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ns/observability/v-next/helpers.ts","../src/storage/domains/observability/v-next/polling.ts","../src/storage/domains/observability/v-next/listing.ts","../src/storage/domains/observability/v-next/olap.ts","../src/storage/db/sanitize-json.ts","../src/storage/domains/observability/v-next/sql.ts","../src/storage/domains/observability/v-next/feedback.ts","../src/storage/domains/observability/v-next/logs.ts","../src/storage/domains/observability/v-next/metrics.ts","../src/storage/domains/observability/v-next/partitioning.ts","../src/storage/domains/observability/v-next/retention.ts","../src/storage/domains/observability/v-next/scores.ts","../src/storage/domains/observability/v-next/trace-query.ts","../src/storage/domains/observability/v-next/traces.ts","../src/storage/domains/observability/v-next/tracing.ts","../src/storage/domains/observability/v-next/index.ts","../src/storage/domains/prompt-blocks/index.ts","../src/storage/domains/schedules/index.ts","../src/storage/domains/scorer-definitions/index.ts","../src/storage/domains/scores/index.ts","../src/storage/domains/skills/index.ts","../src/storage/domains/thread-state/index.ts","../src/storage/domains/tool-provider-connections/index.ts","../src/storage/domains/workflow-definitions/index.ts","../src/storage/domains/workflows/index.ts","../src/storage/domains/workspaces/index.ts","../src/storage/factory-storage.ts","../src/storage/index.ts","../src/vector/prompt.ts"],"sourcesContent":["import type { ConnectionOptions } from 'node:tls';\nimport type { CreateIndexOptions, RetentionConfig } from '@mastra/core/storage';\nimport type { ClientConfig, Pool, PoolConfig } from 'pg';\n\n/**\n * Base configuration options shared across PostgreSQL configs.\n */\nexport interface PostgresBaseConfig {\n id: string;\n schemaName?: string;\n /** Optional read-replica pool. Falls back to the writer pool when omitted. */\n readPool?: Pool;\n /**\n * When true, automatic initialization (table creation/migrations) is disabled.\n * This is useful for CI/CD pipelines where you want to:\n * 1. Run migrations explicitly during deployment (not at runtime)\n * 2. Use different credentials for schema changes vs runtime operations\n *\n * When disableInit is true:\n * - The storage will not automatically create/alter tables on first use\n * - You must call `storage.init()` explicitly in your CI/CD scripts\n *\n * @example\n * // In CI/CD script:\n * const storage = new PostgresStore({ ...config, disableInit: false });\n * await storage.init(); // Explicitly run migrations\n *\n * // In runtime application:\n * const storage = new PostgresStore({ ...config, disableInit: true });\n * // No auto-init, tables must already exist\n */\n disableInit?: boolean;\n /**\n * When true, default indexes will not be created during initialization.\n * This is useful when:\n * 1. You want to manage indexes separately or use custom indexes only\n * 2. Default indexes don't match your query patterns\n * 3. You want to reduce initialization time in development\n *\n * @default false\n */\n skipDefaultIndexes?: boolean;\n /**\n * Custom indexes to create during initialization.\n * These indexes are created in addition to default indexes (unless skipDefaultIndexes is true).\n *\n * Each index must specify which table it belongs to. The store will route each index\n * to the appropriate domain based on the table name.\n *\n * @example\n * ```typescript\n * const store = new PostgresStore({\n * connectionString: '...',\n * indexes: [\n * { name: 'my_threads_type_idx', table: 'mastra_threads', columns: ['metadata->>\\'type\\''] },\n * { name: 'my_messages_status_idx', table: 'mastra_messages', columns: ['metadata->>\\'status\\''] },\n * ],\n * });\n * ```\n */\n indexes?: CreateIndexOptions[];\n /**\n * Opt-in, table-granular, age-based retention policies. Declare per-table\n * `maxAge` per domain (e.g. `{ memory: { messages: { maxAge: '30d' } } }`);\n * unset tables are kept forever. Wire `storage.prune()` to your own cron to\n * apply them. See {@link RetentionConfig}.\n */\n retention?: RetentionConfig;\n}\n\n/**\n * Connection string configuration.\n */\nexport interface ConnectionStringConfig extends PostgresBaseConfig {\n connectionString: string;\n ssl?: boolean | ConnectionOptions;\n max?: number;\n idleTimeoutMillis?: number;\n}\n\n/**\n * Host-based configuration.\n */\nexport interface HostConfig extends PostgresBaseConfig {\n host: string;\n port: number;\n database: string;\n user: string;\n password: string;\n ssl?: boolean | ConnectionOptions;\n max?: number;\n idleTimeoutMillis?: number;\n}\n\n/**\n * Pre-configured pg.Pool configuration.\n */\nexport interface PoolInstanceConfig extends PostgresBaseConfig {\n /**\n * Pre-configured writer pg.Pool instance.\n * Use this for direct control over the connection pool, or for\n * integration with libraries that expect a pg.Pool.\n *\n * @example\n * ```typescript\n * import { Pool } from 'pg';\n *\n * const pool = new Pool({ connectionString: '...' });\n * const store = new PostgresStore({ id: 'my-store', pool });\n *\n * // Use store.pool for other libraries that need a pg.Pool\n * ```\n */\n pool: Pool;\n writePool?: never;\n}\n\n/** Pre-configured writer pool using the explicit read/write naming. */\nexport interface WritePoolInstanceConfig extends PostgresBaseConfig {\n writePool: Pool;\n pool?: never;\n}\n\n/**\n * PostgreSQL configuration for PostgresStore.\n *\n * Accepts either:\n * - A pre-configured pg.Pool: `{ id, pool, schemaName? }`\n * - Connection string: `{ id, connectionString, ... }`\n * - Host/port config: `{ id, host, port, database, user, password, ... }`\n * - Cloud SQL connector config: `{ id, stream, ... }` (via pg.ClientConfig)\n */\nexport type PostgresStoreConfig =\n | PoolInstanceConfig\n | WritePoolInstanceConfig\n | ConnectionStringConfig\n | HostConfig\n | (PostgresBaseConfig & ClientConfig);\n\n/**\n * PostgreSQL configuration for PgVector (uses pg with ConnectionOptions)\n */\nexport type PgVectorConfig = (ConnectionStringConfig | HostConfig | (PostgresBaseConfig & ClientConfig)) & {\n pgPoolOptions?: Omit;\n};\n\n/**\n * Type guard for pre-configured pg.Pool config\n */\nexport const isPoolConfig = (cfg: PostgresStoreConfig): cfg is PoolInstanceConfig => {\n return 'pool' in cfg && cfg.pool !== undefined;\n};\n\n/** Type guard for an explicitly named pre-configured writer pool. */\nexport const isWritePoolConfig = (cfg: PostgresStoreConfig): cfg is WritePoolInstanceConfig => {\n return 'writePool' in cfg && cfg.writePool !== undefined;\n};\n\n/**\n * Type guard for connection string config\n */\nexport const isConnectionStringConfig = (cfg: PostgresStoreConfig): cfg is ConnectionStringConfig => {\n return 'connectionString' in cfg && typeof cfg.connectionString === 'string';\n};\n\n/**\n * Type guard for host-based config\n */\nexport const isHostConfig = (cfg: PostgresStoreConfig): cfg is HostConfig => {\n return 'host' in cfg && 'database' in cfg && 'user' in cfg && 'password' in cfg;\n};\n\n/**\n * Type guard for Cloud SQL connector config\n */\nexport const isCloudSqlConfig = (cfg: PostgresStoreConfig): cfg is PostgresBaseConfig & ClientConfig => {\n return 'stream' in cfg || ('password' in cfg && typeof cfg.password === 'function');\n};\n\n/**\n * Validate PostgresStore configuration.\n */\nexport const validateConfig = (name: string, config: PostgresStoreConfig) => {\n if (!config.id || typeof config.id !== 'string' || config.id.trim() === '') {\n throw new Error(`${name}: id must be provided and cannot be empty.`);\n }\n\n if ('pool' in config && 'writePool' in config) {\n throw new Error(`${name}: provide either pool or writePool, not both.`);\n }\n\n // Pool config: user provides a pre-configured writer pg.Pool.\n if (isPoolConfig(config) || isWritePoolConfig(config)) {\n return;\n }\n\n if (isConnectionStringConfig(config)) {\n if (\n !config.connectionString ||\n typeof config.connectionString !== 'string' ||\n config.connectionString.trim() === ''\n ) {\n throw new Error(\n `${name}: connectionString must be provided and cannot be empty. Passing an empty string may cause fallback to local Postgres defaults.`,\n );\n }\n } else if (isCloudSqlConfig(config)) {\n // valid connector config; no-op\n } else if (isHostConfig(config)) {\n const required = ['host', 'database', 'user', 'password'] as const;\n for (const key of required) {\n if (!config[key] || typeof config[key] !== 'string' || config[key].trim() === '') {\n throw new Error(\n `${name}: ${key} must be provided and cannot be empty. Passing an empty string may cause fallback to local Postgres defaults.`,\n );\n }\n }\n } else {\n throw new Error(\n `${name}: invalid config. Provide either {pool}, {connectionString}, {host,port,database,user,password}, or a pg ClientConfig (e.g., Cloud SQL connector with \\`stream\\`).`,\n );\n }\n};\n","import type { ConnectionOptions } from 'node:tls';\nimport type { PoolConfig } from 'pg';\nimport { parse } from 'pg-connection-string';\n\n/**\n * Builds the `pg.Pool` options for a connection-string based config.\n *\n * Shared by both `PostgresStore` and `PgVector` so connection-string SSL\n * precedence behaves identically across the storage and vector code paths.\n *\n * node-postgres re-parses `connectionString` via `pg-connection-string` and\n * `Object.assign`s the parsed result over any explicit options. As a result an\n * `sslmode=` / `ssl=` query param in the URL silently overrides an explicit\n * `ssl` object (e.g. `{ rejectUnauthorized: false }`), producing\n * `UNABLE_TO_GET_ISSUER_CERT_LOCALLY` against self-signed CAs even though the\n * caller asked to skip verification.\n *\n * To avoid that we parse the connection string ourselves and forward the\n * discrete fields, applying the explicit `ssl` last so it always wins. When no\n * explicit `ssl` is provided we keep whatever the URL implied (`sslmode=...`),\n * preserving backwards-compatible behaviour for connection-string-only SSL.\n *\n * @see https://github.com/mastra-ai/mastra/issues/17307\n */\nexport function buildConnectionStringPoolConfig(\n config: {\n connectionString: string;\n ssl?: ConnectionOptions | boolean;\n max?: number;\n idleTimeoutMillis?: number;\n },\n defaults: { max: number; idleTimeoutMillis: number },\n): PoolConfig {\n // `parse` returns ports as strings and may include an `ssl` key derived from\n // the URL; `pg` accepts these discrete fields the same way it would the raw\n // string, minus the precedence quirk above.\n const parsed = parse(config.connectionString) as unknown as PoolConfig;\n\n return {\n ...parsed,\n ...(config.ssl !== undefined ? { ssl: config.ssl } : {}),\n max: config.max ?? defaults.max,\n idleTimeoutMillis: config.idleTimeoutMillis ?? defaults.idleTimeoutMillis,\n };\n}\n","import { BaseFilterTranslator } from '@mastra/core/vector/filter';\nimport type {\n VectorFilter,\n OperatorSupport,\n OperatorValueMap,\n LogicalOperatorValueMap,\n BlacklistedRootOperators,\n VectorFieldValue,\n} from '@mastra/core/vector/filter';\n\ntype PGOperatorValueMap = Omit & {\n $size: number;\n $contains: VectorFieldValue | Record;\n $all: VectorFieldValue;\n $in: VectorFieldValue;\n $nin: VectorFieldValue;\n $eq: VectorFieldValue;\n $ne: VectorFieldValue;\n};\n\ntype PGBlacklisted = BlacklistedRootOperators | '$contains' | '$size';\n\ntype PGFilterValue = VectorFieldValue | RegExp;\n\nexport type PGVectorFilter = VectorFilter<\n keyof PGOperatorValueMap,\n PGOperatorValueMap,\n LogicalOperatorValueMap,\n PGBlacklisted,\n PGFilterValue\n>;\n\n/**\n * Translates MongoDB-style filters to PG compatible filters.\n *\n * Key differences from MongoDB:\n *\n * Logical Operators ($and, $or, $nor):\n * - Can be used at the top level or nested within fields\n * - Can take either a single condition or an array of conditions\n *\n */\nexport class PGFilterTranslator extends BaseFilterTranslator {\n protected override getSupportedOperators(): OperatorSupport {\n return {\n ...BaseFilterTranslator.DEFAULT_OPERATORS,\n custom: ['$contains', '$size'],\n };\n }\n\n translate(filter?: PGVectorFilter): PGVectorFilter {\n if (this.isEmpty(filter)) {\n return filter;\n }\n this.validateFilter(filter);\n return this.translateNode(filter);\n }\n\n private translateNode(node: PGVectorFilter, currentPath: string = ''): any {\n // Helper to wrap result with path if needed\n const withPath = (result: any) => (currentPath ? { [currentPath]: result } : result);\n\n // Handle primitives\n if (this.isPrimitive(node)) {\n return withPath({ $eq: this.normalizeComparisonValue(node) });\n }\n\n // Handle arrays\n if (Array.isArray(node)) {\n return withPath({ $in: this.normalizeArrayValues(node) });\n }\n\n // Handle regex\n if (node instanceof RegExp) {\n return withPath(this.translateRegexPattern(node.source, node.flags));\n }\n\n const entries = Object.entries(node as Record);\n const result: Record = {};\n\n if (node && '$options' in node && !('$regex' in node)) {\n throw new Error('$options is not valid without $regex');\n }\n\n // Handle special regex object format\n if (node && '$regex' in node) {\n const options = (node as any).$options || '';\n return withPath(this.translateRegexPattern((node as any).$regex, options));\n }\n\n // Process remaining entries\n for (const [key, value] of entries) {\n // Skip options as they're handled with $regex\n if (key === '$options') continue;\n\n const newPath = currentPath ? `${currentPath}.${key}` : key;\n\n if (this.isLogicalOperator(key)) {\n result[key] = Array.isArray(value)\n ? value.map((filter: VectorFilter) => this.translateNode(filter))\n : this.translateNode(value);\n } else if (this.isOperator(key)) {\n if (this.isArrayOperator(key) && !Array.isArray(value) && key !== '$elemMatch') {\n result[key] = [value];\n } else if (this.isBasicOperator(key) && Array.isArray(value)) {\n result[key] = JSON.stringify(value);\n } else {\n result[key] = value;\n }\n } else if (typeof value === 'object' && value !== null) {\n // Handle nested objects\n const hasOperators = Object.keys(value).some(k => this.isOperator(k));\n if (hasOperators) {\n result[newPath] = this.translateNode(value);\n } else {\n Object.assign(result, this.translateNode(value, newPath));\n }\n } else {\n result[newPath] = this.translateNode(value);\n }\n }\n\n return result;\n }\n\n private translateRegexPattern(pattern: string, options: string = ''): any {\n if (!options) return { $regex: pattern };\n\n const flags = options\n .split('')\n .filter(f => 'imsux'.includes(f))\n .join('');\n\n return { $regex: flags ? `(?${flags})${pattern}` : pattern };\n }\n}\n","import { parseFieldKey } from '@mastra/core/utils';\nimport type {\n BasicOperator,\n NumericOperator,\n ArrayOperator,\n ElementOperator,\n LogicalOperator,\n RegexOperator,\n VectorFilter,\n} from '@mastra/core/vector/filter';\nimport type { PGVectorFilter } from './filter';\n\ntype OperatorType =\n | BasicOperator\n | NumericOperator\n | ArrayOperator\n | ElementOperator\n | LogicalOperator\n | '$contains'\n | Exclude\n | '$size';\n\ntype FilterOperator = {\n sql: string;\n needsValue: boolean;\n transformValue?: () => any;\n};\n\ntype OperatorFn = (key: string, paramIndex: number, value?: any) => FilterOperator;\n\nconst getTextExtractExpr = (key: string) => {\n const jsonPathKey = parseJsonPathKey(key);\n if (!key.includes('.')) {\n return `metadata->>'${jsonPathKey}'`;\n }\n return `metadata#>>'{${jsonPathKey}}'`;\n};\n\nconst getJsonExtractExpr = (key: string) => {\n const jsonPathKey = parseJsonPathKey(key);\n if (!key.includes('.')) {\n return `metadata->'${jsonPathKey}'`;\n }\n return `metadata#>'{${jsonPathKey}}'`;\n};\n\nconst createBasicOperator = (symbol: string) => {\n return (key: string, paramIndex: number) => {\n const textExtract = getTextExtractExpr(key);\n return {\n sql: `CASE\n WHEN $${paramIndex}::text IS NULL THEN ${textExtract} IS ${symbol === '=' ? '' : 'NOT'} NULL\n ELSE ${textExtract} ${symbol} $${paramIndex}::text\n END`,\n needsValue: true,\n };\n };\n};\n\nconst createNumericOperator = (symbol: string) => {\n return (key: string, paramIndex: number, value?: any) => {\n const textExtract = getTextExtractExpr(key);\n const jsonExtract = getJsonExtractExpr(key);\n\n // Check if the value is a number or can be parsed as a number\n const isNumeric =\n typeof value === 'number' || (typeof value === 'string' && !isNaN(Number(value)) && value.trim() !== '');\n\n // Use numeric comparison for numbers, text comparison for strings/dates\n if (isNumeric) {\n // JSONB metadata is schemaless, so a candidate row may hold a non-numeric\n // value at this path (e.g. { price: 'N/A' }). Casting the column to ::numeric\n // unconditionally makes Postgres raise 22P02 and fail the ENTIRE query instead\n // of that row simply not matching. Guard the cast with jsonb_typeof so only\n // number-typed rows are compared and everything else is excluded, mirroring the\n // $size/$in pattern already used in this file and MongoDB-style range semantics.\n return {\n sql: `(CASE WHEN jsonb_typeof(${jsonExtract}) = 'number' THEN (${textExtract})::numeric ${symbol} $${paramIndex}::numeric ELSE NULL END)`,\n needsValue: true,\n };\n } else {\n // Use text comparison for strings (including ISO 8601 dates which sort correctly)\n return {\n sql: `${textExtract} ${symbol} $${paramIndex}::text`,\n needsValue: true,\n };\n }\n };\n};\n\nfunction buildElemMatchConditions(value: any, paramIndex: number): { sql: string; values: any[] } {\n if (typeof value !== 'object' || Array.isArray(value)) {\n throw new Error('$elemMatch requires an object with conditions');\n }\n\n const conditions: string[] = [];\n const values: any[] = [];\n\n Object.entries(value).forEach(([field, val]) => {\n const nextParamIndex = paramIndex + values.length;\n\n let paramOperator;\n let paramKey;\n let paramValue;\n\n if (field.startsWith('$')) {\n paramOperator = field;\n paramKey = '';\n paramValue = val;\n } else if (typeof val === 'object' && !Array.isArray(val)) {\n const [op, opValue] = Object.entries(val || {})[0] || [];\n paramOperator = op;\n paramKey = field;\n paramValue = opValue;\n } else {\n paramOperator = '$eq';\n paramKey = field;\n paramValue = val;\n }\n\n const operatorFn = FILTER_OPERATORS[paramOperator as OperatorType];\n if (!operatorFn) {\n throw new Error(`Invalid operator: ${paramOperator}`);\n }\n const result = operatorFn(paramKey, nextParamIndex, paramValue);\n\n // Rewrite every column reference to the per-element alias. Order matters:\n // replace the longer `metadata#>>` / `metadata->>` tokens before `metadata#>` / `metadata->` so the latter\n // doesn't partially match the former (e.g. the jsonb_typeof guard emitted by\n // the numeric operators uses the single-arrow `metadata->` / `metadata#>` form).\n const sql = result.sql\n .replaceAll('metadata->>', 'elem->>')\n .replaceAll('metadata->', 'elem->')\n .replaceAll('metadata#>>', 'elem#>>')\n .replaceAll('metadata#>', 'elem#>');\n conditions.push(sql);\n if (result.needsValue) {\n values.push(paramValue);\n }\n });\n\n return {\n sql: conditions.join(' AND '),\n values,\n };\n}\n\n// Define all filter operators\nconst FILTER_OPERATORS: Record = {\n $eq: createBasicOperator('='),\n $ne: createBasicOperator('!='),\n $gt: createNumericOperator('>'),\n $gte: createNumericOperator('>='),\n $lt: createNumericOperator('<'),\n $lte: createNumericOperator('<='),\n\n // Array Operators\n $in: (key, paramIndex) => {\n const textExtract = getTextExtractExpr(key);\n const jsonExtract = getJsonExtractExpr(key);\n return {\n sql: `(\n CASE\n WHEN jsonb_typeof(${jsonExtract}) = 'array' THEN\n EXISTS (\n SELECT 1 FROM jsonb_array_elements_text(${jsonExtract}) as elem\n WHERE elem = ANY($${paramIndex}::text[])\n )\n ELSE ${textExtract} = ANY($${paramIndex}::text[])\n END\n )`,\n needsValue: true,\n };\n },\n $nin: (key, paramIndex) => {\n const textExtract = getTextExtractExpr(key);\n const jsonExtract = getJsonExtractExpr(key);\n return {\n sql: `(\n CASE\n WHEN jsonb_typeof(${jsonExtract}) = 'array' THEN\n NOT EXISTS (\n SELECT 1 FROM jsonb_array_elements_text(${jsonExtract}) as elem\n WHERE elem = ANY($${paramIndex}::text[])\n )\n ELSE ${textExtract} != ALL($${paramIndex}::text[])\n END\n )`,\n needsValue: true,\n };\n },\n $all: (key, paramIndex) => {\n const jsonExtract = getJsonExtractExpr(key);\n return {\n sql: `CASE WHEN array_length($${paramIndex}::text[], 1) IS NULL THEN false\n ELSE (${jsonExtract})::jsonb ?& $${paramIndex}::text[] END`,\n needsValue: true,\n };\n },\n $elemMatch: (key: string, paramIndex: number, value: any): FilterOperator => {\n const { sql, values } = buildElemMatchConditions(value, paramIndex);\n const jsonExtract = getJsonExtractExpr(key);\n return {\n sql: `(\n CASE\n WHEN jsonb_typeof(${jsonExtract}) = 'array' THEN\n EXISTS (\n SELECT 1\n FROM jsonb_array_elements(${jsonExtract}) as elem\n WHERE ${sql}\n )\n ELSE FALSE\n END\n )`,\n needsValue: true,\n transformValue: () => values,\n };\n },\n // Element Operators\n $exists: (key, paramIndex, value) => {\n const jsonPathKey = parseJsonPathKey(key);\n // If value is false, check that the key does NOT exist\n if (value === false) {\n return {\n sql: `NOT (metadata ? '${jsonPathKey}')`,\n needsValue: false,\n };\n }\n // Otherwise (true or truthy), check that the key exists\n return {\n sql: `metadata ? '${jsonPathKey}'`,\n needsValue: false,\n };\n },\n\n // Logical Operators\n $and: key => ({ sql: `(${key})`, needsValue: false }),\n $or: key => ({ sql: `(${key})`, needsValue: false }),\n $not: key => ({ sql: `(${key})`, needsValue: false }),\n $nor: key => ({ sql: `NOT (${key})`, needsValue: false }),\n\n // Regex Operators\n $regex: (key, paramIndex) => {\n const textExtract = getTextExtractExpr(key);\n return {\n sql: `${textExtract} ~ $${paramIndex}`,\n needsValue: true,\n };\n },\n\n $contains: (key, paramIndex, value: any) => {\n const textExtract = getTextExtractExpr(key);\n const jsonExtract = getJsonExtractExpr(key);\n let sql;\n if (Array.isArray(value)) {\n sql = `(${jsonExtract}) ?& $${paramIndex}`;\n } else if (typeof value === 'string') {\n sql = `${textExtract} ILIKE '%' || $${paramIndex} || '%' ESCAPE '\\\\'`;\n } else {\n sql = `${textExtract} = $${paramIndex}`;\n }\n return {\n sql,\n needsValue: true,\n transformValue: () =>\n Array.isArray(value) ? value.map(String) : typeof value === 'string' ? escapeLikePattern(value) : value,\n };\n },\n /**\n * $objectContains: Postgres-only operator for true JSONB object containment.\n * Usage: { field: { $objectContains: { ...subobject } } }\n */\n // $objectContains: (key, paramIndex) => ({\n // sql: `metadata @> $${paramIndex}::jsonb`,\n // needsValue: true,\n // transformValue: value => {\n // const parts = key.split('.');\n // return JSON.stringify(parts.reduceRight((value, key) => ({ [key]: value }), value));\n // },\n // }),\n $size: (key: string, paramIndex: number) => {\n const jsonExtract = getJsonExtractExpr(key);\n return {\n sql: `(\n CASE\n WHEN jsonb_typeof(${jsonExtract}) = 'array' THEN\n jsonb_array_length(${jsonExtract}) = $${paramIndex}\n ELSE FALSE\n END\n )`,\n needsValue: true,\n };\n },\n};\n\ninterface FilterResult {\n sql: string;\n values: any[];\n}\n\nconst parseJsonPathKey = (key: string) => {\n const parsedKey = key !== '' ? parseFieldKey(key) : '';\n return parsedKey.replace(/\\./g, ',');\n};\n\nfunction escapeLikePattern(str: string): string {\n return str.replace(/([%_\\\\])/g, '\\\\$1');\n}\n\n/**\n * Build a filter query for DELETE operations (no minScore/topK parameters)\n */\nexport function buildDeleteFilterQuery(filter: PGVectorFilter): FilterResult {\n const values: any[] = [];\n\n function buildCondition(key: string, value: any, parentPath: string): string {\n // Handle logical operators ($and/$or)\n if (['$and', '$or', '$not', '$nor'].includes(key)) {\n return handleLogicalOperator(key as '$and' | '$or' | '$not' | '$nor', value, parentPath);\n }\n\n // If condition is not a FilterCondition object, assume it's an equality check\n if (!value || typeof value !== 'object') {\n values.push(value);\n return `${getTextExtractExpr(key)} = $${values.length}`;\n }\n\n // Handle operator conditions\n const entries = Object.entries(value);\n\n // If multiple operators on same field (e.g., { $gte: 20, $lte: 80 }), combine with AND\n if (entries.length > 1) {\n const conditions = entries.map(([operator, operatorValue]) => {\n // Special handling for nested $not\n if (operator === '$not') {\n const nestedEntries = Object.entries(operatorValue as Record);\n const nestedConditions = nestedEntries\n .map(([nestedOp, nestedValue]) => {\n if (!FILTER_OPERATORS[nestedOp as OperatorType]) {\n throw new Error(`Invalid operator in $not condition: ${nestedOp}`);\n }\n const operatorFn = FILTER_OPERATORS[nestedOp as OperatorType]!;\n const operatorResult = operatorFn(key, values.length + 1, nestedValue);\n if (operatorResult.needsValue) {\n const transformedValue = operatorResult.transformValue ? operatorResult.transformValue() : nestedValue;\n if (Array.isArray(transformedValue) && nestedOp === '$elemMatch') {\n values.push(...transformedValue);\n } else {\n values.push(transformedValue);\n }\n }\n return operatorResult.sql;\n })\n .join(' AND ');\n return `NOT (${nestedConditions})`;\n }\n\n if (!FILTER_OPERATORS[operator as OperatorType]) {\n throw new Error(`Invalid operator: ${operator}`);\n }\n const operatorFn = FILTER_OPERATORS[operator as OperatorType]!;\n const operatorResult = operatorFn(key, values.length + 1, operatorValue);\n if (operatorResult.needsValue) {\n const transformedValue = operatorResult.transformValue ? operatorResult.transformValue() : operatorValue;\n if (Array.isArray(transformedValue) && operator === '$elemMatch') {\n values.push(...transformedValue);\n } else {\n values.push(transformedValue);\n }\n }\n return operatorResult.sql;\n });\n return conditions.join(' AND ');\n }\n\n // Single operator case\n const [[operator, operatorValue] = []] = entries;\n\n // Special handling for nested $not\n if (operator === '$not') {\n const nestedEntries = Object.entries(operatorValue as Record);\n const conditions = nestedEntries\n .map(([nestedOp, nestedValue]) => {\n if (!FILTER_OPERATORS[nestedOp as OperatorType]) {\n throw new Error(`Invalid operator in $not condition: ${nestedOp}`);\n }\n const operatorFn = FILTER_OPERATORS[nestedOp as OperatorType]!;\n const operatorResult = operatorFn(key, values.length + 1, nestedValue);\n if (operatorResult.needsValue) {\n const transformedValue = operatorResult.transformValue ? operatorResult.transformValue() : nestedValue;\n if (Array.isArray(transformedValue) && nestedOp === '$elemMatch') {\n values.push(...transformedValue);\n } else {\n values.push(transformedValue);\n }\n }\n return operatorResult.sql;\n })\n .join(' AND ');\n\n return `NOT (${conditions})`;\n }\n const operatorFn = FILTER_OPERATORS[operator as OperatorType]!;\n const operatorResult = operatorFn(key, values.length + 1, operatorValue);\n if (operatorResult.needsValue) {\n const transformedValue = operatorResult.transformValue ? operatorResult.transformValue() : operatorValue;\n if (Array.isArray(transformedValue) && operator === '$elemMatch') {\n values.push(...transformedValue);\n } else {\n values.push(transformedValue);\n }\n }\n return operatorResult.sql;\n }\n\n function handleLogicalOperator(\n key: '$and' | '$or' | '$not' | '$nor',\n value: VectorFilter[],\n parentPath: string,\n ): string {\n if (key === '$not') {\n // For top-level $not\n const entries = Object.entries(value);\n const conditions = entries\n .map(([fieldKey, fieldValue]) => buildCondition(fieldKey, fieldValue, key))\n .join(' AND ');\n return `NOT (${conditions})`;\n }\n\n // Handle empty conditions\n if (!value || value.length === 0) {\n switch (key) {\n case '$and':\n case '$nor':\n return 'true'; // Empty $and/$nor match everything\n case '$or':\n return 'false'; // Empty $or matches nothing\n default:\n return 'true';\n }\n }\n\n const joinOperator = key === '$or' || key === '$nor' ? 'OR' : 'AND';\n const conditions = value.map((f: VectorFilter) => {\n const entries = Object.entries(f || {});\n if (entries.length === 0) return '';\n\n const [firstKey, firstValue] = entries[0] || [];\n if (['$and', '$or', '$not', '$nor'].includes(firstKey as string)) {\n return buildCondition(firstKey as string, firstValue, parentPath);\n }\n return entries.map(([k, v]) => buildCondition(k, v, parentPath)).join(` ${joinOperator} `);\n });\n\n const joined = conditions.join(` ${joinOperator} `);\n const operatorFn = FILTER_OPERATORS[key]!;\n return operatorFn(joined, 0, value).sql;\n }\n\n if (!filter) {\n return { sql: '', values };\n }\n\n const conditions = Object.entries(filter)\n .map(([key, value]) => buildCondition(key, value, ''))\n .filter(Boolean)\n .join(' AND ');\n\n return { sql: conditions ? `WHERE ${conditions}` : '', values };\n}\n\nexport function buildFilterQuery(filter: PGVectorFilter, minScore: number, topK: number): FilterResult {\n const values = [minScore, topK];\n\n function buildCondition(key: string, value: any, parentPath: string): string {\n // Handle logical operators ($and/$or)\n if (['$and', '$or', '$not', '$nor'].includes(key)) {\n return handleLogicalOperator(key as '$and' | '$or' | '$not' | '$nor', value, parentPath);\n }\n\n // If condition is not a FilterCondition object, assume it's an equality check\n if (!value || typeof value !== 'object') {\n values.push(value);\n return `${getTextExtractExpr(key)} = $${values.length}`;\n }\n\n // Handle operator conditions\n const entries = Object.entries(value);\n\n // If multiple operators on same field (e.g., { $gte: 20, $lte: 80 }), combine with AND\n if (entries.length > 1) {\n const conditions = entries.map(([operator, operatorValue]) => {\n // Special handling for nested $not\n if (operator === '$not') {\n const nestedEntries = Object.entries(operatorValue as Record);\n const nestedConditions = nestedEntries\n .map(([nestedOp, nestedValue]) => {\n if (!FILTER_OPERATORS[nestedOp as OperatorType]) {\n throw new Error(`Invalid operator in $not condition: ${nestedOp}`);\n }\n const operatorFn = FILTER_OPERATORS[nestedOp as OperatorType]!;\n const operatorResult = operatorFn(key, values.length + 1, nestedValue);\n if (operatorResult.needsValue) {\n const transformedValue = operatorResult.transformValue ? operatorResult.transformValue() : nestedValue;\n if (Array.isArray(transformedValue) && nestedOp === '$elemMatch') {\n values.push(...transformedValue);\n } else {\n values.push(transformedValue);\n }\n }\n return operatorResult.sql;\n })\n .join(' AND ');\n return `NOT (${nestedConditions})`;\n }\n\n if (!FILTER_OPERATORS[operator as OperatorType]) {\n throw new Error(`Invalid operator: ${operator}`);\n }\n const operatorFn = FILTER_OPERATORS[operator as OperatorType]!;\n const operatorResult = operatorFn(key, values.length + 1, operatorValue);\n if (operatorResult.needsValue) {\n const transformedValue = operatorResult.transformValue ? operatorResult.transformValue() : operatorValue;\n if (Array.isArray(transformedValue) && operator === '$elemMatch') {\n values.push(...transformedValue);\n } else {\n values.push(transformedValue);\n }\n }\n return operatorResult.sql;\n });\n return conditions.join(' AND ');\n }\n\n // Single operator case\n const [[operator, operatorValue] = []] = entries;\n\n // Special handling for nested $not\n if (operator === '$not') {\n const nestedEntries = Object.entries(operatorValue as Record);\n const conditions = nestedEntries\n .map(([nestedOp, nestedValue]) => {\n if (!FILTER_OPERATORS[nestedOp as OperatorType]) {\n throw new Error(`Invalid operator in $not condition: ${nestedOp}`);\n }\n const operatorFn = FILTER_OPERATORS[nestedOp as OperatorType]!;\n const operatorResult = operatorFn(key, values.length + 1, nestedValue);\n if (operatorResult.needsValue) {\n const transformedValue = operatorResult.transformValue ? operatorResult.transformValue() : nestedValue;\n if (Array.isArray(transformedValue) && nestedOp === '$elemMatch') {\n values.push(...transformedValue);\n } else {\n values.push(transformedValue);\n }\n }\n return operatorResult.sql;\n })\n .join(' AND ');\n\n return `NOT (${conditions})`;\n }\n const operatorFn = FILTER_OPERATORS[operator as OperatorType]!;\n const operatorResult = operatorFn(key, values.length + 1, operatorValue);\n if (operatorResult.needsValue) {\n const transformedValue = operatorResult.transformValue ? operatorResult.transformValue() : operatorValue;\n if (Array.isArray(transformedValue) && operator === '$elemMatch') {\n values.push(...transformedValue);\n } else {\n values.push(transformedValue);\n }\n }\n return operatorResult.sql;\n }\n\n function handleLogicalOperator(\n key: '$and' | '$or' | '$not' | '$nor',\n value: VectorFilter[],\n parentPath: string,\n ): string {\n if (key === '$not') {\n // For top-level $not\n const entries = Object.entries(value);\n const conditions = entries\n .map(([fieldKey, fieldValue]) => buildCondition(fieldKey, fieldValue, key))\n .join(' AND ');\n return `NOT (${conditions})`;\n }\n\n // Handle empty conditions\n if (!value || value.length === 0) {\n switch (key) {\n case '$and':\n case '$nor':\n return 'true'; // Empty $and/$nor match everything\n case '$or':\n return 'false'; // Empty $or matches nothing\n default:\n return 'true';\n }\n }\n\n const joinOperator = key === '$or' || key === '$nor' ? 'OR' : 'AND';\n const conditions = value.map((f: VectorFilter) => {\n const entries = Object.entries(f || {});\n if (entries.length === 0) return '';\n\n const [firstKey, firstValue] = entries[0] || [];\n if (['$and', '$or', '$not', '$nor'].includes(firstKey as string)) {\n return buildCondition(firstKey as string, firstValue, parentPath);\n }\n return entries.map(([k, v]) => buildCondition(k, v, parentPath)).join(` ${joinOperator} `);\n });\n\n const joined = conditions.join(` ${joinOperator} `);\n const operatorFn = FILTER_OPERATORS[key]!;\n return operatorFn(joined, 0, value).sql;\n }\n\n if (!filter) {\n return { sql: '', values };\n }\n\n const conditions = Object.entries(filter)\n .map(([key, value]) => buildCondition(key, value, ''))\n .filter(Boolean)\n .join(' AND ');\n\n return { sql: conditions ? `WHERE ${conditions}` : '', values };\n}\n","import { createHash } from 'node:crypto';\nimport { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport { createVectorErrorId } from '@mastra/core/storage';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport { MastraVector, validateUpsertInput, validateTopK } from '@mastra/core/vector';\nimport type {\n IndexStats,\n QueryResult,\n QueryVectorParams,\n CreateIndexParams,\n UpsertVectorParams,\n DescribeIndexParams,\n DeleteIndexParams,\n DeleteVectorParams,\n DeleteVectorsParams,\n UpdateVectorParams,\n} from '@mastra/core/vector';\nimport { Mutex } from 'async-mutex';\nimport * as pg from 'pg';\nimport xxhash from 'xxhash-wasm';\n\nimport { validateConfig, isCloudSqlConfig, isConnectionStringConfig, isHostConfig } from '../shared/config';\nimport type { PgVectorConfig } from '../shared/config';\nimport { buildConnectionStringPoolConfig } from '../shared/pool-config';\nimport { PGFilterTranslator } from './filter';\nimport type { PGVectorFilter } from './filter';\nimport { buildFilterQuery, buildDeleteFilterQuery } from './sql-builder';\nimport type { IndexConfig, IndexType, PgMetric, VectorOps, VectorType } from './types';\nexport type { PgMetric, VectorOps, VectorType, IndexConfig, IndexType } from './types';\n\nexport interface PGIndexStats extends IndexStats {\n type: IndexType;\n /**\n * The pgvector storage type used for this index.\n * - 'vector': Full precision (4 bytes per dimension)\n * - 'halfvec': Half precision (2 bytes per dimension)\n * - 'bit': Binary vectors (1 bit per dimension)\n * - 'sparsevec': Sparse vectors (only non-zero elements stored)\n */\n vectorType: VectorType;\n config: {\n m?: number;\n efConstruction?: number;\n lists?: number;\n probes?: number;\n };\n}\n\n/**\n * The subset of {@link PGIndexStats} that can be read from the Postgres catalog alone.\n *\n * Everything here comes from `information_schema.columns`, `pg_attribute` and `pg_index`,\n * which are cheap regardless of how large the table is. The row count is deliberately\n * excluded: it requires `SELECT COUNT(*)`, a full heap scan on large indexes.\n */\ntype PGIndexMetadata = Omit;\n\ninterface PgQueryVectorParams extends QueryVectorParams {\n namespace?: string;\n minScore?: number;\n /**\n * HNSW search parameter. Controls the size of the dynamic candidate\n * list during search. Higher values improve accuracy at the cost of speed.\n */\n ef?: number;\n /**\n * IVFFlat probe parameter. Number of cells to visit during search.\n * Higher values improve accuracy at the cost of speed.\n */\n probes?: number;\n}\n\ninterface PgCreateIndexParams extends Omit {\n /**\n * Distance metric for the index.\n * Standard: 'cosine', 'euclidean', 'dotproduct' (work with all vector types)\n * Bit-specific: 'hamming' (count differing bits), 'jaccard' (1 - intersection/union)\n *\n * For 'bit' vectorType, defaults to 'hamming' if not specified.\n * 'jaccard' requires HNSW index (IVFFlat does not support Jaccard distance).\n */\n metric?: PgMetric;\n indexConfig?: IndexConfig;\n buildIndex?: boolean;\n /**\n * The pgvector storage type for embeddings.\n * - 'vector': Full precision (4 bytes per dimension), max 2000 dimensions for indexes (default)\n * - 'halfvec': Half precision (2 bytes per dimension), max 4000 dimensions for indexes\n * - 'bit': Binary vectors (1 bit per dimension), up to 64,000 dimensions for indexes\n * - 'sparsevec': Sparse vectors (only non-zero elements), up to 1,000 non-zero elements for indexes\n *\n * Use 'halfvec' for large dimension models like text-embedding-3-large (3072 dimensions)\n * Use 'bit' for binary quantization (reduced storage, faster search)\n * Use 'sparsevec' for BM25/TF-IDF and other sparse embeddings\n */\n vectorType?: VectorType;\n /**\n * Metadata fields to create btree indexes for.\n * This improves query performance when filtering vectors by these metadata fields.\n *\n * Each entry creates a btree index on `metadata->>'field_name'`.\n *\n * Example: `['thread_id', 'resource_id']` creates indexes that speed up\n * queries filtering by `thread_id` or `resource_id` in the metadata JSONB column.\n */\n metadataIndexes?: string[];\n}\n\ninterface PgDefineIndexParams {\n indexName: string;\n metric: PgMetric;\n indexConfig: IndexConfig;\n vectorType?: VectorType;\n}\n\ntype PgUpsertVectorParams = UpsertVectorParams & {\n namespace?: string;\n};\n\ntype PgUpdateVectorParams = UpdateVectorParams & {\n namespace?: string;\n};\n\ntype PgDeleteVectorParams = DeleteVectorParams & {\n namespace?: string;\n};\n\ntype PgDeleteVectorsParams = DeleteVectorsParams & {\n namespace?: string;\n};\n\nconst DEFAULT_NAMESPACE = 'default';\n\n// Postgres allows at most 65535 bind parameters per statement; upserts bind 4 per row.\nconst MAX_UPSERT_ROWS_PER_STATEMENT = Math.floor(65535 / 4);\n\nexport class PgVector extends MastraVector {\n public pool: pg.Pool;\n /**\n * Cache for the public `getIndexInfo()`. Holds the in-flight promise rather than the\n * resolved value so concurrent callers on a cold cache share a single round trip.\n */\n private describeIndexCache: Map> = new Map();\n /**\n * Cache for the catalog-only index metadata used by the internal hot paths\n * (cache warmup, query, upsert, updateVector, setupIndex). Also memoizes the promise.\n */\n private indexMetadataCache: Map> = new Map();\n private createdIndexes = new Map();\n private namespaceReadyIndexes = new Set();\n /** In-flight lazy namespace migrations, keyed by index name (see {@link ensureNamespaceReady}). */\n private namespaceReadyCache: Map> = new Map();\n private indexVectorTypes = new Map();\n private mutexesByName = new Map();\n private schema?: string;\n private setupSchemaPromise: Promise | null = null;\n private installVectorExtensionPromise: Promise | null = null;\n private vectorExtensionInstalled: boolean | undefined = undefined;\n private vectorExtensionSchema: string | null = null;\n private vectorExtensionVersion: string | null = null;\n private schemaSetupComplete: boolean | undefined = undefined;\n private cacheWarmupPromise: Promise | null = null;\n\n constructor(config: PgVectorConfig & { id: string }) {\n try {\n validateConfig('PgVector', config);\n super({ id: config.id, disableInit: config.disableInit });\n\n this.schema = config.schemaName;\n\n let poolConfig: pg.PoolConfig;\n\n if (isConnectionStringConfig(config)) {\n // Delegate to the shared helper so an explicit `ssl` option wins over an\n // `sslmode=`/`ssl=` query param in the connection string, matching\n // PostgresStore. See https://github.com/mastra-ai/mastra/issues/17307\n poolConfig = {\n ...buildConnectionStringPoolConfig(config, { max: 20, idleTimeoutMillis: 30000 }),\n connectionTimeoutMillis: 2000,\n ...config.pgPoolOptions,\n };\n } else if (isCloudSqlConfig(config)) {\n poolConfig = {\n ...config,\n max: config.pgPoolOptions?.max ?? 20,\n idleTimeoutMillis: config.pgPoolOptions?.idleTimeoutMillis ?? 30000,\n connectionTimeoutMillis: 2000,\n ...config.pgPoolOptions,\n } as pg.PoolConfig;\n } else if (isHostConfig(config)) {\n poolConfig = {\n host: config.host,\n port: config.port,\n database: config.database,\n user: config.user,\n password: config.password,\n ssl: config.ssl,\n max: config.max ?? 20,\n idleTimeoutMillis: config.idleTimeoutMillis ?? 30000,\n connectionTimeoutMillis: 2000,\n ...config.pgPoolOptions,\n };\n } else {\n throw new Error('PgVector: invalid configuration provided');\n }\n\n this.pool = new pg.Pool(poolConfig);\n\n // pg emits 'error' on the pool when an idle client's connection drops\n // (backend restart, network partition, cloud proxies reaping idle\n // sockets). Without a listener Node escalates the event to an\n // uncaughtException and crashes the process. The pool already discards\n // the dead client, so warn and let the next checkout reconnect.\n this.pool.on('error', err => {\n this.logger?.warn?.(\n 'PgVector: idle pool client error (pool discards the client and reconnects on next checkout)',\n {\n err: err instanceof Error ? err.message : err,\n },\n );\n });\n\n // Warm the created indexes cache in background so we don't need to check if indexes exist every time\n // Store the promise so we can wait for it during disconnect to avoid \"pool already closed\" errors\n this.cacheWarmupPromise = (async () => {\n try {\n const existingIndexes = await this.listIndexes();\n await Promise.all(\n existingIndexes.map(async indexName => {\n const info = await this.getIndexMetadata({ indexName });\n const key = await this.getIndexCacheKey({\n indexName,\n metric: info.metric,\n dimension: info.dimension,\n type: info.type,\n vectorType: info.vectorType,\n });\n this.createdIndexes.set(indexName, key);\n this.indexVectorTypes.set(indexName, info.vectorType);\n }),\n );\n } catch (error) {\n // Don't throw - cache warming is optional optimization\n // If it fails (e.g., pool closed early), just log and continue\n this.logger?.debug('Cache warming skipped or failed', { error });\n }\n })();\n } catch (error) {\n throw new MastraError(\n {\n id: createVectorErrorId('PG', 'INITIALIZATION', 'FAILED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n schemaName: 'schemaName' in config ? (config.schemaName ?? '') : '',\n },\n },\n error,\n );\n }\n }\n\n private getMutexByName(indexName: string) {\n if (!this.mutexesByName.has(indexName)) this.mutexesByName.set(indexName, new Mutex());\n return this.mutexesByName.get(indexName)!;\n }\n\n /**\n * Detects which schema contains the vector extension and its version\n */\n private async detectVectorExtensionSchema(client: pg.PoolClient): Promise {\n try {\n const result = await client.query(`\n SELECT n.nspname as schema_name, e.extversion as version\n FROM pg_extension e\n JOIN pg_namespace n ON e.extnamespace = n.oid\n WHERE e.extname = 'vector'\n LIMIT 1;\n `);\n\n if (result.rows.length > 0) {\n this.vectorExtensionSchema = result.rows[0].schema_name;\n this.vectorExtensionVersion = result.rows[0].version;\n this.logger.debug('Vector extension found', {\n schema: this.vectorExtensionSchema,\n version: this.vectorExtensionVersion,\n });\n return this.vectorExtensionSchema;\n }\n\n return null;\n } catch (error) {\n this.logger.debug('Could not detect vector extension schema', { error });\n return null;\n }\n }\n\n /**\n * Sets search_path on the client connection so that vector operators (e.g. <=>, vector_cosine_ops)\n * are resolvable when the pgvector extension is installed in a non-default schema.\n *\n * PostgreSQL's default search_path is (\"$user\", public). If the extension lives in a custom schema\n * (e.g. \"myapp\"), operator classes and distance operators won't resolve without this.\n */\n private async ensureSearchPath(client: pg.PoolClient) {\n // Lazily detect extension schema if not yet known\n if (!this.vectorExtensionSchema) {\n await this.detectVectorExtensionSchema(client);\n }\n\n if (\n this.vectorExtensionSchema &&\n this.vectorExtensionSchema !== 'public' &&\n this.vectorExtensionSchema !== 'pg_catalog'\n ) {\n const schemas = new Set();\n schemas.add(this.vectorExtensionSchema);\n if (this.schema) schemas.add(this.schema);\n schemas.add('public');\n await client.query(`SET search_path TO ${[...schemas].map(s => `\"${s}\"`).join(', ')}`);\n }\n }\n\n /**\n * Checks if the installed pgvector version supports halfvec type.\n * halfvec was introduced in pgvector 0.7.0.\n */\n private supportsHalfvec(): boolean {\n if (!this.vectorExtensionVersion) {\n return false;\n }\n // Parse version string, handling non-numeric suffixes (e.g., \"0.7.0-beta\", \"0.8.0+build\")\n const parts = this.vectorExtensionVersion.split('.');\n const major = parseInt(parts[0] ?? '', 10);\n const minor = parseInt(parts[1] ?? '', 10);\n // If parsing failed (NaN), assume version doesn't support halfvec\n if (isNaN(major) || isNaN(minor)) {\n return false;\n }\n // halfvec was introduced in pgvector 0.7.0\n return major > 0 || (major === 0 && minor >= 7);\n }\n\n /** Checks if pgvector >= 0.7.0 (required for bit type). */\n private supportsBit(): boolean {\n return this.supportsHalfvec();\n }\n\n /** Checks if pgvector >= 0.7.0 (required for sparsevec type). */\n private supportsSparsevec(): boolean {\n return this.supportsHalfvec();\n }\n\n /**\n * Gets the properly qualified vector type name\n * @param vectorType - The type of vector storage\n */\n private getVectorTypeName(vectorType: VectorType = 'vector', dimension?: number): string {\n // 'bit' is a native PostgreSQL type (in pg_catalog), not a pgvector extension type.\n // It must never be schema-qualified with the extension schema.\n // When dimension is provided, return 'bit(N)' for proper casting (PostgreSQL treats bare 'bit' as 'bit(1)').\n if (vectorType === 'bit') {\n return dimension ? `bit(${dimension})` : 'bit';\n }\n\n // If we know where the extension is, use that\n if (this.vectorExtensionSchema) {\n // If it's in pg_catalog, return the type directly\n if (this.vectorExtensionSchema === 'pg_catalog') {\n return vectorType;\n }\n // Issue #10061: Always qualify with schema where vector extension is installed\n // This ensures the type is found regardless of the session's search_path\n const validatedSchema = parseSqlIdentifier(this.vectorExtensionSchema, 'vector extension schema');\n return `${validatedSchema}.${vectorType}`;\n }\n\n // Fallback to unqualified (will use search_path)\n return vectorType;\n }\n\n /**\n * Returns the operator class, distance operator, and score expression for a\n * standard (non-bit) vector type prefix and metric.\n */\n private getMetricOps(\n prefix: string,\n metric: PgMetric,\n ): Pick {\n switch (metric) {\n case 'euclidean':\n return {\n operatorClass: `${prefix}_l2_ops`,\n distanceOperator: '<->',\n scoreExpr: d => `1.0 / (1.0 + (${d}))`,\n };\n case 'dotproduct':\n return {\n operatorClass: `${prefix}_ip_ops`,\n distanceOperator: '<#>',\n scoreExpr: d => `(${d}) * -1`,\n };\n default:\n return {\n operatorClass: `${prefix}_cosine_ops`,\n distanceOperator: '<=>',\n scoreExpr: d => `1 - (${d})`,\n };\n }\n }\n\n /**\n * Returns all vector-type-specific operations for the given vectorType and metric.\n */\n private getVectorOps(vectorType: VectorType, metric: PgMetric): VectorOps {\n switch (vectorType) {\n case 'bit':\n return {\n operatorClass: metric === 'jaccard' ? 'bit_jaccard_ops' : 'bit_hamming_ops',\n distanceOperator: metric === 'jaccard' ? '<%>' : '<~>',\n scoreExpr: d => (metric === 'jaccard' ? `1 - (${d})` : `1 - ((${d})::float / bit_length(embedding))`),\n formatVector: v => v.map(x => (x ? '1' : '0')).join(''),\n parseEmbedding: e => e.split('').map(c => (c === '1' ? 1 : 0)),\n };\n\n case 'sparsevec':\n return {\n ...this.getMetricOps('sparsevec', metric),\n formatVector: (v, dimension) => {\n const dim = dimension ?? v.length;\n const nonZero = v\n .map((val, i) => (val !== 0 ? `${i + 1}:${val}` : null))\n .filter(Boolean)\n .join(',');\n return `{${nonZero}}/${dim}`;\n },\n parseEmbedding: e => {\n const match = e.match(/^\\{([^}]*)\\}\\/(\\d+)$/);\n if (!match) return [];\n const dim = parseInt(match[2]!, 10);\n const result = new Array(dim).fill(0) as number[];\n const entries = match[1]!;\n if (entries.trim()) {\n for (const entry of entries.split(',')) {\n const [idxStr, valStr] = entry.split(':');\n const idx = parseInt(idxStr!.trim(), 10) - 1;\n result[idx] = parseFloat(valStr!.trim());\n }\n }\n return result;\n },\n };\n\n case 'halfvec':\n case 'vector':\n default:\n return {\n ...this.getMetricOps(vectorType === 'halfvec' ? 'halfvec' : 'vector', metric),\n formatVector: v => `[${v.join(',')}]`,\n parseEmbedding: e => JSON.parse(e),\n };\n }\n }\n\n private getTableName(indexName: string) {\n const parsedIndexName = parseSqlIdentifier(indexName, 'index name');\n const quotedIndexName = `\"${parsedIndexName}\"`;\n const quotedSchemaName = this.getSchemaName();\n const quotedVectorName = `\"${parsedIndexName}_vector_idx\"`;\n return {\n tableName: quotedSchemaName ? `${quotedSchemaName}.${quotedIndexName}` : quotedIndexName,\n vectorIndexName: quotedVectorName,\n parsedIndexName,\n };\n }\n\n private getSchemaName() {\n return this.schema ? `\"${parseSqlIdentifier(this.schema, 'schema name')}\"` : undefined;\n }\n\n private async ensureNamespaceSchema(indexName: string, client: pg.PoolClient): Promise {\n const { tableName, parsedIndexName } = this.getTableName(indexName);\n // Anchor on to_regclass(tableName) so the lookup resolves the same relation as the\n // unqualified DDL does (via search_path) when no schemaName is configured.\n const vectorIdColumn = await client.query(\n `SELECT 1\n FROM pg_attribute\n WHERE attrelid = to_regclass($1)\n AND attname = 'vector_id'\n AND attnum > 0\n AND NOT attisdropped`,\n [tableName],\n );\n if (vectorIdColumn.rowCount === 0) {\n return;\n }\n\n await client.query(\n `ALTER TABLE ${tableName} ADD COLUMN IF NOT EXISTS namespace VARCHAR(255) NOT NULL DEFAULT '${DEFAULT_NAMESPACE}'`,\n );\n\n const state = await this.getNamespaceSchemaState(tableName, client);\n if (!state.composite_index) {\n const namespaceIndexName = this.getNamespaceIndexName(parsedIndexName);\n await client.query(\n `CREATE UNIQUE INDEX IF NOT EXISTS \"${namespaceIndexName}\" ON ${tableName} (namespace, vector_id)`,\n );\n }\n\n const legacyConstraints = await client.query<{ conname: string }>(\n `SELECT c.conname\n FROM pg_constraint c\n WHERE c.conrelid = to_regclass($1)\n AND c.contype = 'u'\n AND pg_get_constraintdef(c.oid) = 'UNIQUE (vector_id)'`,\n [tableName],\n );\n\n for (const { conname } of legacyConstraints.rows) {\n const parsedConstraintName = parseSqlIdentifier(conname, 'constraint name');\n await client.query(`ALTER TABLE ${tableName} DROP CONSTRAINT \"${parsedConstraintName}\"`);\n }\n }\n\n private getNamespaceIndexName(parsedIndexName: string): string {\n const fullName = `${parsedIndexName}_namespace_vector_id_idx`;\n if (fullName.length <= 63) {\n return fullName;\n }\n const hash = createHash('sha256').update(parsedIndexName).digest('hex').slice(0, 32);\n const suffix = `_ns_${hash}_idx`;\n return `${parsedIndexName.slice(0, 63 - suffix.length)}${suffix}`;\n }\n\n private async getNamespaceSchemaState(tableName: string, client: pg.PoolClient) {\n const result = await client.query<{\n vector_id: boolean;\n namespace: boolean;\n composite_index: boolean;\n legacy_constraint: boolean;\n }>(\n `SELECT\n EXISTS (SELECT 1 FROM pg_attribute WHERE attrelid = to_regclass($1)\n AND attname = 'vector_id' AND attnum > 0 AND NOT attisdropped) AS vector_id,\n EXISTS (SELECT 1 FROM pg_attribute WHERE attrelid = to_regclass($1)\n AND attname = 'namespace' AND attnum > 0 AND NOT attisdropped) AS namespace,\n EXISTS (\n SELECT 1 FROM pg_index i\n WHERE i.indrelid = to_regclass($1)\n AND i.indisunique AND i.indisvalid AND i.indisready AND i.indimmediate\n AND i.indpred IS NULL AND i.indexprs IS NULL AND i.indnkeyatts = 2\n AND (SELECT array_agg(a.attname::text ORDER BY a.attname)\n FROM unnest(i.indkey) WITH ORDINALITY AS k(attnum, position)\n JOIN pg_attribute a ON a.attrelid = i.indrelid AND a.attnum = k.attnum\n WHERE k.position <= i.indnkeyatts) = ARRAY['namespace', 'vector_id']\n ) AS composite_index,\n EXISTS (SELECT 1 FROM pg_constraint WHERE conrelid = to_regclass($1)\n AND contype = 'u' AND pg_get_constraintdef(oid) = 'UNIQUE (vector_id)') AS legacy_constraint`,\n [tableName],\n );\n return result.rows[0]!;\n }\n\n private async reconcileNamespace(indexName: string, client: pg.PoolClient): Promise {\n const { tableName } = this.getTableName(indexName);\n await client.query('BEGIN');\n try {\n // Resolve aliases (explicit schema and search_path) to the same cross-process lock.\n await client.query('SELECT pg_advisory_xact_lock((1936876916::bigint << 32) | to_regclass($1)::oid::bigint)', [\n tableName,\n ]);\n const state = await this.getNamespaceSchemaState(tableName, client);\n if (!state.vector_id) {\n await client.query('ROLLBACK');\n return false;\n }\n if (!state.namespace || !state.composite_index || state.legacy_constraint) {\n if (this.disableInit || process.env.MASTRA_DISABLE_STORAGE_INIT === 'true') {\n throw new MastraError({\n id: createVectorErrorId('PG', 'ENSURE_NAMESPACE', 'MIGRATION_REQUIRED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n text:\n `Vector index \"${indexName}\" requires namespace migration and schema changes are disabled. ` +\n `Call createIndex({ indexName: \"${indexName}\", dimension }) with init enabled, ` +\n `or apply the namespace migration SQL from the @mastra/pg changelog.`,\n details: { indexName },\n });\n }\n await this.ensureNamespaceSchema(indexName, client);\n const migrated = await this.getNamespaceSchemaState(tableName, client);\n if (!migrated.namespace || !migrated.composite_index || migrated.legacy_constraint) {\n throw new MastraError({\n id: createVectorErrorId('PG', 'ENSURE_NAMESPACE', 'MIGRATION_REQUIRED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n text: `Vector index \"${indexName}\" requires a valid unique (namespace, vector_id) index. Resolve conflicting index names and retry the namespace migration.`,\n details: { indexName },\n });\n }\n }\n await client.query('COMMIT');\n return true;\n } catch (error) {\n await client.query('ROLLBACK');\n throw error;\n }\n }\n\n /**\n * Every data path filters on `namespace`, but tables created before that column existed are\n * only migrated by `createIndex()`, which callers are not required to invoke before reading.\n * Run the migration lazily instead, once per index per process.\n */\n private ensureNamespaceReady(indexName: string): Promise {\n if (this.namespaceReadyIndexes.has(indexName)) {\n return Promise.resolve();\n }\n\n return this.memoize(this.namespaceReadyCache, indexName, () =>\n // Share the createIndex mutex so lazy migration never races its DDL on the same table.\n this.getMutexByName(`create-${indexName}`).runExclusive(async () => {\n if (this.namespaceReadyIndexes.has(indexName)) {\n return;\n }\n\n const client = await this.pool.connect();\n try {\n if (await this.reconcileNamespace(indexName, client)) {\n this.namespaceReadyIndexes.add(indexName);\n } else {\n // Missing/non-vector tables must be checked again after external provisioning.\n this.namespaceReadyCache.delete(indexName);\n }\n } finally {\n client.release();\n }\n }),\n );\n }\n\n transformFilter(filter?: PGVectorFilter) {\n const translator = new PGFilterTranslator();\n return translator.translate(filter);\n }\n\n /**\n * Cached variant of {@link describeIndex}, including the row count.\n *\n * Internal code paths do not use this - they use the catalog-only\n * {@link getIndexMetadata}, which never scans the table.\n */\n async getIndexInfo({ indexName }: DescribeIndexParams): Promise {\n return this.memoize(this.describeIndexCache, indexName, () => this.describeIndex({ indexName }));\n }\n\n /**\n * Cached index metadata read from the Postgres catalog only.\n *\n * This is what every internal caller needs: none of them read `count`, and paying for\n * `SELECT COUNT(*)` on a large index costs a full heap scan per call.\n */\n private getIndexMetadata({ indexName }: DescribeIndexParams): Promise {\n return this.memoize(this.indexMetadataCache, indexName, () => this.describeIndexMetadata({ indexName }));\n }\n\n /**\n * Stores the in-flight promise in `cache` so concurrent callers on a cold cache share one\n * round trip, and drops the entry if it rejects so a transient failure is not cached forever.\n */\n private memoize(cache: Map>, key: string, load: () => Promise): Promise {\n const cached = cache.get(key);\n if (cached) {\n return cached;\n }\n const pending = load();\n cache.set(key, pending);\n pending.catch(() => {\n if (cache.get(key) === pending) {\n cache.delete(key);\n }\n });\n return pending;\n }\n\n /** Drops every cached view of an index, e.g. after its index definition or table changed. */\n private invalidateIndexCaches(indexName: string) {\n this.describeIndexCache.delete(indexName);\n this.indexMetadataCache.delete(indexName);\n }\n\n async query({\n indexName,\n queryVector,\n topK = 10,\n filter,\n includeVector = false,\n minScore = -1,\n ef,\n probes,\n namespace = DEFAULT_NAMESPACE,\n }: PgQueryVectorParams): Promise {\n try {\n // Validate topK parameter\n validateTopK('PG', topK);\n if (queryVector !== undefined) {\n if (!Array.isArray(queryVector) || !queryVector.every(x => typeof x === 'number' && Number.isFinite(x))) {\n throw new Error('queryVector must be an array of finite numbers');\n }\n } else if (!filter || Object.keys(filter).length === 0) {\n throw new Error('Either queryVector or filter must be provided');\n }\n } catch (error) {\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'QUERY', 'INVALID_INPUT'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: {\n indexName,\n },\n },\n error,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n }\n\n // Metadata-only query: filter without vector similarity\n if (queryVector === undefined) {\n let client;\n try {\n await this.ensureNamespaceReady(indexName);\n client = await this.pool.connect();\n const translatedFilter = this.transformFilter(filter);\n const { sql: filterQuery, values: filterValues } = buildDeleteFilterQuery(translatedFilter);\n const { tableName } = this.getTableName(indexName);\n\n const filterClause = filterQuery.trim().replace(/^WHERE\\s+/i, '');\n const namespaceParam = filterValues.length + 1;\n const query = `\n SELECT\n vector_id as id,\n metadata\n ${includeVector ? ', embedding' : ''}\n FROM ${tableName}\n WHERE namespace = $${namespaceParam}\n ${filterClause ? `AND (${filterClause})` : ''}\n ORDER BY vector_id\n LIMIT $${namespaceParam + 1}`;\n const result = await client.query(query, [...filterValues, namespace, topK]);\n\n return result.rows.map(({ id, metadata, embedding }: { id: string; metadata: any; embedding?: string }) => ({\n id,\n score: 0,\n metadata,\n ...(includeVector && embedding && { vector: JSON.parse(embedding) }),\n }));\n } catch (error) {\n if (error instanceof MastraError) {\n this.logger?.trackException(error);\n throw error;\n }\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'QUERY', 'FAILED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n indexName,\n },\n },\n error,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n } finally {\n client?.release();\n }\n }\n\n let client;\n try {\n await this.ensureNamespaceReady(indexName);\n // Load metadata before holding a connection so a cold cache cannot exhaust the pool.\n const indexInfo = await this.getIndexMetadata({ indexName });\n // Vector similarity query\n client = await this.pool.connect();\n // Set search path so vector operators (e.g. <=>) resolve correctly\n await this.ensureSearchPath(client);\n await client.query('BEGIN');\n const translatedFilter = this.transformFilter(filter);\n const { sql: filterQuery, values: filterValues } = buildFilterQuery(translatedFilter, minScore, topK);\n\n const metric = indexInfo.metric ?? 'cosine';\n const ops = this.getVectorOps(indexInfo.vectorType, metric);\n\n // Format vector string based on vector type\n const vectorStr = ops.formatVector(queryVector, indexInfo.dimension);\n\n // Set HNSW search parameter if applicable\n if (indexInfo.type === 'hnsw') {\n // Calculate ef and clamp between 1 and 1000\n const calculatedEf = ef ?? Math.max(topK, (indexInfo?.config?.m ?? 16) * topK);\n const searchEf = Math.min(1000, Math.max(1, calculatedEf));\n await client.query(`SET LOCAL hnsw.ef_search = ${searchEf}`);\n await client.query(`SET LOCAL hnsw.iterative_scan = strict_order`);\n }\n\n if (indexInfo.type === 'ivfflat' && probes) {\n await client.query(`SET LOCAL ivfflat.probes = ${probes}`);\n }\n\n const { tableName } = this.getTableName(indexName);\n\n // Get the properly qualified vector type based on the index's vector type\n const qualifiedVectorType = this.getVectorTypeName(indexInfo.vectorType, indexInfo.dimension);\n\n // Build distance expression and score based on metric and vector type\n const distanceExpr = `embedding ${ops.distanceOperator} '${vectorStr}'::${qualifiedVectorType}`;\n const scoreExpr = ops.scoreExpr(distanceExpr);\n\n // Move ORDER BY and LIMIT inside the CTE for HNSW indexes without filters to enable index usage.\n // Only safe when minScore won't filter out candidates (minScore <= 0), otherwise the inner LIMIT\n // cuts off the candidate set before the score threshold is applied, potentially returning fewer rows.\n // IVFFlat is excluded because with default probes=1, it only searches one cluster and can miss\n // vectors in other clusters, returning fewer results than expected.\n const filterClause = filterQuery.trim().replace(/^WHERE\\s+/i, '');\n const hasFilter = filterClause.length > 0;\n const useIndexedOrder = indexInfo.type === 'hnsw' && !hasFilter && minScore <= 0;\n const namespaceParam = filterValues.length + 1;\n\n const query = useIndexedOrder\n ? `\n WITH vector_scores AS (\n SELECT\n vector_id as id,\n ${scoreExpr} as score,\n metadata\n ${includeVector ? ', embedding' : ''}\n FROM ${tableName}\n WHERE namespace = $${namespaceParam}\n ORDER BY ${distanceExpr}\n LIMIT $2\n )\n SELECT *\n FROM vector_scores\n WHERE score > $1\n ORDER BY score DESC`\n : `\n WITH vector_scores AS (\n SELECT\n vector_id as id,\n ${scoreExpr} as score,\n metadata\n ${includeVector ? ', embedding' : ''}\n FROM ${tableName}\n WHERE namespace = $${namespaceParam}\n ${filterClause ? `AND (${filterClause})` : ''}\n )\n SELECT *\n FROM vector_scores\n WHERE score > $1\n ORDER BY score DESC\n LIMIT $2`;\n const result = await client.query(query, [...filterValues, namespace]);\n await client.query('COMMIT');\n\n return result.rows.map(({ id, score, metadata, embedding }) => ({\n id,\n score,\n metadata,\n ...(includeVector && embedding && { vector: ops.parseEmbedding(embedding) }),\n }));\n } catch (error) {\n await client?.query('ROLLBACK');\n if (error instanceof MastraError) {\n this.logger?.trackException(error);\n throw error;\n }\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'QUERY', 'FAILED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n indexName,\n },\n },\n error,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n } finally {\n client?.release();\n }\n }\n\n async upsert({\n indexName,\n vectors,\n metadata,\n ids,\n deleteFilter,\n namespace = DEFAULT_NAMESPACE,\n }: PgUpsertVectorParams): Promise {\n // Validate input parameters\n validateUpsertInput('PG', vectors, metadata, ids);\n\n const { tableName } = this.getTableName(indexName);\n\n let client;\n try {\n const indexInfo = await this.getIndexMetadata({ indexName });\n await this.ensureNamespaceReady(indexName);\n\n // Start a transaction\n client = await this.pool.connect();\n // Set search path so vector type casts (e.g. ::vector, ::halfvec) resolve correctly\n await this.ensureSearchPath(client);\n\n await client.query('BEGIN');\n\n // Step 1: If deleteFilter is provided, delete matching vectors first\n if (deleteFilter) {\n this.logger?.debug(`Deleting vectors matching filter before upsert`, { indexName, deleteFilter });\n\n // Reuse the filter translation logic\n const translatedFilter = this.transformFilter(deleteFilter);\n const { sql: filterQuery, values: filterValues } = buildDeleteFilterQuery(translatedFilter);\n\n const whereClause = filterQuery.trim().replace(/^WHERE\\s+/i, '');\n if (whereClause) {\n const deleteQuery = `DELETE FROM ${tableName} WHERE namespace = $${filterValues.length + 1} AND (${whereClause})`;\n const result = await client.query(deleteQuery, [...filterValues, namespace]);\n this.logger?.debug(`Deleted ${result.rowCount || 0} vectors before upsert`, {\n indexName,\n deletedCount: result.rowCount || 0,\n });\n }\n }\n\n // Step 2: Insert/update new vectors\n const vectorIds = ids || vectors.map(() => crypto.randomUUID());\n\n // Get the properly qualified vector type for this index\n const qualifiedVectorType = this.getVectorTypeName(indexInfo.vectorType, indexInfo.dimension);\n const ops = this.getVectorOps(indexInfo.vectorType, indexInfo.metric ?? 'cosine');\n\n // Postgres multi-row ON CONFLICT DO UPDATE cannot affect the same row twice, so batches\n // containing duplicate ids keep the serial path (last write wins).\n const hasDuplicateIds = new Set(vectorIds).size !== vectorIds.length;\n\n if (hasDuplicateIds) {\n for (let i = 0; i < vectors.length; i++) {\n const vectorStr = ops.formatVector(vectors[i]!, indexInfo.dimension);\n const query = `\n INSERT INTO ${tableName} (vector_id, embedding, metadata, namespace)\n VALUES ($1, $2::${qualifiedVectorType}, $3::jsonb, $4)\n ON CONFLICT (namespace, vector_id)\n DO UPDATE SET\n embedding = $2::${qualifiedVectorType},\n metadata = $3::jsonb\n `;\n\n await client.query(query, [vectorIds[i], vectorStr, JSON.stringify(metadata?.[i] || {}), namespace]);\n }\n } else {\n for (let start = 0; start < vectors.length; start += MAX_UPSERT_ROWS_PER_STATEMENT) {\n const end = Math.min(start + MAX_UPSERT_ROWS_PER_STATEMENT, vectors.length);\n const rows: string[] = [];\n const values: any[] = [];\n\n for (let i = start; i < end; i++) {\n const base = values.length;\n rows.push(`($${base + 1}, $${base + 2}::${qualifiedVectorType}, $${base + 3}::jsonb, $${base + 4})`);\n values.push(\n vectorIds[i],\n ops.formatVector(vectors[i]!, indexInfo.dimension),\n JSON.stringify(metadata?.[i] || {}),\n namespace,\n );\n }\n\n const query = `\n INSERT INTO ${tableName} (vector_id, embedding, metadata, namespace)\n VALUES ${rows.join(', ')}\n ON CONFLICT (namespace, vector_id)\n DO UPDATE SET\n embedding = EXCLUDED.embedding,\n metadata = EXCLUDED.metadata\n `;\n\n await client.query(query, values);\n }\n }\n\n await client.query('COMMIT');\n\n this.logger?.debug(`Upserted ${vectors.length} vectors to ${indexName}`, {\n indexName,\n vectorCount: vectors.length,\n hadDeleteFilter: !!deleteFilter,\n });\n\n return vectorIds;\n } catch (error) {\n await client?.query('ROLLBACK');\n if (error instanceof MastraError) {\n this.logger?.trackException(error);\n throw error;\n }\n if (error instanceof Error && error.message?.includes('expected') && error.message?.includes('dimensions')) {\n const match = error.message.match(/expected (\\d+) dimensions, not (\\d+)/);\n if (match) {\n const [, expected, actual] = match;\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'UPSERT', 'INVALID_INPUT'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n text:\n `Vector dimension mismatch: Index \"${indexName}\" expects ${expected} dimensions but got ${actual} dimensions. ` +\n `Either use a matching embedding model or delete and recreate the index with the new dimension.`,\n details: {\n indexName,\n expected: expected ?? '',\n actual: actual ?? '',\n },\n },\n error,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n }\n }\n\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'UPSERT', 'FAILED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n indexName,\n },\n },\n error,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n } finally {\n client?.release();\n }\n }\n\n private hasher = xxhash();\n private async getIndexCacheKey({\n indexName,\n dimension,\n metric,\n type,\n vectorType = 'vector',\n metadataIndexes,\n }: Omit & {\n metric?: PgMetric;\n type: IndexType | undefined;\n vectorType?: VectorType;\n metadataIndexes?: string[];\n }) {\n const input = JSON.stringify([\n indexName,\n dimension,\n metric,\n type || 'ivfflat',\n vectorType,\n metadataIndexes?.toSorted() ?? [],\n ]);\n return (await this.hasher).h32(input);\n }\n private cachedIndexExists(indexName: string, newKey: number) {\n const existingIndexCacheKey = this.createdIndexes.get(indexName);\n return existingIndexCacheKey && existingIndexCacheKey === newKey;\n }\n private async setupSchema(client: pg.PoolClient) {\n if (!this.schema || this.schemaSetupComplete) {\n return;\n }\n\n if (!this.setupSchemaPromise) {\n this.setupSchemaPromise = (async () => {\n try {\n // First check if schema exists and we have usage permission\n const schemaCheck = await client.query(\n `\n SELECT EXISTS (\n SELECT 1 FROM information_schema.schemata\n WHERE schema_name = $1\n )\n `,\n [this.schema],\n );\n\n const schemaExists = schemaCheck.rows[0].exists;\n\n if (!schemaExists) {\n try {\n await client.query(`CREATE SCHEMA IF NOT EXISTS ${this.getSchemaName()}`);\n this.logger.info(`Schema \"${this.schema}\" created successfully`);\n } catch (error) {\n this.logger.error(`Failed to create schema \"${this.schema}\"`, { error });\n throw new Error(\n `Unable to create schema \"${this.schema}\". This requires CREATE privilege on the database. ` +\n `Either create the schema manually or grant CREATE privilege to the user.`,\n );\n }\n }\n\n // If we got here, schema exists and we can use it\n this.schemaSetupComplete = true;\n this.logger.debug(`Schema \"${this.schema}\" is ready for use`);\n } catch (error) {\n // Reset flags so we can retry\n this.schemaSetupComplete = undefined;\n this.setupSchemaPromise = null;\n throw error;\n } finally {\n this.setupSchemaPromise = null;\n }\n })();\n }\n\n await this.setupSchemaPromise;\n }\n\n async createIndex({\n indexName,\n dimension,\n metric: rawMetric = 'cosine',\n indexConfig = {},\n buildIndex = true,\n vectorType = 'vector',\n metadataIndexes,\n }: PgCreateIndexParams): Promise {\n // Normalize metric for bit vectors: default to 'hamming' unless explicitly 'hamming' or 'jaccard'\n const metric: PgMetric =\n vectorType === 'bit' && rawMetric !== 'hamming' && rawMetric !== 'jaccard' ? 'hamming' : rawMetric;\n\n const { tableName } = this.getTableName(indexName);\n\n // Validate inputs\n try {\n if (!indexName.match(/^[a-zA-Z_][a-zA-Z0-9_]*$/)) {\n throw new Error('Invalid index name format');\n }\n if (!Number.isInteger(dimension) || dimension <= 0) {\n throw new Error('Dimension must be a positive integer');\n }\n if (vectorType !== 'vector' && vectorType !== 'halfvec' && vectorType !== 'bit' && vectorType !== 'sparsevec') {\n throw new Error('vectorType must be \"vector\", \"halfvec\", \"bit\", or \"sparsevec\"');\n }\n // Dimension limits for indexed vectors (pgvector restrictions)\n if (vectorType === 'bit' && dimension > 64000) {\n throw new Error('bit vectors support up to 64,000 dimensions for indexes');\n }\n\n // hamming and jaccard metrics are only valid with bit vectors\n if ((metric === 'hamming' || metric === 'jaccard') && vectorType !== 'bit') {\n throw new Error(`${metric} metric is only valid with vectorType 'bit'`);\n }\n // IVFFlat does not support Jaccard distance for bit vectors\n if (indexConfig?.type === 'ivfflat' && vectorType === 'bit' && metric === 'jaccard') {\n throw new Error('IVFFlat indexes do not support Jaccard distance for bit vectors. Use HNSW instead.');\n }\n } catch (error) {\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'CREATE_INDEX', 'INVALID_INPUT'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: {\n indexName,\n },\n },\n error,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n }\n\n // Skip all DDL when init is disabled - caller manages schema/extension/tables/indexes externally\n if (this.disableInit || process.env.MASTRA_DISABLE_STORAGE_INIT === 'true') {\n return;\n }\n\n const indexCacheKey = await this.getIndexCacheKey({\n indexName,\n dimension,\n type: indexConfig.type,\n metric,\n vectorType,\n metadataIndexes,\n });\n if (this.cachedIndexExists(indexName, indexCacheKey) && this.namespaceReadyIndexes.has(indexName)) {\n // we already saw this index get created and reconciled since the process started\n return;\n }\n\n const mutex = this.getMutexByName(`create-${indexName}`);\n // Use async-mutex instead of advisory lock for perf (over 2x as fast)\n await mutex\n .runExclusive(async () => {\n if (this.cachedIndexExists(indexName, indexCacheKey) && this.namespaceReadyIndexes.has(indexName)) {\n // this may have been created and reconciled while we were waiting to acquire a lock\n return;\n }\n\n const client = await this.pool.connect();\n\n try {\n // Setup schema if needed\n await this.setupSchema(client);\n\n // Install vector extension and detect where it is\n await this.installVectorExtension(client);\n\n // Check if halfvec is supported when requested\n if (vectorType === 'halfvec' && !this.supportsHalfvec()) {\n throw new MastraError({\n id: createVectorErrorId('PG', 'CREATE_INDEX', 'HALFVEC_NOT_SUPPORTED'),\n text:\n `halfvec type requires pgvector >= 0.7.0, but version ${this.vectorExtensionVersion || 'unknown'} is installed. ` +\n `Either upgrade pgvector or use vectorType: 'vector' (which supports up to 2000 dimensions for indexes).`,\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: {\n indexName,\n requestedVectorType: vectorType,\n pgvectorVersion: this.vectorExtensionVersion || 'unknown',\n requiredVersion: '0.7.0',\n },\n });\n }\n\n // Check if bit/sparsevec is supported when requested\n if (vectorType === 'bit' && !this.supportsBit()) {\n throw new MastraError({\n id: createVectorErrorId('PG', 'CREATE_INDEX', 'VECTOR_TYPE_NOT_SUPPORTED'),\n text:\n `${vectorType} type requires pgvector >= 0.7.0, but version ${this.vectorExtensionVersion || 'unknown'} is installed. ` +\n `Either upgrade pgvector or use vectorType: 'vector'.`,\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: {\n indexName,\n vectorType,\n installedVersion: this.vectorExtensionVersion,\n },\n });\n }\n\n if (vectorType === 'sparsevec' && !this.supportsSparsevec()) {\n throw new MastraError({\n id: createVectorErrorId('PG', 'CREATE_INDEX', 'VECTOR_TYPE_NOT_SUPPORTED'),\n text:\n `${vectorType} type requires pgvector >= 0.7.0, but version ${this.vectorExtensionVersion || 'unknown'} is installed. ` +\n `Either upgrade pgvector or use vectorType: 'vector'.`,\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: {\n indexName,\n requestedVectorType: vectorType,\n pgvectorVersion: this.vectorExtensionVersion || 'unknown',\n requiredVersion: '0.7.0',\n },\n });\n }\n\n // Use the properly qualified vector type (vector or halfvec)\n const qualifiedVectorType = this.getVectorTypeName(vectorType);\n\n await client.query(`\n CREATE TABLE IF NOT EXISTS ${tableName} (\n id SERIAL PRIMARY KEY,\n vector_id TEXT NOT NULL,\n embedding ${qualifiedVectorType}(${dimension}),\n metadata JSONB DEFAULT '{}'::jsonb,\n namespace VARCHAR(255) NOT NULL DEFAULT '${DEFAULT_NAMESPACE}'\n );\n `);\n if (await this.reconcileNamespace(indexName, client)) {\n this.namespaceReadyIndexes.add(indexName);\n }\n this.createdIndexes.set(indexName, indexCacheKey);\n this.indexVectorTypes.set(indexName, vectorType);\n\n if (buildIndex) {\n await this.setupIndex({ indexName, metric, indexConfig, vectorType }, client);\n }\n\n if (metadataIndexes?.length) {\n await this.createMetadataIndexes(tableName, indexName, metadataIndexes);\n }\n } catch (error: any) {\n this.createdIndexes.delete(indexName);\n this.namespaceReadyIndexes.delete(indexName);\n this.namespaceReadyCache.delete(indexName);\n this.indexVectorTypes.delete(indexName);\n throw error;\n } finally {\n client.release();\n }\n })\n .catch(error => {\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'CREATE_INDEX', 'FAILED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n indexName,\n },\n },\n error,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n });\n }\n\n async buildIndex({ indexName, metric = 'cosine', indexConfig, vectorType }: PgDefineIndexParams): Promise {\n const client = await this.pool.connect();\n try {\n await this.setupIndex({ indexName, metric, indexConfig, vectorType }, client);\n } catch (error: any) {\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'BUILD_INDEX', 'FAILED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n indexName,\n },\n },\n error,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n } finally {\n client.release();\n }\n }\n\n private async setupIndex(\n { indexName, metric, indexConfig, vectorType = 'vector' }: PgDefineIndexParams,\n client: pg.PoolClient,\n ) {\n const mutex = this.getMutexByName(`build-${indexName}`);\n // Use async-mutex instead of advisory lock for perf (over 2x as fast)\n await mutex.runExclusive(async () => {\n // Check if the index config is empty\n const isConfigEmpty =\n !indexConfig ||\n Object.keys(indexConfig).length === 0 ||\n (!indexConfig.type && !indexConfig.ivf && !indexConfig.hnsw);\n // Determine index type - use defaults if no config provided\n // sparsevec does not support IVFFlat, so default to HNSW for it\n const defaultIndexType = vectorType === 'sparsevec' ? 'hnsw' : 'ivfflat';\n const indexType = isConfigEmpty ? defaultIndexType : indexConfig.type || defaultIndexType;\n\n // Validate index type restrictions for sparsevec\n if (indexType === 'ivfflat' && vectorType === 'sparsevec') {\n throw new MastraError({\n id: createVectorErrorId('PG', 'BUILD_INDEX', 'UNSUPPORTED_INDEX_TYPE'),\n text: `IVFFlat indexes do not support sparsevec type. Use HNSW instead.`,\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: { indexName, vectorType, indexType },\n });\n }\n\n // Validate index type restrictions for bit + jaccard\n // IVFFlat supports bit vectors with Hamming distance only, not Jaccard\n if (indexType === 'ivfflat' && vectorType === 'bit' && metric === 'jaccard') {\n throw new MastraError({\n id: createVectorErrorId('PG', 'BUILD_INDEX', 'UNSUPPORTED_INDEX_TYPE'),\n text: `IVFFlat indexes do not support Jaccard distance for bit vectors. Use HNSW instead.`,\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: { indexName, vectorType, indexType, metric },\n });\n }\n\n const { tableName, vectorIndexName } = this.getTableName(indexName);\n\n // Try to get existing index info to check if configuration has changed\n let existingIndexInfo: PGIndexMetadata | null = null;\n let dimension = 0;\n try {\n existingIndexInfo = await this.describeIndexMetadata({ indexName }, client);\n dimension = existingIndexInfo.dimension;\n\n if (isConfigEmpty && existingIndexInfo.metric === metric) {\n if (existingIndexInfo.type === 'flat') {\n // No index exists - create the default ivfflat\n this.logger?.debug(`No index exists for ${vectorIndexName}, will create default ivfflat index`);\n } else {\n // Preserve existing non-flat index\n this.logger?.debug(\n `Index ${vectorIndexName} already exists (type: ${existingIndexInfo.type}, metric: ${existingIndexInfo.metric}), preserving existing configuration`,\n );\n const cacheKey = await this.getIndexCacheKey({\n indexName,\n dimension,\n type: existingIndexInfo.type,\n metric: existingIndexInfo.metric,\n vectorType: existingIndexInfo.vectorType,\n });\n this.createdIndexes.set(indexName, cacheKey);\n this.indexVectorTypes.set(indexName, existingIndexInfo.vectorType);\n return;\n }\n }\n\n // If config was empty but metric didn't match, OR config was provided, check for changes\n let configMatches = existingIndexInfo.metric === metric && existingIndexInfo.type === indexType;\n if (indexType === 'hnsw') {\n configMatches =\n configMatches &&\n existingIndexInfo.config.m === (indexConfig.hnsw?.m ?? 8) &&\n existingIndexInfo.config.efConstruction === (indexConfig.hnsw?.efConstruction ?? 32);\n } else if (indexType === 'flat') {\n configMatches = configMatches && existingIndexInfo.type === 'flat';\n } else if (indexType === 'ivfflat' && indexConfig.ivf?.lists) {\n configMatches = configMatches && existingIndexInfo.config.lists === indexConfig.ivf?.lists;\n }\n\n if (configMatches) {\n this.logger?.debug(`Index ${vectorIndexName} already exists with same configuration, skipping recreation`);\n // Update cache with the existing configuration\n const cacheKey = await this.getIndexCacheKey({\n indexName,\n dimension,\n type: existingIndexInfo.type,\n metric: existingIndexInfo.metric,\n vectorType: existingIndexInfo.vectorType,\n });\n this.createdIndexes.set(indexName, cacheKey);\n this.indexVectorTypes.set(indexName, existingIndexInfo.vectorType);\n return;\n }\n\n // Configuration changed, need to rebuild\n this.logger?.info(`Index ${vectorIndexName} configuration changed, rebuilding index`);\n await client.query(`DROP INDEX IF EXISTS ${vectorIndexName}`);\n this.invalidateIndexCaches(indexName);\n } catch {\n this.logger?.debug(`Index ${indexName} doesn't exist yet, will create it`);\n }\n\n if (indexType === 'flat') {\n this.invalidateIndexCaches(indexName);\n return;\n }\n\n // Set search path so vector operator classes (e.g. vector_cosine_ops) resolve correctly\n await this.ensureSearchPath(client);\n\n // Get the operator class based on vector type and metric\n // pgvector uses different operator classes for vector vs halfvec\n // Use the detected vectorType from existing table if available, otherwise use the parameter\n const effectiveVectorType = existingIndexInfo?.vectorType ?? vectorType;\n const metricOp = this.getVectorOps(effectiveVectorType, metric).operatorClass;\n\n let indexSQL: string;\n if (indexType === 'hnsw') {\n const m = indexConfig.hnsw?.m ?? 8;\n const efConstruction = indexConfig.hnsw?.efConstruction ?? 32;\n\n indexSQL = `\n CREATE INDEX IF NOT EXISTS ${vectorIndexName}\n ON ${tableName}\n USING hnsw (embedding ${metricOp})\n WITH (\n m = ${m},\n ef_construction = ${efConstruction}\n )\n `;\n } else {\n let lists: number;\n if (indexConfig.ivf?.lists) {\n lists = indexConfig.ivf.lists;\n } else {\n const size = (await client.query(`SELECT COUNT(*) FROM ${tableName}`)).rows[0].count;\n lists = Math.max(100, Math.min(4000, Math.floor(Math.sqrt(size) * 2)));\n }\n indexSQL = `\n CREATE INDEX IF NOT EXISTS ${vectorIndexName}\n ON ${tableName}\n USING ivfflat (embedding ${metricOp})\n WITH (lists = ${lists});\n `;\n }\n\n await client.query(indexSQL);\n });\n }\n\n private async createMetadataIndexes(tableName: string, indexName: string, metadataFields: string[]) {\n const hasher = await this.hasher;\n for (const field of metadataFields) {\n // Hash the field to produce a safe, fixed-length suffix for the index name.\n // This avoids issues with fields containing characters invalid in SQL identifiers\n // (e.g. \"user-id\") and keeps the total index name under PostgreSQL's 63-char limit.\n const fieldHash = hasher.h32(field).toString(16);\n const prefix = indexName.slice(0, 63 - '_md__idx'.length - fieldHash.length);\n const metadataIdxName = `\"${prefix}_md_${fieldHash}_idx\"`;\n // DDL statements don't support bind parameters, so we must interpolate\n // the field name as a literal. Escape single quotes to prevent SQL injection.\n const escapedField = field.replace(/'/g, \"''\");\n // Use CONCURRENTLY to avoid blocking writers on large existing tables.\n // This must run outside a transaction, so we use pool.query() directly.\n await this.pool.query(\n `\n CREATE INDEX CONCURRENTLY IF NOT EXISTS ${metadataIdxName}\n ON ${tableName} ((metadata->>'${escapedField}'))\n `,\n );\n }\n }\n\n private async installVectorExtension(client: pg.PoolClient) {\n // If we've already successfully installed, no need to do anything\n if (this.vectorExtensionInstalled) {\n return;\n }\n\n // If there's no existing installation attempt or the previous one failed\n if (!this.installVectorExtensionPromise) {\n this.installVectorExtensionPromise = (async () => {\n try {\n // First, detect if and where the extension is already installed\n const existingSchema = await this.detectVectorExtensionSchema(client);\n\n if (existingSchema) {\n this.vectorExtensionInstalled = true;\n this.vectorExtensionSchema = existingSchema;\n this.logger.info(`Vector extension already installed in schema: ${existingSchema}`);\n return;\n }\n\n // Try to install the extension\n try {\n // First try to install in the custom schema if provided\n if (this.schema && this.schema !== 'public') {\n try {\n await client.query(`CREATE EXTENSION IF NOT EXISTS vector SCHEMA ${this.getSchemaName()}`);\n // Re-detect to get the version info (needed for halfvec support check)\n const installedSchema = await this.detectVectorExtensionSchema(client);\n if (installedSchema) {\n this.vectorExtensionInstalled = true;\n this.logger.info(`Vector extension installed in schema: ${installedSchema}`);\n return;\n }\n // Fallback if detection failed but install succeeded\n this.vectorExtensionInstalled = true;\n this.vectorExtensionSchema = this.schema;\n this.logger.info(`Vector extension installed in schema: ${this.schema}`);\n return;\n } catch (schemaError) {\n this.logger.debug(`Could not install vector extension in schema ${this.schema}, trying public schema`, {\n error: schemaError,\n });\n }\n }\n\n // Fall back to installing in public schema (or default)\n await client.query('CREATE EXTENSION IF NOT EXISTS vector');\n\n // Detect where it was actually installed\n const installedSchema = await this.detectVectorExtensionSchema(client);\n if (installedSchema) {\n this.vectorExtensionInstalled = true;\n this.vectorExtensionSchema = installedSchema;\n this.logger.info(`Vector extension installed in schema: ${installedSchema}`);\n }\n } catch (error) {\n this.logger.warn(\n 'Could not install vector extension. This requires superuser privileges. ' +\n 'If the extension is already installed, you can ignore this warning.',\n { error },\n );\n\n // Even if installation failed, check if it exists somewhere\n const existingSchema = await this.detectVectorExtensionSchema(client);\n if (existingSchema) {\n this.vectorExtensionInstalled = true;\n this.vectorExtensionSchema = existingSchema;\n this.logger.info(`Vector extension found in schema: ${existingSchema}`);\n }\n }\n } catch (error) {\n this.logger.error('Error setting up vector extension', { error });\n this.vectorExtensionInstalled = undefined;\n this.installVectorExtensionPromise = null;\n throw error;\n } finally {\n this.installVectorExtensionPromise = null;\n }\n })();\n }\n\n await this.installVectorExtensionPromise;\n }\n\n async listIndexes(): Promise {\n const client = await this.pool.connect();\n try {\n // Query for tables that match the exact Mastra PgVector table structure:\n // Must have: vector_id (TEXT), embedding (vector or halfvec), metadata (JSONB)\n // Without an explicit schemaName, look in every schema on the effective search_path\n // (current_schemas), which is where unqualified CREATE TABLE places tables.\n const mastraTablesQuery = `\n SELECT DISTINCT t.table_name\n FROM information_schema.tables t\n WHERE t.table_schema = ANY(\n CASE WHEN $1::text IS NULL THEN current_schemas(false) ELSE ARRAY[$1::text] END\n )\n AND EXISTS (\n SELECT 1\n FROM information_schema.columns c\n WHERE c.table_schema = t.table_schema\n AND c.table_name = t.table_name\n AND c.column_name = 'vector_id'\n AND c.data_type = 'text'\n )\n AND EXISTS (\n SELECT 1\n FROM information_schema.columns c\n WHERE c.table_schema = t.table_schema\n AND c.table_name = t.table_name\n AND c.column_name = 'embedding'\n AND c.udt_name IN ('vector', 'halfvec', 'bit', 'sparsevec')\n )\n AND EXISTS (\n SELECT 1\n FROM information_schema.columns c\n WHERE c.table_schema = t.table_schema\n AND c.table_name = t.table_name\n AND c.column_name = 'metadata'\n AND c.data_type = 'jsonb'\n );\n `;\n const mastraTables = await client.query(mastraTablesQuery, [this.schema ?? null]);\n return mastraTables.rows.map(row => row.table_name);\n } catch (e) {\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'LIST_INDEXES', 'FAILED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.THIRD_PARTY,\n },\n e,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n } finally {\n client.release();\n }\n }\n\n /**\n * Retrieves statistics about a vector index.\n *\n * @param {string} indexName - The name of the index to describe\n * @returns A promise that resolves to the index statistics including dimension, count and metric\n */\n async describeIndex({ indexName }: DescribeIndexParams): Promise {\n const metadata = await this.describeIndexMetadata({ indexName });\n const count = await this.countIndexRows({ indexName });\n return { ...metadata, count };\n }\n\n /**\n * Reads the index metadata that lives in the Postgres catalog. Unlike\n * {@link describeIndex} it issues no `COUNT(*)`, so its cost does not grow with the\n * number of rows in the table.\n */\n private async describeIndexMetadata(\n { indexName }: DescribeIndexParams,\n existingClient?: pg.PoolClient,\n ): Promise {\n const client = existingClient ?? (await this.pool.connect());\n try {\n const { tableName, parsedIndexName } = this.getTableName(indexName);\n\n // Check if table exists with a vector-type embedding column. Resolving through\n // to_regclass(tableName) mirrors how the unqualified DDL resolves via search_path\n // when no schemaName is configured (e.g. \"$user\" schemas).\n const tableExistsQuery = `\n SELECT t.typname AS udt_name\n FROM pg_attribute a\n JOIN pg_type t ON t.oid = a.atttypid\n WHERE a.attrelid = to_regclass($1)\n AND a.attname = 'embedding'\n AND a.attnum > 0\n AND NOT a.attisdropped\n AND t.typname IN ('vector', 'halfvec', 'bit', 'sparsevec')\n LIMIT 1;\n `;\n const tableExists = await client.query(tableExistsQuery, [tableName]);\n\n if (tableExists.rows.length === 0) {\n throw new Error(`Vector table ${tableName} does not exist`);\n }\n\n // Determine the vector type from the column\n const udtName = tableExists.rows[0].udt_name;\n const vectorType: VectorType =\n udtName === 'halfvec'\n ? 'halfvec'\n : udtName === 'bit'\n ? 'bit'\n : udtName === 'sparsevec'\n ? 'sparsevec'\n : 'vector';\n\n // Get vector dimension\n const dimensionQuery = `\n SELECT atttypmod as dimension\n FROM pg_attribute\n WHERE attrelid = $1::regclass\n AND attname = 'embedding';\n `;\n\n // Get index metric type\n const indexQuery = `\n SELECT\n am.amname as index_method,\n pg_get_indexdef(i.indexrelid) as index_def,\n opclass.opcname as operator_class\n FROM pg_index i\n JOIN pg_class c ON i.indexrelid = c.oid\n JOIN pg_am am ON c.relam = am.oid\n JOIN pg_opclass opclass ON i.indclass[0] = opclass.oid\n WHERE c.relname = $1\n AND i.indrelid = to_regclass($2);\n `;\n\n const dimResult = await client.query(dimensionQuery, [tableName]);\n const indexResult = await client.query(indexQuery, [`${parsedIndexName}_vector_idx`, tableName]);\n\n const { index_method, index_def, operator_class } = indexResult.rows[0] || {\n index_method: 'flat',\n index_def: '',\n operator_class: 'cosine',\n };\n\n // Convert pg_vector operator class to our metric type\n const metric: PgMetric = operator_class.includes('hamming')\n ? 'hamming'\n : operator_class.includes('jaccard')\n ? 'jaccard'\n : operator_class.includes('l2')\n ? 'euclidean'\n : operator_class.includes('ip')\n ? 'dotproduct'\n : 'cosine';\n\n // Parse index configuration\n const config: { m?: number; efConstruction?: number; lists?: number } = {};\n\n if (index_method === 'hnsw') {\n const m = index_def.match(/m\\s*=\\s*'?(\\d+)'?/)?.[1];\n const efConstruction = index_def.match(/ef_construction\\s*=\\s*'?(\\d+)'?/)?.[1];\n if (m) config.m = parseInt(m);\n if (efConstruction) config.efConstruction = parseInt(efConstruction);\n } else if (index_method === 'ivfflat') {\n const lists = index_def.match(/lists\\s*=\\s*'?(\\d+)'?/)?.[1];\n if (lists) config.lists = parseInt(lists);\n }\n\n return {\n dimension: dimResult.rows[0].dimension,\n metric: metric as PGIndexStats['metric'],\n type: index_method as 'flat' | 'hnsw' | 'ivfflat',\n vectorType,\n config,\n };\n } catch (e: any) {\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'DESCRIBE_INDEX', 'FAILED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n indexName,\n },\n },\n e,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n } finally {\n if (!existingClient) client.release();\n }\n }\n\n /**\n * Exact row count for an index. This is a full scan of the table, so it is only issued\n * for the public {@link describeIndex}, never from an internal code path.\n */\n private async countIndexRows({ indexName }: DescribeIndexParams): Promise {\n const client = await this.pool.connect();\n try {\n const { tableName } = this.getTableName(indexName);\n const countResult = await client.query(`\n SELECT COUNT(*) as count\n FROM ${tableName};\n `);\n return parseInt(countResult.rows[0].count);\n } catch (e: any) {\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'DESCRIBE_INDEX', 'FAILED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n indexName,\n },\n },\n e,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n } finally {\n client.release();\n }\n }\n\n async deleteIndex({ indexName }: DeleteIndexParams): Promise {\n await this.getMutexByName(`create-${indexName}`).runExclusive(async () => {\n const client = await this.pool.connect();\n try {\n const { tableName } = this.getTableName(indexName);\n // Drop the table\n await client.query(`DROP TABLE IF EXISTS ${tableName} CASCADE`);\n this.createdIndexes.delete(indexName);\n this.namespaceReadyIndexes.delete(indexName);\n this.namespaceReadyCache.delete(indexName);\n this.indexVectorTypes.delete(indexName);\n this.invalidateIndexCaches(indexName);\n } catch (error: any) {\n await client.query('ROLLBACK');\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'DELETE_INDEX', 'FAILED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n indexName,\n },\n },\n error,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n } finally {\n client.release();\n }\n });\n }\n\n async truncateIndex({ indexName }: DeleteIndexParams): Promise {\n const client = await this.pool.connect();\n try {\n const { tableName } = this.getTableName(indexName);\n await client.query(`TRUNCATE ${tableName}`);\n } catch (e: any) {\n await client.query('ROLLBACK');\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'TRUNCATE_INDEX', 'FAILED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n indexName,\n },\n },\n e,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n } finally {\n client.release();\n }\n }\n\n async disconnect() {\n // Wait for cache warmup to complete before closing pool\n // This prevents \"Cannot use a pool after calling end on the pool\" errors\n if (this.cacheWarmupPromise) {\n try {\n await this.cacheWarmupPromise;\n } catch {\n // Ignore errors - we're shutting down anyway\n }\n }\n\n await this.pool.end();\n }\n\n /**\n * Updates a vector by its ID with the provided vector and/or metadata.\n * @param indexName - The name of the index containing the vector.\n * @param id - The ID of the vector to update.\n * @param update - An object containing the vector and/or metadata to update.\n * @param update.vector - An optional array of numbers representing the new vector.\n * @param update.metadata - An optional record containing the new metadata.\n * @returns A promise that resolves when the update is complete.\n * @throws Will throw an error if no updates are provided or if the update operation fails.\n */\n async updateVector({\n indexName,\n id,\n filter,\n update,\n namespace = DEFAULT_NAMESPACE,\n }: PgUpdateVectorParams): Promise {\n let client;\n try {\n if (!update.vector && !update.metadata) {\n throw new Error('No updates provided');\n }\n\n // Validate that exactly one of id or filter is provided\n if (!id && !filter) {\n throw new MastraError({\n id: createVectorErrorId('PG', 'UPDATE_VECTOR', 'NO_TARGET'),\n text: 'Either id or filter must be provided',\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: { indexName },\n });\n }\n\n if (id && filter) {\n throw new MastraError({\n id: createVectorErrorId('PG', 'UPDATE_VECTOR', 'MUTUALLY_EXCLUSIVE'),\n text: 'Cannot provide both id and filter - they are mutually exclusive',\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: { indexName },\n });\n }\n\n const indexInfo = await this.getIndexMetadata({ indexName });\n await this.ensureNamespaceReady(indexName);\n client = await this.pool.connect();\n // Set search path so vector type casts (e.g. ::vector, ::halfvec) resolve correctly\n await this.ensureSearchPath(client);\n\n const { tableName } = this.getTableName(indexName);\n\n // Get the properly qualified vector type for this index\n const qualifiedVectorType = this.getVectorTypeName(indexInfo.vectorType, indexInfo.dimension);\n const ops = this.getVectorOps(indexInfo.vectorType, indexInfo.metric ?? 'cosine');\n\n let updateParts = [];\n let values: any[] = [];\n let valueIndex = 1;\n\n // Build SET clause\n if (update.vector) {\n updateParts.push(`embedding = $${valueIndex}::${qualifiedVectorType}`);\n values.push(ops.formatVector(update.vector, indexInfo.dimension));\n valueIndex++;\n }\n\n if (update.metadata) {\n updateParts.push(`metadata = $${valueIndex}::jsonb`);\n values.push(JSON.stringify(update.metadata));\n valueIndex++;\n }\n\n if (updateParts.length === 0) {\n return;\n }\n\n let whereClause: string;\n let whereValues: any[];\n const namespaceIndex = valueIndex;\n values.push(namespace);\n valueIndex++;\n\n if (id) {\n // Update by ID\n whereClause = `namespace = $${namespaceIndex} AND vector_id = $${valueIndex}`;\n whereValues = [id];\n } else {\n // Update by filter\n if (!filter || Object.keys(filter).length === 0) {\n throw new MastraError({\n id: createVectorErrorId('PG', 'UPDATE_VECTOR', 'EMPTY_FILTER'),\n text: 'Cannot update with empty filter',\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: { indexName },\n });\n }\n\n const translatedFilter = this.transformFilter(filter);\n const { sql: filterQuery, values: filterValues } = buildDeleteFilterQuery(translatedFilter);\n\n // Extract WHERE clause (remove \"WHERE\" prefix if present)\n whereClause = filterQuery.trim().replace(/^WHERE\\s+/i, '');\n\n if (!whereClause) {\n throw new MastraError({\n id: createVectorErrorId('PG', 'UPDATE_VECTOR', 'INVALID_FILTER'),\n text: 'Filter produced empty WHERE clause',\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: { indexName, filter: JSON.stringify(filter) },\n });\n }\n\n // Adjust parameter indices for filter values\n whereClause = whereClause.replace(/\\$(\\d+)/g, (match, num) => {\n const newIndex = parseInt(num) + valueIndex - 1;\n return `$${newIndex}`;\n });\n whereClause = `namespace = $${namespaceIndex} AND (${whereClause})`;\n whereValues = filterValues;\n }\n\n const query = `\n UPDATE ${tableName}\n SET ${updateParts.join(', ')}\n WHERE ${whereClause}\n `;\n\n const result = await client.query(query, [...values, ...whereValues]);\n\n this.logger?.info(`Updated ${result.rowCount || 0} vectors in ${indexName}`, {\n indexName,\n id: id ? id : undefined,\n filter: filter ? filter : undefined,\n updatedCount: result.rowCount || 0,\n });\n } catch (error: any) {\n if (error instanceof MastraError) {\n throw error;\n }\n\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'UPDATE_VECTOR', 'FAILED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n indexName,\n ...(id && { id }),\n ...(filter && { filter: JSON.stringify(filter) }),\n },\n },\n error,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n } finally {\n client?.release();\n }\n }\n\n /**\n * Deletes a vector by its ID.\n * @param indexName - The name of the index containing the vector.\n * @param id - The ID of the vector to delete.\n * @returns A promise that resolves when the deletion is complete.\n * @throws Will throw an error if the deletion operation fails.\n */\n async deleteVector({ indexName, id, namespace = DEFAULT_NAMESPACE }: PgDeleteVectorParams): Promise {\n let client;\n try {\n await this.ensureNamespaceReady(indexName);\n client = await this.pool.connect();\n const { tableName } = this.getTableName(indexName);\n const query = `\n DELETE FROM ${tableName}\n WHERE vector_id = $1 AND namespace = $2\n `;\n await client.query(query, [id, namespace]);\n } catch (error: any) {\n if (error instanceof MastraError) {\n throw error;\n }\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'DELETE_VECTOR', 'FAILED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n indexName,\n id,\n },\n },\n error,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n } finally {\n client?.release();\n }\n }\n\n /**\n * Delete vectors matching a metadata filter.\n * @param indexName - The name of the index containing the vectors.\n * @param filter - The filter to match vectors for deletion.\n * @returns A promise that resolves when the deletion is complete.\n * @throws Will throw an error if the deletion operation fails.\n */\n async deleteVectors({ indexName, filter, ids, namespace }: PgDeleteVectorsParams): Promise {\n let client;\n const effectiveNamespace = namespace ?? DEFAULT_NAMESPACE;\n try {\n await this.ensureNamespaceReady(indexName);\n client = await this.pool.connect();\n const { tableName } = this.getTableName(indexName);\n\n // Validate that exactly one of filter or ids is provided\n if (!filter && !ids && namespace === undefined) {\n throw new MastraError({\n id: createVectorErrorId('PG', 'DELETE_VECTORS', 'NO_TARGET'),\n text: 'Either filter or ids must be provided, unless an explicit namespace is used',\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: { indexName },\n });\n }\n\n if (filter && ids) {\n throw new MastraError({\n id: createVectorErrorId('PG', 'DELETE_VECTORS', 'MUTUALLY_EXCLUSIVE'),\n text: 'Cannot provide both filter and ids - they are mutually exclusive',\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: { indexName },\n });\n }\n\n let query: string;\n let values: any[];\n\n if (ids) {\n // Delete by IDs\n if (ids.length === 0) {\n throw new MastraError({\n id: createVectorErrorId('PG', 'DELETE_VECTORS', 'EMPTY_IDS'),\n text: 'Cannot delete with empty ids array',\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: { indexName },\n });\n }\n\n const placeholders = ids.map((_: string, i: number) => `$${i + 1}`).join(', ');\n query = `DELETE FROM ${tableName} WHERE vector_id IN (${placeholders}) AND namespace = $${ids.length + 1}`;\n values = [...ids, effectiveNamespace];\n } else if (filter) {\n // Delete by filter\n // Safety check: Don't allow empty filters to prevent accidental deletion of all vectors\n if (!filter || Object.keys(filter).length === 0) {\n throw new MastraError({\n id: createVectorErrorId('PG', 'DELETE_VECTORS', 'EMPTY_FILTER'),\n text: 'Cannot delete with empty filter. Use deleteIndex to delete all vectors.',\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: { indexName },\n });\n }\n\n // Translate filter using existing infrastructure\n const translatedFilter = this.transformFilter(filter);\n const { sql: filterQuery, values: filterValues } = buildDeleteFilterQuery(translatedFilter);\n\n // Extract WHERE clause (remove \"WHERE\" prefix if present)\n const whereClause = filterQuery.trim().replace(/^WHERE\\s+/i, '');\n\n if (!whereClause) {\n throw new MastraError({\n id: createVectorErrorId('PG', 'DELETE_VECTORS', 'INVALID_FILTER'),\n text: 'Filter produced empty WHERE clause',\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.USER,\n details: { indexName, filter: JSON.stringify(filter) },\n });\n }\n\n query = `DELETE FROM ${tableName} WHERE namespace = $${filterValues.length + 1} AND (${whereClause})`;\n values = [...filterValues, effectiveNamespace];\n } else {\n query = `DELETE FROM ${tableName} WHERE namespace = $1`;\n values = [effectiveNamespace];\n }\n\n // Execute the delete query\n const result = await client.query(query, values);\n\n this.logger?.info(`Deleted ${result.rowCount || 0} vectors from ${indexName}`, {\n indexName,\n filter: filter ? filter : undefined,\n ids: ids ? ids : undefined,\n deletedCount: result.rowCount || 0,\n });\n } catch (error: any) {\n // Re-throw MastraErrors as-is\n if (error instanceof MastraError) {\n throw error;\n }\n\n // Wrap other errors\n const mastraError = new MastraError(\n {\n id: createVectorErrorId('PG', 'DELETE_VECTORS', 'FAILED'),\n domain: ErrorDomain.MASTRA_VECTOR,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n indexName,\n ...(filter && { filter: JSON.stringify(filter) }),\n ...(ids && { idsCount: ids.length }),\n },\n },\n error,\n );\n this.logger?.trackException(mastraError);\n throw mastraError;\n } finally {\n client?.release();\n }\n }\n}\n","import type { Pool, PoolClient, QueryResult } from 'pg';\nimport type { SchemaSnapshot, SchemaSnapshotHost } from './db/schema-snapshot';\n\n// Re-export pg types for consumers\nexport type { Pool, PoolClient, QueryResult } from 'pg';\n\n/**\n * Values array for parameterized queries.\n */\nexport type QueryValues = unknown[];\n\n/**\n * Common interface for database clients.\n * PoolAdapter implements this interface by wrapping a pg.Pool.\n */\nexport interface DbClient {\n /**\n * The underlying connection pool.\n */\n readonly $pool: Pool;\n\n /**\n * Acquire a client from the pool for manual query execution.\n * Remember to call client.release() when done.\n */\n connect(): Promise;\n\n /**\n * Execute a query that returns no data.\n * Use for INSERT, UPDATE, DELETE without RETURNING.\n */\n none(query: string, values?: QueryValues): Promise;\n\n /**\n * Execute a query that returns exactly one row.\n * @throws Error if zero or more than one row is returned\n */\n one(query: string, values?: QueryValues): Promise;\n\n /**\n * Execute a query that returns zero or one row.\n * @returns The row, or null if no rows returned\n * @throws Error if more than one row is returned\n */\n oneOrNone(query: string, values?: QueryValues): Promise;\n\n /**\n * Execute a query that returns any number of rows (including zero).\n * Alias for manyOrNone.\n */\n any(query: string, values?: QueryValues): Promise;\n\n /**\n * Execute a query that returns zero or more rows.\n */\n manyOrNone(query: string, values?: QueryValues): Promise;\n\n /**\n * Execute a query that returns at least one row.\n * @throws Error if no rows are returned\n */\n many(query: string, values?: QueryValues): Promise;\n\n /**\n * Execute a raw query, returning the full result object.\n */\n query(query: string, values?: QueryValues): Promise;\n\n /**\n * Execute a function within a transaction.\n * Automatically handles BEGIN, COMMIT, and ROLLBACK.\n */\n tx(callback: (t: TxClient) => Promise): Promise;\n}\n\n/**\n * Transaction client interface for executing queries within a transaction.\n */\nexport interface TxClient {\n none(query: string, values?: QueryValues): Promise;\n one(query: string, values?: QueryValues): Promise;\n oneOrNone(query: string, values?: QueryValues): Promise;\n any(query: string, values?: QueryValues): Promise;\n manyOrNone(query: string, values?: QueryValues): Promise;\n many(query: string, values?: QueryValues): Promise;\n query(query: string, values?: QueryValues): Promise;\n /**\n * Await multiple query promises. Prefer collecting results from\n * TransactionClient methods (which serialize onto one PoolClient);\n * do not start raw `client.query` calls concurrently.\n */\n batch(promises: Promise[]): Promise;\n}\n\n/**\n * Truncate a query string for error messages.\n */\nfunction truncateQuery(query: string, maxLength = 100): string {\n const normalized = query.replace(/\\s+/g, ' ').trim();\n if (normalized.length <= maxLength) {\n return normalized;\n }\n return normalized.slice(0, maxLength) + '...';\n}\n\n/**\n * Adapter that wraps a pg.Pool to implement DbClient.\n */\nexport class PoolAdapter implements DbClient {\n constructor(public readonly $pool: Pool) {}\n\n connect(): Promise {\n return this.$pool.connect();\n }\n\n async none(query: string, values?: QueryValues): Promise {\n await this.$pool.query(query, values);\n return null;\n }\n\n async one(query: string, values?: QueryValues): Promise {\n const result = await this.$pool.query(query, values);\n if (result.rows.length === 0) {\n throw new Error(`No data returned from query: ${truncateQuery(query)}`);\n }\n if (result.rows.length > 1) {\n throw new Error(`Multiple rows returned when one was expected: ${truncateQuery(query)}`);\n }\n return result.rows[0] as T;\n }\n\n async oneOrNone(query: string, values?: QueryValues): Promise {\n const result = await this.$pool.query(query, values);\n if (result.rows.length === 0) {\n return null;\n }\n if (result.rows.length > 1) {\n throw new Error(`Multiple rows returned when one or none was expected: ${truncateQuery(query)}`);\n }\n return result.rows[0] as T;\n }\n\n async any(query: string, values?: QueryValues): Promise {\n const result = await this.$pool.query(query, values);\n return result.rows as T[];\n }\n\n async manyOrNone(query: string, values?: QueryValues): Promise {\n return this.any(query, values);\n }\n\n async many(query: string, values?: QueryValues): Promise {\n const result = await this.$pool.query(query, values);\n if (result.rows.length === 0) {\n throw new Error(`No data returned from query: ${truncateQuery(query)}`);\n }\n return result.rows as T[];\n }\n\n async query(query: string, values?: QueryValues): Promise {\n return this.$pool.query(query, values);\n }\n\n async tx(callback: (t: TxClient) => Promise): Promise {\n const client = await this.$pool.connect();\n try {\n await client.query('BEGIN');\n const txClient = new TransactionClient(client);\n try {\n const result = await callback(txClient);\n // Drain before COMMIT so fire-and-forget / batch tails can't race it.\n await txClient.drain();\n await client.query('COMMIT');\n return result;\n } catch (error) {\n // Drain before ROLLBACK: Promise.all in batch() rejects on the first\n // failure while later enqueued queries may still be running. Preserve\n // the callback/drain error that caused this catch.\n await txClient.drain().catch(() => undefined);\n try {\n await client.query('ROLLBACK');\n } catch (rollbackError) {\n // Log rollback failure but throw original error\n console.error('Transaction rollback failed:', rollbackError);\n }\n throw error;\n }\n } finally {\n client.release();\n }\n }\n}\n\n/**\n * Transaction client that wraps a PoolClient for executing queries within a transaction.\n *\n * Query methods are serialized through a tail promise (same pattern as\n * PinnedClientAdapter). Callers such as memory.updateMessages historically\n * did `queries.push(t.none(...))` then `await t.batch(queries)` — each\n * `t.none()` is async and starts `client.query` immediately, so by the time\n * batch runs, N queries are already in flight on one PoolClient. pg@8 queues\n * those internally and emits a DeprecationWarning; pg@9 will throw.\n * (#20820)\n */\nclass TransactionClient implements TxClient {\n /**\n * Serialization tail. Without this gate, concurrent t.none()/t.query()\n * from Promise.all / batch land on the same PoolClient at once.\n */\n #tail: Promise = Promise.resolve();\n #error: { value: unknown } | undefined;\n\n constructor(private readonly client: PoolClient) {}\n\n #enqueue(fn: () => Promise): Promise {\n const next = this.#tail.then(fn);\n this.#tail = next.then(\n () => undefined,\n error => {\n this.#error ??= { value: error };\n },\n );\n return next;\n }\n\n /**\n * Wait until every enqueued query has settled and surface the first failure.\n * PoolAdapter / PinnedClientAdapter call this before COMMIT/ROLLBACK so\n * those control statements never overlap in-flight work on the same client.\n */\n async drain(): Promise {\n await this.#tail;\n if (this.#error) {\n const { value } = this.#error;\n this.#error = undefined;\n throw value;\n }\n }\n\n none(query: string, values?: QueryValues): Promise {\n return this.#enqueue(async () => {\n await this.client.query(query, values);\n return null;\n });\n }\n\n one(query: string, values?: QueryValues): Promise {\n return this.#enqueue(async () => {\n const result = await this.client.query(query, values);\n if (result.rows.length === 0) {\n throw new Error(`No data returned from query: ${truncateQuery(query)}`);\n }\n if (result.rows.length > 1) {\n throw new Error(`Multiple rows returned when one was expected: ${truncateQuery(query)}`);\n }\n return result.rows[0] as T;\n });\n }\n\n oneOrNone(query: string, values?: QueryValues): Promise {\n return this.#enqueue(async () => {\n const result = await this.client.query(query, values);\n if (result.rows.length === 0) {\n return null;\n }\n if (result.rows.length > 1) {\n throw new Error(`Multiple rows returned when one or none was expected: ${truncateQuery(query)}`);\n }\n return result.rows[0] as T;\n });\n }\n\n any(query: string, values?: QueryValues): Promise {\n return this.#enqueue(async () => {\n const result = await this.client.query(query, values);\n return result.rows as T[];\n });\n }\n\n manyOrNone(query: string, values?: QueryValues): Promise {\n return this.any(query, values);\n }\n\n many(query: string, values?: QueryValues): Promise {\n return this.#enqueue(async () => {\n const result = await this.client.query(query, values);\n if (result.rows.length === 0) {\n throw new Error(`No data returned from query: ${truncateQuery(query)}`);\n }\n return result.rows as T[];\n });\n }\n\n query(query: string, values?: QueryValues): Promise {\n return this.#enqueue(() => this.client.query(query, values));\n }\n\n async batch(promises: Promise[]): Promise {\n // Promises are already enqueued (and thus serialized) by the query\n // methods above; awaiting them together is fine.\n return Promise.all(promises);\n }\n}\n\n/**\n * DbClient adapter that pins all queries to a single PoolClient.\n *\n * Used during PostgresStore.init() to funnel every domain's DDL through\n * one backend connection. This collapses ~200 per-statement pool checkouts\n * into a single connection acquisition, which:\n * - removes connection-handshake RTT on remote/managed Postgres\n * - makes the entire init look like one transaction to a transaction\n * pooler (PgBouncer/Supabase), avoiding pooler-budget exhaustion\n * - eliminates inter-statement lock contention by construction (a single\n * backend serializes statements naturally)\n *\n * The wrapped client is the caller's responsibility to release.\n */\nexport class PinnedClientAdapter implements DbClient {\n /**\n * Serialization tail. Domain init() methods fire via Promise.all in\n * MastraCompositeStore.#runInit(), so without our own gate every domain's\n * query() lands on the same PoolClient concurrently. pg@8 queues those\n * internally and emits a deprecation warning; pg@9 will throw. Chaining\n * each new query off the previous one's settlement (success or failure)\n * gives us deterministic FIFO ordering at the adapter layer and removes\n * the reliance on pg's internal queue.\n */\n #tail: Promise = Promise.resolve();\n\n constructor(\n public readonly $pool: Pool,\n private readonly pinnedClient: PoolClient,\n ) {}\n\n /**\n * Run `fn` after any previously enqueued work on this pinned client has\n * settled. Failures in earlier calls don't poison the queue — we always\n * resume on the next caller's turn.\n */\n #enqueue(fn: () => Promise): Promise {\n const next = this.#tail.then(fn, fn);\n // Swallow rejection on the chained tail so a failing call doesn't\n // leave an unhandled rejection on later enqueues.\n this.#tail = next.catch(() => undefined);\n return next;\n }\n\n connect(): Promise {\n // No domain init() currently calls connect(), and silently falling\n // back to the pool would bypass pinning. Throw so a future code path\n // that adds a connect()-based init fails loud instead of silently\n // re-introducing the parallel-DDL fan-out we're trying to prevent.\n throw new Error(\n 'PinnedClientAdapter.connect() is not supported during PostgresStore.init(). ' +\n 'All DDL must flow through the pinned client.',\n );\n }\n\n none(query: string, values?: QueryValues): Promise {\n return this.#enqueue(async () => {\n await this.pinnedClient.query(query, values);\n return null;\n });\n }\n\n one(query: string, values?: QueryValues): Promise {\n return this.#enqueue(async () => {\n const result = await this.pinnedClient.query(query, values);\n if (result.rows.length === 0) {\n throw new Error(`No data returned from query: ${truncateQuery(query)}`);\n }\n if (result.rows.length > 1) {\n throw new Error(`Multiple rows returned when one was expected: ${truncateQuery(query)}`);\n }\n return result.rows[0] as T;\n });\n }\n\n oneOrNone(query: string, values?: QueryValues): Promise {\n return this.#enqueue(async () => {\n const result = await this.pinnedClient.query(query, values);\n if (result.rows.length === 0) {\n return null;\n }\n if (result.rows.length > 1) {\n throw new Error(`Multiple rows returned when one or none was expected: ${truncateQuery(query)}`);\n }\n return result.rows[0] as T;\n });\n }\n\n any(query: string, values?: QueryValues): Promise {\n return this.#enqueue(async () => {\n const result = await this.pinnedClient.query(query, values);\n return result.rows as T[];\n });\n }\n\n manyOrNone(query: string, values?: QueryValues): Promise {\n return this.any(query, values);\n }\n\n many(query: string, values?: QueryValues): Promise {\n return this.#enqueue(async () => {\n const result = await this.pinnedClient.query(query, values);\n if (result.rows.length === 0) {\n throw new Error(`No data returned from query: ${truncateQuery(query)}`);\n }\n return result.rows as T[];\n });\n }\n\n query(query: string, values?: QueryValues): Promise {\n return this.#enqueue(() => this.pinnedClient.query(query, values));\n }\n\n tx(callback: (t: TxClient) => Promise): Promise {\n // Enqueue the entire BEGIN/work/COMMIT block so concurrent callers\n // can't interleave statements inside someone else's transaction.\n return this.#enqueue(async () => {\n await this.pinnedClient.query('BEGIN');\n const txClient = new TransactionClient(this.pinnedClient);\n try {\n const result = await callback(txClient);\n await txClient.drain();\n await this.pinnedClient.query('COMMIT');\n return result;\n } catch (error) {\n await txClient.drain().catch(() => undefined);\n try {\n await this.pinnedClient.query('ROLLBACK');\n } catch (rollbackError) {\n console.error('Transaction rollback failed:', rollbackError);\n }\n throw error;\n }\n });\n }\n}\n\n/**\n * DbClient wrapper that routes to an alternate client when one is pinned.\n *\n * Most of the time this just forwards to the underlying PoolAdapter.\n * During PostgresStore.init() we temporarily pin a single-client adapter\n * so every domain's DDL flows through one backend connection.\n */\nexport class RoutingDbClient implements DbClient, SchemaSnapshotHost {\n #base: DbClient;\n #pinned: DbClient | null = null;\n #schemaSnapshot: SchemaSnapshot | null = null;\n\n constructor(base: DbClient) {\n this.#base = base;\n }\n\n /**\n * Catalog snapshot for the current init window, or `null` outside it.\n *\n * It lives here rather than on `PgDB` because every storage domain builds its\n * own `PgDB` over this one shared client — hanging the snapshot off the\n * client means one load serves all of them, and its lifetime lines up exactly\n * with the pinned-init window that `pin()`/`unpin()` already delimit.\n */\n get schemaSnapshot(): SchemaSnapshot | null {\n return this.#schemaSnapshot;\n }\n\n /** Install (or clear, with `null`) the init-window catalog snapshot. */\n setSchemaSnapshot(snapshot: SchemaSnapshot | null): void {\n this.#schemaSnapshot = snapshot;\n }\n\n /** Returns the currently active client (pinned if set, otherwise base). */\n private get active(): DbClient {\n return this.#pinned ?? this.#base;\n }\n\n /**\n * Pin a DbClient so all subsequent calls route through it until unpinned.\n * Throws if a client is already pinned to avoid silent overrides.\n */\n pin(client: DbClient): void {\n if (this.#pinned) {\n throw new Error('RoutingDbClient already has a pinned client');\n }\n this.#pinned = client;\n }\n\n unpin(): void {\n this.#pinned = null;\n }\n\n get $pool(): Pool {\n return this.#base.$pool;\n }\n\n connect(): Promise {\n return this.active.connect();\n }\n\n none(query: string, values?: QueryValues): Promise {\n return this.active.none(query, values);\n }\n\n one(query: string, values?: QueryValues): Promise {\n return this.active.one(query, values);\n }\n\n oneOrNone(query: string, values?: QueryValues): Promise {\n return this.active.oneOrNone(query, values);\n }\n\n any(query: string, values?: QueryValues): Promise {\n return this.active.any(query, values);\n }\n\n manyOrNone(query: string, values?: QueryValues): Promise {\n return this.active.manyOrNone(query, values);\n }\n\n many(query: string, values?: QueryValues): Promise {\n return this.active.many(query, values);\n }\n\n query(query: string, values?: QueryValues): Promise {\n return this.active.query(query, values);\n }\n\n tx(callback: (t: TxClient) => Promise): Promise {\n return this.active.tx(callback);\n }\n}\n","export const POSTGRES_IDENTIFIER_MAX_LENGTH = 63;\n\nexport function truncateIdentifier(value: string, maxLength = POSTGRES_IDENTIFIER_MAX_LENGTH): string {\n if (maxLength <= 0) return '';\n if (Buffer.byteLength(value, 'utf-8') <= maxLength) return value;\n\n let bytes = 0;\n let end = 0;\n for (const ch of value) {\n const chBytes = Buffer.byteLength(ch, 'utf-8');\n if (bytes + chBytes > maxLength) break;\n bytes += chBytes;\n end += ch.length; // surrogate pairs have .length === 2\n }\n return value.slice(0, end);\n}\n\n/**\n * Builds a constraint name with an optional schema prefix, truncated to fit\n * within Postgres' identifier length limit. The result is always lowercased\n * because PostgreSQL folds unquoted identifiers to lowercase when storing them\n * in system catalogs (pg_constraint.conname, pg_indexes.indexname, etc.).\n * Without this normalisation, runtime lookups that compare a mixed-case name\n * against the catalog would silently fail.\n */\nexport function buildConstraintName({\n baseName,\n schemaName,\n maxLength = POSTGRES_IDENTIFIER_MAX_LENGTH,\n}: {\n baseName: string;\n schemaName?: string;\n maxLength?: number;\n}): string {\n const prefix = schemaName ? `${schemaName}_` : '';\n return truncateIdentifier(`${prefix}${baseName}`.toLowerCase(), maxLength);\n}\n","/**\n * Postgres error classifiers for concurrent DDL.\n *\n * `CREATE SCHEMA / TABLE / INDEX IF NOT EXISTS` checks aren't atomic against\n * concurrent backends. Two callers racing past the existence probe can both\n * reach the catalog insert; the loser sees a duplicate-object error. These\n * helpers identify the exact codes we treat as \"already exists by the time we\n * look\" so every other error surfaces normally.\n */\n\ninterface PgErrorLike {\n code?: string;\n constraint?: string;\n message?: string;\n}\n\nfunction asPgError(error: unknown): PgErrorLike {\n return (error ?? {}) as PgErrorLike;\n}\n\n/**\n * True when `error` says a relation with this name already exists in this\n * schema. Covers `42P07` (clean case from `CREATE TABLE`) and `23505`\n * unique-violation races on the relevant pg_catalog indexes, plus a final\n * `/already exists/i` regex fallback for drivers that don't surface a code.\n */\nexport function isDuplicateRelationError(error: unknown): boolean {\n const { code, constraint, message = '' } = asPgError(error);\n if (code === '42P07') return true;\n if (code === '23505' && (constraint === 'pg_type_typname_nsp_index' || constraint === 'pg_class_relname_nsp_index')) {\n return true;\n }\n return /already exists/i.test(message);\n}\n\n/**\n * True when `error` says a schema with this name already exists. Covers\n * `42P06` and the `23505` race on `pg_namespace_nspname_index`, plus a\n * narrower regex fallback than `isDuplicateRelationError` so this helper\n * only swallows schema-existence errors.\n */\nexport function isDuplicateSchemaError(error: unknown): boolean {\n const { code, constraint, message = '' } = asPgError(error);\n if (code === '42P06') return true;\n if (code === '23505' && constraint === 'pg_namespace_nspname_index') return true;\n return /schema .* already exists/i.test(message);\n}\n","import type { DbClient } from '../client';\n\n/**\n * A read-only picture of one Postgres schema's catalog, taken once at the start\n * of `PostgresStore.init()`.\n *\n * Before this existed, every domain's init converged its own tables by asking\n * the server: an `information_schema.columns` probe per column, a `pg_indexes`\n * probe per index, plus an unconditional `CREATE TABLE IF NOT EXISTS` and a\n * no-op `ALTER TABLE ... ADD COLUMN IF NOT EXISTS` per column. On an\n * already-converged schema that is ~350 statements that change nothing, and\n * because init pins every domain to a single backend connection (issue #17679)\n * they are strictly serialized — warm init cost is ~350 x RTT.\n *\n * The snapshot answers all of those questions locally instead, from three\n * catalog reads.\n *\n * **Init-scoped by design.** The snapshot is installed on the store's\n * `RoutingDbClient` for exactly the pinned-init window and cleared in the same\n * `finally` that unpins, so staleness is bounded to a single init() call and\n * runtime code paths keep querying the live catalog. It is deliberately *not* a\n * process-global cache (that shape was proposed in PR #13960 and closed\n * unmerged): every init re-reads the catalog, so a schema that drifted out of\n * band between inits is still detected and healed.\n *\n * **Why `pg_catalog` and not `information_schema`.** `information_schema` views\n * are privilege-filtered: a role with USAGE on the schema but no grants on a\n * table sees the table but none of its columns, which would make the snapshot\n * report \"table present, zero columns\" and skip DDL that is genuinely needed.\n * The `pg_catalog` views used here are not privilege-filtered, so all three\n * queries share one visibility rule.\n */\nexport interface SchemaSnapshot {\n /** Schema the snapshot was taken from (`public` when the store has none). */\n readonly schemaName: string;\n /** Unqualified names of tables present in the schema. */\n tables: Set;\n /** table name -> column names present on that table. */\n columns: Map>;\n /** table name -> column name -> Postgres type name (`jsonb`, `text`, ...). */\n columnTypes: Map>;\n /** Index names present in the schema, exactly as the catalog stores them. */\n indexes: Set;\n /** Names of indexes that are the replica identity of their table. */\n replicaIdentityIndexes: Set;\n /**\n * Lowercased names of PRIMARY KEY indexes. A primary key is always backed by\n * an index of the same name, so this answers \"does constraint X exist?\" for\n * primary keys without a `pg_constraint` probe. Lowercased because the\n * queries it replaces compare `conname = lower($1)`.\n */\n primaryKeyIndexes: Set;\n}\n\n/**\n * Implemented by `RoutingDbClient` so the `PgDB` instances that share it (one\n * per storage domain) can all read the single snapshot loaded for the current\n * init window.\n */\nexport interface SchemaSnapshotHost {\n readonly schemaSnapshot: SchemaSnapshot | null;\n}\n\n/**\n * Returns the snapshot currently installed on `client`, but only when it was\n * taken from the schema the caller operates on. A store configured for another\n * schema (or a client with no snapshot at all) gets `null` and falls back to\n * probing the live catalog.\n */\nexport function getSchemaSnapshot(client: unknown, schemaName: string | undefined): SchemaSnapshot | null {\n const snapshot = (client as Partial | null | undefined)?.schemaSnapshot;\n if (!snapshot) return null;\n return snapshot.schemaName === (schemaName || 'public') ? snapshot : null;\n}\n\n/**\n * Reads the catalog for `schemaName` in three queries. Must be called on the\n * pinned init client so the snapshot reflects what that connection will see.\n */\nexport async function loadSchemaSnapshot(client: DbClient, schemaName: string | undefined): Promise {\n const schema = schemaName || 'public';\n\n const [tableRows, columnRows, indexRows] = await Promise.all([\n client.manyOrNone<{ tablename: string }>(`SELECT tablename FROM pg_catalog.pg_tables WHERE schemaname = $1`, [\n schema,\n ]),\n client.manyOrNone<{ table_name: string; column_name: string; data_type: string }>(\n `SELECT c.relname AS table_name, a.attname AS column_name, format_type(a.atttypid, a.atttypmod) AS data_type\n FROM pg_catalog.pg_class c\n JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace\n JOIN pg_catalog.pg_attribute a ON a.attrelid = c.oid\n WHERE n.nspname = $1\n AND c.relkind IN ('r', 'p')\n AND a.attnum > 0\n AND NOT a.attisdropped`,\n [schema],\n ),\n // pg_index rather than the pg_indexes view: same names, but it also carries\n // indisreplident, which createTable needs to know whether the\n // workflow_snapshot unique index is already the table's replica identity,\n // and indisprimary, which answers primary-key constraint existence.\n client.manyOrNone<{ indexname: string; is_replica_identity: boolean; is_primary: boolean }>(\n `SELECT c.relname AS indexname, i.indisreplident AS is_replica_identity, i.indisprimary AS is_primary\n FROM pg_catalog.pg_index i\n JOIN pg_catalog.pg_class c ON c.oid = i.indexrelid\n JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace\n WHERE n.nspname = $1`,\n [schema],\n ),\n ]);\n\n const columns = new Map>();\n const columnTypes = new Map>();\n for (const row of columnRows) {\n let set = columns.get(row.table_name);\n if (!set) {\n set = new Set();\n columns.set(row.table_name, set);\n }\n set.add(row.column_name);\n\n let types = columnTypes.get(row.table_name);\n if (!types) {\n types = new Map();\n columnTypes.set(row.table_name, types);\n }\n types.set(row.column_name, row.data_type);\n }\n\n const indexes = new Set();\n const replicaIdentityIndexes = new Set();\n const primaryKeyIndexes = new Set();\n for (const row of indexRows) {\n indexes.add(row.indexname);\n if (row.is_replica_identity) {\n replicaIdentityIndexes.add(row.indexname);\n }\n if (row.is_primary) {\n primaryKeyIndexes.add(row.indexname.toLowerCase());\n }\n }\n\n return {\n schemaName: schema,\n tables: new Set(tableRows.map(r => r.tablename)),\n columns,\n columnTypes,\n indexes,\n replicaIdentityIndexes,\n primaryKeyIndexes,\n };\n}\n","import type { ConnectionOptions } from 'node:tls';\nimport { MastraBase } from '@mastra/core/base';\nimport { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport {\n createStorageErrorId,\n TABLE_WORKFLOW_SNAPSHOT,\n TABLE_SPANS,\n TABLE_SCHEMAS,\n getSqlType,\n getDefaultValue,\n} from '@mastra/core/storage';\nimport type {\n StorageColumn,\n TABLE_NAMES,\n CreateIndexOptions,\n IndexInfo,\n StorageIndexStats,\n} from '@mastra/core/storage';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport { Pool } from 'pg';\nimport type { DbClient, QueryValues, TxClient } from '../client';\nimport { PoolAdapter } from '../client';\nimport { buildConstraintName } from './constraint-utils';\nimport { isDuplicateRelationError, isDuplicateSchemaError } from './pg-errors';\nimport { getSchemaSnapshot } from './schema-snapshot';\nimport type { SchemaSnapshot } from './schema-snapshot';\n\n// Re-export DbClient for external use\nexport type { DbClient } from '../client';\n\n/**\n * Configuration for standalone domain usage.\n * Accepts either:\n * 1. An existing database client (Pool or PoolAdapter)\n * 2. Config to create a new pool internally\n */\nexport type PgDomainConfig = PgDomainClientConfig | PgDomainPoolConfig | PgDomainRestConfig;\n\n/**\n * Pass an existing database client (DbClient)\n */\nexport interface PgDomainClientConfig {\n /** The writer database client */\n client: DbClient;\n /** Optional reader database client. Falls back to `client`. */\n readClient?: DbClient;\n /** Optional schema name (defaults to 'public') */\n schemaName?: string;\n /** When true, default indexes will not be created during initialization */\n skipDefaultIndexes?: boolean;\n /** Custom indexes to create for this domain's tables */\n indexes?: CreateIndexOptions[];\n}\n\n/**\n * Pass an existing pg.Pool\n */\nexport interface PgDomainPoolConfig {\n /** Pre-configured writer pg.Pool */\n pool: Pool;\n /** Optional reader pg.Pool. Falls back to `pool`. */\n readPool?: Pool;\n /** Optional schema name (defaults to 'public') */\n schemaName?: string;\n /** When true, default indexes will not be created during initialization */\n skipDefaultIndexes?: boolean;\n /** Custom indexes to create for this domain's tables */\n indexes?: CreateIndexOptions[];\n}\n\n/**\n * Pass config to create a new pg.Pool internally\n */\nexport type PgDomainRestConfig = {\n /** Optional schema name (defaults to 'public') */\n schemaName?: string;\n /** When true, default indexes will not be created during initialization */\n skipDefaultIndexes?: boolean;\n /** Custom indexes to create for this domain's tables */\n indexes?: CreateIndexOptions[];\n} & (\n | {\n host: string;\n port: number;\n database: string;\n user: string;\n password: string;\n ssl?: boolean | ConnectionOptions;\n }\n | {\n connectionString: string;\n ssl?: boolean | ConnectionOptions;\n }\n);\n\n/**\n * Resolves PgDomainConfig to a database client and schema.\n * Handles creating a new pool if config is provided.\n */\nexport function resolvePgConfig(config: PgDomainConfig): {\n client: DbClient;\n readClient: DbClient;\n schemaName?: string;\n skipDefaultIndexes?: boolean;\n indexes?: CreateIndexOptions[];\n} {\n // Existing client\n if ('client' in config) {\n return {\n client: config.client,\n readClient: config.readClient ?? config.client,\n schemaName: config.schemaName,\n skipDefaultIndexes: config.skipDefaultIndexes,\n indexes: config.indexes,\n };\n }\n\n // Existing pool\n if ('pool' in config) {\n const client = new PoolAdapter(config.pool);\n return {\n client,\n readClient: config.readPool && config.readPool !== config.pool ? new PoolAdapter(config.readPool) : client,\n schemaName: config.schemaName,\n skipDefaultIndexes: config.skipDefaultIndexes,\n indexes: config.indexes,\n };\n }\n\n // Config to create new pool\n let pool: Pool;\n if ('connectionString' in config) {\n pool = new Pool({\n connectionString: config.connectionString,\n ssl: config.ssl,\n });\n } else {\n pool = new Pool({\n host: config.host,\n port: config.port,\n database: config.database,\n user: config.user,\n password: config.password,\n ssl: config.ssl,\n });\n }\n\n // pg emits 'error' on the pool when an idle client's connection drops;\n // without a listener Node escalates the event to an uncaughtException and\n // crashes the process. No logger is threaded into this helper, so warn on\n // the console like COLLISION_WARNING does.\n pool.on('error', err => {\n console.warn(\n `resolvePgConfig: idle pool client error (pool discards the client and reconnects on next checkout): ${err instanceof Error ? err.message : String(err)}`,\n );\n });\n\n const client = new PoolAdapter(pool);\n return {\n client,\n readClient: client,\n schemaName: config.schemaName,\n skipDefaultIndexes: config.skipDefaultIndexes,\n indexes: config.indexes,\n };\n}\n\nexport function getSchemaName(schema?: string) {\n return schema ? `\"${parseSqlIdentifier(schema, 'schema name')}\"` : '\"public\"';\n}\n\nexport function getTableName({ indexName, schemaName }: { indexName: string; schemaName?: string }) {\n const parsedIndexName = parseSqlIdentifier(indexName, 'index name');\n const quotedIndexName = `\"${parsedIndexName}\"`;\n const quotedSchemaName = schemaName;\n return quotedSchemaName ? `${quotedSchemaName}.${quotedIndexName}` : quotedIndexName;\n}\n\nfunction mapToSqlType(type: StorageColumn['type']): string {\n switch (type) {\n case 'uuid':\n return 'UUID';\n case 'boolean':\n return 'BOOLEAN';\n default:\n return getSqlType(type);\n }\n}\n\nexport function generateTableSQL({\n tableName,\n schema,\n schemaName,\n compositePrimaryKey,\n includeAllConstraints = false,\n}: {\n tableName: TABLE_NAMES;\n schema: Record;\n schemaName?: string;\n compositePrimaryKey?: string[];\n /** When true, includes all constraints in the SQL (for exports). When false, some constraints are added at runtime after data migration. */\n includeAllConstraints?: boolean;\n}): string {\n // Validate composite PK columns exist in schema\n if (compositePrimaryKey) {\n for (const col of compositePrimaryKey) {\n if (!(col in schema)) {\n throw new Error(`compositePrimaryKey column \"${col}\" does not exist in schema for table \"${tableName}\"`);\n }\n }\n }\n\n const compositePKSet = compositePrimaryKey ? new Set(compositePrimaryKey) : null;\n\n const timeZColumns = Object.entries(schema)\n .filter(([_, def]) => def.type === 'timestamp')\n .map(([name]) => {\n const parsedName = parseSqlIdentifier(name, 'column name');\n return `\"${parsedName}Z\" TIMESTAMPTZ DEFAULT NOW()`;\n });\n\n const columns = Object.entries(schema).map(([name, def]) => {\n const parsedName = parseSqlIdentifier(name, 'column name');\n const constraints = [];\n // Skip per-column PRIMARY KEY if column is part of composite PK\n if (def.primaryKey && !compositePKSet?.has(name)) constraints.push('PRIMARY KEY');\n if (!def.nullable) constraints.push('NOT NULL');\n return `\"${parsedName}\" ${mapToSqlType(def.type)} ${constraints.join(' ')}`;\n });\n\n const tableConstraints: string[] = [];\n if (compositePrimaryKey) {\n const pkCols = compositePrimaryKey.map(c => `\"${parseSqlIdentifier(c, 'column name')}\"`).join(', ');\n tableConstraints.push(`PRIMARY KEY (${pkCols})`);\n }\n\n const finalColumns = [...columns, ...timeZColumns, ...tableConstraints].join(',\\n');\n // Sanitize schema name before using it in constraint names to ensure valid SQL identifiers\n const parsedSchemaName = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n // Use the original (long) base name so existing databases that already have\n // the constraint under this name are detected by the IF NOT EXISTS check.\n // buildConstraintName will truncate only when a schema prefix pushes the\n // combined name past the 63-byte Postgres limit.\n const workflowSnapshotConstraint = buildConstraintName({\n baseName: 'mastra_workflow_snapshot_workflow_name_run_id_key',\n schemaName: parsedSchemaName || undefined,\n });\n const spansPrimaryKeyConstraint = buildConstraintName({\n baseName: 'mastra_ai_spans_traceid_spanid_pk',\n schemaName: parsedSchemaName || undefined,\n });\n const quotedSchemaName = getSchemaName(schemaName);\n const schemaFilter = parsedSchemaName || 'public';\n\n const sql = `\n CREATE TABLE IF NOT EXISTS ${getTableName({ indexName: tableName, schemaName: quotedSchemaName })} (\n ${finalColumns}\n );\n ${\n tableName === TABLE_WORKFLOW_SNAPSHOT\n ? `\n DO $$ BEGIN\n IF NOT EXISTS (\n SELECT 1 FROM pg_constraint WHERE conname = lower('${workflowSnapshotConstraint}') AND connamespace = (SELECT oid FROM pg_namespace WHERE nspname = '${schemaFilter}')\n ) AND NOT EXISTS (\n SELECT 1 FROM pg_indexes WHERE indexname = lower('${workflowSnapshotConstraint}') AND schemaname = '${schemaFilter}'\n ) THEN\n ALTER TABLE ${getTableName({ indexName: tableName, schemaName: quotedSchemaName })}\n ADD CONSTRAINT ${workflowSnapshotConstraint}\n UNIQUE (workflow_name, run_id);\n END IF;\n IF EXISTS (\n SELECT 1 FROM pg_index i\n JOIN pg_class c ON i.indexrelid = c.oid\n JOIN pg_namespace n ON c.relnamespace = n.oid\n WHERE c.relname = lower('${workflowSnapshotConstraint}')\n AND n.nspname = '${schemaFilter}'\n AND i.indisreplident = false\n ) THEN\n ALTER TABLE ${getTableName({ indexName: tableName, schemaName: quotedSchemaName })}\n REPLICA IDENTITY USING INDEX ${workflowSnapshotConstraint};\n END IF;\n END $$;\n `\n : ''\n }\n ${\n // For spans table: Include PRIMARY KEY in exports, but not in runtime (handled after deduplication)\n tableName === TABLE_SPANS && includeAllConstraints\n ? `\n DO $$ BEGIN\n IF NOT EXISTS (\n SELECT 1 FROM pg_constraint WHERE conname = lower('${spansPrimaryKeyConstraint}') AND connamespace = (SELECT oid FROM pg_namespace WHERE nspname = '${schemaFilter}')\n ) THEN\n ALTER TABLE ${getTableName({ indexName: tableName, schemaName: quotedSchemaName })}\n ADD CONSTRAINT ${spansPrimaryKeyConstraint}\n PRIMARY KEY (\"traceId\", \"spanId\");\n END IF;\n END $$;\n `\n : ''\n }\n `;\n // Note: At runtime, PRIMARY KEY for spans table is added separately after deduplication\n // See PgDB.addSpansPrimaryKey()\n\n return sql;\n}\n\n/**\n * Generates a CREATE INDEX SQL statement from index options.\n * Used by exportSchemas to produce index DDL without a database connection.\n */\nexport function generateIndexSQL(options: CreateIndexOptions, schemaName?: string): string {\n const { name, table, columns, unique = false, where, method = 'btree' } = options;\n\n const quotedSchemaName = getSchemaName(schemaName);\n const fullTableName = getTableName({ indexName: table, schemaName: quotedSchemaName });\n\n const uniqueStr = unique ? 'UNIQUE ' : '';\n const methodStr = method !== 'btree' ? `USING ${method} ` : '';\n\n const columnsStr = columns\n .map(col => {\n if (col.includes(' DESC') || col.includes(' ASC')) {\n const [colName, ...modifiers] = col.split(' ');\n if (!colName) {\n throw new Error(`Invalid column specification: ${col}`);\n }\n return `\"${parseSqlIdentifier(colName, 'column name')}\" ${modifiers.join(' ')}`;\n }\n return `\"${parseSqlIdentifier(col, 'column name')}\"`;\n })\n .join(', ');\n\n const whereStr = where ? ` WHERE ${where}` : '';\n const quotedIndexName = `\"${parseSqlIdentifier(name, 'index name')}\"`;\n\n return `CREATE ${uniqueStr}INDEX IF NOT EXISTS ${quotedIndexName} ON ${fullTableName} ${methodStr}(${columnsStr})${whereStr};`;\n}\n\n/**\n * Generates the SQL for a timestamp trigger function and trigger on a table.\n * Returns the DDL string without executing it.\n */\nexport function generateTimestampTriggerSQL(tableName: string, schemaName?: string): string {\n const quotedSchemaName = getSchemaName(schemaName);\n const fullTableName = getTableName({ indexName: tableName, schemaName: quotedSchemaName });\n const functionName = `${quotedSchemaName}.trigger_set_timestamps`;\n const parsedTriggerName = parseSqlIdentifier(`${tableName}_timestamps`, 'trigger name');\n const triggerName = `\"${parsedTriggerName}\"`;\n\n // Literals for the pg_trigger guard below. The identifiers are already\n // validated by parseSqlIdentifier, so they cannot carry a quote.\n const triggerNameLiteral = `'${parsedTriggerName}'`;\n const tableNameLiteral = `'${parseSqlIdentifier(tableName, 'table name')}'`;\n const schemaNameLiteral = schemaName ? `'${parseSqlIdentifier(schemaName, 'schema name')}'` : `'public'`;\n\n return `CREATE OR REPLACE FUNCTION ${functionName}()\nRETURNS TRIGGER AS $$\nBEGIN\n IF TG_OP = 'INSERT' THEN\n NEW.\"createdAt\" = NOW();\n NEW.\"updatedAt\" = NOW();\n NEW.\"createdAtZ\" = NOW();\n NEW.\"updatedAtZ\" = NOW();\n ELSIF TG_OP = 'UPDATE' THEN\n NEW.\"updatedAt\" = NOW();\n NEW.\"updatedAtZ\" = NOW();\n NEW.\"createdAt\" = OLD.\"createdAt\";\n NEW.\"createdAtZ\" = OLD.\"createdAtZ\";\n END IF;\n RETURN NEW;\nEND;\n$$ LANGUAGE plpgsql;\n\nDO $mastra_timestamps_trigger$\nBEGIN\n -- Recreating the trigger unconditionally would take an ACCESS EXCLUSIVE\n -- lock on the table (DROP TRIGGER does, even when nothing changes), and\n -- init runs on every process start. Skip when the trigger is already\n -- exactly what the CREATE below would produce.\n --\n -- tgtype 23 = ROW (1) | BEFORE (2) | INSERT (4) | UPDATE (16), so a trigger\n -- whose timing or events differ still falls through and gets rebuilt. The\n -- behaviour itself lives in the function, which is replaced above on every\n -- init, so an upgraded function body lands without touching the trigger.\n IF NOT EXISTS (\n SELECT 1\n FROM pg_catalog.pg_trigger tg\n JOIN pg_catalog.pg_class c ON c.oid = tg.tgrelid\n JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace\n WHERE tg.tgname = ${triggerNameLiteral}\n AND c.relname = ${tableNameLiteral}\n AND n.nspname = ${schemaNameLiteral}\n AND NOT tg.tgisinternal\n AND tg.tgtype = 23\n AND tg.tgfoid = '${functionName}()'::regprocedure\n ) THEN\n DROP TRIGGER IF EXISTS ${triggerName} ON ${fullTableName};\n\n CREATE TRIGGER ${triggerName}\n BEFORE INSERT OR UPDATE ON ${fullTableName}\n FOR EACH ROW\n EXECUTE FUNCTION ${functionName}();\n END IF;\nEND\n$mastra_timestamps_trigger$;`;\n}\n\n/**\n * Internal config for PgDB - accepts already-resolved client\n */\nexport interface PgDBInternalConfig {\n client: DbClient;\n readClient?: DbClient;\n schemaName?: string;\n skipDefaultIndexes?: boolean;\n}\n\n// Static map to track schema setup across all PgDB instances\n// Key: schemaName, Value: { promise, complete }\n// This prevents race conditions when multiple domains try to create the same schema concurrently\nconst schemaSetupRegistry = new Map | null; complete: boolean }>();\n\n/**\n * Guard prune batch limits: a non-positive limit deletes nothing while callers'\n * drain checks (`affected < limit`) never fire, which turns the prune loop into\n * an infinite spin. Fail loudly instead.\n */\nfunction assertPositiveLimit(limit: number): void {\n if (!Number.isSafeInteger(limit) || limit <= 0) {\n throw new Error(`prune limit must be a positive integer; received ${limit}`);\n }\n}\n\nexport class PgDB extends MastraBase {\n public client: DbClient;\n public readClient: DbClient;\n public schemaName?: string;\n public skipDefaultIndexes?: boolean;\n\n /** Cache of actual table columns: tableName -> Set */\n private tableColumnsCache = new Map>();\n\n /** Cache of column Postgres data types: tableName -> columnName -> data_type */\n private columnTypeCache = new Map>();\n\n constructor(config: PgDBInternalConfig) {\n super({\n component: 'STORAGE',\n name: 'PG_DB_LAYER',\n });\n\n this.client = config.client;\n this.readClient = config.readClient ?? config.client;\n this.schemaName = config.schemaName;\n this.skipDefaultIndexes = config.skipDefaultIndexes;\n }\n\n /**\n * Catalog snapshot for the current init window, or `null` outside it.\n *\n * When non-null, the init-path methods below answer existence questions from\n * it instead of round-tripping to the server, and record the objects they\n * create so later callers in the same init see them. See\n * {@link SchemaSnapshot} for why it is scoped to init only.\n */\n private get schemaSnapshot(): SchemaSnapshot | null {\n return getSchemaSnapshot(this.client, this.schemaName);\n }\n\n /**\n * Whether the snapshot proves `generateTableSQL` would be a no-op for this\n * table — i.e. the CREATE statement can be skipped.\n *\n * For most tables that is just \"the table exists\". `workflow_snapshot` is the\n * exception: its generated SQL also carries a DO block that back-fills the\n * `(workflow_name, run_id)` unique constraint and promotes it to the table's\n * replica identity, so a table created by an older version still needs the\n * statement to run.\n */\n private snapshotShowsTableConverged(snapshot: SchemaSnapshot, tableName: TABLE_NAMES): boolean {\n if (!snapshot.tables.has(tableName)) return false;\n\n if (tableName === TABLE_WORKFLOW_SNAPSHOT) {\n const constraintName = buildConstraintName({\n baseName: 'mastra_workflow_snapshot_workflow_name_run_id_key',\n schemaName: this.schemaName ? parseSqlIdentifier(this.schemaName, 'schema name') : undefined,\n }).toLowerCase();\n return snapshot.indexes.has(constraintName) && snapshot.replicaIdentityIndexes.has(constraintName);\n }\n\n return true;\n }\n\n /** Column set for `tableName` in the snapshot, created empty if absent. */\n private snapshotColumns(snapshot: SchemaSnapshot, tableName: string): Set {\n let columns = snapshot.columns.get(tableName);\n if (!columns) {\n columns = new Set();\n snapshot.columns.set(tableName, columns);\n }\n return columns;\n }\n\n /**\n * Records an out-of-band `ALTER TABLE … RENAME TO` in the init snapshot.\n *\n * Init-time migrations that issue raw DDL on `this.client` (instead of going\n * through createTable/alterTable/createIndex, which maintain the snapshot\n * themselves) MUST report it through these `note*` methods. A snapshot that\n * still lists a renamed-away table makes a later createTable() in the same\n * init skip the rebuild the migration depends on — stranding data. No-op\n * outside the init window.\n *\n * Indexes riding along with a rename keep their names, so the snapshot's\n * index set stays accurate without changes here.\n */\n noteTableRenamed(oldName: string, newName: string): void {\n const snapshot = this.schemaSnapshot;\n if (snapshot) {\n if (snapshot.tables.delete(oldName)) snapshot.tables.add(newName);\n const columns = snapshot.columns.get(oldName);\n if (columns) {\n snapshot.columns.delete(oldName);\n snapshot.columns.set(newName, columns);\n }\n }\n this.tableColumnsCache.delete(oldName);\n this.columnTypeCache.delete(oldName);\n this.tableColumnsCache.delete(newName);\n this.columnTypeCache.delete(newName);\n }\n\n /**\n * Records an out-of-band `DROP TABLE` in the init snapshot. See\n * {@link noteTableRenamed} for why raw-DDL migrations must call this.\n *\n * The dropped table's indexes vanish with it, but the snapshot's flat index\n * set cannot map names back to tables. Stale entries only make a later\n * createIndex() skip a recreate until the next init re-reads the catalog —\n * the same self-healing bound the rest of the snapshot design accepts.\n */\n noteTableDropped(tableName: string): void {\n const snapshot = this.schemaSnapshot;\n if (snapshot) {\n snapshot.tables.delete(tableName);\n snapshot.columns.delete(tableName);\n snapshot.columnTypes.delete(tableName);\n }\n this.tableColumnsCache.delete(tableName);\n this.columnTypeCache.delete(tableName);\n }\n\n /**\n * Records an out-of-band `ALTER TABLE … ADD COLUMN` in the init snapshot.\n * See {@link noteTableRenamed} for why raw-DDL migrations must call this.\n */\n noteColumnAdded(tableName: string, column: string): void {\n const snapshot = this.schemaSnapshot;\n if (snapshot) this.snapshotColumns(snapshot, tableName).add(column);\n this.tableColumnsCache.delete(tableName);\n this.columnTypeCache.delete(tableName);\n }\n\n /**\n * Gets the set of column names that actually exist in the database table.\n * Results are cached; the cache is invalidated when alterTable() adds new columns.\n */\n private async getTableColumns(tableName: TABLE_NAMES): Promise> {\n const cached = this.tableColumnsCache.get(tableName);\n if (cached) return cached;\n\n const schema = this.schemaName || 'public';\n const rows = await this.client.manyOrNone<{ column_name: string }>(\n `SELECT column_name FROM information_schema.columns WHERE table_schema = $1 AND table_name = $2`,\n [schema, tableName],\n );\n\n const columns = new Set(rows.map(r => r.column_name));\n if (columns.size > 0) {\n this.tableColumnsCache.set(tableName, columns);\n }\n return columns;\n }\n\n /**\n * Filters a record to only include columns that exist in the actual database table.\n * Unknown columns are silently dropped to ensure forward compatibility when newer\n * domain packages add fields that haven't been migrated yet.\n */\n private async filterRecordToKnownColumns(\n tableName: TABLE_NAMES,\n record: Record,\n ): Promise> {\n const knownColumns = await this.getTableColumns(tableName);\n if (knownColumns.size === 0) return record; // Table may not exist yet\n\n const filtered: Record = {};\n for (const [key, value] of Object.entries(record)) {\n if (knownColumns.has(key)) {\n filtered[key] = value;\n }\n }\n return filtered;\n }\n\n async hasColumn(table: string, column: string): Promise {\n const schema = this.schemaName || 'public';\n\n const snapshot = this.schemaSnapshot;\n if (snapshot) {\n const columns = snapshot.columns.get(table);\n if (!columns) return false;\n return columns.has(column) || columns.has(column.toLowerCase());\n }\n\n const result = await this.client.oneOrNone(\n `SELECT 1 FROM information_schema.columns WHERE table_schema = $1 AND table_name = $2 AND (column_name = $3 OR column_name = $4)`,\n [schema, table, column, column.toLowerCase()],\n );\n\n return !!result;\n }\n\n /**\n * Returns the Postgres data type of a column (e.g. `jsonb`, `json`, `text`),\n * or null when the table or column does not exist.\n *\n * Answered from the init snapshot when one is installed, so a warm `init()`\n * issues no catalog probe. Outside init, results are cached per instance and\n * the cache is invalidated alongside {@link tableColumnsCache} whenever DDL\n * changes a table.\n */\n async getColumnType(table: string, column: string): Promise {\n const snapshot = this.schemaSnapshot;\n if (snapshot) {\n const types = snapshot.columnTypes.get(table);\n const known = types?.get(column) ?? types?.get(column.toLowerCase());\n if (known) return known;\n // The table exists in the snapshot but the column does not: nothing to probe for.\n // A table created during this init has no snapshot types yet, so fall through.\n if (types) return null;\n }\n\n const cached = this.columnTypeCache.get(table)?.get(column);\n if (cached !== undefined) return cached;\n\n const schema = this.schemaName || 'public';\n const result = await this.client.oneOrNone<{ data_type: string }>(\n `SELECT data_type FROM information_schema.columns WHERE table_schema = $1 AND table_name = $2 AND (column_name = $3 OR column_name = $4)`,\n [schema, table, column, column.toLowerCase()],\n );\n\n const dataType = result?.data_type ?? null;\n if (dataType) {\n if (snapshot) {\n let snapshotTypes = snapshot.columnTypes.get(table);\n if (!snapshotTypes) {\n snapshotTypes = new Map();\n snapshot.columnTypes.set(table, snapshotTypes);\n }\n snapshotTypes.set(column, dataType);\n }\n let types = this.columnTypeCache.get(table);\n if (!types) {\n types = new Map();\n this.columnTypeCache.set(table, types);\n }\n types.set(column, dataType);\n }\n return dataType;\n }\n\n /**\n * Prepares values for insertion, handling JSONB columns by stringifying them\n */\n private prepareValuesForInsert(record: Record, tableName: TABLE_NAMES): any[] {\n return Object.entries(record).map(([key, value]) => {\n const schema = TABLE_SCHEMAS[tableName];\n const columnSchema = schema?.[key];\n\n if (columnSchema?.type === 'jsonb' && value !== null && value !== undefined) {\n return JSON.stringify(value);\n }\n return value;\n });\n }\n\n /**\n * Adds timestamp Z columns to a record if timestamp columns exist\n */\n private addTimestampZColumns(record: Record): void {\n if (record.createdAt) {\n record.createdAtZ = record.createdAt;\n }\n if (record.created_at) {\n record.created_atZ = record.created_at;\n }\n if (record.updatedAt) {\n record.updatedAtZ = record.updatedAt;\n }\n }\n\n /**\n * Prepares a value for database operations\n */\n private prepareValue(value: any, columnName: string, tableName: TABLE_NAMES): any {\n if (value === null || value === undefined) {\n return value;\n }\n\n if (value instanceof Date) {\n return value.toISOString();\n }\n\n const schema = TABLE_SCHEMAS[tableName];\n const columnSchema = schema?.[columnName];\n\n if (columnSchema?.type === 'jsonb') {\n return JSON.stringify(value);\n }\n\n if (typeof value === 'object') {\n return JSON.stringify(value);\n }\n\n return value;\n }\n\n private async setupSchema() {\n if (!this.schemaName) {\n return;\n }\n\n // Use static registry to coordinate schema setup across all PgDB instances\n let registryEntry = schemaSetupRegistry.get(this.schemaName);\n if (registryEntry?.complete) {\n return;\n }\n\n // During the init window, a snapshot holding tables for this schema proves\n // the schema exists (the snapshot queries are scoped to it), so the\n // `information_schema.schemata` probe below would be a warm init's one\n // remaining per-process round trip. Skip it and mark setup complete. A\n // cold schema yields an empty snapshot and falls through to the probe.\n const snapshot = this.schemaSnapshot;\n if (snapshot && snapshot.tables.size > 0) {\n schemaSetupRegistry.set(this.schemaName, { promise: null, complete: true });\n return;\n }\n\n const quotedSchemaName = getSchemaName(this.schemaName);\n\n if (!registryEntry?.promise) {\n const schemaNameCapture = this.schemaName;\n const setupPromise = (async () => {\n try {\n const schemaExists = await this.client.oneOrNone(\n `\n SELECT EXISTS (\n SELECT 1 FROM information_schema.schemata\n WHERE schema_name = $1\n )\n `,\n [schemaNameCapture],\n );\n\n if (!schemaExists?.exists) {\n try {\n await this.client.none(`CREATE SCHEMA IF NOT EXISTS ${quotedSchemaName}`);\n this.logger.info(`Schema \"${schemaNameCapture}\" created successfully`);\n } catch (error) {\n // `CREATE SCHEMA IF NOT EXISTS` is not atomic; a concurrent\n // backend can race past the existence probe and create the\n // schema first. Treat duplicate-schema errors as success.\n if (isDuplicateSchemaError(error)) {\n this.logger.debug(`Schema \"${schemaNameCapture}\" was created by another process`);\n } else {\n this.logger.error(`Failed to create schema \"${schemaNameCapture}\"`, { error });\n throw new Error(\n `Unable to create schema \"${schemaNameCapture}\". This requires CREATE privilege on the database. ` +\n `Either create the schema manually or grant CREATE privilege to the user.`,\n );\n }\n }\n }\n\n // Mark as complete in the registry\n const entry = schemaSetupRegistry.get(schemaNameCapture);\n if (entry) {\n entry.complete = true;\n }\n this.logger.debug(`Schema \"${quotedSchemaName}\" is ready for use`);\n } catch (error) {\n // On error, clear the registry entry so retry is possible\n schemaSetupRegistry.delete(schemaNameCapture);\n throw error;\n }\n })();\n\n // Register the promise immediately so concurrent callers can await it\n schemaSetupRegistry.set(this.schemaName, { promise: setupPromise, complete: false });\n registryEntry = schemaSetupRegistry.get(this.schemaName);\n }\n\n await registryEntry!.promise;\n }\n\n protected getDefaultValue(type: StorageColumn['type']): string {\n switch (type) {\n case 'timestamp':\n return 'DEFAULT NOW()';\n case 'jsonb':\n return \"DEFAULT '{}'::jsonb\";\n default:\n return getDefaultValue(type);\n }\n }\n\n private async executeInsert(\n client: Pick | Pick,\n { tableName, record }: { tableName: TABLE_NAMES; record: Record },\n ): Promise {\n this.addTimestampZColumns(record);\n\n // Filter out columns that don't exist in the actual database table\n const filteredRecord = await this.filterRecordToKnownColumns(tableName, record);\n\n const schemaName = getSchemaName(this.schemaName);\n const columns = Object.keys(filteredRecord).map(col => parseSqlIdentifier(col, 'column name'));\n if (columns.length === 0) return; // No known columns after filtering - skip insert\n const values = this.prepareValuesForInsert(filteredRecord, tableName);\n const placeholders = values.map((_, i) => `$${i + 1}`).join(', ');\n const fullTableName = getTableName({ indexName: tableName, schemaName });\n const columnList = columns.map(c => `\"${c}\"`).join(', ');\n\n // For spans table, use ON CONFLICT to handle duplicate (traceId, spanId) gracefully\n if (tableName === TABLE_SPANS) {\n // Build update clause for all columns except the primary key columns\n const updateColumns = columns.filter(c => c !== 'traceId' && c !== 'spanId');\n\n if (updateColumns.length > 0) {\n const updateClause = updateColumns.map(c => `\"${c}\" = EXCLUDED.\"${c}\"`).join(', ');\n await client.none(\n `INSERT INTO ${fullTableName} (${columnList}) VALUES (${placeholders})\n ON CONFLICT (\"traceId\", \"spanId\") DO UPDATE SET ${updateClause}`,\n values,\n );\n } else {\n // Only PK columns provided - use DO NOTHING to avoid invalid SQL\n await client.none(\n `INSERT INTO ${fullTableName} (${columnList}) VALUES (${placeholders})\n ON CONFLICT (\"traceId\", \"spanId\") DO NOTHING`,\n values,\n );\n }\n } else {\n await client.none(`INSERT INTO ${fullTableName} (${columnList}) VALUES (${placeholders})`, values);\n }\n }\n\n async insert({ tableName, record }: { tableName: TABLE_NAMES; record: Record }): Promise {\n try {\n await this.executeInsert(this.client, { tableName, record });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'INSERT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n tableName,\n },\n },\n error,\n );\n }\n }\n\n async clearTable({ tableName }: { tableName: TABLE_NAMES }): Promise {\n try {\n const schemaName = getSchemaName(this.schemaName);\n const tableNameWithSchema = getTableName({ indexName: tableName, schemaName });\n\n // Check if table exists before truncating (handles case where init failed)\n const tableExists = await this.client.oneOrNone<{ exists: boolean }>(\n `SELECT EXISTS (\n SELECT 1 FROM information_schema.tables\n WHERE table_schema = $1 AND table_name = $2\n )`,\n [this.schemaName || 'public', tableName],\n );\n\n if (tableExists?.exists) {\n await this.client.none(`TRUNCATE TABLE ${tableNameWithSchema} CASCADE`);\n }\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CLEAR_TABLE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n tableName,\n },\n },\n error,\n );\n }\n }\n\n async createTable({\n tableName,\n schema,\n compositePrimaryKey,\n }: {\n tableName: TABLE_NAMES;\n schema: Record;\n compositePrimaryKey?: string[];\n }): Promise {\n try {\n const timeZColumnNames = Object.entries(schema)\n .filter(([_, def]) => def.type === 'timestamp')\n .map(([name]) => name);\n\n if (this.schemaName) {\n await this.setupSchema();\n }\n\n const snapshot = this.schemaSnapshot;\n // Skipping the statement when everything it would create is already there\n // is not only a saved round trip: `CREATE TABLE IF NOT EXISTS` requires\n // CREATE on the schema, so on a converged schema this is also what lets a\n // least-privilege role finish init instead of failing with\n // \"permission denied\".\n if (!snapshot || !this.snapshotShowsTableConverged(snapshot, tableName)) {\n const sql = generateTableSQL({ tableName, schema, schemaName: this.schemaName, compositePrimaryKey });\n\n try {\n await this.client.none(sql);\n } catch (error) {\n // `CREATE TABLE IF NOT EXISTS` is not atomic across concurrent\n // backends. Two processes can both pass the existence probe and one\n // surfaces a catalog duplicate error. Treat it as \"already created\".\n if (!isDuplicateRelationError(error)) throw error;\n }\n\n if (snapshot) {\n snapshot.tables.add(tableName);\n // generateTableSQL emits the declared columns plus a `Z` twin for\n // every timestamp column; record both so the alterTable pass below\n // and later domains don't re-probe for them.\n const created = this.snapshotColumns(snapshot, tableName);\n for (const [name, def] of Object.entries(schema)) {\n const parsedName = parseSqlIdentifier(name, 'column name');\n created.add(parsedName);\n if (def.type === 'timestamp') {\n created.add(`${parsedName}Z`);\n }\n }\n }\n }\n\n await this.alterTable({\n tableName,\n schema,\n ifNotExists: timeZColumnNames,\n });\n\n // Set up timestamp triggers and run migrations for Spans table\n if (tableName === TABLE_SPANS) {\n await this.setupTimestampTriggers(tableName);\n await this.migrateSpansTable();\n\n // Check if PRIMARY KEY constraint already exists - if so, skip migration\n // This avoids running expensive queries on every init after migration is complete\n const pkExists = await this.spansPrimaryKeyExists();\n if (!pkExists) {\n // Check for duplicates before attempting to add PRIMARY KEY\n const duplicateInfo = await this.checkForDuplicateSpans();\n if (duplicateInfo.hasDuplicates) {\n // Duplicates exist - throw error requiring manual migration\n const errorMessage =\n `\\n` +\n `===========================================================================\\n` +\n `MIGRATION REQUIRED: Duplicate spans detected in ${duplicateInfo.tableName}\\n` +\n `===========================================================================\\n` +\n `\\n` +\n `Found ${duplicateInfo.duplicateCount} duplicate (traceId, spanId) combinations.\\n` +\n `\\n` +\n `The spans table requires a unique constraint on (traceId, spanId), but your\\n` +\n `database contains duplicate entries that must be resolved first.\\n` +\n `\\n` +\n `To fix this, run the manual migration command:\\n` +\n `\\n` +\n ` npx mastra migrate\\n` +\n `\\n` +\n `This command will:\\n` +\n ` 1. Remove duplicate spans (keeping the most complete/recent version)\\n` +\n ` 2. Add the required unique constraint\\n` +\n `\\n` +\n `Note: This migration may take some time for large tables.\\n` +\n `===========================================================================\\n`;\n\n throw new MastraError({\n id: createStorageErrorId('PG', 'MIGRATION_REQUIRED', 'DUPLICATE_SPANS'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: errorMessage,\n });\n } else {\n // No duplicates - safe to add PRIMARY KEY directly\n await this.addSpansPrimaryKey();\n }\n }\n }\n } catch (error) {\n // Rethrow MastraError directly to preserve structured error IDs (e.g., MIGRATION_REQUIRED::DUPLICATE_SPANS)\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_TABLE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n tableName,\n },\n },\n error,\n );\n } finally {\n // Clear cached columns so subsequent inserts see the fresh schema\n this.tableColumnsCache.delete(tableName);\n this.columnTypeCache.delete(tableName);\n }\n }\n\n private async setupTimestampTriggers(tableName: TABLE_NAMES): Promise {\n const fullTableName = getTableName({ indexName: tableName, schemaName: getSchemaName(this.schemaName) });\n\n try {\n const triggerSQL = generateTimestampTriggerSQL(tableName, this.schemaName);\n await this.client.none(triggerSQL);\n this.logger?.debug?.(`Set up timestamp triggers for table ${fullTableName}`);\n } catch (error) {\n this.logger?.warn?.(`Failed to set up timestamp triggers for ${fullTableName}:`, error);\n }\n }\n\n /**\n * Migrates the spans table schema from OLD_SPAN_SCHEMA to current SPAN_SCHEMA.\n * This adds new columns that don't exist in old schema.\n */\n private async migrateSpansTable(): Promise {\n const fullTableName = getTableName({ indexName: TABLE_SPANS, schemaName: getSchemaName(this.schemaName) });\n const schema = TABLE_SCHEMAS[TABLE_SPANS];\n\n try {\n // Add any columns from current schema that don't exist in the database\n for (const [columnName, columnDef] of Object.entries(schema)) {\n const columnExists = await this.hasColumn(TABLE_SPANS, columnName);\n if (!columnExists) {\n const parsedColumnName = parseSqlIdentifier(columnName, 'column name');\n const sqlType = mapToSqlType(columnDef.type);\n // Align with createTable: nullable columns omit NOT NULL, non-nullable columns include it\n const nullable = columnDef.nullable ? '' : 'NOT NULL';\n const defaultValue = !columnDef.nullable ? this.getDefaultValue(columnDef.type) : '';\n const alterSql =\n `ALTER TABLE ${fullTableName} ADD COLUMN IF NOT EXISTS \"${parsedColumnName}\" ${sqlType} ${nullable} ${defaultValue}`.trim();\n await this.client.none(alterSql);\n this.noteColumnAdded(TABLE_SPANS, columnName);\n this.logger?.debug?.(`Added column '${columnName}' to ${fullTableName}`);\n\n // For timestamp columns, also add the timezone-aware version\n // This matches the behavior in alterTable()\n if (sqlType === 'TIMESTAMP') {\n const timestampZSql =\n `ALTER TABLE ${fullTableName} ADD COLUMN IF NOT EXISTS \"${parsedColumnName}Z\" TIMESTAMPTZ DEFAULT NOW()`.trim();\n await this.client.none(timestampZSql);\n this.noteColumnAdded(TABLE_SPANS, `${columnName}Z`);\n this.logger?.debug?.(`Added timezone column '${columnName}Z' to ${fullTableName}`);\n }\n }\n }\n\n // Also add timezone columns for any existing timestamp columns that don't have them yet\n // This handles the case where timestamp columns existed but their *Z counterparts don't\n for (const [columnName, columnDef] of Object.entries(schema)) {\n if (columnDef.type === 'timestamp') {\n const tzColumnName = `${columnName}Z`;\n const tzColumnExists = await this.hasColumn(TABLE_SPANS, tzColumnName);\n if (!tzColumnExists) {\n const parsedTzColumnName = parseSqlIdentifier(tzColumnName, 'column name');\n const timestampZSql =\n `ALTER TABLE ${fullTableName} ADD COLUMN IF NOT EXISTS \"${parsedTzColumnName}\" TIMESTAMPTZ DEFAULT NOW()`.trim();\n await this.client.none(timestampZSql);\n this.noteColumnAdded(TABLE_SPANS, tzColumnName);\n this.logger?.debug?.(`Added timezone column '${tzColumnName}' to ${fullTableName}`);\n }\n }\n }\n\n this.logger?.info?.(`Migration completed for ${fullTableName}`);\n } catch (error) {\n // Log warning but don't fail - migrations should be best-effort\n this.logger?.warn?.(`Failed to migrate spans table ${fullTableName}:`, error);\n }\n }\n\n /**\n * Deduplicates spans in the mastra_ai_spans table before adding the PRIMARY KEY constraint.\n * Keeps spans based on priority: completed (endedAt NOT NULL) > most recent updatedAt > most recent createdAt.\n *\n * Note: This prioritizes migration completion over perfect data preservation.\n * Old trace data may be lost, which is acceptable for this use case.\n */\n private async deduplicateSpans(): Promise {\n const fullTableName = getTableName({ indexName: TABLE_SPANS, schemaName: getSchemaName(this.schemaName) });\n\n try {\n // Quick check: are there any duplicates at all? Use LIMIT 1 for speed on large tables.\n const duplicateCheck = await this.client.oneOrNone<{ has_duplicates: boolean }>(`\n SELECT EXISTS (\n SELECT 1\n FROM ${fullTableName}\n GROUP BY \"traceId\", \"spanId\"\n HAVING COUNT(*) > 1\n LIMIT 1\n ) as has_duplicates\n `);\n\n if (!duplicateCheck?.has_duplicates) {\n this.logger?.debug?.(`No duplicate spans found in ${fullTableName}`);\n return;\n }\n\n this.logger?.info?.(`Duplicate spans detected in ${fullTableName}, starting deduplication...`);\n\n // Delete duplicates directly without fetching details into memory.\n // This avoids OOM issues on large tables with many duplicates.\n // Priority: completed spans (endedAt NOT NULL) > most recent updatedAt > most recent createdAt\n // Uses ctid (physical row id) as final tiebreaker for deterministic results.\n const result = await this.client.query(`\n DELETE FROM ${fullTableName} t1\n USING ${fullTableName} t2\n WHERE t1.\"traceId\" = t2.\"traceId\"\n AND t1.\"spanId\" = t2.\"spanId\"\n AND (\n -- Keep completed spans over incomplete\n (t1.\"endedAt\" IS NULL AND t2.\"endedAt\" IS NOT NULL)\n OR\n -- If both have same completion status, keep more recent updatedAt\n (\n (t1.\"endedAt\" IS NULL) = (t2.\"endedAt\" IS NULL)\n AND (\n (t1.\"updatedAt\" < t2.\"updatedAt\")\n OR (t1.\"updatedAt\" IS NULL AND t2.\"updatedAt\" IS NOT NULL)\n OR\n -- If updatedAt is the same, keep more recent createdAt\n (\n (t1.\"updatedAt\" = t2.\"updatedAt\" OR (t1.\"updatedAt\" IS NULL AND t2.\"updatedAt\" IS NULL))\n AND (\n (t1.\"createdAt\" < t2.\"createdAt\")\n OR (t1.\"createdAt\" IS NULL AND t2.\"createdAt\" IS NOT NULL)\n OR\n -- If all else equal, use ctid as tiebreaker\n (\n (t1.\"createdAt\" = t2.\"createdAt\" OR (t1.\"createdAt\" IS NULL AND t2.\"createdAt\" IS NULL))\n AND t1.ctid < t2.ctid\n )\n )\n )\n )\n )\n )\n `);\n\n this.logger?.info?.(\n `Deduplication complete: removed ${result.rowCount ?? 0} duplicate spans from ${fullTableName}`,\n );\n } catch (error) {\n // Re-throw deduplication errors so PRIMARY KEY addition will fail with a clear error\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DEDUPLICATE_SPANS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n tableName: TABLE_SPANS,\n },\n },\n error,\n );\n }\n }\n\n /**\n * Checks for duplicate (traceId, spanId) combinations in the spans table.\n * Returns information about duplicates for logging/CLI purposes.\n */\n private async checkForDuplicateSpans(): Promise<{\n hasDuplicates: boolean;\n duplicateCount: number;\n tableName: string;\n }> {\n const fullTableName = getTableName({ indexName: TABLE_SPANS, schemaName: getSchemaName(this.schemaName) });\n\n try {\n // Count duplicate (traceId, spanId) combinations\n const result = await this.client.oneOrNone<{ duplicate_count: string }>(`\n SELECT COUNT(*) as duplicate_count\n FROM (\n SELECT \"traceId\", \"spanId\"\n FROM ${fullTableName}\n GROUP BY \"traceId\", \"spanId\"\n HAVING COUNT(*) > 1\n ) duplicates\n `);\n\n const duplicateCount = parseInt(result?.duplicate_count ?? '0', 10);\n return {\n hasDuplicates: duplicateCount > 0,\n duplicateCount,\n tableName: fullTableName,\n };\n } catch (error) {\n // If table doesn't exist or other error, assume no duplicates\n this.logger?.debug?.(`Could not check for duplicates: ${error}`);\n return { hasDuplicates: false, duplicateCount: 0, tableName: fullTableName };\n }\n }\n\n /**\n * Checks if the PRIMARY KEY constraint on (traceId, spanId) already exists on the spans table.\n * Used to skip deduplication when the constraint already exists (migration already complete).\n */\n private async spansPrimaryKeyExists(): Promise {\n const parsedSchemaName = this.schemaName ? parseSqlIdentifier(this.schemaName, 'schema name') : '';\n const constraintName = buildConstraintName({\n baseName: 'mastra_ai_spans_traceid_spanid_pk',\n schemaName: parsedSchemaName || undefined,\n });\n const schemaFilter = this.schemaName || 'public';\n\n // A primary key is always backed by an index of the same name, so the init\n // snapshot already answers this without a round trip.\n const snapshot = this.schemaSnapshot;\n if (snapshot) return snapshot.primaryKeyIndexes.has(constraintName.toLowerCase());\n\n return this.spansPrimaryKeyExistsLive(constraintName, schemaFilter);\n }\n\n /** Live-catalog variant of {@link spansPrimaryKeyExists}, bypassing the snapshot. */\n private async spansPrimaryKeyExistsLive(constraintName: string, schemaFilter: string): Promise {\n const result = await this.client.oneOrNone<{ exists: boolean }>(\n `SELECT EXISTS (SELECT 1 FROM pg_constraint WHERE conname = lower($1) AND connamespace = (SELECT oid FROM pg_namespace WHERE nspname = $2)) as exists`,\n [constraintName, schemaFilter],\n );\n\n return result?.exists ?? false;\n }\n\n /**\n * Adds the PRIMARY KEY constraint on (traceId, spanId) to the spans table.\n * Should be called AFTER deduplication to ensure no duplicate key violations.\n */\n private async addSpansPrimaryKey(): Promise {\n const fullTableName = getTableName({ indexName: TABLE_SPANS, schemaName: getSchemaName(this.schemaName) });\n const parsedSchemaName = this.schemaName ? parseSqlIdentifier(this.schemaName, 'schema name') : '';\n const constraintName = buildConstraintName({\n baseName: 'mastra_ai_spans_traceid_spanid_pk',\n schemaName: parsedSchemaName || undefined,\n });\n const schemaFilter = this.schemaName || 'public';\n\n try {\n // Check if the constraint already exists\n const constraintExists = await this.client.oneOrNone<{ exists: boolean }>(\n `\n SELECT EXISTS (\n SELECT 1 FROM pg_constraint WHERE conname = lower($1) AND connamespace = (SELECT oid FROM pg_namespace WHERE nspname = $2)\n ) as exists\n `,\n [constraintName, schemaFilter],\n );\n\n if (constraintExists?.exists) {\n this.logger?.debug?.(`PRIMARY KEY constraint ${constraintName} already exists on ${fullTableName}`);\n return;\n }\n\n // Add the PRIMARY KEY constraint\n await this.client.none(`\n ALTER TABLE ${fullTableName}\n ADD CONSTRAINT ${constraintName}\n PRIMARY KEY (\"traceId\", \"spanId\")\n `);\n this.schemaSnapshot?.primaryKeyIndexes.add(constraintName.toLowerCase());\n\n this.logger?.info?.(`Added PRIMARY KEY constraint ${constraintName} to ${fullTableName}`);\n } catch (error) {\n // Another process may have added the same constraint concurrently\n // (TOCTOU between the EXISTS check and the ALTER TABLE). Treat the\n // resulting duplicate-relation / duplicate-object error as success,\n // but only after confirming the PRIMARY KEY is actually present.\n // isDuplicateRelationError can also match on unrelated name collisions\n // (e.g. a stale index with the same name), so the post-check prevents\n // silently swallowing errors when the constraint is still missing.\n //\n // The confirm must hit the live catalog: in this path the init snapshot\n // (if live) just said the constraint was ABSENT — that is why the ALTER\n // ran — so re-asking it would deterministically contradict the\n // concurrent creator and turn a benign race into a thrown error.\n if (isDuplicateRelationError(error)) {\n const confirmed = await this.spansPrimaryKeyExistsLive(constraintName, schemaFilter);\n if (confirmed) {\n this.schemaSnapshot?.primaryKeyIndexes.add(constraintName.toLowerCase());\n this.logger?.debug?.(`PRIMARY KEY constraint ${constraintName} was created by another process`);\n return;\n }\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'ADD_SPANS_PRIMARY_KEY', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n tableName: TABLE_SPANS,\n constraintName,\n },\n },\n error,\n );\n }\n }\n\n /**\n * Manually run the spans migration to deduplicate and add the unique constraint.\n * This is intended to be called from the CLI when duplicates are detected.\n *\n * @returns Migration result with status and details\n */\n async migrateSpans(): Promise<{\n success: boolean;\n alreadyMigrated: boolean;\n duplicatesRemoved: number;\n message: string;\n }> {\n const fullTableName = getTableName({ indexName: TABLE_SPANS, schemaName: getSchemaName(this.schemaName) });\n\n // Check if already migrated\n const pkExists = await this.spansPrimaryKeyExists();\n if (pkExists) {\n return {\n success: true,\n alreadyMigrated: true,\n duplicatesRemoved: 0,\n message: `Migration already complete. PRIMARY KEY constraint exists on ${fullTableName}.`,\n };\n }\n\n // Check for duplicates\n const duplicateInfo = await this.checkForDuplicateSpans();\n\n if (duplicateInfo.hasDuplicates) {\n this.logger?.info?.(\n `Found ${duplicateInfo.duplicateCount} duplicate (traceId, spanId) combinations. Starting deduplication...`,\n );\n\n // Run deduplication\n await this.deduplicateSpans();\n } else {\n this.logger?.info?.(`No duplicate spans found.`);\n }\n\n // Add PRIMARY KEY constraint\n await this.addSpansPrimaryKey();\n\n return {\n success: true,\n alreadyMigrated: false,\n duplicatesRemoved: duplicateInfo.duplicateCount,\n message: duplicateInfo.hasDuplicates\n ? `Migration complete. Removed duplicates and added PRIMARY KEY constraint to ${fullTableName}.`\n : `Migration complete. Added PRIMARY KEY constraint to ${fullTableName}.`,\n };\n }\n\n /**\n * Check migration status for the spans table.\n * Returns information about whether migration is needed.\n */\n async checkSpansMigrationStatus(): Promise<{\n needsMigration: boolean;\n hasDuplicates: boolean;\n duplicateCount: number;\n constraintExists: boolean;\n tableName: string;\n }> {\n const fullTableName = getTableName({ indexName: TABLE_SPANS, schemaName: getSchemaName(this.schemaName) });\n const pkExists = await this.spansPrimaryKeyExists();\n\n if (pkExists) {\n return {\n needsMigration: false,\n hasDuplicates: false,\n duplicateCount: 0,\n constraintExists: true,\n tableName: fullTableName,\n };\n }\n\n const duplicateInfo = await this.checkForDuplicateSpans();\n return {\n needsMigration: true,\n hasDuplicates: duplicateInfo.hasDuplicates,\n duplicateCount: duplicateInfo.duplicateCount,\n constraintExists: false,\n tableName: fullTableName,\n };\n }\n\n /**\n * Alters table schema to add columns if they don't exist\n * @param tableName Name of the table\n * @param schema Schema of the table\n * @param ifNotExists Array of column names to add if they don't exist\n */\n async alterTable({\n tableName,\n schema,\n ifNotExists,\n }: {\n tableName: TABLE_NAMES;\n schema: Record;\n ifNotExists: string[];\n }): Promise {\n const fullTableName = getTableName({ indexName: tableName, schemaName: getSchemaName(this.schemaName) });\n const snapshot = this.schemaSnapshot;\n // Every ALTER below is `ADD COLUMN IF NOT EXISTS`, so on a converged schema\n // they are all no-ops the server still has to parse and acknowledge. When a\n // snapshot is live, only issue the ones that will actually change something.\n const knownColumns = snapshot ? this.snapshotColumns(snapshot, tableName) : null;\n\n try {\n for (const columnName of ifNotExists) {\n if (schema[columnName]) {\n const columnDef = schema[columnName];\n const parsedColumnName = parseSqlIdentifier(columnName, 'column name');\n const sqlType = mapToSqlType(columnDef.type);\n // Align with createTable: nullable columns omit NOT NULL, non-nullable columns include it\n const nullable = columnDef.nullable ? '' : 'NOT NULL';\n const defaultValue = !columnDef.nullable ? this.getDefaultValue(columnDef.type) : '';\n const alterSql =\n `ALTER TABLE ${fullTableName} ADD COLUMN IF NOT EXISTS \"${parsedColumnName}\" ${sqlType} ${nullable} ${defaultValue}`.trim();\n\n if (!knownColumns?.has(parsedColumnName)) {\n await this.client.none(alterSql);\n knownColumns?.add(parsedColumnName);\n }\n\n if (sqlType === 'TIMESTAMP') {\n const tzColumnName = `${parsedColumnName}Z`;\n if (!knownColumns?.has(tzColumnName)) {\n const timestampZSql =\n `ALTER TABLE ${fullTableName} ADD COLUMN IF NOT EXISTS \"${tzColumnName}\" TIMESTAMPTZ DEFAULT NOW()`.trim();\n await this.client.none(timestampZSql);\n knownColumns?.add(tzColumnName);\n }\n }\n\n this.logger?.debug?.(`Ensured column ${parsedColumnName} exists in table ${fullTableName}`);\n }\n }\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'ALTER_TABLE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n tableName,\n },\n },\n error,\n );\n } finally {\n // Invalidate cached columns after DDL completes so concurrent writers see the new schema\n this.tableColumnsCache.delete(tableName);\n this.columnTypeCache.delete(tableName);\n }\n }\n\n async load({ tableName, keys }: { tableName: TABLE_NAMES; keys: Record }): Promise {\n try {\n const keyEntries = Object.entries(keys).map(([key, value]) => [parseSqlIdentifier(key, 'column name'), value]);\n const conditions = keyEntries.map(([key], index) => `\"${key}\" = $${index + 1}`).join(' AND ');\n const values = keyEntries.map(([_, value]) => value);\n\n const result = await this.client.oneOrNone(\n `SELECT * FROM ${getTableName({ indexName: tableName, schemaName: getSchemaName(this.schemaName) })} WHERE ${conditions} ORDER BY \"createdAt\" DESC LIMIT 1`,\n values,\n );\n\n if (!result) {\n return null;\n }\n\n if (tableName === TABLE_WORKFLOW_SNAPSHOT) {\n const snapshot = result as any;\n if (typeof snapshot.snapshot === 'string') {\n snapshot.snapshot = JSON.parse(snapshot.snapshot);\n }\n return snapshot;\n }\n\n return result;\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LOAD', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n tableName,\n },\n },\n error,\n );\n }\n }\n\n async batchInsert({ tableName, records }: { tableName: TABLE_NAMES; records: Record[] }): Promise {\n try {\n await this.client.tx(async tx => {\n for (const record of records) {\n await this.executeInsert(tx, { tableName, record });\n }\n });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'BATCH_INSERT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n tableName,\n numberOfRecords: records.length,\n },\n },\n error,\n );\n }\n }\n\n async dropTable({ tableName }: { tableName: TABLE_NAMES }): Promise {\n try {\n const schemaName = getSchemaName(this.schemaName);\n const tableNameWithSchema = getTableName({ indexName: tableName, schemaName });\n await this.client.none(`DROP TABLE IF EXISTS ${tableNameWithSchema}`);\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DROP_TABLE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n tableName,\n },\n },\n error,\n );\n } finally {\n // Clear cached columns so subsequent createTable+insert sees the fresh schema\n this.tableColumnsCache.delete(tableName);\n this.columnTypeCache.delete(tableName);\n }\n }\n\n async createIndex(options: CreateIndexOptions): Promise {\n try {\n const {\n name,\n table,\n columns,\n unique = false,\n concurrent = true,\n where,\n method = 'btree',\n opclass,\n storage,\n tablespace,\n } = options;\n\n const schemaName = this.schemaName || 'public';\n const fullTableName = getTableName({\n indexName: table as TABLE_NAMES,\n schemaName: getSchemaName(this.schemaName),\n });\n\n const snapshot = this.schemaSnapshot;\n if (snapshot) {\n if (snapshot.indexes.has(name)) return;\n } else {\n const indexExists = await this.client.oneOrNone(\n `SELECT 1 FROM pg_indexes\n WHERE indexname = $1\n AND schemaname = $2`,\n [name, schemaName],\n );\n\n if (indexExists) {\n return;\n }\n }\n\n const uniqueStr = unique ? 'UNIQUE ' : '';\n const concurrentStr = concurrent ? 'CONCURRENTLY ' : '';\n const methodStr = method !== 'btree' ? `USING ${method} ` : '';\n\n const columnsStr = columns\n .map(col => {\n if (col.includes(' DESC') || col.includes(' ASC')) {\n const [colName, ...modifiers] = col.split(' ');\n if (!colName) {\n throw new Error(`Invalid column specification: ${col}`);\n }\n const quotedCol = `\"${parseSqlIdentifier(colName, 'column name')}\" ${modifiers.join(' ')}`;\n return opclass ? `${quotedCol} ${opclass}` : quotedCol;\n }\n const quotedCol = `\"${parseSqlIdentifier(col, 'column name')}\"`;\n return opclass ? `${quotedCol} ${opclass}` : quotedCol;\n })\n .join(', ');\n\n const whereStr = where ? ` WHERE ${where}` : '';\n const tablespaceStr = tablespace ? ` TABLESPACE ${tablespace}` : '';\n\n let withStr = '';\n if (storage && Object.keys(storage).length > 0) {\n const storageParams = Object.entries(storage)\n .map(([key, value]) => `${key} = ${value}`)\n .join(', ');\n withStr = ` WITH (${storageParams})`;\n }\n\n const quotedIndexName = `\"${parseSqlIdentifier(name, 'index name')}\"`;\n const sql = `CREATE ${uniqueStr}INDEX ${concurrentStr}${quotedIndexName} ON ${fullTableName} ${methodStr}(${columnsStr})${withStr}${tablespaceStr}${whereStr}`;\n\n await this.client.none(sql);\n snapshot?.indexes.add(name);\n } catch (error) {\n if (error instanceof Error && error.message.includes('CONCURRENTLY')) {\n const retryOptions = { ...options, concurrent: false };\n return this.createIndex(retryOptions);\n }\n\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'INDEX_CREATE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n indexName: options.name,\n tableName: options.table,\n },\n },\n error,\n );\n }\n }\n\n /**\n * Runs a caller-built `CREATE INDEX IF NOT EXISTS` statement, unless the init\n * snapshot already proves `indexName` exists.\n *\n * `createIndex` covers the indexes described by {@link CreateIndexOptions};\n * this is for the two init paths that hand-write their statement (a partial\n * or otherwise non-standard index) and would otherwise send a no-op DDL on\n * every warm init.\n */\n async createIndexFromStatement(indexName: string, sql: string): Promise {\n const snapshot = this.schemaSnapshot;\n if (snapshot?.indexes.has(indexName)) return;\n\n await this.client.none(sql);\n snapshot?.indexes.add(indexName);\n }\n\n async dropIndex(indexName: string): Promise {\n try {\n const schemaName = this.schemaName || 'public';\n const snapshot = this.schemaSnapshot;\n if (snapshot) {\n if (!snapshot.indexes.has(indexName)) return;\n } else {\n const indexExists = await this.client.oneOrNone(\n `SELECT 1 FROM pg_indexes\n WHERE indexname = $1\n AND schemaname = $2`,\n [indexName, schemaName],\n );\n\n if (!indexExists) {\n return;\n }\n }\n\n const quotedIndexName = `\"${parseSqlIdentifier(indexName, 'index name')}\"`;\n const sql = `DROP INDEX IF EXISTS ${getSchemaName(this.schemaName)}.${quotedIndexName}`;\n await this.client.none(sql);\n snapshot?.indexes.delete(indexName);\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'INDEX_DROP', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n indexName,\n },\n },\n error,\n );\n }\n }\n\n async listIndexes(tableName?: string): Promise {\n try {\n const schemaName = this.schemaName || 'public';\n\n let query: string;\n let params: any[];\n\n if (tableName) {\n query = `\n SELECT\n i.indexname as name,\n i.tablename as table,\n i.indexdef as definition,\n ix.indisunique as is_unique,\n pg_size_pretty(pg_relation_size(c.oid)) as size,\n array_agg(a.attname ORDER BY array_position(ix.indkey, a.attnum)) as columns\n FROM pg_indexes i\n JOIN pg_class c ON c.relname = i.indexname AND c.relnamespace = (SELECT oid FROM pg_namespace WHERE nspname = i.schemaname)\n JOIN pg_index ix ON ix.indexrelid = c.oid\n JOIN pg_attribute a ON a.attrelid = ix.indrelid AND a.attnum = ANY(ix.indkey)\n WHERE i.schemaname = $1\n AND i.tablename = $2\n GROUP BY i.indexname, i.tablename, i.indexdef, ix.indisunique, c.oid\n `;\n params = [schemaName, tableName];\n } else {\n query = `\n SELECT\n i.indexname as name,\n i.tablename as table,\n i.indexdef as definition,\n ix.indisunique as is_unique,\n pg_size_pretty(pg_relation_size(c.oid)) as size,\n array_agg(a.attname ORDER BY array_position(ix.indkey, a.attnum)) as columns\n FROM pg_indexes i\n JOIN pg_class c ON c.relname = i.indexname AND c.relnamespace = (SELECT oid FROM pg_namespace WHERE nspname = i.schemaname)\n JOIN pg_index ix ON ix.indexrelid = c.oid\n JOIN pg_attribute a ON a.attrelid = ix.indrelid AND a.attnum = ANY(ix.indkey)\n WHERE i.schemaname = $1\n GROUP BY i.indexname, i.tablename, i.indexdef, ix.indisunique, c.oid\n `;\n params = [schemaName];\n }\n\n const results = await this.client.manyOrNone(query, params);\n\n return results.map(row => {\n let columns: string[] = [];\n if (typeof row.columns === 'string' && row.columns.startsWith('{') && row.columns.endsWith('}')) {\n const arrayContent = row.columns.slice(1, -1);\n columns = arrayContent ? arrayContent.split(',') : [];\n } else if (Array.isArray(row.columns)) {\n columns = row.columns;\n }\n\n return {\n name: row.name,\n table: row.table,\n columns,\n unique: row.is_unique || false,\n size: row.size || '0',\n definition: row.definition || '',\n };\n });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'INDEX_LIST', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: tableName\n ? {\n tableName,\n }\n : {},\n },\n error,\n );\n }\n }\n\n async describeIndex(indexName: string): Promise {\n try {\n const schemaName = this.schemaName || 'public';\n\n const query = `\n SELECT\n i.indexname as name,\n i.tablename as table,\n i.indexdef as definition,\n ix.indisunique as is_unique,\n pg_size_pretty(pg_relation_size(c.oid)) as size,\n array_agg(a.attname ORDER BY array_position(ix.indkey, a.attnum)) as columns,\n am.amname as method,\n s.idx_scan as scans,\n s.idx_tup_read as tuples_read,\n s.idx_tup_fetch as tuples_fetched\n FROM pg_indexes i\n JOIN pg_class c ON c.relname = i.indexname AND c.relnamespace = (SELECT oid FROM pg_namespace WHERE nspname = i.schemaname)\n JOIN pg_index ix ON ix.indexrelid = c.oid\n JOIN pg_attribute a ON a.attrelid = ix.indrelid AND a.attnum = ANY(ix.indkey)\n JOIN pg_am am ON c.relam = am.oid\n LEFT JOIN pg_stat_user_indexes s ON s.indexrelname = i.indexname AND s.schemaname = i.schemaname\n WHERE i.schemaname = $1\n AND i.indexname = $2\n GROUP BY i.indexname, i.tablename, i.indexdef, ix.indisunique, c.oid, am.amname, s.idx_scan, s.idx_tup_read, s.idx_tup_fetch\n `;\n\n const result = await this.client.oneOrNone(query, [schemaName, indexName]);\n\n if (!result) {\n throw new Error(`Index \"${indexName}\" not found in schema \"${schemaName}\"`);\n }\n\n let columns: string[] = [];\n if (typeof result.columns === 'string' && result.columns.startsWith('{') && result.columns.endsWith('}')) {\n const arrayContent = result.columns.slice(1, -1);\n columns = arrayContent ? arrayContent.split(',') : [];\n } else if (Array.isArray(result.columns)) {\n columns = result.columns;\n }\n\n return {\n name: result.name,\n table: result.table,\n columns,\n unique: result.is_unique || false,\n size: result.size || '0',\n definition: result.definition || '',\n method: result.method || 'btree',\n scans: parseInt(String(result.scans)) || 0,\n tuples_read: parseInt(String(result.tuples_read)) || 0,\n tuples_fetched: parseInt(String(result.tuples_fetched)) || 0,\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'INDEX_DESCRIBE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n indexName,\n },\n },\n error,\n );\n }\n }\n\n async update({\n tableName,\n keys,\n data,\n }: {\n tableName: TABLE_NAMES;\n keys: Record;\n data: Record;\n }): Promise {\n try {\n await this.executeUpdate(this.client, { tableName, keys, data });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n tableName,\n },\n },\n error,\n );\n }\n }\n\n async batchUpdate({\n tableName,\n updates,\n }: {\n tableName: TABLE_NAMES;\n updates: Array<{\n keys: Record;\n data: Record;\n }>;\n }): Promise {\n try {\n await this.client.tx(async tx => {\n for (const { keys, data } of updates) {\n await this.executeUpdate(tx, { tableName, keys, data });\n }\n });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'BATCH_UPDATE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n tableName,\n numberOfRecords: updates.length,\n },\n },\n error,\n );\n }\n }\n\n async batchDelete({ tableName, keys }: { tableName: TABLE_NAMES; keys: Record[] }): Promise {\n try {\n if (keys.length === 0) {\n return;\n }\n\n const tableName_ = getTableName({\n indexName: tableName,\n schemaName: getSchemaName(this.schemaName),\n });\n\n await this.client.tx(async t => {\n for (const keySet of keys) {\n const conditions: string[] = [];\n const values: any[] = [];\n let paramIndex = 1;\n\n Object.entries(keySet).forEach(([key, value]) => {\n const parsedKey = parseSqlIdentifier(key, 'column name');\n conditions.push(`\"${parsedKey}\" = $${paramIndex++}`);\n values.push(value);\n });\n\n const sql = `DELETE FROM ${tableName_} WHERE ${conditions.join(' AND ')}`;\n await t.none(sql, values);\n }\n });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'BATCH_DELETE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n tableName,\n numberOfRecords: keys.length,\n },\n },\n error,\n );\n }\n }\n\n /**\n * Delete all data from a table (alias for clearTable for consistency with other stores)\n */\n async deleteData({ tableName }: { tableName: TABLE_NAMES }): Promise {\n return this.clearTable({ tableName });\n }\n\n // ---------------------------------------------------------------------------\n // Retention helpers (prune)\n // ---------------------------------------------------------------------------\n\n /**\n * Deletes up to `limit` rows from `tableName` whose `column` value is strictly\n * older than `cutoff`, in a single bounded statement. Returns the number of\n * rows deleted so the caller's batch loop can decide whether the table is\n * drained.\n *\n * PostgreSQL has no `DELETE ... LIMIT`, so this targets a bounded set of\n * physical rows via the `ctid` system column (PG's row identity, analogous to\n * SQLite's `rowid`). `cutoff` is bound as a parameter — a `Date`/ISO-8601\n * string compared against a `timestamptz` anchor column, or a `number`\n * compared against a `bigint` epoch-ms anchor column.\n */\n async pruneBatch({\n tableName,\n column,\n cutoff,\n limit,\n }: {\n tableName: TABLE_NAMES;\n column: string;\n cutoff: Date | string | number;\n limit: number;\n }): Promise {\n assertPositiveLimit(limit);\n const fullTableName = getTableName({ indexName: tableName, schemaName: getSchemaName(this.schemaName) });\n const parsedColumn = `\"${parseSqlIdentifier(column, 'column name')}\"`;\n\n const sql = `\n DELETE FROM ${fullTableName}\n WHERE ctid IN (\n SELECT ctid FROM ${fullTableName}\n WHERE ${parsedColumn} < $1\n LIMIT $2\n )\n `;\n\n const result = await this.client.query(sql, [cutoff, limit]);\n return result.rowCount ?? 0;\n }\n\n /**\n * Deletes up to `limit` aged parent rows *and* their child rows together, in\n * a single transaction (used by whole-unit pruning such as experiments →\n * experiment_results). The aged parent IDs are selected first and both\n * deletes target that exact ID set, so a bound or abort between batches never\n * leaves a parent hollow (kept, but with its children gone) or children\n * orphaned.\n */\n async pruneUnitsBatch({\n parentTable,\n parentKey,\n parentColumn,\n childTable,\n childForeignKey,\n cutoff,\n limit,\n }: {\n parentTable: TABLE_NAMES;\n parentKey: string;\n parentColumn: string;\n childTable: TABLE_NAMES;\n childForeignKey: string;\n cutoff: Date | string | number;\n limit: number;\n }): Promise<{ parents: number; children: number }> {\n assertPositiveLimit(limit);\n const schemaName = getSchemaName(this.schemaName);\n const fullChildTable = getTableName({ indexName: childTable, schemaName });\n const fullParentTable = getTableName({ indexName: parentTable, schemaName });\n const childFk = `\"${parseSqlIdentifier(childForeignKey, 'column name')}\"`;\n const parentPk = `\"${parseSqlIdentifier(parentKey, 'column name')}\"`;\n const parentCol = `\"${parseSqlIdentifier(parentColumn, 'column name')}\"`;\n\n return this.client.tx(async t => {\n const rows = await t.manyOrNone<{ id: unknown }>(\n `SELECT ${parentPk} AS id FROM ${fullParentTable} WHERE ${parentCol} < $1 LIMIT $2 FOR UPDATE SKIP LOCKED`,\n [cutoff, limit],\n );\n const ids = rows.map(r => r.id);\n if (ids.length === 0) return { parents: 0, children: 0 };\n\n const childResult = await t.query(`DELETE FROM ${fullChildTable} WHERE ${childFk} = ANY($1)`, [ids]);\n const parentResult = await t.query(`DELETE FROM ${fullParentTable} WHERE ${parentPk} = ANY($1)`, [ids]);\n return {\n parents: parentResult.rowCount ?? 0,\n children: childResult.rowCount ?? 0,\n };\n });\n }\n\n /**\n * Creates a btree index on `column` for `tableName` if it does not already\n * exist, so age-based prune deletes stay fast. Delegates to {@link createIndex}\n * (which is a no-op when the index is present).\n *\n * The name is lowercased and truncated to Postgres' 63-byte identifier limit\n * (schema-prefixed names can exceed it), mirroring {@link buildConstraintName}.\n */\n async ensureIndex({\n indexName,\n tableName,\n column,\n }: {\n indexName: string;\n tableName: TABLE_NAMES;\n column: string;\n }): Promise {\n const name = buildConstraintName({ baseName: indexName });\n await this.createIndex({ name, table: tableName, columns: [column] });\n }\n\n private async executeUpdate(\n client: Pick | Pick,\n {\n tableName,\n keys,\n data,\n }: {\n tableName: TABLE_NAMES;\n keys: Record;\n data: Record;\n },\n ): Promise {\n // Filter out columns that don't exist in the actual database table\n const filteredData = await this.filterRecordToKnownColumns(tableName, data);\n if (Object.keys(filteredData).length === 0) return; // Nothing to update after filtering\n\n const setColumns: string[] = [];\n const setValues: QueryValues = [];\n let paramIndex = 1;\n\n Object.entries(filteredData).forEach(([key, value]) => {\n const parsedKey = parseSqlIdentifier(key, 'column name');\n setColumns.push(`\"${parsedKey}\" = $${paramIndex++}`);\n setValues.push(this.prepareValue(value, key, tableName));\n });\n\n const whereConditions: string[] = [];\n const whereValues: QueryValues = [];\n\n Object.entries(keys).forEach(([key, value]) => {\n const parsedKey = parseSqlIdentifier(key, 'column name');\n whereConditions.push(`\"${parsedKey}\" = $${paramIndex++}`);\n whereValues.push(this.prepareValue(value, key, tableName));\n });\n\n const tableName_ = getTableName({\n indexName: tableName,\n schemaName: getSchemaName(this.schemaName),\n });\n\n const sql = `UPDATE ${tableName_} SET ${setColumns.join(', ')} WHERE ${whereConditions.join(' AND ')}`;\n const values = [...setValues, ...whereValues];\n\n await client.none(sql, values);\n }\n}\n","import type { DatasetTenancyFilters, ExperimentTenancyFilters, StorageColumn, TABLE_NAMES } from '@mastra/core/storage';\nimport { TABLE_SCHEMAS } from '@mastra/core/storage';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\n\nexport function getSchemaName(schema?: string) {\n return schema ? `\"${parseSqlIdentifier(schema, 'schema name')}\"` : undefined;\n}\n\nexport function getTableName({ indexName, schemaName }: { indexName: string; schemaName?: string }) {\n const parsedIndexName = parseSqlIdentifier(indexName, 'index name');\n const quotedIndexName = `\"${parsedIndexName}\"`;\n const quotedSchemaName = schemaName;\n return quotedSchemaName ? `${quotedSchemaName}.${quotedIndexName}` : quotedIndexName;\n}\n\n/**\n * Prepare WHERE clause for PostgreSQL queries\n */\nexport function prepareWhereClause(\n filters: Record,\n _schema?: Record,\n): { sql: string; args: any[] } {\n const conditions: string[] = [];\n const args: any[] = [];\n let paramIndex = 1;\n\n Object.entries(filters).forEach(([key, value]) => {\n if (value === undefined) return;\n\n // Handle special operators\n if (key.endsWith('_gte')) {\n const fieldName = key.slice(0, -4);\n conditions.push(`\"${parseSqlIdentifier(fieldName, 'field name')}\" >= $${paramIndex++}`);\n args.push(value instanceof Date ? value.toISOString() : value);\n } else if (key.endsWith('_lte')) {\n const fieldName = key.slice(0, -4);\n conditions.push(`\"${parseSqlIdentifier(fieldName, 'field name')}\" <= $${paramIndex++}`);\n args.push(value instanceof Date ? value.toISOString() : value);\n } else if (value === null) {\n conditions.push(`\"${parseSqlIdentifier(key, 'field name')}\" IS NULL`);\n } else {\n conditions.push(`\"${parseSqlIdentifier(key, 'field name')}\" = $${paramIndex++}`);\n args.push(value instanceof Date ? value.toISOString() : value);\n }\n });\n\n return {\n sql: conditions.length > 0 ? ` WHERE ${conditions.join(' AND ')}` : '',\n args,\n };\n}\n\n/**\n * Resilient JSON parser for values read from PostgreSQL jsonb columns.\n *\n * The `pg` driver auto-deserialises jsonb columns, so:\n * - jsonb object → JS object (already parsed, just return it)\n * - jsonb array → JS array (already parsed, just return it)\n * - jsonb scalar string `\"x\"` → bare JS string `\"x\"` (NOT valid JSON to re-parse)\n * - jsonb null → JS null\n *\n * Calling `JSON.parse` on a bare scalar like `\"google/gemini-3-flash\"` throws,\n * which combined with fail-fast `.map(parseRow)` in list methods crashes the\n * entire listing endpoint when a single row contains a jsonb scalar. This\n * helper falls back to returning the raw value so callers get the same scalar\n * the driver materialised.\n *\n * See https://github.com/mastra-ai/mastra/issues/16224.\n */\nexport function parseJsonResilient(value: any, _fieldName?: string): any {\n if (value == null) return undefined;\n if (typeof value !== 'string') return value;\n\n try {\n return JSON.parse(value);\n } catch {\n return value;\n }\n}\n\n/**\n * Transform SQL row to record format, handling JSON columns\n */\nexport function transformFromSqlRow({\n tableName,\n sqlRow,\n}: {\n tableName: TABLE_NAMES;\n sqlRow: Record;\n}): T {\n const schema = TABLE_SCHEMAS[tableName];\n const result: Record = {};\n\n Object.entries(sqlRow).forEach(([key, value]) => {\n const columnSchema = schema?.[key];\n\n // Handle JSON columns\n if (columnSchema?.type === 'jsonb' && typeof value === 'string') {\n try {\n result[key] = JSON.parse(value);\n } catch {\n result[key] = value;\n }\n }\n // Handle Date columns\n // Handle Date columns - convert to Date objects for timestamp columns\n else if (columnSchema?.type === 'timestamp' && value && typeof value === 'string') {\n result[key] = new Date(value);\n } else if (columnSchema?.type === 'timestamp' && value instanceof Date) {\n result[key] = value;\n }\n // Handle boolean columns\n else if (columnSchema?.type === 'boolean') {\n result[key] = Boolean(value);\n } else {\n result[key] = value;\n }\n });\n\n return result as T;\n}\n\n/**\n * Tenancy scope shape shared by domains that carry `organizationId` / `projectId`\n * columns (datasets, experiments, ...). Aliases the core tenancy filter types so\n * this helper stays in sync if the core shape ever changes.\n */\nexport type TenancyScope = DatasetTenancyFilters | ExperimentTenancyFilters;\n\n/**\n * Build additional `AND \"col\" = $N` conditions for a tenancy read-scope filter.\n * Uses double-quoted PG identifiers and continues numbering from `startIndex`.\n * Returns empty arrays and unchanged `nextIndex` when no filters apply.\n *\n * Shared across domains (datasets, experiments, ...) so tenancy predicates stay\n * consistent and cross-tenant reads/deletes do not leak.\n */\nexport function tenancyWhere(\n filters: TenancyScope | undefined,\n startIndex: number,\n): { conditions: string[]; params: any[]; nextIndex: number } {\n const conditions: string[] = [];\n const params: any[] = [];\n let idx = startIndex;\n if (filters?.organizationId !== undefined) {\n conditions.push(`\"organizationId\" = $${idx++}`);\n params.push(filters.organizationId);\n }\n if (filters?.projectId !== undefined) {\n conditions.push(`\"projectId\" = $${idx++}`);\n params.push(filters.projectId);\n }\n return { conditions, params, nextIndex: idx };\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport {\n AgentsStorage,\n createStorageErrorId,\n normalizePerPage,\n calculatePagination,\n TABLE_AGENTS,\n TABLE_AGENT_VERSIONS,\n TABLE_SCHEMAS,\n TABLE_FAVORITES,\n} from '@mastra/core/storage';\nimport type {\n StorageAgentType,\n StorageCreateAgentInput,\n StorageUpdateAgentInput,\n StorageListAgentsInput,\n StorageListAgentsOutput,\n CreateIndexOptions,\n AgentInstructionBlock,\n} from '@mastra/core/storage';\nimport type {\n AgentVersion,\n CreateVersionInput,\n ListVersionsInput,\n ListVersionsOutput,\n} from '@mastra/core/storage/domains/agents';\nimport { PgDB, resolvePgConfig, generateTableSQL } from '../../db';\nimport type { DbClient, PgDomainConfig } from '../../db';\nimport { getTableName, getSchemaName, parseJsonResilient } from '../utils';\n\nexport class AgentsPG extends AgentsStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n /** Tables managed by this domain */\n static readonly MANAGED_TABLES = [TABLE_AGENTS, TABLE_AGENT_VERSIONS] as const;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n // Filter indexes to only those for tables managed by this domain\n this.#indexes = indexes?.filter(idx => (AgentsPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n /**\n * Returns all DDL statements for this domain: tables.\n * Used by exportSchemas to produce a complete, reproducible schema export.\n */\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n\n // Tables\n for (const tableName of AgentsPG.MANAGED_TABLES) {\n statements.push(\n generateTableSQL({\n tableName,\n schema: TABLE_SCHEMAS[tableName],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n }\n\n return statements;\n }\n\n /**\n * Returns default index definitions for the agents domain tables.\n * Currently no default indexes are defined for agents.\n */\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n return [];\n }\n\n /**\n * Creates default indexes for optimal query performance.\n * Currently no default indexes are defined for agents.\n */\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) {\n return;\n }\n // No default indexes for agents domain\n }\n\n async init(): Promise {\n // Migrate from legacy schemas before creating tables\n await this.#migrateFromLegacySchema();\n await this.#migrateVersionsSchema();\n\n await this.#db.createTable({ tableName: TABLE_AGENTS, schema: TABLE_SCHEMAS[TABLE_AGENTS] });\n await this.#db.createTable({ tableName: TABLE_AGENT_VERSIONS, schema: TABLE_SCHEMAS[TABLE_AGENT_VERSIONS] });\n // Add new columns for backwards compatibility with intermediate schema versions\n await this.#db.alterTable({\n tableName: TABLE_AGENTS,\n schema: TABLE_SCHEMAS[TABLE_AGENTS],\n ifNotExists: ['status', 'authorId', 'visibility', 'favoriteCount'],\n });\n await this.#db.alterTable({\n tableName: TABLE_AGENT_VERSIONS,\n schema: TABLE_SCHEMAS[TABLE_AGENT_VERSIONS],\n ifNotExists: [\n 'mcpClients',\n 'requestContextSchema',\n 'workspace',\n 'skills',\n 'skillsFormat',\n 'durable',\n 'browser',\n 'toolProviders',\n ],\n });\n\n // Migrate tools field from string[] to JSONB format\n await this.#migrateToolsToJsonbFormat();\n\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n\n // Clean up any stale draft records from previously failed createAgent calls\n await this.#cleanupStaleDrafts();\n }\n\n /**\n * Migrates from the legacy flat agent schema (where config fields like name, instructions, model\n * were stored directly on mastra_agents) to the new versioned schema (thin agent record + versions table).\n */\n async #migrateFromLegacySchema(): Promise {\n const fullTableName = getTableName({ indexName: TABLE_AGENTS, schemaName: getSchemaName(this.#schema) });\n const fullVersionsTableName = getTableName({\n indexName: TABLE_AGENT_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const legacyTableName = getTableName({\n indexName: `${TABLE_AGENTS}_legacy`,\n schemaName: getSchemaName(this.#schema),\n });\n\n const hasLegacyColumns = await this.#db.hasColumn(TABLE_AGENTS, 'name');\n\n if (hasLegacyColumns) {\n // Current table has legacy schema — rename it and drop old versions table.\n // Raw DDL bypasses the snapshot-maintaining createTable/alterTable paths,\n // so each statement reports itself to the init snapshot: otherwise the\n // createTable() calls below would skip rebuilding the tables this just\n // renamed away or dropped.\n await this.#db.client.none(`ALTER TABLE ${fullTableName} RENAME TO \"${TABLE_AGENTS}_legacy\"`);\n this.#db.noteTableRenamed(TABLE_AGENTS, `${TABLE_AGENTS}_legacy`);\n await this.#db.client.none(`DROP TABLE IF EXISTS ${fullVersionsTableName}`);\n this.#db.noteTableDropped(TABLE_AGENT_VERSIONS);\n }\n\n // Check if legacy table exists (either just renamed, or left behind by a previous partial migration)\n const legacyExists = await this.#db.hasColumn(`${TABLE_AGENTS}_legacy`, 'name');\n if (!legacyExists) return;\n\n // Read all existing agents from the legacy table\n const oldAgents = await this.#db.client.manyOrNone(`SELECT * FROM ${legacyTableName}`);\n\n // Create new tables (IF NOT EXISTS handles idempotency on resume)\n await this.#db.createTable({ tableName: TABLE_AGENTS, schema: TABLE_SCHEMAS[TABLE_AGENTS] });\n await this.#db.createTable({ tableName: TABLE_AGENT_VERSIONS, schema: TABLE_SCHEMAS[TABLE_AGENT_VERSIONS] });\n\n // ON CONFLICT DO NOTHING makes inserts safe for resumed partial migrations\n for (const row of oldAgents) {\n const agentId = row.id as string;\n if (!agentId) continue;\n\n const versionId = crypto.randomUUID();\n const now = new Date();\n\n await this.#db.client.none(\n `INSERT INTO ${fullTableName} (id, status, \"activeVersionId\", \"authorId\", metadata, \"createdAt\", \"updatedAt\")\n VALUES ($1, $2, $3, $4, $5, $6, $7)\n ON CONFLICT (id) DO NOTHING`,\n [\n agentId,\n 'published',\n versionId,\n row.ownerId ?? row.authorId ?? null,\n row.metadata ? JSON.stringify(row.metadata) : null,\n row.createdAt ?? now,\n row.updatedAt ?? now,\n ],\n );\n\n await this.#db.client.none(\n `INSERT INTO ${fullVersionsTableName}\n (id, \"agentId\", \"versionNumber\", name, description, instructions, model, tools,\n \"defaultOptions\", workflows, agents, \"integrationTools\", \"toolProviders\", \"inputProcessors\",\n \"outputProcessors\", memory, scorers, \"changedFields\", \"changeMessage\", \"createdAt\")\n VALUES ($1,$2,$3,$4,$5,$6,$7,$8,$9,$10,$11,$12,$13,$14,$15,$16,$17,$18,$19,$20)\n ON CONFLICT (id) DO NOTHING`,\n [\n versionId,\n agentId,\n 1,\n row.name ?? agentId,\n row.description ?? null,\n this.serializeInstructions(row.instructions ?? ''),\n row.model ? JSON.stringify(row.model) : '{}',\n row.tools ? JSON.stringify(row.tools) : null,\n row.defaultOptions ? JSON.stringify(row.defaultOptions) : null,\n row.workflows ? JSON.stringify(row.workflows) : null,\n row.agents ? JSON.stringify(row.agents) : null,\n row.integrationTools ? JSON.stringify(row.integrationTools) : null,\n row.toolProviders ? JSON.stringify(row.toolProviders) : null,\n row.inputProcessors ? JSON.stringify(row.inputProcessors) : null,\n row.outputProcessors ? JSON.stringify(row.outputProcessors) : null,\n row.memory ? JSON.stringify(row.memory) : null,\n row.scorers ? JSON.stringify(row.scorers) : null,\n null,\n 'Migrated from legacy schema',\n row.createdAt ?? now,\n ],\n );\n }\n\n // Drop legacy table only after all inserts succeed\n await this.#db.client.none(`DROP TABLE IF EXISTS ${legacyTableName}`);\n this.#db.noteTableDropped(`${TABLE_AGENTS}_legacy`);\n }\n\n /**\n * Migrates the agent_versions table from the old snapshot-based schema (single `snapshot` JSON column)\n * to the new flat schema (individual config columns). This handles the case where the agents table\n * was already migrated but the versions table still has the old schema.\n */\n async #migrateVersionsSchema(): Promise {\n const hasSnapshotColumn = await this.#db.hasColumn(TABLE_AGENT_VERSIONS, 'snapshot');\n if (!hasSnapshotColumn) return;\n\n const fullVersionsTableName = getTableName({\n indexName: TABLE_AGENT_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const legacyTableName = getTableName({\n indexName: `${TABLE_AGENTS}_legacy`,\n schemaName: getSchemaName(this.#schema),\n });\n\n // Drop the old versions table - the new schema will be created by init(),\n // which only happens if the snapshot reflects the drop.\n await this.#db.client.none(`DROP TABLE IF EXISTS ${fullVersionsTableName}`);\n this.#db.noteTableDropped(TABLE_AGENT_VERSIONS);\n\n // Also clean up any lingering legacy table from a partial migration\n await this.#db.client.none(`DROP TABLE IF EXISTS ${legacyTableName}`);\n this.#db.noteTableDropped(`${TABLE_AGENTS}_legacy`);\n }\n\n /**\n * Migrates the tools field from string[] format to JSONB format { \"tool-key\": { \"description\": \"...\" } }.\n * This handles the transition from the old format where tools were stored as an array of string keys\n * to the new format where tools can have per-agent description overrides.\n */\n async #migrateToolsToJsonbFormat(): Promise {\n const fullVersionsTableName = getTableName({\n indexName: TABLE_AGENT_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n\n try {\n // Check if any records have tools stored as a JSON array\n const recordsWithArrayTools = await this.#db.client.any(\n `SELECT id, tools FROM ${fullVersionsTableName} \n WHERE tools IS NOT NULL \n AND jsonb_typeof(tools) = 'array'`,\n );\n\n if (recordsWithArrayTools.length === 0) {\n return; // No migration needed\n }\n\n // Convert each record's tools from array to object format\n for (const record of recordsWithArrayTools) {\n const toolsArray = record.tools as string[];\n const toolsObject: Record = {};\n\n // Convert each tool string to an object key with empty config\n for (const toolKey of toolsArray) {\n toolsObject[toolKey] = {};\n }\n\n // Update the record with the new format\n await this.#db.client.none(\n `UPDATE ${fullVersionsTableName} \n SET tools = $1::jsonb \n WHERE id = $2`,\n [JSON.stringify(toolsObject), record.id],\n );\n }\n\n this.logger?.info?.(\n `Migrated ${recordsWithArrayTools.length} agent version(s) tools from array to object format`,\n );\n } catch (error) {\n // Log but don't fail - this is a non-breaking migration\n this.logger?.warn?.('Failed to migrate tools to JSONB format:', error);\n }\n }\n\n /**\n * Removes stale draft agent records that have no versions at all.\n * These are left behind when createAgent partially fails (inserts thin record\n * but fails to create the version due to schema mismatch).\n *\n * A legitimate draft (never published) will have rows in the versions table,\n * so we must only delete records with zero associated versions.\n */\n async #cleanupStaleDrafts(): Promise {\n try {\n const agentsTable = getTableName({ indexName: TABLE_AGENTS, schemaName: getSchemaName(this.#schema) });\n const versionsTable = getTableName({\n indexName: TABLE_AGENT_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(\n `DELETE FROM ${agentsTable} a\n WHERE a.status = 'draft'\n AND a.\"activeVersionId\" IS NULL\n AND NOT EXISTS (\n SELECT 1 FROM ${versionsTable} v WHERE v.\"agentId\" = a.id\n )`,\n );\n } catch {\n // Non-critical cleanup, ignore errors\n }\n }\n\n /**\n * Creates custom user-defined indexes for this domain's tables.\n */\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) {\n return;\n }\n\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n // Log but continue - indexes are performance optimizations\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_AGENT_VERSIONS });\n await this.#db.clearTable({ tableName: TABLE_AGENTS });\n }\n\n private parseRow(row: any): StorageAgentType {\n return {\n id: row.id as string,\n status: row.status as 'draft' | 'published' | 'archived',\n activeVersionId: row.activeVersionId as string | undefined,\n authorId: row.authorId as string | undefined,\n visibility: (row.visibility as 'private' | 'public' | undefined) ?? undefined,\n metadata: parseJsonResilient(row.metadata, 'metadata'),\n favoriteCount: row.favoriteCount === null || row.favoriteCount === undefined ? 0 : Number(row.favoriteCount),\n createdAt: row.createdAtZ || row.createdAt,\n updatedAt: row.updatedAtZ || row.updatedAt,\n };\n }\n\n async getById(id: string): Promise {\n return this.#getById(this.#db.readClient, id);\n }\n\n /**\n * Same lookup against an explicit client. Mutation paths pass the writer so a\n * lagging read replica cannot yield stale or missing rows mid-update.\n */\n async #getById(client: DbClient, id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_AGENTS, schemaName: getSchemaName(this.#schema) });\n\n const result = await client.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [id]);\n\n if (!result) {\n return null;\n }\n\n return this.parseRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_AGENT_BY_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { agentId: id },\n },\n error,\n );\n }\n }\n\n async create(input: { agent: StorageCreateAgentInput }): Promise {\n const { agent } = input;\n try {\n const agentsTable = getTableName({ indexName: TABLE_AGENTS, schemaName: getSchemaName(this.#schema) });\n const now = new Date();\n const nowIso = now.toISOString();\n\n // Default visibility to 'private' for owned agents; leave null for unowned/legacy rows\n const visibility = agent.visibility ?? (agent.authorId ? 'private' : null);\n\n // 1. Create the thin agent record with status='draft' and activeVersionId=null\n await this.#db.client.none(\n `INSERT INTO ${agentsTable} (\n id, status, \"authorId\", visibility, metadata, \"favoriteCount\",\n \"activeVersionId\",\n \"createdAt\", \"createdAtZ\", \"updatedAt\", \"updatedAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11)`,\n [\n agent.id,\n 'draft',\n agent.authorId ?? null,\n visibility,\n agent.metadata ? JSON.stringify(agent.metadata) : null,\n 0,\n null, // activeVersionId starts as null\n nowIso,\n nowIso,\n nowIso,\n nowIso,\n ],\n );\n\n // 2. Extract config fields from the flat input\n const { id: _id, authorId: _authorId, visibility: _visibility, metadata: _metadata, ...snapshotConfig } = agent;\n\n // Create version 1 from the config\n const versionId = crypto.randomUUID();\n await this.createVersion({\n id: versionId,\n agentId: agent.id,\n versionNumber: 1,\n ...snapshotConfig,\n changedFields: Object.keys(snapshotConfig),\n changeMessage: 'Initial version',\n });\n\n // 3. Return the thin agent record (activeVersionId remains null)\n return {\n id: agent.id,\n status: 'draft',\n activeVersionId: undefined,\n authorId: agent.authorId,\n visibility: visibility ?? undefined,\n metadata: agent.metadata,\n favoriteCount: 0,\n createdAt: now,\n updatedAt: now,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n // Best-effort cleanup to prevent orphaned draft records\n try {\n const agentsTable = getTableName({ indexName: TABLE_AGENTS, schemaName: getSchemaName(this.#schema) });\n await this.#db.client.none(\n `DELETE FROM ${agentsTable} WHERE id = $1 AND status = 'draft' AND \"activeVersionId\" IS NULL`,\n [agent.id],\n );\n } catch {\n // Ignore cleanup errors\n }\n\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_AGENT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { agentId: agent.id },\n },\n error,\n );\n }\n }\n\n async update(input: StorageUpdateAgentInput): Promise {\n const { id, ...updates } = input;\n try {\n const tableName = getTableName({ indexName: TABLE_AGENTS, schemaName: getSchemaName(this.#schema) });\n\n // First, get the existing agent\n const existingAgent = await this.#getById(this.#db.client, id);\n if (!existingAgent) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_AGENT', 'NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: `Agent ${id} not found`,\n details: { agentId: id },\n });\n }\n\n const { authorId, activeVersionId, metadata, status, visibility } = updates;\n\n // Update metadata fields on the agent record\n const setClauses: string[] = [];\n const values: any[] = [];\n let paramIndex = 1;\n\n if (authorId !== undefined) {\n setClauses.push(`\"authorId\" = $${paramIndex++}`);\n values.push(authorId);\n }\n\n if (activeVersionId !== undefined) {\n setClauses.push(`\"activeVersionId\" = $${paramIndex++}`);\n values.push(activeVersionId);\n // Do NOT automatically set status='published' when activeVersionId is updated\n }\n\n if (status !== undefined) {\n setClauses.push(`status = $${paramIndex++}`);\n values.push(status);\n }\n\n if (visibility !== undefined) {\n setClauses.push(`visibility = $${paramIndex++}`);\n values.push(visibility);\n }\n\n if (metadata !== undefined) {\n // REPLACE metadata (not merge) - this is standard DB behavior\n setClauses.push(`metadata = $${paramIndex++}`);\n values.push(JSON.stringify(metadata));\n }\n\n // Always update the updatedAt timestamp\n const now = new Date().toISOString();\n setClauses.push(`\"updatedAt\" = $${paramIndex++}`);\n values.push(now);\n setClauses.push(`\"updatedAtZ\" = $${paramIndex++}`);\n values.push(now);\n\n // Add the ID for the WHERE clause\n values.push(id);\n\n // Always update the record (at minimum updatedAt/updatedAtZ are set)\n await this.#db.client.none(`UPDATE ${tableName} SET ${setClauses.join(', ')} WHERE id = $${paramIndex}`, values);\n\n // Return the updated agent\n const updatedAgent = await this.#getById(this.#db.client, id);\n if (!updatedAgent) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_AGENT', 'NOT_FOUND_AFTER_UPDATE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.SYSTEM,\n text: `Agent ${id} not found after update`,\n details: { agentId: id },\n });\n }\n\n return updatedAgent;\n } catch (error) {\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_AGENT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { agentId: id },\n },\n error,\n );\n }\n }\n\n async delete(id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_AGENTS, schemaName: getSchemaName(this.#schema) });\n\n // Delete all versions for this agent first\n await this.deleteVersionsByParentId(id);\n\n // Then delete the agent\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE id = $1`, [id]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_AGENT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { agentId: id },\n },\n error,\n );\n }\n }\n\n async list(args?: StorageListAgentsInput): Promise {\n const {\n page = 0,\n perPage: perPageInput,\n orderBy,\n authorId,\n metadata,\n status,\n visibility,\n entityIds,\n pinFavoritedFor,\n favoritedOnly,\n } = args || {};\n const { field, direction } = this.parseOrderBy(orderBy);\n\n if (page < 0) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_AGENTS', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { page },\n },\n new Error('page must be >= 0'),\n );\n }\n\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n try {\n // Empty entityIds is short-circuit: no rows possible.\n if (entityIds && entityIds.length === 0) {\n return {\n agents: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const tableName = getTableName({ indexName: TABLE_AGENTS, schemaName: getSchemaName(this.#schema) });\n const favoritesTable = getTableName({ indexName: TABLE_FAVORITES, schemaName: getSchemaName(this.#schema) });\n\n // Build WHERE conditions (referenced via alias `a`).\n const conditions: string[] = [];\n const queryParams: any[] = [];\n let paramIdx = 1;\n\n // JOIN params come first in the query, but we build WHERE first and prepend later.\n const joinUserId = pinFavoritedFor;\n const useJoin = Boolean(joinUserId);\n let joinSqlIdx: number | null = null;\n if (useJoin) {\n joinSqlIdx = paramIdx++;\n }\n\n if (status) {\n conditions.push(`a.status = $${paramIdx++}`);\n queryParams.push(status);\n }\n\n if (authorId !== undefined) {\n conditions.push(`a.\"authorId\" = $${paramIdx++}`);\n queryParams.push(authorId);\n }\n\n if (visibility !== undefined) {\n conditions.push(`a.visibility = $${paramIdx++}`);\n queryParams.push(visibility);\n }\n\n if (metadata && Object.keys(metadata).length > 0) {\n conditions.push(`a.metadata @> $${paramIdx++}::jsonb`);\n queryParams.push(JSON.stringify(metadata));\n }\n\n if (entityIds && entityIds.length > 0) {\n const placeholders = entityIds.map(() => `$${paramIdx++}`).join(', ');\n conditions.push(`a.id IN (${placeholders})`);\n queryParams.push(...entityIds);\n }\n\n if (useJoin && favoritedOnly) {\n conditions.push('s.\"userId\" IS NOT NULL');\n } else if (favoritedOnly) {\n // Defensive: favoritedOnly with no userId can never match a real row.\n conditions.push('1=0');\n }\n\n const joinClause =\n useJoin && joinSqlIdx !== null\n ? `LEFT JOIN ${favoritesTable} s ON s.\"entityType\" = 'agent' AND s.\"entityId\" = a.id AND s.\"userId\" = $${joinSqlIdx}`\n : '';\n const joinParams: any[] = useJoin && joinUserId ? [joinUserId] : [];\n\n const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';\n\n // Total count (mirrors join + where, no ORDER BY / LIMIT).\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} a ${joinClause} ${whereClause}`,\n [...joinParams, ...queryParams],\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return {\n agents: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n // Compose ORDER BY: favorited-first when JOIN active, then existing field, then id ASC tie-break.\n const orderByParts: string[] = [];\n if (useJoin) {\n orderByParts.push(`(s.\"userId\" IS NOT NULL) DESC`);\n }\n orderByParts.push(`a.\"${field}\" ${direction}`);\n orderByParts.push(`a.\"id\" ASC`);\n const orderByClause = `ORDER BY ${orderByParts.join(', ')}`;\n\n const limitValue = perPageInput === false ? total : perPage;\n const limitIdx = paramIdx++;\n const offsetIdx = paramIdx++;\n const dataResult = await this.#db.readClient.manyOrNone(\n `SELECT a.* FROM ${tableName} a ${joinClause} ${whereClause} ${orderByClause} LIMIT $${limitIdx} OFFSET $${offsetIdx}`,\n [...joinParams, ...queryParams, limitValue, offset],\n );\n\n const agents = (dataResult || []).flatMap(row => {\n try {\n return [this.parseRow(row)];\n } catch (err) {\n this.logger?.warn?.('[PG] Failed to map agent row, skipping', { id: row?.id, error: err });\n return [];\n }\n });\n\n return {\n agents,\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_AGENTS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n // ==========================================================================\n // Agent Version Methods\n // ==========================================================================\n\n async createVersion(input: CreateVersionInput): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_AGENT_VERSIONS, schemaName: getSchemaName(this.#schema) });\n const now = new Date();\n const nowIso = now.toISOString();\n\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, \"agentId\", \"versionNumber\",\n name, description, instructions, model, tools,\n \"defaultOptions\", workflows, agents, \"integrationTools\", \"toolProviders\",\n \"inputProcessors\", \"outputProcessors\", memory, scorers,\n \"mcpClients\", \"requestContextSchema\", workspace, skills, \"skillsFormat\",\n durable, browser,\n \"changedFields\", \"changeMessage\",\n \"createdAt\", \"createdAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28)`,\n [\n input.id,\n input.agentId,\n input.versionNumber,\n input.name,\n input.description ?? null,\n this.serializeInstructions(input.instructions),\n JSON.stringify(input.model),\n input.tools ? JSON.stringify(input.tools) : null,\n input.defaultOptions ? JSON.stringify(input.defaultOptions) : null,\n input.workflows ? JSON.stringify(input.workflows) : null,\n input.agents ? JSON.stringify(input.agents) : null,\n input.integrationTools ? JSON.stringify(input.integrationTools) : null,\n input.toolProviders ? JSON.stringify(input.toolProviders) : null,\n input.inputProcessors ? JSON.stringify(input.inputProcessors) : null,\n input.outputProcessors ? JSON.stringify(input.outputProcessors) : null,\n input.memory ? JSON.stringify(input.memory) : null,\n input.scorers ? JSON.stringify(input.scorers) : null,\n input.mcpClients ? JSON.stringify(input.mcpClients) : null,\n input.requestContextSchema ? JSON.stringify(input.requestContextSchema) : null,\n input.workspace ? JSON.stringify(input.workspace) : null,\n input.skills ? JSON.stringify(input.skills) : null,\n input.skillsFormat ?? null,\n input.durable !== undefined ? JSON.stringify(input.durable) : null,\n input.browser ? JSON.stringify(input.browser) : null,\n input.changedFields ? JSON.stringify(input.changedFields) : null,\n input.changeMessage ?? null,\n nowIso,\n nowIso,\n ],\n );\n\n return {\n ...input,\n createdAt: now,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: input.id, agentId: input.agentId },\n },\n error,\n );\n }\n }\n\n async getVersion(id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_AGENT_VERSIONS, schemaName: getSchemaName(this.#schema) });\n const result = await this.#db.readClient.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [id]);\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: id },\n },\n error,\n );\n }\n }\n\n async getVersions(ids: string[]): Promise {\n if (ids.length === 0) {\n return [];\n }\n try {\n const tableName = getTableName({ indexName: TABLE_AGENT_VERSIONS, schemaName: getSchemaName(this.#schema) });\n const placeholders = ids.map((_, i) => `$${i + 1}`).join(', ');\n const rows = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE id IN (${placeholders})`,\n ids,\n );\n return rows.map(row => this.parseVersionRow(row));\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { count: ids.length },\n },\n error,\n );\n }\n }\n\n async getVersionByNumber(agentId: string, versionNumber: number): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_AGENT_VERSIONS, schemaName: getSchemaName(this.#schema) });\n const result = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"agentId\" = $1 AND \"versionNumber\" = $2`,\n [agentId, versionNumber],\n );\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_VERSION_BY_NUMBER', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { agentId, versionNumber },\n },\n error,\n );\n }\n }\n\n async getLatestVersion(agentId: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_AGENT_VERSIONS, schemaName: getSchemaName(this.#schema) });\n const result = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"agentId\" = $1 ORDER BY \"versionNumber\" DESC LIMIT 1`,\n [agentId],\n );\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_LATEST_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { agentId },\n },\n error,\n );\n }\n }\n\n async listVersions(input: ListVersionsInput): Promise {\n const { agentId, page = 0, perPage: perPageInput, orderBy } = input;\n\n if (page < 0) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_VERSIONS', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { page },\n },\n new Error('page must be >= 0'),\n );\n }\n\n const perPage = normalizePerPage(perPageInput, 20);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n try {\n const { field, direction } = this.parseVersionOrderBy(orderBy);\n const tableName = getTableName({ indexName: TABLE_AGENT_VERSIONS, schemaName: getSchemaName(this.#schema) });\n\n // Get total count\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} WHERE \"agentId\" = $1`,\n [agentId],\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return {\n versions: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n // Get paginated results\n const limitValue = perPageInput === false ? total : perPage;\n const dataResult = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE \"agentId\" = $1 ORDER BY \"${field}\" ${direction} LIMIT $2 OFFSET $3`,\n [agentId, limitValue, offset],\n );\n\n const versions = (dataResult || []).flatMap(row => {\n try {\n return [this.parseVersionRow(row)];\n } catch (err) {\n this.logger?.warn?.('[PG] Failed to map agent version row, skipping', { id: row?.id, error: err });\n return [];\n }\n });\n\n return {\n versions,\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { agentId },\n },\n error,\n );\n }\n }\n\n async deleteVersion(id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_AGENT_VERSIONS, schemaName: getSchemaName(this.#schema) });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE id = $1`, [id]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: id },\n },\n error,\n );\n }\n }\n\n async deleteVersionsByParentId(entityId: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_AGENT_VERSIONS, schemaName: getSchemaName(this.#schema) });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE \"agentId\" = $1`, [entityId]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_VERSIONS_BY_AGENT_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { agentId: entityId },\n },\n error,\n );\n }\n }\n\n async countVersions(agentId: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_AGENT_VERSIONS, schemaName: getSchemaName(this.#schema) });\n const result = await this.#db.readClient.one(`SELECT COUNT(*) as count FROM ${tableName} WHERE \"agentId\" = $1`, [\n agentId,\n ]);\n return parseInt(result.count, 10);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'COUNT_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { agentId },\n },\n error,\n );\n }\n }\n\n // ==========================================================================\n // Private Helper Methods\n // ==========================================================================\n\n private serializeInstructions(instructions: string | AgentInstructionBlock[] | undefined | null): string | undefined {\n if (instructions == null) return undefined;\n return Array.isArray(instructions) ? JSON.stringify(instructions) : instructions;\n }\n\n private deserializeInstructions(raw: string | null | undefined): string | AgentInstructionBlock[] {\n if (!raw) return '';\n try {\n const parsed = JSON.parse(raw);\n if (Array.isArray(parsed)) return parsed as AgentInstructionBlock[];\n } catch {\n // Not JSON — plain string\n }\n return raw;\n }\n\n private parseVersionRow(row: any): AgentVersion {\n return {\n id: row.id as string,\n agentId: row.agentId as string,\n versionNumber: row.versionNumber as number,\n name: row.name as string,\n description: row.description as string | undefined,\n instructions: this.deserializeInstructions(row.instructions as string),\n model: parseJsonResilient(row.model, 'model'),\n tools: parseJsonResilient(row.tools, 'tools'),\n defaultOptions: parseJsonResilient(row.defaultOptions, 'defaultOptions'),\n workflows: parseJsonResilient(row.workflows, 'workflows'),\n agents: parseJsonResilient(row.agents, 'agents'),\n integrationTools: parseJsonResilient(row.integrationTools, 'integrationTools'),\n toolProviders: parseJsonResilient(row.toolProviders, 'toolProviders'),\n inputProcessors: parseJsonResilient(row.inputProcessors, 'inputProcessors'),\n outputProcessors: parseJsonResilient(row.outputProcessors, 'outputProcessors'),\n memory: parseJsonResilient(row.memory, 'memory'),\n scorers: parseJsonResilient(row.scorers, 'scorers'),\n mcpClients: parseJsonResilient(row.mcpClients, 'mcpClients'),\n requestContextSchema: parseJsonResilient(row.requestContextSchema, 'requestContextSchema'),\n workspace: parseJsonResilient(row.workspace, 'workspace'),\n skills: parseJsonResilient(row.skills, 'skills'),\n skillsFormat: row.skillsFormat as 'xml' | 'json' | 'markdown' | undefined,\n durable: parseJsonResilient(row.durable, 'durable'),\n browser: parseJsonResilient(row.browser, 'browser'),\n changedFields: parseJsonResilient(row.changedFields, 'changedFields'),\n changeMessage: row.changeMessage as string | undefined,\n createdAt: row.createdAtZ || row.createdAt,\n };\n }\n}\n","import { parseDuration } from '@mastra/core/storage';\nimport type { TABLE_NAMES, PruneOptions, PruneResult, TableRetentionPolicy } from '@mastra/core/storage';\nimport type { PgDB } from './db';\n\nconst DEFAULT_BATCH_SIZE = 1000;\n\n/** One table to prune, resolved from a policy + the domain's descriptor. */\nexport interface PruneTarget {\n /** Physical table name. */\n table: TABLE_NAMES;\n /** Anchor column for the age comparison. */\n column: string;\n /**\n * How the anchor column stores time, which decides how the cutoff is bound:\n * - `timestamp` (default): a `Date` compared against a `timestamptz` column.\n * - `epoch-ms`: a raw millisecond number compared against a `bigint` column\n * (e.g. `schedules.triggers.actual_fire_at`).\n */\n anchorType: 'timestamp' | 'epoch-ms';\n /** Retention policy (maxAge + optional batchSize). */\n policy: TableRetentionPolicy;\n}\n\nasync function sleep(ms: number, signal?: AbortSignal): Promise {\n if (ms <= 0 || signal?.aborted) return;\n await new Promise(resolve => {\n const timer = setTimeout(() => {\n signal?.removeEventListener('abort', onAbort);\n resolve();\n }, ms);\n const onAbort = () => {\n clearTimeout(timer);\n resolve();\n };\n signal?.addEventListener('abort', onAbort, { once: true });\n });\n}\n\n/**\n * Convert a policy's `maxAge` into a cutoff bound matching the anchor's storage\n * type: a `Date` for `timestamptz` columns (pg compares timezone-aware), or a\n * raw millisecond number for `bigint` epoch-ms columns.\n */\nexport function cutoffFor(policy: TableRetentionPolicy, anchorType: 'timestamp' | 'epoch-ms', now = Date.now()) {\n const cutoffMs = now - parseDuration(policy.maxAge);\n return anchorType === 'epoch-ms' ? cutoffMs : new Date(cutoffMs);\n}\n\n/**\n * Run the bounded/cancellable batched-delete loop for a single logical target,\n * delegating the actual delete of up to `limit` rows to `deleteBatch`. Returns\n * `{ deleted, done }`; `done: false` means the loop stopped on a bound or the\n * abort signal and eligible rows may remain.\n */\nexport async function runBatchedDelete({\n deleteBatch,\n batchSize,\n options,\n}: {\n deleteBatch: (limit: number) => Promise;\n batchSize: number;\n options?: PruneOptions;\n}): Promise<{ deleted: number; done: boolean }> {\n // A non-positive batch size would make every batch delete 0 rows while never\n // reaching the drained exit (`affected < limit` is false for 0 < 0) — an\n // infinite loop. Reject it up front instead of spinning.\n if (!Number.isSafeInteger(batchSize) || batchSize <= 0) {\n throw new Error(`retention batchSize must be a positive integer; received ${batchSize}`);\n }\n\n let deleted = 0;\n let batches = 0;\n\n while (true) {\n if (options?.signal?.aborted) return { deleted, done: false };\n if (options?.maxBatches !== undefined && batches >= options.maxBatches) return { deleted, done: false };\n\n // Never delete past the per-call row cap.\n let limit = batchSize;\n if (options?.maxRows !== undefined) {\n const remaining = options.maxRows - deleted;\n if (remaining <= 0) return { deleted, done: false };\n limit = Math.min(limit, remaining);\n }\n\n const affected = await deleteBatch(limit);\n deleted += affected;\n batches += 1;\n\n // Fewer rows than asked for => drained of eligible rows.\n if (affected < limit) return { deleted, done: true };\n\n if (options?.pauseMs) {\n await sleep(options.pauseMs, options.signal);\n }\n }\n}\n\n/**\n * Runs the bounded, batched, cancellable delete loop for a set of tables in the\n * given order (callers pass children before parents for cascade-safe pruning),\n * and returns one {@link PruneResult} per table.\n *\n * The loop:\n * - deletes in chunks of `batchSize` (default 1000), each its own statement;\n * - stops a table's loop when a batch deletes fewer rows than requested (drained),\n * or when `maxBatches`/`maxRows` is hit, or the `signal` aborts — the latter\n * three leave `done: false` so the caller can resume;\n * - pauses `pauseMs` between batches when set, to avoid starving live traffic.\n *\n * `prune()` only deletes rows; it never reclaims disk. PostgreSQL reuses freed\n * space (dead tuples) via autovacuum on subsequent writes, so tables stop\n * growing. Returning disk to the OS (e.g. `VACUUM FULL`) is left to the operator.\n */\nexport async function runPrune({\n db,\n domain,\n targets,\n options,\n}: {\n db: PgDB;\n domain: string;\n targets: PruneTarget[];\n options?: PruneOptions;\n}): Promise {\n const results: PruneResult[] = [];\n const now = Date.now();\n\n for (const target of targets) {\n if (options?.signal?.aborted) {\n results.push({ domain, table: target.table, deleted: 0, done: false });\n continue;\n }\n\n const cutoff = cutoffFor(target.policy, target.anchorType, now);\n const batchSize = target.policy.batchSize ?? DEFAULT_BATCH_SIZE;\n\n const { deleted, done } = await runBatchedDelete({\n deleteBatch: limit => db.pruneBatch({ tableName: target.table, column: target.column, cutoff, limit }),\n batchSize,\n options,\n });\n\n results.push({ domain, table: target.table, deleted, done });\n }\n\n return results;\n}\n\n/**\n * Resolve a domain's `{ tableKey: policy }` map plus its descriptor into an\n * ordered list of {@link PruneTarget}s. `order` lists table keys children-first\n * so cascade-dependent rows are removed before their parents. Table keys not in\n * `policies` are skipped (unset = keep forever).\n */\nexport function resolveTargets({\n policies,\n descriptor,\n order,\n}: {\n policies: Record;\n descriptor: Record;\n order: string[];\n}): PruneTarget[] {\n const targets: PruneTarget[] = [];\n for (const key of order) {\n const policy = policies[key];\n const entry = descriptor[key];\n if (!policy || !entry) continue;\n targets.push({\n table: entry.table as TABLE_NAMES,\n column: entry.column,\n anchorType: entry.anchorType ?? 'timestamp',\n policy,\n });\n }\n return targets;\n}\n","import type {\n BackgroundTask,\n BackgroundTaskStatus,\n TaskFilter,\n TaskListResult,\n UpdateBackgroundTask,\n} from '@mastra/core/background-tasks';\nimport type {\n CreateIndexOptions,\n TABLE_NAMES,\n PruneOptions,\n PruneResult,\n RetentionTablesDescriptor,\n TableRetentionPolicy,\n} from '@mastra/core/storage';\nimport { BackgroundTasksStorage, TABLE_BACKGROUND_TASKS, TABLE_SCHEMAS } from '@mastra/core/storage';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport { PgDB, resolvePgConfig, generateTableSQL, generateIndexSQL } from '../../db';\nimport type { PgDomainConfig } from '../../db';\nimport { runPrune, resolveTargets } from '../../retention';\n\nfunction getSchemaName(schema?: string) {\n return schema ? `\"${schema}\"` : '\"public\"';\n}\n\nfunction getTableName(schemaName?: string) {\n const quoted = `\"${TABLE_BACKGROUND_TASKS}\"`;\n return schemaName ? `${schemaName}.${quoted}` : quoted;\n}\n\nfunction serializeJson(v: unknown): any {\n if (typeof v === 'object' && v != null) return JSON.stringify(v);\n return v ?? null;\n}\n\nfunction parseJson(v: unknown): any {\n if (typeof v === 'string') {\n try {\n return JSON.parse(v);\n } catch {\n return v;\n }\n }\n return v ?? undefined;\n}\n\n/** Convert a DB row (snake_case) to a BackgroundTask object (camelCase). */\nfunction rowToTask(row: Record): BackgroundTask {\n const createdAt = row.createdAtZ || row.createdAt;\n const startedAt = row.startedAtZ || row.startedAt;\n const suspendedAt = row.suspendedAtZ || row.suspendedAt;\n const completedAt = row.completedAtZ || row.completedAt;\n return {\n id: row.id,\n status: row.status as BackgroundTaskStatus,\n toolName: row.tool_name,\n toolCallId: row.tool_call_id,\n args: parseJson(row.args),\n agentId: row.agent_id,\n threadId: row.thread_id ?? undefined,\n resourceId: row.resource_id ?? undefined,\n runId: row.run_id,\n result: parseJson(row.result),\n error: parseJson(row.error),\n suspendPayload: parseJson(row.suspend_payload),\n retryCount: Number(row.retry_count),\n maxRetries: Number(row.max_retries),\n timeoutMs: Number(row.timeout_ms),\n createdAt: createdAt instanceof Date ? createdAt : new Date(createdAt),\n startedAt: startedAt ? (startedAt instanceof Date ? startedAt : new Date(startedAt)) : undefined,\n suspendedAt: suspendedAt ? (suspendedAt instanceof Date ? suspendedAt : new Date(suspendedAt)) : undefined,\n completedAt: completedAt ? (completedAt instanceof Date ? completedAt : new Date(completedAt)) : undefined,\n };\n}\n\nexport class BackgroundTasksPG extends BackgroundTasksStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n static readonly MANAGED_TABLES = [TABLE_BACKGROUND_TASKS] as const;\n\n /**\n * Completed background tasks accumulate as dead weight. Anchored on the\n * timezone-aware `completedAtZ` mirror column: NULL (in-flight) rows are\n * excluded automatically since `completedAtZ < cutoff` is false for NULL.\n */\n static override readonly retentionTables: RetentionTablesDescriptor = {\n backgroundTasks: { table: TABLE_BACKGROUND_TASKS, column: 'completedAtZ', indexed: true },\n };\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n this.#indexes = indexes?.filter(idx => (BackgroundTasksPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n async init(): Promise {\n await this.#db.createTable({\n tableName: TABLE_BACKGROUND_TASKS,\n schema: TABLE_SCHEMAS[TABLE_BACKGROUND_TASKS],\n });\n // Backfill columns added after the initial schema shipped.\n await this.#db.alterTable({\n tableName: TABLE_BACKGROUND_TASKS,\n schema: TABLE_SCHEMAS[TABLE_BACKGROUND_TASKS],\n ifNotExists: ['suspend_payload', 'suspendedAt'],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n /**\n * Lazily ensures a btree index exists on each configured policy's retention\n * anchor column so age-based `prune()` deletes stay fast on large tables.\n * Called from the prune path (not init) so only deployments that configure\n * retention pay the index's write/disk overhead. Best-effort: failures are\n * logged and pruning proceeds (correct, just slower).\n * Created even with `skipDefaultIndexes` — retention is an explicit opt-in,\n * so its supporting index is not part of the default index set.\n */\n private async ensureRetentionIndexes(policies: Record): Promise {\n const prefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n for (const [key, entry] of Object.entries(BackgroundTasksPG.retentionTables)) {\n if (!entry.indexed || !policies[key]) continue;\n try {\n await this.#db.ensureIndex({\n indexName: `${prefix}mastra_${key}_retention_idx`,\n tableName: entry.table as TABLE_NAMES,\n column: entry.column,\n });\n } catch (error) {\n this.logger?.warn?.(`Failed to create retention index for ${entry.table}:`, error);\n }\n }\n }\n\n /** Delete completed tasks older than the `backgroundTasks` policy's `maxAge`, batched. */\n async prune(policies: Record, options?: PruneOptions): Promise {\n await this.ensureRetentionIndexes(policies);\n const targets = resolveTargets({\n policies,\n descriptor: BackgroundTasksPG.retentionTables,\n order: ['backgroundTasks'],\n });\n return runPrune({ db: this.#db, domain: 'backgroundTasks', targets, options });\n }\n\n static getDefaultIndexDefs(schemaPrefix: string): CreateIndexOptions[] {\n return [\n {\n name: `${schemaPrefix}mastra_bg_tasks_status_created_at_idx`,\n table: TABLE_BACKGROUND_TASKS,\n columns: ['status', 'createdAt'],\n },\n {\n name: `${schemaPrefix}mastra_bg_tasks_agent_status_idx`,\n table: TABLE_BACKGROUND_TASKS,\n columns: ['agent_id', 'status'],\n },\n {\n name: `${schemaPrefix}mastra_bg_tasks_thread_idx`,\n table: TABLE_BACKGROUND_TASKS,\n columns: ['thread_id', 'createdAt'],\n },\n {\n name: `${schemaPrefix}mastra_bg_tasks_tool_call_idx`,\n table: TABLE_BACKGROUND_TASKS,\n columns: ['tool_call_id'],\n },\n ];\n }\n\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n const parsedSchema = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n const schemaPrefix = parsedSchema && parsedSchema !== 'public' ? `${parsedSchema}_` : '';\n\n statements.push(\n generateTableSQL({\n tableName: TABLE_BACKGROUND_TASKS,\n schema: TABLE_SCHEMAS[TABLE_BACKGROUND_TASKS],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n\n for (const idx of BackgroundTasksPG.getDefaultIndexDefs(schemaPrefix)) {\n statements.push(generateIndexSQL(idx, schemaName));\n }\n\n return statements;\n }\n\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return BackgroundTasksPG.getDefaultIndexDefs(schemaPrefix);\n }\n\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) return;\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create index ${indexDef.name}:`, error);\n }\n }\n }\n\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) return;\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_BACKGROUND_TASKS });\n }\n\n async createTask(task: BackgroundTask): Promise {\n await this.#db.insert({\n tableName: TABLE_BACKGROUND_TASKS,\n record: {\n id: task.id,\n tool_call_id: task.toolCallId,\n tool_name: task.toolName,\n agent_id: task.agentId,\n thread_id: task.threadId ?? null,\n resource_id: task.resourceId ?? null,\n run_id: task.runId,\n status: task.status,\n args: serializeJson(task.args),\n result: serializeJson(task.result),\n error: serializeJson(task.error),\n suspend_payload: serializeJson(task.suspendPayload),\n retry_count: task.retryCount,\n max_retries: task.maxRetries,\n timeout_ms: task.timeoutMs,\n createdAt: task.createdAt.toISOString(),\n createdAtZ: task.createdAt.toISOString(),\n startedAt: task.startedAt?.toISOString() ?? null,\n startedAtZ: task.startedAt?.toISOString() ?? null,\n suspendedAt: task.suspendedAt?.toISOString() ?? null,\n suspendedAtZ: task.suspendedAt?.toISOString() ?? null,\n completedAt: task.completedAt?.toISOString() ?? null,\n completedAtZ: task.completedAt?.toISOString() ?? null,\n },\n });\n }\n\n async updateTask(\n taskId: string,\n update: UpdateBackgroundTask,\n options?: { expectedStatus?: BackgroundTask['status'] },\n ): Promise {\n const setClauses: string[] = [];\n const params: any[] = [];\n let paramIdx = 1;\n\n if ('status' in update) {\n setClauses.push(`\"status\" = $${paramIdx++}`);\n params.push(update.status);\n }\n if ('result' in update) {\n setClauses.push(`\"result\" = $${paramIdx++}`);\n params.push(serializeJson(update.result));\n }\n if ('error' in update) {\n setClauses.push(`\"error\" = $${paramIdx++}`);\n params.push(serializeJson(update.error));\n }\n if ('suspendPayload' in update) {\n setClauses.push(`\"suspend_payload\" = $${paramIdx++}`);\n params.push(serializeJson(update.suspendPayload));\n }\n if ('retryCount' in update) {\n setClauses.push(`\"retry_count\" = $${paramIdx++}`);\n params.push(update.retryCount);\n }\n if ('startedAt' in update) {\n setClauses.push(`\"startedAt\" = $${paramIdx++}`);\n setClauses.push(`\"startedAtZ\" = $${paramIdx++}`);\n const val = update.startedAt?.toISOString() ?? null;\n params.push(val, val);\n }\n if ('suspendedAt' in update) {\n setClauses.push(`\"suspendedAt\" = $${paramIdx++}`);\n setClauses.push(`\"suspendedAtZ\" = $${paramIdx++}`);\n const val = update.suspendedAt?.toISOString() ?? null;\n params.push(val, val);\n }\n if ('completedAt' in update) {\n setClauses.push(`\"completedAt\" = $${paramIdx++}`);\n setClauses.push(`\"completedAtZ\" = $${paramIdx++}`);\n const val = update.completedAt?.toISOString() ?? null;\n params.push(val, val);\n }\n\n if (setClauses.length === 0) return false;\n\n const table = getTableName(getSchemaName(this.#schema));\n params.push(taskId);\n let where = `\"id\" = $${paramIdx++}`;\n if (options?.expectedStatus) {\n where += ` AND \"status\" = $${paramIdx}`;\n params.push(options.expectedStatus);\n }\n const result = await this.#db.client.query(`UPDATE ${table} SET ${setClauses.join(', ')} WHERE ${where}`, params);\n return (result.rowCount ?? 0) > 0;\n }\n\n async getTask(taskId: string): Promise {\n const table = getTableName(getSchemaName(this.#schema));\n const row = await this.#db.client.oneOrNone(`SELECT * FROM ${table} WHERE \"id\" = $1`, [taskId]);\n return row ? rowToTask(row) : null;\n }\n\n async listTasks(filter: TaskFilter): Promise {\n const table = getTableName(getSchemaName(this.#schema));\n const conditions: string[] = [];\n const params: any[] = [];\n let paramIdx = 1;\n\n if (filter.status) {\n const statuses = Array.isArray(filter.status) ? filter.status : [filter.status];\n const placeholders = statuses.map(() => `$${paramIdx++}`);\n conditions.push(`\"status\" IN (${placeholders.join(', ')})`);\n params.push(...statuses);\n }\n if (filter.agentId) {\n conditions.push(`\"agent_id\" = $${paramIdx++}`);\n params.push(filter.agentId);\n }\n if (filter.threadId) {\n conditions.push(`\"thread_id\" = $${paramIdx++}`);\n params.push(filter.threadId);\n }\n if (filter.resourceId) {\n conditions.push(`\"resource_id\" = $${paramIdx++}`);\n params.push(filter.resourceId);\n }\n if (filter.runId) {\n conditions.push(`\"run_id\" = $${paramIdx++}`);\n params.push(filter.runId);\n }\n if (filter.toolName) {\n conditions.push(`\"tool_name\" = $${paramIdx++}`);\n params.push(filter.toolName);\n }\n if (filter.toolCallId) {\n conditions.push(`\"tool_call_id\" = $${paramIdx++}`);\n params.push(filter.toolCallId);\n }\n // Date range filtering\n const dateCol =\n filter.dateFilterBy === 'startedAt'\n ? '\"startedAt\"'\n : filter.dateFilterBy === 'suspendedAt'\n ? '\"suspendedAt\"'\n : filter.dateFilterBy === 'completedAt'\n ? '\"completedAt\"'\n : '\"createdAt\"';\n if (filter.fromDate) {\n conditions.push(`${dateCol} >= $${paramIdx++}`);\n params.push(filter.fromDate.toISOString());\n }\n if (filter.toDate) {\n conditions.push(`${dateCol} < $${paramIdx++}`);\n params.push(filter.toDate.toISOString());\n }\n\n const where = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';\n\n // Count total matching rows (before pagination)\n const countResult = await this.#db.readClient.oneOrNone<{ count: string }>(\n `SELECT COUNT(*) as count FROM ${table} ${where}`,\n params.slice(0, paramIdx - 1),\n );\n const total = Number(countResult?.count ?? 0);\n\n const orderCol =\n filter.orderBy === 'startedAt'\n ? '\"startedAt\"'\n : filter.orderBy === 'suspendedAt'\n ? '\"suspendedAt\"'\n : filter.orderBy === 'completedAt'\n ? '\"completedAt\"'\n : '\"createdAt\"';\n const direction = filter.orderDirection === 'desc' ? 'DESC' : 'ASC';\n\n let sql = `SELECT * FROM ${table} ${where} ORDER BY ${orderCol} ${direction}`;\n\n if (filter.perPage != null) {\n sql += ` LIMIT $${paramIdx++}`;\n params.push(filter.perPage);\n if (filter.page != null) {\n sql += ` OFFSET $${paramIdx++}`;\n params.push(filter.page * filter.perPage);\n }\n }\n\n const rows = await this.#db.readClient.manyOrNone(sql, params);\n return { tasks: rows.map(rowToTask), total };\n }\n\n async deleteTask(taskId: string): Promise {\n const table = getTableName(getSchemaName(this.#schema));\n await this.#db.client.none(`DELETE FROM ${table} WHERE \"id\" = $1`, [taskId]);\n }\n\n async deleteTasks(filter: TaskFilter): Promise {\n const table = getTableName(getSchemaName(this.#schema));\n const conditions: string[] = [];\n const params: any[] = [];\n let paramIdx = 1;\n\n if (filter.status) {\n const statuses = Array.isArray(filter.status) ? filter.status : [filter.status];\n const placeholders = statuses.map(() => `$${paramIdx++}`);\n conditions.push(`\"status\" IN (${placeholders.join(', ')})`);\n params.push(...statuses);\n }\n // Date range filtering\n const dateCol =\n filter.dateFilterBy === 'startedAt'\n ? '\"startedAt\"'\n : filter.dateFilterBy === 'suspendedAt'\n ? '\"suspendedAt\"'\n : filter.dateFilterBy === 'completedAt'\n ? '\"completedAt\"'\n : '\"createdAt\"';\n if (filter.fromDate) {\n conditions.push(`${dateCol} >= $${paramIdx++}`);\n params.push(filter.fromDate.toISOString());\n }\n if (filter.toDate) {\n conditions.push(`${dateCol} < $${paramIdx++}`);\n params.push(filter.toDate.toISOString());\n }\n if (filter.agentId) {\n conditions.push(`\"agent_id\" = $${paramIdx++}`);\n params.push(filter.agentId);\n }\n\n if (conditions.length === 0) return; // Safety: don't delete everything\n\n await this.#db.client.none(`DELETE FROM ${table} WHERE ${conditions.join(' AND ')}`, params);\n }\n\n async getRunningCount(): Promise {\n const table = getTableName(getSchemaName(this.#schema));\n const result = await this.#db.readClient.oneOrNone<{ count: string }>(\n `SELECT COUNT(*) FROM ${table} WHERE \"status\" = 'running'`,\n );\n return Number(result?.count ?? 0);\n }\n\n async getRunningCountByAgent(agentId: string): Promise {\n const table = getTableName(getSchemaName(this.#schema));\n const result = await this.#db.readClient.oneOrNone<{ count: string }>(\n `SELECT COUNT(*) FROM ${table} WHERE \"status\" = 'running' AND \"agent_id\" = $1`,\n [agentId],\n );\n return Number(result?.count ?? 0);\n }\n}\n","import { BlobStore, TABLE_SKILL_BLOBS, TABLE_SCHEMAS } from '@mastra/core/storage';\nimport type { StorageBlobEntry } from '@mastra/core/storage';\n\nimport { PgDB, resolvePgConfig, generateTableSQL } from '../../db';\nimport type { PgDomainConfig } from '../../db';\nimport { getTableName, getSchemaName } from '../utils';\n\nexport class BlobsPG extends BlobStore {\n #db: PgDB;\n #schema: string;\n\n static readonly MANAGED_TABLES = [TABLE_SKILL_BLOBS] as const;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n }\n\n static getExportDDL(schemaName?: string): string[] {\n return [\n generateTableSQL({\n tableName: TABLE_SKILL_BLOBS,\n schema: TABLE_SCHEMAS[TABLE_SKILL_BLOBS],\n schemaName,\n includeAllConstraints: true,\n }),\n ];\n }\n\n async init(): Promise {\n await this.#db.createTable({\n tableName: TABLE_SKILL_BLOBS,\n schema: TABLE_SCHEMAS[TABLE_SKILL_BLOBS],\n });\n }\n\n async put(entry: StorageBlobEntry): Promise {\n const tableName = getTableName({ indexName: TABLE_SKILL_BLOBS, schemaName: getSchemaName(this.#schema) });\n const now = entry.createdAt ?? new Date();\n const nowIso = now.toISOString();\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\"hash\", \"content\", \"size\", \"mimeType\", \"createdAt\", \"createdAtZ\")\n VALUES ($1, $2, $3, $4, $5, $6)\n ON CONFLICT (\"hash\") DO NOTHING`,\n [entry.hash, entry.content, entry.size, entry.mimeType ?? null, nowIso, nowIso],\n );\n }\n\n async get(hash: string): Promise {\n const tableName = getTableName({ indexName: TABLE_SKILL_BLOBS, schemaName: getSchemaName(this.#schema) });\n const row = await this.#db.readClient.oneOrNone(`SELECT * FROM ${tableName} WHERE \"hash\" = $1`, [hash]);\n if (!row) return null;\n return this.#parseRow(row);\n }\n\n async has(hash: string): Promise {\n const tableName = getTableName({ indexName: TABLE_SKILL_BLOBS, schemaName: getSchemaName(this.#schema) });\n const row = await this.#db.readClient.oneOrNone(`SELECT 1 FROM ${tableName} WHERE \"hash\" = $1 LIMIT 1`, [hash]);\n return row !== null;\n }\n\n async delete(hash: string): Promise {\n const tableName = getTableName({ indexName: TABLE_SKILL_BLOBS, schemaName: getSchemaName(this.#schema) });\n const result = await this.#db.client.query(`DELETE FROM ${tableName} WHERE \"hash\" = $1`, [hash]);\n return (result.rowCount ?? 0) > 0;\n }\n\n async putMany(entries: StorageBlobEntry[]): Promise {\n if (entries.length === 0) return;\n for (const entry of entries) {\n await this.put(entry);\n }\n }\n\n async getMany(hashes: string[]): Promise> {\n const result = new Map();\n if (hashes.length === 0) return result;\n\n const tableName = getTableName({ indexName: TABLE_SKILL_BLOBS, schemaName: getSchemaName(this.#schema) });\n const placeholders = hashes.map((_, i) => `$${i + 1}`).join(', ');\n const rows = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE \"hash\" IN (${placeholders})`,\n hashes,\n );\n for (const row of rows) {\n const entry = this.#parseRow(row);\n result.set(entry.hash, entry);\n }\n return result;\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_SKILL_BLOBS });\n }\n\n #parseRow(row: Record): StorageBlobEntry {\n return {\n hash: row.hash as string,\n content: row.content as string,\n size: Number(row.size),\n mimeType: (row.mimeType as string) || undefined,\n createdAt: new Date((row.createdAtZ as string) || (row.createdAt as string)),\n };\n }\n}\n","import {\n ChannelsStorage,\n TABLE_CHANNEL_INSTALLATIONS,\n TABLE_CHANNEL_CONFIG,\n TABLE_SCHEMAS,\n} from '@mastra/core/storage';\nimport type { CreateIndexOptions, ChannelInstallation, ChannelConfig } from '@mastra/core/storage';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\n\nimport { PgDB, resolvePgConfig, generateTableSQL, generateIndexSQL } from '../../db';\nimport type { PgDomainConfig } from '../../db';\nimport { getTableName, getSchemaName } from '../utils';\n\nexport class ChannelsPG extends ChannelsStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n static readonly MANAGED_TABLES = [TABLE_CHANNEL_INSTALLATIONS, TABLE_CHANNEL_CONFIG] as const;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n this.#indexes = indexes?.filter(idx => (ChannelsPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n async init(): Promise {\n await this.#db.createTable({\n tableName: TABLE_CHANNEL_INSTALLATIONS,\n schema: TABLE_SCHEMAS[TABLE_CHANNEL_INSTALLATIONS],\n });\n await this.#db.createTable({\n tableName: TABLE_CHANNEL_CONFIG,\n schema: TABLE_SCHEMAS[TABLE_CHANNEL_CONFIG],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n static getDefaultIndexDefs(schemaPrefix: string): CreateIndexOptions[] {\n return [\n {\n name: `${schemaPrefix}idx_channel_installations_webhook`,\n table: TABLE_CHANNEL_INSTALLATIONS,\n columns: ['webhookId'],\n unique: true,\n },\n {\n name: `${schemaPrefix}idx_channel_installations_platform_agent`,\n table: TABLE_CHANNEL_INSTALLATIONS,\n columns: ['platform', 'agentId'],\n },\n ];\n }\n\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n const parsedSchema = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n const schemaPrefix = parsedSchema && parsedSchema !== 'public' ? `${parsedSchema}_` : '';\n\n for (const tableName of ChannelsPG.MANAGED_TABLES) {\n statements.push(\n generateTableSQL({\n tableName,\n schema: TABLE_SCHEMAS[tableName],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n }\n\n for (const idx of ChannelsPG.getDefaultIndexDefs(schemaPrefix)) {\n statements.push(generateIndexSQL(idx, schemaName));\n }\n\n return statements;\n }\n\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return ChannelsPG.getDefaultIndexDefs(schemaPrefix);\n }\n\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) return;\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create index ${indexDef.name}:`, error);\n }\n }\n }\n\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) return;\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_CHANNEL_INSTALLATIONS });\n await this.#db.clearTable({ tableName: TABLE_CHANNEL_CONFIG });\n }\n\n async saveInstallation(installation: ChannelInstallation): Promise {\n const schemaName = getSchemaName(this.#schema);\n const tableName = getTableName({ indexName: TABLE_CHANNEL_INSTALLATIONS, schemaName });\n const now = new Date().toISOString();\n const createdAt = installation.createdAt?.toISOString() ?? now;\n\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\"id\", \"platform\", \"agentId\", \"status\", \"webhookId\", \"data\", \"configHash\", \"error\", \"createdAt\", \"createdAtZ\", \"updatedAt\", \"updatedAtZ\")\n VALUES ($1, $2, $3, $4, $5, $6::jsonb, $7, $8, $9, $10, $11, $12)\n ON CONFLICT (\"id\") DO UPDATE SET\n \"platform\" = EXCLUDED.\"platform\",\n \"agentId\" = EXCLUDED.\"agentId\",\n \"status\" = EXCLUDED.\"status\",\n \"webhookId\" = EXCLUDED.\"webhookId\",\n \"data\" = EXCLUDED.\"data\",\n \"configHash\" = EXCLUDED.\"configHash\",\n \"error\" = EXCLUDED.\"error\",\n \"updatedAt\" = EXCLUDED.\"updatedAt\",\n \"updatedAtZ\" = EXCLUDED.\"updatedAtZ\"`,\n [\n installation.id,\n installation.platform,\n installation.agentId,\n installation.status,\n installation.webhookId ?? null,\n JSON.stringify(installation.data),\n installation.configHash ?? null,\n installation.error ?? null,\n createdAt,\n createdAt,\n now,\n now,\n ],\n );\n }\n\n async getInstallation(id: string): Promise {\n const schemaName = getSchemaName(this.#schema);\n const tableName = getTableName({ indexName: TABLE_CHANNEL_INSTALLATIONS, schemaName });\n const row = await this.#db.readClient.oneOrNone(`SELECT * FROM ${tableName} WHERE \"id\" = $1`, [id]);\n return row ? this.#parseInstallationRow(row) : null;\n }\n\n async getInstallationByAgent(platform: string, agentId: string): Promise {\n const schemaName = getSchemaName(this.#schema);\n const tableName = getTableName({ indexName: TABLE_CHANNEL_INSTALLATIONS, schemaName });\n const row = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"platform\" = $1 AND \"agentId\" = $2 ORDER BY CASE \"status\" WHEN 'active' THEN 0 WHEN 'pending' THEN 1 ELSE 2 END, \"updatedAt\" DESC LIMIT 1`,\n [platform, agentId],\n );\n return row ? this.#parseInstallationRow(row) : null;\n }\n\n async getInstallationByWebhookId(webhookId: string): Promise {\n const schemaName = getSchemaName(this.#schema);\n const tableName = getTableName({ indexName: TABLE_CHANNEL_INSTALLATIONS, schemaName });\n const row = await this.#db.readClient.oneOrNone(`SELECT * FROM ${tableName} WHERE \"webhookId\" = $1`, [webhookId]);\n return row ? this.#parseInstallationRow(row) : null;\n }\n\n async listInstallations(platform: string): Promise {\n const schemaName = getSchemaName(this.#schema);\n const tableName = getTableName({ indexName: TABLE_CHANNEL_INSTALLATIONS, schemaName });\n const rows = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE \"platform\" = $1 ORDER BY \"createdAt\" DESC`,\n [platform],\n );\n return rows.map(row => this.#parseInstallationRow(row));\n }\n\n async deleteInstallation(id: string): Promise {\n const schemaName = getSchemaName(this.#schema);\n const tableName = getTableName({ indexName: TABLE_CHANNEL_INSTALLATIONS, schemaName });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE \"id\" = $1`, [id]);\n }\n\n async saveConfig(config: ChannelConfig): Promise {\n const schemaName = getSchemaName(this.#schema);\n const tableName = getTableName({ indexName: TABLE_CHANNEL_CONFIG, schemaName });\n const now = config.updatedAt.toISOString();\n\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\"platform\", \"data\", \"updatedAt\", \"updatedAtZ\")\n VALUES ($1, $2::jsonb, $3, $4)\n ON CONFLICT (\"platform\") DO UPDATE SET\n \"data\" = EXCLUDED.\"data\",\n \"updatedAt\" = EXCLUDED.\"updatedAt\",\n \"updatedAtZ\" = EXCLUDED.\"updatedAtZ\"`,\n [config.platform, JSON.stringify(config.data), now, now],\n );\n }\n\n async getConfig(platform: string): Promise {\n const schemaName = getSchemaName(this.#schema);\n const tableName = getTableName({ indexName: TABLE_CHANNEL_CONFIG, schemaName });\n const row = await this.#db.readClient.oneOrNone(`SELECT * FROM ${tableName} WHERE \"platform\" = $1`, [platform]);\n if (!row) return null;\n return {\n platform: row.platform as string,\n data: typeof row.data === 'string' ? JSON.parse(row.data) : (row.data as Record),\n updatedAt: new Date((row.updatedAtZ as string) || (row.updatedAt as string)),\n };\n }\n\n async deleteConfig(platform: string): Promise {\n const schemaName = getSchemaName(this.#schema);\n const tableName = getTableName({ indexName: TABLE_CHANNEL_CONFIG, schemaName });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE \"platform\" = $1`, [platform]);\n }\n\n #parseInstallationRow(row: Record): ChannelInstallation {\n return {\n id: row.id as string,\n platform: row.platform as string,\n agentId: row.agentId as string,\n status: row.status as 'pending' | 'active' | 'error',\n webhookId: (row.webhookId as string) || undefined,\n data: typeof row.data === 'string' ? JSON.parse(row.data) : (row.data as Record),\n configHash: (row.configHash as string) || undefined,\n error: (row.error as string) || undefined,\n createdAt: new Date((row.createdAtZ as string) || (row.createdAt as string)),\n updatedAt: new Date((row.updatedAtZ as string) || (row.updatedAt as string)),\n };\n }\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport {\n createStorageErrorId,\n TABLE_DATASETS,\n TABLE_DATASET_ITEMS,\n TABLE_DATASET_VERSIONS,\n TABLE_EXPERIMENTS,\n TABLE_EXPERIMENT_RESULTS,\n TABLE_CONFIGS,\n TABLE_SCHEMAS,\n DATASETS_SCHEMA,\n DATASET_ITEMS_SCHEMA,\n DATASET_VERSIONS_SCHEMA,\n DatasetsStorage,\n calculatePagination,\n normalizePerPage,\n safelyParseJSON,\n ensureDate,\n hasErrorCode,\n} from '@mastra/core/storage';\nimport type {\n DatasetRecord,\n DatasetItem,\n DatasetItemRow,\n DatasetVersion,\n CreateDatasetInput,\n UpdateDatasetInput,\n AddDatasetItemInput,\n UpdateDatasetItemInput,\n DeleteDatasetItemInput,\n PurgeDatasetItemInput,\n ListDatasetsInput,\n ListDatasetsOutput,\n ListDatasetItemsInput,\n ListDatasetItemsOutput,\n ListDatasetVersionsInput,\n ListDatasetVersionsOutput,\n BatchInsertItemsInput,\n BatchDeleteItemsInput,\n CreateIndexOptions,\n TargetType,\n DatasetTenancyFilters,\n} from '@mastra/core/storage';\nimport type { TxClient } from '../../client';\nimport { PgDB, resolvePgConfig, generateTableSQL } from '../../db';\nimport type { DbClient, PgDomainConfig } from '../../db';\nimport { getTableName, getSchemaName, tenancyWhere } from '../utils';\n\n/** Serialize a value for a jsonb column. Returns null for null/undefined. */\nfunction jsonbArg(value: unknown): string | null {\n return value === undefined || value === null ? null : JSON.stringify(value);\n}\n\nfunction parseStoredJSON(value: unknown): T {\n if (typeof value === 'string') {\n try {\n return JSON.parse(value) as T;\n } catch {\n return value as T;\n }\n }\n return value as T;\n}\n\nfunction parseOptionalJSON(value: unknown, emptyValue: null | undefined): T | null | undefined {\n return value === null || value === undefined ? emptyValue : parseStoredJSON(value);\n}\n\nexport class DatasetsPG extends DatasetsStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n static readonly MANAGED_TABLES = [TABLE_DATASETS, TABLE_DATASET_ITEMS, TABLE_DATASET_VERSIONS] as const;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n this.#indexes = indexes?.filter(idx => (DatasetsPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n for (const tableName of DatasetsPG.MANAGED_TABLES) {\n statements.push(\n generateTableSQL({\n tableName,\n schema: TABLE_SCHEMAS[tableName],\n schemaName,\n compositePrimaryKey: TABLE_CONFIGS[tableName]?.compositePrimaryKey,\n includeAllConstraints: true,\n }),\n );\n }\n return statements;\n }\n\n async init(): Promise {\n await this.#db.createTable({ tableName: TABLE_DATASETS, schema: DATASETS_SCHEMA });\n await this.#db.createTable({\n tableName: TABLE_DATASET_ITEMS,\n schema: DATASET_ITEMS_SCHEMA,\n compositePrimaryKey: TABLE_CONFIGS[TABLE_DATASET_ITEMS]?.compositePrimaryKey,\n });\n await this.#db.createTable({ tableName: TABLE_DATASET_VERSIONS, schema: DATASET_VERSIONS_SCHEMA });\n\n // Migrate: add new columns to existing tables\n await this.#addColumnIfNotExists(TABLE_DATASETS, 'requestContextSchema', 'JSONB');\n await this.#addColumnIfNotExists(TABLE_DATASETS, 'tags', 'JSONB');\n await this.#addColumnIfNotExists(TABLE_DATASETS, 'targetType', 'TEXT');\n await this.#addColumnIfNotExists(TABLE_DATASETS, 'targetIds', 'JSONB');\n await this.#addColumnIfNotExists(TABLE_DATASETS, 'scorerIds', 'JSONB');\n await this.#addColumnIfNotExists(TABLE_DATASETS, 'organizationId', 'TEXT');\n await this.#addColumnIfNotExists(TABLE_DATASETS, 'projectId', 'TEXT');\n await this.#addColumnIfNotExists(TABLE_DATASETS, 'candidateKey', 'TEXT');\n await this.#addColumnIfNotExists(TABLE_DATASETS, 'candidateId', 'TEXT');\n await this.#addColumnIfNotExists(TABLE_DATASET_ITEMS, 'requestContext', 'JSONB');\n await this.#addColumnIfNotExists(TABLE_DATASET_ITEMS, 'source', 'JSONB');\n await this.#addColumnIfNotExists(TABLE_DATASET_ITEMS, 'expectedTrajectory', 'JSONB');\n await this.#addColumnIfNotExists(TABLE_DATASET_ITEMS, 'organizationId', 'TEXT');\n await this.#addColumnIfNotExists(TABLE_DATASET_ITEMS, 'projectId', 'TEXT');\n await this.#addColumnIfNotExists(TABLE_DATASET_ITEMS, 'toolMocks', 'JSONB');\n await this.#addColumnIfNotExists(TABLE_DATASET_ITEMS, 'unmockedToolPolicy', 'TEXT');\n await this.#addColumnIfNotExists(TABLE_DATASET_ITEMS, 'scorerIds', 'JSONB');\n await this.#addColumnIfNotExists(TABLE_DATASET_ITEMS, 'externalId', 'TEXT');\n\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n async #addColumnIfNotExists(table: string, column: string, sqlType: string): Promise {\n const exists = await this.#db.hasColumn(table, column);\n if (!exists) {\n const fullTableName = getTableName({ indexName: table, schemaName: getSchemaName(this.#schema) });\n await this.#db.client.none(`ALTER TABLE ${fullTableName} ADD COLUMN \"${column}\" ${sqlType}`);\n // Raw DDL bypasses alterTable's snapshot maintenance — report it so later\n // init-path checks in the same window see the column.\n this.#db.noteColumnAdded(table, column);\n }\n }\n\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n return [\n { name: 'idx_dataset_items_dataset_validto', table: TABLE_DATASET_ITEMS, columns: ['datasetId', 'validTo'] },\n {\n name: 'idx_dataset_items_dataset_version',\n table: TABLE_DATASET_ITEMS,\n columns: ['datasetId', 'datasetVersion'],\n },\n {\n name: 'idx_dataset_items_external_id_history',\n table: TABLE_DATASET_ITEMS,\n columns: ['datasetId', 'externalId', 'datasetVersion'],\n },\n {\n name: 'idx_dataset_items_dataset_validto_deleted',\n table: TABLE_DATASET_ITEMS,\n columns: ['datasetId', 'validTo', 'isDeleted'],\n },\n {\n name: 'idx_dataset_versions_dataset_version',\n table: TABLE_DATASET_VERSIONS,\n columns: ['datasetId', 'version'],\n },\n {\n name: 'idx_dataset_versions_dataset_version_unique',\n table: TABLE_DATASET_VERSIONS,\n columns: ['datasetId', 'version'],\n unique: true,\n },\n // Tenancy: leading-tenant indexes for multi-tenant scans (parity with observability storage).\n {\n name: 'idx_datasets_org_project',\n table: TABLE_DATASETS,\n columns: ['organizationId', 'projectId'],\n },\n {\n name: 'idx_datasets_candidate',\n table: TABLE_DATASETS,\n columns: ['candidateKey', 'candidateId'],\n },\n {\n name: 'idx_dataset_items_org_project',\n table: TABLE_DATASET_ITEMS,\n columns: ['organizationId', 'projectId'],\n },\n ];\n }\n\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) return;\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create default index ${indexDef.name}:`, error);\n }\n }\n }\n\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) return;\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n // --- Row transformers ---\n\n private transformDatasetRow(row: Record): DatasetRecord {\n return {\n id: row.id as string,\n name: row.name as string,\n description: (row.description as string) ?? undefined,\n metadata: row.metadata ? safelyParseJSON(row.metadata) : undefined,\n inputSchema: row.inputSchema ? safelyParseJSON(row.inputSchema) : undefined,\n groundTruthSchema: row.groundTruthSchema ? safelyParseJSON(row.groundTruthSchema) : undefined,\n requestContextSchema: row.requestContextSchema ? safelyParseJSON(row.requestContextSchema) : undefined,\n tags: row.tags ? safelyParseJSON(row.tags) : undefined,\n targetType: (row.targetType as TargetType) || null,\n targetIds: row.targetIds || null,\n scorerIds: row.scorerIds || null,\n organizationId: (row.organizationId as string | null) ?? null,\n projectId: (row.projectId as string | null) ?? null,\n candidateKey: (row.candidateKey as string | null) ?? null,\n candidateId: (row.candidateId as string | null) ?? null,\n version: row.version as number,\n createdAt: ensureDate(row.createdAtZ || row.createdAt)!,\n updatedAt: ensureDate(row.updatedAtZ || row.updatedAt)!,\n };\n }\n\n private transformItemRow(row: Record): DatasetItem {\n const metadata = parseOptionalJSON>(row.metadata, undefined);\n const emptyValue = metadata?.__purged === true ? null : undefined;\n return {\n id: row.id as string,\n datasetId: row.datasetId as string,\n datasetVersion: row.datasetVersion as number,\n externalId: (row.externalId as string | null) ?? null,\n organizationId: (row.organizationId as string | null) ?? null,\n projectId: (row.projectId as string | null) ?? null,\n input: row.input === null ? null : parseStoredJSON(row.input),\n groundTruth: parseOptionalJSON(row.groundTruth, emptyValue),\n expectedTrajectory: parseOptionalJSON(row.expectedTrajectory, emptyValue),\n toolMocks: parseOptionalJSON(row.toolMocks, emptyValue),\n unmockedToolPolicy: row.unmockedToolPolicy ?? emptyValue,\n scorerIds: parseOptionalJSON(row.scorerIds, emptyValue),\n requestContext: parseOptionalJSON(row.requestContext, emptyValue),\n metadata,\n source: parseOptionalJSON(row.source, emptyValue),\n createdAt: ensureDate(row.createdAtZ || row.createdAt)!,\n updatedAt: ensureDate(row.updatedAtZ || row.updatedAt)!,\n };\n }\n\n private transformItemRowFull(row: Record): DatasetItemRow {\n const metadata = parseOptionalJSON>(row.metadata, undefined);\n const emptyValue = metadata?.__purged === true ? null : undefined;\n return {\n id: row.id as string,\n datasetId: row.datasetId as string,\n datasetVersion: row.datasetVersion as number,\n externalId: (row.externalId as string | null) ?? null,\n organizationId: (row.organizationId as string | null) ?? null,\n projectId: (row.projectId as string | null) ?? null,\n validTo: row.validTo as number | null,\n isDeleted: Boolean(row.isDeleted),\n input: row.input === null ? null : parseStoredJSON(row.input),\n groundTruth: parseOptionalJSON(row.groundTruth, emptyValue),\n expectedTrajectory: parseOptionalJSON(row.expectedTrajectory, emptyValue),\n toolMocks: parseOptionalJSON(row.toolMocks, emptyValue),\n unmockedToolPolicy: row.unmockedToolPolicy ?? emptyValue,\n scorerIds: parseOptionalJSON(row.scorerIds, emptyValue),\n requestContext: parseOptionalJSON(row.requestContext, emptyValue),\n metadata,\n source: parseOptionalJSON(row.source, emptyValue),\n createdAt: ensureDate(row.createdAtZ || row.createdAt)!,\n updatedAt: ensureDate(row.updatedAtZ || row.updatedAt)!,\n };\n }\n\n private transformDatasetVersionRow(row: Record): DatasetVersion {\n return {\n id: row.id as string,\n datasetId: row.datasetId as string,\n version: row.version as number,\n createdAt: ensureDate(row.createdAtZ || row.createdAt)!,\n };\n }\n\n // --- Dataset CRUD ---\n\n async createDataset(input: CreateDatasetInput): Promise {\n try {\n const id = input.id ?? crypto.randomUUID();\n if (input.id !== undefined) this.validateCallerDefinedDatasetId(input.id);\n const now = new Date();\n const nowIso = now.toISOString();\n\n await this.#db.insert({\n tableName: TABLE_DATASETS,\n record: {\n id,\n name: input.name,\n description: input.description ?? null,\n metadata: input.metadata ?? null,\n inputSchema: input.inputSchema ?? null,\n groundTruthSchema: input.groundTruthSchema ?? null,\n requestContextSchema: input.requestContextSchema ?? null,\n targetType: input.targetType ?? null,\n targetIds: input.targetIds ?? null,\n scorerIds: input.scorerIds ?? null,\n organizationId: input.organizationId ?? null,\n projectId: input.projectId ?? null,\n candidateKey: input.candidateKey ?? null,\n candidateId: input.candidateId ?? null,\n version: 0,\n createdAt: nowIso,\n updatedAt: nowIso,\n },\n });\n\n return {\n id,\n name: input.name,\n description: input.description,\n metadata: input.metadata,\n inputSchema: input.inputSchema ?? undefined,\n groundTruthSchema: input.groundTruthSchema ?? undefined,\n requestContextSchema: input.requestContextSchema ?? undefined,\n targetType: input.targetType ?? null,\n targetIds: input.targetIds ?? null,\n scorerIds: input.scorerIds ?? null,\n organizationId: input.organizationId ?? null,\n projectId: input.projectId ?? null,\n candidateKey: input.candidateKey ?? null,\n candidateId: input.candidateId ?? null,\n version: 0,\n createdAt: now,\n updatedAt: now,\n };\n } catch (error) {\n if (input.id !== undefined && hasErrorCode(error, new Set(['23505']))) {\n const existing = await this.#getDatasetById(this.#db.client, { id: input.id });\n if (existing) return this.resolveExistingDataset(existing, { ...input, id: input.id });\n }\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_DATASET', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async getDatasetById(args: { id: string; filters?: DatasetTenancyFilters }): Promise {\n return this.#getDatasetById(this.#db.readClient, args);\n }\n\n protected override getDatasetForMutation(args: {\n id: string;\n filters?: DatasetTenancyFilters;\n }): Promise {\n return this.#getDatasetById(this.#db.client, args);\n }\n\n protected override listItemsForMutation(args: ListDatasetItemsInput): Promise {\n return this.#listItems(this.#db.client, args);\n }\n\n /**\n * Same lookup against an explicit client. Mutation paths pass the writer so a\n * lagging read replica cannot yield stale or missing rows mid-update.\n */\n async #getDatasetById(\n client: Pick | Pick,\n { id, filters }: { id: string; filters?: DatasetTenancyFilters },\n ): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_DATASETS, schemaName: getSchemaName(this.#schema) });\n const { conditions, params } = tenancyWhere(filters, 2);\n const whereSql = ['\"id\" = $1', ...conditions].join(' AND ');\n const result = await client.oneOrNone(`SELECT * FROM ${tableName} WHERE ${whereSql}`, [id, ...params]);\n return result ? this.transformDatasetRow(result) : null;\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_DATASET', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n protected async _doUpdateDataset(args: UpdateDatasetInput): Promise {\n try {\n const existing = await this.#getDatasetById(this.#db.client, { id: args.id, filters: args.filters });\n if (!existing) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_DATASET', 'NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { datasetId: args.id },\n });\n }\n\n const tableName = getTableName({ indexName: TABLE_DATASETS, schemaName: getSchemaName(this.#schema) });\n const now = new Date().toISOString();\n const setClauses: string[] = ['\"updatedAt\" = $1', '\"updatedAtZ\" = $2'];\n const values: any[] = [now, now];\n let paramIndex = 3;\n\n if (args.name !== undefined) {\n setClauses.push(`\"name\" = $${paramIndex++}`);\n values.push(args.name);\n }\n if (args.description !== undefined) {\n setClauses.push(`\"description\" = $${paramIndex++}`);\n values.push(args.description);\n }\n if (args.metadata !== undefined) {\n setClauses.push(`\"metadata\" = $${paramIndex++}`);\n values.push(JSON.stringify(args.metadata));\n }\n if (args.inputSchema !== undefined) {\n setClauses.push(`\"inputSchema\" = $${paramIndex++}`);\n values.push(args.inputSchema === null ? null : JSON.stringify(args.inputSchema));\n }\n if (args.groundTruthSchema !== undefined) {\n setClauses.push(`\"groundTruthSchema\" = $${paramIndex++}`);\n values.push(args.groundTruthSchema === null ? null : JSON.stringify(args.groundTruthSchema));\n }\n if (args.requestContextSchema !== undefined) {\n setClauses.push(`\"requestContextSchema\" = $${paramIndex++}`);\n values.push(args.requestContextSchema === null ? null : JSON.stringify(args.requestContextSchema));\n }\n if (args.tags !== undefined) {\n setClauses.push(`\"tags\" = $${paramIndex++}`);\n values.push(args.tags === null ? null : JSON.stringify(args.tags));\n }\n if (args.targetType !== undefined) {\n setClauses.push(`\"targetType\" = $${paramIndex++}`);\n values.push(args.targetType);\n }\n if (args.targetIds !== undefined) {\n setClauses.push(`\"targetIds\" = $${paramIndex++}`);\n values.push(args.targetIds === null ? null : JSON.stringify(args.targetIds));\n }\n if (args.scorerIds !== undefined) {\n setClauses.push(`\"scorerIds\" = $${paramIndex++}`);\n values.push(args.scorerIds === null ? null : JSON.stringify(args.scorerIds));\n }\n // Tenancy (organizationId, projectId) and candidate identity (candidateKey,\n // candidateId) are immutable after creation — they're not part of UpdateDatasetInput.\n\n values.push(args.id);\n await this.#db.client.none(\n `UPDATE ${tableName} SET ${setClauses.join(', ')} WHERE \"id\" = $${paramIndex}`,\n values,\n );\n\n return {\n ...existing,\n name: args.name ?? existing.name,\n description: args.description ?? existing.description,\n metadata: args.metadata ?? existing.metadata,\n inputSchema: (args.inputSchema !== undefined ? args.inputSchema : existing.inputSchema) ?? undefined,\n groundTruthSchema:\n (args.groundTruthSchema !== undefined ? args.groundTruthSchema : existing.groundTruthSchema) ?? undefined,\n requestContextSchema:\n (args.requestContextSchema !== undefined ? args.requestContextSchema : existing.requestContextSchema) ??\n undefined,\n tags: (args.tags !== undefined ? args.tags : existing.tags) ?? undefined,\n targetType: (args.targetType !== undefined ? args.targetType : existing.targetType) ?? null,\n targetIds: (args.targetIds !== undefined ? args.targetIds : existing.targetIds) ?? null,\n scorerIds: (args.scorerIds !== undefined ? args.scorerIds : existing.scorerIds) ?? null,\n organizationId: existing.organizationId ?? null,\n projectId: existing.projectId ?? null,\n candidateKey: existing.candidateKey ?? null,\n candidateId: existing.candidateId ?? null,\n updatedAt: new Date(now),\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_DATASET', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async deleteDataset({ id, filters }: { id: string; filters?: DatasetTenancyFilters }): Promise {\n try {\n const datasetsTable = getTableName({ indexName: TABLE_DATASETS, schemaName: getSchemaName(this.#schema) });\n const itemsTable = getTableName({ indexName: TABLE_DATASET_ITEMS, schemaName: getSchemaName(this.#schema) });\n const versionsTable = getTableName({\n indexName: TABLE_DATASET_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const experimentsTable = getTableName({ indexName: TABLE_EXPERIMENTS, schemaName: getSchemaName(this.#schema) });\n const experimentResultsTable = getTableName({\n indexName: TABLE_EXPERIMENT_RESULTS,\n schemaName: getSchemaName(this.#schema),\n });\n\n // Atomic gate + cascade under a single transaction; the tenancy predicate\n // is folded into a SELECT ... FOR UPDATE lock and the parent DELETE, so\n // a concurrent delete/recreate under a different tenant cannot let a\n // scoped delete hit another tenant's row. Silent no-op on mismatch.\n const { conditions, params } = tenancyWhere(filters, 2);\n const scopedWhere = ['\"id\" = $1', ...conditions].join(' AND ');\n\n await this.#db.client.tx(async t => {\n const locked = await t.oneOrNone(`SELECT \"id\" FROM ${datasetsTable} WHERE ${scopedWhere} FOR UPDATE`, [\n id,\n ...params,\n ]);\n if (!locked) return;\n\n // Detach experiments only if their tables exist. We probe with\n // to_regclass instead of try/catch inside the transaction, because a\n // failed DML in Postgres puts the connection into an aborted state\n // (SQLSTATE 25P02), which would cause every subsequent DELETE below\n // to fail and roll back the whole transaction.\n const experimentTablesExist = await t.oneOrNone<{ exists: boolean }>(\n `SELECT to_regclass($1) IS NOT NULL AND to_regclass($2) IS NOT NULL AS exists`,\n [experimentResultsTable, experimentsTable],\n );\n if (experimentTablesExist?.exists) {\n await t.none(\n `DELETE FROM ${experimentResultsTable} WHERE \"experimentId\" IN (SELECT \"id\" FROM ${experimentsTable} WHERE \"datasetId\" = $1)`,\n [id],\n );\n await t.none(\n `UPDATE ${experimentsTable} SET \"datasetId\" = NULL, \"datasetVersion\" = NULL WHERE \"datasetId\" = $1`,\n [id],\n );\n }\n\n await t.none(`DELETE FROM ${versionsTable} WHERE \"datasetId\" = $1`, [id]);\n await t.none(`DELETE FROM ${itemsTable} WHERE \"datasetId\" = $1`, [id]);\n await t.none(`DELETE FROM ${datasetsTable} WHERE ${scopedWhere}`, [id, ...params]);\n });\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_DATASET', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async listDatasets(args: ListDatasetsInput): Promise {\n try {\n const { page, perPage: perPageInput } = args.pagination;\n const tableName = getTableName({ indexName: TABLE_DATASETS, schemaName: getSchemaName(this.#schema) });\n\n const conditions: string[] = [];\n const queryParams: any[] = [];\n let paramIndex = 1;\n\n if (args.filters) {\n const { organizationId, projectId, candidateKey, candidateId, targetType, targetIds, name } = args.filters;\n if (organizationId !== undefined) {\n conditions.push(`\"organizationId\" = $${paramIndex++}`);\n queryParams.push(organizationId);\n }\n if (projectId !== undefined) {\n conditions.push(`\"projectId\" = $${paramIndex++}`);\n queryParams.push(projectId);\n }\n if (candidateKey !== undefined) {\n conditions.push(`\"candidateKey\" = $${paramIndex++}`);\n queryParams.push(candidateKey);\n }\n if (candidateId !== undefined) {\n conditions.push(`\"candidateId\" = $${paramIndex++}`);\n queryParams.push(candidateId);\n }\n if (targetType !== undefined) {\n conditions.push(`\"targetType\" = $${paramIndex++}`);\n queryParams.push(targetType);\n }\n if (targetIds !== undefined && targetIds.length > 0) {\n // jsonb ?| text[] — true if any of the strings exists as a top-level element.\n conditions.push(`\"targetIds\" ?| $${paramIndex++}::text[]`);\n queryParams.push(targetIds);\n }\n if (name !== undefined && name.length > 0) {\n conditions.push(`\"name\" ILIKE $${paramIndex++}`);\n queryParams.push(`%${name}%`);\n }\n }\n\n const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';\n\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} ${whereClause}`,\n queryParams,\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return { datasets: [], pagination: { total: 0, page, perPage: perPageInput, hasMore: false } };\n }\n\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n const limitValue = perPageInput === false ? total : perPage;\n\n const rows = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} ${whereClause} ORDER BY \"createdAt\" DESC, \"id\" ASC LIMIT $${paramIndex} OFFSET $${paramIndex + 1}`,\n [...queryParams, limitValue, offset],\n );\n\n return {\n datasets: (rows || []).map(row => this.transformDatasetRow(row)),\n pagination: {\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n },\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_DATASETS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n // --- SCD-2 mutations ---\n\n protected async _doAddItem(args: AddDatasetItemInput): Promise {\n try {\n const datasetsTable = getTableName({ indexName: TABLE_DATASETS, schemaName: getSchemaName(this.#schema) });\n const itemsTable = getTableName({ indexName: TABLE_DATASET_ITEMS, schemaName: getSchemaName(this.#schema) });\n const versionsTable = getTableName({\n indexName: TABLE_DATASET_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n\n const id = crypto.randomUUID();\n const versionId = crypto.randomUUID();\n const now = new Date();\n const nowIso = now.toISOString();\n\n let newVersion: number;\n let parentOrganizationId: string | null = null;\n let parentProjectId: string | null = null;\n\n await this.#db.client.tx(async t => {\n const row = await t.one(\n `UPDATE ${datasetsTable} SET \"version\" = \"version\" + 1 WHERE \"id\" = $1 RETURNING \"version\", \"organizationId\", \"projectId\"`,\n [args.datasetId],\n );\n newVersion = row.version as number;\n parentOrganizationId = (row.organizationId as string | null) ?? null;\n parentProjectId = (row.projectId as string | null) ?? null;\n\n await t.none(\n `INSERT INTO ${itemsTable} (\"id\",\"datasetId\",\"datasetVersion\",\"externalId\",\"organizationId\",\"projectId\",\"validTo\",\"isDeleted\",\"input\",\"groundTruth\",\"expectedTrajectory\",\"toolMocks\",\"unmockedToolPolicy\",\"scorerIds\",\"requestContext\",\"metadata\",\"source\",\"createdAt\",\"createdAtZ\",\"updatedAt\",\"updatedAtZ\") VALUES ($1,$2,$3,$4,$5,$6,NULL,false,$7,$8,$9,$10,$11,$12,$13,$14,$15,$16,$17,$18,$19)`,\n [\n id,\n args.datasetId,\n newVersion,\n args.externalId ?? null,\n parentOrganizationId,\n parentProjectId,\n JSON.stringify(args.input),\n jsonbArg(args.groundTruth),\n jsonbArg(args.expectedTrajectory),\n jsonbArg(args.toolMocks),\n args.unmockedToolPolicy ?? null,\n jsonbArg(args.scorerIds),\n jsonbArg(args.requestContext),\n jsonbArg(args.metadata),\n jsonbArg(args.source),\n nowIso,\n nowIso,\n nowIso,\n nowIso,\n ],\n );\n\n await t.none(\n `INSERT INTO ${versionsTable} (\"id\",\"datasetId\",\"version\",\"createdAt\",\"createdAtZ\") VALUES ($1,$2,$3,$4,$5)`,\n [versionId, args.datasetId, newVersion, nowIso, nowIso],\n );\n });\n\n return {\n id,\n datasetId: args.datasetId,\n datasetVersion: newVersion!,\n organizationId: parentOrganizationId,\n projectId: parentProjectId,\n input: args.input,\n groundTruth: args.groundTruth,\n expectedTrajectory: args.expectedTrajectory,\n toolMocks: args.toolMocks,\n unmockedToolPolicy: args.unmockedToolPolicy,\n scorerIds: args.scorerIds,\n requestContext: args.requestContext,\n metadata: args.metadata,\n source: args.source,\n createdAt: now,\n updatedAt: now,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'ADD_ITEM', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n protected async _doUpdateItem(args: UpdateDatasetItemInput): Promise {\n try {\n const datasetsTable = getTableName({ indexName: TABLE_DATASETS, schemaName: getSchemaName(this.#schema) });\n const itemsTable = getTableName({ indexName: TABLE_DATASET_ITEMS, schemaName: getSchemaName(this.#schema) });\n const versionsTable = getTableName({\n indexName: TABLE_DATASET_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n\n const versionId = crypto.randomUUID();\n const now = new Date();\n const nowIso = now.toISOString();\n let updated!: DatasetItem;\n\n await this.#db.client.tx(async t => {\n // Serialize item writers with purge before reading payload data.\n await t.oneOrNone(`SELECT \"id\" FROM ${datasetsTable} WHERE \"id\" = $1 FOR UPDATE`, [args.datasetId]);\n const existing = await this.#getItemById(t, { id: args.id });\n if (!existing) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_ITEM', 'NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { itemId: args.id },\n });\n }\n if (existing.datasetId !== args.datasetId) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_ITEM', 'DATASET_MISMATCH'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { itemId: args.id, expectedDatasetId: args.datasetId, actualDatasetId: existing.datasetId },\n });\n }\n if (existing.metadata?.__purged === true) {\n throw new MastraError({\n id: 'DATASET_ITEM_PURGED',\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { datasetId: args.datasetId, itemId: args.id },\n text: `Purged dataset item cannot be updated: ${args.id}`,\n });\n }\n\n const mergedInput = args.input !== undefined ? args.input : existing.input;\n const mergedGroundTruth = args.groundTruth !== undefined ? args.groundTruth : existing.groundTruth;\n const mergedExpectedTrajectory =\n args.expectedTrajectory !== undefined ? args.expectedTrajectory : existing.expectedTrajectory;\n const mergedToolMocks = args.toolMocks !== undefined ? args.toolMocks : existing.toolMocks;\n const mergedUnmockedToolPolicy =\n args.unmockedToolPolicy !== undefined ? args.unmockedToolPolicy : existing.unmockedToolPolicy;\n const mergedScorerIds = args.scorerIds !== undefined ? (args.scorerIds ?? undefined) : existing.scorerIds;\n const mergedRequestContext = args.requestContext !== undefined ? args.requestContext : existing.requestContext;\n const mergedMetadata = args.metadata !== undefined ? args.metadata : existing.metadata;\n const mergedSource = args.source !== undefined ? args.source : existing.source;\n\n const row = await t.one(\n `UPDATE ${datasetsTable} SET \"version\" = \"version\" + 1 WHERE \"id\" = $1 RETURNING \"version\", \"organizationId\", \"projectId\"`,\n [args.datasetId],\n );\n const newVersion = row.version as number;\n const parentOrganizationId = (row.organizationId as string | null) ?? null;\n const parentProjectId = (row.projectId as string | null) ?? null;\n\n await t.none(\n `UPDATE ${itemsTable} SET \"validTo\" = $1 WHERE \"id\" = $2 AND \"validTo\" IS NULL AND \"isDeleted\" = false`,\n [newVersion, args.id],\n );\n await t.none(\n `INSERT INTO ${itemsTable} (\"id\",\"datasetId\",\"datasetVersion\",\"externalId\",\"organizationId\",\"projectId\",\"validTo\",\"isDeleted\",\"input\",\"groundTruth\",\"expectedTrajectory\",\"toolMocks\",\"unmockedToolPolicy\",\"scorerIds\",\"requestContext\",\"metadata\",\"source\",\"createdAt\",\"createdAtZ\",\"updatedAt\",\"updatedAtZ\") VALUES ($1,$2,$3,$4,$5,$6,NULL,false,$7,$8,$9,$10,$11,$12,$13,$14,$15,$16,$17,$18,$19)`,\n [\n args.id,\n args.datasetId,\n newVersion,\n existing.externalId ?? null,\n parentOrganizationId,\n parentProjectId,\n JSON.stringify(mergedInput),\n jsonbArg(mergedGroundTruth),\n jsonbArg(mergedExpectedTrajectory),\n jsonbArg(mergedToolMocks),\n mergedUnmockedToolPolicy ?? null,\n jsonbArg(mergedScorerIds),\n jsonbArg(mergedRequestContext),\n jsonbArg(mergedMetadata),\n jsonbArg(mergedSource),\n existing.createdAt.toISOString(),\n existing.createdAt.toISOString(),\n nowIso,\n nowIso,\n ],\n );\n await t.none(\n `INSERT INTO ${versionsTable} (\"id\",\"datasetId\",\"version\",\"createdAt\",\"createdAtZ\") VALUES ($1,$2,$3,$4,$5)`,\n [versionId, args.datasetId, newVersion, nowIso, nowIso],\n );\n\n updated = {\n ...existing,\n datasetVersion: newVersion,\n organizationId: parentOrganizationId,\n projectId: parentProjectId,\n input: mergedInput,\n groundTruth: mergedGroundTruth,\n expectedTrajectory: mergedExpectedTrajectory,\n toolMocks: mergedToolMocks,\n unmockedToolPolicy: mergedUnmockedToolPolicy,\n scorerIds: mergedScorerIds,\n requestContext: mergedRequestContext,\n metadata: mergedMetadata,\n source: mergedSource,\n updatedAt: now,\n };\n });\n return updated;\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_ITEM', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n protected async _doDeleteItem({ id, datasetId }: DeleteDatasetItemInput): Promise {\n try {\n const datasetsTable = getTableName({ indexName: TABLE_DATASETS, schemaName: getSchemaName(this.#schema) });\n const itemsTable = getTableName({ indexName: TABLE_DATASET_ITEMS, schemaName: getSchemaName(this.#schema) });\n const versionsTable = getTableName({\n indexName: TABLE_DATASET_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const versionId = crypto.randomUUID();\n const nowIso = new Date().toISOString();\n\n await this.#db.client.tx(async t => {\n await t.oneOrNone(`SELECT \"id\" FROM ${datasetsTable} WHERE \"id\" = $1 FOR UPDATE`, [datasetId]);\n const existing = await this.#getItemById(t, { id });\n if (!existing) return;\n if (existing.datasetId !== datasetId) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'DELETE_ITEM', 'DATASET_MISMATCH'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { itemId: id, expectedDatasetId: datasetId, actualDatasetId: existing.datasetId },\n });\n }\n\n const row = await t.one(\n `UPDATE ${datasetsTable} SET \"version\" = \"version\" + 1 WHERE \"id\" = $1 RETURNING \"version\", \"organizationId\", \"projectId\"`,\n [datasetId],\n );\n const newVersion = row.version as number;\n const parentOrganizationId = (row.organizationId as string | null) ?? null;\n const parentProjectId = (row.projectId as string | null) ?? null;\n await t.none(\n `UPDATE ${itemsTable} SET \"validTo\" = $1 WHERE \"id\" = $2 AND \"validTo\" IS NULL AND \"isDeleted\" = false`,\n [newVersion, id],\n );\n await t.none(\n `INSERT INTO ${itemsTable} (\"id\",\"datasetId\",\"datasetVersion\",\"externalId\",\"organizationId\",\"projectId\",\"validTo\",\"isDeleted\",\"input\",\"groundTruth\",\"expectedTrajectory\",\"toolMocks\",\"unmockedToolPolicy\",\"scorerIds\",\"requestContext\",\"metadata\",\"source\",\"createdAt\",\"createdAtZ\",\"updatedAt\",\"updatedAtZ\") VALUES ($1,$2,$3,$4,$5,$6,NULL,true,$7,$8,$9,$10,$11,$12,$13,$14,$15,$16,$17,$18,$19)`,\n [\n id,\n datasetId,\n newVersion,\n existing.externalId ?? null,\n parentOrganizationId,\n parentProjectId,\n JSON.stringify(existing.input),\n jsonbArg(existing.groundTruth),\n jsonbArg(existing.expectedTrajectory),\n jsonbArg(existing.toolMocks),\n existing.unmockedToolPolicy ?? null,\n jsonbArg(existing.scorerIds),\n jsonbArg(existing.requestContext),\n jsonbArg(existing.metadata),\n jsonbArg(existing.source),\n existing.createdAt.toISOString(),\n existing.createdAt.toISOString(),\n nowIso,\n nowIso,\n ],\n );\n await t.none(\n `INSERT INTO ${versionsTable} (\"id\",\"datasetId\",\"version\",\"createdAt\",\"createdAtZ\") VALUES ($1,$2,$3,$4,$5)`,\n [versionId, datasetId, newVersion, nowIso, nowIso],\n );\n });\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_ITEM', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n protected async _doPurgeItem({ id, datasetId }: PurgeDatasetItemInput): Promise {\n try {\n const datasetsTable = getTableName({ indexName: TABLE_DATASETS, schemaName: getSchemaName(this.#schema) });\n const itemsTable = getTableName({ indexName: TABLE_DATASET_ITEMS, schemaName: getSchemaName(this.#schema) });\n const experimentsTable = getTableName({ indexName: TABLE_EXPERIMENTS, schemaName: getSchemaName(this.#schema) });\n const experimentResultsTable = getTableName({\n indexName: TABLE_EXPERIMENT_RESULTS,\n schemaName: getSchemaName(this.#schema),\n });\n const purgedAt = new Date().toISOString();\n const purgedMetadata = JSON.stringify({ __purged: true, purgedAt });\n\n await this.#db.client.tx(async t => {\n const dataset = await t.oneOrNone(`SELECT \"id\" FROM ${datasetsTable} WHERE \"id\" = $1 FOR UPDATE`, [datasetId]);\n if (!dataset) return;\n const item = await t.oneOrNone(\n `SELECT \"id\" FROM ${itemsTable} WHERE \"id\" = $1 AND \"datasetId\" = $2 LIMIT 1 FOR UPDATE`,\n [id, datasetId],\n );\n if (!item) return;\n\n await t.none(\n `UPDATE ${itemsTable} SET \"input\" = 'null'::jsonb, \"groundTruth\" = NULL, \"expectedTrajectory\" = NULL, \"toolMocks\" = NULL, \"unmockedToolPolicy\" = NULL, \"scorerIds\" = NULL, \"requestContext\" = NULL, \"metadata\" = $2::jsonb, \"source\" = NULL WHERE \"id\" = $1 AND \"datasetId\" = $3`,\n [id, purgedMetadata, datasetId],\n );\n\n const experimentTablesExist = await t.one<{ exists: boolean }>(\n `SELECT to_regclass($1) IS NOT NULL AND to_regclass($2) IS NOT NULL AS exists`,\n [experimentResultsTable, experimentsTable],\n );\n if (experimentTablesExist.exists) {\n await t.none(\n `UPDATE ${experimentResultsTable} SET \"input\" = 'null'::jsonb, \"output\" = NULL, \"groundTruth\" = NULL, \"error\" = NULL, \"toolMockReport\" = NULL, \"tags\" = NULL, \"comment\" = NULL, \"metadata\" = $2::jsonb WHERE \"itemId\" = $1 AND \"experimentId\" IN (SELECT \"id\" FROM ${experimentsTable} WHERE \"datasetId\" = $3)`,\n [id, purgedMetadata, datasetId],\n );\n }\n });\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'PURGE_ITEM', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n protected async _doBatchInsertItems(input: BatchInsertItemsInput): Promise {\n try {\n if (input.items.length === 0) return [];\n const datasetsTable = getTableName({ indexName: TABLE_DATASETS, schemaName: getSchemaName(this.#schema) });\n const itemsTable = getTableName({ indexName: TABLE_DATASET_ITEMS, schemaName: getSchemaName(this.#schema) });\n const versionsTable = getTableName({\n indexName: TABLE_DATASET_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n let results: DatasetItem[] = [];\n\n await this.#db.client.tx(async t => {\n const dataset = await t.oneOrNone(\n `SELECT \"version\", \"organizationId\", \"projectId\" FROM ${datasetsTable} WHERE \"id\" = $1 FOR UPDATE`,\n [input.datasetId],\n );\n if (!dataset)\n throw new MastraError({\n id: createStorageErrorId('PG', 'BULK_ADD_ITEMS', 'DATASET_NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { datasetId: input.datasetId },\n });\n\n const externalIds = [...new Set(input.items.flatMap(item => (item.externalId ? [item.externalId] : [])))];\n const historyRows = externalIds.length\n ? await t.manyOrNone(\n `SELECT * FROM ${itemsTable} WHERE \"datasetId\" = $1 AND \"externalId\" = ANY($2::text[]) ORDER BY \"datasetVersion\"`,\n [input.datasetId, externalIds],\n )\n : [];\n const plan = this.planDatasetItemBatch(\n input.items,\n historyRows.map(row => this.transformItemRowFull(row)),\n () => crypto.randomUUID(),\n );\n const resolved = new Map(\n [...plan.existingCurrentItems].map(([id, row]) => [id, this.datasetItemFromRow(row)]),\n );\n if (plan.inserts.length > 0) {\n const newVersion = Number(dataset.version) + 1;\n const now = new Date();\n const nowIso = now.toISOString();\n await t.none(`UPDATE ${datasetsTable} SET \"version\" = $2 WHERE \"id\" = $1`, [input.datasetId, newVersion]);\n for (const { id, item } of plan.inserts) {\n await t.none(\n `INSERT INTO ${itemsTable} (\"id\",\"datasetId\",\"datasetVersion\",\"externalId\",\"organizationId\",\"projectId\",\"validTo\",\"isDeleted\",\"input\",\"groundTruth\",\"expectedTrajectory\",\"toolMocks\",\"unmockedToolPolicy\",\"scorerIds\",\"requestContext\",\"metadata\",\"source\",\"createdAt\",\"createdAtZ\",\"updatedAt\",\"updatedAtZ\") VALUES ($1,$2,$3,$4,$5,$6,NULL,false,$7,$8,$9,$10,$11,$12,$13,$14,$15,$16,$17,$18,$19)`,\n [\n id,\n input.datasetId,\n newVersion,\n item.externalId ?? null,\n dataset.organizationId ?? null,\n dataset.projectId ?? null,\n JSON.stringify(item.input),\n jsonbArg(item.groundTruth),\n jsonbArg(item.expectedTrajectory),\n jsonbArg(item.toolMocks),\n item.unmockedToolPolicy ?? null,\n jsonbArg(item.scorerIds),\n jsonbArg(item.requestContext),\n jsonbArg(item.metadata),\n jsonbArg(item.source),\n nowIso,\n nowIso,\n nowIso,\n nowIso,\n ],\n );\n resolved.set(id, {\n id,\n datasetId: input.datasetId,\n datasetVersion: newVersion,\n externalId: item.externalId ?? null,\n organizationId: dataset.organizationId ?? null,\n projectId: dataset.projectId ?? null,\n input: item.input,\n groundTruth: item.groundTruth,\n expectedTrajectory: item.expectedTrajectory,\n toolMocks: item.toolMocks,\n unmockedToolPolicy: item.unmockedToolPolicy,\n scorerIds: item.scorerIds,\n requestContext: item.requestContext,\n metadata: item.metadata,\n source: item.source,\n createdAt: now,\n updatedAt: now,\n });\n }\n await t.none(\n `INSERT INTO ${versionsTable} (\"id\",\"datasetId\",\"version\",\"createdAt\",\"createdAtZ\") VALUES ($1,$2,$3,$4,$5)`,\n [crypto.randomUUID(), input.datasetId, newVersion, nowIso, nowIso],\n );\n }\n results = plan.resolvedIds.map(id => resolved.get(id)!);\n });\n return results;\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'BULK_ADD_ITEMS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n protected async _doBatchDeleteItems(input: BatchDeleteItemsInput): Promise {\n try {\n const datasetsTable = getTableName({ indexName: TABLE_DATASETS, schemaName: getSchemaName(this.#schema) });\n const itemsTable = getTableName({ indexName: TABLE_DATASET_ITEMS, schemaName: getSchemaName(this.#schema) });\n const versionsTable = getTableName({\n indexName: TABLE_DATASET_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n\n const nowIso = new Date().toISOString();\n const versionId = crypto.randomUUID();\n\n await this.#db.client.tx(async t => {\n await t.oneOrNone(`SELECT \"id\" FROM ${datasetsTable} WHERE \"id\" = $1 FOR UPDATE`, [input.datasetId]);\n const dataset = await this.#getDatasetById(t, { id: input.datasetId });\n if (!dataset) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'BULK_DELETE_ITEMS', 'DATASET_NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { datasetId: input.datasetId },\n });\n }\n\n // Fetch current items after taking the dataset lock, skipping missing or mismatched items.\n const currentRows = await t.manyOrNone(\n `SELECT * FROM ${itemsTable} WHERE \"id\" = ANY($1::text[]) AND \"datasetId\" = $2 AND \"validTo\" IS NULL AND \"isDeleted\" = false`,\n [input.itemIds, input.datasetId],\n );\n const currentItems = currentRows.map(row => this.transformItemRow(row));\n if (currentItems.length === 0) return;\n\n const parentOrganizationId = dataset.organizationId ?? null;\n const parentProjectId = dataset.projectId ?? null;\n\n // 1. Single version bump\n const row = await t.one(\n `UPDATE ${datasetsTable} SET \"version\" = \"version\" + 1 WHERE \"id\" = $1 RETURNING \"version\"`,\n [input.datasetId],\n );\n const newVersion = row.version as number;\n\n // 2. For each item: close old row + insert tombstone\n for (const item of currentItems) {\n await t.none(\n `UPDATE ${itemsTable} SET \"validTo\" = $1 WHERE \"id\" = $2 AND \"validTo\" IS NULL AND \"isDeleted\" = false`,\n [newVersion, item.id],\n );\n await t.none(\n `INSERT INTO ${itemsTable} (\"id\",\"datasetId\",\"datasetVersion\",\"externalId\",\"organizationId\",\"projectId\",\"validTo\",\"isDeleted\",\"input\",\"groundTruth\",\"expectedTrajectory\",\"toolMocks\",\"unmockedToolPolicy\",\"scorerIds\",\"requestContext\",\"metadata\",\"source\",\"createdAt\",\"createdAtZ\",\"updatedAt\",\"updatedAtZ\") VALUES ($1,$2,$3,$4,$5,$6,NULL,true,$7,$8,$9,$10,$11,$12,$13,$14,$15,$16,$17,$18,$19)`,\n [\n item.id,\n input.datasetId,\n newVersion,\n item.externalId ?? null,\n parentOrganizationId,\n parentProjectId,\n JSON.stringify(item.input),\n jsonbArg(item.groundTruth),\n jsonbArg(item.expectedTrajectory),\n jsonbArg(item.toolMocks),\n item.unmockedToolPolicy ?? null,\n jsonbArg(item.scorerIds),\n jsonbArg(item.requestContext),\n jsonbArg(item.metadata),\n jsonbArg(item.source),\n item.createdAt.toISOString(),\n item.createdAt.toISOString(),\n nowIso,\n nowIso,\n ],\n );\n }\n\n // 3. Single dataset_version row\n await t.none(\n `INSERT INTO ${versionsTable} (\"id\",\"datasetId\",\"version\",\"createdAt\",\"createdAtZ\") VALUES ($1,$2,$3,$4,$5)`,\n [versionId, input.datasetId, newVersion, nowIso, nowIso],\n );\n });\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'BULK_DELETE_ITEMS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n // --- SCD-2 queries ---\n\n async getItemById(args: { id: string; datasetVersion?: number }): Promise {\n return this.#getItemById(this.#db.readClient, args);\n }\n\n async #getItemById(\n client: Pick | Pick,\n args: { id: string; datasetVersion?: number },\n ): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_DATASET_ITEMS, schemaName: getSchemaName(this.#schema) });\n let result;\n\n if (args.datasetVersion !== undefined) {\n result = await client.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"id\" = $1 AND \"datasetVersion\" <= $2 AND (\"validTo\" IS NULL OR \"validTo\" > $2) AND \"isDeleted\" = false ORDER BY \"datasetVersion\" DESC LIMIT 1`,\n [args.id, args.datasetVersion],\n );\n } else {\n result = await client.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"id\" = $1 AND \"validTo\" IS NULL AND \"isDeleted\" = false`,\n [args.id],\n );\n }\n\n return result ? this.transformItemRow(result) : null;\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_ITEM', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async getItemsByVersion({ datasetId, version }: { datasetId: string; version: number }): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_DATASET_ITEMS, schemaName: getSchemaName(this.#schema) });\n const rows = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE \"datasetId\" = $1 AND \"datasetVersion\" <= $2 AND (\"validTo\" IS NULL OR \"validTo\" > $3) AND \"isDeleted\" = false ORDER BY \"createdAt\" DESC, \"id\" ASC`,\n [datasetId, version, version],\n );\n return (rows || []).map(row => this.transformItemRow(row));\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_ITEMS_BY_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async getItemHistory(itemId: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_DATASET_ITEMS, schemaName: getSchemaName(this.#schema) });\n const rows = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE \"id\" = $1 ORDER BY \"datasetVersion\" DESC`,\n [itemId],\n );\n return (rows || []).map(row => this.transformItemRowFull(row));\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_ITEM_HISTORY', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async listItems(args: ListDatasetItemsInput): Promise {\n return this.#listItems(this.#db.readClient, args);\n }\n\n /**\n * Same listing against an explicit client. `updateDataset` validates existing\n * items on the writer so a lagging replica cannot hide freshly inserted rows.\n */\n async #listItems(client: DbClient, args: ListDatasetItemsInput): Promise {\n try {\n const { page, perPage: perPageInput } = args.pagination;\n const tableName = getTableName({ indexName: TABLE_DATASET_ITEMS, schemaName: getSchemaName(this.#schema) });\n\n // Build WHERE conditions\n const conditions: string[] = ['\"datasetId\" = $1'];\n const queryParams: any[] = [args.datasetId];\n let paramIndex = 2;\n\n if (args.version !== undefined) {\n // SCD-2 time-travel\n conditions.push(`\"datasetVersion\" <= $${paramIndex++}`);\n queryParams.push(args.version);\n conditions.push(`(\"validTo\" IS NULL OR \"validTo\" > $${paramIndex++})`);\n queryParams.push(args.version);\n conditions.push(`\"isDeleted\" = false`);\n } else {\n // Current items only\n conditions.push(`\"validTo\" IS NULL`);\n conditions.push(`\"isDeleted\" = false`);\n }\n\n if (args.search) {\n conditions.push(\n `(\"input\"::text ILIKE $${paramIndex} OR COALESCE(\"groundTruth\"::text, '') ILIKE $${paramIndex})`,\n );\n queryParams.push(`%${args.search}%`);\n paramIndex++;\n }\n\n if (args.filters) {\n const { organizationId, projectId } = args.filters;\n if (organizationId !== undefined) {\n conditions.push(`\"organizationId\" = $${paramIndex++}`);\n queryParams.push(organizationId);\n }\n if (projectId !== undefined) {\n conditions.push(`\"projectId\" = $${paramIndex++}`);\n queryParams.push(projectId);\n }\n }\n\n const whereClause = `WHERE ${conditions.join(' AND ')}`;\n\n // Count\n const countResult = await client.one(`SELECT COUNT(*) as count FROM ${tableName} ${whereClause}`, queryParams);\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return { items: [], pagination: { total: 0, page, perPage: perPageInput, hasMore: false } };\n }\n\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n const limitValue = perPageInput === false ? total : perPage;\n\n const rows = await client.manyOrNone(\n `SELECT * FROM ${tableName} ${whereClause} ORDER BY \"createdAt\" DESC, \"id\" ASC LIMIT $${paramIndex} OFFSET $${paramIndex + 1}`,\n [...queryParams, limitValue, offset],\n );\n\n return {\n items: (rows || []).map(row => this.transformItemRow(row)),\n pagination: {\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n },\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_ITEMS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n // --- Dataset versions ---\n\n async createDatasetVersion(datasetId: string, version: number): Promise {\n try {\n const id = crypto.randomUUID();\n const now = new Date();\n const nowIso = now.toISOString();\n\n await this.#db.insert({\n tableName: TABLE_DATASET_VERSIONS,\n record: { id, datasetId, version, createdAt: nowIso },\n });\n\n return { id, datasetId, version, createdAt: now };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_DATASET_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async listDatasetVersions(input: ListDatasetVersionsInput): Promise {\n try {\n const { page, perPage: perPageInput } = input.pagination;\n const tableName = getTableName({ indexName: TABLE_DATASET_VERSIONS, schemaName: getSchemaName(this.#schema) });\n\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} WHERE \"datasetId\" = $1`,\n [input.datasetId],\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return { versions: [], pagination: { total: 0, page, perPage: perPageInput, hasMore: false } };\n }\n\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n const limitValue = perPageInput === false ? total : perPage;\n\n const rows = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE \"datasetId\" = $1 ORDER BY \"version\" DESC LIMIT $2 OFFSET $3`,\n [input.datasetId, limitValue, offset],\n );\n\n return {\n versions: (rows || []).map(row => this.transformDatasetVersionRow(row)),\n pagination: {\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n },\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_DATASET_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n // --- Clear ---\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_DATASET_VERSIONS });\n await this.#db.clearTable({ tableName: TABLE_DATASET_ITEMS });\n await this.#db.clearTable({ tableName: TABLE_DATASETS });\n }\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport {\n createStorageErrorId,\n TABLE_DATASETS,\n TABLE_DATASET_ITEMS,\n TABLE_EXPERIMENTS,\n TABLE_EXPERIMENT_RESULTS,\n TABLE_SCHEMAS,\n EXPERIMENTS_SCHEMA,\n EXPERIMENT_RESULTS_SCHEMA,\n ExperimentsStorage,\n calculatePagination,\n normalizePerPage,\n safelyParseJSON,\n ensureDate,\n} from '@mastra/core/storage';\nimport type {\n Experiment,\n ExperimentResult,\n ExperimentReviewCounts,\n ExperimentTenancyFilters,\n CreateExperimentInput,\n UpdateExperimentInput,\n AddExperimentResultInput,\n UpdateExperimentResultInput,\n UpsertExperimentResultInput,\n ListExperimentsInput,\n ListExperimentsOutput,\n ListExperimentResultsInput,\n ListExperimentResultsOutput,\n CreateIndexOptions,\n TABLE_NAMES,\n PruneOptions,\n PruneResult,\n RetentionTablesDescriptor,\n TableRetentionPolicy,\n} from '@mastra/core/storage';\nimport type { TxClient } from '../../client';\nimport { PgDB, resolvePgConfig, generateTableSQL } from '../../db';\nimport type { DbClient, PgDomainConfig } from '../../db';\nimport { cutoffFor, runBatchedDelete } from '../../retention';\nimport { getTableName, getSchemaName, tenancyWhere } from '../utils';\n\nconst DEFAULT_PRUNE_BATCH_SIZE = 1000;\n\nexport class ExperimentsPG extends ExperimentsStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n static readonly MANAGED_TABLES = [TABLE_EXPERIMENTS, TABLE_EXPERIMENT_RESULTS] as const;\n\n /**\n * Experiments prune as whole units: an aged experiment and its result rows go\n * together, mirroring `deleteExperiment`. Anchored on `completedAt` (not the\n * `completedAtZ` mirror, which carries a `DEFAULT NOW()` this domain never\n * overrides — it holds insert time even for running rows). `completedAt` is\n * written as a UTC ISO string and stays NULL while running, so\n * `completedAt < cutoff` is false for in-flight experiments.\n */\n static override readonly retentionTables: RetentionTablesDescriptor = {\n experiments: { table: TABLE_EXPERIMENTS, column: 'completedAt', indexed: true },\n };\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n this.#indexes = indexes?.filter(idx => (ExperimentsPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n for (const tableName of ExperimentsPG.MANAGED_TABLES) {\n statements.push(\n generateTableSQL({\n tableName,\n schema: TABLE_SCHEMAS[tableName],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n }\n return statements;\n }\n\n async init(): Promise {\n await this.#db.createTable({ tableName: TABLE_EXPERIMENTS, schema: EXPERIMENTS_SCHEMA });\n await this.#db.createTable({ tableName: TABLE_EXPERIMENT_RESULTS, schema: EXPERIMENT_RESULTS_SCHEMA });\n // Add columns introduced after initial schema for backwards compatibility\n await this.#db.alterTable({\n tableName: TABLE_EXPERIMENTS,\n schema: EXPERIMENTS_SCHEMA,\n ifNotExists: [\n 'agentVersion',\n 'organizationId',\n 'projectId',\n 'provenance',\n 'runnerAttestation',\n 'experimentSetId',\n 'comparisonId',\n 'variantId',\n 'trialIndex',\n 'scorerIds',\n ],\n });\n await this.#db.alterTable({\n tableName: TABLE_EXPERIMENT_RESULTS,\n schema: EXPERIMENT_RESULTS_SCHEMA,\n ifNotExists: [\n 'status',\n 'tags',\n 'comment',\n 'toolMockReport',\n 'metadata',\n 'organizationId',\n 'projectId',\n 'attempt',\n ],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n /**\n * Lazily ensures a btree index exists on each configured policy's retention\n * anchor column so age-based `prune()` deletes stay fast on large tables.\n * Called from the prune path (not init) so only deployments that configure\n * retention pay the index's write/disk overhead. Best-effort: failures are\n * logged and pruning proceeds (correct, just slower).\n * Created even with `skipDefaultIndexes` — retention is an explicit opt-in,\n * so its supporting index is not part of the default index set.\n */\n private async ensureRetentionIndexes(policies: Record): Promise {\n const prefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n for (const [key, entry] of Object.entries(ExperimentsPG.retentionTables)) {\n if (!entry.indexed || !policies[key]) continue;\n try {\n await this.#db.ensureIndex({\n indexName: `${prefix}mastra_${key}_retention_idx`,\n tableName: entry.table as TABLE_NAMES,\n column: entry.column,\n });\n } catch (error) {\n this.logger?.warn?.(`Failed to create retention index for ${entry.table}:`, error);\n }\n }\n }\n\n /**\n * Delete experiments whose `completedAt` is older than the policy's `maxAge`.\n *\n * Each batch selects up to `batchSize` aged experiments and deletes their\n * `experiment_results` rows and the experiment rows in one transaction —\n * mirroring `deleteExperiment` — so hitting `maxBatches`/`maxRows` or the\n * abort signal between batches never leaves a run hollow (parent kept,\n * results gone). NULL `completedAt` (still running) is excluded by the\n * `< cutoff` predicate. Bounds count whole experiments, not rows.\n */\n async prune(policies: Record, options?: PruneOptions): Promise {\n const policy = policies['experiments'];\n if (!policy || options?.signal?.aborted) {\n return policy\n ? [\n { domain: 'experiments', table: TABLE_EXPERIMENT_RESULTS, deleted: 0, done: false },\n { domain: 'experiments', table: TABLE_EXPERIMENTS, deleted: 0, done: false },\n ]\n : [];\n }\n\n await this.ensureRetentionIndexes(policies);\n\n // `completedAt` is a naive TIMESTAMP holding UTC ISO strings, so bind the\n // cutoff as a UTC ISO string too — a Date would be serialized with the\n // session's local offset and compared against the wrong wall time.\n const rawCutoff = cutoffFor(policy, 'timestamp');\n const cutoff = rawCutoff instanceof Date ? rawCutoff.toISOString() : rawCutoff;\n const batchSize = policy.batchSize ?? DEFAULT_PRUNE_BATCH_SIZE;\n\n let childDeleted = 0;\n const parent = await runBatchedDelete({\n deleteBatch: async limit => {\n const { parents, children } = await this.#db.pruneUnitsBatch({\n parentTable: TABLE_EXPERIMENTS,\n parentKey: 'id',\n parentColumn: 'completedAt',\n childTable: TABLE_EXPERIMENT_RESULTS,\n childForeignKey: 'experimentId',\n cutoff,\n limit,\n });\n childDeleted += children;\n return parents;\n },\n batchSize,\n options,\n });\n\n return [\n { domain: 'experiments', table: TABLE_EXPERIMENT_RESULTS, deleted: childDeleted, done: parent.done },\n { domain: 'experiments', table: TABLE_EXPERIMENTS, deleted: parent.deleted, done: parent.done },\n ];\n }\n\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n return [\n { name: 'idx_experiments_datasetid', table: TABLE_EXPERIMENTS, columns: ['datasetId'] },\n {\n name: 'idx_experiments_grouping',\n table: TABLE_EXPERIMENTS,\n columns: ['experimentSetId', 'comparisonId', 'variantId', 'trialIndex'],\n },\n { name: 'idx_experiment_results_experimentid', table: TABLE_EXPERIMENT_RESULTS, columns: ['experimentId'] },\n // The natural key includes `attempt` so external runners can record\n // repeated trials as separate rows (retry convergence happens per attempt).\n {\n name: 'idx_experiment_results_exp_item_attempt',\n table: TABLE_EXPERIMENT_RESULTS,\n columns: ['experimentId', 'itemId', 'attempt'],\n unique: true,\n },\n // Tenancy: leading-tenant indexes for multi-tenant scans (parity with datasets domain).\n {\n name: 'idx_experiments_org_project',\n table: TABLE_EXPERIMENTS,\n columns: ['organizationId', 'projectId'],\n },\n {\n name: 'idx_experiment_results_org_project',\n table: TABLE_EXPERIMENT_RESULTS,\n columns: ['organizationId', 'projectId'],\n },\n // Tags JSONB GIN index — backs the `\"tags\" @> ...::jsonb` containment filter.\n {\n name: 'idx_experiment_results_tags_gin',\n table: TABLE_EXPERIMENT_RESULTS,\n columns: ['tags'],\n method: 'gin',\n },\n ];\n }\n\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) return;\n // Legacy unique index without `attempt` — superseded by idx_experiment_results_exp_item_attempt.\n // dropIndex is snapshot-aware, so converged inits stay DDL- and probe-free.\n try {\n await this.#db.dropIndex('idx_experiment_results_exp_item');\n } catch (error) {\n this.logger?.warn?.('Failed to drop legacy index idx_experiment_results_exp_item:', error);\n }\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create default index ${indexDef.name}:`, error);\n }\n }\n }\n\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) return;\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n // --- Row transformers ---\n\n private transformExperimentRow(row: Record): Experiment {\n return {\n id: row.id as string,\n name: (row.name as string) ?? undefined,\n description: (row.description as string) ?? undefined,\n metadata: row.metadata ? safelyParseJSON(row.metadata) : undefined,\n provenance: row.provenance ? safelyParseJSON(row.provenance) : null,\n runnerAttestation: row.runnerAttestation ? safelyParseJSON(row.runnerAttestation) : null,\n experimentSetId: (row.experimentSetId as string | null) ?? null,\n comparisonId: (row.comparisonId as string | null) ?? null,\n variantId: (row.variantId as string | null) ?? null,\n trialIndex: row.trialIndex != null ? (row.trialIndex as number) : null,\n datasetId: (row.datasetId as string | null) ?? null,\n datasetVersion: row.datasetVersion != null ? (row.datasetVersion as number) : null,\n agentVersion: (row.agentVersion as string | null) ?? null,\n organizationId: (row.organizationId as string | null) ?? null,\n projectId: (row.projectId as string | null) ?? null,\n targetType: (row.targetType as Experiment['targetType']) ?? null,\n targetId: (row.targetId as string | null) ?? null,\n scorerIds: row.scorerIds ? safelyParseJSON(row.scorerIds) : null,\n status: row.status as Experiment['status'],\n totalItems: row.totalItems as number,\n succeededCount: row.succeededCount as number,\n failedCount: row.failedCount as number,\n skippedCount: (row.skippedCount as number) ?? 0,\n startedAt: row.startedAt ? ensureDate(row.startedAtZ || row.startedAt)! : null,\n completedAt: row.completedAt ? ensureDate(row.completedAtZ || row.completedAt)! : null,\n createdAt: ensureDate(row.createdAtZ || row.createdAt)!,\n updatedAt: ensureDate(row.updatedAtZ || row.updatedAt)!,\n };\n }\n\n private transformExperimentResultRow(row: Record): ExperimentResult {\n return {\n id: row.id as string,\n experimentId: row.experimentId as string,\n itemId: row.itemId as string,\n itemDatasetVersion: row.itemDatasetVersion != null ? (row.itemDatasetVersion as number) : null,\n organizationId: (row.organizationId as string | null) ?? null,\n projectId: (row.projectId as string | null) ?? null,\n input: row.input === null ? null : safelyParseJSON(row.input),\n output: row.output ? safelyParseJSON(row.output) : null,\n groundTruth: row.groundTruth ? safelyParseJSON(row.groundTruth) : null,\n metadata: row.metadata ? safelyParseJSON(row.metadata) : null,\n error: row.error ? safelyParseJSON(row.error) : null,\n startedAt: ensureDate(row.startedAtZ || row.startedAt)!,\n completedAt: ensureDate(row.completedAtZ || row.completedAt)!,\n retryCount: row.retryCount as number,\n attempt: row.attempt != null ? (row.attempt as number) : 0,\n traceId: (row.traceId as string | null) ?? null,\n status: (row.status as ExperimentResult['status']) ?? null,\n tags: row.tags ? safelyParseJSON(row.tags) : null,\n comment: (row.comment as string | null) ?? null,\n toolMockReport: row.toolMockReport ? safelyParseJSON(row.toolMockReport) : null,\n createdAt: ensureDate(row.createdAtZ || row.createdAt)!,\n };\n }\n\n // --- Experiment CRUD ---\n\n async createExperiment(input: CreateExperimentInput): Promise {\n try {\n const id = input.id ?? crypto.randomUUID();\n const now = new Date();\n const nowIso = now.toISOString();\n\n await this.#db.insert({\n tableName: TABLE_EXPERIMENTS,\n record: {\n id,\n name: input.name ?? null,\n description: input.description ?? null,\n metadata: input.metadata ?? null,\n provenance: input.provenance ?? null,\n runnerAttestation: input.runnerAttestation ?? null,\n experimentSetId: input.experimentSetId ?? null,\n comparisonId: input.comparisonId ?? null,\n variantId: input.variantId ?? null,\n trialIndex: input.trialIndex ?? null,\n datasetId: input.datasetId ?? null,\n datasetVersion: input.datasetVersion ?? null,\n agentVersion: input.agentVersion ?? null,\n organizationId: input.organizationId ?? null,\n projectId: input.projectId ?? null,\n targetType: input.targetType ?? null,\n targetId: input.targetId ?? null,\n scorerIds: input.scorerIds ?? null,\n status: 'pending',\n totalItems: input.totalItems,\n succeededCount: 0,\n failedCount: 0,\n skippedCount: 0,\n startedAt: null,\n completedAt: null,\n createdAt: nowIso,\n updatedAt: nowIso,\n },\n });\n\n return {\n id,\n name: input.name,\n description: input.description,\n metadata: input.metadata,\n provenance: input.provenance ?? null,\n runnerAttestation: input.runnerAttestation ?? null,\n experimentSetId: input.experimentSetId ?? null,\n comparisonId: input.comparisonId ?? null,\n variantId: input.variantId ?? null,\n trialIndex: input.trialIndex ?? null,\n datasetId: input.datasetId ?? null,\n datasetVersion: input.datasetVersion ?? null,\n agentVersion: input.agentVersion ?? null,\n organizationId: input.organizationId ?? null,\n projectId: input.projectId ?? null,\n targetType: input.targetType ?? null,\n targetId: input.targetId ?? null,\n scorerIds: input.scorerIds ?? null,\n status: 'pending',\n totalItems: input.totalItems,\n succeededCount: 0,\n failedCount: 0,\n skippedCount: 0,\n startedAt: null,\n completedAt: null,\n createdAt: now,\n updatedAt: now,\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_EXPERIMENT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async updateExperiment(input: UpdateExperimentInput): Promise {\n try {\n const existing = await this.#getExperimentById(this.#db.client, { id: input.id });\n if (!existing) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_EXPERIMENT', 'NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { experimentId: input.id },\n });\n }\n\n const tableName = getTableName({ indexName: TABLE_EXPERIMENTS, schemaName: getSchemaName(this.#schema) });\n const now = new Date().toISOString();\n const setClauses: string[] = ['\"updatedAt\" = $1', '\"updatedAtZ\" = $2'];\n const values: any[] = [now, now];\n let paramIndex = 3;\n\n if (input.name !== undefined) {\n setClauses.push(`\"name\" = $${paramIndex++}`);\n values.push(input.name);\n }\n if (input.description !== undefined) {\n setClauses.push(`\"description\" = $${paramIndex++}`);\n values.push(input.description);\n }\n if (input.metadata !== undefined) {\n setClauses.push(`\"metadata\" = $${paramIndex++}`);\n values.push(JSON.stringify(input.metadata));\n }\n if (input.status !== undefined) {\n setClauses.push(`\"status\" = $${paramIndex++}`);\n values.push(input.status);\n }\n if (input.succeededCount !== undefined) {\n setClauses.push(`\"succeededCount\" = $${paramIndex++}`);\n values.push(input.succeededCount);\n }\n if (input.failedCount !== undefined) {\n setClauses.push(`\"failedCount\" = $${paramIndex++}`);\n values.push(input.failedCount);\n }\n if (input.totalItems !== undefined) {\n setClauses.push(`\"totalItems\" = $${paramIndex++}`);\n values.push(input.totalItems);\n }\n if (input.skippedCount !== undefined) {\n setClauses.push(`\"skippedCount\" = $${paramIndex++}`);\n values.push(input.skippedCount);\n }\n if (input.startedAt !== undefined) {\n setClauses.push(`\"startedAt\" = $${paramIndex++}`);\n values.push(input.startedAt?.toISOString() ?? null);\n }\n if (input.completedAt !== undefined) {\n setClauses.push(`\"completedAt\" = $${paramIndex++}`);\n values.push(input.completedAt?.toISOString() ?? null);\n }\n\n values.push(input.id);\n await this.#db.client.none(\n `UPDATE ${tableName} SET ${setClauses.join(', ')} WHERE \"id\" = $${paramIndex}`,\n values,\n );\n\n // Re-SELECT to get correctly transformed fields (timestamps, jsonb)\n const updated = await this.#getExperimentById(this.#db.client, { id: input.id });\n return updated!;\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_EXPERIMENT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async getExperimentById(args: { id: string; filters?: ExperimentTenancyFilters }): Promise {\n return this.#getExperimentById(this.#db.readClient, args);\n }\n\n /**\n * Same lookup against an explicit client. Mutation paths pass the writer so a\n * lagging read replica cannot yield stale or missing rows mid-update.\n */\n async #getExperimentById(\n client: DbClient,\n { id, filters }: { id: string; filters?: ExperimentTenancyFilters },\n ): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_EXPERIMENTS, schemaName: getSchemaName(this.#schema) });\n const { conditions, params } = tenancyWhere(filters, 2);\n const whereSql = ['\"id\" = $1', ...conditions].join(' AND ');\n const result = await client.oneOrNone(`SELECT * FROM ${tableName} WHERE ${whereSql}`, [id, ...params]);\n return result ? this.transformExperimentRow(result) : null;\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_EXPERIMENT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async listExperiments(args: ListExperimentsInput): Promise {\n try {\n const { page, perPage: perPageInput } = args.pagination;\n const tableName = getTableName({ indexName: TABLE_EXPERIMENTS, schemaName: getSchemaName(this.#schema) });\n\n // Build WHERE\n const conditions: string[] = [];\n const queryParams: any[] = [];\n let paramIndex = 1;\n\n if (args.datasetId) {\n conditions.push(`\"datasetId\" = $${paramIndex++}`);\n queryParams.push(args.datasetId);\n }\n if (args.targetType) {\n conditions.push(`\"targetType\" = $${paramIndex++}`);\n queryParams.push(args.targetType);\n }\n if (args.targetId) {\n conditions.push(`\"targetId\" = $${paramIndex++}`);\n queryParams.push(args.targetId);\n }\n if (args.agentVersion) {\n conditions.push(`\"agentVersion\" = $${paramIndex++}`);\n queryParams.push(args.agentVersion);\n }\n if (args.status) {\n conditions.push(`\"status\" = $${paramIndex++}`);\n queryParams.push(args.status);\n }\n if (args.experimentSetId !== undefined) {\n conditions.push(`\"experimentSetId\" = $${paramIndex++}`);\n queryParams.push(args.experimentSetId);\n }\n if (args.comparisonId !== undefined) {\n conditions.push(`\"comparisonId\" = $${paramIndex++}`);\n queryParams.push(args.comparisonId);\n }\n if (args.variantId !== undefined) {\n conditions.push(`\"variantId\" = $${paramIndex++}`);\n queryParams.push(args.variantId);\n }\n if (args.trialIndex !== undefined) {\n conditions.push(`\"trialIndex\" = $${paramIndex++}`);\n queryParams.push(args.trialIndex);\n }\n if (args.filters) {\n const { organizationId, projectId } = args.filters;\n if (organizationId !== undefined) {\n conditions.push(`\"organizationId\" = $${paramIndex++}`);\n queryParams.push(organizationId);\n }\n if (projectId !== undefined) {\n conditions.push(`\"projectId\" = $${paramIndex++}`);\n queryParams.push(projectId);\n }\n }\n\n const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';\n\n // Count\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} ${whereClause}`,\n queryParams,\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return { experiments: [], pagination: { total: 0, page, perPage: perPageInput, hasMore: false } };\n }\n\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n const limitValue = perPageInput === false ? total : perPage;\n\n const rows = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} ${whereClause} ORDER BY \"createdAt\" DESC LIMIT $${paramIndex} OFFSET $${paramIndex + 1}`,\n [...queryParams, limitValue, offset],\n );\n\n return {\n experiments: (rows || []).map(row => this.transformExperimentRow(row)),\n pagination: {\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n },\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_EXPERIMENTS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async deleteExperiment({ id, filters }: { id: string; filters?: ExperimentTenancyFilters }): Promise {\n try {\n const resultsTable = getTableName({\n indexName: TABLE_EXPERIMENT_RESULTS,\n schemaName: getSchemaName(this.#schema),\n });\n const experimentsTable = getTableName({ indexName: TABLE_EXPERIMENTS, schemaName: getSchemaName(this.#schema) });\n\n // Tenancy gate + cascade run in a single transaction with SELECT ... FOR UPDATE,\n // so a concurrent delete/recreate cannot let a scoped delete hit another tenant's row.\n // Silent no-op on tenancy mismatch (does not throw).\n const { conditions, params } = tenancyWhere(filters, 2);\n const gateSql = `SELECT \"id\" FROM ${experimentsTable} WHERE ${['\"id\" = $1', ...conditions].join(' AND ')} FOR UPDATE`;\n\n await this.#db.client.tx(async t => {\n const parent = await t.oneOrNone(gateSql, [id, ...params]);\n if (!parent) return;\n await t.none(`DELETE FROM ${resultsTable} WHERE \"experimentId\" = $1`, [id]);\n await t.none(`DELETE FROM ${experimentsTable} WHERE \"id\" = $1`, [id]);\n });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_EXPERIMENT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n // --- Experiment results ---\n\n async #resolvePurgeMetadata(\n t: TxClient,\n datasetId: string | null | undefined,\n itemId: string,\n ): Promise | null> {\n if (!datasetId) return null;\n\n const datasetsTable = getTableName({ indexName: TABLE_DATASETS, schemaName: getSchemaName(this.#schema) });\n const itemsTable = getTableName({ indexName: TABLE_DATASET_ITEMS, schemaName: getSchemaName(this.#schema) });\n const dataset = await t.oneOrNone(`SELECT \"id\" FROM ${datasetsTable} WHERE \"id\" = $1 FOR UPDATE`, [datasetId]);\n if (!dataset) return null;\n\n const purge = await t.oneOrNone<{ metadata: Record }>(\n `SELECT \"metadata\" FROM ${itemsTable}\n WHERE \"id\" = $1 AND \"datasetId\" = $2 AND \"metadata\"->>'__purged' = 'true'\n LIMIT 1`,\n [itemId, datasetId],\n );\n return purge?.metadata ?? null;\n }\n\n async addExperimentResult(input: AddExperimentResultInput): Promise {\n try {\n const id = input.id ?? crypto.randomUUID();\n const resultsTable = getTableName({\n indexName: TABLE_EXPERIMENT_RESULTS,\n schemaName: getSchemaName(this.#schema),\n });\n const experimentsTable = getTableName({ indexName: TABLE_EXPERIMENTS, schemaName: getSchemaName(this.#schema) });\n\n const row = await this.#db.client.tx(async t => {\n const owner = await t.oneOrNone<{ datasetId: string | null }>(\n `SELECT \"datasetId\" FROM ${experimentsTable} WHERE \"id\" = $1`,\n [input.experimentId],\n );\n const purgeMetadata = await this.#resolvePurgeMetadata(t, owner?.datasetId, input.itemId);\n const nowIso = new Date().toISOString();\n return t.one(\n `INSERT INTO ${resultsTable} (\n \"id\", \"experimentId\", \"itemId\", \"itemDatasetVersion\", \"organizationId\", \"projectId\",\n \"input\", \"output\", \"groundTruth\", \"metadata\", \"error\", \"startedAt\", \"completedAt\",\n \"retryCount\", \"attempt\", \"traceId\", \"status\", \"tags\", \"toolMockReport\", \"createdAt\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16, $17, $18, $19, $20)\n RETURNING *`,\n [\n id,\n input.experimentId,\n input.itemId,\n input.itemDatasetVersion ?? null,\n input.organizationId ?? null,\n input.projectId ?? null,\n JSON.stringify(purgeMetadata ? null : input.input),\n purgeMetadata || input.output == null ? null : JSON.stringify(input.output),\n purgeMetadata || input.groundTruth == null ? null : JSON.stringify(input.groundTruth),\n JSON.stringify(purgeMetadata ?? input.metadata ?? null),\n purgeMetadata || input.error == null ? null : JSON.stringify(input.error),\n input.startedAt.toISOString(),\n input.completedAt.toISOString(),\n input.retryCount,\n input.attempt ?? 0,\n input.traceId ?? null,\n input.status ?? null,\n purgeMetadata || input.tags == null ? null : JSON.stringify(input.tags),\n purgeMetadata || input.toolMockReport == null ? null : JSON.stringify(input.toolMockReport),\n nowIso,\n ],\n );\n });\n\n return this.transformExperimentResultRow(row);\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'ADD_EXPERIMENT_RESULT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async upsertExperimentResult(input: UpsertExperimentResultInput): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_EXPERIMENT_RESULTS, schemaName: getSchemaName(this.#schema) });\n const experimentsTable = getTableName({ indexName: TABLE_EXPERIMENTS, schemaName: getSchemaName(this.#schema) });\n const attempt = input.attempt ?? 0;\n\n const row = await this.#db.client.tx(async t => {\n const owner = await t.oneOrNone<{ datasetId: string | null }>(\n `SELECT \"datasetId\" FROM ${experimentsTable} WHERE \"id\" = $1`,\n [input.experimentId],\n );\n const purgeMetadata = await this.#resolvePurgeMetadata(t, owner?.datasetId, input.itemId);\n\n // Natural key lookup under FOR UPDATE so concurrent retries serialize\n // on the same row instead of inserting duplicates.\n // Note: COALESCE(\"attempt\", 0) is an expression predicate, so the\n // planner narrows on the (\"experimentId\", \"itemId\") index prefix and\n // filters the attempt term — bounded cost since one item has few\n // attempts. Once legacy NULL attempts are backfilled to 0 and the\n // column is NOT NULL DEFAULT 0, this can become \"attempt\" = $3 for a\n // full index match.\n const existing = await t.oneOrNone(\n `SELECT \"id\" FROM ${tableName} WHERE \"experimentId\" = $1 AND \"itemId\" = $2 AND COALESCE(\"attempt\", 0) = $3 FOR UPDATE`,\n [input.experimentId, input.itemId, attempt],\n );\n\n if (!existing) {\n const id = crypto.randomUUID();\n return t.one(\n `INSERT INTO ${tableName} (\n \"id\", \"experimentId\", \"itemId\", \"itemDatasetVersion\", \"organizationId\", \"projectId\",\n \"input\", \"output\", \"groundTruth\", \"metadata\", \"error\", \"startedAt\", \"completedAt\",\n \"retryCount\", \"attempt\", \"traceId\", \"status\", \"tags\", \"toolMockReport\", \"createdAt\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16, $17, $18, $19, $20)\n RETURNING *`,\n [\n id,\n input.experimentId,\n input.itemId,\n input.itemDatasetVersion ?? null,\n input.organizationId ?? null,\n input.projectId ?? null,\n JSON.stringify(purgeMetadata ? null : input.input),\n purgeMetadata || input.output == null ? null : JSON.stringify(input.output),\n purgeMetadata || input.groundTruth == null ? null : JSON.stringify(input.groundTruth),\n JSON.stringify(purgeMetadata ?? input.metadata ?? null),\n purgeMetadata || input.error == null ? null : JSON.stringify(input.error),\n input.startedAt.toISOString(),\n input.completedAt.toISOString(),\n input.retryCount,\n attempt,\n input.traceId ?? null,\n input.status ?? null,\n purgeMetadata || input.tags == null ? null : JSON.stringify(input.tags),\n purgeMetadata || input.toolMockReport == null ? null : JSON.stringify(input.toolMockReport),\n new Date().toISOString(),\n ],\n );\n }\n\n // Last write wins on the natural key; keep row id + createdAt stable.\n return t.one(\n `UPDATE ${tableName} SET\n \"itemDatasetVersion\" = $2, \"organizationId\" = $3, \"projectId\" = $4,\n \"input\" = $5, \"output\" = $6, \"groundTruth\" = $7, \"metadata\" = $8, \"error\" = $9,\n \"startedAt\" = $10, \"completedAt\" = $11, \"retryCount\" = $12, \"attempt\" = $13,\n \"traceId\" = $14, \"status\" = $15, \"tags\" = $16, \"toolMockReport\" = $17\n WHERE \"id\" = $1 RETURNING *`,\n [\n existing.id,\n input.itemDatasetVersion ?? null,\n input.organizationId ?? null,\n input.projectId ?? null,\n JSON.stringify(purgeMetadata ? null : input.input),\n purgeMetadata || input.output == null ? null : JSON.stringify(input.output),\n purgeMetadata || input.groundTruth == null ? null : JSON.stringify(input.groundTruth),\n JSON.stringify(purgeMetadata ?? input.metadata ?? null),\n purgeMetadata || input.error == null ? null : JSON.stringify(input.error),\n input.startedAt.toISOString(),\n input.completedAt.toISOString(),\n input.retryCount,\n attempt,\n input.traceId ?? null,\n input.status ?? null,\n purgeMetadata || input.tags == null ? null : JSON.stringify(input.tags),\n purgeMetadata || input.toolMockReport == null ? null : JSON.stringify(input.toolMockReport),\n ],\n );\n });\n\n return this.transformExperimentResultRow(row);\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPSERT_EXPERIMENT_RESULT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async updateExperimentResult(input: UpdateExperimentResultInput): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_EXPERIMENT_RESULTS, schemaName: getSchemaName(this.#schema) });\n const experimentsTable = getTableName({ indexName: TABLE_EXPERIMENTS, schemaName: getSchemaName(this.#schema) });\n\n const row = await this.#db.client.tx(async t => {\n const owner = await t.oneOrNone<{ datasetId: string | null; itemId: string }>(\n `SELECT e.\"datasetId\", r.\"itemId\"\n FROM ${tableName} r\n JOIN ${experimentsTable} e ON e.\"id\" = r.\"experimentId\"\n WHERE r.\"id\" = $1${input.experimentId !== undefined ? ' AND r.\"experimentId\" = $2' : ''}`,\n input.experimentId !== undefined ? [input.id, input.experimentId] : [input.id],\n );\n if (!owner) return null;\n\n const purgeMetadata = await this.#resolvePurgeMetadata(t, owner.datasetId, owner.itemId);\n\n return t.oneOrNone(\n `UPDATE ${tableName}\n SET \"status\" = CASE WHEN $2 THEN $3 ELSE \"status\" END,\n \"tags\" = CASE WHEN $4 THEN NULL WHEN $5 THEN $6::jsonb ELSE \"tags\" END,\n \"comment\" = CASE WHEN $4 THEN NULL WHEN $7 THEN $8 ELSE \"comment\" END\n WHERE \"id\" = $1${input.experimentId !== undefined ? ' AND \"experimentId\" = $9' : ''}\n RETURNING *`,\n [\n input.id,\n input.status !== undefined,\n input.status ?? null,\n Boolean(purgeMetadata),\n input.tags !== undefined,\n input.tags === undefined ? null : JSON.stringify(input.tags),\n input.comment !== undefined,\n input.comment ?? null,\n ...(input.experimentId !== undefined ? [input.experimentId] : []),\n ],\n );\n });\n\n if (!row) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_EXPERIMENT_RESULT', 'NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { resultId: input.id },\n });\n }\n\n return this.transformExperimentResultRow(row);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_EXPERIMENT_RESULT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async getExperimentResultById(args: {\n id: string;\n filters?: ExperimentTenancyFilters;\n }): Promise {\n return this.#getExperimentResultById(this.#db.readClient, args);\n }\n\n /**\n * Same lookup against an explicit client. Mutation paths pass the writer so a\n * lagging read replica cannot yield stale or missing rows mid-update.\n */\n async #getExperimentResultById(\n client: DbClient,\n { id, filters }: { id: string; filters?: ExperimentTenancyFilters },\n ): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_EXPERIMENT_RESULTS, schemaName: getSchemaName(this.#schema) });\n const { conditions, params } = tenancyWhere(filters, 2);\n const whereSql = ['\"id\" = $1', ...conditions].join(' AND ');\n const result = await client.oneOrNone(`SELECT * FROM ${tableName} WHERE ${whereSql}`, [id, ...params]);\n return result ? this.transformExperimentResultRow(result) : null;\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_EXPERIMENT_RESULT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async listExperimentResults(args: ListExperimentResultsInput): Promise {\n try {\n const { page, perPage: perPageInput } = args.pagination;\n const tableName = getTableName({ indexName: TABLE_EXPERIMENT_RESULTS, schemaName: getSchemaName(this.#schema) });\n\n const conditions: string[] = ['\"experimentId\" = $1'];\n const queryParams: any[] = [args.experimentId];\n let paramIndex = 2;\n\n if (args.traceId) {\n conditions.push(`\"traceId\" = $${paramIndex++}`);\n queryParams.push(args.traceId);\n }\n if (args.status) {\n conditions.push(`\"status\" = $${paramIndex++}`);\n queryParams.push(args.status);\n }\n // All requested tags must be present (AND semantics)\n for (const tag of args.tags ?? []) {\n conditions.push(`\"tags\" @> $${paramIndex++}::jsonb`);\n queryParams.push(JSON.stringify([tag]));\n }\n if (args.filters) {\n const { organizationId, projectId } = args.filters;\n if (organizationId !== undefined) {\n conditions.push(`\"organizationId\" = $${paramIndex++}`);\n queryParams.push(organizationId);\n }\n if (projectId !== undefined) {\n conditions.push(`\"projectId\" = $${paramIndex++}`);\n queryParams.push(projectId);\n }\n }\n\n const whereClause = `WHERE ${conditions.join(' AND ')}`;\n\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} ${whereClause}`,\n queryParams,\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return { results: [], pagination: { total: 0, page, perPage: perPageInput, hasMore: false } };\n }\n\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n const limitValue = perPageInput === false ? total : perPage;\n\n const rows = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} ${whereClause} ORDER BY \"startedAt\" ASC LIMIT $${paramIndex} OFFSET $${paramIndex + 1}`,\n [...queryParams, limitValue, offset],\n );\n\n return {\n results: (rows || []).map(row => this.transformExperimentResultRow(row)),\n pagination: {\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n },\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_EXPERIMENT_RESULTS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async deleteExperimentResults({\n experimentId,\n filters,\n }: {\n experimentId: string;\n filters?: ExperimentTenancyFilters;\n }): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_EXPERIMENT_RESULTS, schemaName: getSchemaName(this.#schema) });\n const experimentsTable = getTableName({ indexName: TABLE_EXPERIMENTS, schemaName: getSchemaName(this.#schema) });\n\n // Atomic gate + cascade under SELECT ... FOR UPDATE. Silent no-op on\n // tenancy mismatch.\n if (filters?.organizationId !== undefined || filters?.projectId !== undefined) {\n const { conditions, params } = tenancyWhere(filters, 2);\n const gateSql = `SELECT \"id\" FROM ${experimentsTable} WHERE ${['\"id\" = $1', ...conditions].join(' AND ')} FOR UPDATE`;\n\n await this.#db.client.tx(async t => {\n const parent = await t.oneOrNone(gateSql, [experimentId, ...params]);\n if (!parent) return;\n await t.none(`DELETE FROM ${tableName} WHERE \"experimentId\" = $1`, [experimentId]);\n });\n return;\n }\n\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE \"experimentId\" = $1`, [experimentId]);\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_EXPERIMENT_RESULTS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n // --- Aggregation ---\n\n async getReviewSummary(): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_EXPERIMENT_RESULTS, schemaName: getSchemaName(this.#schema) });\n const rows = await this.#db.readClient.manyOrNone(\n `SELECT\n \"experimentId\",\n COUNT(*)::int as total,\n SUM(CASE WHEN status = 'needs-review' THEN 1 ELSE 0 END)::int as \"needsReview\",\n SUM(CASE WHEN status = 'reviewed' THEN 1 ELSE 0 END)::int as reviewed,\n SUM(CASE WHEN status = 'complete' THEN 1 ELSE 0 END)::int as complete\n FROM ${tableName}\n GROUP BY \"experimentId\"`,\n );\n\n return (rows || []).map(row => ({\n experimentId: row.experimentId as string,\n total: Number(row.total ?? 0),\n needsReview: Number(row.needsReview ?? 0),\n reviewed: Number(row.reviewed ?? 0),\n complete: Number(row.complete ?? 0),\n }));\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_REVIEW_SUMMARY', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n // --- Clear ---\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_EXPERIMENT_RESULTS });\n await this.#db.clearTable({ tableName: TABLE_EXPERIMENTS });\n }\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport {\n FavoritesStorage,\n createStorageErrorId,\n TABLE_AGENTS,\n TABLE_SKILLS,\n TABLE_FAVORITES,\n TABLE_SCHEMAS,\n} from '@mastra/core/storage';\nimport type {\n StorageDeleteFavoritesForEntityInput,\n StorageIsFavoritedBatchInput,\n StorageListFavoritesInput,\n StorageFavoriteEntityType,\n StorageFavoriteKey,\n} from '@mastra/core/storage';\nimport type { FavoriteToggleResult } from '@mastra/core/storage/domains/favorites';\n\nimport { PgDB, resolvePgConfig, generateTableSQL } from '../../db';\nimport type { PgDomainConfig } from '../../db';\nimport { getTableName, getSchemaName } from '../utils';\n\n/**\n * Maps a favorite entity type to its parent entity table.\n */\nconst ENTITY_TABLE: Record = {\n agent: TABLE_AGENTS,\n skill: TABLE_SKILLS,\n};\n\nexport class FavoritesPG extends FavoritesStorage {\n #db: PgDB;\n #schema: string;\n\n static readonly MANAGED_TABLES = [TABLE_FAVORITES] as const;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n }\n\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n for (const tableName of FavoritesPG.MANAGED_TABLES) {\n statements.push(\n generateTableSQL({\n tableName,\n schema: TABLE_SCHEMAS[tableName],\n schemaName,\n compositePrimaryKey: ['userId', 'entityType', 'entityId'],\n includeAllConstraints: true,\n }),\n );\n }\n // Lookup index for entity-scoped queries — must mirror init().\n const fullFavoritesTable = getTableName({ indexName: TABLE_FAVORITES, schemaName: getSchemaName(schemaName) });\n statements.push(\n `CREATE INDEX IF NOT EXISTS idx_favorites_entity ON ${fullFavoritesTable} (\"entityType\", \"entityId\");`,\n );\n return statements;\n }\n\n async init(): Promise {\n await this.#db.createTable({\n tableName: TABLE_FAVORITES,\n schema: TABLE_SCHEMAS[TABLE_FAVORITES],\n compositePrimaryKey: ['userId', 'entityType', 'entityId'],\n });\n\n // Lookup index for entity-scoped queries (cascade delete, count rebuild).\n const fullTableName = getTableName({ indexName: TABLE_FAVORITES, schemaName: getSchemaName(this.#schema) });\n await this.#db.createIndexFromStatement(\n 'idx_favorites_entity',\n `CREATE INDEX IF NOT EXISTS idx_favorites_entity ON ${fullTableName} (\"entityType\", \"entityId\")`,\n );\n }\n\n async dangerouslyClearAll(): Promise {\n const fullTableName = getTableName({ indexName: TABLE_FAVORITES, schemaName: getSchemaName(this.#schema) });\n const fullAgentsTable = getTableName({ indexName: TABLE_AGENTS, schemaName: getSchemaName(this.#schema) });\n const fullSkillsTable = getTableName({ indexName: TABLE_SKILLS, schemaName: getSchemaName(this.#schema) });\n await this.#db.client.tx(async t => {\n await t.none(`DELETE FROM ${fullTableName}`);\n // Reset denormalized counters on parent entities so reads don't return stale counts.\n await t.none(`UPDATE ${fullAgentsTable} SET \"favoriteCount\" = 0 WHERE \"favoriteCount\" > 0`);\n await t.none(`UPDATE ${fullSkillsTable} SET \"favoriteCount\" = 0 WHERE \"favoriteCount\" > 0`);\n });\n }\n\n async favorite(input: StorageFavoriteKey): Promise {\n const { userId, entityType, entityId } = input;\n const entityTable = ENTITY_TABLE[entityType];\n const fullFavoritesTable = getTableName({ indexName: TABLE_FAVORITES, schemaName: getSchemaName(this.#schema) });\n const fullEntityTable = getTableName({ indexName: entityTable, schemaName: getSchemaName(this.#schema) });\n\n try {\n return await this.#db.client.tx(async t => {\n // Verify entity exists; throw before any mutation if not.\n const entityRow = await t.oneOrNone(`SELECT \"favoriteCount\" FROM ${fullEntityTable} WHERE id = $1`, [entityId]);\n if (!entityRow) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'FAVORITE', 'ENTITY_NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: `${entityType} ${entityId} not found`,\n details: { entityType, entityId },\n });\n }\n\n // Idempotent insert.\n const inserted = await t.oneOrNone(\n `INSERT INTO ${fullFavoritesTable} (\"userId\", \"entityType\", \"entityId\", \"createdAt\", \"createdAtZ\")\n VALUES ($1, $2, $3, $4, $5)\n ON CONFLICT (\"userId\", \"entityType\", \"entityId\") DO NOTHING\n RETURNING \"userId\"`,\n [userId, entityType, entityId, new Date().toISOString(), new Date().toISOString()],\n );\n\n if (inserted) {\n await t.none(\n `UPDATE ${fullEntityTable} SET \"favoriteCount\" = COALESCE(\"favoriteCount\", 0) + 1 WHERE id = $1`,\n [entityId],\n );\n }\n\n const after = await t.one(`SELECT \"favoriteCount\" FROM ${fullEntityTable} WHERE id = $1`, [entityId]);\n const favoriteCount = Number(after.favoriteCount ?? 0);\n return { favorited: true, favoriteCount };\n });\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'FAVORITE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { entityType, entityId },\n },\n error,\n );\n }\n }\n\n async unfavorite(input: StorageFavoriteKey): Promise {\n const { userId, entityType, entityId } = input;\n const entityTable = ENTITY_TABLE[entityType];\n const fullFavoritesTable = getTableName({ indexName: TABLE_FAVORITES, schemaName: getSchemaName(this.#schema) });\n const fullEntityTable = getTableName({ indexName: entityTable, schemaName: getSchemaName(this.#schema) });\n\n try {\n return await this.#db.client.tx(async t => {\n const entityRow = await t.oneOrNone(`SELECT \"favoriteCount\" FROM ${fullEntityTable} WHERE id = $1`, [entityId]);\n if (!entityRow) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UNFAVORITE', 'ENTITY_NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: `${entityType} ${entityId} not found`,\n details: { entityType, entityId },\n });\n }\n\n const deleted = await t.oneOrNone(\n `DELETE FROM ${fullFavoritesTable} WHERE \"userId\" = $1 AND \"entityType\" = $2 AND \"entityId\" = $3 RETURNING \"userId\"`,\n [userId, entityType, entityId],\n );\n\n if (deleted) {\n await t.none(\n `UPDATE ${fullEntityTable} SET \"favoriteCount\" = GREATEST(COALESCE(\"favoriteCount\", 0) - 1, 0) WHERE id = $1`,\n [entityId],\n );\n }\n\n const after = await t.one(`SELECT \"favoriteCount\" FROM ${fullEntityTable} WHERE id = $1`, [entityId]);\n const favoriteCount = Number(after.favoriteCount ?? 0);\n return { favorited: false, favoriteCount };\n });\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UNFAVORITE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { entityType, entityId },\n },\n error,\n );\n }\n }\n\n async isFavorited(input: StorageFavoriteKey): Promise {\n const fullFavoritesTable = getTableName({ indexName: TABLE_FAVORITES, schemaName: getSchemaName(this.#schema) });\n try {\n const result = await this.#db.readClient.oneOrNone(\n `SELECT 1 FROM ${fullFavoritesTable} WHERE \"userId\" = $1 AND \"entityType\" = $2 AND \"entityId\" = $3 LIMIT 1`,\n [input.userId, input.entityType, input.entityId],\n );\n return result !== null;\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'IS_FAVORITED', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async isFavoritedBatch(input: StorageIsFavoritedBatchInput): Promise> {\n const { userId, entityType, entityIds } = input;\n if (entityIds.length === 0) {\n return new Set();\n }\n const fullFavoritesTable = getTableName({ indexName: TABLE_FAVORITES, schemaName: getSchemaName(this.#schema) });\n try {\n const placeholders = entityIds.map((_, i) => `$${i + 3}`).join(', ');\n const rows = await this.#db.readClient.manyOrNone<{ entityId: string }>(\n `SELECT \"entityId\" FROM ${fullFavoritesTable} WHERE \"userId\" = $1 AND \"entityType\" = $2 AND \"entityId\" IN (${placeholders})`,\n [userId, entityType, ...entityIds],\n );\n const set = new Set();\n for (const row of rows ?? []) {\n set.add(row.entityId);\n }\n return set;\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'IS_FAVORITED_BATCH', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async listFavoritedIds(input: StorageListFavoritesInput): Promise {\n const fullFavoritesTable = getTableName({ indexName: TABLE_FAVORITES, schemaName: getSchemaName(this.#schema) });\n try {\n const rows = await this.#db.readClient.manyOrNone<{ entityId: string }>(\n `SELECT \"entityId\" FROM ${fullFavoritesTable} WHERE \"userId\" = $1 AND \"entityType\" = $2 ORDER BY \"createdAt\" DESC, \"entityId\" ASC`,\n [input.userId, input.entityType],\n );\n return (rows ?? []).map(row => row.entityId);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_FAVORITED_IDS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async deleteFavoritesForEntity(input: StorageDeleteFavoritesForEntityInput): Promise {\n const fullFavoritesTable = getTableName({ indexName: TABLE_FAVORITES, schemaName: getSchemaName(this.#schema) });\n const entityTable = ENTITY_TABLE[input.entityType];\n const fullEntityTable = getTableName({ indexName: entityTable, schemaName: getSchemaName(this.#schema) });\n try {\n return await this.#db.client.tx(async t => {\n // Use a CTE so the server returns the count without materializing each\n // deleted row. For a hot cascade path this is meaningfully cheaper than\n // round-tripping every userId back to the client.\n const result = await t.one<{ count: string }>(\n `WITH deleted AS (\n DELETE FROM ${fullFavoritesTable} WHERE \"entityType\" = $1 AND \"entityId\" = $2 RETURNING 1\n )\n SELECT COUNT(*)::text AS count FROM deleted`,\n [input.entityType, input.entityId],\n );\n // Reset the parent entity's favoriteCount so stale counts don't linger\n // when the entity itself isn't being deleted in the same operation.\n await t.none(`UPDATE ${fullEntityTable} SET \"favoriteCount\" = 0 WHERE id = $1`, [input.entityId]);\n return Number(result.count);\n });\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_FAVORITES_FOR_ENTITY', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { entityType: input.entityType, entityId: input.entityId },\n },\n error,\n );\n }\n }\n}\n","import {\n assertKnowledgeCeilingRaised,\n assertKnowledgeScopeWithinCeiling,\n canonicalizeKnowledgeScope,\n createKnowledgeUlid,\n isKnowledgeScopeVisible,\n KNOWLEDGE_ACTIVITY_SCHEMA,\n KNOWLEDGE_CURSORS_SCHEMA,\n KNOWLEDGE_RECORDS_SCHEMA,\n KNOWLEDGE_MENTIONS_SCHEMA,\n KNOWLEDGE_NODES_SCHEMA,\n KNOWLEDGE_SEMANTIC_OUTBOX_SCHEMA,\n knowledgeScopeKey,\n knowledgeSemanticDocumentId,\n knowledgeSemanticIdempotencyKey,\n KnowledgeConflictError,\n KnowledgeNotFoundError,\n KnowledgeStorage,\n parseKnowledgeNodeCursor,\n parseKnowledgeWikilinks,\n TABLE_KNOWLEDGE_ACTIVITY,\n TABLE_KNOWLEDGE_CURSORS,\n TABLE_KNOWLEDGE_RECORDS,\n TABLE_KNOWLEDGE_MENTIONS,\n TABLE_KNOWLEDGE_NODES,\n TABLE_KNOWLEDGE_SEMANTIC_OUTBOX,\n} from '@mastra/core/storage';\nimport type {\n AppendKnowledgeInput,\n ClaimKnowledgeSemanticOutboxInput,\n CreateKnowledgeNodeInput,\n KnowledgeActivityAction,\n KnowledgeActivityEvent,\n KnowledgeCurationCursor,\n KnowledgeNode,\n KnowledgeRecord,\n KnowledgeScope,\n KnowledgeSemanticDocumentType,\n KnowledgeSemanticOperation,\n KnowledgeSemanticOutboxEntry,\n QueryKnowledgeBySourceInput,\n QueryKnowledgeInput,\n QueryKnowledgeOutput,\n ListKnowledgeNodesInput,\n SearchKnowledgeInput,\n SearchKnowledgeResult,\n UpdateKnowledgeNodeInput,\n} from '@mastra/core/storage';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\n\nimport type { QueryValues, TxClient } from '../../client';\nimport { generateTableSQL, PgDB, resolvePgConfig } from '../../db';\nimport type { DbClient, PgDomainConfig } from '../../db';\n\n// #21830 shipped this helper in core 1.63.1; resolve it lazily so an older\n// installed core fails feature-detection instead of breaking module load.\nlet assertDescriptionWithinBound: ((description: string | undefined) => void) | undefined;\nasync function assertKnowledgeDescriptionWithinBoundCompat(description: string | undefined): Promise {\n let assertWithinBound = assertDescriptionWithinBound;\n if (!assertWithinBound) {\n const mod: Partial = await import('@mastra/core/storage');\n const resolvedAssert: (description: string | undefined) => void =\n mod.assertKnowledgeDescriptionWithinBound ??\n (value => {\n if (value !== undefined && value.length > 400) {\n throw new Error('Knowledge node description exceeds the 400 UTF-16 code unit limit');\n }\n });\n assertDescriptionWithinBound = resolvedAssert;\n assertWithinBound = resolvedAssert;\n }\n assertWithinBound(description);\n}\n\ninterface QueryResult {\n rows: Record[];\n rowsAffected: number;\n}\n\ninterface Executor {\n execute(statement: string | { sql: string; args?: QueryValues }): Promise;\n}\n\nconst camelCaseColumns = [\n 'canonicalName',\n 'scopeKey',\n 'mergedInto',\n 'createdAt',\n 'updatedAt',\n 'node',\n 'sourceThreadId',\n 'capturedAt',\n 'maxScope',\n 'deletedAt',\n 'deletedBy',\n 'sourceType',\n 'sourceId',\n 'recordId',\n 'lastKnowledgeId',\n 'recordType',\n 'idempotencyKey',\n 'documentId',\n 'documentType',\n 'availableAt',\n 'claimedAt',\n 'claimedBy',\n 'completedAt',\n] as const;\n\nfunction transformSqlCode(sql: string, transform: (code: string) => string): string {\n return sql\n .split(/('(?:''|[^'])*')/g)\n .map((part, index) => (index % 2 === 0 ? transform(part) : part))\n .join('');\n}\n\nexport function postgresSql(sql: string, schemaName?: string): string {\n let normalized = transformSqlCode(sql, code => {\n let transformed = code.replace(/jsonb\\(\\?\\)/g, '?::jsonb');\n for (const column of camelCaseColumns) {\n transformed = transformed.replace(new RegExp(`(? {\n let transformed = code;\n for (const table of [\n TABLE_KNOWLEDGE_NODES,\n TABLE_KNOWLEDGE_RECORDS,\n TABLE_KNOWLEDGE_MENTIONS,\n TABLE_KNOWLEDGE_CURSORS,\n TABLE_KNOWLEDGE_ACTIVITY,\n TABLE_KNOWLEDGE_SEMANTIC_OUTBOX,\n ]) {\n transformed = transformed.replaceAll(`\"${table}\"`, `${quotedSchema}.\"${table}\"`);\n }\n return transformed;\n });\n }\n let index = 0;\n return transformSqlCode(normalized, code => code.replace(/\\?/g, () => `$${++index}`));\n}\n\nfunction createExecutor(client: Pick | TxClient, schemaName?: string): Executor {\n return {\n async execute(statement) {\n const sql = typeof statement === 'string' ? statement : statement.sql;\n const args = typeof statement === 'string' ? [] : (statement.args ?? []);\n const result = await client.query(postgresSql(sql, schemaName), args);\n return { rows: result.rows as Record[], rowsAffected: result.rowCount ?? 0 };\n },\n };\n}\n\nconst visibleSql = `(scopeKey = ? OR LEFT(?, LENGTH(scopeKey) + 1) = scopeKey || chr(31))`;\n\nfunction parseJson(value: unknown): T {\n if (typeof value === 'string') return JSON.parse(value) as T;\n if (value instanceof Uint8Array) return JSON.parse(new TextDecoder().decode(value)) as T;\n if (value instanceof ArrayBuffer) return JSON.parse(new TextDecoder().decode(value)) as T;\n return value as T;\n}\n\n/**\n * Knowledge timestamps are written as UTC digits into timezone-naive columns\n * ({@link postgresTimestamp} and the ISO strings passed to inserts), but the\n * driver parses naive columns in the process-local timezone. Reinterpret the\n * parsed components as UTC so reads return the digits that were stored.\n */\nfunction toDate(value: unknown): Date {\n if (value instanceof Date) {\n return new Date(\n Date.UTC(\n value.getFullYear(),\n value.getMonth(),\n value.getDate(),\n value.getHours(),\n value.getMinutes(),\n value.getSeconds(),\n value.getMilliseconds(),\n ),\n );\n }\n const text = String(value);\n if (/(Z|[+-]\\d{2}(:?\\d{2})?)$/.test(text)) return new Date(text);\n return new Date(`${text.replace(' ', 'T')}Z`);\n}\n\nfunction optionalDate(value: unknown): Date | undefined {\n return value == null ? undefined : toDate(value);\n}\n\nfunction postgresTimestamp(value: Date): string {\n const pad = (part: number, width = 2) => String(part).padStart(width, '0');\n return `${value.getUTCFullYear()}-${pad(value.getUTCMonth() + 1)}-${pad(value.getUTCDate())} ${pad(value.getUTCHours())}:${pad(value.getUTCMinutes())}:${pad(value.getUTCSeconds())}.${pad(value.getUTCMilliseconds(), 3)}`;\n}\n\nfunction canonicalName(name: string): string {\n return name.trim().toLocaleLowerCase();\n}\n\nfunction nodeReferenceId(node: KnowledgeNode | string): string {\n return typeof node === 'string' ? node : node.id;\n}\n\nfunction escapeLikePattern(value: string): string {\n return value.replaceAll('=', '==').replaceAll('%', '=%').replaceAll('_', '=_');\n}\n\nfunction parseNode(row: Record): KnowledgeNode {\n return {\n id: String(row.id),\n type: 'node',\n name: String(row.name),\n kind: String(row.kind),\n content: row.content == null ? undefined : String(row.content),\n description: row.description == null ? undefined : String(row.description),\n scope: parseJson(row.scopeJson ?? row.scope),\n version: Number(row.version),\n mergedInto: row.mergedInto == null ? undefined : String(row.mergedInto),\n createdAt: toDate(row.createdAt),\n updatedAt: toDate(row.updatedAt),\n };\n}\n\nfunction parseKnowledge(row: Record): KnowledgeRecord {\n return {\n id: String(row.id),\n node: String(row.node),\n text: String(row.text),\n scope: parseJson(row.scopeJson ?? row.scope),\n sourceThreadId: String(row.sourceThreadId),\n capturedAt: toDate(row.capturedAt),\n when: optionalDate(row.when),\n maxScope: row.maxScope == null ? undefined : (String(row.maxScope) as KnowledgeRecord['maxScope']),\n metadata: row.metadata == null ? undefined : parseJson>(row.metadata),\n deletedAt: optionalDate(row.deletedAt),\n deletedBy: row.deletedBy == null ? undefined : String(row.deletedBy),\n };\n}\n\nfunction parseOutbox(row: Record): KnowledgeSemanticOutboxEntry {\n return {\n id: String(row.id),\n idempotencyKey: String(row.idempotencyKey),\n documentId: String(row.documentId),\n documentType: String(row.documentType) as KnowledgeSemanticDocumentType,\n operation: String(row.operation) as KnowledgeSemanticOperation,\n scope: parseJson(row.scopeJson ?? row.scope),\n status: String(row.status) as KnowledgeSemanticOutboxEntry['status'],\n attempts: Number(row.attempts),\n availableAt: toDate(row.availableAt),\n claimedAt: optionalDate(row.claimedAt),\n claimedBy: row.claimedBy == null ? undefined : String(row.claimedBy),\n createdAt: toDate(row.createdAt),\n completedAt: optionalDate(row.completedAt),\n };\n}\n\nfunction knowledgeIndexes(schemaName?: string): Array<{ name: string; sql: string }> {\n const table = (name: string) => {\n const quotedName = `\"${parseSqlIdentifier(name, 'table name')}\"`;\n return schemaName ? `\"${parseSqlIdentifier(schemaName, 'schema name')}\".${quotedName}` : quotedName;\n };\n return [\n {\n name: 'idx_knowledge_nodes_identity',\n sql: `CREATE UNIQUE INDEX IF NOT EXISTS idx_knowledge_nodes_identity ON ${table(TABLE_KNOWLEDGE_NODES)} (\"type\", \"scopeKey\", \"canonicalName\");`,\n },\n {\n name: 'idx_knowledge_nodes_scope',\n sql: `CREATE INDEX IF NOT EXISTS idx_knowledge_nodes_scope ON ${table(TABLE_KNOWLEDGE_NODES)} (\"scopeKey\", \"type\");`,\n },\n {\n name: 'idx_knowledge_records_node_latest',\n sql: `CREATE INDEX IF NOT EXISTS idx_knowledge_records_node_latest ON ${table(TABLE_KNOWLEDGE_RECORDS)} (\"node\", \"id\" DESC);`,\n },\n {\n name: 'idx_knowledge_records_thread_latest',\n sql: `CREATE INDEX IF NOT EXISTS idx_knowledge_records_thread_latest ON ${table(TABLE_KNOWLEDGE_RECORDS)} (\"sourceThreadId\", \"id\" DESC);`,\n },\n {\n name: 'idx_knowledge_mentions_record',\n sql: `CREATE INDEX IF NOT EXISTS idx_knowledge_mentions_record ON ${table(TABLE_KNOWLEDGE_MENTIONS)} (\"recordId\", \"sourceType\", \"sourceId\");`,\n },\n {\n name: 'idx_knowledge_activity_latest',\n sql: `CREATE INDEX IF NOT EXISTS idx_knowledge_activity_latest ON ${table(TABLE_KNOWLEDGE_ACTIVITY)} (\"id\" DESC);`,\n },\n {\n name: 'idx_knowledge_outbox_idempotency',\n sql: `CREATE UNIQUE INDEX IF NOT EXISTS idx_knowledge_outbox_idempotency ON ${table(TABLE_KNOWLEDGE_SEMANTIC_OUTBOX)} (\"idempotencyKey\");`,\n },\n {\n name: 'idx_knowledge_outbox_claim',\n sql: `CREATE INDEX IF NOT EXISTS idx_knowledge_outbox_claim ON ${table(TABLE_KNOWLEDGE_SEMANTIC_OUTBOX)} (\"status\", \"availableAt\", \"createdAt\");`,\n },\n ];\n}\n\nfunction knowledgeIndexDDL(schemaName?: string): string[] {\n return knowledgeIndexes(schemaName).map(index => index.sql);\n}\n\nexport class KnowledgePG extends KnowledgeStorage {\n static readonly MANAGED_TABLES = [\n TABLE_KNOWLEDGE_NODES,\n TABLE_KNOWLEDGE_RECORDS,\n TABLE_KNOWLEDGE_MENTIONS,\n TABLE_KNOWLEDGE_CURSORS,\n TABLE_KNOWLEDGE_ACTIVITY,\n TABLE_KNOWLEDGE_SEMANTIC_OUTBOX,\n ] as const;\n\n static getExportDDL(schemaName?: string): string[] {\n return [\n generateTableSQL({\n tableName: TABLE_KNOWLEDGE_NODES,\n schema: KNOWLEDGE_NODES_SCHEMA,\n schemaName,\n includeAllConstraints: true,\n }),\n generateTableSQL({\n tableName: TABLE_KNOWLEDGE_RECORDS,\n schema: KNOWLEDGE_RECORDS_SCHEMA,\n schemaName,\n includeAllConstraints: true,\n }),\n generateTableSQL({\n tableName: TABLE_KNOWLEDGE_MENTIONS,\n schema: KNOWLEDGE_MENTIONS_SCHEMA,\n schemaName,\n compositePrimaryKey: ['sourceType', 'sourceId', 'recordId'],\n includeAllConstraints: true,\n }),\n generateTableSQL({\n tableName: TABLE_KNOWLEDGE_CURSORS,\n schema: KNOWLEDGE_CURSORS_SCHEMA,\n schemaName,\n compositePrimaryKey: ['sourceThreadId', 'agent'],\n includeAllConstraints: true,\n }),\n generateTableSQL({\n tableName: TABLE_KNOWLEDGE_ACTIVITY,\n schema: KNOWLEDGE_ACTIVITY_SCHEMA,\n schemaName,\n includeAllConstraints: true,\n }),\n generateTableSQL({\n tableName: TABLE_KNOWLEDGE_SEMANTIC_OUTBOX,\n schema: KNOWLEDGE_SEMANTIC_OUTBOX_SCHEMA,\n schemaName,\n includeAllConstraints: true,\n }),\n ...knowledgeIndexDDL(schemaName),\n ];\n }\n\n readonly #client: DbClient;\n readonly #executor: Executor;\n /** Reader-backed executor for standalone reads; mutations and read-modify-write stay on #executor. */\n readonly #readExecutor: Executor;\n readonly #db: PgDB;\n readonly #schemaName?: string;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes } = resolvePgConfig(config);\n this.#client = client;\n this.#schemaName = schemaName;\n this.#executor = createExecutor(client, schemaName);\n this.#readExecutor = createExecutor(readClient, schemaName);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n }\n\n async init(): Promise {\n await this.#db.createTable({ tableName: TABLE_KNOWLEDGE_NODES, schema: KNOWLEDGE_NODES_SCHEMA });\n // Add description column for backwards compatibility with existing databases\n await this.#db.alterTable({\n tableName: TABLE_KNOWLEDGE_NODES,\n schema: KNOWLEDGE_NODES_SCHEMA,\n ifNotExists: ['description'],\n });\n await this.#db.createTable({ tableName: TABLE_KNOWLEDGE_RECORDS, schema: KNOWLEDGE_RECORDS_SCHEMA });\n await this.#db.createTable({\n tableName: TABLE_KNOWLEDGE_MENTIONS,\n schema: KNOWLEDGE_MENTIONS_SCHEMA,\n compositePrimaryKey: ['sourceType', 'sourceId', 'recordId'],\n });\n await this.#db.createTable({\n tableName: TABLE_KNOWLEDGE_CURSORS,\n schema: KNOWLEDGE_CURSORS_SCHEMA,\n compositePrimaryKey: ['sourceThreadId', 'agent'],\n });\n await this.#db.createTable({ tableName: TABLE_KNOWLEDGE_ACTIVITY, schema: KNOWLEDGE_ACTIVITY_SCHEMA });\n await this.#db.createTable({\n tableName: TABLE_KNOWLEDGE_SEMANTIC_OUTBOX,\n schema: KNOWLEDGE_SEMANTIC_OUTBOX_SCHEMA,\n });\n await Promise.all(\n knowledgeIndexes(this.#schemaName).map(index => this.#db.createIndexFromStatement(index.name, index.sql)),\n );\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#transaction(async tx => {\n for (const table of [\n TABLE_KNOWLEDGE_MENTIONS,\n TABLE_KNOWLEDGE_RECORDS,\n TABLE_KNOWLEDGE_NODES,\n TABLE_KNOWLEDGE_CURSORS,\n TABLE_KNOWLEDGE_ACTIVITY,\n TABLE_KNOWLEDGE_SEMANTIC_OUTBOX,\n ]) {\n await tx.execute(`DELETE FROM \"${table}\"`);\n }\n });\n }\n\n async createNode(input: CreateKnowledgeNodeInput): Promise {\n await assertKnowledgeDescriptionWithinBoundCompat(input.description);\n const scope = canonicalizeKnowledgeScope(input.scope);\n return this.#transaction(async tx => {\n const existing = await this.#getNodeByName(tx, input.name, scope);\n if (existing) {\n const terminal = (await this.#resolveTerminalNode(tx, existing.id))!;\n if (!isKnowledgeScopeVisible(terminal.scope, scope)) {\n throw new Error(`Merged knowledge node is not visible from scope: ${input.name}`);\n }\n return terminal;\n }\n const now = new Date();\n const node: KnowledgeNode = {\n id: input.id ?? crypto.randomUUID(),\n type: 'node',\n name: input.name.trim(),\n kind: input.kind,\n content: input.content,\n description: input.description,\n scope,\n version: 1,\n createdAt: now,\n updatedAt: now,\n };\n await tx.execute({\n sql: `INSERT INTO \"${TABLE_KNOWLEDGE_NODES}\" (id,type,name,canonicalName,kind,content,description,scope,scopeKey,version,mergedInto,createdAt,updatedAt) VALUES (?,?,?,?,?,?,?,jsonb(?),?,?,NULL,?,?)`,\n args: [\n node.id,\n 'node',\n node.name,\n canonicalName(node.name),\n node.kind,\n node.content ?? null,\n node.description ?? null,\n JSON.stringify(scope),\n knowledgeScopeKey(scope),\n node.version,\n now.toISOString(),\n now.toISOString(),\n ],\n });\n await this.#replaceMentions(tx, 'node', node.id, node.content ?? '', input.resolutionScope ?? scope, scope);\n await this.#activity(tx, 'node-created', 'node', node.id, scope);\n await this.#outbox(tx, 'node', node.id, 'upsert', node.version, scope);\n return node;\n });\n }\n\n async getNode(id: string): Promise {\n return this.#getNode(this.#readExecutor, id);\n }\n\n async getNodeByName(input: { name: string; scope: KnowledgeScope }): Promise {\n return this.#getNodeByName(this.#readExecutor, input.name, canonicalizeKnowledgeScope(input.scope));\n }\n\n async resolveNode(input: { name: string; scope: KnowledgeScope }): Promise {\n return this.#resolveNode(this.#readExecutor, input.name, canonicalizeKnowledgeScope(input.scope));\n }\n\n async listNodes(input: ListKnowledgeNodesInput): Promise {\n const scope = canonicalizeKnowledgeScope(input.scope);\n const key = knowledgeScopeKey(scope);\n const clauses = [`type = 'node'`, 'mergedInto IS NULL', visibleSql];\n const args: QueryValues = [key, key];\n if (input.namePrefix) {\n clauses.push(\"canonicalName LIKE ? ESCAPE '='\");\n args.push(`${escapeLikePattern(canonicalName(input.namePrefix))}%`);\n }\n if (input.kind) {\n clauses.push('kind = ?');\n args.push(input.kind);\n }\n if (input.hasContent !== undefined)\n clauses.push(input.hasContent ? \"content IS NOT NULL AND content <> ''\" : \"(content IS NULL OR content = '')\");\n if (input.cursor) {\n const cursor = parseKnowledgeNodeCursor(input.cursor, {\n namePrefix: input.namePrefix,\n kind: input.kind,\n hasContent: input.hasContent,\n });\n const updatedAt = postgresTimestamp(cursor.updatedAt);\n clauses.push('(updatedAt < ? OR (updatedAt = ? AND (name > ? OR (name = ? AND id > ?))))');\n args.push(updatedAt, updatedAt, cursor.name, cursor.name, cursor.id);\n }\n args.push(input.limit ?? 100);\n const result = await this.#readExecutor.execute({\n sql: `SELECT *, scope AS \"scopeJson\" FROM \"${TABLE_KNOWLEDGE_NODES}\" WHERE ${clauses.join(' AND ')} ORDER BY updatedAt DESC, name ASC, id ASC LIMIT ?`,\n args,\n });\n return result.rows.map(parseNode);\n }\n\n async updateNode(input: UpdateKnowledgeNodeInput): Promise {\n await assertKnowledgeDescriptionWithinBoundCompat(input.description);\n return this.#transaction(async tx => {\n const existing = await this.#getNode(tx, input.id);\n if (!existing) throw new KnowledgeNotFoundError('node', input.id);\n if (existing.mergedInto) throw new Error(`Cannot update merged knowledge node: ${input.id}`);\n const scope = canonicalizeKnowledgeScope(input.scope ?? existing.scope);\n const name = (input.name ?? existing.name).trim();\n const content = input.content ?? existing.content;\n const description = input.description ?? existing.description;\n const now = new Date();\n const result = await tx.execute({\n sql: `UPDATE \"${TABLE_KNOWLEDGE_NODES}\" SET name=?,canonicalName=?,kind=?,content=?,description=?,scope=jsonb(?),scopeKey=?,version=version+1,updatedAt=? WHERE id=? AND type='node' AND version=?`,\n args: [\n name,\n canonicalName(name),\n input.kind ?? existing.kind,\n content ?? null,\n description ?? null,\n JSON.stringify(scope),\n knowledgeScopeKey(scope),\n now.toISOString(),\n input.id,\n input.version,\n ],\n });\n if (result.rowsAffected === 0) throw new KnowledgeConflictError(input.id);\n if (input.content !== undefined || input.name !== undefined || input.scope !== undefined) {\n await this.#replaceMentions(tx, 'node', input.id, content ?? '', input.resolutionScope ?? scope, scope);\n }\n await this.#activity(tx, 'node-updated', 'node', input.id, scope);\n if (knowledgeScopeKey(existing.scope) !== knowledgeScopeKey(scope)) {\n await this.#outbox(tx, 'node', input.id, 'delete', createKnowledgeUlid(), existing.scope);\n const records = await tx.execute({\n sql: `SELECT id,scope AS \"scopeJson\",deletedAt FROM \"${TABLE_KNOWLEDGE_RECORDS}\" WHERE node=?`,\n args: [input.id],\n });\n for (const row of records.rows) {\n const factScope = parseJson(row.scopeJson);\n await this.#outbox(tx, 'record', String(row.id), 'delete', createKnowledgeUlid(), factScope);\n if (row.deletedAt == null) {\n await this.#outbox(tx, 'record', String(row.id), 'upsert', createKnowledgeUlid(), factScope);\n }\n }\n }\n await this.#outbox(tx, 'node', input.id, 'upsert', input.version + 1, scope);\n return {\n ...existing,\n name,\n kind: input.kind ?? existing.kind,\n content,\n description,\n scope,\n version: input.version + 1,\n updatedAt: now,\n };\n });\n }\n\n async mergeNodes(input: { sourceId: string; targetId: string; sourceVersion: number }): Promise {\n if (input.sourceId === input.targetId) throw new Error('Cannot merge a knowledge node into itself');\n return this.#transaction(async tx => {\n const source = await this.#getNode(tx, input.sourceId);\n if (!source) throw new KnowledgeNotFoundError('node', input.sourceId);\n const target = await this.#resolveTerminalNode(tx, input.targetId);\n if (!target) throw new KnowledgeNotFoundError('node', input.targetId);\n if (target.id === source.id) throw new Error('Cannot create a knowledge merge cycle');\n if (!isKnowledgeScopeVisible(target.scope, source.scope)) {\n throw new Error('Cannot merge a knowledge node into a target that is narrower than its source scope');\n }\n const affected = await tx.execute({\n sql: `SELECT DISTINCT m.sourceType,m.sourceId,COALESCE(f.scope,r.scope) AS \"scopeJson\",CASE WHEN f.deletedAt IS NULL THEN 0 ELSE 1 END AS deleted FROM \"${TABLE_KNOWLEDGE_MENTIONS}\" m LEFT JOIN \"${TABLE_KNOWLEDGE_RECORDS}\" f ON m.sourceType='record' AND f.id=m.sourceId LEFT JOIN \"${TABLE_KNOWLEDGE_NODES}\" r ON m.sourceType='node' AND r.id=m.sourceId WHERE m.recordId=?`,\n args: [source.id],\n });\n const movedFacts = await tx.execute({\n sql: `SELECT id,scope AS \"scopeJson\",deletedAt FROM \"${TABLE_KNOWLEDGE_RECORDS}\" WHERE node=?`,\n args: [source.id],\n });\n const updated = await tx.execute({\n sql: `UPDATE \"${TABLE_KNOWLEDGE_NODES}\" SET mergedInto=?,version=version+1,updatedAt=? WHERE id=? AND type='node' AND version=? AND mergedInto IS NULL`,\n args: [target.id, new Date().toISOString(), source.id, input.sourceVersion],\n });\n if (updated.rowsAffected === 0) throw new KnowledgeConflictError(source.id);\n await tx.execute({\n sql: `UPDATE \"${TABLE_KNOWLEDGE_RECORDS}\" SET node=? WHERE node=?`,\n args: [target.id, source.id],\n });\n await tx.execute({\n sql: `DELETE FROM \"${TABLE_KNOWLEDGE_MENTIONS}\" WHERE recordId=? AND EXISTS (SELECT 1 FROM \"${TABLE_KNOWLEDGE_MENTIONS}\" target WHERE target.sourceType=\"${TABLE_KNOWLEDGE_MENTIONS}\".sourceType AND target.sourceId=\"${TABLE_KNOWLEDGE_MENTIONS}\".sourceId AND target.recordId=?)`,\n args: [source.id, target.id],\n });\n await tx.execute({\n sql: `UPDATE \"${TABLE_KNOWLEDGE_MENTIONS}\" SET recordId=? WHERE recordId=?`,\n args: [target.id, source.id],\n });\n for (const row of movedFacts.rows)\n await this.#outbox(\n tx,\n 'record',\n String(row.id),\n row.deletedAt == null ? 'upsert' : 'delete',\n createKnowledgeUlid(),\n parseJson(row.scopeJson),\n );\n for (const row of affected.rows)\n await this.#outbox(\n tx,\n String(row.sourceType) as 'record' | 'node',\n String(row.sourceId),\n Number(row.deleted) ? 'delete' : 'upsert',\n createKnowledgeUlid(),\n parseJson(row.scopeJson),\n );\n // Merge matrix: a target that NEVER had a description (undefined — '' is an explicit curator\n // clear and wins) adopts the source's; otherwise the target's state is preserved.\n let mergedTarget = target;\n if (target.description === undefined && source.description) {\n const adoptedAt = new Date();\n // Adoption is conditional on the target state this merge observed: a concurrent write (a new\n // description, or an intentional '' clear) bumps the version and loses the predicate, so the\n // merge leaves that newer value alone instead of clobbering it with the source's synopsis.\n const adopted = await tx.execute({\n sql: `UPDATE \"${TABLE_KNOWLEDGE_NODES}\" SET description=?,version=version+1,updatedAt=? WHERE id=? AND type='node' AND version=? AND description IS NULL`,\n args: [source.description, adoptedAt.toISOString(), target.id, target.version],\n });\n if (adopted.rowsAffected > 0) {\n mergedTarget = {\n ...target,\n description: source.description,\n version: target.version + 1,\n updatedAt: adoptedAt,\n };\n await this.#activity(tx, 'node-updated', 'node', target.id, target.scope);\n }\n }\n await this.#activity(tx, 'node-merged', 'node', source.id, source.scope);\n await this.#outbox(tx, 'node', source.id, 'delete', input.sourceVersion + 1, source.scope);\n await this.#outbox(tx, 'node', target.id, 'upsert', createKnowledgeUlid(), mergedTarget.scope);\n return mergedTarget;\n });\n }\n\n async appendKnowledge(input: AppendKnowledgeInput): Promise {\n const scope = canonicalizeKnowledgeScope(input.scope);\n const resolutionScope = canonicalizeKnowledgeScope(input.resolutionScope);\n const defaultScope = canonicalizeKnowledgeScope(input.defaultScope);\n assertKnowledgeScopeWithinCeiling(scope, input.maxScope);\n return this.#transaction(async tx => {\n const parent = await this.#resolveTerminalNode(tx, nodeReferenceId(input.node));\n if (!parent) throw new KnowledgeNotFoundError('node', nodeReferenceId(input.node));\n const record: KnowledgeRecord = {\n id: input.id ?? createKnowledgeUlid(),\n node: parent.id,\n text: input.text,\n scope,\n sourceThreadId: input.sourceThreadId,\n capturedAt: new Date(),\n when: input.when ? new Date(input.when) : undefined,\n maxScope: input.maxScope,\n metadata: input.metadata,\n };\n await tx.execute({\n sql: `INSERT INTO \"${TABLE_KNOWLEDGE_RECORDS}\" (id,node,text,scope,scopeKey,sourceThreadId,capturedAt,\"when\",maxScope,metadata,deletedAt,deletedBy) VALUES (?,?,?,jsonb(?),?,?,?,?,?,jsonb(?),NULL,NULL)`,\n args: [\n record.id,\n record.node,\n record.text,\n JSON.stringify(scope),\n knowledgeScopeKey(scope),\n record.sourceThreadId,\n record.capturedAt.toISOString(),\n record.when?.toISOString() ?? null,\n record.maxScope ?? null,\n record.metadata ? JSON.stringify(record.metadata) : null,\n ],\n });\n await this.#replaceMentions(tx, 'record', record.id, record.text, resolutionScope, defaultScope);\n await this.#activity(tx, 'record-created', 'record', record.id, scope, record.sourceThreadId);\n await this.#outbox(tx, 'record', record.id, 'upsert', record.id, scope);\n return record;\n });\n }\n\n async getKnowledge(input: { id: string; includeDeleted?: boolean }): Promise {\n const result = await this.#readExecutor.execute({\n sql: `SELECT *,scope AS \"scopeJson\" FROM \"${TABLE_KNOWLEDGE_RECORDS}\" WHERE id=?${input.includeDeleted ? '' : ' AND deletedAt IS NULL'}`,\n args: [input.id],\n });\n return result.rows[0] ? parseKnowledge(result.rows[0]) : null;\n }\n\n async listKnowledgeAbout(input: QueryKnowledgeInput): Promise {\n return this.#queryKnowledge(input, 'about');\n }\n async listKnowledgeMentioning(input: QueryKnowledgeInput): Promise {\n return this.#queryKnowledge(input, 'mentioning');\n }\n\n async listKnowledgeRelatedTo(input: QueryKnowledgeInput): Promise {\n return this.#queryKnowledge(input, 'related');\n }\n\n async knowledgeBySource(input: QueryKnowledgeBySourceInput): Promise {\n const scope = canonicalizeKnowledgeScope(input.scope);\n const key = knowledgeScopeKey(scope);\n const args: QueryValues = [input.sourceThreadId, key, key];\n if (input.after) args.push(input.after);\n const limit = input.limit ?? 100;\n args.push(limit + 1);\n const result = await this.#readExecutor.execute({\n sql: `SELECT *,scope AS \"scopeJson\" FROM \"${TABLE_KNOWLEDGE_RECORDS}\" WHERE sourceThreadId=? AND ${visibleSql}${input.includeDeleted ? '' : ' AND deletedAt IS NULL'}${input.after ? ' AND id > ?' : ''} ORDER BY id ASC LIMIT ?`,\n args,\n });\n const records = result.rows.map(parseKnowledge);\n return {\n records: records.slice(0, limit),\n nextCursor: records.length > limit ? records[limit - 1]?.id : undefined,\n };\n }\n\n async removeKnowledge(input: { id: string; deletedBy: string }): Promise {\n return this.#transaction(async tx => {\n const record = await this.#getKnowledge(tx, input.id, true);\n if (!record) throw new KnowledgeNotFoundError('record', input.id);\n if (record.deletedAt) return record;\n const deletedAt = new Date();\n await tx.execute({\n sql: `UPDATE \"${TABLE_KNOWLEDGE_RECORDS}\" SET deletedAt=?,deletedBy=? WHERE id=? AND deletedAt IS NULL`,\n args: [deletedAt.toISOString(), input.deletedBy, input.id],\n });\n await this.#activity(tx, 'record-deleted', 'record', input.id, record.scope, record.sourceThreadId);\n await this.#outbox(tx, 'record', input.id, 'delete', deletedAt.toISOString(), record.scope);\n return { ...record, deletedAt, deletedBy: input.deletedBy };\n });\n }\n\n async restoreKnowledge(input: { id: string }): Promise {\n return this.#transaction(async tx => {\n const record = await this.#getKnowledge(tx, input.id, true);\n if (!record) throw new KnowledgeNotFoundError('record', input.id);\n if (!record.deletedAt) return record;\n await tx.execute({\n sql: `UPDATE \"${TABLE_KNOWLEDGE_RECORDS}\" SET deletedAt=NULL,deletedBy=NULL WHERE id=?`,\n args: [input.id],\n });\n await this.#activity(tx, 'record-restored', 'record', input.id, record.scope, record.sourceThreadId);\n await this.#outbox(tx, 'record', input.id, 'upsert', createKnowledgeUlid(), record.scope);\n return { ...record, deletedAt: undefined, deletedBy: undefined };\n });\n }\n\n async rescopeKnowledge(input: { id: string; scope: KnowledgeScope }): Promise {\n const scope = canonicalizeKnowledgeScope(input.scope);\n return this.#transaction(async tx => {\n const record = await this.#getKnowledge(tx, input.id, true);\n if (!record) throw new KnowledgeNotFoundError('record', input.id);\n assertKnowledgeScopeWithinCeiling(scope, record.maxScope);\n await tx.execute({\n sql: `UPDATE \"${TABLE_KNOWLEDGE_RECORDS}\" SET scope=jsonb(?),scopeKey=? WHERE id=?`,\n args: [JSON.stringify(scope), knowledgeScopeKey(scope), input.id],\n });\n await this.#activity(tx, 'record-rescoped', 'record', input.id, scope, record.sourceThreadId);\n if (knowledgeScopeKey(record.scope) !== knowledgeScopeKey(scope))\n await this.#outbox(tx, 'record', input.id, 'delete', createKnowledgeUlid(), record.scope);\n if (!record.deletedAt) await this.#outbox(tx, 'record', input.id, 'upsert', createKnowledgeUlid(), scope);\n return { ...record, scope };\n });\n }\n\n async raiseKnowledgeCeiling(input: { id: string; maxScope?: KnowledgeRecord['maxScope'] }): Promise {\n return this.#transaction(async tx => {\n const record = await this.#getKnowledge(tx, input.id, true);\n if (!record) throw new KnowledgeNotFoundError('record', input.id);\n assertKnowledgeScopeWithinCeiling(record.scope, input.maxScope);\n assertKnowledgeCeilingRaised(record.maxScope, input.maxScope);\n await tx.execute({\n sql: `UPDATE \"${TABLE_KNOWLEDGE_RECORDS}\" SET maxScope=? WHERE id=?`,\n args: [input.maxScope ?? null, input.id],\n });\n return { ...record, maxScope: input.maxScope };\n });\n }\n\n async search(input: SearchKnowledgeInput): Promise {\n const scope = canonicalizeKnowledgeScope(input.scope);\n const key = knowledgeScopeKey(scope);\n const normalizedQuery = input.query.trim().toLocaleLowerCase();\n if (!normalizedQuery) return [];\n const query = `%${escapeLikePattern(normalizedQuery)}%`;\n const records = await this.#readExecutor.execute({\n sql: `SELECT *,scope AS \"scopeJson\" FROM \"${TABLE_KNOWLEDGE_NODES}\" WHERE mergedInto IS NULL AND ${visibleSql} AND (canonicalName LIKE ? ESCAPE '=' OR lower(COALESCE(kind,'')) LIKE ? ESCAPE '=' OR lower(COALESCE(content,'')) LIKE ? ESCAPE '=' OR lower(COALESCE(description,'')) LIKE ? ESCAPE '=') ORDER BY updatedAt DESC LIMIT ?`,\n args: [key, key, query, query, query, query, input.limit ?? 20],\n });\n const results: SearchKnowledgeResult[] = records.rows.map(row => ({\n type: String(row.type) as 'node',\n id: String(row.id),\n recordId: String(row.id),\n name: String(row.name),\n // Description joins the snippet only when present so description-less results stay byte-identical.\n text: [\n String(row.name),\n ...(row.description ? [String(row.description)] : []),\n ...(row.content ? [String(row.content)] : []),\n ].join('\\n'),\n scope: parseJson(row.scopeJson),\n }));\n if (results.length < (input.limit ?? 20)) {\n const records = await this.#readExecutor.execute({\n sql: `SELECT f.*,f.scope AS \"scopeJson\",r.name,r.scope AS \"parentScopeJson\" FROM \"${TABLE_KNOWLEDGE_RECORDS}\" f JOIN \"${TABLE_KNOWLEDGE_NODES}\" r ON r.id=f.node AND r.type='node' AND r.mergedInto IS NULL WHERE f.deletedAt IS NULL AND ${visibleSql.replaceAll('scopeKey', 'f.scopeKey')} AND lower(f.text) LIKE ? ESCAPE '=' ORDER BY f.id DESC LIMIT ?`,\n args: [key, key, query, (input.limit ?? 20) - results.length],\n });\n results.push(\n ...records.rows.map(row => {\n const parentVisible = isKnowledgeScopeVisible(parseJson(row.parentScopeJson), scope);\n return {\n type: 'record' as const,\n id: String(row.id),\n recordId: String(row.node),\n name: parentVisible ? String(row.name) : '(private node)',\n text: String(row.text),\n scope: parseJson(row.scopeJson),\n };\n }),\n );\n }\n return results;\n }\n\n async getCurationCursor(input: { sourceThreadId: string; agent: string }): Promise {\n const result = await this.#executor.execute({\n sql: `SELECT * FROM \"${TABLE_KNOWLEDGE_CURSORS}\" WHERE sourceThreadId=? AND agent=?`,\n args: [input.sourceThreadId, input.agent],\n });\n const row = result.rows[0];\n return row\n ? {\n sourceThreadId: String(row.sourceThreadId),\n agent: String(row.agent),\n lastKnowledgeId: String(row.lastKnowledgeId),\n updatedAt: toDate(row.updatedAt),\n }\n : null;\n }\n\n async advanceCurationCursor(input: {\n sourceThreadId: string;\n agent: string;\n lastKnowledgeId: string;\n }): Promise {\n const updatedAt = new Date();\n const result = await this.#executor.execute({\n sql: `INSERT INTO \"${TABLE_KNOWLEDGE_CURSORS}\" (sourceThreadId,agent,lastKnowledgeId,updatedAt) VALUES (?,?,?,?) ON CONFLICT(sourceThreadId,agent) DO UPDATE SET lastKnowledgeId=excluded.lastKnowledgeId,updatedAt=excluded.updatedAt WHERE excluded.lastKnowledgeId >= \"${TABLE_KNOWLEDGE_CURSORS}\".lastKnowledgeId`,\n args: [input.sourceThreadId, input.agent, input.lastKnowledgeId, updatedAt.toISOString()],\n });\n if (result.rowsAffected === 0) throw new Error('Knowledge curation cursor cannot move backwards');\n return { ...input, updatedAt };\n }\n\n async listActivity(input: {\n scope: KnowledgeScope;\n after?: string;\n limit?: number;\n }): Promise {\n const scope = canonicalizeKnowledgeScope(input.scope);\n const key = knowledgeScopeKey(scope);\n const result = await this.#readExecutor.execute({\n sql: `SELECT *,scope AS \"scopeJson\" FROM \"${TABLE_KNOWLEDGE_ACTIVITY}\" WHERE ${visibleSql}${input.after ? ' AND id < ?' : ''} ORDER BY id DESC LIMIT ?`,\n args: [key, key, ...(input.after ? [input.after] : []), input.limit ?? 100],\n });\n return result.rows.map(row => ({\n id: String(row.id),\n action: String(row.action) as KnowledgeActivityAction,\n recordType: String(row.recordType) as KnowledgeSemanticDocumentType,\n recordId: String(row.recordId),\n scope: parseJson(row.scopeJson),\n sourceThreadId: row.sourceThreadId == null ? undefined : String(row.sourceThreadId),\n createdAt: toDate(row.createdAt),\n }));\n }\n\n async listSemanticOutbox(\n input: { status?: KnowledgeSemanticOutboxEntry['status']; scope?: KnowledgeScope; limit?: number } = {},\n ): Promise {\n const clauses: string[] = [];\n const args: QueryValues = [];\n if (input.status) {\n clauses.push('status=?');\n args.push(input.status);\n }\n if (input.scope) {\n const key = knowledgeScopeKey(canonicalizeKnowledgeScope(input.scope));\n clauses.push(visibleSql);\n args.push(key, key);\n }\n args.push(input.limit ?? 100);\n const result = await this.#executor.execute({\n sql: `SELECT *,scope AS \"scopeJson\" FROM \"${TABLE_KNOWLEDGE_SEMANTIC_OUTBOX}\"${clauses.length ? ` WHERE ${clauses.join(' AND ')}` : ''} ORDER BY createdAt ASC,id ASC LIMIT ?`,\n args,\n });\n return result.rows.map(parseOutbox);\n }\n\n async claimSemanticOutbox(input: ClaimKnowledgeSemanticOutboxInput): Promise {\n const now = input.now ?? new Date();\n const stale = new Date(now.getTime() - (input.claimTimeoutMs ?? 60_000));\n return this.#transaction(async tx => {\n const clauses = [\n `availableAt <= ?`,\n `(status='pending' OR (status='processing' AND claimedAt <= ?))`,\n `NOT EXISTS (SELECT 1 FROM \"${TABLE_KNOWLEDGE_SEMANTIC_OUTBOX}\" AS earlier WHERE earlier.documentId = \"${TABLE_KNOWLEDGE_SEMANTIC_OUTBOX}\".documentId AND earlier.status != 'completed' AND (earlier.createdAt < \"${TABLE_KNOWLEDGE_SEMANTIC_OUTBOX}\".createdAt OR (earlier.createdAt = \"${TABLE_KNOWLEDGE_SEMANTIC_OUTBOX}\".createdAt AND earlier.id < \"${TABLE_KNOWLEDGE_SEMANTIC_OUTBOX}\".id)))`,\n ];\n const args: QueryValues = [now.toISOString(), stale.toISOString()];\n if (input.scope) {\n const key = knowledgeScopeKey(canonicalizeKnowledgeScope(input.scope));\n clauses.push(visibleSql);\n args.push(key, key);\n }\n args.push(input.limit ?? 100);\n const selected = await tx.execute({\n sql: `SELECT id FROM \"${TABLE_KNOWLEDGE_SEMANTIC_OUTBOX}\" WHERE ${clauses.join(' AND ')} ORDER BY createdAt ASC,id ASC LIMIT ? FOR UPDATE SKIP LOCKED`,\n args,\n });\n const ids = selected.rows.map(row => String(row.id));\n for (const id of ids)\n await tx.execute({\n sql: `UPDATE \"${TABLE_KNOWLEDGE_SEMANTIC_OUTBOX}\" SET status='processing',attempts=attempts+1,claimedAt=?,claimedBy=? WHERE id=?`,\n args: [now.toISOString(), input.workerId, id],\n });\n if (!ids.length) return [];\n const result = await tx.execute({\n sql: `SELECT *,scope AS \"scopeJson\" FROM \"${TABLE_KNOWLEDGE_SEMANTIC_OUTBOX}\" WHERE id IN (${ids.map(() => '?').join(',')}) ORDER BY createdAt ASC,id ASC`,\n args: ids,\n });\n return result.rows.map(parseOutbox);\n });\n }\n\n async completeSemanticOutbox(input: { ids: string[]; workerId: string }): Promise {\n if (!input.ids.length) return;\n const now = new Date().toISOString();\n await this.#transaction(async tx => {\n for (const id of input.ids)\n await tx.execute({\n sql: `UPDATE \"${TABLE_KNOWLEDGE_SEMANTIC_OUTBOX}\" SET status='completed',completedAt=? WHERE id=? AND status='processing' AND claimedBy=?`,\n args: [now, id, input.workerId],\n });\n });\n }\n async releaseSemanticOutbox(input: { ids: string[]; workerId: string; retryAt?: Date }): Promise {\n if (!input.ids.length) return;\n await this.#transaction(async tx => {\n for (const id of input.ids)\n await tx.execute({\n sql: `UPDATE \"${TABLE_KNOWLEDGE_SEMANTIC_OUTBOX}\" SET status='pending',availableAt=?,claimedAt=NULL,claimedBy=NULL WHERE id=? AND status='processing' AND claimedBy=?`,\n args: [(input.retryAt ?? new Date()).toISOString(), id, input.workerId],\n });\n });\n }\n\n async #transaction(operation: (tx: Executor) => Promise): Promise {\n return this.#client.tx(tx => operation(createExecutor(tx, this.#schemaName)));\n }\n async #getNode(executor: Executor, id: string): Promise {\n const result = await executor.execute({\n sql: `SELECT *,scope AS \"scopeJson\" FROM \"${TABLE_KNOWLEDGE_NODES}\" WHERE id=? AND type='node'`,\n args: [id],\n });\n return result.rows[0] ? parseNode(result.rows[0]) : null;\n }\n async #getNodeByName(executor: Executor, name: string, scope: KnowledgeScope): Promise {\n const result = await executor.execute({\n sql: `SELECT *,scope AS \"scopeJson\" FROM \"${TABLE_KNOWLEDGE_NODES}\" WHERE type='node' AND scopeKey=? AND canonicalName=?`,\n args: [knowledgeScopeKey(scope), canonicalName(name)],\n });\n return result.rows[0] ? parseNode(result.rows[0]) : null;\n }\n async #resolveNode(executor: Executor, name: string, scope: KnowledgeScope): Promise {\n for (let length = scope.length; length > 0; length--) {\n const node = await this.#getNodeByName(executor, name, scope.slice(0, length));\n if (node) {\n const terminal = await this.#resolveTerminalNode(executor, node.id);\n if (terminal && isKnowledgeScopeVisible(terminal.scope, scope)) return terminal;\n }\n }\n return null;\n }\n async #resolveTerminalNode(executor: Executor, id: string): Promise {\n let node = await this.#getNode(executor, id);\n const seen = new Set();\n while (node?.mergedInto) {\n if (seen.has(node.id)) throw new Error(`Knowledge merge cycle detected at ${node.id}`);\n seen.add(node.id);\n node = await this.#getNode(executor, node.mergedInto);\n }\n return node;\n }\n async #getKnowledge(executor: Executor, id: string, includeDeleted: boolean): Promise {\n const result = await executor.execute({\n sql: `SELECT *,scope AS \"scopeJson\" FROM \"${TABLE_KNOWLEDGE_RECORDS}\" WHERE id=?${includeDeleted ? '' : ' AND deletedAt IS NULL'}`,\n args: [id],\n });\n return result.rows[0] ? parseKnowledge(result.rows[0]) : null;\n }\n\n async #queryKnowledge(\n input: QueryKnowledgeInput,\n relationship: 'about' | 'mentioning' | 'related',\n ): Promise {\n const scope = canonicalizeKnowledgeScope(input.scope);\n const node = await this.#resolveTerminalNode(this.#readExecutor, nodeReferenceId(input.node));\n if (!node) return { records: [] };\n const key = knowledgeScopeKey(scope);\n const args: QueryValues = [node.id, ...(relationship === 'related' ? [node.id] : []), key, key];\n if (input.after) args.push(input.after);\n args.push((input.limit ?? 100) + 1);\n const result = await this.#readExecutor.execute({\n sql: `SELECT DISTINCT f.*,f.scope AS \"scopeJson\" FROM \"${TABLE_KNOWLEDGE_RECORDS}\" f${relationship === 'about' ? '' : ` LEFT JOIN \"${TABLE_KNOWLEDGE_MENTIONS}\" m ON m.sourceType='record' AND m.sourceId=f.id`} WHERE ${relationship === 'about' ? 'f.node=?' : relationship === 'mentioning' ? 'm.recordId=?' : '(f.node=? OR m.recordId=?)'} AND ${visibleSql.replaceAll('scopeKey', 'f.scopeKey')}${input.includeDeleted ? '' : ' AND f.deletedAt IS NULL'}${input.after ? ' AND f.id < ?' : ''} ORDER BY f.id DESC LIMIT ?`,\n args,\n });\n const records = result.rows.map(parseKnowledge);\n const limit = input.limit ?? 100;\n return {\n records: records.slice(0, limit),\n nextCursor: records.length > limit ? records[limit - 1]?.id : undefined,\n };\n }\n\n async #replaceMentions(\n tx: Executor,\n sourceType: 'record' | 'node',\n sourceId: string,\n text: string,\n resolutionScope: KnowledgeScope,\n defaultScope: KnowledgeScope,\n ): Promise {\n await tx.execute({\n sql: `DELETE FROM \"${TABLE_KNOWLEDGE_MENTIONS}\" WHERE sourceType=? AND sourceId=?`,\n args: [sourceType, sourceId],\n });\n for (const name of parseKnowledgeWikilinks(text)) {\n let node = await this.#resolveNode(tx, name, resolutionScope);\n if (!node) {\n node = await this.#getNodeByName(tx, name, defaultScope);\n if (node) node = await this.#resolveTerminalNode(tx, node.id);\n if (!node) {\n const now = new Date();\n node = {\n id: crypto.randomUUID(),\n type: 'node',\n name,\n kind: 'node',\n scope: defaultScope,\n version: 1,\n createdAt: now,\n updatedAt: now,\n };\n await tx.execute({\n sql: `INSERT INTO \"${TABLE_KNOWLEDGE_NODES}\" (id,type,name,canonicalName,kind,content,scope,scopeKey,version,mergedInto,createdAt,updatedAt) VALUES (?,?,?,?,?,NULL,jsonb(?),?,?,NULL,?,?)`,\n args: [\n node.id,\n 'node',\n node.name,\n canonicalName(node.name),\n node.kind,\n JSON.stringify(defaultScope),\n knowledgeScopeKey(defaultScope),\n 1,\n now.toISOString(),\n now.toISOString(),\n ],\n });\n await this.#activity(tx, 'node-created', 'node', node.id, defaultScope);\n await this.#outbox(tx, 'node', node.id, 'upsert', 1, defaultScope);\n }\n }\n await tx.execute({\n sql: `INSERT INTO \"${TABLE_KNOWLEDGE_MENTIONS}\" (sourceType,sourceId,recordId) VALUES (?,?,?) ON CONFLICT DO NOTHING`,\n args: [sourceType, sourceId, node.id],\n });\n }\n }\n\n async #activity(\n executor: Executor,\n action: KnowledgeActivityAction,\n recordType: KnowledgeSemanticDocumentType,\n recordId: string,\n scope: KnowledgeScope,\n sourceThreadId?: string,\n ): Promise {\n const now = new Date();\n await executor.execute({\n sql: `INSERT INTO \"${TABLE_KNOWLEDGE_ACTIVITY}\" (id,action,recordType,recordId,scope,scopeKey,sourceThreadId,createdAt) VALUES (?,?,?,?,jsonb(?),?,?,?)`,\n args: [\n createKnowledgeUlid(),\n action,\n recordType,\n recordId,\n JSON.stringify(scope),\n knowledgeScopeKey(scope),\n sourceThreadId ?? null,\n now.toISOString(),\n ],\n });\n }\n async #outbox(\n executor: Executor,\n documentType: KnowledgeSemanticDocumentType,\n id: string,\n operation: KnowledgeSemanticOperation,\n version: number | string,\n scope: KnowledgeScope,\n ): Promise {\n const documentId = knowledgeSemanticDocumentId(documentType, id);\n const idempotencyKey = knowledgeSemanticIdempotencyKey(documentId, operation, version);\n const now = new Date();\n await executor.execute({\n sql: `INSERT INTO \"${TABLE_KNOWLEDGE_SEMANTIC_OUTBOX}\" (id,idempotencyKey,documentId,documentType,operation,scope,scopeKey,status,attempts,availableAt,claimedAt,claimedBy,createdAt,completedAt) VALUES (?,?,?,?,?,jsonb(?),?,'pending',0,?,NULL,NULL,?,NULL) ON CONFLICT DO NOTHING`,\n args: [\n createKnowledgeUlid(),\n idempotencyKey,\n documentId,\n documentType,\n operation,\n JSON.stringify(scope),\n knowledgeScopeKey(scope),\n now.toISOString(),\n now.toISOString(),\n ],\n });\n }\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport {\n MCPClientsStorage,\n createStorageErrorId,\n normalizePerPage,\n calculatePagination,\n TABLE_MCP_CLIENTS,\n TABLE_MCP_CLIENT_VERSIONS,\n TABLE_SCHEMAS,\n} from '@mastra/core/storage';\nimport type {\n StorageMCPClientType,\n StorageCreateMCPClientInput,\n StorageUpdateMCPClientInput,\n StorageListMCPClientsInput,\n StorageListMCPClientsOutput,\n CreateIndexOptions,\n} from '@mastra/core/storage';\nimport type {\n MCPClientVersion,\n CreateMCPClientVersionInput,\n ListMCPClientVersionsInput,\n ListMCPClientVersionsOutput,\n} from '@mastra/core/storage/domains/mcp-clients';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport { PgDB, resolvePgConfig, generateTableSQL, generateIndexSQL } from '../../db';\nimport type { DbClient, PgDomainConfig } from '../../db';\nimport { getTableName, getSchemaName, parseJsonResilient } from '../utils';\n\nconst SNAPSHOT_FIELDS = ['name', 'description', 'servers'] as const;\n\nexport class MCPClientsPG extends MCPClientsStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n static readonly MANAGED_TABLES = [TABLE_MCP_CLIENTS, TABLE_MCP_CLIENT_VERSIONS] as const;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n this.#indexes = indexes?.filter(idx => (MCPClientsPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n static getDefaultIndexDefs(schemaPrefix: string): CreateIndexOptions[] {\n return [\n {\n name: `${schemaPrefix}idx_mcp_client_versions_client_version`,\n table: TABLE_MCP_CLIENT_VERSIONS,\n columns: ['mcpClientId', 'versionNumber'],\n unique: true,\n },\n ];\n }\n\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n const parsedSchema = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n const schemaPrefix = parsedSchema && parsedSchema !== 'public' ? `${parsedSchema}_` : '';\n\n for (const tableName of MCPClientsPG.MANAGED_TABLES) {\n statements.push(\n generateTableSQL({\n tableName,\n schema: TABLE_SCHEMAS[tableName],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n }\n\n for (const idx of MCPClientsPG.getDefaultIndexDefs(schemaPrefix)) {\n statements.push(generateIndexSQL(idx, schemaName));\n }\n\n return statements;\n }\n\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return MCPClientsPG.getDefaultIndexDefs(schemaPrefix);\n }\n\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) {\n return;\n }\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch {\n // Indexes are performance optimizations, continue on failure\n }\n }\n }\n\n async init(): Promise {\n await this.#db.createTable({\n tableName: TABLE_MCP_CLIENTS,\n schema: TABLE_SCHEMAS[TABLE_MCP_CLIENTS],\n });\n await this.#db.createTable({\n tableName: TABLE_MCP_CLIENT_VERSIONS,\n schema: TABLE_SCHEMAS[TABLE_MCP_CLIENT_VERSIONS],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) {\n return;\n }\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_MCP_CLIENT_VERSIONS });\n await this.#db.clearTable({ tableName: TABLE_MCP_CLIENTS });\n }\n\n // ==========================================================================\n // MCP Client CRUD Methods\n // ==========================================================================\n\n async getById(id: string): Promise {\n return this.#getById(this.#db.readClient, id);\n }\n\n /**\n * Same lookup against an explicit client. Mutation paths pass the writer so a\n * lagging read replica cannot yield stale or missing rows mid-update.\n */\n async #getById(client: DbClient, id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_MCP_CLIENTS, schemaName: getSchemaName(this.#schema) });\n const result = await client.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [id]);\n\n if (!result) {\n return null;\n }\n\n return this.parseMCPClientRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_MCP_CLIENT_BY_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpClientId: id },\n },\n error,\n );\n }\n }\n\n async create(input: { mcpClient: StorageCreateMCPClientInput }): Promise {\n const { mcpClient } = input;\n try {\n const tableName = getTableName({ indexName: TABLE_MCP_CLIENTS, schemaName: getSchemaName(this.#schema) });\n const now = new Date();\n const nowIso = now.toISOString();\n\n // 1. Create the thin MCP client record\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, status, \"activeVersionId\", \"authorId\", metadata,\n \"createdAt\", \"createdAtZ\", \"updatedAt\", \"updatedAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9)`,\n [\n mcpClient.id,\n 'draft',\n null,\n mcpClient.authorId ?? null,\n mcpClient.metadata ? JSON.stringify(mcpClient.metadata) : null,\n nowIso,\n nowIso,\n nowIso,\n nowIso,\n ],\n );\n\n // 2. Extract snapshot fields and create version 1\n const { id: _id, authorId: _authorId, metadata: _metadata, ...snapshotConfig } = mcpClient;\n const versionId = crypto.randomUUID();\n await this.createVersion({\n id: versionId,\n mcpClientId: mcpClient.id,\n versionNumber: 1,\n ...snapshotConfig,\n changedFields: [...SNAPSHOT_FIELDS],\n changeMessage: 'Initial version',\n });\n\n return {\n id: mcpClient.id,\n status: 'draft',\n activeVersionId: undefined,\n authorId: mcpClient.authorId,\n metadata: mcpClient.metadata,\n createdAt: now,\n updatedAt: now,\n };\n } catch (error) {\n // Best-effort cleanup\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_CLIENTS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(\n `DELETE FROM ${tableName} WHERE id = $1 AND status = 'draft' AND \"activeVersionId\" IS NULL`,\n [mcpClient.id],\n );\n } catch {\n // Ignore cleanup errors\n }\n\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_MCP_CLIENT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpClientId: mcpClient.id },\n },\n error,\n );\n }\n }\n\n async update(input: StorageUpdateMCPClientInput): Promise {\n const { id, ...updates } = input;\n try {\n const tableName = getTableName({ indexName: TABLE_MCP_CLIENTS, schemaName: getSchemaName(this.#schema) });\n\n const existingClient = await this.#getById(this.#db.client, id);\n if (!existingClient) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_MCP_CLIENT', 'NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: `MCP client ${id} not found`,\n details: { mcpClientId: id },\n });\n }\n\n const { authorId, activeVersionId, metadata, status } = updates;\n\n // Update metadata fields on the MCP client record\n const setClauses: string[] = [];\n const values: any[] = [];\n let paramIndex = 1;\n\n if (authorId !== undefined) {\n setClauses.push(`\"authorId\" = $${paramIndex++}`);\n values.push(authorId);\n }\n\n if (activeVersionId !== undefined) {\n setClauses.push(`\"activeVersionId\" = $${paramIndex++}`);\n values.push(activeVersionId);\n }\n\n if (status !== undefined) {\n setClauses.push(`status = $${paramIndex++}`);\n values.push(status);\n }\n\n if (metadata !== undefined) {\n const mergedMetadata = { ...(existingClient.metadata || {}), ...metadata };\n setClauses.push(`metadata = $${paramIndex++}`);\n values.push(JSON.stringify(mergedMetadata));\n }\n\n // Always update timestamps\n const now = new Date().toISOString();\n setClauses.push(`\"updatedAt\" = $${paramIndex++}`);\n values.push(now);\n setClauses.push(`\"updatedAtZ\" = $${paramIndex++}`);\n values.push(now);\n\n values.push(id);\n\n // Always update the record (at minimum updatedAt/updatedAtZ are set)\n await this.#db.client.none(`UPDATE ${tableName} SET ${setClauses.join(', ')} WHERE id = $${paramIndex}`, values);\n\n const updatedClient = await this.#getById(this.#db.client, id);\n if (!updatedClient) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_MCP_CLIENT', 'NOT_FOUND_AFTER_UPDATE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.SYSTEM,\n text: `MCP client ${id} not found after update`,\n details: { mcpClientId: id },\n });\n }\n return updatedClient;\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_MCP_CLIENT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpClientId: id },\n },\n error,\n );\n }\n }\n\n async delete(id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_MCP_CLIENTS, schemaName: getSchemaName(this.#schema) });\n await this.deleteVersionsByParentId(id);\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE id = $1`, [id]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_MCP_CLIENT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpClientId: id },\n },\n error,\n );\n }\n }\n\n async list(args?: StorageListMCPClientsInput): Promise {\n const { page = 0, perPage: perPageInput, orderBy, authorId, metadata, status = 'published' } = args || {};\n const { field, direction } = this.parseOrderBy(orderBy);\n\n if (page < 0) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_MCP_CLIENTS', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { page },\n },\n new Error('page must be >= 0'),\n );\n }\n\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n try {\n const tableName = getTableName({ indexName: TABLE_MCP_CLIENTS, schemaName: getSchemaName(this.#schema) });\n\n // Build WHERE conditions\n const conditions: string[] = [];\n const queryParams: any[] = [];\n let paramIdx = 1;\n\n conditions.push(`status = $${paramIdx++}`);\n queryParams.push(status);\n\n if (authorId !== undefined) {\n conditions.push(`\"authorId\" = $${paramIdx++}`);\n queryParams.push(authorId);\n }\n\n if (metadata && Object.keys(metadata).length > 0) {\n conditions.push(`metadata @> $${paramIdx++}::jsonb`);\n queryParams.push(JSON.stringify(metadata));\n }\n\n const whereClause = `WHERE ${conditions.join(' AND ')}`;\n\n // Get total count\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} ${whereClause}`,\n queryParams,\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return {\n mcpClients: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const limitValue = perPageInput === false ? total : perPage;\n const dataResult = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} ${whereClause} ORDER BY \"${field}\" ${direction} LIMIT $${paramIdx++} OFFSET $${paramIdx++}`,\n [...queryParams, limitValue, offset],\n );\n\n const mcpClients = (dataResult || []).flatMap(row => {\n try {\n return [this.parseMCPClientRow(row)];\n } catch (err) {\n this.logger?.warn?.('[PG] Failed to map mcp client row, skipping', { id: row?.id, error: err });\n return [];\n }\n });\n\n return {\n mcpClients,\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_MCP_CLIENTS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n // ==========================================================================\n // MCP Client Version Methods\n // ==========================================================================\n\n async createVersion(input: CreateMCPClientVersionInput): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_CLIENT_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const now = new Date();\n const nowIso = now.toISOString();\n\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, \"mcpClientId\", \"versionNumber\",\n name, description, servers,\n \"changedFields\", \"changeMessage\",\n \"createdAt\", \"createdAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10)`,\n [\n input.id,\n input.mcpClientId,\n input.versionNumber,\n input.name,\n input.description ?? null,\n JSON.stringify(input.servers),\n input.changedFields ? JSON.stringify(input.changedFields) : null,\n input.changeMessage ?? null,\n nowIso,\n nowIso,\n ],\n );\n\n return {\n ...input,\n createdAt: now,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_MCP_CLIENT_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: input.id, mcpClientId: input.mcpClientId },\n },\n error,\n );\n }\n }\n\n async getVersion(id: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_CLIENT_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [id]);\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_MCP_CLIENT_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: id },\n },\n error,\n );\n }\n }\n\n async getVersionByNumber(mcpClientId: string, versionNumber: number): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_CLIENT_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"mcpClientId\" = $1 AND \"versionNumber\" = $2`,\n [mcpClientId, versionNumber],\n );\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_MCP_CLIENT_VERSION_BY_NUMBER', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpClientId, versionNumber },\n },\n error,\n );\n }\n }\n\n async getLatestVersion(mcpClientId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_CLIENT_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"mcpClientId\" = $1 ORDER BY \"versionNumber\" DESC LIMIT 1`,\n [mcpClientId],\n );\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_LATEST_MCP_CLIENT_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpClientId },\n },\n error,\n );\n }\n }\n\n async listVersions(input: ListMCPClientVersionsInput): Promise {\n const { mcpClientId, page = 0, perPage: perPageInput, orderBy } = input;\n\n if (page < 0) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_MCP_CLIENT_VERSIONS', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { page },\n },\n new Error('page must be >= 0'),\n );\n }\n\n const perPage = normalizePerPage(perPageInput, 20);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n try {\n const { field, direction } = this.parseVersionOrderBy(orderBy);\n const tableName = getTableName({\n indexName: TABLE_MCP_CLIENT_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} WHERE \"mcpClientId\" = $1`,\n [mcpClientId],\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return {\n versions: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const limitValue = perPageInput === false ? total : perPage;\n const dataResult = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE \"mcpClientId\" = $1 ORDER BY \"${field}\" ${direction} LIMIT $2 OFFSET $3`,\n [mcpClientId, limitValue, offset],\n );\n\n const versions = (dataResult || []).flatMap(row => {\n try {\n return [this.parseVersionRow(row)];\n } catch (err) {\n this.logger?.warn?.('[PG] Failed to map mcp client version row, skipping', { id: row?.id, error: err });\n return [];\n }\n });\n\n return {\n versions,\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_MCP_CLIENT_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpClientId },\n },\n error,\n );\n }\n }\n\n async deleteVersion(id: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_CLIENT_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE id = $1`, [id]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_MCP_CLIENT_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: id },\n },\n error,\n );\n }\n }\n\n async deleteVersionsByParentId(entityId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_CLIENT_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE \"mcpClientId\" = $1`, [entityId]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_MCP_CLIENT_VERSIONS_BY_MCP_CLIENT_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpClientId: entityId },\n },\n error,\n );\n }\n }\n\n async countVersions(mcpClientId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_CLIENT_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} WHERE \"mcpClientId\" = $1`,\n [mcpClientId],\n );\n return parseInt(result.count, 10);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'COUNT_MCP_CLIENT_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpClientId },\n },\n error,\n );\n }\n }\n\n // ==========================================================================\n // Private Helper Methods\n // ==========================================================================\n\n private parseMCPClientRow(row: any): StorageMCPClientType {\n return {\n id: row.id as string,\n status: row.status as StorageMCPClientType['status'],\n activeVersionId: row.activeVersionId as string | undefined,\n authorId: row.authorId as string | undefined,\n metadata: parseJsonResilient(row.metadata, 'metadata'),\n createdAt: new Date(row.createdAtZ || row.createdAt),\n updatedAt: new Date(row.updatedAtZ || row.updatedAt),\n };\n }\n\n private parseVersionRow(row: any): MCPClientVersion {\n return {\n id: row.id as string,\n mcpClientId: row.mcpClientId as string,\n versionNumber: row.versionNumber as number,\n name: row.name as string,\n description: row.description as string | undefined,\n servers: parseJsonResilient(row.servers, 'servers'),\n changedFields: parseJsonResilient(row.changedFields, 'changedFields'),\n changeMessage: row.changeMessage as string | undefined,\n createdAt: new Date(row.createdAtZ || row.createdAt),\n };\n }\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport {\n MCPServersStorage,\n createStorageErrorId,\n normalizePerPage,\n calculatePagination,\n TABLE_MCP_SERVERS,\n TABLE_MCP_SERVER_VERSIONS,\n TABLE_SCHEMAS,\n} from '@mastra/core/storage';\nimport type {\n StorageMCPServerType,\n StorageCreateMCPServerInput,\n StorageUpdateMCPServerInput,\n StorageListMCPServersInput,\n StorageListMCPServersOutput,\n CreateIndexOptions,\n} from '@mastra/core/storage';\nimport type {\n MCPServerVersion,\n CreateMCPServerVersionInput,\n ListMCPServerVersionsInput,\n ListMCPServerVersionsOutput,\n} from '@mastra/core/storage/domains/mcp-servers';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport { PgDB, resolvePgConfig, generateTableSQL, generateIndexSQL } from '../../db';\nimport type { DbClient, PgDomainConfig } from '../../db';\nimport { getTableName, getSchemaName, parseJsonResilient } from '../utils';\n\nconst SNAPSHOT_FIELDS = [\n 'name',\n 'version',\n 'description',\n 'instructions',\n 'repository',\n 'releaseDate',\n 'isLatest',\n 'packageCanonical',\n 'tools',\n 'agents',\n 'workflows',\n] as const;\n\nexport class MCPServersPG extends MCPServersStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n static readonly MANAGED_TABLES = [TABLE_MCP_SERVERS, TABLE_MCP_SERVER_VERSIONS] as const;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n this.#indexes = indexes?.filter(idx => (MCPServersPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n static getDefaultIndexDefs(schemaPrefix: string): CreateIndexOptions[] {\n return [\n {\n name: `${schemaPrefix}idx_mcp_server_versions_server_version`,\n table: TABLE_MCP_SERVER_VERSIONS,\n columns: ['mcpServerId', 'versionNumber'],\n unique: true,\n },\n ];\n }\n\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n const parsedSchema = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n const schemaPrefix = parsedSchema && parsedSchema !== 'public' ? `${parsedSchema}_` : '';\n\n for (const tableName of MCPServersPG.MANAGED_TABLES) {\n statements.push(\n generateTableSQL({\n tableName,\n schema: TABLE_SCHEMAS[tableName],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n }\n\n for (const idx of MCPServersPG.getDefaultIndexDefs(schemaPrefix)) {\n statements.push(generateIndexSQL(idx, schemaName));\n }\n\n return statements;\n }\n\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return MCPServersPG.getDefaultIndexDefs(schemaPrefix);\n }\n\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) {\n return;\n }\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch {\n // Indexes are performance optimizations, continue on failure\n }\n }\n }\n\n async init(): Promise {\n await this.#db.createTable({\n tableName: TABLE_MCP_SERVERS,\n schema: TABLE_SCHEMAS[TABLE_MCP_SERVERS],\n });\n await this.#db.createTable({\n tableName: TABLE_MCP_SERVER_VERSIONS,\n schema: TABLE_SCHEMAS[TABLE_MCP_SERVER_VERSIONS],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) {\n return;\n }\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_MCP_SERVER_VERSIONS });\n await this.#db.clearTable({ tableName: TABLE_MCP_SERVERS });\n }\n\n // ==========================================================================\n // MCP Server CRUD Methods\n // ==========================================================================\n\n async getById(id: string): Promise {\n return this.#getById(this.#db.readClient, id);\n }\n\n /**\n * Same lookup against an explicit client. Mutation paths pass the writer so a\n * lagging read replica cannot yield stale or missing rows mid-update.\n */\n async #getById(client: DbClient, id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_MCP_SERVERS, schemaName: getSchemaName(this.#schema) });\n const result = await client.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [id]);\n\n if (!result) {\n return null;\n }\n\n return this.parseMCPServerRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_MCP_SERVER_BY_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpServerId: id },\n },\n error,\n );\n }\n }\n\n async create(input: { mcpServer: StorageCreateMCPServerInput }): Promise {\n const { mcpServer } = input;\n try {\n const tableName = getTableName({ indexName: TABLE_MCP_SERVERS, schemaName: getSchemaName(this.#schema) });\n const now = new Date();\n const nowIso = now.toISOString();\n\n // 1. Create the thin MCP server record\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, status, \"activeVersionId\", \"authorId\", metadata,\n \"createdAt\", \"createdAtZ\", \"updatedAt\", \"updatedAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9)`,\n [\n mcpServer.id,\n 'draft',\n null,\n mcpServer.authorId ?? null,\n mcpServer.metadata ? JSON.stringify(mcpServer.metadata) : null,\n nowIso,\n nowIso,\n nowIso,\n nowIso,\n ],\n );\n\n // 2. Extract snapshot fields and create version 1\n const { id: _id, authorId: _authorId, metadata: _metadata, ...snapshotConfig } = mcpServer;\n const versionId = crypto.randomUUID();\n await this.createVersion({\n id: versionId,\n mcpServerId: mcpServer.id,\n versionNumber: 1,\n ...snapshotConfig,\n changedFields: [...SNAPSHOT_FIELDS],\n changeMessage: 'Initial version',\n });\n\n return {\n id: mcpServer.id,\n status: 'draft',\n activeVersionId: undefined,\n authorId: mcpServer.authorId,\n metadata: mcpServer.metadata,\n createdAt: now,\n updatedAt: now,\n };\n } catch (error) {\n // Best-effort cleanup\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_SERVERS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(\n `DELETE FROM ${tableName} WHERE id = $1 AND status = 'draft' AND \"activeVersionId\" IS NULL`,\n [mcpServer.id],\n );\n } catch {\n // Ignore cleanup errors\n }\n\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_MCP_SERVER', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpServerId: mcpServer.id },\n },\n error,\n );\n }\n }\n\n async update(input: StorageUpdateMCPServerInput): Promise {\n const { id, ...updates } = input;\n try {\n const tableName = getTableName({ indexName: TABLE_MCP_SERVERS, schemaName: getSchemaName(this.#schema) });\n\n const existingServer = await this.#getById(this.#db.client, id);\n if (!existingServer) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_MCP_SERVER', 'NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: `MCP server ${id} not found`,\n details: { mcpServerId: id },\n });\n }\n\n const { authorId, activeVersionId, metadata, status } = updates;\n\n // Update metadata fields on the MCP server record\n const setClauses: string[] = [];\n const values: any[] = [];\n let paramIndex = 1;\n\n if (authorId !== undefined) {\n setClauses.push(`\"authorId\" = $${paramIndex++}`);\n values.push(authorId);\n }\n\n if (activeVersionId !== undefined) {\n setClauses.push(`\"activeVersionId\" = $${paramIndex++}`);\n values.push(activeVersionId);\n }\n\n if (status !== undefined) {\n setClauses.push(`status = $${paramIndex++}`);\n values.push(status);\n }\n\n if (metadata !== undefined) {\n const mergedMetadata = { ...(existingServer.metadata || {}), ...metadata };\n setClauses.push(`metadata = $${paramIndex++}`);\n values.push(JSON.stringify(mergedMetadata));\n }\n\n // Always update timestamps\n const now = new Date().toISOString();\n setClauses.push(`\"updatedAt\" = $${paramIndex++}`);\n values.push(now);\n setClauses.push(`\"updatedAtZ\" = $${paramIndex++}`);\n values.push(now);\n\n values.push(id);\n\n // Always update the record (at minimum updatedAt/updatedAtZ are set)\n await this.#db.client.none(`UPDATE ${tableName} SET ${setClauses.join(', ')} WHERE id = $${paramIndex}`, values);\n\n const updatedServer = await this.#getById(this.#db.client, id);\n if (!updatedServer) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_MCP_SERVER', 'NOT_FOUND_AFTER_UPDATE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.SYSTEM,\n text: `MCP server ${id} not found after update`,\n details: { mcpServerId: id },\n });\n }\n return updatedServer;\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_MCP_SERVER', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpServerId: id },\n },\n error,\n );\n }\n }\n\n async delete(id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_MCP_SERVERS, schemaName: getSchemaName(this.#schema) });\n await this.deleteVersionsByParentId(id);\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE id = $1`, [id]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_MCP_SERVER', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpServerId: id },\n },\n error,\n );\n }\n }\n\n async list(args?: StorageListMCPServersInput): Promise {\n const { page = 0, perPage: perPageInput, orderBy, authorId, metadata, status = 'published' } = args || {};\n const { field, direction } = this.parseOrderBy(orderBy);\n\n if (page < 0) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_MCP_SERVERS', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { page },\n },\n new Error('page must be >= 0'),\n );\n }\n\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n try {\n const tableName = getTableName({ indexName: TABLE_MCP_SERVERS, schemaName: getSchemaName(this.#schema) });\n\n // Build WHERE conditions\n const conditions: string[] = [];\n const queryParams: any[] = [];\n let paramIdx = 1;\n\n conditions.push(`status = $${paramIdx++}`);\n queryParams.push(status);\n\n if (authorId !== undefined) {\n conditions.push(`\"authorId\" = $${paramIdx++}`);\n queryParams.push(authorId);\n }\n\n if (metadata && Object.keys(metadata).length > 0) {\n conditions.push(`metadata @> $${paramIdx++}::jsonb`);\n queryParams.push(JSON.stringify(metadata));\n }\n\n const whereClause = `WHERE ${conditions.join(' AND ')}`;\n\n // Get total count\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} ${whereClause}`,\n queryParams,\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return {\n mcpServers: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const limitValue = perPageInput === false ? total : perPage;\n const dataResult = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} ${whereClause} ORDER BY \"${field}\" ${direction} LIMIT $${paramIdx++} OFFSET $${paramIdx++}`,\n [...queryParams, limitValue, offset],\n );\n\n const mcpServers = (dataResult || []).flatMap(row => {\n try {\n return [this.parseMCPServerRow(row)];\n } catch (err) {\n this.logger?.warn?.('[PG] Failed to map mcp server row, skipping', { id: row?.id, error: err });\n return [];\n }\n });\n\n return {\n mcpServers,\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_MCP_SERVERS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n // ==========================================================================\n // MCP Server Version Methods\n // ==========================================================================\n\n async createVersion(input: CreateMCPServerVersionInput): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_SERVER_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const now = new Date();\n const nowIso = now.toISOString();\n\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, \"mcpServerId\", \"versionNumber\",\n name, version, description, instructions,\n repository, \"releaseDate\", \"isLatest\", \"packageCanonical\",\n tools, agents, workflows,\n \"changedFields\", \"changeMessage\",\n \"createdAt\", \"createdAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16, $17, $18)`,\n [\n input.id,\n input.mcpServerId,\n input.versionNumber,\n input.name,\n input.version,\n input.description ?? null,\n input.instructions ?? null,\n input.repository ? JSON.stringify(input.repository) : null,\n input.releaseDate ?? null,\n input.isLatest ?? null,\n input.packageCanonical ?? null,\n input.tools ? JSON.stringify(input.tools) : null,\n input.agents ? JSON.stringify(input.agents) : null,\n input.workflows ? JSON.stringify(input.workflows) : null,\n input.changedFields ? JSON.stringify(input.changedFields) : null,\n input.changeMessage ?? null,\n nowIso,\n nowIso,\n ],\n );\n\n return {\n ...input,\n createdAt: now,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_MCP_SERVER_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: input.id, mcpServerId: input.mcpServerId },\n },\n error,\n );\n }\n }\n\n async getVersion(id: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_SERVER_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [id]);\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_MCP_SERVER_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: id },\n },\n error,\n );\n }\n }\n\n async getVersionByNumber(mcpServerId: string, versionNumber: number): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_SERVER_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"mcpServerId\" = $1 AND \"versionNumber\" = $2`,\n [mcpServerId, versionNumber],\n );\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_MCP_SERVER_VERSION_BY_NUMBER', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpServerId, versionNumber },\n },\n error,\n );\n }\n }\n\n async getLatestVersion(mcpServerId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_SERVER_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"mcpServerId\" = $1 ORDER BY \"versionNumber\" DESC LIMIT 1`,\n [mcpServerId],\n );\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_LATEST_MCP_SERVER_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpServerId },\n },\n error,\n );\n }\n }\n\n async listVersions(input: ListMCPServerVersionsInput): Promise {\n const { mcpServerId, page = 0, perPage: perPageInput, orderBy } = input;\n\n if (page < 0) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_MCP_SERVER_VERSIONS', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { page },\n },\n new Error('page must be >= 0'),\n );\n }\n\n const perPage = normalizePerPage(perPageInput, 20);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n try {\n const { field, direction } = this.parseVersionOrderBy(orderBy);\n const tableName = getTableName({\n indexName: TABLE_MCP_SERVER_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} WHERE \"mcpServerId\" = $1`,\n [mcpServerId],\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return {\n versions: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const limitValue = perPageInput === false ? total : perPage;\n const dataResult = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE \"mcpServerId\" = $1 ORDER BY \"${field}\" ${direction} LIMIT $2 OFFSET $3`,\n [mcpServerId, limitValue, offset],\n );\n\n const versions = (dataResult || []).flatMap(row => {\n try {\n return [this.parseVersionRow(row)];\n } catch (err) {\n this.logger?.warn?.('[PG] Failed to map mcp server version row, skipping', { id: row?.id, error: err });\n return [];\n }\n });\n\n return {\n versions,\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_MCP_SERVER_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpServerId },\n },\n error,\n );\n }\n }\n\n async deleteVersion(id: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_SERVER_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE id = $1`, [id]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_MCP_SERVER_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: id },\n },\n error,\n );\n }\n }\n\n async deleteVersionsByParentId(entityId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_SERVER_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE \"mcpServerId\" = $1`, [entityId]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_MCP_SERVER_VERSIONS_BY_MCP_SERVER_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpServerId: entityId },\n },\n error,\n );\n }\n }\n\n async countVersions(mcpServerId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_MCP_SERVER_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} WHERE \"mcpServerId\" = $1`,\n [mcpServerId],\n );\n return parseInt(result.count, 10);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'COUNT_MCP_SERVER_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { mcpServerId },\n },\n error,\n );\n }\n }\n\n // ==========================================================================\n // Private Helper Methods\n // ==========================================================================\n\n private parseMCPServerRow(row: any): StorageMCPServerType {\n return {\n id: row.id as string,\n status: row.status as StorageMCPServerType['status'],\n activeVersionId: row.activeVersionId as string | undefined,\n authorId: row.authorId as string | undefined,\n metadata: parseJsonResilient(row.metadata, 'metadata'),\n createdAt: new Date(row.createdAtZ || row.createdAt),\n updatedAt: new Date(row.updatedAtZ || row.updatedAt),\n };\n }\n\n private parseVersionRow(row: any): MCPServerVersion {\n return {\n id: row.id as string,\n mcpServerId: row.mcpServerId as string,\n versionNumber: row.versionNumber as number,\n name: row.name as string,\n version: row.version as string,\n description: row.description as string | undefined,\n instructions: row.instructions as string | undefined,\n repository: parseJsonResilient(row.repository, 'repository'),\n releaseDate: row.releaseDate as string | undefined,\n isLatest: row.isLatest as boolean | undefined,\n packageCanonical: row.packageCanonical as string | undefined,\n tools: parseJsonResilient(row.tools, 'tools'),\n agents: parseJsonResilient(row.agents, 'agents'),\n workflows: parseJsonResilient(row.workflows, 'workflows'),\n changedFields: parseJsonResilient(row.changedFields, 'changedFields'),\n changeMessage: row.changeMessage as string | undefined,\n createdAt: new Date(row.createdAtZ || row.createdAt),\n };\n }\n}\n","import { randomUUID } from 'node:crypto';\nimport { MessageList } from '@mastra/core/agent';\nimport type { MastraMessageContentV2 } from '@mastra/core/agent';\nimport { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport type { MastraMessageV1, MastraDBMessage, StorageThreadType } from '@mastra/core/memory';\nimport {\n MemoryStorage,\n normalizePerPage,\n calculatePagination,\n OBSERVATIONAL_MEMORY_TABLE_SCHEMA,\n TABLE_MESSAGES,\n TABLE_RESOURCES,\n TABLE_THREADS,\n TABLE_SCHEMAS,\n createStorageErrorId,\n storageMessageMatchesMetadataFilter,\n validateStorageMetadataFilter,\n} from '@mastra/core/storage';\n\n/**\n * Local constant for the observational memory table name.\n * Defined locally to avoid a static import that crashes on older @mastra/core\n * versions that don't export TABLE_OBSERVATIONAL_MEMORY.\n */\nconst OM_TABLE = 'mastra_observational_memory' as const;\nconst POSTGRES_MAX_BIND_PARAMETERS = 65535;\n// Keep in sync with the message INSERT column list in saveMessages.\nconst MESSAGE_INSERT_BIND_PARAMETERS = 8;\nconst MAX_MESSAGES_PER_INSERT = Math.floor(POSTGRES_MAX_BIND_PARAMETERS / MESSAGE_INSERT_BIND_PARAMETERS);\n\n/**\n * Columns added to the OM table after its initial release.\n * Used in `alterTable({ ifNotExists })` so that databases created on older\n * versions get the new columns automatically.\n *\n * When you add a column to OBSERVATIONAL_MEMORY_SCHEMA in @mastra/core,\n * you MUST also add it here — the unit test `om-migration-columns.test.ts`\n * will fail otherwise.\n */\nexport const OM_MIGRATION_COLUMNS: string[] = [\n 'observedMessageIds',\n 'observedTimezone',\n 'bufferedObservations',\n 'bufferedObservationTokens',\n 'bufferedMessageIds',\n 'bufferedReflection',\n 'bufferedReflectionTokens',\n 'bufferedReflectionInputTokens',\n 'reflectedObservationLineCount',\n 'bufferedObservationChunks',\n 'isBufferingObservation',\n 'isBufferingReflection',\n 'lastBufferedAtTokens',\n 'lastBufferedAtTime',\n 'metadata',\n];\n\n/**\n * The OM schema is imported statically above: the peer dependency range\n * (`@mastra/core >= 1.49.0`) guarantees the export exists. This used to be a\n * dynamic `require` guarded by `typeof require === 'function'` for older core\n * versions, but esbuild rewrites the bare `require` identifier in the ESM\n * bundle to a shim that always throws, and the silent catch meant the\n * published ESM build skipped creating the OM table entirely (#18954).\n */\nconst _omTableSchema: Record> = OBSERVATIONAL_MEMORY_TABLE_SCHEMA;\nimport type {\n StorageResourceType,\n StorageListMessagesInput,\n StorageListMessagesByResourceIdInput,\n StorageListMessagesOutput,\n StorageListThreadsInput,\n StorageListThreadsOutput,\n CreateIndexOptions,\n StorageCloneThreadInput,\n StorageCopyThreadOutput,\n ThreadCloneMetadata,\n ObservationalMemoryRecord,\n ObservationalMemoryHistoryOptions,\n BufferedObservationChunk,\n CreateObservationalMemoryInput,\n UpdateActiveObservationsInput,\n UpdateBufferedObservationsInput,\n SwapBufferedToActiveInput,\n SwapBufferedToActiveResult,\n UpdateBufferedReflectionInput,\n SwapBufferedReflectionToActiveInput,\n CreateReflectionGenerationInput,\n UpdateObservationalMemoryConfigInput,\n PruneOptions,\n PruneResult,\n RetentionTablesDescriptor,\n TableRetentionPolicy,\n TABLE_NAMES,\n} from '@mastra/core/storage';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport {\n PgDB,\n resolvePgConfig,\n generateTableSQL,\n generateIndexSQL,\n getSchemaName as dbGetSchemaName,\n getTableName as dbGetTableName,\n} from '../../db';\nimport type { DbClient, PgDomainConfig } from '../../db';\nimport { runPrune, runBatchedDelete, resolveTargets } from '../../retention';\n\n// Database row type that includes timezone-aware columns\ntype MessageRowFromDB = {\n id: string;\n content: string | any;\n role: string;\n type?: string;\n createdAt: Date | string;\n createdAtZ?: Date | string;\n threadId: string;\n resourceId: string;\n};\n\nfunction getSchemaName(schema?: string) {\n return schema ? `\"${schema}\"` : '\"public\"';\n}\n\nfunction getTableName({ indexName, schemaName }: { indexName: string; schemaName?: string }) {\n const quotedIndexName = `\"${indexName}\"`;\n return schemaName ? `${schemaName}.${quotedIndexName}` : quotedIndexName;\n}\n\n/**\n * Generate SQL placeholder string for IN clauses.\n * @param count - Number of placeholders to generate\n * @param startIndex - Starting index for placeholders (default: 1)\n * @returns Comma-separated placeholder string, e.g. \"$1, $2, $3\"\n */\nfunction inPlaceholders(count: number, startIndex = 1): string {\n return Array.from({ length: count }, (_, i) => `$${i + startIndex}`).join(', ');\n}\n\n/**\n * Bind dates as UTC strings because node-postgres serializes Date parameters\n * for TIMESTAMP columns using the process's local timezone.\n */\nfunction toUtcISOString(date: Date): string {\n return date.toISOString();\n}\n\nfunction dedupeMessagesForSave(messages: MastraDBMessage[]): MastraDBMessage[] {\n const deduped = new Map();\n for (const message of messages) {\n const existing = deduped.get(message.id);\n if (existing) {\n deduped.set(message.id, {\n ...message,\n createdAt: existing.createdAt,\n });\n } else {\n deduped.set(message.id, {\n ...message,\n createdAt: message.createdAt || new Date(),\n });\n }\n }\n return Array.from(deduped.values());\n}\n\nexport class MemoryPG extends MemoryStorage {\n override readonly supportsPartialThreadUpdate = true;\n readonly supportsObservationalMemory = true;\n\n /**\n * Retention-eligible tables. `threads`, `messages`, and `resources` all anchor\n * on the timezone-aware `createdAtZ` mirror column (kept in sync by triggers),\n * and are indexed for fast batched deletes. Cascade order is enforced in\n * `prune()` (children before threads), not here. Observational memory has no\n * timestamp anchor and is deliberately excluded.\n */\n static override readonly retentionTables: RetentionTablesDescriptor = {\n messages: { table: TABLE_MESSAGES, column: 'createdAtZ', indexed: true },\n resources: { table: TABLE_RESOURCES, column: 'createdAtZ', indexed: true },\n threads: { table: TABLE_THREADS, column: 'createdAtZ', indexed: true },\n };\n\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n /** Tables managed by this domain */\n static readonly MANAGED_TABLES = [TABLE_THREADS, TABLE_MESSAGES, TABLE_RESOURCES, OM_TABLE] as const;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n // Filter indexes to only those for tables managed by this domain\n this.#indexes = indexes?.filter(idx => (MemoryPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n async init(): Promise {\n await this.#db.createTable({ tableName: TABLE_THREADS, schema: TABLE_SCHEMAS[TABLE_THREADS] });\n await this.#db.createTable({ tableName: TABLE_MESSAGES, schema: TABLE_SCHEMAS[TABLE_MESSAGES] });\n await this.#db.createTable({ tableName: TABLE_RESOURCES, schema: TABLE_SCHEMAS[TABLE_RESOURCES] });\n\n // Reuse the module-level `_omTableSchema` (static import). Don't switch\n // this to `await import('@mastra/core/storage')`: that used to deadlock\n // `mastra build` output, because bundlers rewrite the dynamic import to\n // point at the entry chunk that statically depends on this file, so the\n // cycle never resolves when storage initializes during module\n // evaluation (#18298).\n const omSchema = _omTableSchema?.[OM_TABLE];\n\n if (omSchema) {\n await this.#db.createTable({\n tableName: OM_TABLE as any,\n schema: omSchema,\n });\n // Add new OM columns for backwards compatibility with existing databases\n await this.#db.alterTable({\n tableName: OM_TABLE as any,\n schema: omSchema,\n ifNotExists: OM_MIGRATION_COLUMNS,\n });\n }\n await this.#db.alterTable({\n tableName: TABLE_MESSAGES,\n schema: TABLE_SCHEMAS[TABLE_MESSAGES],\n ifNotExists: ['resourceId'],\n });\n if (omSchema) {\n // Create index on lookupKey for efficient OM queries\n const omTableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.createIndexFromStatement(\n 'idx_om_lookup_key',\n `CREATE INDEX IF NOT EXISTS idx_om_lookup_key ON ${omTableName} (\"lookupKey\")`,\n );\n }\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n /**\n * Lazily ensures a btree index exists on each configured policy's retention\n * anchor column so age-based `prune()` deletes stay fast on large tables.\n * Called from the prune path (not init) so only deployments that configure\n * retention pay the index's write/disk overhead. Best-effort: failures are\n * logged and pruning proceeds (correct, just slower).\n * Created even with `skipDefaultIndexes` — retention is an explicit opt-in,\n * so its supporting index is not part of the default index set.\n */\n private async ensureRetentionIndexes(policies: Record): Promise {\n const prefix = this.#schema && this.#schema !== 'public' ? `${this.#schema}_` : '';\n for (const [key, entry] of Object.entries(MemoryPG.retentionTables)) {\n if (!entry.indexed || !policies[key]) continue;\n try {\n await this.#db.ensureIndex({\n indexName: `${prefix}mastra_${key}_retention_idx`,\n tableName: entry.table as TABLE_NAMES,\n column: entry.column,\n });\n } catch (error) {\n this.logger?.warn?.(`Failed to create retention index for ${entry.table}:`, error);\n }\n }\n }\n\n /**\n * Returns default index definitions for the memory domain tables.\n * @param schemaPrefix - Prefix for index names (e.g. \"my_schema_\" or \"\")\n */\n static getDefaultIndexDefs(schemaPrefix: string): CreateIndexOptions[] {\n return [\n {\n name: `${schemaPrefix}mastra_threads_resourceid_createdat_idx`,\n table: TABLE_THREADS,\n columns: ['resourceId', 'createdAt DESC'],\n },\n {\n name: `${schemaPrefix}mastra_messages_thread_id_createdat_idx`,\n table: TABLE_MESSAGES,\n columns: ['thread_id', 'createdAt DESC'],\n },\n ];\n }\n\n /**\n * Returns all DDL statements for this domain: tables (threads, messages, resources, OM), indexes.\n * Used by exportSchemas to produce a complete, reproducible schema export.\n */\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n const parsedSchema = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n const schemaPrefix = parsedSchema && parsedSchema !== 'public' ? `${parsedSchema}_` : '';\n const quotedSchemaName = dbGetSchemaName(schemaName);\n\n // Tables: threads, messages, resources\n for (const tableName of [TABLE_THREADS, TABLE_MESSAGES, TABLE_RESOURCES] as const) {\n statements.push(\n generateTableSQL({\n tableName,\n schema: TABLE_SCHEMAS[tableName],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n }\n\n // Observational memory table (if schema available in this version of core)\n const omSchema = _omTableSchema?.[OM_TABLE];\n if (omSchema) {\n statements.push(\n generateTableSQL({\n tableName: OM_TABLE as any,\n schema: omSchema,\n schemaName,\n includeAllConstraints: true,\n }),\n );\n // idx_om_lookup_key index\n const fullOmTableName = dbGetTableName({ indexName: OM_TABLE, schemaName: quotedSchemaName });\n const idxPrefix = schemaPrefix ? `${schemaPrefix}` : '';\n statements.push(\n `CREATE INDEX IF NOT EXISTS \"${idxPrefix}idx_om_lookup_key\" ON ${fullOmTableName} (\"lookupKey\");`,\n );\n }\n\n // Default indexes\n for (const idx of MemoryPG.getDefaultIndexDefs(schemaPrefix)) {\n statements.push(generateIndexSQL(idx, schemaName));\n }\n\n return statements;\n }\n\n /**\n * Returns default index definitions for this instance's schema.\n */\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return MemoryPG.getDefaultIndexDefs(schemaPrefix);\n }\n\n /**\n * Creates default indexes for optimal query performance.\n */\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) {\n return;\n }\n\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n // Log but continue - indexes are performance optimizations\n this.logger?.warn?.(`Failed to create index ${indexDef.name}:`, error);\n }\n }\n }\n\n /**\n * Creates custom user-defined indexes for this domain's tables.\n */\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) {\n return;\n }\n\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n // Log but continue - indexes are performance optimizations\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_MESSAGES });\n await this.#db.clearTable({ tableName: TABLE_THREADS });\n await this.#db.clearTable({ tableName: TABLE_RESOURCES });\n }\n\n /**\n * Deletes rows older than the configured `maxAge` per table, in bounded,\n * batched, cancellable chunks. Tables are pruned children-first (messages and\n * resources before threads) since PostgreSQL has no FK cascade in this schema.\n * Unset tables are kept forever.\n *\n * When a `messages` policy is set, semantic-recall embeddings for pruned\n * messages are also swept from same-schema `memory_messages*` vector tables\n * (best-effort, mirroring `deleteThread`). Embeddings held in an external\n * vector store are out of reach and must be pruned by the operator.\n */\n async prune(policies: Record, options?: PruneOptions): Promise {\n await this.ensureRetentionIndexes(policies);\n const targets = resolveTargets({\n policies,\n descriptor: MemoryPG.retentionTables,\n order: ['messages', 'resources', 'threads'],\n });\n const results = await runPrune({ db: this.#db, domain: 'memory', targets, options });\n if (policies['messages']) {\n await this.pruneOrphanedVectorRows(policies['messages'], options);\n }\n return results;\n }\n\n /**\n * Best-effort sweep of semantic-recall vector rows whose source message no\n * longer exists (e.g. it was just pruned), so recall doesn't keep returning\n * embeddings that resolve to nothing. Only same-schema default vector tables\n * (`memory_messages*`) are covered — the same set `deleteThread` cleans up.\n * Failures are logged, never thrown: vector cleanup must not fail the prune.\n */\n private async pruneOrphanedVectorRows(policy: TableRetentionPolicy, options?: PruneOptions): Promise {\n try {\n const schemaName = this.#schema || 'public';\n const vectorTables = await this.#db.client.manyOrNone<{ tablename: string }>(\n `\n SELECT tablename\n FROM pg_tables\n WHERE schemaname = $1\n AND (tablename = 'memory_messages' OR tablename LIKE 'memory_messages_%')\n `,\n [schemaName],\n );\n\n const messagesTable = getTableName({ indexName: TABLE_MESSAGES, schemaName: getSchemaName(this.#schema) });\n for (const { tablename } of vectorTables) {\n const vectorTableName = getTableName({ indexName: tablename, schemaName: getSchemaName(this.#schema) });\n await runBatchedDelete({\n deleteBatch: async limit => {\n const result = await this.#db.client.query(\n `\n DELETE FROM ${vectorTableName}\n WHERE ctid IN (\n SELECT v.ctid FROM ${vectorTableName} v\n WHERE v.metadata->>'message_id' IS NOT NULL\n AND NOT EXISTS (SELECT 1 FROM ${messagesTable} m WHERE m.id = v.metadata->>'message_id')\n LIMIT $1\n )\n `,\n [limit],\n );\n return result.rowCount ?? 0;\n },\n batchSize: policy.batchSize ?? 1000,\n options,\n });\n }\n } catch (error) {\n this.logger?.warn?.('Failed to sweep orphaned semantic-recall vector rows after prune:', error);\n }\n }\n\n /**\n * Normalizes message row from database by applying createdAtZ fallback\n */\n private normalizeMessageRow(row: MessageRowFromDB): Omit {\n return {\n id: row.id,\n content: row.content,\n role: row.role,\n type: row.type,\n createdAt: row.createdAtZ || row.createdAt,\n threadId: row.threadId,\n resourceId: row.resourceId,\n };\n }\n\n async getThreadById({\n threadId,\n resourceId,\n }: {\n threadId: string;\n resourceId?: string;\n }): Promise {\n return this.#getThreadById(this.#db.readClient, { threadId, resourceId });\n }\n\n /**\n * Thread lookup against an explicit client. Mutation paths pass the writer so\n * a lagging read replica cannot produce false not-found or stale metadata.\n */\n async #getThreadById(\n client: DbClient,\n { threadId, resourceId }: { threadId: string; resourceId?: string },\n ): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_THREADS, schemaName: getSchemaName(this.#schema) });\n\n let query = `SELECT * FROM ${tableName} WHERE id = $1`;\n let params: any[] = [threadId];\n\n if (resourceId !== undefined) {\n query += ` AND \"resourceId\" = $2`;\n params.push(resourceId);\n }\n\n const thread = await client.oneOrNone(query, params);\n\n if (!thread) {\n return null;\n }\n\n return {\n id: thread.id,\n resourceId: thread.resourceId,\n title: thread.title,\n metadata: typeof thread.metadata === 'string' ? JSON.parse(thread.metadata) : thread.metadata,\n createdAt: thread.createdAtZ || thread.createdAt,\n updatedAt: thread.updatedAtZ || thread.updatedAt,\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_THREAD_BY_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n threadId,\n },\n },\n error,\n );\n }\n }\n\n /**\n * Atomically reassign a thread and all of its messages to a different resource.\n *\n * Runs inside a single transaction and takes a `SELECT ... FOR UPDATE` row lock on the\n * thread, so overlapping transfers of the same thread serialize and can never interleave\n * the thread update with the message update. Either both the thread and every message move\n * to the new resource, or neither does — there is no split-ownership window. The thread's\n * `createdAt` is preserved. Callers are responsible for authorizing the reassignment.\n */\n async updateThreadResourceId({\n threadId,\n resourceId,\n }: {\n threadId: string;\n resourceId: string;\n }): Promise {\n const threadsTable = getTableName({ indexName: TABLE_THREADS, schemaName: getSchemaName(this.#schema) });\n const messagesTable = getTableName({ indexName: TABLE_MESSAGES, schemaName: getSchemaName(this.#schema) });\n\n try {\n return await this.#db.client.tx(async t => {\n // Lock the thread row for the duration of the transaction. Concurrent transfers of the\n // same thread block here until this transaction commits, so they cannot interleave.\n const thread = await t.oneOrNone(\n `SELECT * FROM ${threadsTable} WHERE id = $1 FOR UPDATE`,\n [threadId],\n );\n\n if (!thread) {\n throw new Error(`Thread \"${threadId}\" not found`);\n }\n\n const normalized: StorageThreadType = {\n id: thread.id,\n resourceId: thread.resourceId,\n title: thread.title,\n metadata: typeof thread.metadata === 'string' ? JSON.parse(thread.metadata) : thread.metadata,\n createdAt: thread.createdAtZ || thread.createdAt,\n updatedAt: thread.updatedAtZ || thread.updatedAt,\n };\n\n if (thread.resourceId === resourceId) {\n return normalized;\n }\n\n await t.none(\n `UPDATE ${threadsTable} SET \"resourceId\" = $1, \"updatedAt\" = NOW(), \"updatedAtZ\" = NOW() WHERE id = $2`,\n [resourceId, threadId],\n );\n await t.none(`UPDATE ${messagesTable} SET \"resourceId\" = $1 WHERE thread_id = $2`, [resourceId, threadId]);\n\n return { ...normalized, resourceId, updatedAt: new Date() };\n });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_THREAD_RESOURCE_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { threadId, resourceId },\n },\n error,\n );\n }\n }\n\n public async listThreads(args: StorageListThreadsInput): Promise {\n const { page = 0, perPage: perPageInput, orderBy, filter } = args;\n\n try {\n // Validate pagination input before normalization\n // This ensures page === 0 when perPageInput === false\n this.validatePaginationInput(page, perPageInput ?? 100);\n } catch (error) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'LIST_THREADS', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: error instanceof Error ? error.message : 'Invalid pagination parameters',\n details: { page, ...(perPageInput !== undefined && { perPage: perPageInput }) },\n });\n }\n\n const perPage = normalizePerPage(perPageInput, 100);\n\n // Validate metadata keys to prevent SQL injection\n try {\n this.validateMetadataKeys(filter?.metadata);\n } catch (error) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'LIST_THREADS', 'INVALID_METADATA_KEY'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: error instanceof Error ? error.message : 'Invalid metadata key',\n details: { metadataKeys: filter?.metadata ? Object.keys(filter.metadata).join(', ') : '' },\n });\n }\n\n const { field, direction } = this.parseOrderBy(orderBy);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n try {\n const tableName = getTableName({ indexName: TABLE_THREADS, schemaName: getSchemaName(this.#schema) });\n const whereClauses: string[] = [];\n const queryParams: any[] = [];\n let paramIndex = 1;\n\n // Add resourceId filter if provided\n if (filter?.resourceId) {\n whereClauses.push(`\"resourceId\" = $${paramIndex}`);\n queryParams.push(filter.resourceId);\n paramIndex++;\n }\n\n // Add metadata filters if provided (AND logic)\n // Uses JSONB containment (@>) to avoid SQL injection and correctly match all value types including null\n // metadata column is TEXT type storing JSON, so we need to cast to jsonb first\n if (filter?.metadata && Object.keys(filter.metadata).length > 0) {\n for (const [key, value] of Object.entries(filter.metadata)) {\n // Use JSONB containment operator - no key interpolation needed\n whereClauses.push(`metadata::jsonb @> $${paramIndex}::jsonb`);\n // Build a small JSON object for each key-value pair\n queryParams.push(JSON.stringify({ [key]: value }));\n paramIndex++;\n }\n }\n\n const whereClause = whereClauses.length > 0 ? `WHERE ${whereClauses.join(' AND ')}` : '';\n const baseQuery = `FROM ${tableName} ${whereClause}`;\n\n const countQuery = `SELECT COUNT(*) ${baseQuery}`;\n const countResult = await this.#db.readClient.one(countQuery, queryParams);\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return {\n threads: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const limitValue = perPageInput === false ? total : perPage;\n // Select both standard and timezone-aware columns (*Z) for proper UTC timestamp handling\n const dataQuery = `SELECT id, \"resourceId\", title, metadata, \"createdAt\", \"createdAtZ\", \"updatedAt\", \"updatedAtZ\" ${baseQuery} ORDER BY COALESCE(\"${field}Z\", \"${field}\") ${direction} LIMIT $${paramIndex} OFFSET $${paramIndex + 1}`;\n const rows = await this.#db.readClient.manyOrNone(\n dataQuery,\n [...queryParams, limitValue, offset],\n );\n\n const threads = (rows || []).map(thread => ({\n id: thread.id,\n resourceId: thread.resourceId,\n title: thread.title,\n metadata: typeof thread.metadata === 'string' ? JSON.parse(thread.metadata) : thread.metadata,\n // Use timezone-aware columns (*Z) for correct UTC timestamps, with fallback for legacy data\n createdAt: thread.createdAtZ || thread.createdAt,\n updatedAt: thread.updatedAtZ || thread.updatedAt,\n }));\n\n return {\n threads,\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n };\n } catch (error) {\n // Re-throw USER errors (validation errors) directly so callers get proper 400 responses\n if (error instanceof MastraError && error.category === ErrorCategory.USER) {\n throw error;\n }\n const mastraError = new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_THREADS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n ...(filter?.resourceId && { resourceId: filter.resourceId }),\n hasMetadataFilter: !!filter?.metadata,\n page,\n },\n },\n error,\n );\n this.logger?.error?.(mastraError.toString());\n this.logger?.trackException(mastraError);\n throw mastraError;\n }\n }\n\n async saveThread({ thread }: { thread: StorageThreadType }): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_THREADS, schemaName: getSchemaName(this.#schema) });\n const createdAt = toUtcISOString(thread.createdAt);\n const updatedAt = toUtcISOString(thread.updatedAt);\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id,\n \"resourceId\",\n title,\n metadata,\n \"createdAt\",\n \"createdAtZ\",\n \"updatedAt\",\n \"updatedAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8)\n ON CONFLICT (id) DO UPDATE SET\n \"resourceId\" = EXCLUDED.\"resourceId\",\n title = EXCLUDED.title,\n metadata = EXCLUDED.metadata,\n \"createdAt\" = EXCLUDED.\"createdAt\",\n \"createdAtZ\" = EXCLUDED.\"createdAtZ\",\n \"updatedAt\" = EXCLUDED.\"updatedAt\",\n \"updatedAtZ\" = EXCLUDED.\"updatedAtZ\"`,\n [\n thread.id,\n thread.resourceId,\n thread.title,\n thread.metadata ? JSON.stringify(thread.metadata) : null,\n createdAt,\n createdAt,\n updatedAt,\n updatedAt,\n ],\n );\n\n return thread;\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'SAVE_THREAD', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n threadId: thread.id,\n },\n },\n error,\n );\n }\n }\n\n async updateThread({\n id,\n title,\n metadata,\n }: {\n id: string;\n title?: string;\n metadata?: Record;\n }): Promise {\n const threadTableName = getTableName({ indexName: TABLE_THREADS, schemaName: getSchemaName(this.#schema) });\n const existingThread = await this.#getThreadById(this.#db.client, { threadId: id });\n if (!existingThread) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_THREAD', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: `Thread ${id} not found`,\n details: {\n threadId: id,\n title: title ?? null,\n },\n });\n }\n\n const mergedMetadata = {\n ...existingThread.metadata,\n ...metadata,\n };\n\n try {\n const now = new Date();\n const nowStr = toUtcISOString(now);\n const thread = await this.#db.client.one(\n `UPDATE ${threadTableName}\n SET\n title = COALESCE($1, title),\n metadata = $2,\n \"updatedAt\" = $3,\n \"updatedAtZ\" = $4\n WHERE id = $5\n RETURNING *\n `,\n [title ?? null, mergedMetadata, nowStr, nowStr, id],\n );\n\n return {\n id: thread.id,\n resourceId: thread.resourceId,\n title: thread.title,\n metadata: typeof thread.metadata === 'string' ? JSON.parse(thread.metadata) : thread.metadata,\n createdAt: thread.createdAtZ || thread.createdAt,\n updatedAt: thread.updatedAtZ || thread.updatedAt,\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_THREAD', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n threadId: id,\n title: title ?? null,\n },\n },\n error,\n );\n }\n }\n\n async deleteThread({ threadId }: { threadId: string }): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_MESSAGES, schemaName: getSchemaName(this.#schema) });\n const threadTableName = getTableName({ indexName: TABLE_THREADS, schemaName: getSchemaName(this.#schema) });\n await this.#db.client.tx(async t => {\n await t.none(`DELETE FROM ${tableName} WHERE thread_id = $1`, [threadId]);\n\n const schemaName = this.#schema || 'public';\n const vectorTables = await t.manyOrNone<{ tablename: string }>(\n `\n SELECT tablename\n FROM pg_tables\n WHERE schemaname = $1\n AND (tablename = 'memory_messages' OR tablename LIKE 'memory_messages_%')\n `,\n [schemaName],\n );\n\n for (const { tablename } of vectorTables) {\n const vectorTableName = getTableName({ indexName: tablename, schemaName: getSchemaName(this.#schema) });\n await t.none(`DELETE FROM ${vectorTableName} WHERE metadata->>'thread_id' = $1`, [threadId]);\n }\n\n await t.none(`DELETE FROM ${threadTableName} WHERE id = $1`, [threadId]);\n });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_THREAD', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n threadId,\n },\n },\n error,\n );\n }\n }\n\n /**\n * Fetches messages around target messages using cursor-based pagination.\n *\n * This replaces the previous ROW_NUMBER() approach which caused severe performance\n * issues on large tables (see GitHub issue #11150). The old approach required\n * scanning and sorting ALL messages in a thread to assign row numbers.\n *\n * The current approach uses two phases for optimal performance:\n * 1. Batch-fetch all target messages' metadata (thread_id, createdAt) in one query\n * 2. Build cursor subqueries using \"createdAt\" directly (not COALESCE) so that\n * the existing (thread_id, createdAt DESC) index can be used for index scans\n * instead of sequential scans. This fixes GitHub issue #11702 where semantic\n * recall latency scaled linearly with message count (~30s for 7.4k messages).\n */\n private _sortMessages(messages: MastraDBMessage[], field: string, direction: string): MastraDBMessage[] {\n return messages.sort((a, b) => {\n const aValue = field === 'createdAt' ? new Date(a.createdAt).getTime() : (a as any)[field];\n const bValue = field === 'createdAt' ? new Date(b.createdAt).getTime() : (b as any)[field];\n\n if (aValue == null && bValue == null) return a.id.localeCompare(b.id);\n if (aValue == null) return 1;\n if (bValue == null) return -1;\n\n if (aValue === bValue) {\n return a.id.localeCompare(b.id);\n }\n\n if (typeof aValue === 'number' && typeof bValue === 'number') {\n return direction === 'ASC' ? aValue - bValue : bValue - aValue;\n }\n return direction === 'ASC'\n ? String(aValue).localeCompare(String(bValue))\n : String(bValue).localeCompare(String(aValue));\n });\n }\n\n /**\n * Fetches included messages by ID, discovering their thread automatically.\n * This handles cross-thread includes where the include item doesn't specify a threadId.\n * When a resourceId is given, both the target lookup and the surrounding window stay\n * inside that resource, so an include never leaks another resource's messages.\n */\n private async _getIncludedMessages({\n include,\n resourceId,\n }: {\n include: StorageListMessagesInput['include'];\n resourceId?: string;\n }) {\n if (!include || include.length === 0) return null;\n\n const tableName = getTableName({ indexName: TABLE_MESSAGES, schemaName: getSchemaName(this.#schema) });\n const selectColumns = `id, content, role, type, \"createdAt\", \"createdAtZ\", thread_id AS \"threadId\", \"resourceId\"`;\n\n // Phase 1: Batch-fetch metadata for all target messages in a single query.\n // This eliminates the correlated subselects that previously ran per-subquery.\n const targetIds = include.map(inc => inc.id).filter(Boolean);\n if (targetIds.length === 0) return null;\n\n const idPlaceholders = targetIds.map((_, i) => '$' + (i + 1)).join(', ');\n const targetResourceCondition = resourceId ? ` AND \"resourceId\" = $${targetIds.length + 1}` : '';\n const targetRows = await this.#db.readClient.manyOrNone<{\n id: string;\n thread_id: string;\n createdAt: Date | string;\n }>(\n `SELECT id, thread_id, \"createdAt\" FROM ${tableName} WHERE id IN (${idPlaceholders})${targetResourceCondition}`,\n resourceId ? [...targetIds, resourceId] : targetIds,\n );\n\n if (targetRows.length === 0) return null;\n\n const targetMap = new Map(targetRows.map(r => [r.id, { threadId: r.thread_id, createdAt: r.createdAt }]));\n\n // Phase 2: Build cursor subqueries using materialized constants from Phase 1.\n // Uses \"createdAt\" directly instead of COALESCE(\"createdAtZ\", \"createdAt\") so\n // the (thread_id, createdAt DESC) composite index covers the query.\n // createdAt and createdAtZ always store the same instant (createdAtZ is a TIMESTAMPTZ\n // copy for timezone-correctness), so using createdAt for ordering is safe.\n const unionQueries: string[] = [];\n const params: any[] = [];\n // resourceId is the same for every subquery, so bind it once as $1 and reference\n // that placeholder from each subquery instead of re-binding it per include item.\n let resourceCondition = '';\n if (resourceId) {\n params.push(resourceId);\n resourceCondition = ` AND m.\"resourceId\" = $1`;\n }\n let paramIdx = params.length + 1;\n\n for (const inc of include) {\n const { id, withPreviousMessages = 0, withNextMessages = 0 } = inc;\n const target = targetMap.get(id);\n if (!target) continue;\n\n // Fetch the target message itself plus previous messages.\n // Uses createdAt <= target's createdAt, ordered DESC, limited to withPreviousMessages + 1\n const p1 = '$' + paramIdx;\n const p2 = '$' + (paramIdx + 1);\n const p3 = '$' + (paramIdx + 2);\n unionQueries.push(`(\n SELECT ${selectColumns}\n FROM ${tableName} m\n WHERE m.thread_id = ${p1}\n AND m.\"createdAt\" <= ${p2}${resourceCondition}\n ORDER BY m.\"createdAt\" DESC, m.id DESC\n LIMIT ${p3}\n )`);\n params.push(target.threadId, target.createdAt, withPreviousMessages + 1);\n paramIdx += 3;\n\n // Fetch messages after the target (only if requested)\n if (withNextMessages > 0) {\n const p4 = '$' + paramIdx;\n const p5 = '$' + (paramIdx + 1);\n const p6 = '$' + (paramIdx + 2);\n unionQueries.push(`(\n SELECT ${selectColumns}\n FROM ${tableName} m\n WHERE m.thread_id = ${p4}\n AND m.\"createdAt\" > ${p5}${resourceCondition}\n ORDER BY m.\"createdAt\" ASC, m.id ASC\n LIMIT ${p6}\n )`);\n params.push(target.threadId, target.createdAt, withNextMessages);\n paramIdx += 3;\n }\n }\n\n if (unionQueries.length === 0) return null;\n\n // When there's only one subquery, we don't need UNION ALL or an outer ORDER BY\n // (the subquery already has its own ORDER BY)\n // When there are multiple subqueries, we join them and sort the combined result\n let finalQuery: string;\n if (unionQueries.length === 1) {\n // Single query - just use it directly (remove outer parentheses for cleaner SQL)\n finalQuery = unionQueries[0]!.slice(1, -1); // Remove ( and )\n } else {\n // Multiple queries - UNION ALL and sort the result\n finalQuery = `SELECT * FROM (${unionQueries.join(' UNION ALL ')}) AS combined ORDER BY \"createdAt\" ASC, id ASC`;\n }\n const includedRows = await this.#db.readClient.manyOrNone(finalQuery, params);\n\n // Deduplicate results (messages may appear in multiple context windows)\n const seen = new Set();\n const dedupedRows = includedRows.filter(row => {\n if (seen.has(row.id)) return false;\n seen.add(row.id);\n return true;\n });\n return dedupedRows;\n }\n\n private parseRow(row: MessageRowFromDB): MastraDBMessage {\n const normalized = this.normalizeMessageRow(row);\n let content = normalized.content;\n try {\n content = JSON.parse(normalized.content);\n } catch {\n // use content as is if it's not JSON\n }\n return {\n id: normalized.id,\n content,\n role: normalized.role as MastraDBMessage['role'],\n createdAt: new Date(normalized.createdAt as string),\n threadId: normalized.threadId,\n resourceId: normalized.resourceId,\n ...(normalized.type && normalized.type !== 'v2' ? { type: normalized.type } : {}),\n } satisfies MastraDBMessage;\n }\n\n public async listMessagesById({ messageIds }: { messageIds: string[] }): Promise<{ messages: MastraDBMessage[] }> {\n if (messageIds.length === 0) return { messages: [] };\n const selectStatement = `SELECT id, content, role, type, \"createdAt\", \"createdAtZ\", thread_id AS \"threadId\", \"resourceId\"`;\n\n try {\n const tableName = getTableName({ indexName: TABLE_MESSAGES, schemaName: getSchemaName(this.#schema) });\n const query = `\n ${selectStatement} FROM ${tableName}\n WHERE id IN (${inPlaceholders(messageIds.length)})\n ORDER BY \"createdAt\" DESC\n `;\n const resultRows = await this.#db.readClient.manyOrNone(query, messageIds);\n\n const list = new MessageList().add(\n resultRows.map(row => this.parseRow(row)) as (MastraMessageV1 | MastraDBMessage)[],\n 'memory',\n );\n return { messages: list.get.all.db() };\n } catch (error) {\n const mastraError = new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_MESSAGES_BY_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n messageIds: JSON.stringify(messageIds),\n },\n },\n error,\n );\n this.logger?.error?.(mastraError.toString());\n this.logger?.trackException(mastraError);\n throw mastraError;\n }\n }\n\n /**\n * Reads one page of messages together with the total row count.\n *\n * Every page query carries a skinny scalar `(SELECT COUNT(*) ...)` subquery that\n * reports the total over the whole WHERE result on the same statement as the page,\n * so the page costs one database round-trip instead of two. The page and the count\n * also come from one snapshot, so the count always describes the returned rows. A\n * separate `COUNT(*)` runs only as a fallback when the page is empty and the caller\n * asked for a page after the last row, because there is then no row to carry the\n * count on.\n */\n async #fetchMessagePage({\n selectStatement,\n tableName,\n whereClause,\n orderByStatement,\n queryParams,\n perPageInput,\n perPage,\n offset,\n includeTotal = true,\n }: {\n selectStatement: string;\n tableName: string;\n whereClause: string;\n orderByStatement: string;\n queryParams: any[];\n perPageInput: number | false | undefined;\n perPage: number;\n offset: number;\n includeTotal?: boolean;\n }): Promise<{ total: number; messages: MessageRowFromDB[]; hasMore?: boolean }> {\n // When the caller does not need `total` (e.g. agent last-N reads), skip the\n // `COUNT(*)` subquery entirely. For a bounded page we peek one extra row\n // (LIMIT perPage + 1) so `hasMore` can be derived without counting the whole\n // thread. `total` is not a real count in this path, so callers must not use it.\n if (includeTotal === false && perPageInput !== false) {\n const peekLimit = perPage + 1;\n const rows =\n (await this.#db.readClient.manyOrNone(\n `${selectStatement} FROM ${tableName} ${whereClause} ${orderByStatement} LIMIT $${queryParams.length + 1} OFFSET $${queryParams.length + 2}`,\n [...queryParams, peekLimit, offset],\n )) || [];\n const hasMore = rows.length > perPage;\n const messages = hasMore ? rows.slice(0, perPage) : rows;\n return { total: offset + messages.length, messages, hasMore };\n }\n\n // `perPageInput === false` means \"every row\", so no LIMIT is applied.\n const limitClause =\n perPageInput === false ? '' : ` LIMIT $${queryParams.length + 1} OFFSET $${queryParams.length + 2}`;\n const dataParams = perPageInput === false ? queryParams : [...queryParams, perPage, offset];\n\n if (includeTotal === false) {\n // Unbounded read (perPageInput === false) that does not need `total`: skip the\n // COUNT(*) subquery. Every matching row is returned, so `hasMore` is false.\n const rows =\n (await this.#db.readClient.manyOrNone(\n `${selectStatement} FROM ${tableName} ${whereClause} ${orderByStatement}`,\n dataParams,\n )) || [];\n return { total: rows.length, messages: rows, hasMore: false };\n }\n\n // Use a skinny scalar COUNT(*) subquery rather than COUNT(*) OVER (). The window ran over\n // the full SELECT list, forcing Postgres to materialize/heap-fetch `content` for every\n // matching row before LIMIT. The uncorrelated subquery is evaluated once (InitPlan) and\n // can use an index-only scan, while the outer SELECT is served by an index scan + LIMIT.\n // Both WHERE clauses reference the same positional params, so `dataParams` is unchanged.\n const rows =\n (await this.#db.readClient.manyOrNone(\n `${selectStatement}, (SELECT COUNT(*) FROM ${tableName} ${whereClause}) AS \"__total\" FROM ${tableName} ${whereClause} ${orderByStatement}${limitClause}`,\n dataParams,\n )) || [];\n\n if (rows.length > 0) {\n return { total: Number(rows[0]!.__total), messages: rows };\n }\n if (offset === 0) {\n return { total: 0, messages: [] };\n }\n const countResult = await this.#db.readClient.one(`SELECT COUNT(*) FROM ${tableName} ${whereClause}`, queryParams);\n return { total: parseInt(countResult.count, 10), messages: [] };\n }\n\n public async listMessages(args: StorageListMessagesInput): Promise {\n const {\n threadId,\n resourceId,\n include,\n filter,\n perPage: perPageInput,\n page = 0,\n orderBy,\n includeTotal = true,\n } = args;\n\n const threadIds = (Array.isArray(threadId) ? threadId : [threadId]).filter(\n (id): id is string => typeof id === 'string',\n );\n\n if (threadIds.length === 0 || threadIds.some(id => !id.trim())) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_MESSAGES', 'INVALID_THREAD_ID'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { threadId: Array.isArray(threadId) ? String(threadId) : String(threadId) },\n },\n new Error('threadId must be a non-empty string or array of non-empty strings'),\n );\n }\n\n if (page < 0) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'LIST_MESSAGES', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: 'Page number must be non-negative',\n details: {\n threadId: Array.isArray(threadId) ? threadId.join(',') : threadId,\n page,\n },\n });\n }\n\n const perPage = normalizePerPage(perPageInput, 40);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n const metadataFilter = validateStorageMetadataFilter(filter?.metadata);\n\n try {\n const { field, direction } = this.parseOrderBy(orderBy, 'ASC');\n // Order by the raw timestamp column (not COALESCE(\"${field}Z\", \"${field}\")) so the\n // (thread_id, createdAt DESC) composite index can serve the LIMIT with an index scan\n // instead of materializing/seq-scanning the whole thread. createdAt and createdAtZ\n // always store the same instant (createdAtZ is a TIMESTAMPTZ copy), so row selection\n // under LIMIT is identical. This mirrors the index-safe ordering in _getIncludedMessages.\n const orderByStatement = `ORDER BY \"${field}\" ${direction}`;\n\n const selectStatement = `SELECT id, content, role, type, \"createdAt\", \"createdAtZ\", thread_id AS \"threadId\", \"resourceId\"`;\n const tableName = getTableName({ indexName: TABLE_MESSAGES, schemaName: getSchemaName(this.#schema) });\n\n const conditions: string[] = [`thread_id IN (${inPlaceholders(threadIds.length)})`];\n const queryParams: any[] = [...threadIds];\n let paramIndex = threadIds.length + 1;\n\n if (resourceId) {\n conditions.push(`\"resourceId\" = $${paramIndex++}`);\n queryParams.push(resourceId);\n }\n\n if (filter?.dateRange?.start) {\n const startOp = filter.dateRange.startExclusive ? '>' : '>=';\n conditions.push(`COALESCE(\"createdAtZ\", \"createdAt\") ${startOp} $${paramIndex++}`);\n queryParams.push(filter.dateRange.start);\n }\n\n if (filter?.dateRange?.end) {\n const endOp = filter.dateRange.endExclusive ? '<' : '<=';\n conditions.push(`COALESCE(\"createdAtZ\", \"createdAt\") ${endOp} $${paramIndex++}`);\n queryParams.push(filter.dateRange.end);\n }\n\n const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';\n\n // When perPage is 0 with no includes, there's nothing to return.\n if (perPage === 0 && (!include || include.length === 0)) {\n return { messages: [], total: 0, page, perPage: perPageForResponse, hasMore: false };\n }\n\n // When perPage is 0 and we have include targets, skip COUNT(*) and data queries.\n // This is the semantic recall path where we only need the included messages.\n if (perPage === 0 && include && include.length > 0) {\n const includeMessages = await this._getIncludedMessages({ include, resourceId });\n if (!includeMessages || includeMessages.length === 0) {\n return { messages: [], total: 0, page, perPage: perPageForResponse, hasMore: false };\n }\n const messagesWithParsedContent = includeMessages.map(row => this.parseRow(row));\n const list = new MessageList().add(messagesWithParsedContent, 'memory');\n return {\n messages: this._sortMessages(list.get.all.db(), field, direction),\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n // The included messages do not depend on the page, so start that read now and\n // let it overlap the page read. The rejection is captured here so a failure of\n // the page read cannot leave this promise unhandled.\n let includeFailure: unknown;\n const includePromise =\n include && include.length > 0\n ? this._getIncludedMessages({ include, resourceId }).catch((error: unknown) => {\n includeFailure = error;\n return null;\n })\n : null;\n\n let total: number;\n let messages: MessageRowFromDB[];\n let peekedHasMore: boolean | undefined;\n if (metadataFilter) {\n const rows = await this.#db.readClient.manyOrNone(\n `${selectStatement} FROM ${tableName} ${whereClause} ${orderByStatement}`,\n queryParams,\n );\n const filteredRows = (rows || []).filter(row =>\n storageMessageMatchesMetadataFilter(row.content, metadataFilter),\n );\n total = filteredRows.length;\n messages = perPageInput === false ? filteredRows : filteredRows.slice(offset, offset + perPage);\n } else {\n const pageResult = await this.#fetchMessagePage({\n selectStatement,\n tableName,\n whereClause,\n orderByStatement,\n queryParams,\n perPageInput,\n perPage,\n offset,\n includeTotal,\n });\n total = pageResult.total;\n messages = pageResult.messages;\n peekedHasMore = pageResult.hasMore;\n }\n const primaryPageCount = messages.length;\n\n if (total === 0 && messages.length === 0 && (!include || include.length === 0)) {\n return {\n messages: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const messageIds = new Set(messages.map(m => m.id));\n if (include && include.length > 0) {\n const includeMessages = await includePromise;\n if (includeFailure) throw includeFailure;\n if (includeMessages) {\n for (const includeMsg of includeMessages) {\n if (!messageIds.has(includeMsg.id)) {\n messages.push(includeMsg);\n messageIds.add(includeMsg.id);\n }\n }\n }\n }\n\n const messagesWithParsedContent = messages.map(row => this.parseRow(row));\n\n const list = new MessageList().add(messagesWithParsedContent, 'memory');\n const finalMessages = this._sortMessages(list.get.all.db(), field, direction);\n\n const threadIdSet = new Set(threadIds);\n const returnedThreadMessageIds = new Set(\n finalMessages.filter(m => m.threadId && threadIdSet.has(m.threadId)).map(m => m.id),\n );\n const allThreadMessagesReturned = returnedThreadMessageIds.size >= total;\n const hasMore =\n peekedHasMore !== undefined\n ? peekedHasMore\n : metadataFilter\n ? perPageInput !== false && offset + primaryPageCount < total\n : perPageInput !== false && !allThreadMessagesReturned && offset + perPage < total;\n\n return {\n messages: finalMessages,\n total,\n page,\n perPage: perPageForResponse,\n hasMore,\n };\n } catch (error) {\n // Re-throw USER errors (validation errors) directly so callers get proper 400 responses\n if (error instanceof MastraError && error.category === ErrorCategory.USER) {\n throw error;\n }\n const mastraError = new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_MESSAGES', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n threadId: Array.isArray(threadId) ? threadId.join(',') : threadId,\n resourceId: resourceId ?? '',\n },\n },\n error,\n );\n this.logger?.error?.(mastraError.toString());\n this.logger?.trackException(mastraError);\n throw mastraError;\n }\n }\n\n public async listMessagesByResourceId(\n args: StorageListMessagesByResourceIdInput,\n ): Promise {\n const { resourceId, include, filter, perPage: perPageInput, page = 0, orderBy, includeTotal = true } = args;\n\n // Validate that resourceId is provided\n const hasResourceId = resourceId !== undefined && resourceId !== null && resourceId.trim() !== '';\n if (!hasResourceId) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_MESSAGES_BY_RESOURCE_ID', 'INVALID_QUERY'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: {\n resourceId: resourceId ?? '',\n },\n },\n new Error('resourceId is required'),\n );\n }\n\n // Validate page parameter\n if (page < 0) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'LIST_MESSAGES_BY_RESOURCE_ID', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: 'Page number must be non-negative',\n details: {\n resourceId,\n page,\n },\n });\n }\n\n const perPage = normalizePerPage(perPageInput, 40);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n const metadataFilter = validateStorageMetadataFilter(filter?.metadata);\n\n try {\n const { field, direction } = this.parseOrderBy(orderBy, 'ASC');\n // Order by the raw timestamp column (not COALESCE(\"${field}Z\", \"${field}\")) so the\n // (thread_id, createdAt DESC) composite index can serve the LIMIT with an index scan\n // instead of materializing/seq-scanning the whole thread. createdAt and createdAtZ\n // always store the same instant (createdAtZ is a TIMESTAMPTZ copy), so row selection\n // under LIMIT is identical. This mirrors the index-safe ordering in _getIncludedMessages.\n const orderByStatement = `ORDER BY \"${field}\" ${direction}`;\n\n const selectStatement = `SELECT id, content, role, type, \"createdAt\", \"createdAtZ\", thread_id AS \"threadId\", \"resourceId\"`;\n const tableName = getTableName({ indexName: TABLE_MESSAGES, schemaName: getSchemaName(this.#schema) });\n\n // Build WHERE conditions\n const conditions: string[] = [];\n const queryParams: any[] = [];\n let paramIndex = 1;\n\n // Add resourceId filter\n conditions.push(`\"resourceId\" = $${paramIndex++}`);\n queryParams.push(resourceId);\n\n if (filter?.dateRange?.start) {\n const startOp = filter.dateRange.startExclusive ? '>' : '>=';\n conditions.push(`COALESCE(\"createdAtZ\", \"createdAt\") ${startOp} $${paramIndex++}`);\n queryParams.push(filter.dateRange.start);\n }\n\n if (filter?.dateRange?.end) {\n const endOp = filter.dateRange.endExclusive ? '<' : '<=';\n conditions.push(`COALESCE(\"createdAtZ\", \"createdAt\") ${endOp} $${paramIndex++}`);\n queryParams.push(filter.dateRange.end);\n }\n\n const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';\n\n // When perPage is 0 with no includes, there's nothing to return.\n if (perPage === 0 && (!include || include.length === 0)) {\n return { messages: [], total: 0, page, perPage: perPageForResponse, hasMore: false };\n }\n\n // Fast path: when perPage is 0 and include is provided, skip COUNT(*) and the\n // main data query entirely. This is the semantic recall path where only included\n // (vector-matched) messages are needed. Skipping the COUNT(*) avoids scanning\n // the entire thread which was a major source of latency for large threads.\n if (perPage === 0 && include && include.length > 0) {\n const includeMessages = await this._getIncludedMessages({ include, resourceId });\n if (!includeMessages || includeMessages.length === 0) {\n return {\n messages: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const messagesWithParsedContent = includeMessages.map(row => this.parseRow(row));\n const list = new MessageList().add(messagesWithParsedContent, 'memory');\n\n return {\n messages: this._sortMessages(list.get.all.db(), field, direction),\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n // The included messages do not depend on the page, so start that read now and\n // let it overlap the page read. The rejection is captured here so a failure of\n // the page read cannot leave this promise unhandled.\n let includeFailure: unknown;\n const includePromise =\n include && include.length > 0\n ? this._getIncludedMessages({ include, resourceId }).catch((error: unknown) => {\n includeFailure = error;\n return null;\n })\n : null;\n\n let total: number;\n let messages: MessageRowFromDB[];\n let peekedHasMore: boolean | undefined;\n if (metadataFilter) {\n const rows = await this.#db.readClient.manyOrNone(\n `${selectStatement} FROM ${tableName} ${whereClause} ${orderByStatement}`,\n queryParams,\n );\n const filteredRows = (rows || []).filter(row =>\n storageMessageMatchesMetadataFilter(row.content, metadataFilter),\n );\n total = filteredRows.length;\n messages = perPageInput === false ? filteredRows : filteredRows.slice(offset, offset + perPage);\n } else {\n const pageResult = await this.#fetchMessagePage({\n selectStatement,\n tableName,\n whereClause,\n orderByStatement,\n queryParams,\n perPageInput,\n perPage,\n offset,\n includeTotal,\n });\n total = pageResult.total;\n messages = pageResult.messages;\n peekedHasMore = pageResult.hasMore;\n }\n\n if (total === 0 && messages.length === 0 && (!include || include.length === 0)) {\n return {\n messages: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const messageIds = new Set(messages.map(m => m.id));\n if (include && include.length > 0) {\n const includeMessages = await includePromise;\n if (includeFailure) throw includeFailure;\n if (includeMessages) {\n for (const includeMsg of includeMessages) {\n if (!messageIds.has(includeMsg.id)) {\n messages.push(includeMsg);\n messageIds.add(includeMsg.id);\n }\n }\n }\n }\n\n const messagesWithParsedContent = messages.map(row => this.parseRow(row));\n\n const list = new MessageList().add(messagesWithParsedContent, 'memory');\n const finalMessages = this._sortMessages(list.get.all.db(), field, direction);\n\n const hasMore = peekedHasMore !== undefined ? peekedHasMore : perPageInput !== false && offset + perPage < total;\n\n return {\n messages: finalMessages,\n total,\n page,\n perPage: perPageForResponse,\n hasMore,\n };\n } catch (error) {\n // Re-throw USER errors (validation errors) directly so callers get proper 400 responses\n if (error instanceof MastraError && error.category === ErrorCategory.USER) {\n throw error;\n }\n const mastraError = new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_MESSAGES_BY_RESOURCE_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n resourceId: resourceId ?? '',\n },\n },\n error,\n );\n this.logger?.error?.(mastraError.toString());\n this.logger?.trackException(mastraError);\n throw mastraError;\n }\n }\n\n async saveMessages({ messages }: { messages: MastraDBMessage[] }): Promise<{ messages: MastraDBMessage[] }> {\n if (messages.length === 0) return { messages: [] };\n\n const threadId = messages[0]?.threadId;\n if (!threadId) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'SAVE_MESSAGES', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n text: `Thread ID is required`,\n });\n }\n\n try {\n const tableName = getTableName({ indexName: TABLE_MESSAGES, schemaName: getSchemaName(this.#schema) });\n const threadIds = new Set();\n for (const message of messages) {\n if (!message.threadId) {\n throw new Error(\n `Expected to find a threadId for message, but couldn't find one. An unexpected error has occurred.`,\n );\n }\n if (!message.resourceId) {\n throw new Error(\n `Expected to find a resourceId for message, but couldn't find one. An unexpected error has occurred.`,\n );\n }\n threadIds.add(message.threadId);\n }\n\n for (const threadIdToCheck of threadIds) {\n const thread = await this.#getThreadById(this.#db.client, { threadId: threadIdToCheck });\n if (!thread) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'SAVE_MESSAGES', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n text: `Thread ${threadIdToCheck} not found`,\n details: {\n threadId: threadIdToCheck,\n },\n });\n }\n }\n\n const messagesToSave = dedupeMessagesForSave(messages);\n await this.#db.client.tx(async t => {\n for (let offset = 0; offset < messagesToSave.length; offset += MAX_MESSAGES_PER_INSERT) {\n const batch = messagesToSave.slice(offset, offset + MAX_MESSAGES_PER_INSERT);\n const values: unknown[] = [];\n const valuePlaceholders = batch\n .map((message, messageIndex) => {\n const createdAt = toUtcISOString(message.createdAt || new Date());\n values.push(\n message.id,\n message.threadId,\n typeof message.content === 'string' ? message.content : JSON.stringify(message.content),\n createdAt,\n createdAt,\n message.role,\n message.type || 'v2',\n message.resourceId,\n );\n\n const paramOffset = messageIndex * MESSAGE_INSERT_BIND_PARAMETERS;\n return `(${Array.from(\n { length: MESSAGE_INSERT_BIND_PARAMETERS },\n (_, paramIndex) => `$${paramOffset + paramIndex + 1}`,\n ).join(', ')})`;\n })\n .join(', ');\n\n await t.none(\n `INSERT INTO ${tableName} (id, thread_id, content, \"createdAt\", \"createdAtZ\", role, type, \"resourceId\")\n VALUES ${valuePlaceholders}\n ON CONFLICT (id) DO UPDATE SET\n thread_id = EXCLUDED.thread_id,\n content = EXCLUDED.content,\n role = EXCLUDED.role,\n type = EXCLUDED.type,\n \"resourceId\" = EXCLUDED.\"resourceId\"`,\n values,\n );\n }\n\n const threadTableName = getTableName({ indexName: TABLE_THREADS, schemaName: getSchemaName(this.#schema) });\n const now = toUtcISOString(new Date());\n for (const threadIdToUpdate of threadIds) {\n await t.none(\n `UPDATE ${threadTableName}\n SET\n \"updatedAt\" = $1,\n \"updatedAtZ\" = $2\n WHERE id = $3`,\n [now, now, threadIdToUpdate],\n );\n }\n });\n\n const messagesWithParsedContent = messages.map(message => {\n if (typeof message.content === 'string') {\n try {\n return { ...message, content: JSON.parse(message.content) };\n } catch {\n return message;\n }\n }\n return message;\n });\n\n const list = new MessageList().add(messagesWithParsedContent as (MastraMessageV1 | MastraDBMessage)[], 'memory');\n return { messages: list.get.all.db() };\n } catch (error) {\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'SAVE_MESSAGES', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n threadId,\n },\n },\n error,\n );\n }\n }\n\n async updateMessages({\n messages,\n }: {\n messages: (Partial> & {\n id: string;\n content?: {\n metadata?: MastraMessageContentV2['metadata'];\n content?: MastraMessageContentV2['content'];\n };\n })[];\n }): Promise {\n if (messages.length === 0) {\n return [];\n }\n\n const messageIds = messages.map(m => m.id);\n\n const selectQuery = `SELECT id, content, role, type, \"createdAt\", \"createdAtZ\", thread_id AS \"threadId\", \"resourceId\" FROM ${getTableName({ indexName: TABLE_MESSAGES, schemaName: getSchemaName(this.#schema) })} WHERE id IN (${inPlaceholders(messageIds.length)})`;\n\n const existingMessagesDb = await this.#db.client.manyOrNone(selectQuery, messageIds);\n\n if (existingMessagesDb.length === 0) {\n return [];\n }\n\n const existingMessages: MastraDBMessage[] = existingMessagesDb.map(msg => {\n if (typeof msg.content === 'string') {\n try {\n msg.content = JSON.parse(msg.content);\n } catch {\n // ignore if not valid json\n }\n }\n return msg as MastraDBMessage;\n });\n\n const threadIdsToUpdate = new Set();\n\n await this.#db.client.tx(async t => {\n const queries = [];\n const columnMapping: Record = {\n threadId: 'thread_id',\n };\n\n for (const existingMessage of existingMessages) {\n const updatePayload = messages.find(m => m.id === existingMessage.id);\n if (!updatePayload) continue;\n\n const { id, ...fieldsToUpdate } = updatePayload;\n if (Object.keys(fieldsToUpdate).length === 0) continue;\n\n threadIdsToUpdate.add(existingMessage.threadId!);\n if (updatePayload.threadId && updatePayload.threadId !== existingMessage.threadId) {\n threadIdsToUpdate.add(updatePayload.threadId);\n }\n\n const setClauses: string[] = [];\n const values: any[] = [];\n let paramIndex = 1;\n\n const updatableFields = { ...fieldsToUpdate };\n\n if (updatableFields.content) {\n const newContent = {\n ...existingMessage.content,\n ...updatableFields.content,\n ...(existingMessage.content?.metadata && updatableFields.content.metadata\n ? {\n metadata: {\n ...existingMessage.content.metadata,\n ...updatableFields.content.metadata,\n },\n }\n : {}),\n };\n setClauses.push(`content = $${paramIndex++}`);\n values.push(newContent);\n delete updatableFields.content;\n }\n\n for (const key in updatableFields) {\n if (Object.prototype.hasOwnProperty.call(updatableFields, key)) {\n const dbColumn = columnMapping[key] || key;\n setClauses.push(`\"${dbColumn}\" = $${paramIndex++}`);\n values.push(updatableFields[key as keyof typeof updatableFields]);\n }\n }\n\n if (setClauses.length > 0) {\n values.push(id);\n const sql = `UPDATE ${getTableName({ indexName: TABLE_MESSAGES, schemaName: getSchemaName(this.#schema) })} SET ${setClauses.join(', ')} WHERE id = $${paramIndex}`;\n queries.push(t.none(sql, values));\n }\n }\n\n if (threadIdsToUpdate.size > 0) {\n const threadIds = Array.from(threadIdsToUpdate);\n queries.push(\n t.none(\n `UPDATE ${getTableName({ indexName: TABLE_THREADS, schemaName: getSchemaName(this.#schema) })} SET \"updatedAt\" = NOW(), \"updatedAtZ\" = NOW() WHERE id IN (${inPlaceholders(threadIds.length)})`,\n threadIds,\n ),\n );\n }\n\n if (queries.length > 0) {\n await t.batch(queries);\n }\n });\n\n const updatedMessages = await this.#db.client.manyOrNone(selectQuery, messageIds);\n\n return (updatedMessages || []).map((row: MessageRowFromDB) => {\n const message = this.normalizeMessageRow(row);\n if (typeof message.content === 'string') {\n try {\n return { ...message, content: JSON.parse(message.content) } as MastraDBMessage;\n } catch {\n /* ignore */\n }\n }\n return message as MastraDBMessage;\n });\n }\n\n async deleteMessages(messageIds: string[]): Promise {\n if (!messageIds || messageIds.length === 0) {\n return;\n }\n\n try {\n const messageTableName = getTableName({ indexName: TABLE_MESSAGES, schemaName: getSchemaName(this.#schema) });\n const threadTableName = getTableName({ indexName: TABLE_THREADS, schemaName: getSchemaName(this.#schema) });\n\n await this.#db.client.tx(async t => {\n const placeholders = messageIds.map((_, idx) => `$${idx + 1}`).join(',');\n const messages = await t.manyOrNone(\n `SELECT DISTINCT thread_id FROM ${messageTableName} WHERE id IN (${placeholders})`,\n messageIds,\n );\n\n const threadIds = messages?.map(msg => msg.thread_id).filter(Boolean) || [];\n\n await t.none(`DELETE FROM ${messageTableName} WHERE id IN (${placeholders})`, messageIds);\n\n if (threadIds.length > 0) {\n await t.none(\n `UPDATE ${threadTableName} SET \"updatedAt\" = NOW(), \"updatedAtZ\" = NOW() WHERE id IN (${inPlaceholders(threadIds.length)})`,\n threadIds,\n );\n }\n });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_MESSAGES', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { messageIds: messageIds.join(', ') },\n },\n error,\n );\n }\n }\n\n async getResourceById({ resourceId }: { resourceId: string }): Promise {\n return this.#getResourceById(this.#db.readClient, resourceId);\n }\n\n async #getResourceById(client: DbClient, resourceId: string): Promise {\n const tableName = getTableName({ indexName: TABLE_RESOURCES, schemaName: getSchemaName(this.#schema) });\n const result = await client.oneOrNone(\n `SELECT * FROM ${tableName} WHERE id = $1`,\n [resourceId],\n );\n\n if (!result) {\n return null;\n }\n\n return {\n id: result.id,\n createdAt: result.createdAtZ || result.createdAt,\n updatedAt: result.updatedAtZ || result.updatedAt,\n workingMemory: result.workingMemory,\n metadata: typeof result.metadata === 'string' ? JSON.parse(result.metadata) : result.metadata,\n };\n }\n\n async saveResource({ resource }: { resource: StorageResourceType }): Promise {\n const createdAt = toUtcISOString(resource.createdAt);\n const updatedAt = toUtcISOString(resource.updatedAt);\n await this.#db.insert({\n tableName: TABLE_RESOURCES,\n record: {\n ...resource,\n metadata: JSON.stringify(resource.metadata),\n createdAt,\n updatedAt,\n },\n });\n\n return resource;\n }\n\n async updateResource({\n resourceId,\n workingMemory,\n metadata,\n }: {\n resourceId: string;\n workingMemory?: string;\n metadata?: Record;\n }): Promise {\n const existingResource = await this.#getResourceById(this.#db.client, resourceId);\n\n if (!existingResource) {\n const newResource: StorageResourceType = {\n id: resourceId,\n workingMemory,\n metadata: metadata || {},\n createdAt: new Date(),\n updatedAt: new Date(),\n };\n return this.saveResource({ resource: newResource });\n }\n\n const updatedResource = {\n ...existingResource,\n workingMemory: workingMemory !== undefined ? workingMemory : existingResource.workingMemory,\n metadata: {\n ...existingResource.metadata,\n ...metadata,\n },\n updatedAt: new Date(),\n };\n\n const tableName = getTableName({ indexName: TABLE_RESOURCES, schemaName: getSchemaName(this.#schema) });\n\n const updates: string[] = [];\n const values: any[] = [];\n let paramIndex = 1;\n\n if (workingMemory !== undefined) {\n updates.push(`\"workingMemory\" = $${paramIndex}`);\n values.push(workingMemory);\n paramIndex++;\n }\n\n if (metadata) {\n updates.push(`metadata = $${paramIndex}`);\n values.push(JSON.stringify(updatedResource.metadata));\n paramIndex++;\n }\n\n const updatedAtStr = updatedResource.updatedAt.toISOString();\n updates.push(`\"updatedAt\" = $${paramIndex++}`);\n values.push(updatedAtStr);\n updates.push(`\"updatedAtZ\" = $${paramIndex++}`);\n values.push(updatedAtStr);\n\n values.push(resourceId);\n\n await this.#db.client.none(`UPDATE ${tableName} SET ${updates.join(', ')} WHERE id = $${paramIndex}`, values);\n\n return updatedResource;\n }\n\n async copyThread(args: StorageCloneThreadInput): Promise {\n const { sourceThreadId, newThreadId: providedThreadId, resourceId, title, metadata, options } = args;\n\n // Get the source thread\n const sourceThread = await this.#getThreadById(this.#db.client, { threadId: sourceThreadId });\n if (!sourceThread) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'CLONE_THREAD', 'SOURCE_NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: `Source thread with id ${sourceThreadId} not found`,\n details: { sourceThreadId },\n });\n }\n\n // Use provided ID or generate a new one\n const newThreadId = providedThreadId || crypto.randomUUID();\n\n // Check if the new thread ID already exists\n const existingThread = await this.#getThreadById(this.#db.client, { threadId: newThreadId });\n if (existingThread) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'CLONE_THREAD', 'THREAD_EXISTS'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: `Thread with id ${newThreadId} already exists`,\n details: { newThreadId },\n });\n }\n\n const threadTableName = getTableName({ indexName: TABLE_THREADS, schemaName: getSchemaName(this.#schema) });\n const messageTableName = getTableName({ indexName: TABLE_MESSAGES, schemaName: getSchemaName(this.#schema) });\n\n try {\n return await this.#db.client.tx(async t => {\n // Build message query with filters. Only ids (and createdAt for ordering / clone\n // metadata) are read here — content is copied inside the database via\n // INSERT … SELECT and never returned to the JS heap.\n let messageQuery = `SELECT id, \"createdAt\"\n FROM ${messageTableName} WHERE thread_id = $1`;\n const messageParams: any[] = [sourceThreadId];\n let paramIndex = 2;\n\n // Apply date filters\n if (options?.messageFilter?.startDate) {\n messageQuery += ` AND COALESCE(\"createdAtZ\", \"createdAt\") >= $${paramIndex++}`;\n messageParams.push(options.messageFilter.startDate);\n }\n if (options?.messageFilter?.endDate) {\n messageQuery += ` AND COALESCE(\"createdAtZ\", \"createdAt\") <= $${paramIndex++}`;\n messageParams.push(options.messageFilter.endDate);\n }\n\n // Apply message ID filter\n if (options?.messageFilter?.messageIds && options.messageFilter.messageIds.length > 0) {\n messageQuery += ` AND id IN (${options.messageFilter.messageIds.map(() => `$${paramIndex++}`).join(', ')})`;\n messageParams.push(...options.messageFilter.messageIds);\n }\n\n messageQuery += ` ORDER BY \"createdAt\" ASC`;\n\n // Apply message limit (from most recent, so we need to reverse order for limit then sort back)\n if (options?.messageLimit && options.messageLimit > 0) {\n // Get messages ordered DESC to get most recent, limited, then we'll reverse\n const limitQuery = `SELECT * FROM (${messageQuery.replace('ORDER BY \"createdAt\" ASC', 'ORDER BY \"createdAt\" DESC')} LIMIT $${paramIndex}) AS limited ORDER BY \"createdAt\" ASC`;\n messageParams.push(options.messageLimit);\n messageQuery = limitQuery;\n }\n\n const sourceMessages = await t.manyOrNone>(\n messageQuery,\n messageParams,\n );\n\n const now = new Date();\n const nowStr = toUtcISOString(now);\n\n // Determine the last message ID for clone metadata\n const lastMessageId = sourceMessages.length > 0 ? sourceMessages[sourceMessages.length - 1]!.id : undefined;\n\n // Create clone metadata\n const cloneMetadata: ThreadCloneMetadata = {\n sourceThreadId,\n clonedAt: now,\n ...(lastMessageId && { lastMessageId }),\n };\n\n // Create the new thread\n const newThread: StorageThreadType = {\n id: newThreadId,\n resourceId: resourceId || sourceThread.resourceId,\n title: title || (sourceThread.title ? `Clone of ${sourceThread.title}` : ''),\n metadata: {\n ...metadata,\n clone: cloneMetadata,\n },\n createdAt: now,\n updatedAt: now,\n };\n\n // Insert the new thread\n await t.none(\n `INSERT INTO ${threadTableName} (\n id,\n \"resourceId\",\n title,\n metadata,\n \"createdAt\",\n \"createdAtZ\",\n \"updatedAt\",\n \"updatedAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8)`,\n [\n newThread.id,\n newThread.resourceId,\n newThread.title,\n newThread.metadata ? JSON.stringify(newThread.metadata) : null,\n nowStr,\n nowStr,\n nowStr,\n nowStr,\n ],\n );\n\n // Copy messages under new IDs. content/role/type are read from the source row\n // within SQL and never materialized in the JS heap.\n const messageIdMap: Record = {};\n const targetResourceId = resourceId || sourceThread.resourceId;\n\n for (const sourceMsg of sourceMessages) {\n const newMessageId = crypto.randomUUID();\n messageIdMap[sourceMsg.id] = newMessageId;\n\n const insertResult = await t.query(\n `INSERT INTO ${messageTableName} (id, thread_id, content, \"createdAt\", \"createdAtZ\", role, type, \"resourceId\")\n SELECT $1, $2, content, \"createdAt\", \"createdAtZ\", role, type, $3\n FROM ${messageTableName} WHERE id = $4`,\n [newMessageId, newThreadId, targetResourceId, sourceMsg.id],\n );\n if (insertResult.rowCount !== 1) {\n throw new Error(\n `Failed to copy message ${sourceMsg.id}: expected 1 row copied but got ${insertResult.rowCount}`,\n );\n }\n }\n\n return { thread: newThread, messageIdMap };\n });\n } catch (error) {\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CLONE_THREAD', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { sourceThreadId, newThreadId },\n },\n error,\n );\n }\n }\n\n // ============================================\n // Observational Memory Methods\n // ============================================\n\n private getOMKey(threadId: string | null, resourceId: string): string {\n return threadId ? `thread:${threadId}` : `resource:${resourceId}`;\n }\n\n private parseOMRow(row: any): ObservationalMemoryRecord {\n // OM is a new table - use timezone-aware columns (*Z) directly (no legacy fallback needed)\n return {\n id: row.id,\n scope: row.scope,\n threadId: row.threadId || null,\n resourceId: row.resourceId,\n createdAt: new Date(row.createdAtZ),\n updatedAt: new Date(row.updatedAtZ),\n lastObservedAt: row.lastObservedAtZ ? new Date(row.lastObservedAtZ) : undefined,\n originType: row.originType || 'initial',\n generationCount: Number(row.generationCount || 0),\n activeObservations: row.activeObservations || '',\n // Handle new chunk-based structure\n bufferedObservationChunks: row.bufferedObservationChunks\n ? typeof row.bufferedObservationChunks === 'string'\n ? JSON.parse(row.bufferedObservationChunks)\n : row.bufferedObservationChunks\n : undefined,\n // Deprecated fields (for backward compatibility)\n bufferedObservations: row.activeObservationsPendingUpdate || undefined,\n bufferedObservationTokens: row.bufferedObservationTokens ? Number(row.bufferedObservationTokens) : undefined,\n bufferedMessageIds: undefined, // Use bufferedObservationChunks instead\n bufferedReflection: row.bufferedReflection || undefined,\n bufferedReflectionTokens: row.bufferedReflectionTokens ? Number(row.bufferedReflectionTokens) : undefined,\n bufferedReflectionInputTokens: row.bufferedReflectionInputTokens\n ? Number(row.bufferedReflectionInputTokens)\n : undefined,\n reflectedObservationLineCount: row.reflectedObservationLineCount\n ? Number(row.reflectedObservationLineCount)\n : undefined,\n totalTokensObserved: Number(row.totalTokensObserved || 0),\n observationTokenCount: Number(row.observationTokenCount || 0),\n pendingMessageTokens: Number(row.pendingMessageTokens || 0),\n isReflecting: Boolean(row.isReflecting),\n isObserving: Boolean(row.isObserving),\n isBufferingObservation: row.isBufferingObservation === true || row.isBufferingObservation === 'true',\n isBufferingReflection: row.isBufferingReflection === true || row.isBufferingReflection === 'true',\n lastBufferedAtTokens:\n typeof row.lastBufferedAtTokens === 'number'\n ? row.lastBufferedAtTokens\n : parseInt(String(row.lastBufferedAtTokens ?? '0'), 10) || 0,\n lastBufferedAtTime: row.lastBufferedAtTime ? new Date(String(row.lastBufferedAtTime)) : null,\n config: row.config ? (typeof row.config === 'string' ? JSON.parse(row.config) : row.config) : {},\n metadata: row.metadata ? (typeof row.metadata === 'string' ? JSON.parse(row.metadata) : row.metadata) : undefined,\n observedMessageIds: row.observedMessageIds\n ? typeof row.observedMessageIds === 'string'\n ? JSON.parse(row.observedMessageIds)\n : row.observedMessageIds\n : undefined,\n observedTimezone: row.observedTimezone || undefined,\n };\n }\n\n async getObservationalMemory(threadId: string | null, resourceId: string): Promise {\n try {\n const lookupKey = this.getOMKey(threadId, resourceId);\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"lookupKey\" = $1 ORDER BY \"generationCount\" DESC LIMIT 1`,\n [lookupKey],\n );\n if (!result) return null;\n return this.parseOMRow(result);\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_OBSERVATIONAL_MEMORY', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { threadId, resourceId },\n },\n error,\n );\n }\n }\n\n async getObservationalMemoryHistory(\n threadId: string | null,\n resourceId: string,\n limit: number = 10,\n options?: ObservationalMemoryHistoryOptions,\n ): Promise {\n try {\n const lookupKey = this.getOMKey(threadId, resourceId);\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n\n const conditions = [`\"lookupKey\" = $1`];\n const params: unknown[] = [lookupKey];\n let paramIndex = 2;\n\n if (options?.from) {\n conditions.push(`\"createdAtZ\" >= $${paramIndex}`);\n params.push(options.from.toISOString());\n paramIndex++;\n }\n if (options?.to) {\n conditions.push(`\"createdAtZ\" <= $${paramIndex}`);\n params.push(options.to.toISOString());\n paramIndex++;\n }\n\n params.push(limit);\n let sql = `SELECT * FROM ${tableName} WHERE ${conditions.join(' AND ')} ORDER BY \"generationCount\" DESC LIMIT $${paramIndex}`;\n paramIndex++;\n\n if (options?.offset != null) {\n params.push(options.offset);\n sql += ` OFFSET $${paramIndex}`;\n }\n\n const result = await this.#db.readClient.manyOrNone(sql, params);\n if (!result) return [];\n return result.map(row => this.parseOMRow(row));\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_OBSERVATIONAL_MEMORY_HISTORY', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { threadId, resourceId, limit },\n },\n error,\n );\n }\n }\n\n async initializeObservationalMemory(input: CreateObservationalMemoryInput): Promise {\n try {\n const id = crypto.randomUUID();\n const now = new Date();\n const lookupKey = this.getOMKey(input.threadId, input.resourceId);\n\n const record: ObservationalMemoryRecord = {\n id,\n scope: input.scope,\n threadId: input.threadId,\n resourceId: input.resourceId,\n createdAt: now,\n updatedAt: now,\n lastObservedAt: undefined,\n originType: 'initial',\n generationCount: 0,\n activeObservations: '',\n totalTokensObserved: 0,\n observationTokenCount: 0,\n pendingMessageTokens: 0,\n isReflecting: false,\n isObserving: false,\n isBufferingObservation: false,\n isBufferingReflection: false,\n lastBufferedAtTokens: 0,\n lastBufferedAtTime: null,\n config: input.config,\n observedTimezone: input.observedTimezone,\n };\n\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n const nowStr = now.toISOString();\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, \"lookupKey\", scope, \"resourceId\", \"threadId\",\n \"activeObservations\", \"activeObservationsPendingUpdate\",\n \"originType\", config, \"generationCount\", \"lastObservedAt\", \"lastObservedAtZ\", \"lastReflectionAt\", \"lastReflectionAtZ\",\n \"pendingMessageTokens\", \"totalTokensObserved\", \"observationTokenCount\",\n \"isObserving\", \"isReflecting\", \"isBufferingObservation\", \"isBufferingReflection\", \"lastBufferedAtTokens\", \"lastBufferedAtTime\",\n \"observedTimezone\", \"createdAt\", \"createdAtZ\", \"updatedAt\", \"updatedAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28)`,\n [\n id,\n lookupKey,\n input.scope,\n input.resourceId,\n input.threadId || null,\n '',\n null,\n 'initial',\n JSON.stringify(input.config),\n 0,\n null, // lastObservedAt\n null, // lastObservedAtZ\n null, // lastReflectionAt\n null, // lastReflectionAtZ\n 0,\n 0,\n 0,\n false,\n false,\n false, // isBufferingObservation\n false, // isBufferingReflection\n 0, // lastBufferedAtTokens\n null, // lastBufferedAtTime\n input.observedTimezone || null,\n nowStr, // createdAt\n nowStr, // createdAtZ\n nowStr, // updatedAt\n nowStr, // updatedAtZ\n ],\n );\n\n return record;\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'INITIALIZE_OBSERVATIONAL_MEMORY', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { threadId: input.threadId, resourceId: input.resourceId },\n },\n error,\n );\n }\n }\n\n async insertObservationalMemoryRecord(record: ObservationalMemoryRecord): Promise {\n try {\n const lookupKey = this.getOMKey(record.threadId, record.resourceId);\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n const lastObservedAtStr = record.lastObservedAt ? record.lastObservedAt.toISOString() : null;\n const lastBufferedAtTimeStr = record.lastBufferedAtTime ? record.lastBufferedAtTime.toISOString() : null;\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, \"lookupKey\", scope, \"resourceId\", \"threadId\",\n \"activeObservations\", \"activeObservationsPendingUpdate\",\n \"originType\", config, \"generationCount\", \"lastObservedAt\", \"lastObservedAtZ\", \"lastReflectionAt\", \"lastReflectionAtZ\",\n \"pendingMessageTokens\", \"totalTokensObserved\", \"observationTokenCount\",\n \"observedMessageIds\", \"bufferedObservationChunks\",\n \"bufferedReflection\", \"bufferedReflectionTokens\", \"bufferedReflectionInputTokens\",\n \"reflectedObservationLineCount\",\n \"isObserving\", \"isReflecting\", \"isBufferingObservation\", \"isBufferingReflection\",\n \"lastBufferedAtTokens\", \"lastBufferedAtTime\",\n \"observedTimezone\", metadata, \"createdAt\", \"createdAtZ\", \"updatedAt\", \"updatedAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35)`,\n [\n record.id,\n lookupKey,\n record.scope,\n record.resourceId,\n record.threadId || null,\n record.activeObservations || '',\n null,\n record.originType || 'initial',\n record.config ? JSON.stringify(record.config) : null,\n record.generationCount || 0,\n lastObservedAtStr,\n lastObservedAtStr,\n null, // lastReflectionAt\n null, // lastReflectionAtZ\n record.pendingMessageTokens || 0,\n record.totalTokensObserved || 0,\n record.observationTokenCount || 0,\n record.observedMessageIds ? JSON.stringify(record.observedMessageIds) : null,\n record.bufferedObservationChunks ? JSON.stringify(record.bufferedObservationChunks) : null,\n record.bufferedReflection || null,\n record.bufferedReflectionTokens ?? null,\n record.bufferedReflectionInputTokens ?? null,\n record.reflectedObservationLineCount ?? null,\n record.isObserving || false,\n record.isReflecting || false,\n record.isBufferingObservation || false,\n record.isBufferingReflection || false,\n record.lastBufferedAtTokens || 0,\n lastBufferedAtTimeStr,\n record.observedTimezone || null,\n record.metadata ? JSON.stringify(record.metadata) : null,\n record.createdAt.toISOString(),\n record.createdAt.toISOString(),\n record.updatedAt.toISOString(),\n record.updatedAt.toISOString(),\n ],\n );\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'INSERT_OBSERVATIONAL_MEMORY_RECORD', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id: record.id, threadId: record.threadId, resourceId: record.resourceId },\n },\n error,\n );\n }\n }\n\n async updateActiveObservations(input: UpdateActiveObservationsInput): Promise {\n try {\n const now = new Date();\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n\n const lastObservedAtStr = input.lastObservedAt.toISOString();\n const nowStr = now.toISOString();\n const observedMessageIdsJson = input.observedMessageIds ? JSON.stringify(input.observedMessageIds) : null;\n const result = await this.#db.client.query(\n `UPDATE ${tableName} SET\n \"activeObservations\" = $1,\n \"lastObservedAt\" = $2,\n \"lastObservedAtZ\" = $3,\n \"pendingMessageTokens\" = 0,\n \"observationTokenCount\" = $4,\n \"totalTokensObserved\" = \"totalTokensObserved\" + $5,\n \"observedMessageIds\" = $6,\n \"updatedAt\" = $7,\n \"updatedAtZ\" = $8\n WHERE id = $9`,\n [\n input.observations,\n lastObservedAtStr,\n lastObservedAtStr,\n Math.round(input.tokenCount),\n Math.round(input.tokenCount),\n observedMessageIdsJson,\n nowStr,\n nowStr,\n input.id,\n ],\n );\n\n if (result.rowCount === 0) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_ACTIVE_OBSERVATIONS', 'NOT_FOUND'),\n text: `Observational memory record not found: ${input.id}`,\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id: input.id },\n });\n }\n } catch (error) {\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_ACTIVE_OBSERVATIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id: input.id },\n },\n error,\n );\n }\n }\n\n async createReflectionGeneration(input: CreateReflectionGenerationInput): Promise {\n try {\n const id = crypto.randomUUID();\n const now = new Date();\n const lookupKey = this.getOMKey(input.currentRecord.threadId, input.currentRecord.resourceId);\n\n const record: ObservationalMemoryRecord = {\n id,\n scope: input.currentRecord.scope,\n threadId: input.currentRecord.threadId,\n resourceId: input.currentRecord.resourceId,\n createdAt: now,\n updatedAt: now,\n lastObservedAt: input.currentRecord.lastObservedAt,\n originType: 'reflection',\n generationCount: input.currentRecord.generationCount + 1,\n activeObservations: input.reflection,\n totalTokensObserved: input.currentRecord.totalTokensObserved,\n observationTokenCount: input.tokenCount,\n pendingMessageTokens: 0,\n isReflecting: false,\n isObserving: false,\n isBufferingObservation: false,\n isBufferingReflection: false,\n lastBufferedAtTokens: 0,\n lastBufferedAtTime: null,\n config: input.currentRecord.config,\n metadata: input.currentRecord.metadata,\n observedTimezone: input.currentRecord.observedTimezone,\n };\n\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n const nowStr = now.toISOString();\n const lastObservedAtStr = record.lastObservedAt?.toISOString() || null;\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, \"lookupKey\", scope, \"resourceId\", \"threadId\",\n \"activeObservations\", \"activeObservationsPendingUpdate\",\n \"originType\", config, \"generationCount\", \"lastObservedAt\", \"lastObservedAtZ\", \"lastReflectionAt\", \"lastReflectionAtZ\",\n \"pendingMessageTokens\", \"totalTokensObserved\", \"observationTokenCount\",\n \"isObserving\", \"isReflecting\", \"isBufferingObservation\", \"isBufferingReflection\", \"lastBufferedAtTokens\", \"lastBufferedAtTime\",\n \"observedTimezone\", metadata, \"createdAt\", \"createdAtZ\", \"updatedAt\", \"updatedAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29)`,\n [\n id,\n lookupKey,\n record.scope,\n record.resourceId,\n record.threadId || null,\n input.reflection,\n null,\n 'reflection',\n JSON.stringify(record.config),\n input.currentRecord.generationCount + 1,\n lastObservedAtStr, // lastObservedAt\n lastObservedAtStr, // lastObservedAtZ\n nowStr, // lastReflectionAt\n nowStr, // lastReflectionAtZ\n record.pendingMessageTokens,\n Math.round(record.totalTokensObserved),\n Math.round(record.observationTokenCount),\n false, // isObserving\n false, // isReflecting\n false, // isBufferingObservation\n false, // isBufferingReflection\n 0, // lastBufferedAtTokens\n null, // lastBufferedAtTime\n record.observedTimezone || null,\n record.metadata ? JSON.stringify(record.metadata) : null,\n nowStr, // createdAt\n nowStr, // createdAtZ\n nowStr, // updatedAt\n nowStr, // updatedAtZ\n ],\n );\n\n return record;\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_REFLECTION_GENERATION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { currentRecordId: input.currentRecord.id },\n },\n error,\n );\n }\n }\n\n async setReflectingFlag(id: string, isReflecting: boolean): Promise {\n try {\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n const nowStr = new Date().toISOString();\n const result = await this.#db.client.query(\n `UPDATE ${tableName} SET \"isReflecting\" = $1, \"updatedAt\" = $2, \"updatedAtZ\" = $3 WHERE id = $4`,\n [isReflecting, nowStr, nowStr, id],\n );\n\n if (result.rowCount === 0) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'SET_REFLECTING_FLAG', 'NOT_FOUND'),\n text: `Observational memory record not found: ${id}`,\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id, isReflecting },\n });\n }\n } catch (error) {\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'SET_REFLECTING_FLAG', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id, isReflecting },\n },\n error,\n );\n }\n }\n\n async setObservingFlag(id: string, isObserving: boolean): Promise {\n try {\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n const nowStr = new Date().toISOString();\n const result = await this.#db.client.query(\n `UPDATE ${tableName} SET \"isObserving\" = $1, \"updatedAt\" = $2, \"updatedAtZ\" = $3 WHERE id = $4`,\n [isObserving, nowStr, nowStr, id],\n );\n\n if (result.rowCount === 0) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'SET_OBSERVING_FLAG', 'NOT_FOUND'),\n text: `Observational memory record not found: ${id}`,\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id, isObserving },\n });\n }\n } catch (error) {\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'SET_OBSERVING_FLAG', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id, isObserving },\n },\n error,\n );\n }\n }\n\n async setBufferingObservationFlag(id: string, isBuffering: boolean, lastBufferedAtTokens?: number): Promise {\n try {\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n const nowStr = new Date().toISOString();\n\n let query: string;\n let values: any[];\n\n if (lastBufferedAtTokens !== undefined) {\n query = `UPDATE ${tableName} SET \"isBufferingObservation\" = $1, \"lastBufferedAtTokens\" = $2, \"updatedAt\" = $3, \"updatedAtZ\" = $4 WHERE id = $5`;\n values = [isBuffering, Math.round(lastBufferedAtTokens), nowStr, nowStr, id];\n } else {\n query = `UPDATE ${tableName} SET \"isBufferingObservation\" = $1, \"updatedAt\" = $2, \"updatedAtZ\" = $3 WHERE id = $4`;\n values = [isBuffering, nowStr, nowStr, id];\n }\n\n const result = await this.#db.client.query(query, values);\n\n if (result.rowCount === 0) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'SET_BUFFERING_OBSERVATION_FLAG', 'NOT_FOUND'),\n text: `Observational memory record not found: ${id}`,\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id, isBuffering, lastBufferedAtTokens: lastBufferedAtTokens ?? null },\n });\n }\n } catch (error) {\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'SET_BUFFERING_OBSERVATION_FLAG', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id, isBuffering, lastBufferedAtTokens: lastBufferedAtTokens ?? null },\n },\n error,\n );\n }\n }\n\n async setBufferingReflectionFlag(id: string, isBuffering: boolean): Promise {\n try {\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n const nowStr = new Date().toISOString();\n const result = await this.#db.client.query(\n `UPDATE ${tableName} SET \"isBufferingReflection\" = $1, \"updatedAt\" = $2, \"updatedAtZ\" = $3 WHERE id = $4`,\n [isBuffering, nowStr, nowStr, id],\n );\n\n if (result.rowCount === 0) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'SET_BUFFERING_REFLECTION_FLAG', 'NOT_FOUND'),\n text: `Observational memory record not found: ${id}`,\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id, isBuffering },\n });\n }\n } catch (error) {\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'SET_BUFFERING_REFLECTION_FLAG', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id, isBuffering },\n },\n error,\n );\n }\n }\n\n async clearObservationalMemory(threadId: string | null, resourceId: string): Promise {\n try {\n const lookupKey = this.getOMKey(threadId, resourceId);\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE \"lookupKey\" = $1`, [lookupKey]);\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CLEAR_OBSERVATIONAL_MEMORY', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { threadId, resourceId },\n },\n error,\n );\n }\n }\n\n async setPendingMessageTokens(id: string, tokenCount: number): Promise {\n try {\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n const nowStr = new Date().toISOString();\n const result = await this.#db.client.query(\n `UPDATE ${tableName} SET \n \"pendingMessageTokens\" = $1, \n \"updatedAt\" = $2,\n \"updatedAtZ\" = $3\n WHERE id = $4`,\n [Math.round(tokenCount), nowStr, nowStr, id],\n );\n\n if (result.rowCount === 0) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'SET_PENDING_MESSAGE_TOKENS', 'NOT_FOUND'),\n text: `Observational memory record not found: ${id}`,\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id, tokenCount },\n });\n }\n } catch (error) {\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'SET_PENDING_MESSAGE_TOKENS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id, tokenCount },\n },\n error,\n );\n }\n }\n\n async updateObservationalMemoryConfig(input: UpdateObservationalMemoryConfigInput): Promise {\n try {\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n\n // Read current config\n const selectResult = await this.#db.client.query(`SELECT config FROM ${tableName} WHERE id = $1`, [input.id]);\n\n if (selectResult.rowCount === 0) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_OM_CONFIG', 'NOT_FOUND'),\n text: `Observational memory record not found: ${input.id}`,\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id: input.id },\n });\n }\n\n const row = selectResult.rows[0];\n const existing: Record = row.config\n ? typeof row.config === 'string'\n ? JSON.parse(row.config)\n : row.config\n : {};\n const merged = this.deepMergeConfig(existing, input.config);\n const nowStr = new Date().toISOString();\n\n await this.#db.client.query(\n `UPDATE ${tableName} SET config = $1, \"updatedAt\" = $2, \"updatedAtZ\" = $3 WHERE id = $4`,\n [JSON.stringify(merged), nowStr, nowStr, input.id],\n );\n } catch (error) {\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_OM_CONFIG', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id: input.id },\n },\n error,\n );\n }\n }\n\n // ============================================\n // Async Buffering Methods\n // ============================================\n\n async updateBufferedObservations(input: UpdateBufferedObservationsInput): Promise {\n try {\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n const nowStr = new Date().toISOString();\n\n // Create new chunk with ID and timestamp\n const newChunk: BufferedObservationChunk = {\n id: `ombuf-${randomUUID()}`,\n cycleId: input.chunk.cycleId,\n observations: input.chunk.observations,\n tokenCount: Math.round(input.chunk.tokenCount),\n messageIds: input.chunk.messageIds,\n messageTokens: Math.round(input.chunk.messageTokens ?? 0),\n lastObservedAt: input.chunk.lastObservedAt,\n createdAt: new Date(),\n suggestedContinuation: input.chunk.suggestedContinuation,\n currentTask: input.chunk.currentTask,\n threadTitle: input.chunk.threadTitle,\n extractedValues: input.chunk.extractedValues,\n extractionFailures: input.chunk.extractionFailures,\n };\n\n // Append the chunk only if this cycle has not already been persisted by a previous attempt.\n const lastBufferedAtTime = input.lastBufferedAtTime ? input.lastBufferedAtTime.toISOString() : null;\n const result = await this.#db.client.query(\n `UPDATE ${tableName} SET\n \"bufferedObservationChunks\" = CASE\n WHEN EXISTS (\n SELECT 1\n FROM jsonb_array_elements(COALESCE(\"bufferedObservationChunks\", '[]'::jsonb)) AS chunk\n WHERE chunk->>'cycleId' = $2\n ) THEN COALESCE(\"bufferedObservationChunks\", '[]'::jsonb)\n ELSE COALESCE(\"bufferedObservationChunks\", '[]'::jsonb) || $1::jsonb\n END,\n \"lastBufferedAtTime\" = COALESCE($3, \"lastBufferedAtTime\"),\n \"updatedAt\" = $4,\n \"updatedAtZ\" = $5\n WHERE id = $6`,\n [JSON.stringify([newChunk]), input.chunk.cycleId, lastBufferedAtTime, nowStr, nowStr, input.id],\n );\n\n if (result.rowCount === 0) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_BUFFERED_OBSERVATIONS', 'NOT_FOUND'),\n text: `Observational memory record not found: ${input.id}`,\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id: input.id },\n });\n }\n } catch (error) {\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_BUFFERED_OBSERVATIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id: input.id },\n },\n error,\n );\n }\n }\n\n async swapBufferedToActive(input: SwapBufferedToActiveInput): Promise {\n try {\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n const nowStr = new Date().toISOString();\n\n // Get current record\n const record = await this.#db.client.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [input.id]);\n if (!record) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'SWAP_BUFFERED_TO_ACTIVE', 'NOT_FOUND'),\n text: `Observational memory record not found: ${input.id}`,\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id: input.id },\n });\n }\n\n // Parse buffered chunks\n let chunks: BufferedObservationChunk[] = [];\n if (record.bufferedObservationChunks) {\n try {\n const parsed =\n typeof record.bufferedObservationChunks === 'string'\n ? JSON.parse(record.bufferedObservationChunks)\n : record.bufferedObservationChunks;\n chunks = Array.isArray(parsed) ? parsed : [];\n } catch {\n chunks = [];\n }\n }\n\n if (chunks.length === 0) {\n return {\n chunksActivated: 0,\n messageTokensActivated: 0,\n observationTokensActivated: 0,\n messagesActivated: 0,\n activatedCycleIds: [],\n activatedMessageIds: [],\n };\n }\n\n // Calculate target message tokens to activate based on new formula:\n // retentionFloor = threshold * (1 - ratio) represents tokens to keep as raw messages\n // targetMessageTokens = max(0, currentPending - retentionFloor) represents tokens to activate\n const retentionFloor = input.messageTokensThreshold * (1 - input.activationRatio);\n const targetMessageTokens = Math.max(0, input.currentPendingTokens - retentionFloor);\n\n // Find the closest chunk boundary to the target, biased over (prefer removing\n // slightly more than the target so remaining context lands at or below retentionFloor).\n // Track both best-over and best-under boundaries so we can fall back to under\n // if the over boundary would overshoot by too much.\n let cumulativeMessageTokens = 0;\n let chunksToActivate = 0;\n let bestOverBoundary = 0;\n let bestOverTokens = 0;\n let bestUnderBoundary = 0;\n let bestUnderTokens = 0;\n\n for (let i = 0; i < chunks.length; i++) {\n cumulativeMessageTokens += chunks[i]!.messageTokens ?? 0;\n const boundary = i + 1;\n\n if (cumulativeMessageTokens >= targetMessageTokens) {\n // Over or equal — track the closest (lowest) over boundary\n if (bestOverBoundary === 0 || cumulativeMessageTokens < bestOverTokens) {\n bestOverBoundary = boundary;\n bestOverTokens = cumulativeMessageTokens;\n }\n } else {\n // Under — track the closest (highest) under boundary\n if (cumulativeMessageTokens > bestUnderTokens) {\n bestUnderBoundary = boundary;\n bestUnderTokens = cumulativeMessageTokens;\n }\n }\n }\n\n // Safeguard: if the over boundary would eat into more than 95% of the\n // retention floor, fall back to the best under boundary instead.\n // This prevents edge cases where a large chunk overshoots dramatically.\n // When forceMaxActivation is set (above blockAfter), still prefer the over\n // boundary, but never if it would leave fewer than the smaller of 1000\n // tokens or the retention floor remaining.\n const maxOvershoot = retentionFloor * 0.95;\n const overshoot = bestOverTokens - targetMessageTokens;\n const remainingAfterOver = input.currentPendingTokens - bestOverTokens;\n const remainingAfterUnder = input.currentPendingTokens - bestUnderTokens;\n // When activationRatio ≈ 1.0, retentionFloor is 0 and minRemaining becomes 0 — intentional for \"activate everything\" configs.\n const minRemaining = Math.min(1000, retentionFloor);\n\n if (input.forceMaxActivation && bestOverBoundary > 0 && remainingAfterOver >= minRemaining) {\n chunksToActivate = bestOverBoundary;\n } else if (bestOverBoundary > 0 && overshoot <= maxOvershoot && remainingAfterOver >= minRemaining) {\n chunksToActivate = bestOverBoundary;\n } else if (bestUnderBoundary > 0 && remainingAfterUnder >= minRemaining) {\n chunksToActivate = bestUnderBoundary;\n } else if (bestOverBoundary > 0) {\n // All boundaries are over and exceed the safeguard — still activate\n // the closest over boundary (better than nothing)\n chunksToActivate = bestOverBoundary;\n } else {\n chunksToActivate = 1;\n }\n\n // Split chunks\n const activatedChunks = chunks.slice(0, chunksToActivate);\n const remainingChunks = chunks.slice(chunksToActivate);\n\n // Combine activated observations\n const activatedContent = activatedChunks.map(c => c.observations).join('\\n\\n');\n const activatedTokens = Math.round(activatedChunks.reduce((sum, c) => sum + c.tokenCount, 0));\n const activatedMessageTokens = Math.round(activatedChunks.reduce((sum, c) => sum + (c.messageTokens ?? 0), 0));\n const activatedMessageCount = activatedChunks.reduce((sum, c) => sum + c.messageIds.length, 0);\n const activatedCycleIds = activatedChunks.map(c => c.cycleId).filter((id): id is string => !!id);\n const activatedMessageIds = activatedChunks.flatMap(c => c.messageIds ?? []);\n\n // Derive lastObservedAt from the latest activated chunk, or use provided value\n const latestChunk = activatedChunks[activatedChunks.length - 1];\n const lastObservedAt =\n input.lastObservedAt ?? (latestChunk?.lastObservedAt ? new Date(latestChunk.lastObservedAt) : new Date());\n const lastObservedAtStr = lastObservedAt.toISOString();\n\n // NOTE: We intentionally do NOT add message IDs to observedMessageIds during buffered activation.\n // Buffered chunks represent observations of messages as they were at buffering time.\n // With streaming, messages grow after buffering, so we rely on lastObservedAt for filtering.\n // New content after lastObservedAt will be picked up in subsequent observations.\n\n // Atomic conditional update — the WHERE clause ensures chunks haven't already\n // been swapped by a concurrent run. If another run cleared the chunks first,\n // this UPDATE matches 0 rows and we return early with chunksActivated: 0.\n // Include message boundary delimiter for cache stability.\n const boundary = `\\n\\n--- message boundary (${lastObservedAt.toISOString()}) ---\\n\\n`;\n const updateResult = await this.#db.client.query(\n `UPDATE ${tableName} SET\n \"activeObservations\" = CASE\n WHEN \"activeObservations\" IS NOT NULL AND \"activeObservations\" != ''\n THEN \"activeObservations\" || $10 || $1\n ELSE $1\n END,\n \"observationTokenCount\" = COALESCE(\"observationTokenCount\", 0) + $2,\n \"pendingMessageTokens\" = GREATEST(0, COALESCE(\"pendingMessageTokens\", 0) - $3),\n \"bufferedObservationChunks\" = $4,\n \"lastObservedAt\" = $5,\n \"lastObservedAtZ\" = $6,\n \"updatedAt\" = $7,\n \"updatedAtZ\" = $8\n WHERE id = $9\n AND \"bufferedObservationChunks\" IS NOT NULL\n AND \"bufferedObservationChunks\"::text != '[]'`,\n [\n activatedContent,\n activatedTokens,\n activatedMessageTokens,\n remainingChunks.length > 0 ? JSON.stringify(remainingChunks) : null,\n lastObservedAtStr,\n lastObservedAtStr,\n nowStr,\n nowStr,\n input.id,\n boundary,\n ],\n );\n\n if (updateResult.rowCount === 0) {\n return {\n chunksActivated: 0,\n messageTokensActivated: 0,\n observationTokensActivated: 0,\n messagesActivated: 0,\n activatedCycleIds: [],\n activatedMessageIds: [],\n };\n }\n\n // Use hints from the most recent activated chunk only — stale hints from older chunks are discarded\n const latestChunkHints = activatedChunks[activatedChunks.length - 1];\n\n return {\n chunksActivated: activatedChunks.length,\n messageTokensActivated: activatedMessageTokens,\n observationTokensActivated: activatedTokens,\n messagesActivated: activatedMessageCount,\n activatedCycleIds,\n activatedMessageIds,\n observations: activatedContent,\n perChunk: activatedChunks.map(c => ({\n cycleId: c.cycleId ?? '',\n messageTokens: c.messageTokens ?? 0,\n observationTokens: c.tokenCount,\n messageCount: c.messageIds.length,\n observations: c.observations,\n })),\n suggestedContinuation: latestChunkHints?.suggestedContinuation ?? undefined,\n currentTask: latestChunkHints?.currentTask ?? undefined,\n };\n } catch (error) {\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'SWAP_BUFFERED_TO_ACTIVE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id: input.id },\n },\n error,\n );\n }\n }\n\n async updateBufferedReflection(input: UpdateBufferedReflectionInput): Promise {\n try {\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n const nowStr = new Date().toISOString();\n\n // Append reflection to existing buffered content\n const result = await this.#db.client.query(\n `UPDATE ${tableName} SET\n \"bufferedReflection\" = CASE \n WHEN \"bufferedReflection\" IS NOT NULL AND \"bufferedReflection\" != '' \n THEN \"bufferedReflection\" || E'\\\\n\\\\n' || $1\n ELSE $1\n END,\n \"bufferedReflectionTokens\" = COALESCE(\"bufferedReflectionTokens\", 0) + $2,\n \"bufferedReflectionInputTokens\" = COALESCE(\"bufferedReflectionInputTokens\", 0) + $3,\n \"reflectedObservationLineCount\" = $4,\n \"updatedAt\" = $5,\n \"updatedAtZ\" = $6\n WHERE id = $7`,\n [\n input.reflection,\n Math.round(input.tokenCount),\n Math.round(input.inputTokenCount),\n input.reflectedObservationLineCount,\n nowStr,\n nowStr,\n input.id,\n ],\n );\n\n if (result.rowCount === 0) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_BUFFERED_REFLECTION', 'NOT_FOUND'),\n text: `Observational memory record not found: ${input.id}`,\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id: input.id },\n });\n }\n } catch (error) {\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_BUFFERED_REFLECTION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id: input.id },\n },\n error,\n );\n }\n }\n\n async swapBufferedReflectionToActive(input: SwapBufferedReflectionToActiveInput): Promise {\n try {\n const tableName = getTableName({\n indexName: OM_TABLE,\n schemaName: getSchemaName(this.#schema),\n });\n\n // Get current record to calculate split\n const record = await this.#db.client.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [\n input.currentRecord.id,\n ]);\n if (!record) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'SWAP_BUFFERED_REFLECTION_TO_ACTIVE', 'NOT_FOUND'),\n text: `Observational memory record not found: ${input.currentRecord.id}`,\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id: input.currentRecord.id },\n });\n }\n\n const bufferedReflection = record.bufferedReflection || '';\n const reflectedLineCount = Number(record.reflectedObservationLineCount || 0);\n\n if (!bufferedReflection) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'SWAP_BUFFERED_REFLECTION_TO_ACTIVE', 'NO_CONTENT'),\n text: 'No buffered reflection to swap',\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { id: input.currentRecord.id },\n });\n }\n\n // Split current activeObservations by the recorded boundary.\n // Lines 0..reflectedLineCount were reflected on → replaced by bufferedReflection.\n // Lines after reflectedLineCount were added after reflection started → kept as-is.\n const currentObservations = (record.activeObservations as string) || '';\n const allLines = currentObservations.split('\\n');\n const unreflectedLines = allLines.slice(reflectedLineCount);\n const unreflectedContent = unreflectedLines.join('\\n').trim();\n\n // New activeObservations = bufferedReflection + unreflected observations\n const newObservations = unreflectedContent\n ? `${bufferedReflection}\\n\\n${unreflectedContent}`\n : bufferedReflection;\n\n // Create new generation with the merged content.\n // tokenCount is computed by the processor using its token counter on the combined content.\n const newRecord = await this.createReflectionGeneration({\n currentRecord: input.currentRecord,\n reflection: newObservations,\n tokenCount: input.tokenCount,\n });\n\n // Clear buffered state on old record\n const nowStr = new Date().toISOString();\n await this.#db.client.query(\n `UPDATE ${tableName} SET\n \"bufferedReflection\" = NULL,\n \"bufferedReflectionTokens\" = NULL,\n \"bufferedReflectionInputTokens\" = NULL,\n \"reflectedObservationLineCount\" = NULL,\n \"updatedAt\" = $1,\n \"updatedAtZ\" = $2\n WHERE id = $3`,\n [nowStr, nowStr, input.currentRecord.id],\n );\n\n return newRecord;\n } catch (error) {\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'SWAP_BUFFERED_REFLECTION_TO_ACTIVE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { id: input.currentRecord.id },\n },\n error,\n );\n }\n }\n}\n","import { randomUUID } from 'node:crypto';\n\nimport { NotificationsStorage, TABLE_NOTIFICATIONS, TABLE_SCHEMAS } from '@mastra/core/storage';\nimport type {\n CreateIndexOptions,\n CreateNotificationInput,\n ListDueNotificationsInput,\n ListNotificationsInput,\n NotificationPriority,\n NotificationRecord,\n NotificationSignalAttributes,\n NotificationStatus,\n UpdateNotificationInput,\n TABLE_NAMES,\n PruneOptions,\n PruneResult,\n RetentionTablesDescriptor,\n TableRetentionPolicy,\n} from '@mastra/core/storage';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\n\nimport { PgDB, resolvePgConfig, generateTableSQL, generateIndexSQL } from '../../db';\nimport type { DbClient, PgDomainConfig } from '../../db';\nimport { runPrune, resolveTargets } from '../../retention';\nimport { getSchemaName, getTableName, parseJsonResilient } from '../utils';\n\nconst statusTimestamp = (status: NotificationStatus, now: Date) => {\n if (status === 'delivered') return { deliveredAt: now };\n if (status === 'seen') return { seenAt: now };\n if (status === 'dismissed') return { dismissedAt: now };\n if (status === 'archived') return { archivedAt: now };\n if (status === 'discarded') return { discardedAt: now };\n return {};\n};\n\nconst parseDate = (value: unknown): Date | undefined => {\n if (value == null) return undefined;\n return value instanceof Date ? value : new Date(String(value));\n};\n\nconst cloneValue = (value: T | undefined): T | undefined =>\n value === undefined ? undefined : structuredClone(value);\n\nfunction rowToNotification(row: Record): NotificationRecord {\n return {\n id: String(row.id),\n threadId: String(row.threadId),\n source: String(row.source),\n kind: String(row.kind),\n priority: String(row.priority) as NotificationPriority,\n status: String(row.status) as NotificationStatus,\n summary: String(row.summary),\n payload: parseJsonResilient(row.payload),\n resourceId: row.resourceId == null ? undefined : String(row.resourceId),\n agentId: row.agentId == null ? undefined : String(row.agentId),\n sourceId: row.sourceId == null ? undefined : String(row.sourceId),\n dedupeKey: row.dedupeKey == null ? undefined : String(row.dedupeKey),\n coalesceKey: row.coalesceKey == null ? undefined : String(row.coalesceKey),\n coalescedCount: Number(row.coalescedCount ?? 1),\n attributes: parseJsonResilient(row.attributes) as NotificationSignalAttributes | undefined,\n createdAt: parseDate(row.createdAt) ?? new Date(),\n updatedAt: parseDate(row.updatedAt) ?? new Date(),\n deliveredAt: parseDate(row.deliveredAt),\n seenAt: parseDate(row.seenAt),\n dismissedAt: parseDate(row.dismissedAt),\n archivedAt: parseDate(row.archivedAt),\n discardedAt: parseDate(row.discardedAt),\n deliverAt: parseDate(row.deliverAt),\n summaryAt: parseDate(row.summaryAt),\n deliveryReason: row.deliveryReason == null ? undefined : String(row.deliveryReason),\n deliveryAttempts: Number(row.deliveryAttempts ?? 0),\n lastDeliveryAttemptAt: parseDate(row.lastDeliveryAttemptAt),\n lastDeliveryError: row.lastDeliveryError == null ? undefined : String(row.lastDeliveryError),\n deliveredSignalId: row.deliveredSignalId == null ? undefined : String(row.deliveredSignalId),\n summarySignalId: row.summarySignalId == null ? undefined : String(row.summarySignalId),\n metadata: parseJsonResilient(row.metadata) as Record | undefined,\n };\n}\n\nfunction addArrayFilter(conditions: string[], args: unknown[], column: string, value?: T | T[]) {\n if (!value) return;\n const values = Array.isArray(value) ? value : [value];\n const start = args.length + 1;\n conditions.push(`\"${column}\" IN (${values.map((_, index) => `$${start + index}`).join(', ')})`);\n args.push(...values);\n}\n\nfunction normalizeRecordForInsert(record: NotificationRecord): Record {\n return {\n ...record,\n payload: record.payload ?? null,\n attributes: record.attributes ?? null,\n metadata: record.metadata ?? null,\n resourceId: record.resourceId ?? null,\n agentId: record.agentId ?? null,\n sourceId: record.sourceId ?? null,\n dedupeKey: record.dedupeKey ?? null,\n coalesceKey: record.coalesceKey ?? null,\n deliveredAt: record.deliveredAt ?? null,\n seenAt: record.seenAt ?? null,\n dismissedAt: record.dismissedAt ?? null,\n archivedAt: record.archivedAt ?? null,\n discardedAt: record.discardedAt ?? null,\n deliverAt: record.deliverAt ?? null,\n summaryAt: record.summaryAt ?? null,\n deliveryReason: record.deliveryReason ?? null,\n lastDeliveryAttemptAt: record.lastDeliveryAttemptAt ?? null,\n lastDeliveryError: record.lastDeliveryError ?? null,\n deliveredSignalId: record.deliveredSignalId ?? null,\n summarySignalId: record.summarySignalId ?? null,\n };\n}\n\nexport class NotificationsPG extends NotificationsStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n static readonly MANAGED_TABLES = [TABLE_NOTIFICATIONS] as const;\n\n /**\n * Notifications are an append-only event feed that grows unbounded. Single\n * table, anchored on the timezone-aware `createdAtZ` mirror column.\n */\n static override readonly retentionTables: RetentionTablesDescriptor = {\n notifications: { table: TABLE_NOTIFICATIONS, column: 'createdAtZ', indexed: true },\n };\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n this.#indexes = indexes?.filter(idx => (NotificationsPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n async init(): Promise {\n await this.#db.createTable({\n tableName: TABLE_NOTIFICATIONS,\n schema: TABLE_SCHEMAS[TABLE_NOTIFICATIONS],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n /**\n * Lazily ensures a btree index exists on each configured policy's retention\n * anchor column so age-based `prune()` deletes stay fast on large tables.\n * Called from the prune path (not init) so only deployments that configure\n * retention pay the index's write/disk overhead. Best-effort: failures are\n * logged and pruning proceeds (correct, just slower).\n * Created even with `skipDefaultIndexes` — retention is an explicit opt-in,\n * so its supporting index is not part of the default index set.\n */\n private async ensureRetentionIndexes(policies: Record): Promise {\n const prefix = this.#schema && this.#schema !== 'public' ? `${this.#schema}_` : '';\n for (const [key, entry] of Object.entries(NotificationsPG.retentionTables)) {\n if (!entry.indexed || !policies[key]) continue;\n try {\n await this.#db.ensureIndex({\n indexName: `${prefix}mastra_${key}_retention_idx`,\n tableName: entry.table as TABLE_NAMES,\n column: entry.column,\n });\n } catch (error) {\n this.logger?.warn?.(`Failed to create retention index for ${entry.table}:`, error);\n }\n }\n }\n\n /** Delete notifications older than the `notifications` policy's `maxAge`, batched. */\n async prune(policies: Record, options?: PruneOptions): Promise {\n await this.ensureRetentionIndexes(policies);\n const targets = resolveTargets({\n policies,\n descriptor: NotificationsPG.retentionTables,\n order: ['notifications'],\n });\n return runPrune({ db: this.#db, domain: 'notifications', targets, options });\n }\n\n static getDefaultIndexDefs(schemaPrefix: string): CreateIndexOptions[] {\n return [\n {\n name: `${schemaPrefix}idx_notifications_thread_status_updated`,\n table: TABLE_NOTIFICATIONS,\n columns: ['threadId', 'status', 'updatedAt'],\n },\n {\n name: `${schemaPrefix}idx_notifications_coalescing`,\n table: TABLE_NOTIFICATIONS,\n columns: ['threadId', 'source', 'kind', 'status', 'agentId', 'resourceId', 'dedupeKey', 'coalesceKey'],\n },\n {\n name: `${schemaPrefix}idx_notifications_due`,\n table: TABLE_NOTIFICATIONS,\n columns: ['status', 'deliverAt', 'summaryAt'],\n },\n ];\n }\n\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n const parsedSchema = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n const schemaPrefix = parsedSchema && parsedSchema !== 'public' ? `${parsedSchema}_` : '';\n\n statements.push(\n generateTableSQL({\n tableName: TABLE_NOTIFICATIONS,\n schema: TABLE_SCHEMAS[TABLE_NOTIFICATIONS],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n\n for (const idx of NotificationsPG.getDefaultIndexDefs(schemaPrefix)) {\n statements.push(generateIndexSQL(idx, schemaName));\n }\n\n return statements;\n }\n\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return NotificationsPG.getDefaultIndexDefs(schemaPrefix);\n }\n\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) return;\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create index ${indexDef.name}:`, error);\n }\n }\n }\n\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) return;\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_NOTIFICATIONS });\n }\n\n private async updateNotificationRow(threadId: string, id: string, data: Record): Promise {\n const entries = Object.entries(data).filter(([, value]) => value !== undefined);\n if (entries.length === 0) return;\n\n const schemaName = getSchemaName(this.#schema);\n const tableName = getTableName({ indexName: TABLE_NOTIFICATIONS, schemaName });\n const setColumns = entries.map(([key], index) => `\"${parseSqlIdentifier(key, 'column name')}\" = $${index + 1}`);\n const values = entries.map(([key, value]) => {\n const columnSchema = TABLE_SCHEMAS[TABLE_NOTIFICATIONS][key];\n if (columnSchema?.type === 'jsonb' && value !== null) return JSON.stringify(value);\n return value;\n });\n\n await this.#db.client.none(\n `UPDATE ${tableName} SET ${setColumns.join(', ')} WHERE \"threadId\" = $${values.length + 1} AND \"id\" = $${values.length + 2}`,\n [...values, threadId, id],\n );\n }\n\n async createNotification(input: CreateNotificationInput): Promise {\n const existing = await this.findCoalescable(input);\n if (existing) {\n const now = new Date();\n const attributes = input.attributes\n ? { ...cloneValue(existing.attributes), ...cloneValue(input.attributes) }\n : cloneValue(existing.attributes);\n const metadata = input.metadata\n ? { ...cloneValue(existing.metadata), ...cloneValue(input.metadata) }\n : cloneValue(existing.metadata);\n await this.updateNotificationRow(existing.threadId, existing.id, {\n summary: input.summary,\n payload: cloneValue(input.payload ?? existing.payload) ?? null,\n priority: input.priority ?? existing.priority,\n attributes: attributes ?? null,\n updatedAt: now,\n deliverAt: input.deliverAt ?? existing.deliverAt ?? null,\n summaryAt: input.summaryAt ?? existing.summaryAt ?? null,\n deliveryReason: input.deliveryReason ?? existing.deliveryReason ?? null,\n coalescedCount: (existing.coalescedCount ?? 1) + 1,\n metadata: metadata ?? null,\n });\n const updated = await this.#getNotification(this.#db.client, { threadId: existing.threadId, id: existing.id });\n if (!updated) throw new Error(`Notification ${existing.id} was not found for thread ${existing.threadId}`);\n return updated;\n }\n\n const now = input.createdAt ?? new Date();\n const record: NotificationRecord = {\n id: input.id ?? randomUUID(),\n threadId: input.threadId,\n source: input.source,\n kind: input.kind,\n priority: input.priority ?? 'medium',\n status: 'pending',\n summary: input.summary,\n payload: cloneValue(input.payload),\n resourceId: input.resourceId,\n agentId: input.agentId,\n sourceId: input.sourceId,\n dedupeKey: input.dedupeKey,\n coalesceKey: input.coalesceKey,\n coalescedCount: 1,\n attributes: cloneValue(input.attributes),\n createdAt: now,\n updatedAt: now,\n deliverAt: input.deliverAt,\n summaryAt: input.summaryAt,\n deliveryReason: input.deliveryReason,\n deliveryAttempts: 0,\n metadata: cloneValue(input.metadata),\n };\n\n await this.#db.insert({ tableName: TABLE_NOTIFICATIONS, record: normalizeRecordForInsert(record) });\n return record;\n }\n\n async listNotifications(input: ListNotificationsInput): Promise {\n const conditions = ['\"threadId\" = $1'];\n const args: unknown[] = [input.threadId];\n\n addArrayFilter(conditions, args, 'status', input.status);\n addArrayFilter(conditions, args, 'priority', input.priority);\n\n if (input.source) {\n args.push(input.source);\n conditions.push(`\"source\" = $${args.length}`);\n }\n if (input.resourceId) {\n args.push(input.resourceId);\n conditions.push(`\"resourceId\" = $${args.length}`);\n }\n if (input.agentId) {\n args.push(input.agentId);\n conditions.push(`\"agentId\" = $${args.length}`);\n }\n if (input.search) {\n const search = `%${input.search.toLowerCase()}%`;\n args.push(search, search);\n conditions.push(`(LOWER(\"summary\") LIKE $${args.length - 1} OR LOWER(\"kind\") LIKE $${args.length})`);\n }\n\n const limit = input.limit ? ` LIMIT $${args.length + 1}` : '';\n if (input.limit) args.push(input.limit);\n\n const schemaName = getSchemaName(this.#schema);\n const tableName = getTableName({ indexName: TABLE_NOTIFICATIONS, schemaName });\n const rows = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE ${conditions.join(' AND ')} ORDER BY \"updatedAt\" DESC${limit}`,\n args,\n );\n\n return rows.map(row => rowToNotification(row));\n }\n\n async listDueNotifications(input: ListDueNotificationsInput): Promise {\n const conditions = [\n '\"status\" = $1',\n '((\"deliverAt\" IS NOT NULL AND \"deliverAt\" <= $2) OR (\"summaryAt\" IS NOT NULL AND \"summaryAt\" <= $3))',\n ];\n const args: unknown[] = ['pending', input.now, input.now];\n\n if (input.agentId) {\n args.push(input.agentId);\n conditions.push(`\"agentId\" = $${args.length}`);\n }\n if (input.resourceId) {\n args.push(input.resourceId);\n conditions.push(`\"resourceId\" = $${args.length}`);\n }\n\n const limit = input.limit ? ` LIMIT $${args.length + 1}` : '';\n if (input.limit) args.push(input.limit);\n\n const schemaName = getSchemaName(this.#schema);\n const tableName = getTableName({ indexName: TABLE_NOTIFICATIONS, schemaName });\n const rows = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE ${conditions.join(' AND ')} ORDER BY CASE WHEN \"deliverAt\" IS NULL THEN \"summaryAt\" WHEN \"summaryAt\" IS NULL THEN \"deliverAt\" WHEN \"deliverAt\" <= \"summaryAt\" THEN \"deliverAt\" ELSE \"summaryAt\" END ASC, \"updatedAt\" ASC${limit}`,\n args,\n );\n\n return rows.map(row => rowToNotification(row));\n }\n\n async getNotification(input: { threadId: string; id: string }): Promise {\n return this.#getNotification(this.#db.readClient, input);\n }\n\n /**\n * Same lookup against an explicit client. Mutation paths pass the writer so a\n * lagging read replica cannot yield stale or missing rows mid-update.\n */\n async #getNotification(\n client: DbClient,\n input: { threadId: string; id: string },\n ): Promise {\n const schemaName = getSchemaName(this.#schema);\n const tableName = getTableName({ indexName: TABLE_NOTIFICATIONS, schemaName });\n const row = await client.oneOrNone(`SELECT * FROM ${tableName} WHERE \"threadId\" = $1 AND \"id\" = $2 LIMIT 1`, [\n input.threadId,\n input.id,\n ]);\n return row ? rowToNotification(row) : null;\n }\n\n async updateNotification(input: UpdateNotificationInput): Promise {\n const existing = await this.#getNotification(this.#db.client, { threadId: input.threadId, id: input.id });\n if (!existing) {\n throw new Error(`Notification ${input.id} was not found for thread ${input.threadId}`);\n }\n\n const now = new Date();\n await this.updateNotificationRow(input.threadId, input.id, {\n ...(input.status ? { status: input.status, ...statusTimestamp(input.status, now) } : {}),\n ...(input.summary !== undefined ? { summary: input.summary } : {}),\n ...(input.payload !== undefined ? { payload: cloneValue(input.payload) } : {}),\n ...(input.attributes !== undefined ? { attributes: cloneValue(input.attributes) } : {}),\n ...(input.metadata !== undefined ? { metadata: cloneValue(input.metadata) } : {}),\n ...(input.deliverAt !== undefined ? { deliverAt: input.deliverAt } : {}),\n ...(input.summaryAt !== undefined ? { summaryAt: input.summaryAt } : {}),\n ...(input.deliveryReason !== undefined ? { deliveryReason: input.deliveryReason } : {}),\n ...(input.deliveryAttempts !== undefined ? { deliveryAttempts: input.deliveryAttempts } : {}),\n ...(input.lastDeliveryAttemptAt !== undefined ? { lastDeliveryAttemptAt: input.lastDeliveryAttemptAt } : {}),\n ...(input.lastDeliveryError !== undefined ? { lastDeliveryError: input.lastDeliveryError } : {}),\n ...(input.deliveredSignalId !== undefined ? { deliveredSignalId: input.deliveredSignalId } : {}),\n ...(input.summarySignalId !== undefined ? { summarySignalId: input.summarySignalId } : {}),\n updatedAt: now,\n });\n\n const updated = await this.#getNotification(this.#db.client, { threadId: input.threadId, id: input.id });\n if (!updated) throw new Error(`Notification ${input.id} was not found for thread ${input.threadId}`);\n return updated;\n }\n\n // Inlined instead of importing `UpdateNotificationsStatusInput` so this adapter's `.d.ts` stays valid\n // against older @mastra/core versions that predate the bulk method.\n override async updateNotificationsStatus(input: {\n threadId: string;\n ids: string[];\n status: NotificationStatus;\n }): Promise {\n const ids = Array.from(new Set(input.ids));\n if (ids.length === 0) return [];\n\n const now = new Date();\n const assignments: Record = {\n status: input.status,\n ...statusTimestamp(input.status, now),\n updatedAt: now,\n };\n const columns = Object.keys(assignments);\n const setClause = columns\n .map((column, index) => `\"${parseSqlIdentifier(column, 'column name')}\" = $${index + 1}`)\n .join(', ');\n\n const schemaName = getSchemaName(this.#schema);\n const tableName = getTableName({ indexName: TABLE_NOTIFICATIONS, schemaName });\n // Bind the id list as one array parameter so the statement's parameter count is\n // independent of how many ids are passed.\n const rows = await this.#db.client.manyOrNone(\n `UPDATE ${tableName} SET ${setClause} WHERE \"threadId\" = $${columns.length + 1} AND \"id\" = ANY($${columns.length + 2}::text[]) RETURNING *`,\n [...Object.values(assignments), input.threadId, ids],\n );\n return rows.map(rowToNotification);\n }\n\n private async findCoalescable(input: CreateNotificationInput): Promise {\n if (!input.dedupeKey && !input.coalesceKey) return undefined;\n\n const schemaName = getSchemaName(this.#schema);\n const tableName = getTableName({ indexName: TABLE_NOTIFICATIONS, schemaName });\n // Runs immediately before an insert/update, so it must observe the latest writes.\n const row = await this.#db.client.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"threadId\" = $1 AND \"source\" = $2 AND \"kind\" = $3 AND \"status\" = $4 AND ((\"agentId\" = $5::text) OR (\"agentId\" IS NULL AND $5::text IS NULL)) AND ((\"resourceId\" = $6::text) OR (\"resourceId\" IS NULL AND $6::text IS NULL)) AND (($7::text IS NOT NULL AND \"dedupeKey\" = $7::text) OR ($8::text IS NOT NULL AND \"coalesceKey\" = $8::text)) ORDER BY \"updatedAt\" DESC LIMIT 1`,\n [\n input.threadId,\n input.source,\n input.kind,\n 'pending',\n input.agentId ?? null,\n input.resourceId ?? null,\n input.dedupeKey ?? null,\n input.coalesceKey ?? null,\n ],\n );\n\n return row ? rowToNotification(row) : undefined;\n }\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport {\n createStorageErrorId,\n listTracesArgsSchema,\n ObservabilityStorage,\n TABLE_SCHEMAS,\n TABLE_SPANS,\n toTraceSpans,\n TraceStatus,\n} from '@mastra/core/storage';\nimport type {\n SpanRecord,\n TracingStorageStrategy,\n ListTracesArgs,\n ListTracesResponse,\n UpdateSpanArgs,\n BatchDeleteTracesArgs,\n BatchUpdateSpansArgs,\n BatchCreateSpansArgs,\n CreateSpanArgs,\n GetSpanArgs,\n GetSpanResponse,\n GetRootSpanArgs,\n GetRootSpanResponse,\n GetTraceArgs,\n GetTraceResponse,\n GetTraceLightResponse,\n LightSpanRecord,\n CreateIndexOptions,\n PruneOptions,\n PruneResult,\n RetentionTablesDescriptor,\n TableRetentionPolicy,\n TABLE_NAMES,\n} from '@mastra/core/storage';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport { PgDB, resolvePgConfig, generateTableSQL, generateIndexSQL, generateTimestampTriggerSQL } from '../../db';\nimport type { PgDomainConfig } from '../../db';\nimport { runPrune, resolveTargets } from '../../retention';\nimport { transformFromSqlRow, getTableName, getSchemaName } from '../utils';\n\nexport class ObservabilityPG extends ObservabilityStorage {\n /**\n * Retention-eligible tables. The observability domain has a single physical\n * table (`mastra_ai_spans`); spans anchor on the timezone-aware `startedAtZ`\n * mirror column and are indexed for fast batched deletes.\n */\n static override readonly retentionTables: RetentionTablesDescriptor = {\n spans: { table: TABLE_SPANS, column: 'startedAtZ', indexed: true },\n };\n\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n /** Tables managed by this domain */\n static readonly MANAGED_TABLES = [TABLE_SPANS] as const;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n // Filter indexes to only those for tables managed by this domain\n this.#indexes = indexes?.filter(idx => (ObservabilityPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n async init(): Promise {\n await this.#db.createTable({ tableName: TABLE_SPANS, schema: TABLE_SCHEMAS[TABLE_SPANS] });\n // Add requestContext column for backwards compatibility with existing databases\n await this.#db.alterTable({\n tableName: TABLE_SPANS,\n schema: TABLE_SCHEMAS[TABLE_SPANS],\n ifNotExists: ['requestContext'],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n /**\n * Lazily ensures a btree index exists on each configured policy's retention\n * anchor column so age-based `prune()` deletes stay fast on large span tables.\n * Called from the prune path (not init) so only deployments that configure\n * retention pay the index's write/disk overhead. Best-effort: failures are\n * logged and pruning proceeds (correct, just slower).\n * Created even with `skipDefaultIndexes` — retention is an explicit opt-in,\n * so its supporting index is not part of the default index set.\n */\n private async ensureRetentionIndexes(policies: Record): Promise {\n const prefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n for (const [key, entry] of Object.entries(ObservabilityPG.retentionTables)) {\n if (!entry.indexed || !policies[key]) continue;\n try {\n await this.#db.ensureIndex({\n indexName: `${prefix}mastra_${key}_retention_idx`,\n tableName: entry.table as TABLE_NAMES,\n column: entry.column,\n });\n } catch (error) {\n this.logger?.warn?.(`Failed to create retention index for ${entry.table}:`, error);\n }\n }\n }\n\n /**\n * Returns default index definitions for the observability domain tables.\n * @param schemaPrefix - Prefix for index names (e.g. \"my_schema_\" or \"\")\n */\n static getDefaultIndexDefs(schemaPrefix: string): CreateIndexOptions[] {\n return [\n {\n name: `${schemaPrefix}mastra_ai_spans_traceid_startedat_idx`,\n table: TABLE_SPANS,\n columns: ['traceId', 'startedAt DESC'],\n },\n {\n name: `${schemaPrefix}mastra_ai_spans_parentspanid_startedat_idx`,\n table: TABLE_SPANS,\n columns: ['parentSpanId', 'startedAt DESC'],\n },\n {\n name: `${schemaPrefix}mastra_ai_spans_name_idx`,\n table: TABLE_SPANS,\n columns: ['name'],\n },\n {\n name: `${schemaPrefix}mastra_ai_spans_spantype_startedat_idx`,\n table: TABLE_SPANS,\n columns: ['spanType', 'startedAt DESC'],\n },\n // Root spans partial index - every listTraces query filters parentSpanId IS NULL\n {\n name: `${schemaPrefix}mastra_ai_spans_root_spans_idx`,\n table: TABLE_SPANS,\n columns: ['startedAt DESC'],\n where: '\"parentSpanId\" IS NULL',\n },\n // Entity identification indexes - common filtering patterns\n {\n name: `${schemaPrefix}mastra_ai_spans_entitytype_entityid_idx`,\n table: TABLE_SPANS,\n columns: ['entityType', 'entityId'],\n },\n {\n name: `${schemaPrefix}mastra_ai_spans_entitytype_entityname_idx`,\n table: TABLE_SPANS,\n columns: ['entityType', 'entityName'],\n },\n // Multi-tenant filtering - organizationId + userId\n {\n name: `${schemaPrefix}mastra_ai_spans_orgid_userid_idx`,\n table: TABLE_SPANS,\n columns: ['organizationId', 'userId'],\n },\n // Metadata JSONB GIN index - for custom filtering with @> containment\n {\n name: `${schemaPrefix}mastra_ai_spans_metadata_gin_idx`,\n table: TABLE_SPANS,\n columns: ['metadata'],\n method: 'gin',\n },\n // Tags array GIN index - for array containment queries\n {\n name: `${schemaPrefix}mastra_ai_spans_tags_gin_idx`,\n table: TABLE_SPANS,\n columns: ['tags'],\n method: 'gin',\n },\n ];\n }\n\n /**\n * Returns all DDL statements for this domain: table, constraints, timestamp trigger, and indexes.\n * Used by exportSchemas to produce a complete, reproducible schema export.\n */\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n const parsedSchema = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n const schemaPrefix = parsedSchema && parsedSchema !== 'public' ? `${parsedSchema}_` : '';\n\n // Table\n statements.push(\n generateTableSQL({\n tableName: TABLE_SPANS,\n schema: TABLE_SCHEMAS[TABLE_SPANS],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n\n // Timestamp trigger\n statements.push(generateTimestampTriggerSQL(TABLE_SPANS, schemaName));\n\n // Indexes\n for (const idx of ObservabilityPG.getDefaultIndexDefs(schemaPrefix)) {\n statements.push(generateIndexSQL(idx, schemaName));\n }\n\n return statements;\n }\n\n /**\n * Returns default index definitions for this instance's schema.\n */\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return ObservabilityPG.getDefaultIndexDefs(schemaPrefix);\n }\n\n /**\n * Creates default indexes for optimal query performance.\n */\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) {\n return;\n }\n\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n // Log but continue - indexes are performance optimizations\n this.logger?.warn?.(`Failed to create index ${indexDef.name}:`, error);\n }\n }\n }\n\n /**\n * Creates custom user-defined indexes for this domain's tables.\n */\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) {\n return;\n }\n\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n // Log but continue - indexes are performance optimizations\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n /**\n * Manually run the spans migration to deduplicate and add the unique constraint.\n * This is intended to be called from the CLI when duplicates are detected.\n *\n * @returns Migration result with status and details\n */\n async migrateSpans(): Promise<{\n success: boolean;\n alreadyMigrated: boolean;\n duplicatesRemoved: number;\n message: string;\n }> {\n return this.#db.migrateSpans();\n }\n\n /**\n * Check migration status for the spans table.\n * Returns information about whether migration is needed.\n */\n async checkSpansMigrationStatus(): Promise<{\n needsMigration: boolean;\n hasDuplicates: boolean;\n duplicateCount: number;\n constraintExists: boolean;\n tableName: string;\n }> {\n return this.#db.checkSpansMigrationStatus();\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_SPANS });\n }\n\n /**\n * Deletes spans older than the configured `maxAge`, in bounded, batched,\n * cancellable chunks. Unset = keep forever.\n */\n async prune(policies: Record, options?: PruneOptions): Promise {\n await this.ensureRetentionIndexes(policies);\n const targets = resolveTargets({\n policies,\n descriptor: ObservabilityPG.retentionTables,\n order: ['spans'],\n });\n return runPrune({ db: this.#db, domain: 'observability', targets, options });\n }\n\n public override get tracingStrategy(): {\n preferred: TracingStorageStrategy;\n supported: TracingStorageStrategy[];\n } {\n return {\n preferred: 'batch-with-updates',\n supported: ['batch-with-updates', 'insert-only'],\n };\n }\n\n async createSpan(args: CreateSpanArgs): Promise {\n const { span } = args;\n try {\n const startedAt = span.startedAt instanceof Date ? span.startedAt.toISOString() : span.startedAt;\n const endedAt = span.endedAt instanceof Date ? span.endedAt.toISOString() : span.endedAt;\n\n const record = {\n ...span,\n startedAt,\n endedAt,\n startedAtZ: startedAt,\n endedAtZ: endedAt,\n };\n\n return this.#db.insert({ tableName: TABLE_SPANS, record });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_SPAN', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: {\n spanId: span.spanId,\n traceId: span.traceId,\n spanType: span.spanType,\n name: span.name,\n },\n },\n error,\n );\n }\n }\n\n async getSpan(args: GetSpanArgs): Promise {\n const { traceId, spanId } = args;\n try {\n const tableName = getTableName({\n indexName: TABLE_SPANS,\n schemaName: getSchemaName(this.#schema),\n });\n\n const row = await this.#db.readClient.oneOrNone(\n `SELECT\n \"traceId\", \"spanId\", \"parentSpanId\", \"name\",\n \"entityType\", \"entityId\", \"entityName\",\n \"userId\", \"organizationId\", \"resourceId\",\n \"runId\", \"sessionId\", \"threadId\", \"requestId\",\n \"environment\", \"source\", \"serviceName\", \"scope\",\n \"spanType\", \"attributes\", \"metadata\", \"tags\", \"links\",\n \"input\", \"output\", \"error\", \"isEvent\",\n \"startedAtZ\" as \"startedAt\", \"endedAtZ\" as \"endedAt\",\n \"createdAtZ\" as \"createdAt\", \"updatedAtZ\" as \"updatedAt\"\n FROM ${tableName}\n WHERE \"traceId\" = $1 AND \"spanId\" = $2`,\n [traceId, spanId],\n );\n\n if (!row) {\n return null;\n }\n\n return {\n span: transformFromSqlRow({\n tableName: TABLE_SPANS,\n sqlRow: row,\n }),\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_SPAN', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { traceId, spanId },\n },\n error,\n );\n }\n }\n\n async getRootSpan(args: GetRootSpanArgs): Promise {\n const { traceId } = args;\n try {\n const tableName = getTableName({\n indexName: TABLE_SPANS,\n schemaName: getSchemaName(this.#schema),\n });\n\n const row = await this.#db.readClient.oneOrNone(\n `SELECT\n \"traceId\", \"spanId\", \"parentSpanId\", \"name\",\n \"entityType\", \"entityId\", \"entityName\",\n \"userId\", \"organizationId\", \"resourceId\",\n \"runId\", \"sessionId\", \"threadId\", \"requestId\",\n \"environment\", \"source\", \"serviceName\", \"scope\",\n \"spanType\", \"attributes\", \"metadata\", \"tags\", \"links\",\n \"input\", \"output\", \"error\", \"isEvent\",\n \"startedAtZ\" as \"startedAt\", \"endedAtZ\" as \"endedAt\",\n \"createdAtZ\" as \"createdAt\", \"updatedAtZ\" as \"updatedAt\"\n FROM ${tableName}\n WHERE \"traceId\" = $1 AND \"parentSpanId\" IS NULL`,\n [traceId],\n );\n\n if (!row) {\n return null;\n }\n\n return {\n span: transformFromSqlRow({\n tableName: TABLE_SPANS,\n sqlRow: row,\n }),\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_ROOT_SPAN', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { traceId },\n },\n error,\n );\n }\n }\n\n async getTrace(args: GetTraceArgs): Promise {\n const { traceId } = args;\n try {\n const tableName = getTableName({\n indexName: TABLE_SPANS,\n schemaName: getSchemaName(this.#schema),\n });\n\n const spans = await this.#db.readClient.manyOrNone(\n `SELECT\n \"traceId\", \"spanId\", \"parentSpanId\", \"name\",\n \"entityType\", \"entityId\", \"entityName\",\n \"userId\", \"organizationId\", \"resourceId\",\n \"runId\", \"sessionId\", \"threadId\", \"requestId\",\n \"environment\", \"source\", \"serviceName\", \"scope\",\n \"spanType\", \"attributes\", \"metadata\", \"tags\", \"links\",\n \"input\", \"output\", \"error\", \"isEvent\",\n \"startedAtZ\" as \"startedAt\", \"endedAtZ\" as \"endedAt\",\n \"createdAtZ\" as \"createdAt\", \"updatedAtZ\" as \"updatedAt\"\n FROM ${tableName}\n WHERE \"traceId\" = $1\n ORDER BY \"startedAtZ\" ASC`,\n [traceId],\n );\n\n if (!spans || spans.length === 0) {\n return null;\n }\n\n return {\n traceId,\n spans: spans.map(span =>\n transformFromSqlRow({\n tableName: TABLE_SPANS,\n sqlRow: span,\n }),\n ),\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_TRACE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: {\n traceId,\n },\n },\n error,\n );\n }\n }\n\n async getTraceLight(args: GetTraceArgs): Promise {\n const { traceId } = args;\n try {\n const tableName = getTableName({\n indexName: TABLE_SPANS,\n schemaName: getSchemaName(this.#schema),\n });\n\n const spans = await this.#db.readClient.manyOrNone(\n `SELECT\n \"traceId\", \"spanId\", \"parentSpanId\", \"name\",\n \"entityType\", \"entityId\", \"entityName\",\n \"spanType\", \"error\", \"isEvent\",\n \"startedAtZ\" as \"startedAt\", \"endedAtZ\" as \"endedAt\",\n \"createdAtZ\" as \"createdAt\", \"updatedAtZ\" as \"updatedAt\"\n FROM ${tableName}\n WHERE \"traceId\" = $1\n ORDER BY \"startedAtZ\" ASC`,\n [traceId],\n );\n\n if (!spans || spans.length === 0) {\n return null;\n }\n\n return {\n traceId,\n spans: spans.map(span =>\n transformFromSqlRow({\n tableName: TABLE_SPANS,\n sqlRow: span,\n }),\n ),\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_TRACE_LIGHT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: {\n traceId,\n },\n },\n error,\n );\n }\n }\n\n async updateSpan(args: UpdateSpanArgs): Promise {\n const { traceId, spanId, updates } = args;\n try {\n const data: Record = { ...updates };\n if (data.endedAt instanceof Date) {\n const endedAt = data.endedAt.toISOString();\n data.endedAt = endedAt;\n data.endedAtZ = endedAt;\n }\n if (data.startedAt instanceof Date) {\n const startedAt = data.startedAt.toISOString();\n data.startedAt = startedAt;\n data.startedAtZ = startedAt;\n }\n\n await this.#db.update({\n tableName: TABLE_SPANS,\n keys: { spanId, traceId },\n data,\n });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_SPAN', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: {\n spanId,\n traceId,\n },\n },\n error,\n );\n }\n }\n\n async listTraces(args: ListTracesArgs): Promise {\n // Parse args through schema to apply defaults\n const { filters, pagination, orderBy } = listTracesArgsSchema.parse(args);\n const page = pagination?.page ?? 0;\n const perPage = pagination?.perPage ?? 10;\n\n const tableName = getTableName({\n indexName: TABLE_SPANS,\n schemaName: getSchemaName(this.#schema),\n });\n\n try {\n // Build WHERE clause for filters\n const conditions: string[] = ['r.\"parentSpanId\" IS NULL']; // Only root spans\n const params: any[] = [];\n let paramIndex = 1;\n\n if (filters) {\n // Date range filters\n if (filters.startedAt?.start) {\n conditions.push(`r.\"startedAtZ\" >= $${paramIndex++}`);\n params.push(filters.startedAt.start.toISOString());\n }\n if (filters.startedAt?.end) {\n conditions.push(`r.\"startedAtZ\" <= $${paramIndex++}`);\n params.push(filters.startedAt.end.toISOString());\n }\n if (filters.endedAt?.start) {\n conditions.push(`r.\"endedAtZ\" >= $${paramIndex++}`);\n params.push(filters.endedAt.start.toISOString());\n }\n if (filters.endedAt?.end) {\n conditions.push(`r.\"endedAtZ\" <= $${paramIndex++}`);\n params.push(filters.endedAt.end.toISOString());\n }\n\n // Span type filter\n if (filters.spanType !== undefined) {\n conditions.push(`r.\"spanType\" = $${paramIndex++}`);\n params.push(filters.spanType);\n }\n\n // Entity filters\n if (filters.entityType !== undefined) {\n conditions.push(`r.\"entityType\" = $${paramIndex++}`);\n params.push(filters.entityType);\n }\n if (filters.entityId !== undefined) {\n conditions.push(`r.\"entityId\" = $${paramIndex++}`);\n params.push(filters.entityId);\n }\n if (filters.entityName !== undefined) {\n conditions.push(`r.\"entityName\" = $${paramIndex++}`);\n params.push(filters.entityName);\n }\n\n // Identity & Tenancy filters\n if (filters.userId !== undefined) {\n conditions.push(`r.\"userId\" = $${paramIndex++}`);\n params.push(filters.userId);\n }\n if (filters.organizationId !== undefined) {\n conditions.push(`r.\"organizationId\" = $${paramIndex++}`);\n params.push(filters.organizationId);\n }\n if (filters.resourceId !== undefined) {\n conditions.push(`r.\"resourceId\" = $${paramIndex++}`);\n params.push(filters.resourceId);\n }\n\n // Correlation ID filters\n if (filters.runId !== undefined) {\n conditions.push(`r.\"runId\" = $${paramIndex++}`);\n params.push(filters.runId);\n }\n if (filters.sessionId !== undefined) {\n conditions.push(`r.\"sessionId\" = $${paramIndex++}`);\n params.push(filters.sessionId);\n }\n if (filters.threadId !== undefined) {\n conditions.push(`r.\"threadId\" = $${paramIndex++}`);\n params.push(filters.threadId);\n }\n if (filters.requestId !== undefined) {\n conditions.push(`r.\"requestId\" = $${paramIndex++}`);\n params.push(filters.requestId);\n }\n\n // Deployment context filters\n if (filters.environment !== undefined) {\n conditions.push(`r.\"environment\" = $${paramIndex++}`);\n params.push(filters.environment);\n }\n if (filters.source !== undefined) {\n conditions.push(`r.\"source\" = $${paramIndex++}`);\n params.push(filters.source);\n }\n if (filters.serviceName !== undefined) {\n conditions.push(`r.\"serviceName\" = $${paramIndex++}`);\n params.push(filters.serviceName);\n }\n\n // Scope filter (JSONB containment)\n if (filters.scope != null) {\n conditions.push(`r.\"scope\" @> $${paramIndex++}`);\n params.push(JSON.stringify(filters.scope));\n }\n\n // Metadata filter (JSONB containment)\n if (filters.metadata != null) {\n conditions.push(`r.\"metadata\" @> $${paramIndex++}`);\n params.push(JSON.stringify(filters.metadata));\n }\n\n // Tags filter (all tags must be present)\n if (filters.tags != null && filters.tags.length > 0) {\n conditions.push(`r.\"tags\" @> $${paramIndex++}`);\n params.push(JSON.stringify(filters.tags));\n }\n\n // Status filter (derived from error and endedAt)\n if (filters.status !== undefined) {\n switch (filters.status) {\n case TraceStatus.ERROR:\n conditions.push(`r.\"error\" IS NOT NULL`);\n break;\n case TraceStatus.RUNNING:\n conditions.push(`r.\"endedAtZ\" IS NULL AND r.\"error\" IS NULL`);\n break;\n case TraceStatus.SUCCESS:\n conditions.push(`r.\"endedAtZ\" IS NOT NULL AND r.\"error\" IS NULL`);\n break;\n }\n }\n\n // hasChildError filter (requires subquery)\n if (filters.hasChildError !== undefined) {\n if (filters.hasChildError) {\n conditions.push(`EXISTS (\n SELECT 1 FROM ${tableName} c\n WHERE c.\"traceId\" = r.\"traceId\" AND c.\"error\" IS NOT NULL\n )`);\n } else {\n conditions.push(`NOT EXISTS (\n SELECT 1 FROM ${tableName} c\n WHERE c.\"traceId\" = r.\"traceId\" AND c.\"error\" IS NOT NULL\n )`);\n }\n }\n }\n\n const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';\n\n // Build ORDER BY clause with proper NULL handling for endedAt\n // For endedAt DESC: NULLs FIRST (running spans on top when viewing newest)\n // For endedAt ASC: NULLs LAST (running spans at end when viewing oldest)\n // startedAt is never null (required field), so no special handling needed\n const orderField = orderBy?.field ?? 'startedAt';\n const sortField = `${orderField}Z`;\n const sortDirection = orderBy?.direction ?? 'DESC';\n let orderClause: string;\n if (orderField === 'endedAt') {\n const nullsOrder = sortDirection === 'DESC' ? 'NULLS FIRST' : 'NULLS LAST';\n orderClause = `ORDER BY r.\"${sortField}\" ${sortDirection} ${nullsOrder}`;\n } else {\n orderClause = `ORDER BY r.\"${sortField}\" ${sortDirection}`;\n }\n\n // Get total count\n const countResult = await this.#db.readClient.oneOrNone<{ count: string }>(\n `SELECT COUNT(*) FROM ${tableName} r ${whereClause}`,\n params,\n );\n const count = Number(countResult?.count ?? 0);\n\n if (count === 0) {\n return {\n pagination: {\n total: 0,\n page,\n perPage,\n hasMore: false,\n },\n spans: [],\n };\n }\n\n // Get paginated spans\n const spans = await this.#db.readClient.manyOrNone(\n `SELECT\n r.\"traceId\", r.\"spanId\", r.\"parentSpanId\", r.\"name\",\n r.\"entityType\", r.\"entityId\", r.\"entityName\",\n r.\"userId\", r.\"organizationId\", r.\"resourceId\",\n r.\"runId\", r.\"sessionId\", r.\"threadId\", r.\"requestId\",\n r.\"environment\", r.\"source\", r.\"serviceName\", r.\"scope\",\n r.\"spanType\", r.\"attributes\", r.\"metadata\", r.\"tags\", r.\"links\",\n r.\"input\", r.\"output\", r.\"error\", r.\"isEvent\",\n r.\"startedAtZ\" as \"startedAt\", r.\"endedAtZ\" as \"endedAt\",\n r.\"createdAtZ\" as \"createdAt\", r.\"updatedAtZ\" as \"updatedAt\"\n FROM ${tableName} r\n ${whereClause}\n ${orderClause}\n LIMIT $${paramIndex} OFFSET $${paramIndex + 1}`,\n [...params, perPage, page * perPage],\n );\n\n return {\n pagination: {\n total: count,\n page,\n perPage,\n hasMore: (page + 1) * perPage < count,\n },\n spans: toTraceSpans(\n spans.map(span =>\n transformFromSqlRow({\n tableName: TABLE_SPANS,\n sqlRow: span,\n }),\n ),\n ),\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_TRACES', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n },\n error,\n );\n }\n }\n\n async batchCreateSpans(args: BatchCreateSpansArgs): Promise {\n try {\n const records = args.records.map(record => {\n const startedAt = record.startedAt instanceof Date ? record.startedAt.toISOString() : record.startedAt;\n const endedAt = record.endedAt instanceof Date ? record.endedAt.toISOString() : record.endedAt;\n\n return {\n ...record,\n startedAt,\n endedAt,\n startedAtZ: startedAt,\n endedAtZ: endedAt,\n };\n });\n\n return this.#db.batchInsert({\n tableName: TABLE_SPANS,\n records,\n });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'BATCH_CREATE_SPANS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n },\n error,\n );\n }\n }\n\n async batchUpdateSpans(args: BatchUpdateSpansArgs): Promise {\n try {\n return this.#db.batchUpdate({\n tableName: TABLE_SPANS,\n updates: args.records.map(record => {\n const data: Record = { ...record.updates };\n if (data.endedAt instanceof Date) {\n const endedAt = data.endedAt.toISOString();\n data.endedAt = endedAt;\n data.endedAtZ = endedAt;\n }\n if (data.startedAt instanceof Date) {\n const startedAt = data.startedAt.toISOString();\n data.startedAt = startedAt;\n data.startedAtZ = startedAt;\n }\n\n return {\n keys: { spanId: record.spanId, traceId: record.traceId },\n data,\n };\n }),\n });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'BATCH_UPDATE_SPANS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n },\n error,\n );\n }\n }\n\n async batchDeleteTraces(args: BatchDeleteTracesArgs): Promise {\n this.assertUnscopedBatchDeleteTraces(args);\n try {\n const tableName = getTableName({\n indexName: TABLE_SPANS,\n schemaName: getSchemaName(this.#schema),\n });\n\n const placeholders = args.traceIds.map((_, i) => `$${i + 1}`).join(', ');\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE \"traceId\" IN (${placeholders})`, args.traceIds);\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'BATCH_DELETE_TRACES', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n },\n error,\n );\n }\n }\n}\n","type ColumnType = 'bigserial' | 'boolean' | 'double precision' | 'jsonb' | 'text' | 'text[]' | 'timestamptz' | 'xid8';\n\ninterface SignalColumn {\n name: string;\n type: ColumnType;\n nullable?: boolean;\n defaultSql?: string;\n}\n\nconst CURSOR_ID_COLUMN = { name: 'cursorId', type: 'bigserial' } as const satisfies SignalColumn;\nconst XACT_ID_COLUMN = {\n name: 'xactId',\n type: 'xid8',\n defaultSql: 'pg_current_xact_id()',\n} as const satisfies SignalColumn;\n\nconst COMMON_CONTEXT_COLUMNS = [\n { name: 'traceId', type: 'text', nullable: true },\n { name: 'spanId', type: 'text', nullable: true },\n { name: 'experimentId', type: 'text', nullable: true },\n { name: 'entityType', type: 'text', nullable: true },\n { name: 'entityId', type: 'text', nullable: true },\n { name: 'entityName', type: 'text', nullable: true },\n { name: 'entityVersionId', type: 'text', nullable: true },\n { name: 'parentEntityType', type: 'text', nullable: true },\n { name: 'parentEntityId', type: 'text', nullable: true },\n { name: 'parentEntityName', type: 'text', nullable: true },\n { name: 'parentEntityVersionId', type: 'text', nullable: true },\n { name: 'rootEntityType', type: 'text', nullable: true },\n { name: 'rootEntityId', type: 'text', nullable: true },\n { name: 'rootEntityName', type: 'text', nullable: true },\n { name: 'rootEntityVersionId', type: 'text', nullable: true },\n { name: 'userId', type: 'text', nullable: true },\n { name: 'organizationId', type: 'text', nullable: true },\n { name: 'resourceId', type: 'text', nullable: true },\n { name: 'runId', type: 'text', nullable: true },\n { name: 'sessionId', type: 'text', nullable: true },\n { name: 'threadId', type: 'text', nullable: true },\n { name: 'requestId', type: 'text', nullable: true },\n { name: 'environment', type: 'text', nullable: true },\n { name: 'executionSource', type: 'text', nullable: true },\n { name: 'serviceName', type: 'text', nullable: true },\n] as const satisfies readonly SignalColumn[];\n\nexport const SPAN_EVENT_COLUMNS = [\n CURSOR_ID_COLUMN,\n XACT_ID_COLUMN,\n { name: 'traceId', type: 'text' },\n { name: 'spanId', type: 'text' },\n { name: 'parentSpanId', type: 'text', nullable: true },\n { name: 'experimentId', type: 'text', nullable: true },\n { name: 'entityType', type: 'text', nullable: true },\n { name: 'entityId', type: 'text', nullable: true },\n { name: 'entityName', type: 'text', nullable: true },\n { name: 'entityVersionId', type: 'text', nullable: true },\n { name: 'parentEntityType', type: 'text', nullable: true },\n { name: 'parentEntityId', type: 'text', nullable: true },\n { name: 'parentEntityName', type: 'text', nullable: true },\n { name: 'parentEntityVersionId', type: 'text', nullable: true },\n { name: 'rootEntityType', type: 'text', nullable: true },\n { name: 'rootEntityId', type: 'text', nullable: true },\n { name: 'rootEntityName', type: 'text', nullable: true },\n { name: 'rootEntityVersionId', type: 'text', nullable: true },\n { name: 'userId', type: 'text', nullable: true },\n { name: 'organizationId', type: 'text', nullable: true },\n { name: 'resourceId', type: 'text', nullable: true },\n { name: 'runId', type: 'text', nullable: true },\n { name: 'sessionId', type: 'text', nullable: true },\n { name: 'threadId', type: 'text', nullable: true },\n { name: 'requestId', type: 'text', nullable: true },\n { name: 'environment', type: 'text', nullable: true },\n { name: 'executionSource', type: 'text', nullable: true },\n { name: 'serviceName', type: 'text', nullable: true },\n { name: 'name', type: 'text' },\n { name: 'spanType', type: 'text' },\n { name: 'isEvent', type: 'boolean', defaultSql: 'false' },\n // True for a span that has started but not yet ended. `endedAt` is part of\n // the primary key and the partition key, so it can never be NULL in storage;\n // this flag is what distinguishes a running span (whose `endedAt` column\n // holds a synthesized copy of `startedAt`) from a genuinely ended one.\n { name: 'isPending', type: 'boolean', defaultSql: 'false' },\n { name: 'startedAt', type: 'timestamptz' },\n { name: 'endedAt', type: 'timestamptz' },\n { name: 'tags', type: 'text[]', defaultSql: \"'{}'\" },\n { name: 'metadataSearch', type: 'jsonb', defaultSql: \"'{}'::jsonb\" },\n { name: 'attributes', type: 'jsonb', nullable: true },\n { name: 'scope', type: 'jsonb', nullable: true },\n { name: 'links', type: 'jsonb', nullable: true },\n { name: 'input', type: 'jsonb', nullable: true },\n { name: 'output', type: 'jsonb', nullable: true },\n { name: 'error', type: 'jsonb', nullable: true },\n { name: 'metadataRaw', type: 'jsonb', nullable: true },\n { name: 'requestContext', type: 'jsonb', nullable: true },\n] as const satisfies readonly SignalColumn[];\n\nexport const METRIC_EVENT_COLUMNS = [\n CURSOR_ID_COLUMN,\n XACT_ID_COLUMN,\n { name: 'metricId', type: 'text' },\n { name: 'timestamp', type: 'timestamptz' },\n { name: 'name', type: 'text' },\n { name: 'value', type: 'double precision' },\n ...COMMON_CONTEXT_COLUMNS,\n { name: 'provider', type: 'text', nullable: true },\n { name: 'model', type: 'text', nullable: true },\n { name: 'estimatedCost', type: 'double precision', nullable: true },\n { name: 'costUnit', type: 'text', nullable: true },\n { name: 'tags', type: 'text[]', defaultSql: \"'{}'\" },\n { name: 'labels', type: 'jsonb', defaultSql: \"'{}'::jsonb\" },\n { name: 'costMetadata', type: 'jsonb', nullable: true },\n { name: 'metadata', type: 'jsonb', nullable: true },\n { name: 'scope', type: 'jsonb', nullable: true },\n] as const satisfies readonly SignalColumn[];\n\nexport const LOG_EVENT_COLUMNS = [\n CURSOR_ID_COLUMN,\n XACT_ID_COLUMN,\n { name: 'logId', type: 'text' },\n { name: 'timestamp', type: 'timestamptz' },\n { name: 'level', type: 'text' },\n { name: 'message', type: 'text' },\n ...COMMON_CONTEXT_COLUMNS,\n { name: 'tags', type: 'text[]', defaultSql: \"'{}'\" },\n { name: 'data', type: 'jsonb', nullable: true },\n { name: 'metadata', type: 'jsonb', nullable: true },\n { name: 'scope', type: 'jsonb', nullable: true },\n] as const satisfies readonly SignalColumn[];\n\nexport const SCORE_EVENT_COLUMNS = [\n CURSOR_ID_COLUMN,\n XACT_ID_COLUMN,\n { name: 'scoreId', type: 'text' },\n { name: 'timestamp', type: 'timestamptz' },\n { name: 'scorerId', type: 'text' },\n { name: 'scorerVersion', type: 'text', nullable: true },\n { name: 'scoreSource', type: 'text', nullable: true },\n { name: 'score', type: 'double precision' },\n { name: 'reason', type: 'text', nullable: true },\n ...COMMON_CONTEXT_COLUMNS,\n { name: 'scoreTraceId', type: 'text', nullable: true },\n { name: 'tags', type: 'text[]', defaultSql: \"'{}'\" },\n { name: 'metadata', type: 'jsonb', nullable: true },\n { name: 'scope', type: 'jsonb', nullable: true },\n] as const satisfies readonly SignalColumn[];\n\nexport const FEEDBACK_EVENT_COLUMNS = [\n CURSOR_ID_COLUMN,\n XACT_ID_COLUMN,\n { name: 'feedbackId', type: 'text' },\n { name: 'timestamp', type: 'timestamptz' },\n { name: 'feedbackSource', type: 'text' },\n { name: 'feedbackType', type: 'text' },\n { name: 'valueString', type: 'text', nullable: true },\n { name: 'valueNumber', type: 'double precision', nullable: true },\n { name: 'comment', type: 'text', nullable: true },\n { name: 'feedbackUserId', type: 'text', nullable: true },\n { name: 'sourceId', type: 'text', nullable: true },\n { name: 'reviewStatus', type: 'text', defaultSql: \"'needs-review'\" },\n ...COMMON_CONTEXT_COLUMNS,\n { name: 'tags', type: 'text[]', defaultSql: \"'{}'\" },\n { name: 'metadata', type: 'jsonb', nullable: true },\n { name: 'scope', type: 'jsonb', nullable: true },\n] as const satisfies readonly SignalColumn[];\n\nexport const SPAN_LIGHT_SELECT_COLUMN_NAMES = [\n 'cursorId',\n 'xactId',\n 'traceId',\n 'spanId',\n 'parentSpanId',\n 'name',\n 'entityType',\n 'entityId',\n 'entityName',\n 'spanType',\n 'error',\n 'isEvent',\n 'isPending',\n 'startedAt',\n 'endedAt',\n] as const;\n\nfunction quotedColumnName(name: string): string {\n return `\"${name}\"`;\n}\n\nfunction columnDefinition(column: SignalColumn): string {\n const nullable = column.nullable ? '' : ' NOT NULL';\n const defaultSql = column.defaultSql ? ` DEFAULT ${column.defaultSql}` : '';\n return ` ${quotedColumnName(column.name)} ${column.type}${nullable}${defaultSql}`;\n}\n\nexport function buildColumnDefinitions(columns: readonly SignalColumn[]): string {\n return columns.map(columnDefinition).join(',\\n');\n}\n\nexport function buildSelectColumns(columns: readonly SignalColumn[]): string {\n return `\\n ${columns.map(column => quotedColumnName(column.name)).join(',\\n ')}\\n`;\n}\n\nexport function buildNamedSelectColumns(columnNames: readonly string[]): string {\n return `\\n ${columnNames.map(quotedColumnName).join(',\\n ')}\\n`;\n}\n\nfunction columnNamesByType(columns: readonly SignalColumn[], type: ColumnType): string[] {\n return columns.filter(column => column.type === type).map(column => column.name);\n}\n\nfunction typedColumnNames(columns: readonly SignalColumn[]): Set {\n return new Set(\n columns\n .filter(column => !['bigserial', 'jsonb', 'text[]', 'xid8'].includes(column.type))\n .map(column => column.name),\n );\n}\n\nconst ALL_EVENT_COLUMNS = [\n ...SPAN_EVENT_COLUMNS,\n ...METRIC_EVENT_COLUMNS,\n ...LOG_EVENT_COLUMNS,\n ...SCORE_EVENT_COLUMNS,\n ...FEEDBACK_EVENT_COLUMNS,\n] as const;\n\nexport const JSONB_COLUMNS = new Set(columnNamesByType(ALL_EVENT_COLUMNS, 'jsonb'));\nexport const TEXT_ARRAY_COLUMNS = new Set(columnNamesByType(ALL_EVENT_COLUMNS, 'text[]'));\n\nexport const METRIC_TYPED_COLUMNS = typedColumnNames(METRIC_EVENT_COLUMNS);\nexport const SCORE_TYPED_COLUMNS = typedColumnNames(SCORE_EVENT_COLUMNS);\nexport const FEEDBACK_TYPED_COLUMNS = typedColumnNames(FEEDBACK_EVENT_COLUMNS);\n","/**\n * Raw DDL for Postgres v-next observability tables.\n *\n * One table per signal:\n * - mastra_span_events (insert-only ended spans; root spans surfaced\n * via partial indexes, not a separate table)\n * - mastra_metric_events\n * - mastra_log_events\n * - mastra_score_events\n * - mastra_feedback_events\n * - mastra_observability_discovery (cache table for discovery values)\n *\n * Physical conventions:\n * - timestamptz for all timestamps (millisecond precision; Postgres native)\n * - text + jsonb for IDs and payloads\n * - text[] for `tags`, jsonb for `metadataSearch` / `labels`\n * - Range partitioning by day on the time column (endedAt for spans, timestamp\n * for others). Partition key is part of every primary key, as Postgres\n * requires for partitioned tables.\n * - Root-span lookups (the `listTraces` / `getRootSpan` read surface) are\n * served by partial indexes on `mastra_span_events`\n * (`WHERE \"parentSpanId\" IS NULL`). This is the Postgres-idiomatic\n * equivalent of the ClickHouse `mastra_trace_roots` incremental MV:\n * selective enough to act as a projection while avoiding the trigger,\n * duplicate storage, and write amplification of a second table. The\n * partial indexes are also chunk-local on a Timescale hypertable, so the\n * same plan applies there.\n * - Retention is intentionally NOT implemented in this domain; the partition\n * skeleton exists so a future `mastra retention` CLI command can drop or\n * compress old partitions. pg_partman is detected and used when available.\n * - TimescaleDB is detected and create_hypertable() is called when the\n * extension is present. The base DDL is identical either way.\n */\n\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport {\n buildColumnDefinitions,\n FEEDBACK_EVENT_COLUMNS,\n LOG_EVENT_COLUMNS,\n METRIC_EVENT_COLUMNS,\n SCORE_EVENT_COLUMNS,\n SPAN_EVENT_COLUMNS,\n} from './signal-schema';\n\n// ---------------------------------------------------------------------------\n// Table names\n// ---------------------------------------------------------------------------\n\nexport const TABLE_SPAN_EVENTS = 'mastra_span_events';\nexport const TABLE_METRIC_EVENTS = 'mastra_metric_events';\nexport const TABLE_LOG_EVENTS = 'mastra_log_events';\nexport const TABLE_SCORE_EVENTS = 'mastra_score_events';\nexport const TABLE_FEEDBACK_EVENTS = 'mastra_feedback_events';\nexport const TABLE_DISCOVERY = 'mastra_observability_discovery';\n\nexport const ALL_SIGNAL_TABLES = [\n TABLE_SPAN_EVENTS,\n TABLE_METRIC_EVENTS,\n TABLE_LOG_EVENTS,\n TABLE_SCORE_EVENTS,\n TABLE_FEEDBACK_EVENTS,\n] as const;\n\nexport const ALL_TABLE_NAMES = [...ALL_SIGNAL_TABLES, TABLE_DISCOVERY] as const;\n\n/** Maps each signal table to the column used as its partition / TTL key. */\nexport const SIGNAL_TIME_COLUMN: Record<(typeof ALL_SIGNAL_TABLES)[number], string> = {\n [TABLE_SPAN_EVENTS]: 'endedAt',\n [TABLE_METRIC_EVENTS]: 'timestamp',\n [TABLE_LOG_EVENTS]: 'timestamp',\n [TABLE_SCORE_EVENTS]: 'timestamp',\n [TABLE_FEEDBACK_EVENTS]: 'timestamp',\n};\n\n// ---------------------------------------------------------------------------\n// Schema-aware identifier helpers\n// ---------------------------------------------------------------------------\n\n/** Returns a fully-qualified, double-quoted table name. */\nexport function qualifiedTable(schema: string, table: string): string {\n const s = parseSqlIdentifier(schema, 'schema name');\n const t = parseSqlIdentifier(table, 'table name');\n return `\"${s}\".\"${t}\"`;\n}\n\n/** Returns a parsed, quoted, schema-prefixed object name (constraint, index, etc.). */\nexport function qualifiedName(schema: string, name: string): string {\n const s = parseSqlIdentifier(schema, 'schema name');\n const n = parseSqlIdentifier(name, 'object name');\n return `\"${s}\".\"${n}\"`;\n}\n\n/** Schema CREATE. Safe to run repeatedly before table DDL. */\nexport function schemaDDL(schema: string): string {\n const s = parseSqlIdentifier(schema, 'schema name');\n return `CREATE SCHEMA IF NOT EXISTS \"${s}\"`;\n}\n\n// ---------------------------------------------------------------------------\n// Mode-aware partitioning clause\n// ---------------------------------------------------------------------------\n\n/**\n * Postgres declarative partitioning and Timescale hypertables are mutually\n * exclusive. When running on Timescale, the base table must NOT be declared\n * `PARTITION BY` — `create_hypertable()` handles chunking internally. For\n * native and pg_partman modes we keep `PARTITION BY RANGE` so future\n * partitions can be created with `CREATE TABLE ... PARTITION OF`.\n */\nfunction partitionClause(mode: TableDDLMode, column: string): string {\n return mode === 'timescale' ? '' : `PARTITION BY RANGE (\"${column}\")`;\n}\n\nexport type TableDDLMode = 'timescale' | 'partitioned';\n\n// ---------------------------------------------------------------------------\n// Span events DDL — completed spans, insert-only\n// ---------------------------------------------------------------------------\n\nfunction spanEventsTableDDL(schema: string, mode: TableDDLMode): string {\n return `\nCREATE TABLE IF NOT EXISTS ${qualifiedTable(schema, TABLE_SPAN_EVENTS)} (\n${buildColumnDefinitions(SPAN_EVENT_COLUMNS)},\n PRIMARY KEY (\"traceId\", \"spanId\", \"endedAt\")\n)\n${partitionClause(mode, 'endedAt')}\n`.trim();\n}\n\n// ---------------------------------------------------------------------------\n// Metric / log / score / feedback DDL\n// ---------------------------------------------------------------------------\n\nfunction metricEventsTableDDL(schema: string, mode: TableDDLMode): string {\n return `\nCREATE TABLE IF NOT EXISTS ${qualifiedTable(schema, TABLE_METRIC_EVENTS)} (\n${buildColumnDefinitions(METRIC_EVENT_COLUMNS)},\n PRIMARY KEY (\"metricId\", \"timestamp\")\n)\n${partitionClause(mode, 'timestamp')}\n`.trim();\n}\n\nfunction logEventsTableDDL(schema: string, mode: TableDDLMode): string {\n return `\nCREATE TABLE IF NOT EXISTS ${qualifiedTable(schema, TABLE_LOG_EVENTS)} (\n${buildColumnDefinitions(LOG_EVENT_COLUMNS)},\n PRIMARY KEY (\"logId\", \"timestamp\")\n)\n${partitionClause(mode, 'timestamp')}\n`.trim();\n}\n\nfunction scoreEventsTableDDL(schema: string, mode: TableDDLMode): string {\n return `\nCREATE TABLE IF NOT EXISTS ${qualifiedTable(schema, TABLE_SCORE_EVENTS)} (\n${buildColumnDefinitions(SCORE_EVENT_COLUMNS)},\n PRIMARY KEY (\"scoreId\", \"timestamp\")\n)\n${partitionClause(mode, 'timestamp')}\n`.trim();\n}\n\nfunction feedbackEventsTableDDL(schema: string, mode: TableDDLMode): string {\n return `\nCREATE TABLE IF NOT EXISTS ${qualifiedTable(schema, TABLE_FEEDBACK_EVENTS)} (\n${buildColumnDefinitions(FEEDBACK_EVENT_COLUMNS)},\n PRIMARY KEY (\"feedbackId\", \"timestamp\")\n)\n${partitionClause(mode, 'timestamp')}\n`.trim();\n}\n\n// ---------------------------------------------------------------------------\n// Discovery cache table — refreshed lazily by readers\n// ---------------------------------------------------------------------------\n\nfunction discoveryTableDDL(schema: string): string {\n return `\nCREATE TABLE IF NOT EXISTS ${qualifiedTable(schema, TABLE_DISCOVERY)} (\n \"cacheKey\" text PRIMARY KEY,\n \"refreshedAt\" timestamptz NOT NULL,\n \"values\" jsonb NOT NULL DEFAULT '[]'::jsonb\n)\n`.trim();\n}\n\n// ---------------------------------------------------------------------------\n// Index definitions per table — partition-local btrees, GINs, and partial\n// indexes that act as a root-span projection on span_events.\n// ---------------------------------------------------------------------------\n\ninterface IndexSpec {\n name: string;\n table: string;\n columns: string;\n using?: 'btree' | 'gin';\n where?: string;\n}\n\n/**\n * Filter that selects only root spans. Used to make several span_events\n * indexes act as a projection for the `listTraces` / `getRootSpan` read path.\n */\nconst ROOT_SPAN_WHERE = '\"parentSpanId\" IS NULL';\n\nfunction tableIndexes(): IndexSpec[] {\n return [\n // span_events — full-table indexes used by getTrace / getSpan\n { name: 'mastra_span_events_traceid_idx', table: TABLE_SPAN_EVENTS, columns: '(\"traceId\", \"endedAt\" DESC)' },\n {\n name: 'mastra_span_events_parentspan_idx',\n table: TABLE_SPAN_EVENTS,\n columns: '(\"parentSpanId\", \"endedAt\" DESC)',\n },\n { name: 'mastra_span_events_name_idx', table: TABLE_SPAN_EVENTS, columns: '(\"name\")' },\n // Used by listBranches page mode (filter by spanType, order by startedAt).\n { name: 'mastra_span_events_spantype_idx', table: TABLE_SPAN_EVENTS, columns: '(\"spanType\", \"startedAt\" DESC)' },\n { name: 'mastra_span_events_entity_idx', table: TABLE_SPAN_EVENTS, columns: '(\"entityType\", \"entityId\")' },\n {\n name: 'mastra_span_events_orgid_userid_idx',\n table: TABLE_SPAN_EVENTS,\n columns: '(\"organizationId\", \"userId\")',\n },\n {\n name: 'mastra_span_events_metadatasearch_gin',\n table: TABLE_SPAN_EVENTS,\n columns: '(\"metadataSearch\" jsonb_path_ops)',\n using: 'gin',\n },\n { name: 'mastra_span_events_tags_gin', table: TABLE_SPAN_EVENTS, columns: '(\"tags\")', using: 'gin' },\n\n // span_events — partial indexes acting as the root-span projection. The\n // listTraces filter surface (startedAt / spanType / entityType / etc.) is\n // covered by these; rows where parentSpanId IS NOT NULL are excluded from\n // the index, so the index is the size of a separate trace_roots table.\n {\n name: 'mastra_span_events_root_startedat_idx',\n table: TABLE_SPAN_EVENTS,\n columns: '(\"startedAt\" DESC)',\n where: ROOT_SPAN_WHERE,\n },\n {\n name: 'mastra_span_events_root_endedat_idx',\n table: TABLE_SPAN_EVENTS,\n columns: '(\"endedAt\" DESC)',\n where: ROOT_SPAN_WHERE,\n },\n {\n name: 'mastra_span_events_root_spantype_idx',\n table: TABLE_SPAN_EVENTS,\n columns: '(\"spanType\", \"startedAt\" DESC)',\n where: ROOT_SPAN_WHERE,\n },\n {\n name: 'mastra_span_events_root_entityname_idx',\n table: TABLE_SPAN_EVENTS,\n columns: '(\"entityType\", \"entityName\", \"startedAt\" DESC)',\n where: ROOT_SPAN_WHERE,\n },\n {\n name: 'mastra_span_events_root_traceid_idx',\n table: TABLE_SPAN_EVENTS,\n columns: '(\"traceId\")',\n where: ROOT_SPAN_WHERE,\n },\n // Delta polling: transaction-safe cursor ordering. Full-table coverage so the same index\n // serves both listTraces (combined with the `parentSpanId IS NULL`\n // predicate) and listBranches (combined with `spanType IN (...)`).\n {\n name: 'mastra_span_events_cursor_idx',\n table: TABLE_SPAN_EVENTS,\n columns: '(\"xactId\", \"cursorId\")',\n },\n\n // metric_events\n { name: 'mastra_metric_events_name_ts_idx', table: TABLE_METRIC_EVENTS, columns: '(\"name\", \"timestamp\" DESC)' },\n {\n name: 'mastra_metric_events_entity_idx',\n table: TABLE_METRIC_EVENTS,\n columns: '(\"entityType\", \"entityId\", \"timestamp\" DESC)',\n },\n { name: 'mastra_metric_events_traceid_idx', table: TABLE_METRIC_EVENTS, columns: '(\"traceId\")' },\n { name: 'mastra_metric_events_labels_gin', table: TABLE_METRIC_EVENTS, columns: '(\"labels\")', using: 'gin' },\n { name: 'mastra_metric_events_tags_gin', table: TABLE_METRIC_EVENTS, columns: '(\"tags\")', using: 'gin' },\n { name: 'mastra_metric_events_cursor_idx', table: TABLE_METRIC_EVENTS, columns: '(\"xactId\", \"cursorId\")' },\n\n // log_events\n { name: 'mastra_log_events_ts_idx', table: TABLE_LOG_EVENTS, columns: '(\"timestamp\" DESC)' },\n { name: 'mastra_log_events_level_ts_idx', table: TABLE_LOG_EVENTS, columns: '(\"level\", \"timestamp\" DESC)' },\n { name: 'mastra_log_events_traceid_idx', table: TABLE_LOG_EVENTS, columns: '(\"traceId\")' },\n {\n name: 'mastra_log_events_entity_idx',\n table: TABLE_LOG_EVENTS,\n columns: '(\"entityType\", \"entityId\", \"timestamp\" DESC)',\n },\n { name: 'mastra_log_events_tags_gin', table: TABLE_LOG_EVENTS, columns: '(\"tags\")', using: 'gin' },\n { name: 'mastra_log_events_cursor_idx', table: TABLE_LOG_EVENTS, columns: '(\"xactId\", \"cursorId\")' },\n\n // score_events\n { name: 'mastra_score_events_traceid_idx', table: TABLE_SCORE_EVENTS, columns: '(\"traceId\", \"timestamp\" DESC)' },\n { name: 'mastra_score_events_scorerid_idx', table: TABLE_SCORE_EVENTS, columns: '(\"scorerId\", \"timestamp\" DESC)' },\n {\n name: 'mastra_score_events_entity_idx',\n table: TABLE_SCORE_EVENTS,\n columns: '(\"entityType\", \"entityId\", \"timestamp\" DESC)',\n },\n { name: 'mastra_score_events_tags_gin', table: TABLE_SCORE_EVENTS, columns: '(\"tags\")', using: 'gin' },\n { name: 'mastra_score_events_cursor_idx', table: TABLE_SCORE_EVENTS, columns: '(\"xactId\", \"cursorId\")' },\n\n // feedback_events\n {\n name: 'mastra_feedback_events_traceid_idx',\n table: TABLE_FEEDBACK_EVENTS,\n columns: '(\"traceId\", \"timestamp\" DESC)',\n },\n {\n name: 'mastra_feedback_events_type_idx',\n table: TABLE_FEEDBACK_EVENTS,\n columns: '(\"feedbackType\", \"timestamp\" DESC)',\n },\n {\n name: 'mastra_feedback_events_entity_idx',\n table: TABLE_FEEDBACK_EVENTS,\n columns: '(\"entityType\", \"entityId\", \"timestamp\" DESC)',\n },\n { name: 'mastra_feedback_events_tags_gin', table: TABLE_FEEDBACK_EVENTS, columns: '(\"tags\")', using: 'gin' },\n { name: 'mastra_feedback_events_cursor_idx', table: TABLE_FEEDBACK_EVENTS, columns: '(\"xactId\", \"cursorId\")' },\n ];\n}\n\nfunction indexDDL(schema: string, spec: IndexSpec): string {\n const idxName = parseSqlIdentifier(spec.name, 'index name');\n const using = spec.using ? `USING ${spec.using}` : '';\n const where = spec.where ? `WHERE ${spec.where}` : '';\n return `CREATE INDEX IF NOT EXISTS \"${idxName}\" ON ${qualifiedTable(schema, spec.table)} ${using} ${spec.columns} ${where}`.replace(\n /\\s+/g,\n ' ',\n );\n}\n\n// ---------------------------------------------------------------------------\n// Public DDL accessors\n// ---------------------------------------------------------------------------\n\n/** All table CREATEs in dependency-safe order. */\nexport function allTableDDL(schema: string, mode: TableDDLMode): string[] {\n return [\n spanEventsTableDDL(schema, mode),\n metricEventsTableDDL(schema, mode),\n logEventsTableDDL(schema, mode),\n scoreEventsTableDDL(schema, mode),\n feedbackEventsTableDDL(schema, mode),\n discoveryTableDDL(schema),\n ];\n}\n\n/**\n * Additive column migrations for tables created by an older version of this\n * schema. `CREATE TABLE IF NOT EXISTS` is a no-op on an existing table, so new\n * columns have to be added out of band.\n *\n * `ALTER TABLE` takes an AccessExclusiveLock on the partitioned parent, so\n * callers must check {@link columnExistsSQL} first and only run the statement\n * when the column is genuinely missing. On Postgres 11+ the non-volatile\n * default does not rewrite the table, and the ALTER cascades to partitions.\n */\nexport function additiveColumns(schema: string): { table: string; column: string; ddl: string }[] {\n return [\n {\n table: TABLE_SPAN_EVENTS,\n column: 'isPending',\n ddl: `ALTER TABLE ${qualifiedTable(schema, TABLE_SPAN_EVENTS)} ADD COLUMN IF NOT EXISTS \"isPending\" boolean NOT NULL DEFAULT false`,\n },\n {\n table: TABLE_FEEDBACK_EVENTS,\n column: 'reviewStatus',\n ddl: `ALTER TABLE ${qualifiedTable(schema, TABLE_FEEDBACK_EVENTS)} ADD COLUMN IF NOT EXISTS \"reviewStatus\" text NOT NULL DEFAULT 'needs-review'`,\n },\n ];\n}\n\n/** Existence probe for an additive column. Params: schema, table, column. */\nexport const columnExistsSQL = `SELECT 1 FROM information_schema.columns\n WHERE table_schema = $1 AND table_name = $2 AND column_name = $3`;\n\n/** Index CREATEs. Safe to run repeatedly. */\nexport function allIndexDDL(schema: string): string[] {\n return tableIndexes().map(spec => indexDDL(schema, spec));\n}\n","/**\n * Discovery operations for the v-next Postgres observability domain.\n *\n * Backed by a single cache table (`mastra_observability_discovery`) keyed by a\n * cacheKey string. Reads use stale-while-revalidate semantics:\n *\n * - if no cache row exists, compute synchronously and serve.\n * - if cache row exists and is fresher than `discoveryTtlSeconds`, serve as-is.\n * - if cache row is stale, kick off an async refresh and serve the cached\n * value. The refresh upserts on a single row keyed by cacheKey, so\n * concurrent readers race harmlessly with last-write-wins semantics.\n *\n * No in-memory caching: the table-backed cache works across multiple\n * frontends pointing at the same database and survives serverless restarts.\n */\n\nimport type { IMastraLogger } from '@mastra/core/logger';\nimport type {\n EntityType,\n GetEntityNamesArgs,\n GetEntityNamesResponse,\n GetEntityTypesArgs,\n GetEntityTypesResponse,\n GetEnvironmentsArgs,\n GetEnvironmentsResponse,\n GetMetricLabelKeysArgs,\n GetMetricLabelKeysResponse,\n GetMetricLabelValuesArgs,\n GetMetricLabelValuesResponse,\n GetMetricNamesArgs,\n GetMetricNamesResponse,\n GetServiceNamesArgs,\n GetServiceNamesResponse,\n GetTagsArgs,\n GetTagsResponse,\n} from '@mastra/core/storage';\n\nimport { parseSqlIdentifier } from '@mastra/core/utils';\n\nimport type { DbClient } from '../../../client';\nimport {\n qualifiedTable,\n TABLE_DISCOVERY,\n TABLE_LOG_EVENTS,\n TABLE_METRIC_EVENTS,\n TABLE_SCORE_EVENTS,\n TABLE_FEEDBACK_EVENTS,\n TABLE_SPAN_EVENTS,\n SIGNAL_TIME_COLUMN,\n} from './ddl';\n\nconst DEFAULT_TTL_SECONDS = 5 * 60; // 5 minutes\nconst DEFAULT_LOOKBACK_SECONDS = 30 * 24 * 60 * 60; // 30 days\n\n/** All signal tables that contain a column. Used by cross-signal discovery. */\nconst SIGNAL_TABLES_WITH_CONTEXT = [\n TABLE_SPAN_EVENTS,\n TABLE_METRIC_EVENTS,\n TABLE_LOG_EVENTS,\n TABLE_SCORE_EVENTS,\n TABLE_FEEDBACK_EVENTS,\n] as const;\n\n/** Tables for entity-type / entity-name / tag discovery (excludes scores/feedback). */\nconst ENTITY_DISCOVERY_TABLES = [TABLE_SPAN_EVENTS, TABLE_METRIC_EVENTS, TABLE_LOG_EVENTS] as const;\n\nexport interface DiscoveryConfig {\n /** TTL for cached values in seconds. Default 300 (5 minutes). */\n ttlSeconds?: number;\n /**\n * Only scan events newer than this many seconds when refreshing a discovery\n * value. Default 2592000 (30 days).\n *\n * The predicate targets each signal table's partition range key\n * (`SIGNAL_TIME_COLUMN`), so bounding the window lets Postgres prune\n * partitions on native/pg_partman layouts and exclude chunks on Timescale\n * instead of visiting all history on every refresh.\n *\n * Set to 0 to scan all history (the behavior before this option existed).\n * Note that a value last seen outside the window disappears from discovery\n * results until it is seen again.\n */\n lookbackSeconds?: number;\n /**\n * Logger used to report background refresh failures. Injected by the\n * domain class (`ObservabilityStoragePostgresVNext`) so discovery\n * warnings land in the framework logger alongside the rest of the store.\n * Falls back to `console.warn` when absent so direct callers (tests,\n * scripts) still see refresh failures.\n * @internal\n */\n logger?: IMastraLogger;\n}\n\n/**\n * In-process dedupe for concurrent refreshes against the same cache key.\n *\n * Covers two stampede shapes:\n * - cold start: N concurrent first-callers all want the values, but only\n * one of them needs to actually run `refresh()` + `upsertCache()`. The\n * others await the same promise.\n * - stale refresh: N concurrent stale-readers serve the cached values\n * immediately and share one background refresh.\n *\n * The map keys are `\"schema:cacheKey\"` so multiple schemas using the same\n * key don't share an entry. Entries clear themselves via `.finally` after\n * the refresh settles.\n */\nconst inFlightRefreshes = new Map>();\n\nfunction startOrJoinRefresh(\n dedupeKey: string,\n cacheKey: string,\n refresh: () => Promise,\n upsert: (values: string[]) => Promise,\n logger: IMastraLogger | undefined,\n): Promise {\n const existing = inFlightRefreshes.get(dedupeKey);\n if (existing) return existing;\n\n const promise = (async () => {\n try {\n const values = await refresh();\n await upsert(values);\n return values;\n } catch (error) {\n // Surface refresh failures — silently swallowing them would mask real\n // DB/connectivity issues behind permanently stale data. Prefer the\n // framework logger so warnings land in the same stream as the rest\n // of the store; fall back to console.warn for direct callers (tests,\n // scripts) that don't inject one.\n const message = `[observability/v-next] background refresh failed for discovery cache key \"${cacheKey}\"`;\n if (logger) {\n logger.warn(message, { error });\n } else {\n console.warn(message + ':', error);\n }\n throw error;\n } finally {\n inFlightRefreshes.delete(dedupeKey);\n }\n })();\n\n inFlightRefreshes.set(dedupeKey, promise);\n return promise;\n}\n\n/**\n * Read the cache row for `cacheKey` and decide whether to refresh.\n *\n * Stale-while-revalidate semantics:\n * - Fresh cache hit: return the stored values immediately.\n * - Stale cache hit: return the cached values immediately AND kick off a\n * background refresh (deduped) so the next reader sees fresh data.\n * Concurrent stale readers don't await the shared refresh — that's the\n * \"while-revalidate\" half of SWR.\n * - Cold miss (no row at all): block on the refresh and return its values.\n * Concurrent cold callers share one refresh promise via the dedupe map.\n */\nasync function readWithRefresh(\n client: DbClient,\n schema: string,\n cacheKey: string,\n refresh: () => Promise,\n ttlSeconds: number,\n logger: IMastraLogger | undefined,\n): Promise {\n const table = qualifiedTable(schema, TABLE_DISCOVERY);\n // pg returns `timestamptz` as a JS Date — type the field accordingly.\n const row = await client.oneOrNone<{ values: string[]; refreshedAt: Date }>(\n `SELECT \"values\", \"refreshedAt\" FROM ${table} WHERE \"cacheKey\" = $1`,\n [cacheKey],\n );\n\n const dedupeKey = `${schema}:${cacheKey}`;\n const startRefresh = () =>\n startOrJoinRefresh(dedupeKey, cacheKey, refresh, values => upsertCache(client, schema, cacheKey, values), logger);\n\n // Force-refresh path: `ttlSeconds <= 0` is the contract used by\n // `refreshAllDiscoveryCaches()` (and the future `mastra observability\n // discovery refresh` CLI) to mean \"block until the cache is rewritten\".\n // Check this before cache freshness because consecutive forced refreshes can\n // occur in the same millisecond.\n if (ttlSeconds <= 0) {\n try {\n return await startRefresh();\n } catch {\n // Already logged inside startOrJoinRefresh. Fall back to whatever we\n // had cached so the caller still gets a defined value.\n return row?.values ?? [];\n }\n }\n\n const refreshedAtMs = row ? new Date(row.refreshedAt).getTime() : 0;\n const stale = !row || Date.now() - refreshedAtMs > ttlSeconds * 1000;\n\n if (!stale) return row!.values;\n\n if (!row) {\n // Cold path: no cached values to serve. Block on (or join) the refresh.\n try {\n return await startRefresh();\n } catch {\n // Already logged inside startOrJoinRefresh; return empty so the caller\n // gets a defined value instead of throwing.\n return [];\n }\n }\n\n // Stale path: serve the cached values immediately and revalidate in the\n // background — but only if this process wins the claim. `inFlightRefreshes`\n // dedupes within one process; the claim extends that to every process\n // pointing at the same database, so N frontends going stale together run\n // one refresh instead of N.\n const previousRefreshedAt = row.refreshedAt;\n void claimRefresh(client, schema, cacheKey, ttlSeconds)\n .then(claimedAt => {\n // Lost the claim: another process is already refreshing this key.\n if (!claimedAt) return;\n return startRefresh().then(\n // Success rewrites `refreshedAt` via upsertCache.\n () => {},\n // Failure (already logged by startOrJoinRefresh) hands the claim\n // back by restoring the timestamp we found, so the next reader\n // retries instead of waiting out a TTL on a stamp that never\n // corresponded to a completed refresh.\n () => releaseClaim(client, schema, cacheKey, previousRefreshedAt, claimedAt),\n );\n })\n .catch(() => {});\n return row.values;\n}\n\n/**\n * Try to become the process that refreshes `cacheKey`.\n *\n * The conditional UPDATE re-checks staleness in the database and stamps\n * `refreshedAt` in the same statement, so exactly one caller can transition a\n * given cache row out of the stale window — losers see zero rows updated and\n * skip their refresh. This is the cross-process counterpart to\n * `inFlightRefreshes`: N frontends going stale together run one refresh\n * instead of N.\n *\n * It reuses the cache table rather than an advisory lock because `DbClient`\n * is pool-backed, so a transaction-scoped lock would mean threading explicit\n * transaction handling through the discovery read path.\n *\n * The stamp is provisional in both directions: a completed refresh overwrites\n * it via `upsertCache`, and a failed one restores it via `releaseClaim`.\n *\n * Returns the exact provisional stamp written by the claim (or `null` when\n * the claim was lost) so `releaseClaim` can restore the row only while it\n * still holds this claim's stamp.\n */\nasync function claimRefresh(\n client: DbClient,\n schema: string,\n cacheKey: string,\n ttlSeconds: number,\n): Promise {\n const table = qualifiedTable(schema, TABLE_DISCOVERY);\n // The stamp is returned as text so the microsecond precision Postgres\n // stores survives the round trip — a JS Date only holds milliseconds,\n // which would break the exact-match guard in `releaseClaim`.\n const claimed = await client.oneOrNone<{ refreshedAt: string }>(\n `UPDATE ${table} SET \"refreshedAt\" = NOW()\n WHERE \"cacheKey\" = $1 AND \"refreshedAt\" <= NOW() - ($2 || ' seconds')::interval\n RETURNING \"refreshedAt\"::text AS \"refreshedAt\"`,\n [cacheKey, Math.floor(ttlSeconds)],\n );\n return claimed?.refreshedAt ?? null;\n}\n\n/**\n * Hand back a claim whose refresh failed by restoring the timestamp the\n * claiming reader observed. Guarded on the row still holding this claim's\n * exact provisional stamp so a refresh that completed in the meantime\n * (another process, or a later claim) isn't dragged backwards into staleness.\n */\nasync function releaseClaim(\n client: DbClient,\n schema: string,\n cacheKey: string,\n previousRefreshedAt: Date,\n claimedAt: string,\n): Promise {\n const table = qualifiedTable(schema, TABLE_DISCOVERY);\n try {\n await client.query(\n `UPDATE ${table} SET \"refreshedAt\" = $2\n WHERE \"cacheKey\" = $1 AND \"refreshedAt\" = $3::timestamptz`,\n [cacheKey, previousRefreshedAt, claimedAt],\n );\n } catch {\n // Best-effort: the claim expires on its own once the TTL elapses.\n }\n}\n\nasync function upsertCache(client: DbClient, schema: string, cacheKey: string, values: string[]): Promise {\n const table = qualifiedTable(schema, TABLE_DISCOVERY);\n await client.query(\n `INSERT INTO ${table} (\"cacheKey\", \"refreshedAt\", \"values\")\n VALUES ($1, NOW(), $2::jsonb)\n ON CONFLICT (\"cacheKey\") DO UPDATE SET\n \"refreshedAt\" = EXCLUDED.\"refreshedAt\",\n \"values\" = EXCLUDED.\"values\"`,\n [cacheKey, JSON.stringify(values)],\n );\n}\n\n// ---------------------------------------------------------------------------\n// Per-discovery refresh queries\n// ---------------------------------------------------------------------------\n\n/**\n * Time predicate that bounds a discovery refresh to recent events.\n *\n * Each signal table is range-partitioned on its own time column\n * (`SIGNAL_TIME_COLUMN`: `endedAt` for spans, `timestamp` for everything\n * else), so the predicate has to be built per table rather than shared across\n * a UNION. Bounding on that exact column is what lets the planner prune\n * partitions/chunks instead of scanning all history.\n *\n * The interval is interpolated rather than bound to a parameter on purpose:\n * the UNION branches in `distinctAcrossTables` and `getTags` all reference the\n * same positional placeholders, so adding a per-branch parameter would break\n * `$N` numbering. Safety comes from coercing to a finite integer here — the\n * value originates from `DiscoveryConfig`, never from user input.\n */\nfunction lookbackPredicate(table: string, lookbackSeconds: number): string {\n if (!Number.isFinite(lookbackSeconds) || lookbackSeconds <= 0) return '';\n const seconds = Math.floor(lookbackSeconds);\n const timeColumn = SIGNAL_TIME_COLUMN[table as keyof typeof SIGNAL_TIME_COLUMN];\n if (!timeColumn) return '';\n return `AND \"${timeColumn}\" >= NOW() - INTERVAL '${seconds} seconds'`;\n}\n\nasync function distinctAcrossTables(\n client: DbClient,\n schema: string,\n column: string,\n tables: readonly string[],\n lookbackSeconds: number,\n filterSql: string = '',\n filterParams: unknown[] = [],\n): Promise {\n // Defense-in-depth: every current caller passes a hardcoded column name,\n // but validating the identifier here makes the helper injection-safe by\n // construction in case a future caller takes it from user input.\n const safeColumn = parseSqlIdentifier(column, 'column name');\n // Each subquery references the same $N placeholders; pg parameters are\n // positional, so we pass `filterParams` exactly once.\n const unions = tables\n .map(\n t =>\n `SELECT DISTINCT \"${safeColumn}\" AS v FROM ${qualifiedTable(schema, t)} WHERE \"${safeColumn}\" IS NOT NULL AND \"${safeColumn}\" <> '' ${filterSql} ${lookbackPredicate(t, lookbackSeconds)}`,\n )\n .join(' UNION ');\n const rows = await client.manyOrNone<{ v: string }>(`SELECT v FROM (${unions}) sub ORDER BY v`, filterParams);\n return rows.map(r => r.v);\n}\n\n// ---------------------------------------------------------------------------\n// Public API\n// ---------------------------------------------------------------------------\n\nexport async function getEntityTypes(\n client: DbClient,\n schema: string,\n _args: GetEntityTypesArgs,\n config: DiscoveryConfig,\n): Promise {\n const ttl = config.ttlSeconds ?? DEFAULT_TTL_SECONDS;\n const lookback = config.lookbackSeconds ?? DEFAULT_LOOKBACK_SECONDS;\n const values = await readWithRefresh(\n client,\n schema,\n 'entity_types',\n () => distinctAcrossTables(client, schema, 'entityType', ENTITY_DISCOVERY_TABLES, lookback),\n ttl,\n config.logger,\n );\n return { entityTypes: values as EntityType[] };\n}\n\nexport async function getEntityNames(\n client: DbClient,\n schema: string,\n args: GetEntityNamesArgs,\n config: DiscoveryConfig,\n): Promise {\n const ttl = config.ttlSeconds ?? DEFAULT_TTL_SECONDS;\n const lookback = config.lookbackSeconds ?? DEFAULT_LOOKBACK_SECONDS;\n const cacheKey = args.entityType ? `entity_names:${args.entityType}` : 'entity_names';\n const filterSql = args.entityType ? `AND \"entityType\" = $1` : '';\n const filterParams = args.entityType ? [args.entityType] : [];\n const values = await readWithRefresh(\n client,\n schema,\n cacheKey,\n () =>\n distinctAcrossTables(client, schema, 'entityName', ENTITY_DISCOVERY_TABLES, lookback, filterSql, filterParams),\n ttl,\n config.logger,\n );\n return { names: values };\n}\n\nexport async function getServiceNames(\n client: DbClient,\n schema: string,\n _args: GetServiceNamesArgs,\n config: DiscoveryConfig,\n): Promise {\n const ttl = config.ttlSeconds ?? DEFAULT_TTL_SECONDS;\n const lookback = config.lookbackSeconds ?? DEFAULT_LOOKBACK_SECONDS;\n const values = await readWithRefresh(\n client,\n schema,\n 'service_names',\n () => distinctAcrossTables(client, schema, 'serviceName', SIGNAL_TABLES_WITH_CONTEXT, lookback),\n ttl,\n config.logger,\n );\n return { serviceNames: values };\n}\n\nexport async function getEnvironments(\n client: DbClient,\n schema: string,\n _args: GetEnvironmentsArgs,\n config: DiscoveryConfig,\n): Promise {\n const ttl = config.ttlSeconds ?? DEFAULT_TTL_SECONDS;\n const lookback = config.lookbackSeconds ?? DEFAULT_LOOKBACK_SECONDS;\n const values = await readWithRefresh(\n client,\n schema,\n 'environments',\n () => distinctAcrossTables(client, schema, 'environment', SIGNAL_TABLES_WITH_CONTEXT, lookback),\n ttl,\n config.logger,\n );\n return { environments: values };\n}\n\nexport async function getTags(\n client: DbClient,\n schema: string,\n args: GetTagsArgs,\n config: DiscoveryConfig,\n): Promise {\n const ttl = config.ttlSeconds ?? DEFAULT_TTL_SECONDS;\n const lookback = config.lookbackSeconds ?? DEFAULT_LOOKBACK_SECONDS;\n const cacheKey = args.entityType ? `tags:${args.entityType}` : 'tags';\n\n const refresh = async (): Promise => {\n const filter = args.entityType ? `AND \"entityType\" = $1` : '';\n const params = args.entityType ? [args.entityType] : [];\n const unions = ENTITY_DISCOVERY_TABLES.map(\n t =>\n `SELECT DISTINCT UNNEST(\"tags\") AS v FROM ${qualifiedTable(schema, t)} WHERE array_length(\"tags\", 1) > 0 ${filter} ${lookbackPredicate(t, lookback)}`,\n ).join(' UNION ');\n const rows = await client.manyOrNone<{ v: string }>(\n `SELECT v FROM (${unions}) sub WHERE v IS NOT NULL AND v <> '' ORDER BY v`,\n params,\n );\n return rows.map(r => r.v);\n };\n\n const values = await readWithRefresh(client, schema, cacheKey, refresh, ttl, config.logger);\n return { tags: values };\n}\n\nexport async function getMetricNames(\n client: DbClient,\n schema: string,\n args: GetMetricNamesArgs,\n config: DiscoveryConfig,\n): Promise {\n const ttl = config.ttlSeconds ?? DEFAULT_TTL_SECONDS;\n const lookback = config.lookbackSeconds ?? DEFAULT_LOOKBACK_SECONDS;\n const values = await readWithRefresh(\n client,\n schema,\n 'metric_names',\n async () => {\n const rows = await client.manyOrNone<{ v: string }>(\n `SELECT DISTINCT \"name\" AS v FROM ${qualifiedTable(schema, TABLE_METRIC_EVENTS)}\n WHERE \"name\" IS NOT NULL AND \"name\" <> '' ${lookbackPredicate(TABLE_METRIC_EVENTS, lookback)} ORDER BY \"name\"`,\n );\n return rows.map(r => r.v);\n },\n ttl,\n config.logger,\n );\n let filtered = values;\n if (args.prefix) filtered = filtered.filter(v => v.startsWith(args.prefix!));\n if (args.limit) filtered = filtered.slice(0, args.limit);\n return { names: filtered };\n}\n\nexport async function getMetricLabelKeys(\n client: DbClient,\n schema: string,\n args: GetMetricLabelKeysArgs,\n config: DiscoveryConfig,\n): Promise {\n const ttl = config.ttlSeconds ?? DEFAULT_TTL_SECONDS;\n const lookback = config.lookbackSeconds ?? DEFAULT_LOOKBACK_SECONDS;\n const cacheKey = `metric_label_keys:${args.metricName}`;\n const values = await readWithRefresh(\n client,\n schema,\n cacheKey,\n async () => {\n const rows = await client.manyOrNone<{ v: string }>(\n `SELECT DISTINCT k AS v\n FROM ${qualifiedTable(schema, TABLE_METRIC_EVENTS)}, jsonb_object_keys(\"labels\") k\n WHERE \"name\" = $1 ${lookbackPredicate(TABLE_METRIC_EVENTS, lookback)} ORDER BY k`,\n [args.metricName],\n );\n return rows.map(r => r.v);\n },\n ttl,\n config.logger,\n );\n return { keys: values };\n}\n\nexport async function getMetricLabelValues(\n client: DbClient,\n schema: string,\n args: GetMetricLabelValuesArgs,\n config: DiscoveryConfig,\n): Promise {\n const ttl = config.ttlSeconds ?? DEFAULT_TTL_SECONDS;\n const lookback = config.lookbackSeconds ?? DEFAULT_LOOKBACK_SECONDS;\n const cacheKey = `metric_label_values:${args.metricName}:${args.labelKey}`;\n const values = await readWithRefresh(\n client,\n schema,\n cacheKey,\n async () => {\n const rows = await client.manyOrNone<{ v: string }>(\n `SELECT DISTINCT \"labels\" ->> $2 AS v\n FROM ${qualifiedTable(schema, TABLE_METRIC_EVENTS)}\n WHERE \"name\" = $1 AND \"labels\" ? $2 ${lookbackPredicate(TABLE_METRIC_EVENTS, lookback)}\n ORDER BY v`,\n [args.metricName, args.labelKey],\n );\n return rows.map(r => r.v).filter(v => v != null && v !== '');\n },\n ttl,\n config.logger,\n );\n let filtered = values;\n if (args.prefix) filtered = filtered.filter(v => v.startsWith(args.prefix!));\n if (args.limit) filtered = filtered.slice(0, args.limit);\n return { values: filtered };\n}\n\n/**\n * Force-refresh the six unscoped discovery cache keys: `entity_types`,\n * `entity_names`, `service_names`, `environments`, `tags`, and\n * `metric_names`. Scoped keys (`entity_names:`,\n * `tags:`, `metric_label_keys:`,\n * `metric_label_values::`) are not touched here — they refresh\n * lazily on read against their own keys.\n *\n * Intended for the future `mastra observability discovery refresh` CLI\n * command.\n */\nexport async function refreshAllDiscoveryCaches(\n client: DbClient,\n schema: string,\n config: DiscoveryConfig,\n): Promise {\n await Promise.all([\n getEntityTypes(client, schema, {}, { ...config, ttlSeconds: 0 }),\n getEntityNames(client, schema, {}, { ...config, ttlSeconds: 0 }),\n getServiceNames(client, schema, {}, { ...config, ttlSeconds: 0 }),\n getEnvironments(client, schema, {}, { ...config, ttlSeconds: 0 }),\n getTags(client, schema, {}, { ...config, ttlSeconds: 0 }),\n getMetricNames(client, schema, {}, { ...config, ttlSeconds: 0 }),\n ]);\n}\n","/**\n * Shared WHERE-clause builder for the v-next Postgres observability domain.\n *\n * Translates the cross-signal `commonFilterFields` (defined in\n * @internal/core/storage/shared) into parameterized SQL conditions.\n * Signal-specific extensions (e.g. log `level`, metric `name`,\n * trace `status`) are added by the caller.\n */\n\nexport interface FilterAccumulator {\n conditions: string[];\n params: unknown[];\n /** Next bind index. Mutates as conditions are pushed. */\n next: number;\n}\n\nexport function newFilterAccumulator(startIndex = 1): FilterAccumulator {\n return { conditions: [], params: [], next: startIndex };\n}\n\nfunction pushEq(acc: FilterAccumulator, column: string, value: unknown, prefix = ''): void {\n if (value === undefined) return;\n acc.conditions.push(`${prefix}\"${column}\" = $${acc.next++}`);\n acc.params.push(value);\n}\n\nfunction pushIn(acc: FilterAccumulator, column: string, values: readonly unknown[], prefix = ''): void {\n if (!values.length) return;\n const placeholders = values.map(() => `$${acc.next++}`).join(', ');\n acc.conditions.push(`${prefix}\"${column}\" IN (${placeholders})`);\n acc.params.push(...values);\n}\n\n/**\n * Apply common filter fields (shared across logs / metrics / scores / feedback).\n * `timestampColumn` allows the caller to use a different time column name on\n * tables where the time column is not literally `timestamp` (the tracing\n * tables use `endedAt`).\n */\nexport function applyCommonFilters(\n acc: FilterAccumulator,\n filters: Record | undefined,\n options: { timestampColumn?: string; prefix?: string } = {},\n): void {\n if (!filters) return;\n const tsCol = options.timestampColumn ?? 'timestamp';\n const prefix = options.prefix ?? '';\n\n if (filters.timestamp?.start) {\n const op = filters.timestamp.startExclusive ? '>' : '>=';\n acc.conditions.push(`${prefix}\"${tsCol}\" ${op} $${acc.next++}`);\n acc.params.push(filters.timestamp.start.toISOString());\n }\n if (filters.timestamp?.end) {\n const op = filters.timestamp.endExclusive ? '<' : '<=';\n acc.conditions.push(`${prefix}\"${tsCol}\" ${op} $${acc.next++}`);\n acc.params.push(filters.timestamp.end.toISOString());\n }\n pushEq(acc, 'traceId', filters.traceId, prefix);\n pushEq(acc, 'spanId', filters.spanId, prefix);\n pushEq(acc, 'entityType', filters.entityType, prefix);\n pushEq(acc, 'entityName', filters.entityName, prefix);\n pushEq(acc, 'entityVersionId', filters.entityVersionId, prefix);\n pushEq(acc, 'parentEntityType', filters.parentEntityType, prefix);\n pushEq(acc, 'parentEntityName', filters.parentEntityName, prefix);\n pushEq(acc, 'parentEntityVersionId', filters.parentEntityVersionId, prefix);\n pushEq(acc, 'rootEntityType', filters.rootEntityType, prefix);\n pushEq(acc, 'rootEntityName', filters.rootEntityName, prefix);\n pushEq(acc, 'rootEntityVersionId', filters.rootEntityVersionId, prefix);\n pushEq(acc, 'userId', filters.userId, prefix);\n pushEq(acc, 'organizationId', filters.organizationId, prefix);\n pushEq(acc, 'resourceId', filters.resourceId, prefix);\n pushEq(acc, 'runId', filters.runId, prefix);\n pushEq(acc, 'sessionId', filters.sessionId, prefix);\n pushEq(acc, 'threadId', filters.threadId, prefix);\n pushEq(acc, 'requestId', filters.requestId, prefix);\n pushEq(acc, 'experimentId', filters.experimentId, prefix);\n pushEq(acc, 'environment', filters.environment, prefix);\n pushEq(acc, 'serviceName', filters.serviceName, prefix);\n // `source` is the deprecated legacy field name across logs / metrics /\n // scores / feedback. New code should set `executionSource`; we accept\n // both at the storage layer so old callers keep working. `executionSource`\n // wins when both are set.\n pushEq(acc, 'executionSource', filters.executionSource ?? filters.source, prefix);\n\n if (filters.tags != null && Array.isArray(filters.tags) && filters.tags.length > 0) {\n acc.conditions.push(`${prefix}\"tags\" @> $${acc.next++}::text[]`);\n acc.params.push(filters.tags);\n }\n}\n\n/** Single-value or array-of-values equality filter (e.g. logs.level, metrics.name). */\nexport function applySingleOrArrayFilter(\n acc: FilterAccumulator,\n column: string,\n value: string | string[] | undefined,\n prefix = '',\n): void {\n if (value === undefined) return;\n if (Array.isArray(value)) {\n pushIn(acc, column, value, prefix);\n } else {\n pushEq(acc, column, value, prefix);\n }\n}\n\nexport function whereOrEmpty(acc: FilterAccumulator): string {\n return acc.conditions.length ? `WHERE ${acc.conditions.join(' AND ')}` : '';\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport type { FeedbackReviewStatus, UpdateFeedbackReviewStatusArgs } from '@mastra/core/storage';\n\n// Local mirror of `feedbackReviewStatusSchema` / `updateFeedbackReviewStatusArgsSchema`\n// from `@mastra/core/storage`: this package's `@mastra/core` peer floor predates those\n// exports and the core-imports check forbids value imports newer than the floor.\n// Keep in sync with core.\nconst FEEDBACK_REVIEW_STATUSES: readonly FeedbackReviewStatus[] = ['needs-review', 'reviewed'];\n\nfunction isFeedbackReviewStatus(value: unknown): value is FeedbackReviewStatus {\n return FEEDBACK_REVIEW_STATUSES.some(status => status === value);\n}\n\n/** Normalize a stored value to a review status, defaulting legacy/unknown values to `needs-review`. */\nexport function coerceFeedbackReviewStatus(value: unknown): FeedbackReviewStatus {\n return isFeedbackReviewStatus(value) ? value : 'needs-review';\n}\n\nexport function parseUpdateFeedbackReviewStatusArgs(\n args: UpdateFeedbackReviewStatusArgs,\n): UpdateFeedbackReviewStatusArgs {\n const invalid = (text: string) =>\n new MastraError({\n id: 'OBSERVABILITY_UPDATE_FEEDBACK_REVIEW_STATUS_INVALID_ARGS',\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text,\n });\n if (typeof args !== 'object' || args === null) {\n throw invalid('args must be an object');\n }\n if (typeof args.feedbackId !== 'string' || args.feedbackId.length === 0) {\n throw invalid('feedbackId is required');\n }\n if (!isFeedbackReviewStatus(args.reviewStatus)) {\n throw invalid(`reviewStatus must be one of: ${FEEDBACK_REVIEW_STATUSES.join(', ')}`);\n }\n return { feedbackId: args.feedbackId, reviewStatus: args.reviewStatus };\n}\n","/**\n * Shared utilities for the Postgres v-next observability domain.\n *\n * Differences from the ClickHouse v-next helpers:\n * - jsonb columns are passed through as native objects/arrays. No\n * JSON.stringify on the way in or JSON.parse on the way out.\n * - text[] columns are passed as native arrays.\n * - Timestamps are sent as ISO strings; the pg driver coerces them.\n */\n\nimport type {\n CreateFeedbackRecord,\n CreateLogRecord,\n CreateMetricRecord,\n CreateScoreRecord,\n CreateSpanRecord,\n FeedbackRecord,\n LightSpanRecord,\n LogRecord,\n MetricRecord,\n ScoreRecord,\n SpanRecord,\n} from '@mastra/core/storage';\nimport { EntityType } from '@mastra/core/storage';\nimport { coerceFeedbackReviewStatus } from './review-status';\n\nconst PROMOTED_KEYS = new Set([\n 'experimentId',\n 'entityType',\n 'entityId',\n 'entityName',\n 'entityVersionId',\n 'parentEntityVersionId',\n 'rootEntityVersionId',\n 'userId',\n 'organizationId',\n 'resourceId',\n 'runId',\n 'sessionId',\n 'threadId',\n 'requestId',\n 'environment',\n 'executionSource',\n 'serviceName',\n]);\n\nfunction nullableString(value: unknown): string | null {\n if (typeof value === 'string') return value === '' ? null : value;\n if (value == null) return null;\n return String(value);\n}\n\nfunction nullableEntityType(value: unknown): EntityType | null {\n const normalized = nullableString(value);\n if (!normalized) return null;\n return Object.values(EntityType).includes(normalized as EntityType) ? (normalized as EntityType) : null;\n}\n\nexport function normalizeTags(tags: unknown): string[] {\n if (!Array.isArray(tags)) return [];\n const seen = new Set();\n const result: string[] = [];\n for (const t of tags) {\n if (typeof t !== 'string') continue;\n const trimmed = t.trim();\n if (trimmed === '' || seen.has(trimmed)) continue;\n seen.add(trimmed);\n result.push(trimmed);\n }\n return result;\n}\n\nexport function normalizeLabels(labels: Record | null | undefined): Record {\n if (labels == null || typeof labels !== 'object') return {};\n const result: Record = {};\n for (const [k, v] of Object.entries(labels)) {\n if (typeof v !== 'string') continue;\n const trimmedK = k.trim();\n const trimmedV = v.trim();\n if (trimmedK === '' || trimmedV === '') continue;\n result[trimmedK] = trimmedV;\n }\n return result;\n}\n\nexport function buildMetadataSearch(metadata: Record | null | undefined): Record {\n if (metadata == null || typeof metadata !== 'object') return {};\n const result: Record = {};\n for (const [k, v] of Object.entries(metadata)) {\n if (PROMOTED_KEYS.has(k)) continue;\n if (typeof v !== 'string') continue;\n const trimmed = v.trim();\n if (trimmed === '') continue;\n result[k] = trimmed;\n }\n return result;\n}\n\nexport function toDate(value: unknown): Date {\n if (value instanceof Date) return value;\n if (value == null || value === '') throw new Error(`Invalid date: ${String(value)}`);\n const d = new Date(value as string | number);\n if (isNaN(d.getTime())) throw new Error(`Invalid date: ${String(value)}`);\n return d;\n}\n\nexport function toDateOrNull(value: unknown): Date | null {\n if (value == null || value === '') return null;\n if (value instanceof Date) return value;\n const d = new Date(value as string | number);\n if (isNaN(d.getTime())) return null;\n return d;\n}\n\nexport function toIsoOrDate(value: Date | number | string): Date | string {\n if (value instanceof Date) return value;\n if (typeof value === 'number') return new Date(value);\n return value;\n}\n\n/** Pass-through for jsonb. Postgres driver does the encoding when given an object. */\nfunction jsonField(value: unknown): unknown {\n if (value === undefined) return null;\n return value;\n}\n\nfunction parsedJson(value: unknown): unknown {\n // The pg driver decodes jsonb columns into native JS values (objects, arrays,\n // strings, numbers, booleans). Every caller here reads a jsonb column, so the\n // value is already final. Re-parsing a decoded string would drop plain strings\n // (JSON.parse('hello') throws) and coerce JSON-looking strings ('123' -> 123),\n // so return the value unchanged, normalizing null/undefined to undefined.\n if (value == null) return undefined;\n return value;\n}\n\n// ---------------------------------------------------------------------------\n// Common context — the ~23 identity / hierarchy / execution-context columns\n// every signal carries. Extracted so each per-signal converter stays focused\n// on its signal-specific fields.\n//\n// `traceId` / `spanId` are intentionally excluded: spans treat them as\n// non-null required, while scores / feedback have a legacy `string`-not-\n// nullable type even though the column is actually nullable. Both cases need\n// per-signal handling.\n//\n// Spans use `source` in the record but `executionSource` in the row. The\n// write helper accepts either; the read helper returns `executionSource` and\n// callers that need `source` (i.e. spans) destructure-and-rename.\n// ---------------------------------------------------------------------------\n\nfunction rowToCommonContext(row: Record) {\n return {\n experimentId: nullableString(row.experimentId),\n entityType: nullableEntityType(row.entityType),\n entityId: nullableString(row.entityId),\n entityName: nullableString(row.entityName),\n entityVersionId: nullableString(row.entityVersionId),\n parentEntityType: nullableEntityType(row.parentEntityType),\n parentEntityId: nullableString(row.parentEntityId),\n parentEntityName: nullableString(row.parentEntityName),\n parentEntityVersionId: nullableString(row.parentEntityVersionId),\n rootEntityType: nullableEntityType(row.rootEntityType),\n rootEntityId: nullableString(row.rootEntityId),\n rootEntityName: nullableString(row.rootEntityName),\n rootEntityVersionId: nullableString(row.rootEntityVersionId),\n userId: nullableString(row.userId),\n organizationId: nullableString(row.organizationId),\n resourceId: nullableString(row.resourceId),\n runId: nullableString(row.runId),\n sessionId: nullableString(row.sessionId),\n threadId: nullableString(row.threadId),\n requestId: nullableString(row.requestId),\n environment: nullableString(row.environment),\n executionSource: nullableString(row.executionSource),\n serviceName: nullableString(row.serviceName),\n };\n}\n\ninterface CommonContextWritable {\n experimentId?: string | null;\n entityType?: EntityType | null;\n entityId?: string | null;\n entityName?: string | null;\n entityVersionId?: string | null;\n parentEntityType?: EntityType | null;\n parentEntityId?: string | null;\n parentEntityName?: string | null;\n parentEntityVersionId?: string | null;\n rootEntityType?: EntityType | null;\n rootEntityId?: string | null;\n rootEntityName?: string | null;\n rootEntityVersionId?: string | null;\n userId?: string | null;\n organizationId?: string | null;\n resourceId?: string | null;\n runId?: string | null;\n sessionId?: string | null;\n threadId?: string | null;\n requestId?: string | null;\n environment?: string | null;\n /** Preferred field; the legacy `source` is accepted as a fallback (used by spans). */\n executionSource?: string | null;\n source?: string | null;\n serviceName?: string | null;\n}\n\nfunction commonContextToRow(record: CommonContextWritable): Record {\n return {\n experimentId: record.experimentId ?? null,\n entityType: record.entityType ?? null,\n entityId: record.entityId ?? null,\n entityName: record.entityName ?? null,\n entityVersionId: record.entityVersionId ?? null,\n parentEntityType: record.parentEntityType ?? null,\n parentEntityId: record.parentEntityId ?? null,\n parentEntityName: record.parentEntityName ?? null,\n parentEntityVersionId: record.parentEntityVersionId ?? null,\n rootEntityType: record.rootEntityType ?? null,\n rootEntityId: record.rootEntityId ?? null,\n rootEntityName: record.rootEntityName ?? null,\n rootEntityVersionId: record.rootEntityVersionId ?? null,\n userId: record.userId ?? null,\n organizationId: record.organizationId ?? null,\n resourceId: record.resourceId ?? null,\n runId: record.runId ?? null,\n sessionId: record.sessionId ?? null,\n threadId: record.threadId ?? null,\n requestId: record.requestId ?? null,\n environment: record.environment ?? null,\n executionSource: record.executionSource ?? record.source ?? null,\n serviceName: record.serviceName ?? null,\n };\n}\n\n// ---------------------------------------------------------------------------\n// Span ↔ row\n// ---------------------------------------------------------------------------\n\nexport function spanRecordToRow(span: CreateSpanRecord): Record {\n // `endedAt` is both a primary key and a partition key column, so a span that\n // has started but not ended still needs a value there. Synthesize it from\n // `startedAt` and record the real state in `isPending`, which the read path\n // maps back to a null `endedAt`.\n const isPending = !span.isEvent && span.endedAt == null;\n const endedAt = span.isEvent ? span.startedAt : (span.endedAt ?? span.startedAt);\n const metadata = span.metadata ?? null;\n return {\n ...commonContextToRow(span),\n traceId: span.traceId,\n spanId: span.spanId,\n parentSpanId: span.parentSpanId ?? null,\n name: span.name,\n spanType: span.spanType,\n isEvent: Boolean(span.isEvent),\n isPending,\n startedAt: toIsoOrDate(span.startedAt),\n endedAt: toIsoOrDate(endedAt),\n tags: normalizeTags(span.tags),\n metadataSearch: buildMetadataSearch(metadata as Record | null),\n metadataRaw: jsonField(metadata),\n scope: jsonField(span.scope),\n attributes: jsonField(span.attributes),\n links: jsonField(span.links),\n input: jsonField(span.input),\n output: jsonField(span.output),\n error: jsonField(span.error),\n requestContext: jsonField(span.requestContext),\n };\n}\n\n/**\n * Recover a span's real `endedAt` from its row. A pending row carries a\n * synthesized `endedAt` (a copy of `startedAt`) because the column is part of\n * the primary key; callers must see null so the span reads as still running.\n */\nfunction spanRowEndedAt(row: Record, startedAt: Date): Date | null {\n if (row.isEvent) return startedAt;\n if (row.isPending) return null;\n return toDateOrNull(row.endedAt);\n}\n\nexport function rowToSpanRecord(row: Record): SpanRecord {\n const startedAt = toDate(row.startedAt);\n const endedAt = spanRowEndedAt(row, startedAt);\n const error = parsedJson(row.error);\n // Spans expose the row's `executionSource` column as `source` on the record.\n const { executionSource, ...ctx } = rowToCommonContext(row);\n return {\n ...ctx,\n source: executionSource,\n traceId: row.traceId,\n spanId: row.spanId,\n parentSpanId: nullableString(row.parentSpanId),\n name: row.name,\n spanType: row.spanType,\n isEvent: Boolean(row.isEvent),\n startedAt,\n endedAt,\n tags: normalizeTags(row.tags),\n metadata: (parsedJson(row.metadataRaw) as Record | null) ?? undefined,\n scope: (parsedJson(row.scope) as Record | null) ?? undefined,\n attributes: (parsedJson(row.attributes) as Record | null) ?? undefined,\n links: (parsedJson(row.links) as Record[] | null) ?? undefined,\n input: parsedJson(row.input) ?? undefined,\n output: parsedJson(row.output) ?? undefined,\n error: error ?? undefined,\n requestContext: (parsedJson(row.requestContext) as Record | null) ?? undefined,\n createdAt: startedAt,\n updatedAt: null,\n };\n}\n\n/**\n * Build a {@link LightSpanRecord} from a row that projected only the light\n * column set (see `SPAN_LIGHT_SELECT_COLUMNS` in sql.ts). Used by\n * `getTraceLight` — the timeline view doesn't need the full span payload.\n */\nexport function rowToLightSpanRecord(row: Record): LightSpanRecord {\n const startedAt = toDate(row.startedAt);\n const endedAt = spanRowEndedAt(row, startedAt);\n return {\n traceId: row.traceId,\n spanId: row.spanId,\n parentSpanId: row.parentSpanId == null || row.parentSpanId === '' ? null : String(row.parentSpanId),\n name: row.name,\n spanType: row.spanType,\n isEvent: Boolean(row.isEvent),\n startedAt,\n endedAt,\n entityType:\n row.entityType == null || row.entityType === ''\n ? null\n : Object.values(EntityType).includes(row.entityType as EntityType)\n ? (row.entityType as EntityType)\n : null,\n entityId: row.entityId == null || row.entityId === '' ? null : String(row.entityId),\n entityName: row.entityName == null || row.entityName === '' ? null : String(row.entityName),\n error: (parsedJson(row.error) as Record | null) ?? undefined,\n createdAt: startedAt,\n updatedAt: null,\n };\n}\n\n// ---------------------------------------------------------------------------\n// Log ↔ row\n// ---------------------------------------------------------------------------\n\nexport function logRecordToRow(log: CreateLogRecord): Record {\n return {\n ...commonContextToRow(log),\n logId: log.logId,\n timestamp: toIsoOrDate(log.timestamp),\n level: log.level,\n message: log.message,\n data: jsonField(log.data),\n traceId: log.traceId ?? null,\n spanId: log.spanId ?? null,\n tags: normalizeTags(log.tags),\n metadata: jsonField(log.metadata),\n scope: jsonField(log.scope),\n };\n}\n\nexport function rowToLogRecord(row: Record): LogRecord {\n return {\n ...rowToCommonContext(row),\n logId: row.logId,\n timestamp: toDate(row.timestamp),\n level: row.level,\n message: row.message,\n data: (parsedJson(row.data) as Record | null) ?? undefined,\n traceId: nullableString(row.traceId),\n spanId: nullableString(row.spanId),\n tags: normalizeTags(row.tags),\n metadata: (parsedJson(row.metadata) as Record | null) ?? undefined,\n scope: (parsedJson(row.scope) as Record | null) ?? undefined,\n };\n}\n\n// ---------------------------------------------------------------------------\n// Metric ↔ row\n// ---------------------------------------------------------------------------\n\nexport function metricRecordToRow(metric: CreateMetricRecord): Record {\n return {\n ...commonContextToRow(metric),\n metricId: metric.metricId,\n timestamp: toIsoOrDate(metric.timestamp),\n name: metric.name,\n value: metric.value,\n traceId: metric.traceId ?? null,\n spanId: metric.spanId ?? null,\n provider: metric.provider ?? null,\n model: metric.model ?? null,\n estimatedCost: metric.estimatedCost ?? null,\n costUnit: metric.costUnit ?? null,\n tags: normalizeTags(metric.tags),\n labels: normalizeLabels(metric.labels),\n costMetadata: jsonField(metric.costMetadata),\n metadata: jsonField(metric.metadata),\n scope: jsonField(metric.scope),\n };\n}\n\nexport function rowToMetricRecord(row: Record): MetricRecord {\n return {\n ...rowToCommonContext(row),\n metricId: row.metricId,\n timestamp: toDate(row.timestamp),\n name: row.name,\n value: Number(row.value),\n traceId: nullableString(row.traceId),\n spanId: nullableString(row.spanId),\n provider: nullableString(row.provider),\n model: nullableString(row.model),\n estimatedCost: row.estimatedCost == null ? undefined : Number(row.estimatedCost),\n costUnit: nullableString(row.costUnit),\n costMetadata: (parsedJson(row.costMetadata) as Record | null) ?? undefined,\n tags: normalizeTags(row.tags),\n labels: normalizeLabels(row.labels as Record | null | undefined),\n metadata: (parsedJson(row.metadata) as Record | null) ?? undefined,\n scope: (parsedJson(row.scope) as Record | null) ?? undefined,\n };\n}\n\n// ---------------------------------------------------------------------------\n// Score ↔ row\n// ---------------------------------------------------------------------------\n\nexport function scoreRecordToRow(score: CreateScoreRecord): Record {\n const metadata = score.metadata ?? null;\n const scoreSource = score.scoreSource ?? score.source ?? null;\n return {\n ...commonContextToRow(score),\n scoreId: score.scoreId,\n timestamp: toIsoOrDate(score.timestamp),\n traceId: score.traceId ?? null,\n spanId: score.spanId ?? null,\n scoreTraceId: score.scoreTraceId ?? null,\n scorerId: score.scorerId,\n scorerVersion: score.scorerVersion ?? null,\n scoreSource,\n score: score.score,\n reason: score.reason ?? null,\n tags: normalizeTags(score.tags),\n metadata: jsonField(metadata),\n scope: jsonField(score.scope),\n };\n}\n\nexport function rowToScoreRecord(row: Record): ScoreRecord {\n return {\n ...rowToCommonContext(row),\n scoreId: row.scoreId,\n timestamp: toDate(row.timestamp),\n // Legacy schema types traceId as required string even though the column is nullable.\n traceId: nullableString(row.traceId) as ScoreRecord['traceId'],\n spanId: nullableString(row.spanId),\n scoreTraceId: nullableString(row.scoreTraceId),\n scorerId: row.scorerId,\n scorerVersion: nullableString(row.scorerVersion),\n scoreSource: nullableString(row.scoreSource),\n score: Number(row.score),\n reason: nullableString(row.reason),\n tags: normalizeTags(row.tags),\n metadata: (parsedJson(row.metadata) as Record | null) ?? undefined,\n scope: (parsedJson(row.scope) as Record | null) ?? undefined,\n };\n}\n\n// ---------------------------------------------------------------------------\n// Feedback ↔ row\n// ---------------------------------------------------------------------------\n\nexport function feedbackRecordToRow(feedback: CreateFeedbackRecord): Record {\n const metadata = feedback.metadata ?? null;\n const feedbackSource = feedback.feedbackSource ?? feedback.source ?? '';\n // userId (app user, via commonContextToRow) and feedbackUserId (evaluator)\n // are distinct fields on FeedbackRecord. Legacy `FeedbackInput.userId` →\n // `feedbackUserId` aliasing is handled by `normalizeLegacyFeedbackActor`\n // at the schema layer, so the helper writes each through unchanged.\n return {\n ...commonContextToRow(feedback),\n feedbackId: feedback.feedbackId,\n timestamp: toIsoOrDate(feedback.timestamp),\n traceId: feedback.traceId ?? null,\n spanId: feedback.spanId ?? null,\n feedbackUserId: feedback.feedbackUserId ?? null,\n sourceId: feedback.sourceId ?? null,\n reviewStatus: feedback.reviewStatus ?? 'needs-review',\n feedbackSource,\n feedbackType: feedback.feedbackType,\n valueString: typeof feedback.value === 'string' ? feedback.value : null,\n valueNumber: typeof feedback.value === 'number' ? feedback.value : null,\n comment: feedback.comment ?? null,\n tags: normalizeTags(feedback.tags),\n metadata: jsonField(metadata),\n scope: jsonField(feedback.scope),\n };\n}\n\nexport function rowToFeedbackRecord(row: Record): FeedbackRecord {\n const hasNumber = row.valueNumber != null;\n const feedbackSource = nullableString(row.feedbackSource);\n return {\n ...rowToCommonContext(row),\n feedbackId: row.feedbackId,\n timestamp: toDate(row.timestamp),\n // Legacy schema types traceId as required string even though the column is nullable.\n traceId: nullableString(row.traceId) as FeedbackRecord['traceId'],\n spanId: nullableString(row.spanId),\n feedbackUserId: nullableString(row.feedbackUserId),\n sourceId: nullableString(row.sourceId),\n reviewStatus: coerceFeedbackReviewStatus(row.reviewStatus),\n feedbackSource,\n feedbackType: row.feedbackType,\n value: hasNumber ? Number(row.valueNumber) : (nullableString(row.valueString) ?? ''),\n comment: nullableString(row.comment),\n tags: normalizeTags(row.tags),\n metadata: (parsedJson(row.metadata) as Record | null) ?? undefined,\n scope: (parsedJson(row.scope) as Record | null) ?? undefined,\n };\n}\n","/**\n * Delta-polling helpers for the v-next Postgres observability domain.\n *\n * Cursor model\n * ------------\n * Each signal table stores both:\n * - `xactId xid8 DEFAULT pg_current_xact_id()`\n * - `cursorId bigserial`\n *\n * `bigserial` values are allocated before commit, so a later `cursorId` can\n * become visible before an earlier one. Delta reads therefore order by the\n * pair `(xactId, cursorId)` and cap reads at PostgreSQL's safe transaction\n * horizon: `pg_snapshot_xmin(pg_current_snapshot())`. Rows with `xactId`\n * below that horizon cannot still be in flight, so advancing the cursor there\n * cannot skip a late-committing row.\n */\n\nimport { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport { coreFeatures } from '@mastra/core/features';\nimport type { DbClient } from '../../../client';\n\nexport const OBSERVABILITY_DELTA_POLLING_FEATURE = 'observability-delta-polling';\n\nexport function deltaPollingFeatureEnabled(): boolean {\n return coreFeatures.has(OBSERVABILITY_DELTA_POLLING_FEATURE);\n}\n\nexport function assertDeltaPollingEnabled(): void {\n if (deltaPollingFeatureEnabled()) return;\n throw new MastraError({\n id: 'OBSERVABILITY_DELTA_POLLING_NOT_SUPPORTED',\n domain: ErrorDomain.MASTRA_OBSERVABILITY,\n category: ErrorCategory.SYSTEM,\n text: 'This storage provider does not support observability delta polling',\n });\n}\n\n/**\n * Postgres `bigint` upper bound (2^63 - 1). The cursor goes into a\n * `$N::bigint` cast server-side; values above this overflow and fail with\n * \"value out of range\" before the query even runs.\n */\nconst PG_BIGINT_MAX = 9223372036854775807n;\n\nexport interface DeltaCursorParts {\n xactId: string;\n cursorId: string;\n}\n\nfunction invalidDeltaCursor(): never {\n throw new MastraError({\n id: 'OBSERVABILITY_INVALID_DELTA_CURSOR',\n domain: ErrorDomain.MASTRA_OBSERVABILITY,\n category: ErrorCategory.USER,\n text: 'Invalid observability delta cursor',\n });\n}\n\nfunction validatePgInteger(value: string): string {\n if (!/^\\d+$/.test(value)) {\n invalidDeltaCursor();\n }\n let parsed: bigint;\n try {\n parsed = BigInt(value);\n } catch {\n invalidDeltaCursor();\n }\n if (parsed < 0n || parsed > PG_BIGINT_MAX) {\n invalidDeltaCursor();\n }\n return value;\n}\n\nexport function encodeDeltaCursor(xactId: unknown, cursorId: unknown = 0): string {\n return `${validatePgInteger(String(xactId ?? 0))}:${validatePgInteger(String(cursorId ?? 0))}`;\n}\n\nexport function decodeDeltaCursor(cursor: string): DeltaCursorParts {\n const parts = cursor.split(':');\n if (parts.length !== 2) {\n invalidDeltaCursor();\n }\n return {\n xactId: validatePgInteger(parts[0]!),\n cursorId: validatePgInteger(parts[1]!),\n };\n}\n\nexport async function readSafeXactHorizon(client: DbClient): Promise {\n const row = await client.one<{ xactId: string }>(`SELECT pg_snapshot_xmin(pg_current_snapshot())::text AS \"xactId\"`);\n return validatePgInteger(row.xactId);\n}\n","import { parseSqlIdentifier } from '@mastra/core/utils';\n\nimport type { DbClient } from '../../../client';\nimport type { FilterAccumulator } from './filters';\nimport { newFilterAccumulator, whereOrEmpty } from './filters';\nimport { decodeDeltaCursor, encodeDeltaCursor, readSafeXactHorizon } from './polling';\n\ntype SortDirection = 'ASC' | 'DESC';\n\ntype SignalItems = Record;\n\ninterface SignalListConfig {\n client: DbClient;\n table: string;\n filters: Filters;\n selectColumns: string;\n responseKey: Key;\n applyFilters: (acc: FilterAccumulator, filters: Filters) => void;\n mapRow: (row: Row) => Item;\n}\n\nfunction responseItems(key: Key, items: Item[]): SignalItems {\n return { [key]: items } as SignalItems;\n}\n\nexport async function readSignalStreamHeadCursor({\n client,\n table,\n filters,\n applyFilters,\n}: Pick<\n SignalListConfig,\n 'client' | 'table' | 'filters' | 'applyFilters'\n>): Promise {\n void table;\n void filters;\n void applyFilters;\n return encodeDeltaCursor(await readSafeXactHorizon(client), 0);\n}\n\nexport async function listSignalPage<\n Filters,\n Row extends { cursorId?: unknown; xactId?: unknown },\n Item,\n Key extends string,\n>(\n config: SignalListConfig & {\n page: number;\n perPage: number;\n orderField: string;\n orderDir: SortDirection;\n includeDeltaCursor: boolean;\n },\n): Promise<\n {\n pagination: { total: number; page: number; perPage: number; hasMore: boolean };\n deltaCursor?: string;\n } & SignalItems\n> {\n const {\n client,\n table,\n filters,\n selectColumns,\n responseKey,\n applyFilters,\n mapRow,\n page,\n perPage,\n orderField,\n orderDir,\n } = config;\n\n const acc = newFilterAccumulator();\n applyFilters(acc, filters);\n const whereClause = whereOrEmpty(acc);\n\n const countRow = await client.oneOrNone<{ count: string }>(\n `SELECT COUNT(*)::text AS count FROM ${table} ${whereClause}`,\n acc.params,\n );\n const total = Number(countRow?.count ?? 0);\n\n let items: Item[] = [];\n if (total > 0) {\n const safeOrderField = parseSqlIdentifier(orderField, 'order field');\n const rows = await client.manyOrNone(\n `SELECT ${selectColumns}\n FROM ${table}\n ${whereClause}\n ORDER BY \"${safeOrderField}\" ${orderDir}, \"cursorId\" ${orderDir}\n LIMIT $${acc.next++} OFFSET $${acc.next++}`,\n [...acc.params, perPage, page * perPage],\n );\n items = rows.map(mapRow);\n }\n\n const deltaCursor = config.includeDeltaCursor\n ? await readSignalStreamHeadCursor({ client, table, filters, applyFilters })\n : undefined;\n\n return {\n pagination: { total, page, perPage, hasMore: (page + 1) * perPage < total },\n ...responseItems(responseKey, items),\n ...(deltaCursor !== undefined ? { deltaCursor } : {}),\n };\n}\n\nexport async function listSignalDelta<\n Filters,\n Row extends { cursorId?: unknown; xactId?: unknown },\n Item,\n Key extends string,\n>(\n config: SignalListConfig & {\n after: string | undefined;\n limit: number;\n },\n): Promise<\n {\n delta: { limit: number; hasMore: boolean };\n deltaCursor: string;\n } & SignalItems\n> {\n const { client, table, filters, selectColumns, responseKey, applyFilters, mapRow, after, limit } = config;\n\n if (after === undefined) {\n const deltaCursor = await readSignalStreamHeadCursor({ client, table, filters, applyFilters });\n return { ...responseItems(responseKey, []), delta: { limit, hasMore: false }, deltaCursor };\n }\n\n const afterCursor = decodeDeltaCursor(after);\n const safeHorizon = await readSafeXactHorizon(client);\n const acc = newFilterAccumulator();\n applyFilters(acc, filters);\n acc.conditions.push(`(\"xactId\", \"cursorId\") > ($${acc.next++}::xid8, $${acc.next++}::bigint)`);\n acc.params.push(afterCursor.xactId, afterCursor.cursorId);\n acc.conditions.push(`\"xactId\" < $${acc.next++}::xid8`);\n acc.params.push(safeHorizon);\n\n const rows = await client.manyOrNone(\n `SELECT ${selectColumns}\n FROM ${table}\n ${whereOrEmpty(acc)}\n ORDER BY \"xactId\" ASC, \"cursorId\" ASC\n LIMIT $${acc.next++}`,\n [...acc.params, limit + 1],\n );\n\n const hasMore = rows.length > limit;\n const visible = rows.slice(0, limit);\n const deltaCursor =\n visible.length > 0\n ? encodeDeltaCursor(visible[visible.length - 1]!.xactId, visible[visible.length - 1]!.cursorId)\n : encodeDeltaCursor(safeHorizon, 0);\n\n return {\n ...responseItems(responseKey, visible.map(mapRow)),\n delta: { limit, hasMore },\n deltaCursor,\n };\n}\n","/**\n * Shared OLAP helpers for the v-next Postgres observability domain.\n *\n * Translates ClickHouse-flavored OLAP idioms (the v-next spec) into Postgres:\n *\n * - `toStartOfInterval(ts, INTERVAL '5 MINUTE')` becomes a portable\n * epoch-floor expression (`to_timestamp(floor(extract(epoch from ts) / N) * N)`)\n * so arbitrary 1m / 5m / 15m / 1h / 1d buckets work without TimescaleDB.\n * On a hypertable Postgres still uses chunk pruning over this expression.\n * - `quantile(p)(value)` becomes `percentile_cont($p) WITHIN GROUP (ORDER BY value)`.\n * - `argMax(value, ts)` (\"last\") becomes `(array_agg(value ORDER BY ts DESC))[1]`.\n * - `sumIf` / `countDistinctIf` use SQL-standard `FILTER (WHERE …)` aggregates.\n *\n * GroupBy resolution mirrors the ClickHouse v-next behavior: typed columns\n * are quoted directly; unknown keys are treated as label / metadata keys and\n * accessed with `jsonb ->>`.\n */\n\nimport { METRIC_DISTINCT_COLUMNS } from '@mastra/core/storage';\nimport type { AggregationInterval, AggregationType, MetricDistinctColumn } from '@mastra/core/storage';\nimport { parseFieldKey } from '@mastra/core/utils';\n\nimport type { FilterAccumulator } from './filters';\n\n/** Subset of the ComparePeriod enum we react to. */\nexport type ComparePeriod = 'previous_period' | 'previous_day' | 'previous_week';\n\n/** Time range slice we reuse from filter args. */\nexport interface PgDateRange {\n start?: Date;\n end?: Date;\n startExclusive?: boolean;\n endExclusive?: boolean;\n}\n\n// ---------------------------------------------------------------------------\n// Bucket / aggregation SQL\n// ---------------------------------------------------------------------------\n\nconst INTERVAL_SECONDS: Record = {\n '1m': 60,\n '5m': 300,\n '15m': 900,\n '1h': 3_600,\n '1d': 86_400,\n};\n\n/**\n * Returns a bucket expression that floors `column` to the start of the\n * requested interval. The expression is portable across Postgres versions\n * and works equally on a Timescale hypertable.\n *\n * Buckets are UTC-aligned (floor of Unix epoch). A `1d` bucket spans\n * `00:00:00Z` → `23:59:59Z`, not local midnight. Charts that need\n * local-day buckets should set the desired offset on the time-range filter\n * rather than expect this helper to honor a session timezone.\n */\nexport function bucketSql(column: string, interval: AggregationInterval): string {\n const seconds = INTERVAL_SECONDS[interval] ?? 3_600;\n // to_timestamp + floor of unix-epoch is exact for all intervals up to 1 day.\n // The result is a timestamptz at UTC, which we render via the standard\n // pg driver (Date object) and pass straight back to clients.\n return `to_timestamp(floor(extract(epoch from ${column}) / ${seconds}) * ${seconds})`;\n}\n\nfunction resolveDistinctColumnSql(distinctColumn: MetricDistinctColumn | undefined): string {\n if (!distinctColumn) {\n throw new Error(`count_distinct aggregation requires a 'distinctColumn' argument`);\n }\n // Defense-in-depth: the schema enum already restricts this, but the value\n // flows into raw SQL so we re-check against the system-level allowlist.\n if (!(METRIC_DISTINCT_COLUMNS as readonly string[]).includes(distinctColumn)) {\n throw new Error(`Invalid distinctColumn: ${distinctColumn}`);\n }\n return `\"${parseFieldKey(distinctColumn)}\"`;\n}\n\n/** SQL aggregate for metric queries, including metric-specific distinct counts. */\nexport function metricAggregationSql(\n agg: AggregationType,\n measure: string,\n timestampColumn = 'timestamp',\n distinctColumn?: MetricDistinctColumn,\n): string {\n if (agg === 'count_distinct') {\n return `COUNT(DISTINCT ${resolveDistinctColumnSql(distinctColumn)})::double precision`;\n }\n return aggregationSql(agg, measure, timestampColumn);\n}\n\n/** SQL aggregate for the standard agg types over a numeric column. */\nexport function aggregationSql(agg: AggregationType, measure: string, timestampColumn = 'timestamp'): string {\n switch (agg) {\n case 'sum':\n return `SUM(${measure})`;\n case 'avg':\n return `AVG(${measure})`;\n case 'min':\n return `MIN(${measure})`;\n case 'max':\n return `MAX(${measure})`;\n case 'count':\n return `COUNT(${measure})::double precision`;\n case 'last':\n // Postgres has no `argMax`. Pull the latest non-null value via array_agg.\n return `(array_agg(${measure} ORDER BY \"${timestampColumn}\" DESC))[1]`;\n default:\n return `SUM(${measure})`;\n }\n}\n\n// ---------------------------------------------------------------------------\n// GroupBy resolution\n// ---------------------------------------------------------------------------\n\nexport interface ResolvedGroupBy {\n /** The key the caller asked for. Echoed back in dimensions. */\n requestedKey: string;\n /** SQL alias used for the column in SELECT / GROUP BY. */\n alias: string;\n /** The select expression (e.g. `\"labels\" ->> $1 AS group_by_0`). */\n selectSql: string;\n /** The bare SQL value expression (used in WHERE for label-exclusion). */\n valueSql: string;\n}\n\n/**\n * Resolves a list of groupBy keys against the set of typed columns for a\n * signal table. Unknown keys are treated as JSONB lookups against\n * `labelsColumn` (default `\"labels\"`) — used by metrics breakdowns.\n *\n * Throws when a key is structurally invalid (not SQL-safe) or matches an\n * excluded column type (jsonb / text[]).\n */\nexport function resolveGroupBy(\n acc: FilterAccumulator,\n groupBy: string[],\n options: {\n typedColumns: Set;\n excludedColumns?: Set;\n labelsColumn?: string;\n },\n): ResolvedGroupBy[] {\n const labelsColumn = options.labelsColumn ?? null;\n const excluded = options.excludedColumns ?? new Set();\n\n return groupBy.map((key, index) => {\n const alias = `group_by_${index}`;\n if (options.typedColumns.has(key)) {\n const parsed = parseFieldKey(key);\n if (excluded.has(parsed)) {\n throw new Error(`Invalid groupBy column(s): ${key}`);\n }\n return {\n requestedKey: key,\n alias,\n selectSql: `\"${parsed}\" AS ${alias}`,\n valueSql: `\"${parsed}\"`,\n };\n }\n if (!labelsColumn) {\n throw new Error(`Invalid groupBy column(s): ${key}`);\n }\n // Treat as a label / metadata key. Bind the key as a parameter; the\n // returned value is text, which we coerce to nullable string in JS.\n const valueSql = `\"${labelsColumn}\" ->> $${acc.next++}`;\n acc.params.push(key);\n return {\n requestedKey: key,\n alias,\n selectSql: `${valueSql} AS ${alias}`,\n valueSql,\n };\n });\n}\n\n/** Adds WHERE clauses that exclude rows missing a requested label key. */\nexport function pushLabelExclusions(acc: FilterAccumulator, resolved: ResolvedGroupBy[]): void {\n for (const entry of resolved) {\n if (entry.valueSql.includes('->>')) {\n acc.conditions.push(`${entry.valueSql} IS NOT NULL`);\n acc.conditions.push(`${entry.valueSql} <> ''`);\n }\n }\n}\n\nexport function dimensionsFromRow(\n row: Record,\n resolved: ResolvedGroupBy[],\n): Record {\n const out: Record = {};\n for (const entry of resolved) {\n const v = row[entry.alias];\n out[entry.requestedKey] = v == null || v === '' ? null : String(v);\n }\n return out;\n}\n\nexport function seriesNameFromDimensions(values: unknown[]): string {\n return values.map(v => (v == null || v === '' ? '' : String(v))).join('|');\n}\n\n// ---------------------------------------------------------------------------\n// Period-over-period helpers\n// ---------------------------------------------------------------------------\n\n/** Compute the previous-period date range based on the comparePeriod selection. */\nexport function shiftRange(range: PgDateRange, period: ComparePeriod): PgDateRange | null {\n if (!range.start || !range.end) return null;\n const start = range.start.getTime();\n const end = range.end.getTime();\n const duration = end - start;\n\n let offset: number;\n switch (period) {\n case 'previous_day':\n offset = 86_400_000;\n break;\n case 'previous_week':\n offset = 7 * 86_400_000;\n break;\n case 'previous_period':\n default:\n offset = duration;\n }\n return {\n start: new Date(start - offset),\n end: new Date(end - offset),\n startExclusive: range.startExclusive,\n endExclusive: range.endExclusive,\n };\n}\n\nexport function changePercent(current: number | null, previous: number | null): number | null {\n if (current === null || previous === null || previous === 0) return null;\n return ((current - previous) / Math.abs(previous)) * 100;\n}\n\nexport function bucketDate(value: unknown): Date {\n return value instanceof Date ? value : new Date(String(value));\n}\n\nexport function validatePercentiles(percentiles: readonly number[]): void {\n if (!percentiles.length) {\n throw new Error('Percentiles must include at least one value between 0 and 1.');\n }\n for (const percentile of percentiles) {\n if (!Number.isFinite(percentile) || percentile < 0 || percentile > 1) {\n throw new Error(`Percentile value must be a finite number between 0 and 1, got ${percentile}`);\n }\n }\n}\n\nexport function percentileSelectSql(percentiles: readonly number[], measureSql: string): string {\n return percentiles\n .map((percentile, index) => `percentile_cont(${percentile}) WITHIN GROUP (ORDER BY ${measureSql}) AS p${index}`)\n .join(', ');\n}\n\nexport function percentileSeriesFromRows(\n rows: Record[],\n percentiles: readonly number[],\n): { percentile: number; points: { timestamp: Date; value: number }[] }[] {\n return percentiles.map((percentile, index) => ({\n percentile,\n points: rows.map(row => ({\n timestamp: bucketDate(row.bucket),\n value: Number(row[`p${index}`] ?? 0),\n })),\n }));\n}\n\nexport function collectSeriesByDimensions, Entry>(\n rows: Row[],\n resolved: ResolvedGroupBy[],\n createEntry: (dimensionValues: unknown[]) => Entry,\n appendRow: (entry: Entry, row: Row, dimensionValues: unknown[]) => void,\n): Entry[] {\n const seriesMap = new Map();\n\n for (const row of rows) {\n const dimensionValues = resolved.map(entry => row[entry.alias]);\n const seriesKey = JSON.stringify(dimensionValues);\n let entry = seriesMap.get(seriesKey);\n if (!entry) {\n entry = createEntry(dimensionValues);\n seriesMap.set(seriesKey, entry);\n }\n appendRow(entry, row, dimensionValues);\n }\n\n return Array.from(seriesMap.values());\n}\n\n// ---------------------------------------------------------------------------\n// Cost summary aggregates (used in metric OLAP responses)\n// ---------------------------------------------------------------------------\n\nexport interface CostSummary {\n estimatedCost: number | null;\n costUnit: string | null;\n}\n\n/** SQL for the (estimatedCost, costUnit) pair embedded in metric OLAP responses. */\nexport const COST_SUMMARY_SELECT = `\n SUM(\"estimatedCost\") FILTER (WHERE \"estimatedCost\" IS NOT NULL) AS \"agg_estimatedCost\",\n CASE\n WHEN COUNT(DISTINCT \"costUnit\") FILTER (WHERE \"costUnit\" IS NOT NULL) = 1\n THEN MIN(\"costUnit\") FILTER (WHERE \"costUnit\" IS NOT NULL)\n ELSE NULL\n END AS \"agg_costUnit\"\n`;\n\nexport function costSummaryFromRow(row: Record): CostSummary {\n return {\n estimatedCost: row.agg_estimatedCost == null ? null : Number(row.agg_estimatedCost),\n costUnit: row.agg_costUnit == null || row.agg_costUnit === '' ? null : String(row.agg_costUnit),\n };\n}\n\nexport const COMPLEX_GROUP_BY_EXCLUDED = new Set([\n 'metadata',\n 'metadataRaw',\n 'metadataSearch',\n 'scope',\n 'attributes',\n 'links',\n 'input',\n 'output',\n 'error',\n 'data',\n 'labels',\n 'costMetadata',\n 'tags',\n 'requestContext',\n]);\n","/**\n * Sanitizes JSON string for PostgreSQL jsonb:\n * - Removes problematic Unicode sequences:\n * - \\u0000 (null character) - causes error 22P05 \"unsupported Unicode escape sequence\"\n * - \\uD800-\\uDFFF (unpaired surrogates) - causes \"Unicode low surrogate must follow a high surrogate\"\n * - \\\\uD800 (escaped-backslash + surrogate, e.g. from JS regex literals like [^\\ud800-\\udfff]):\n * removing just \\uXXXX would leave a dangling backslash that creates a new invalid escape (e.g. \\-)\n * - Escapes any remaining invalid JSON escape sequences (e.g. \\v, \\k, \\-)\n */\nexport function sanitizeJsonForPg(jsonString: string): string {\n return (\n jsonString\n // Remove null char and surrogate escape sequences. The optional extra backslash (\\\\\\\\?)\n // also handles the escaped-backslash variant (\\\\uXXXX), which would otherwise leave a\n // dangling backslash and produce a new invalid escape sequence after removal.\n .replace(/\\\\\\\\?u(0000|[Dd][89A-Fa-f][0-9A-Fa-f]{2})/g, '')\n // Fix any remaining invalid JSON escape sequences safely without rewriting\n // already-escaped backslashes. Running this AFTER surrogate removal ensures that\n // characters newly exposed by the removal (e.g. a hyphen left after \\\\ud800-\\\\udfff)\n // are also caught and escaped.\n .replace(/(^|[^\\\\])(\\\\(?![\"\\\\/bfnrtu]))/g, '$1\\\\\\\\')\n );\n}\n","/**\n * SQL helpers for the v-next Postgres observability domain.\n *\n * Provides a multi-row INSERT builder with a configurable conflict clause\n * (`ON CONFLICT DO NOTHING` by default, for retry idempotency), and explicit\n * jsonb / text[] casts so the pg driver doesn't have to guess column types.\n */\n\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport { sanitizeJsonForPg } from '../../../db/sanitize-json';\nimport { qualifiedTable, TABLE_SPAN_EVENTS } from './ddl';\nimport {\n buildNamedSelectColumns,\n buildSelectColumns,\n FEEDBACK_EVENT_COLUMNS,\n JSONB_COLUMNS,\n LOG_EVENT_COLUMNS,\n METRIC_EVENT_COLUMNS,\n SCORE_EVENT_COLUMNS,\n SPAN_EVENT_COLUMNS,\n SPAN_LIGHT_SELECT_COLUMN_NAMES,\n TEXT_ARRAY_COLUMNS,\n} from './signal-schema';\n\n/**\n * Encode a JS value for a `$N::jsonb` cast. Always `JSON.stringify` so a\n * plain string like `\"hello\"` becomes `\"hello\"` (a valid JSON scalar) and\n * not the bare word `hello`, which Postgres rejects when cast to jsonb.\n *\n * The result is sanitized because Postgres rejects some sequences that are\n * legal in JSON: NUL (`\\u0000`) fails with 22P05 and unpaired UTF-16\n * surrogates fail with 22P02. Inserts here are batched into a single\n * multi-row statement, so one bad value would otherwise reject the whole\n * batch of observability events.\n */\nfunction encodeJsonb(value: unknown): string | null {\n if (value === null || value === undefined) return null;\n return sanitizeJsonForPg(JSON.stringify(value));\n}\n\n/**\n * Build a multi-row INSERT with explicit column types and ON CONFLICT DO NOTHING.\n *\n * @param schema Schema name.\n * @param table Table name.\n * @param records Array of records (each is a column-name → value object).\n * All records must have identical key sets.\n * @returns { text, values } ready to pass to `client.query`.\n */\nexport function buildInsert(\n schema: string,\n table: string,\n records: Record[],\n onConflict = 'ON CONFLICT DO NOTHING',\n): { text: string; values: unknown[] } | null {\n if (records.length === 0) return null;\n const columns = Object.keys(records[0]!).map(c => parseSqlIdentifier(c, 'column name'));\n const quotedColumns = columns.map(c => `\"${c}\"`).join(', ');\n\n const values: unknown[] = [];\n const rowPlaceholders: string[] = [];\n let p = 1;\n\n for (const record of records) {\n const placeholders = columns.map(col => {\n const raw = (record as Record)[col];\n if (JSONB_COLUMNS.has(col)) {\n values.push(encodeJsonb(raw));\n return `$${p++}::jsonb`;\n }\n if (TEXT_ARRAY_COLUMNS.has(col)) {\n values.push(Array.isArray(raw) ? raw : []);\n return `$${p++}::text[]`;\n }\n values.push(raw === undefined ? null : raw);\n return `$${p++}`;\n });\n rowPlaceholders.push(`(${placeholders.join(', ')})`);\n }\n\n const text = `INSERT INTO ${qualifiedTable(schema, table)} (${quotedColumns})\nVALUES ${rowPlaceholders.join(', ')}\n${onConflict}`;\n\n return { text, values };\n}\n\n/** Primary key of the span table; also the conflict target for span upserts. */\nconst SPAN_KEY_COLUMNS = ['traceId', 'spanId', 'endedAt'];\n\n/**\n * Conflict clause for span writes.\n *\n * A span is written twice under the event-sourced strategy: once when it starts\n * (`isPending = true`, `endedAt` synthesized from `startedAt`) and once when it\n * ends. Those two rows normally differ in `endedAt` and so coexist under the\n * primary key. A zero-duration span is the exception — its real `endedAt`\n * equals its `startedAt`, so the end row collides with the pending row. Letting\n * `DO NOTHING` win there would strand the span as permanently running, so the\n * end row overwrites the pending one instead.\n *\n * The `WHERE` guard keeps the clause a no-op for every other conflict, which\n * preserves insert-only retry idempotency: a replayed end row cannot clobber\n * the row it duplicates, and a late-arriving start row cannot revert an ended\n * span to pending.\n */\nexport function spanConflictClause(columns: readonly string[]): string {\n const assignments = columns\n .filter(column => !SPAN_KEY_COLUMNS.includes(column))\n .map(column => `\"${column}\" = EXCLUDED.\"${column}\"`)\n .join(', ');\n return `ON CONFLICT (\"traceId\", \"spanId\", \"endedAt\") DO UPDATE SET ${assignments}\nWHERE ${TABLE_SPAN_EVENTS}.\"isPending\" AND NOT EXCLUDED.\"isPending\"`;\n}\n\n/**\n * Ordering that picks the winning row for a span under the event-sourced write\n * model. An ended row always beats a pending row for the same span; among rows\n * of the same kind the latest write wins, with `cursorId` breaking ties between\n * rows that share a timestamp. Combine with `DISTINCT ON` (or `LIMIT 1`) after\n * the grouping key to collapse a span's rows down to one.\n */\nexport const SPAN_COLLAPSE_ORDER = '\"isPending\" ASC, \"endedAt\" DESC, \"cursorId\" DESC';\n\n/**\n * Standard SELECT column list for tracing tables. The select projects every\n * column the row→record converters expect.\n */\nexport const SPAN_SELECT_COLUMNS = `\n${buildSelectColumns(SPAN_EVENT_COLUMNS)}`;\n\nexport const SPAN_LIGHT_SELECT_COLUMNS = `\n${buildNamedSelectColumns(SPAN_LIGHT_SELECT_COLUMN_NAMES)}`;\n\nexport const METRIC_SELECT_COLUMNS = `\n${buildSelectColumns(METRIC_EVENT_COLUMNS)}`;\n\nexport const LOG_SELECT_COLUMNS = `\n${buildSelectColumns(LOG_EVENT_COLUMNS)}`;\n\nexport const SCORE_SELECT_COLUMNS = `\n${buildSelectColumns(SCORE_EVENT_COLUMNS)}`;\n\nexport const FEEDBACK_SELECT_COLUMNS = `\n${buildSelectColumns(FEEDBACK_EVENT_COLUMNS)}`;\n","/**\n * Feedback operations for the v-next Postgres observability domain.\n *\n * Implements the full ObservabilityStorage feedback surface — write, list,\n * aggregate, breakdown, time series, and percentiles. OLAP aggregates run\n * over `valueNumber` only; string-valued feedback is excluded.\n */\n\nimport { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport { listFeedbackArgsSchema } from '@mastra/core/storage';\nimport type {\n BatchCreateFeedbackArgs,\n CreateFeedbackArgs,\n DeleteFeedbackArgs,\n FeedbackRecord,\n GetFeedbackAggregateArgs,\n GetFeedbackAggregateResponse,\n GetFeedbackBreakdownArgs,\n GetFeedbackBreakdownResponse,\n GetFeedbackPercentilesArgs,\n GetFeedbackPercentilesResponse,\n GetFeedbackTimeSeriesArgs,\n GetFeedbackTimeSeriesResponse,\n ListFeedbackArgs,\n ListFeedbackResponse,\n UpdateFeedbackReviewStatusArgs,\n} from '@mastra/core/storage';\n\nimport type { DbClient } from '../../../client';\nimport { qualifiedTable, TABLE_FEEDBACK_EVENTS } from './ddl';\nimport { applyCommonFilters, applySingleOrArrayFilter, newFilterAccumulator, whereOrEmpty } from './filters';\nimport { feedbackRecordToRow, rowToFeedbackRecord } from './helpers';\nimport { listSignalDelta, listSignalPage } from './listing';\nimport {\n aggregationSql,\n bucketDate,\n bucketSql,\n changePercent,\n collectSeriesByDimensions,\n COMPLEX_GROUP_BY_EXCLUDED,\n dimensionsFromRow,\n percentileSelectSql,\n percentileSeriesFromRows,\n resolveGroupBy,\n seriesNameFromDimensions,\n shiftRange,\n validatePercentiles,\n} from './olap';\nimport { assertDeltaPollingEnabled, deltaPollingFeatureEnabled } from './polling';\nimport { parseUpdateFeedbackReviewStatusArgs } from './review-status';\nimport { FEEDBACK_EVENT_COLUMNS, FEEDBACK_TYPED_COLUMNS } from './signal-schema';\nimport { buildInsert, FEEDBACK_SELECT_COLUMNS } from './sql';\n\nconst FEEDBACK_CONFLICT_KEYS = new Set(['feedbackId', 'timestamp']);\nconst FEEDBACK_UPSERT_CLAUSE = `ON CONFLICT (\"feedbackId\", \"timestamp\") DO UPDATE SET ${FEEDBACK_EVENT_COLUMNS.map(\n column => column.name,\n)\n .filter(column => !FEEDBACK_CONFLICT_KEYS.has(column))\n .map(column => `\"${column}\" = EXCLUDED.\"${column}\"`)\n .join(', ')}`;\n\n// ---------------------------------------------------------------------------\n// Filter helpers specific to the feedback signal\n// ---------------------------------------------------------------------------\n\nfunction applyFeedbackFilters(\n acc: ReturnType,\n filters: Record | undefined,\n): void {\n applyCommonFilters(acc, filters);\n applySingleOrArrayFilter(acc, 'feedbackType', filters?.feedbackType);\n if (filters?.feedbackSource ?? filters?.source) {\n acc.conditions.push(`\"feedbackSource\" = $${acc.next++}`);\n acc.params.push(filters.feedbackSource ?? filters.source);\n }\n if (filters?.feedbackUserId) {\n acc.conditions.push(`\"feedbackUserId\" = $${acc.next++}`);\n acc.params.push(filters.feedbackUserId);\n }\n if (filters?.reviewStatus) {\n acc.conditions.push(`\"reviewStatus\" = $${acc.next++}`);\n acc.params.push(filters.reviewStatus);\n }\n}\n\n/**\n * OLAP queries take an explicit feedbackType / feedbackSource pair as\n * identity. OLAP aggregates also restrict to rows that have a numeric value.\n */\nfunction pushFeedbackIdentity(\n acc: ReturnType,\n feedbackType: string,\n feedbackSource: string | undefined,\n): void {\n acc.conditions.push(`\"feedbackType\" = $${acc.next++}`);\n acc.params.push(feedbackType);\n if (feedbackSource !== undefined) {\n acc.conditions.push(`\"feedbackSource\" = $${acc.next++}`);\n acc.params.push(feedbackSource);\n }\n acc.conditions.push(`\"valueNumber\" IS NOT NULL`);\n}\n\n// ---------------------------------------------------------------------------\n// Writes\n// ---------------------------------------------------------------------------\n\nexport async function createFeedback(client: DbClient, schema: string, args: CreateFeedbackArgs): Promise {\n const row = feedbackRecordToRow(args.feedback);\n const insert = buildInsert(schema, TABLE_FEEDBACK_EVENTS, [row], FEEDBACK_UPSERT_CLAUSE);\n if (insert) await client.query(insert.text, insert.values);\n}\n\nexport async function batchCreateFeedback(\n client: DbClient,\n schema: string,\n args: BatchCreateFeedbackArgs,\n): Promise {\n if (args.feedbacks.length === 0) return;\n const currentFeedback = new Map(args.feedbacks.map(feedback => [feedback.feedbackId, feedback]));\n const rows = [...currentFeedback.values()].map(feedbackRecordToRow);\n const insert = buildInsert(schema, TABLE_FEEDBACK_EVENTS, rows, FEEDBACK_UPSERT_CLAUSE);\n if (insert) await client.query(insert.text, insert.values);\n}\n\nexport async function updateFeedbackReviewStatus(\n client: DbClient,\n schema: string,\n args: UpdateFeedbackReviewStatusArgs,\n): Promise {\n const { feedbackId, reviewStatus } = parseUpdateFeedbackReviewStatusArgs(args);\n const row = await client.oneOrNone>(\n `UPDATE ${qualifiedTable(schema, TABLE_FEEDBACK_EVENTS)}\n SET \"reviewStatus\" = $2\n WHERE \"feedbackId\" = $1\n RETURNING ${FEEDBACK_SELECT_COLUMNS}`,\n [feedbackId, reviewStatus],\n );\n if (!row) {\n throw new MastraError({\n id: 'OBSERVABILITY_UPDATE_FEEDBACK_REVIEW_STATUS_NOT_FOUND',\n domain: ErrorDomain.MASTRA_OBSERVABILITY,\n category: ErrorCategory.USER,\n text: 'Feedback record not found',\n details: { feedbackId },\n });\n }\n return rowToFeedbackRecord(row);\n}\n\n// ---------------------------------------------------------------------------\n// Deletes\n// ---------------------------------------------------------------------------\n\n/**\n * Delete feedback events by feedbackId. Optional `organizationId` and\n * `resourceId` values are ANDed into the predicate to restrict deletion to\n * records with matching scope fields.\n */\nexport async function deleteFeedback(client: DbClient, schema: string, args: DeleteFeedbackArgs): Promise {\n if (args.feedbackIds.length === 0) return;\n const table = qualifiedTable(schema, TABLE_FEEDBACK_EVENTS);\n const values: unknown[] = [...args.feedbackIds];\n const placeholders = args.feedbackIds.map((_, i) => `$${i + 1}`).join(', ');\n const conditions = [`\"feedbackId\" IN (${placeholders})`];\n if (args.organizationId !== undefined) {\n values.push(args.organizationId);\n conditions.push(`\"organizationId\" = $${values.length}`);\n }\n if (args.resourceId !== undefined) {\n values.push(args.resourceId);\n conditions.push(`\"resourceId\" = $${values.length}`);\n }\n await client.query(`DELETE FROM ${table} WHERE ${conditions.join(' AND ')}`, values);\n}\n\n// ---------------------------------------------------------------------------\n// List\n// ---------------------------------------------------------------------------\n\nexport async function listFeedback(\n client: DbClient,\n schema: string,\n args: ListFeedbackArgs,\n): Promise {\n const { mode, filters, pagination, orderBy, after, limit } = listFeedbackArgsSchema.parse(args);\n const table = qualifiedTable(schema, TABLE_FEEDBACK_EVENTS);\n\n if (mode === 'delta') {\n assertDeltaPollingEnabled();\n return listFeedbackDelta(client, table, filters, after, limit);\n }\n\n return listFeedbackPage(\n client,\n table,\n filters,\n pagination.page,\n pagination.perPage,\n orderBy.field,\n orderBy.direction,\n );\n}\n\nasync function listFeedbackPage(\n client: DbClient,\n table: string,\n filters: ListFeedbackArgs['filters'],\n page: number,\n perPage: number,\n orderField: 'timestamp',\n orderDir: 'ASC' | 'DESC',\n): Promise {\n return listSignalPage({\n client,\n table,\n filters: filters as Record | undefined,\n page,\n perPage,\n orderField,\n orderDir,\n includeDeltaCursor: deltaPollingFeatureEnabled(),\n selectColumns: FEEDBACK_SELECT_COLUMNS,\n responseKey: 'feedback',\n applyFilters: applyFeedbackFilters,\n mapRow: rowToFeedbackRecord,\n });\n}\n\nasync function listFeedbackDelta(\n client: DbClient,\n table: string,\n filters: ListFeedbackArgs['filters'],\n after: string | undefined,\n limit: number,\n): Promise {\n return listSignalDelta({\n client,\n table,\n filters: filters as Record | undefined,\n after,\n limit,\n selectColumns: FEEDBACK_SELECT_COLUMNS,\n responseKey: 'feedback',\n applyFilters: applyFeedbackFilters,\n mapRow: rowToFeedbackRecord,\n });\n}\n\n// ---------------------------------------------------------------------------\n// OLAP — aggregate\n// ---------------------------------------------------------------------------\n\nasync function runFeedbackAggregateQuery(\n client: DbClient,\n schema: string,\n args: Pick,\n filters: Record | undefined,\n): Promise {\n const acc = newFilterAccumulator();\n pushFeedbackIdentity(acc, args.feedbackType, args.feedbackSource);\n applyFeedbackFilters(acc, filters);\n\n const sql = `\n SELECT ${aggregationSql(args.aggregation, '\"valueNumber\"')} AS \"value\"\n FROM ${qualifiedTable(schema, TABLE_FEEDBACK_EVENTS)}\n ${whereOrEmpty(acc)}\n `;\n const row = await client.oneOrNone<{ value: unknown }>(sql, acc.params);\n return row?.value == null ? null : Number(row.value);\n}\n\nexport async function getFeedbackAggregate(\n client: DbClient,\n schema: string,\n args: GetFeedbackAggregateArgs,\n): Promise {\n const value = await runFeedbackAggregateQuery(client, schema, args, args.filters);\n\n if (args.comparePeriod && args.filters?.timestamp) {\n const prevRange = shiftRange(args.filters.timestamp, args.comparePeriod);\n if (prevRange) {\n const previousValue = await runFeedbackAggregateQuery(client, schema, args, {\n ...(args.filters ?? {}),\n timestamp: prevRange,\n });\n return {\n value,\n previousValue,\n changePercent: changePercent(value, previousValue),\n };\n }\n }\n return { value };\n}\n\n// ---------------------------------------------------------------------------\n// OLAP — breakdown\n// ---------------------------------------------------------------------------\n\nexport async function getFeedbackBreakdown(\n client: DbClient,\n schema: string,\n args: GetFeedbackBreakdownArgs,\n): Promise {\n const acc = newFilterAccumulator();\n const resolved = resolveGroupBy(acc, args.groupBy, {\n typedColumns: FEEDBACK_TYPED_COLUMNS,\n excludedColumns: COMPLEX_GROUP_BY_EXCLUDED,\n });\n pushFeedbackIdentity(acc, args.feedbackType, args.feedbackSource);\n applyFeedbackFilters(acc, args.filters);\n\n const sql = `\n SELECT ${resolved.map(e => e.selectSql).join(', ')},\n ${aggregationSql(args.aggregation, '\"valueNumber\"')} AS \"value\"\n FROM ${qualifiedTable(schema, TABLE_FEEDBACK_EVENTS)}\n ${whereOrEmpty(acc)}\n GROUP BY ${resolved.map(e => e.alias).join(', ')}\n ORDER BY \"value\" DESC NULLS LAST\n `;\n const rows = await client.manyOrNone>(sql, acc.params);\n\n return {\n groups: rows.map(row => ({\n dimensions: dimensionsFromRow(row, resolved),\n value: Number(row.value ?? 0),\n })),\n };\n}\n\n// ---------------------------------------------------------------------------\n// OLAP — time series\n// ---------------------------------------------------------------------------\n\nexport async function getFeedbackTimeSeries(\n client: DbClient,\n schema: string,\n args: GetFeedbackTimeSeriesArgs,\n): Promise {\n const bucket = bucketSql('\"timestamp\"', args.interval);\n\n if (args.groupBy && args.groupBy.length > 0) {\n const acc = newFilterAccumulator();\n const resolved = resolveGroupBy(acc, args.groupBy, {\n typedColumns: FEEDBACK_TYPED_COLUMNS,\n excludedColumns: COMPLEX_GROUP_BY_EXCLUDED,\n });\n pushFeedbackIdentity(acc, args.feedbackType, args.feedbackSource);\n applyFeedbackFilters(acc, args.filters);\n\n const sql = `\n SELECT ${bucket} AS bucket,\n ${resolved.map(e => e.selectSql).join(', ')},\n ${aggregationSql(args.aggregation, '\"valueNumber\"')} AS \"value\"\n FROM ${qualifiedTable(schema, TABLE_FEEDBACK_EVENTS)}\n ${whereOrEmpty(acc)}\n GROUP BY bucket, ${resolved.map(e => e.alias).join(', ')}\n ORDER BY bucket\n `;\n const rows = await client.manyOrNone>(sql, acc.params);\n\n return {\n series: collectSeriesByDimensions(\n rows,\n resolved,\n dimValues => ({\n name: seriesNameFromDimensions(dimValues),\n points: [] as { timestamp: Date; value: number }[],\n }),\n (entry, row) => {\n entry.points.push({\n timestamp: bucketDate(row.bucket),\n value: Number(row.value ?? 0),\n });\n },\n ),\n };\n }\n\n const acc = newFilterAccumulator();\n pushFeedbackIdentity(acc, args.feedbackType, args.feedbackSource);\n applyFeedbackFilters(acc, args.filters);\n\n const sql = `\n SELECT ${bucket} AS bucket,\n ${aggregationSql(args.aggregation, '\"valueNumber\"')} AS \"value\"\n FROM ${qualifiedTable(schema, TABLE_FEEDBACK_EVENTS)}\n ${whereOrEmpty(acc)}\n GROUP BY bucket\n ORDER BY bucket\n `;\n const rows = await client.manyOrNone>(sql, acc.params);\n\n const seriesName = args.feedbackSource ? `${args.feedbackType}|${args.feedbackSource}` : args.feedbackType;\n return {\n series: [\n {\n name: seriesName,\n points: rows.map(row => ({\n timestamp: bucketDate(row.bucket),\n value: Number(row.value ?? 0),\n })),\n },\n ],\n };\n}\n\n// ---------------------------------------------------------------------------\n// OLAP — percentiles\n// ---------------------------------------------------------------------------\n\nexport async function getFeedbackPercentiles(\n client: DbClient,\n schema: string,\n args: GetFeedbackPercentilesArgs,\n): Promise {\n validatePercentiles(args.percentiles);\n\n const bucket = bucketSql('\"timestamp\"', args.interval);\n const acc = newFilterAccumulator();\n pushFeedbackIdentity(acc, args.feedbackType, args.feedbackSource);\n applyFeedbackFilters(acc, args.filters);\n\n const percentileSelect = percentileSelectSql(args.percentiles, '\"valueNumber\"');\n\n const sql = `\n SELECT ${bucket} AS bucket, ${percentileSelect}\n FROM ${qualifiedTable(schema, TABLE_FEEDBACK_EVENTS)}\n ${whereOrEmpty(acc)}\n GROUP BY bucket\n ORDER BY bucket\n `;\n const rows = await client.manyOrNone>(sql, acc.params);\n\n return { series: percentileSeriesFromRows(rows, args.percentiles) };\n}\n","/**\n * Log operations for the v-next Postgres observability domain.\n */\n\nimport { listLogsArgsSchema } from '@mastra/core/storage';\nimport type { BatchCreateLogsArgs, ListLogsArgs, ListLogsResponse } from '@mastra/core/storage';\n\nimport type { DbClient } from '../../../client';\nimport { qualifiedTable, TABLE_LOG_EVENTS } from './ddl';\nimport { applyCommonFilters, applySingleOrArrayFilter } from './filters';\nimport type { FilterAccumulator } from './filters';\nimport { logRecordToRow, rowToLogRecord } from './helpers';\nimport { listSignalDelta, listSignalPage } from './listing';\nimport { assertDeltaPollingEnabled, deltaPollingFeatureEnabled } from './polling';\nimport { buildInsert, LOG_SELECT_COLUMNS } from './sql';\n\nfunction applyLogFilters(acc: FilterAccumulator, filters: ListLogsArgs['filters']): void {\n applyCommonFilters(acc, filters);\n applySingleOrArrayFilter(acc, 'level', filters?.level);\n}\n\nexport async function batchCreateLogs(client: DbClient, schema: string, args: BatchCreateLogsArgs): Promise {\n if (args.logs.length === 0) return;\n const rows = args.logs.map(logRecordToRow);\n const insert = buildInsert(schema, TABLE_LOG_EVENTS, rows);\n if (insert) await client.query(insert.text, insert.values);\n}\n\nexport async function listLogs(client: DbClient, schema: string, args: ListLogsArgs): Promise {\n const { mode, filters, pagination, orderBy, after, limit } = listLogsArgsSchema.parse(args);\n const table = qualifiedTable(schema, TABLE_LOG_EVENTS);\n\n if (mode === 'delta') {\n assertDeltaPollingEnabled();\n return listLogsDelta(client, table, filters, after, limit);\n }\n\n return listLogsPage(client, table, filters, pagination.page, pagination.perPage, orderBy.field, orderBy.direction);\n}\n\nasync function listLogsPage(\n client: DbClient,\n table: string,\n filters: ListLogsArgs['filters'],\n page: number,\n perPage: number,\n orderField: 'timestamp',\n orderDir: 'ASC' | 'DESC',\n): Promise {\n return listSignalPage({\n client,\n table,\n filters,\n page,\n perPage,\n orderField,\n orderDir,\n includeDeltaCursor: deltaPollingFeatureEnabled(),\n selectColumns: LOG_SELECT_COLUMNS,\n responseKey: 'logs',\n applyFilters: applyLogFilters,\n mapRow: rowToLogRecord,\n });\n}\n\nasync function listLogsDelta(\n client: DbClient,\n table: string,\n filters: ListLogsArgs['filters'],\n after: string | undefined,\n limit: number,\n): Promise {\n return listSignalDelta({\n client,\n table,\n filters,\n after,\n limit,\n selectColumns: LOG_SELECT_COLUMNS,\n responseKey: 'logs',\n applyFilters: applyLogFilters,\n mapRow: rowToLogRecord,\n });\n}\n","/**\n * Metric operations for the v-next Postgres observability domain.\n *\n * Implements the full ObservabilityStorage metric surface — write, list,\n * aggregate, breakdown, time series, and percentiles. The OLAP queries\n * lean on standard Postgres aggregates (`SUM`, `AVG`, `percentile_cont`,\n * `FILTER (WHERE …)`) and a portable epoch-floor bucket expression so the\n * adapter works on vanilla Postgres and on a TimescaleDB hypertable\n * without query rewrites.\n */\n\nimport { listMetricsArgsSchema } from '@mastra/core/storage';\nimport type {\n BatchCreateMetricsArgs,\n GetMetricAggregateArgs,\n GetMetricAggregateResponse,\n GetMetricBreakdownArgs,\n GetMetricBreakdownResponse,\n GetMetricPercentilesArgs,\n GetMetricPercentilesResponse,\n GetMetricTimeSeriesArgs,\n GetMetricTimeSeriesResponse,\n ListMetricsArgs,\n ListMetricsResponse,\n} from '@mastra/core/storage';\n\nimport type { DbClient } from '../../../client';\nimport { qualifiedTable, TABLE_METRIC_EVENTS } from './ddl';\nimport { applyCommonFilters, applySingleOrArrayFilter, newFilterAccumulator, whereOrEmpty } from './filters';\nimport { metricRecordToRow, rowToMetricRecord } from './helpers';\nimport { listSignalDelta, listSignalPage } from './listing';\nimport {\n bucketDate,\n bucketSql,\n changePercent,\n collectSeriesByDimensions,\n COMPLEX_GROUP_BY_EXCLUDED,\n COST_SUMMARY_SELECT,\n costSummaryFromRow,\n dimensionsFromRow,\n metricAggregationSql,\n percentileSelectSql,\n percentileSeriesFromRows,\n pushLabelExclusions,\n resolveGroupBy,\n seriesNameFromDimensions,\n shiftRange,\n validatePercentiles,\n} from './olap';\nimport { assertDeltaPollingEnabled, deltaPollingFeatureEnabled } from './polling';\nimport { METRIC_TYPED_COLUMNS } from './signal-schema';\nimport { buildInsert, METRIC_SELECT_COLUMNS } from './sql';\n\n// ---------------------------------------------------------------------------\n// Filter helpers specific to the metric signal\n// ---------------------------------------------------------------------------\n\nfunction applyMetricFilters(\n acc: ReturnType,\n filters: Record | undefined,\n): void {\n applyCommonFilters(acc, filters);\n applySingleOrArrayFilter(acc, 'traceId', filters?.traceIds);\n applySingleOrArrayFilter(acc, 'name', filters?.name);\n applySingleOrArrayFilter(acc, 'provider', filters?.provider);\n applySingleOrArrayFilter(acc, 'model', filters?.model);\n applySingleOrArrayFilter(acc, 'costUnit', filters?.costUnit);\n if (filters?.labels) {\n acc.conditions.push(`\"labels\" @> $${acc.next++}::jsonb`);\n acc.params.push(JSON.stringify(filters.labels));\n }\n}\n\n/** Additional WHERE for metric-name restriction (OLAP queries take a `name` array). */\nfunction pushMetricNameFilter(acc: ReturnType, names: readonly string[]): void {\n if (!names.length) return;\n const placeholders = names.map(() => `$${acc.next++}`).join(', ');\n acc.conditions.push(`\"name\" IN (${placeholders})`);\n acc.params.push(...names);\n}\n\n// ---------------------------------------------------------------------------\n// Writes\n// ---------------------------------------------------------------------------\n\nexport async function batchCreateMetrics(\n client: DbClient,\n schema: string,\n args: BatchCreateMetricsArgs,\n): Promise {\n if (args.metrics.length === 0) return;\n const rows = args.metrics.map(metricRecordToRow);\n const insert = buildInsert(schema, TABLE_METRIC_EVENTS, rows);\n if (insert) await client.query(insert.text, insert.values);\n}\n\n// ---------------------------------------------------------------------------\n// List\n// ---------------------------------------------------------------------------\n\nexport async function listMetrics(\n client: DbClient,\n schema: string,\n args: ListMetricsArgs,\n): Promise {\n const { mode, filters, pagination, orderBy, after, limit } = listMetricsArgsSchema.parse(args);\n const table = qualifiedTable(schema, TABLE_METRIC_EVENTS);\n\n if (mode === 'delta') {\n assertDeltaPollingEnabled();\n return listMetricsDelta(client, table, filters, after, limit);\n }\n\n return listMetricsPage(client, table, filters, pagination.page, pagination.perPage, orderBy.field, orderBy.direction);\n}\n\nasync function listMetricsPage(\n client: DbClient,\n table: string,\n filters: ListMetricsArgs['filters'],\n page: number,\n perPage: number,\n orderField: 'timestamp',\n orderDir: 'ASC' | 'DESC',\n): Promise {\n return listSignalPage({\n client,\n table,\n filters,\n page,\n perPage,\n orderField,\n orderDir,\n includeDeltaCursor: deltaPollingFeatureEnabled(),\n selectColumns: METRIC_SELECT_COLUMNS,\n responseKey: 'metrics',\n applyFilters: applyMetricFilters,\n mapRow: rowToMetricRecord,\n });\n}\n\nasync function listMetricsDelta(\n client: DbClient,\n table: string,\n filters: ListMetricsArgs['filters'],\n after: string | undefined,\n limit: number,\n): Promise {\n return listSignalDelta({\n client,\n table,\n filters,\n after,\n limit,\n selectColumns: METRIC_SELECT_COLUMNS,\n responseKey: 'metrics',\n applyFilters: applyMetricFilters,\n mapRow: rowToMetricRecord,\n });\n}\n\n// ---------------------------------------------------------------------------\n// OLAP — aggregate\n// ---------------------------------------------------------------------------\n\nasync function runMetricAggregateQuery(\n client: DbClient,\n schema: string,\n filters: Record | undefined,\n names: readonly string[],\n aggregation: GetMetricAggregateArgs['aggregation'],\n distinctColumn: GetMetricAggregateArgs['distinctColumn'],\n): Promise<{ value: number | null; cost: ReturnType }> {\n const acc = newFilterAccumulator();\n pushMetricNameFilter(acc, names);\n applyMetricFilters(acc, filters);\n const where = whereOrEmpty(acc);\n\n const sql = `\n SELECT ${metricAggregationSql(aggregation, '\"value\"', 'timestamp', distinctColumn)} AS \"value\",\n ${COST_SUMMARY_SELECT}\n FROM ${qualifiedTable(schema, TABLE_METRIC_EVENTS)}\n ${where}\n `;\n const row = (await client.oneOrNone>(sql, acc.params)) ?? {};\n return {\n value: row.value == null ? null : Number(row.value),\n cost: costSummaryFromRow(row),\n };\n}\n\nexport async function getMetricAggregate(\n client: DbClient,\n schema: string,\n args: GetMetricAggregateArgs,\n): Promise {\n const { value, cost } = await runMetricAggregateQuery(\n client,\n schema,\n args.filters,\n args.name,\n args.aggregation,\n args.distinctColumn,\n );\n\n if (args.comparePeriod && args.filters?.timestamp) {\n const prevRange = shiftRange(args.filters.timestamp, args.comparePeriod);\n if (prevRange) {\n const prevFilters = { ...(args.filters ?? {}), timestamp: prevRange };\n const prev = await runMetricAggregateQuery(\n client,\n schema,\n prevFilters,\n args.name,\n args.aggregation,\n args.distinctColumn,\n );\n return {\n value,\n estimatedCost: cost.estimatedCost,\n costUnit: cost.costUnit,\n previousValue: prev.value,\n previousEstimatedCost: prev.cost.estimatedCost,\n changePercent: changePercent(value, prev.value),\n costChangePercent: changePercent(cost.estimatedCost, prev.cost.estimatedCost),\n };\n }\n }\n\n return { value, estimatedCost: cost.estimatedCost, costUnit: cost.costUnit };\n}\n\n// ---------------------------------------------------------------------------\n// OLAP — breakdown\n// ---------------------------------------------------------------------------\n\nexport async function getMetricBreakdown(\n client: DbClient,\n schema: string,\n args: GetMetricBreakdownArgs,\n): Promise {\n const acc = newFilterAccumulator();\n // GroupBy may bind label-key parameters first, but later WHERE conditions\n // also bind via the same accumulator. The resolution function pushes\n // label-key params via `acc.next++` so positional indexes line up.\n const resolved = resolveGroupBy(acc, args.groupBy, {\n typedColumns: METRIC_TYPED_COLUMNS,\n excludedColumns: COMPLEX_GROUP_BY_EXCLUDED,\n labelsColumn: 'labels',\n });\n pushMetricNameFilter(acc, args.name);\n applyMetricFilters(acc, args.filters);\n pushLabelExclusions(acc, resolved);\n const orderDirection = args.orderDirection === 'ASC' ? 'ASC' : 'DESC';\n const limitClause = args.limit == null ? '' : `LIMIT $${acc.next++}`;\n if (args.limit != null) acc.params.push(args.limit);\n\n const sql = `\n SELECT ${resolved.map(e => e.selectSql).join(', ')},\n ${metricAggregationSql(args.aggregation, '\"value\"', 'timestamp', args.distinctColumn)} AS \"value\",\n ${COST_SUMMARY_SELECT}\n FROM ${qualifiedTable(schema, TABLE_METRIC_EVENTS)}\n ${whereOrEmpty(acc)}\n GROUP BY ${resolved.map(e => e.alias).join(', ')}\n ORDER BY \"value\" ${orderDirection} NULLS LAST\n ${limitClause}\n `;\n\n const rows = await client.manyOrNone>(sql, acc.params);\n\n return {\n groups: rows.map(row => {\n const cs = costSummaryFromRow(row);\n return {\n dimensions: dimensionsFromRow(row, resolved),\n value: Number(row.value ?? 0),\n estimatedCost: cs.estimatedCost,\n costUnit: cs.costUnit,\n };\n }),\n };\n}\n\n// ---------------------------------------------------------------------------\n// OLAP — time series\n// ---------------------------------------------------------------------------\n\nexport async function getMetricTimeSeries(\n client: DbClient,\n schema: string,\n args: GetMetricTimeSeriesArgs,\n): Promise {\n const bucket = bucketSql('\"timestamp\"', args.interval);\n\n if (args.groupBy && args.groupBy.length > 0) {\n const acc = newFilterAccumulator();\n const resolved = resolveGroupBy(acc, args.groupBy, {\n typedColumns: METRIC_TYPED_COLUMNS,\n excludedColumns: COMPLEX_GROUP_BY_EXCLUDED,\n labelsColumn: 'labels',\n });\n pushMetricNameFilter(acc, args.name);\n applyMetricFilters(acc, args.filters);\n pushLabelExclusions(acc, resolved);\n\n const sql = `\n SELECT ${bucket} AS bucket,\n ${resolved.map(e => e.selectSql).join(', ')},\n ${metricAggregationSql(args.aggregation, '\"value\"', 'timestamp', args.distinctColumn)} AS \"value\",\n ${COST_SUMMARY_SELECT}\n FROM ${qualifiedTable(schema, TABLE_METRIC_EVENTS)}\n ${whereOrEmpty(acc)}\n GROUP BY bucket, ${resolved.map(e => e.alias).join(', ')}\n ORDER BY bucket\n `;\n\n const rows = await client.manyOrNone>(sql, acc.params);\n\n const series = collectSeriesByDimensions(\n rows,\n resolved,\n dimValues => ({\n name: seriesNameFromDimensions(dimValues),\n costUnits: new Set(),\n points: [] as { timestamp: Date; value: number; estimatedCost: number | null }[],\n }),\n (entry, row) => {\n const cs = costSummaryFromRow(row);\n if (cs.costUnit) entry.costUnits.add(cs.costUnit);\n entry.points.push({\n timestamp: bucketDate(row.bucket),\n value: Number(row.value ?? 0),\n estimatedCost: cs.estimatedCost,\n });\n },\n ).map(s => ({\n name: s.name,\n costUnit: s.costUnits.size === 1 ? Array.from(s.costUnits)[0]! : null,\n points: s.points,\n }));\n\n return { series };\n }\n\n // No groupBy — single series per metric name set\n const acc = newFilterAccumulator();\n pushMetricNameFilter(acc, args.name);\n applyMetricFilters(acc, args.filters);\n\n const sql = `\n SELECT ${bucket} AS bucket,\n ${metricAggregationSql(args.aggregation, '\"value\"', 'timestamp', args.distinctColumn)} AS \"value\",\n ${COST_SUMMARY_SELECT}\n FROM ${qualifiedTable(schema, TABLE_METRIC_EVENTS)}\n ${whereOrEmpty(acc)}\n GROUP BY bucket\n ORDER BY bucket\n `;\n const rows = await client.manyOrNone>(sql, acc.params);\n\n const overallCostUnits = new Set();\n for (const row of rows) {\n const cs = costSummaryFromRow(row);\n if (cs.costUnit) overallCostUnits.add(cs.costUnit);\n }\n\n return {\n series: [\n {\n name: args.name.join('|'),\n costUnit: overallCostUnits.size === 1 ? Array.from(overallCostUnits)[0]! : null,\n points: rows.map(row => {\n const cs = costSummaryFromRow(row);\n return {\n timestamp: bucketDate(row.bucket),\n value: Number(row.value ?? 0),\n estimatedCost: cs.estimatedCost,\n };\n }),\n },\n ],\n };\n}\n\n// ---------------------------------------------------------------------------\n// OLAP — percentiles\n// ---------------------------------------------------------------------------\n\nexport async function getMetricPercentiles(\n client: DbClient,\n schema: string,\n args: GetMetricPercentilesArgs,\n): Promise {\n validatePercentiles(args.percentiles);\n\n const bucket = bucketSql('\"timestamp\"', args.interval);\n\n // Compute all requested percentiles in a single query — Postgres allows\n // multiple `percentile_cont` aggregates per row, which avoids re-scanning.\n const acc = newFilterAccumulator();\n pushMetricNameFilter(acc, [args.name]);\n applyMetricFilters(acc, args.filters);\n\n const percentileSelect = percentileSelectSql(args.percentiles, '\"value\"');\n\n const sql = `\n SELECT ${bucket} AS bucket, ${percentileSelect}\n FROM ${qualifiedTable(schema, TABLE_METRIC_EVENTS)}\n ${whereOrEmpty(acc)}\n GROUP BY bucket\n ORDER BY bucket\n `;\n const rows = await client.manyOrNone>(sql, acc.params);\n\n return { series: percentileSeriesFromRows(rows, args.percentiles) };\n}\n","/**\n * Partition + extension management for the v-next Postgres observability domain.\n *\n * Three modes (auto-detected at init unless overridden by config):\n *\n * 1. TimescaleDB present → call `create_hypertable()` for each signal table.\n * Chunks are created automatically; we never\n * pre-create partitions and never call pg_partman.\n *\n * 2. pg_partman present → register each signal table as a daily-partitioned\n * parent and let partman maintain future partitions.\n *\n * 3. Neither extension → pre-create a rolling window of daily partitions\n * (yesterday + today + N future days). Future\n * partitions can be extended by a separate Mastra\n * CLI command, which is also the surface that will\n * implement retention cleanup.\n *\n * This module deliberately does not implement retention deletes / drops.\n * The goal here is to leave the schema in a shape that a follow-up\n * `mastra retention` command can act on without further migrations.\n */\n\nimport type { DbClient } from '../../../client';\nimport { ALL_SIGNAL_TABLES, qualifiedName, qualifiedTable, SIGNAL_TIME_COLUMN } from './ddl';\nimport { isDuplicateRelationError } from './pg-errors';\n\nexport type PartitionMode = 'timescale' | 'partman' | 'native';\n\nexport interface PartitioningOptions {\n /** Override auto-detection. */\n mode?: PartitionMode | 'auto';\n /**\n * Number of future daily partitions to pre-create when running in 'native'\n * mode. Default 14. Has no effect in timescale or partman modes.\n */\n futureDays?: number;\n /**\n * Whether to pre-create a partition for yesterday (covers small clock skew\n * and late-arriving events). Default true.\n */\n includeYesterday?: boolean;\n}\n\nconst DEFAULT_FUTURE_DAYS = 14;\n\n// ---------------------------------------------------------------------------\n// Extension detection\n// ---------------------------------------------------------------------------\n\nexport async function detectTimescale(client: DbClient): Promise {\n const row = await client.oneOrNone<{ exists: boolean }>(\n `SELECT EXISTS (SELECT 1 FROM pg_extension WHERE extname = 'timescaledb') AS \"exists\"`,\n );\n return Boolean(row?.exists);\n}\n\nexport async function detectPartman(client: DbClient): Promise {\n const row = await client.oneOrNone<{ exists: boolean }>(\n `SELECT EXISTS (SELECT 1 FROM pg_extension WHERE extname = 'pg_partman') AS \"exists\"`,\n );\n return Boolean(row?.exists);\n}\n\nexport async function getPartmanVersion(client: DbClient): Promise {\n const row = await client.oneOrNone<{ extversion: string }>(\n `SELECT extversion FROM pg_extension WHERE extname = 'pg_partman'`,\n );\n return row?.extversion ?? null;\n}\n\nfunction getPartmanMajor(version: string | null): number | null {\n if (!version) return null;\n const match = /^(\\d+)/.exec(version);\n return match ? Number(match[1]) : null;\n}\n\nexport async function resolveMode(client: DbClient, options: PartitioningOptions = {}): Promise {\n if (options.mode && options.mode !== 'auto') return options.mode;\n if (await detectTimescale(client)) return 'timescale';\n if (await detectPartman(client)) return 'partman';\n return 'native';\n}\n\n// ---------------------------------------------------------------------------\n// Native daily partition helpers\n// ---------------------------------------------------------------------------\n\nfunction dayBounds(d: Date): { start: string; end: string; suffix: string } {\n const year = d.getUTCFullYear();\n const month = String(d.getUTCMonth() + 1).padStart(2, '0');\n const day = String(d.getUTCDate()).padStart(2, '0');\n const start = `${year}-${month}-${day} 00:00:00+00`;\n const next = new Date(Date.UTC(year, d.getUTCMonth(), d.getUTCDate() + 1));\n const ny = next.getUTCFullYear();\n const nm = String(next.getUTCMonth() + 1).padStart(2, '0');\n const nd = String(next.getUTCDate()).padStart(2, '0');\n const end = `${ny}-${nm}-${nd} 00:00:00+00`;\n return { start, end, suffix: `${year}${month}${day}` };\n}\n\nfunction partitionName(table: string, suffix: string): string {\n return `${table}_p${suffix}`;\n}\n\n/**\n * Creates daily partition tables in [today - 1 day, today + futureDays].\n * Idempotent: uses CREATE TABLE IF NOT EXISTS.\n */\nexport async function ensureNativePartitions(\n client: DbClient,\n schema: string,\n options: PartitioningOptions = {},\n): Promise {\n const futureDays = options.futureDays ?? DEFAULT_FUTURE_DAYS;\n const includeYesterday = options.includeYesterday ?? true;\n const start = includeYesterday ? -1 : 0;\n // Freeze the base UTC day before the loop. If we recomputed `Date.now()`\n // inside the loop, a run that crossed midnight UTC could skip one expected\n // day for later tables and create an extra far-future partition for them.\n const baseNowMs = Date.now();\n\n for (const table of ALL_SIGNAL_TABLES) {\n for (let i = start; i <= futureDays; i++) {\n const d = new Date(baseNowMs + i * 86_400_000);\n const { start: partStart, end: partEnd, suffix } = dayBounds(d);\n const childName = partitionName(table, suffix);\n const child = qualifiedName(schema, childName);\n const parent = qualifiedTable(schema, table);\n // Two-phase partition creation. `CREATE TABLE ... PARTITION OF` takes\n // ACCESS EXCLUSIVE on the parent for the duration of the statement,\n // which blocks every concurrent read and write against every other\n // partition. Splitting into `CREATE TABLE (LIKE ...) + ALTER TABLE\n // ATTACH PARTITION` keeps the parent lock at SHARE UPDATE EXCLUSIVE\n // (since PG 12), which only blocks DDL and vacuum — concurrent\n // inserts and reads against today's partition keep flowing.\n //\n // Postgres requires partition bounds in `FOR VALUES FROM (…) TO (…)`\n // to be constant expressions at parse time — `$N` placeholders are\n // resolved at execution and so are rejected here. `partStart` /\n // `partEnd` are produced by `dayBounds()` (formatted from a JS Date)\n // and never touch user input, so the template interpolation is safe.\n try {\n // `LIKE parent INCLUDING ALL` copies columns, defaults, NOT NULL,\n // PRIMARY KEY, and indexes but not the parent's partition spec, so\n // the child becomes a regular table that can later be attached as\n // a partition. Index names are auto-generated per child and don't\n // collide across days.\n await client.none(`CREATE TABLE IF NOT EXISTS ${child} (LIKE ${parent} INCLUDING ALL)`);\n } catch (error) {\n // `CREATE TABLE IF NOT EXISTS` is not atomic under concurrency;\n // a parallel init() can win the race between the existence check\n // and the create. Treat the duplicate as success.\n if (!isDuplicateRelationError(error)) throw error;\n }\n\n try {\n // ATTACH PARTITION on an empty child is fast: there are no rows to\n // scan against the partition constraint, and the parent lock is\n // SHARE UPDATE EXCLUSIVE rather than ACCESS EXCLUSIVE.\n await client.none(\n `ALTER TABLE ${parent} ATTACH PARTITION ${child}\n FOR VALUES FROM ('${partStart}') TO ('${partEnd}')`,\n );\n } catch (error) {\n // The child can already be attached from a previous init() or from\n // a concurrent caller that won the race between our CREATE and\n // ATTACH. Either way, treat \"already a partition of this parent\"\n // as success.\n if (!isAlreadyAttachedError(error)) throw error;\n }\n }\n }\n}\n\n/**\n * `ALTER TABLE ATTACH PARTITION` fails with `42P17 invalid_object_definition`\n * when the target table is already a partition of *any* parent (including\n * the one we want). On older PG it can also surface as 42710 or a generic\n * message. We err on the side of treating any \"already a partition\" wording\n * as success so concurrent inits converge cleanly.\n */\nfunction isAlreadyAttachedError(error: unknown): boolean {\n const code = (error as { code?: string } | undefined)?.code;\n const message = (error as { message?: string } | undefined)?.message ?? '';\n if (code === '42P17' || code === '42710') {\n return /is already a partition/i.test(message) || /already a partition/i.test(message);\n }\n return /is already a partition/i.test(message);\n}\n\n/**\n * Lists existing daily partitions for a signal table. Used by tests and the\n * future `mastra retention` CLI command.\n */\nexport async function listPartitions(client: DbClient, schema: string, table: string): Promise {\n // Resolve the parent oid via pg_class/pg_namespace rather than casting a\n // hand-built string to regclass — regclass casts go through search_path\n // and throw on identifiers that don't resolve, even when the schema is\n // valid. The join is exact match on (nspname, relname) and works for any\n // schema regardless of search_path.\n const rows = await client.manyOrNone<{ partition: string }>(\n `SELECT inhrelid::regclass::text AS partition\n FROM pg_inherits\n WHERE inhparent = (\n SELECT c.oid\n FROM pg_class c\n JOIN pg_namespace n ON n.oid = c.relnamespace\n WHERE n.nspname = $1 AND c.relname = $2\n )\n ORDER BY 1`,\n [schema, table],\n );\n return rows.map(r => r.partition);\n}\n\n// ---------------------------------------------------------------------------\n// Timescale hypertable setup\n// ---------------------------------------------------------------------------\n\n/**\n * Calls `create_hypertable()` for each signal table.\n *\n * Postgres declarative partitioning and Timescale hypertables are mutually\n * exclusive, so the base DDL must have been generated with TableDDLMode\n * 'timescale' (no `PARTITION BY` clause). `if_not_exists` makes this\n * idempotent across re-inits.\n */\nexport async function ensureTimescaleHypertables(client: DbClient, schema: string): Promise {\n for (const table of ALL_SIGNAL_TABLES) {\n const tableExpr = qualifiedTable(schema, table);\n // SIGNAL_TIME_COLUMN values are hardcoded constants (`endedAt` /\n // `timestamp`). Inline them as string literals so `create_hypertable()`\n // receives a column name, not a SQL identifier from the surrounding\n // SELECT. Parameterizing this via `$N::name` has also been flaky on some\n // Timescale versions.\n const timeColumn = SIGNAL_TIME_COLUMN[table].replace(/'/g, \"''\");\n\n await client.none(\n `SELECT create_hypertable($1::regclass, '${timeColumn}', chunk_time_interval => INTERVAL '1 day', if_not_exists => true)`,\n [tableExpr],\n );\n }\n}\n\n// ---------------------------------------------------------------------------\n// pg_partman setup\n// ---------------------------------------------------------------------------\n\n/**\n * Registers each signal table with pg_partman as a daily-interval parent and\n * lets partman create the child partitions.\n *\n * Retention is intentionally NOT configured here — it stays opt-in via the\n * future Mastra CLI surface.\n *\n * Prefers the pg_partman 5.x+ declarative API (`p_type := 'range'`) and keeps\n * a 4.x fallback (`p_type := 'native'`) for older installs. That lets the\n * adapter run against current arm64-friendly images without breaking existing\n * 4.x deployments.\n */\nexport async function ensurePartmanHypertables(client: DbClient, schema: string): Promise {\n const partmanMajor = getPartmanMajor(await getPartmanVersion(client));\n\n for (const table of ALL_SIGNAL_TABLES) {\n const exists = await client.oneOrNone<{ exists: boolean }>(\n `SELECT EXISTS (\n SELECT 1 FROM partman.part_config\n WHERE parent_table = format('%I.%I', $1::text, $2::text)\n ) AS \"exists\"`,\n [schema, table],\n );\n if (exists?.exists) continue;\n\n // Race: between the EXISTS check above and the `create_parent` call\n // below, a concurrent init in another process can register the parent\n // first. pg_partman doesn't have an `IF NOT EXISTS`-style guard, and on\n // 5.x it can also deadlock one of the callers while racing on its\n // template table. Retry once or accept success if another caller already\n // installed the parent row.\n for (let attempt = 0; attempt < 3; attempt++) {\n try {\n if (partmanMajor != null && partmanMajor >= 5) {\n await client.none(\n `SELECT partman.create_parent(\n p_parent_table := format('%I.%I', $1::text, $2::text),\n p_control := $3,\n p_interval := '1 day',\n p_type := 'range'\n )`,\n [schema, table, SIGNAL_TIME_COLUMN[table]],\n );\n } else {\n await client.none(\n `SELECT partman.create_parent(\n p_parent_table := format('%I.%I', $1::text, $2::text),\n p_control := $3,\n p_type := 'native',\n p_interval := '1 day'\n )`,\n [schema, table, SIGNAL_TIME_COLUMN[table]],\n );\n }\n break;\n } catch (error) {\n const message = (error as { message?: string } | undefined)?.message ?? '';\n const code = (error as { code?: string } | undefined)?.code;\n const isDuplicate =\n code === '23505' ||\n /already managed by pg_partman/i.test(message) ||\n /relation .* already exists/i.test(message);\n if (isDuplicate) break;\n\n const isDeadlock = /deadlock detected/i.test(message);\n if (!isDeadlock) throw error;\n\n const registered = await client.oneOrNone<{ exists: boolean }>(\n `SELECT EXISTS (\n SELECT 1 FROM partman.part_config\n WHERE parent_table = format('%I.%I', $1::text, $2::text)\n ) AS \"exists\"`,\n [schema, table],\n );\n if (registered?.exists) break;\n if (attempt === 2) throw error;\n await new Promise(resolve => setTimeout(resolve, 25));\n }\n }\n }\n}\n\n// ---------------------------------------------------------------------------\n// Top-level dispatcher\n// ---------------------------------------------------------------------------\n\nexport async function setupPartitioning(\n client: DbClient,\n schema: string,\n options: PartitioningOptions = {},\n): Promise {\n const mode = await resolveMode(client, options);\n\n switch (mode) {\n case 'timescale':\n await ensureTimescaleHypertables(client, schema);\n return 'timescale';\n case 'partman':\n await ensurePartmanHypertables(client, schema);\n return 'partman';\n case 'native':\n await ensureNativePartitions(client, schema, options);\n return 'native';\n }\n}\n","/**\n * Age-based retention for the v-next Postgres observability domain.\n *\n * The signal tables are insert-only and day-partitioned (native declarative\n * partitions, pg_partman-managed partitions, or Timescale chunks), so\n * retention here is NOT the row-level batched `DELETE` used by the other\n * domains — it expires data the way the partition skeleton was designed for:\n *\n * - native / partman: `DETACH PARTITION` + `DROP TABLE` for every child\n * partition whose upper bound is at or before the cutoff. Detach-then-drop\n * keeps the parent lock window short, and dropping a whole day of events\n * is O(1) — no dead tuples, no WAL churn, no vacuum debt.\n * - timescale: `drop_chunks(older_than => cutoff)`, the Timescale-native\n * equivalent (only chunks wholly older than the cutoff are dropped).\n *\n * Because only *whole* partitions/chunks are dropped, the effective\n * granularity is one day: rows stay until the full day they belong to has\n * aged past `maxAge`. Empty future partitions (pre-created for routing) have\n * upper bounds in the future and are never touched.\n *\n * `PruneOptions` map onto partition drops: each dropped partition counts as\n * one batch (`maxBatches` caps partitions dropped per table per call),\n * `maxRows` stops before a drop that would exceed the row budget, and the\n * abort signal is checked between drops. `deleted` reports the number of\n * rows in the dropped partitions/chunks.\n */\n\nimport { parseDuration } from '@mastra/core/storage';\nimport type { PruneOptions, TableRetentionPolicy } from '@mastra/core/storage';\n\nimport type { DbClient } from '../../../client';\nimport { qualifiedName, qualifiedTable } from './ddl';\n\nexport interface PartitionPruneOutcome {\n deleted: number;\n done: boolean;\n}\n\n/** A child partition of a signal table, with its parsed upper time bound. */\ninterface ChildPartition {\n name: string;\n upperBound: Date;\n}\n\n/** Convert a policy's `maxAge` into a cutoff `Date`. */\nexport function retentionCutoff(policy: TableRetentionPolicy, now = Date.now()): Date {\n return new Date(now - parseDuration(policy.maxAge));\n}\n\n/**\n * Lists the child partitions of `table` along with their upper range bound,\n * parsed from `pg_get_expr(relpartbound)`. Children without a parseable\n * range bound (e.g. a DEFAULT partition) are skipped — we can't prove all\n * their rows are old, so they are never dropped.\n */\nasync function listChildPartitions(client: DbClient, schema: string, table: string): Promise {\n const rows = await client.manyOrNone<{ name: string; bound: string | null }>(\n `SELECT c.relname AS \"name\", pg_get_expr(c.relpartbound, c.oid) AS \"bound\"\n FROM pg_inherits i\n JOIN pg_class c ON c.oid = i.inhrelid\n JOIN pg_class p ON p.oid = i.inhparent\n JOIN pg_namespace n ON n.oid = p.relnamespace\n WHERE n.nspname = $1 AND p.relname = $2`,\n [schema, table],\n );\n\n const partitions: ChildPartition[] = [];\n for (const row of rows ?? []) {\n // Bound expression looks like: FOR VALUES FROM ('2026-07-01 00:00:00+00') TO ('2026-07-02 00:00:00+00')\n const match = /TO \\('([^']+)'\\)/.exec(row.bound ?? '');\n if (!match?.[1]) continue;\n const upperBound = new Date(match[1]);\n if (Number.isNaN(upperBound.getTime())) continue;\n partitions.push({ name: row.name, upperBound });\n }\n return partitions.sort((a, b) => a.upperBound.getTime() - b.upperBound.getTime());\n}\n\n/**\n * Drops every child partition of `table` whose upper bound is at or before\n * `cutoff` (i.e. every row in it is provably older than the cutoff).\n * Detaches first so the parent's ACCESS EXCLUSIVE window is a fast catalog\n * change, then drops the detached table. Used for both native and\n * pg_partman-managed partitions (partman children are ordinary declarative\n * partitions; partman's own retention does the same detach+drop).\n */\nexport async function prunePartitionedTable({\n client,\n schema,\n table,\n cutoff,\n options,\n}: {\n client: DbClient;\n schema: string;\n table: string;\n cutoff: Date;\n options?: PruneOptions;\n}): Promise {\n const partitions = await listChildPartitions(client, schema, table);\n const droppable = partitions.filter(p => p.upperBound.getTime() <= cutoff.getTime());\n\n let deleted = 0;\n let batches = 0;\n\n for (const partition of droppable) {\n if (options?.signal?.aborted) return { deleted, done: false };\n if (options?.maxBatches !== undefined && batches >= options.maxBatches) return { deleted, done: false };\n if (options?.maxRows !== undefined && deleted >= options.maxRows) return { deleted, done: false };\n\n const child = qualifiedName(schema, partition.name);\n const parent = qualifiedTable(schema, table);\n\n const row = await client.one<{ n: number }>(`SELECT count(*)::int AS \"n\" FROM ${child}`);\n\n // Detach first: a fast catalog-only lock on the parent, after which the\n // child is a plain table that can be dropped without touching the parent.\n await client.none(`ALTER TABLE ${parent} DETACH PARTITION ${child}`);\n await client.none(`DROP TABLE IF EXISTS ${child}`);\n\n deleted += row.n;\n batches += 1;\n }\n\n return { deleted, done: true };\n}\n\n/**\n * Drops every Timescale chunk of `table` wholly older than `cutoff` via\n * `drop_chunks()`. Row counts are taken from the eligible chunks (reported by\n * `show_chunks()`) before the drop. The whole `drop_chunks()` call is a\n * single batch: it either runs or is skipped when `maxBatches` is 0 or the\n * signal is already aborted.\n */\nexport async function pruneTimescaleTable({\n client,\n schema,\n table,\n cutoff,\n options,\n}: {\n client: DbClient;\n schema: string;\n table: string;\n cutoff: Date;\n options?: PruneOptions;\n}): Promise {\n if (options?.signal?.aborted || options?.maxBatches === 0) return { deleted: 0, done: false };\n\n const tableExpr = qualifiedTable(schema, table);\n\n const chunks = await client.manyOrNone<{ chunk: string }>(\n `SELECT show_chunks($1::regclass, older_than => $2::timestamptz)::text AS \"chunk\"`,\n [tableExpr, cutoff.toISOString()],\n );\n\n let deleted = 0;\n for (const { chunk } of chunks ?? []) {\n // Chunk names come from show_chunks() as already-qualified regclass text.\n const row = await client.one<{ n: number }>(`SELECT count(*)::int AS \"n\" FROM ${chunk}`);\n deleted += row.n;\n }\n\n await client.none(`SELECT drop_chunks($1::regclass, older_than => $2::timestamptz)`, [\n tableExpr,\n cutoff.toISOString(),\n ]);\n\n return { deleted, done: true };\n}\n","/**\n * Score operations for the v-next Postgres observability domain.\n *\n * Implements the full ObservabilityStorage score surface — write, list,\n * aggregate, breakdown, time series, and percentiles.\n */\n\nimport { listScoresArgsSchema } from '@mastra/core/storage';\nimport type {\n BatchCreateScoresArgs,\n CreateScoreArgs,\n DeleteScoresArgs,\n GetScoreAggregateArgs,\n GetScoreAggregateResponse,\n GetScoreBreakdownArgs,\n GetScoreBreakdownResponse,\n GetScorePercentilesArgs,\n GetScorePercentilesResponse,\n GetScoreTimeSeriesArgs,\n GetScoreTimeSeriesResponse,\n ListScoresArgs,\n ListScoresResponse,\n ScoreRecord,\n} from '@mastra/core/storage';\n\nimport type { DbClient } from '../../../client';\nimport { qualifiedTable, TABLE_SCORE_EVENTS } from './ddl';\nimport { applyCommonFilters, applySingleOrArrayFilter, newFilterAccumulator, whereOrEmpty } from './filters';\nimport { rowToScoreRecord, scoreRecordToRow } from './helpers';\nimport { listSignalDelta, listSignalPage } from './listing';\nimport {\n aggregationSql,\n bucketDate,\n bucketSql,\n changePercent,\n collectSeriesByDimensions,\n COMPLEX_GROUP_BY_EXCLUDED,\n dimensionsFromRow,\n percentileSelectSql,\n percentileSeriesFromRows,\n resolveGroupBy,\n seriesNameFromDimensions,\n shiftRange,\n validatePercentiles,\n} from './olap';\nimport { assertDeltaPollingEnabled, deltaPollingFeatureEnabled } from './polling';\nimport { SCORE_TYPED_COLUMNS } from './signal-schema';\nimport { buildInsert, SCORE_SELECT_COLUMNS } from './sql';\n\n// ---------------------------------------------------------------------------\n// Filter helpers specific to the score signal\n// ---------------------------------------------------------------------------\n\nfunction applyScoreFilters(\n acc: ReturnType,\n filters: Record | undefined,\n): void {\n applyCommonFilters(acc, filters);\n applySingleOrArrayFilter(acc, 'scorerId', filters?.scorerId);\n if (filters?.scoreSource ?? filters?.source) {\n acc.conditions.push(`\"scoreSource\" = $${acc.next++}`);\n acc.params.push(filters.scoreSource ?? filters.source);\n }\n if (filters?.metadata && Object.keys(filters.metadata).length > 0) {\n // Per-top-level-key exact equality (jsonb `=` normalizes formatting), matching in-memory semantics\n for (const [key, value] of Object.entries(filters.metadata)) {\n acc.conditions.push(`\"metadata\"->($${acc.next++}::text) = $${acc.next++}::jsonb`);\n acc.params.push(key, JSON.stringify(value ?? null));\n }\n }\n}\n\n/** OLAP queries take an explicit scorerId / scoreSource pair as identity. */\nfunction pushScoreIdentity(\n acc: ReturnType,\n scorerId: string,\n scoreSource: string | undefined,\n): void {\n acc.conditions.push(`\"scorerId\" = $${acc.next++}`);\n acc.params.push(scorerId);\n if (scoreSource !== undefined) {\n acc.conditions.push(`\"scoreSource\" = $${acc.next++}`);\n acc.params.push(scoreSource);\n }\n}\n\n// ---------------------------------------------------------------------------\n// Writes\n// ---------------------------------------------------------------------------\n\nexport async function createScore(client: DbClient, schema: string, args: CreateScoreArgs): Promise {\n const row = scoreRecordToRow(args.score);\n const insert = buildInsert(schema, TABLE_SCORE_EVENTS, [row]);\n if (insert) await client.query(insert.text, insert.values);\n}\n\nexport async function batchCreateScores(client: DbClient, schema: string, args: BatchCreateScoresArgs): Promise {\n if (args.scores.length === 0) return;\n const rows = args.scores.map(scoreRecordToRow);\n const insert = buildInsert(schema, TABLE_SCORE_EVENTS, rows);\n if (insert) await client.query(insert.text, insert.values);\n}\n\n// ---------------------------------------------------------------------------\n// Deletes\n// ---------------------------------------------------------------------------\n\n/**\n * Delete score events by scoreId. Optional `organizationId` and `resourceId`\n * values are ANDed into the predicate to restrict deletion to records with\n * matching scope fields.\n */\nexport async function deleteScores(client: DbClient, schema: string, args: DeleteScoresArgs): Promise {\n if (args.scoreIds.length === 0) return;\n const table = qualifiedTable(schema, TABLE_SCORE_EVENTS);\n const values: unknown[] = [...args.scoreIds];\n const placeholders = args.scoreIds.map((_, i) => `$${i + 1}`).join(', ');\n const conditions = [`\"scoreId\" IN (${placeholders})`];\n if (args.organizationId !== undefined) {\n values.push(args.organizationId);\n conditions.push(`\"organizationId\" = $${values.length}`);\n }\n if (args.resourceId !== undefined) {\n values.push(args.resourceId);\n conditions.push(`\"resourceId\" = $${values.length}`);\n }\n await client.query(`DELETE FROM ${table} WHERE ${conditions.join(' AND ')}`, values);\n}\n\n// ---------------------------------------------------------------------------\n// List\n// ---------------------------------------------------------------------------\n\nexport async function listScores(client: DbClient, schema: string, args: ListScoresArgs): Promise {\n const { mode, filters, pagination, orderBy, after, limit } = listScoresArgsSchema.parse(args);\n const table = qualifiedTable(schema, TABLE_SCORE_EVENTS);\n\n if (mode === 'delta') {\n assertDeltaPollingEnabled();\n return listScoresDelta(client, table, filters, after, limit);\n }\n\n return listScoresPage(client, table, filters, pagination.page, pagination.perPage, orderBy.field, orderBy.direction);\n}\n\nexport async function getScoreById(client: DbClient, schema: string, scoreId: string): Promise {\n const row = await client.oneOrNone>(\n `SELECT ${SCORE_SELECT_COLUMNS}\n FROM ${qualifiedTable(schema, TABLE_SCORE_EVENTS)}\n WHERE \"scoreId\" = $1\n ORDER BY \"timestamp\" DESC\n LIMIT 1`,\n [scoreId],\n );\n return row ? rowToScoreRecord(row) : null;\n}\n\nasync function listScoresPage(\n client: DbClient,\n table: string,\n filters: ListScoresArgs['filters'],\n page: number,\n perPage: number,\n orderField: 'timestamp' | 'score',\n orderDir: 'ASC' | 'DESC',\n): Promise {\n return listSignalPage({\n client,\n table,\n filters,\n page,\n perPage,\n orderField,\n orderDir,\n includeDeltaCursor: deltaPollingFeatureEnabled(),\n selectColumns: SCORE_SELECT_COLUMNS,\n responseKey: 'scores',\n applyFilters: applyScoreFilters,\n mapRow: rowToScoreRecord,\n });\n}\n\nasync function listScoresDelta(\n client: DbClient,\n table: string,\n filters: ListScoresArgs['filters'],\n after: string | undefined,\n limit: number,\n): Promise {\n return listSignalDelta({\n client,\n table,\n filters,\n after,\n limit,\n selectColumns: SCORE_SELECT_COLUMNS,\n responseKey: 'scores',\n applyFilters: applyScoreFilters,\n mapRow: rowToScoreRecord,\n });\n}\n\n// ---------------------------------------------------------------------------\n// OLAP — aggregate\n// ---------------------------------------------------------------------------\n\nasync function runScoreAggregateQuery(\n client: DbClient,\n schema: string,\n args: Pick,\n filters: Record | undefined,\n): Promise {\n const acc = newFilterAccumulator();\n pushScoreIdentity(acc, args.scorerId, args.scoreSource);\n applyScoreFilters(acc, filters);\n\n const sql = `\n SELECT ${aggregationSql(args.aggregation, '\"score\"')} AS \"value\"\n FROM ${qualifiedTable(schema, TABLE_SCORE_EVENTS)}\n ${whereOrEmpty(acc)}\n `;\n const row = await client.oneOrNone<{ value: unknown }>(sql, acc.params);\n return row?.value == null ? null : Number(row.value);\n}\n\nexport async function getScoreAggregate(\n client: DbClient,\n schema: string,\n args: GetScoreAggregateArgs,\n): Promise {\n const value = await runScoreAggregateQuery(client, schema, args, args.filters);\n\n if (args.comparePeriod && args.filters?.timestamp) {\n const prevRange = shiftRange(args.filters.timestamp, args.comparePeriod);\n if (prevRange) {\n const previousValue = await runScoreAggregateQuery(client, schema, args, {\n ...(args.filters ?? {}),\n timestamp: prevRange,\n });\n return {\n value,\n previousValue,\n changePercent: changePercent(value, previousValue),\n };\n }\n }\n return { value };\n}\n\n// ---------------------------------------------------------------------------\n// OLAP — breakdown\n// ---------------------------------------------------------------------------\n\nexport async function getScoreBreakdown(\n client: DbClient,\n schema: string,\n args: GetScoreBreakdownArgs,\n): Promise {\n const acc = newFilterAccumulator();\n // Score breakdowns only support typed columns (no jsonb labels).\n const resolved = resolveGroupBy(acc, args.groupBy, {\n typedColumns: SCORE_TYPED_COLUMNS,\n excludedColumns: COMPLEX_GROUP_BY_EXCLUDED,\n });\n pushScoreIdentity(acc, args.scorerId, args.scoreSource);\n applyScoreFilters(acc, args.filters);\n\n const sql = `\n SELECT ${resolved.map(e => e.selectSql).join(', ')},\n ${aggregationSql(args.aggregation, '\"score\"')} AS \"value\"\n FROM ${qualifiedTable(schema, TABLE_SCORE_EVENTS)}\n ${whereOrEmpty(acc)}\n GROUP BY ${resolved.map(e => e.alias).join(', ')}\n ORDER BY \"value\" DESC NULLS LAST\n `;\n const rows = await client.manyOrNone>(sql, acc.params);\n\n return {\n groups: rows.map(row => ({\n dimensions: dimensionsFromRow(row, resolved),\n value: Number(row.value ?? 0),\n })),\n };\n}\n\n// ---------------------------------------------------------------------------\n// OLAP — time series\n// ---------------------------------------------------------------------------\n\nexport async function getScoreTimeSeries(\n client: DbClient,\n schema: string,\n args: GetScoreTimeSeriesArgs,\n): Promise {\n const bucket = bucketSql('\"timestamp\"', args.interval);\n\n if (args.groupBy && args.groupBy.length > 0) {\n const acc = newFilterAccumulator();\n const resolved = resolveGroupBy(acc, args.groupBy, {\n typedColumns: SCORE_TYPED_COLUMNS,\n excludedColumns: COMPLEX_GROUP_BY_EXCLUDED,\n });\n pushScoreIdentity(acc, args.scorerId, args.scoreSource);\n applyScoreFilters(acc, args.filters);\n\n const sql = `\n SELECT ${bucket} AS bucket,\n ${resolved.map(e => e.selectSql).join(', ')},\n ${aggregationSql(args.aggregation, '\"score\"')} AS \"value\"\n FROM ${qualifiedTable(schema, TABLE_SCORE_EVENTS)}\n ${whereOrEmpty(acc)}\n GROUP BY bucket, ${resolved.map(e => e.alias).join(', ')}\n ORDER BY bucket\n `;\n const rows = await client.manyOrNone>(sql, acc.params);\n\n return {\n series: collectSeriesByDimensions(\n rows,\n resolved,\n dimValues => ({\n name: seriesNameFromDimensions(dimValues),\n points: [] as { timestamp: Date; value: number }[],\n }),\n (entry, row) => {\n entry.points.push({\n timestamp: bucketDate(row.bucket),\n value: Number(row.value ?? 0),\n });\n },\n ),\n };\n }\n\n const acc = newFilterAccumulator();\n pushScoreIdentity(acc, args.scorerId, args.scoreSource);\n applyScoreFilters(acc, args.filters);\n\n const sql = `\n SELECT ${bucket} AS bucket,\n ${aggregationSql(args.aggregation, '\"score\"')} AS \"value\"\n FROM ${qualifiedTable(schema, TABLE_SCORE_EVENTS)}\n ${whereOrEmpty(acc)}\n GROUP BY bucket\n ORDER BY bucket\n `;\n const rows = await client.manyOrNone>(sql, acc.params);\n\n const seriesName = args.scoreSource ? `${args.scorerId}|${args.scoreSource}` : args.scorerId;\n return {\n series: [\n {\n name: seriesName,\n points: rows.map(row => ({\n timestamp: bucketDate(row.bucket),\n value: Number(row.value ?? 0),\n })),\n },\n ],\n };\n}\n\n// ---------------------------------------------------------------------------\n// OLAP — percentiles\n// ---------------------------------------------------------------------------\n\nexport async function getScorePercentiles(\n client: DbClient,\n schema: string,\n args: GetScorePercentilesArgs,\n): Promise {\n validatePercentiles(args.percentiles);\n\n const bucket = bucketSql('\"timestamp\"', args.interval);\n const acc = newFilterAccumulator();\n pushScoreIdentity(acc, args.scorerId, args.scoreSource);\n applyScoreFilters(acc, args.filters);\n\n const percentileSelect = percentileSelectSql(args.percentiles, '\"score\"');\n\n const sql = `\n SELECT ${bucket} AS bucket, ${percentileSelect}\n FROM ${qualifiedTable(schema, TABLE_SCORE_EVENTS)}\n ${whereOrEmpty(acc)}\n GROUP BY bucket\n ORDER BY bucket\n `;\n const rows = await client.manyOrNone>(sql, acc.params);\n\n return { series: percentileSeriesFromRows(rows, args.percentiles) };\n}\n","import * as coreStorage from '@mastra/core/storage';\nimport type {\n QueryThreadsResult,\n TraceQueryCanonicalField,\n TraceQueryFeedbackField,\n TraceQueryField,\n TraceQueryPredicateField,\n TraceQueryResponse,\n TraceQueryScoreField,\n TraceQuerySpanField,\n TrustedThreadPredicate,\n TrustedThreadQueryPlan,\n TrustedTraceQueryPlan,\n TrustedTraceQueryPredicate,\n TrustedTraceQueryScalarPredicate,\n} from '@mastra/core/storage';\n\nimport type { DbClient, TxClient } from '../../../client';\nimport { qualifiedTable, TABLE_FEEDBACK_EVENTS, TABLE_SCORE_EVENTS, TABLE_SPAN_EVENTS } from './ddl';\n\ntype SqlFragment = { sql: string; values: unknown[] };\ntype FieldRegistry = Record;\ntype RelatedCollection = 'spans' | 'scores' | 'feedback';\ntype TraceSelection = {\n timeRange: { from: string; to: string };\n where?: TrustedTraceQueryPredicate;\n};\n\nconst TRACE_STATUS_SQL = `CASE WHEN r.\"error\" IS NOT NULL THEN 'error' ELSE 'success' END`;\n\nconst TRACE_FIELDS = {\n traceId: 'r.\"traceId\"',\n threadId: 'r.\"threadId\"',\n resourceId: 'r.\"resourceId\"',\n startedAt: 'r.\"startedAt\"',\n endedAt: 'r.\"endedAt\"',\n entityName: 'r.\"entityName\"',\n entityType: 'r.\"entityType\"',\n environment: 'r.\"environment\"',\n status: TRACE_STATUS_SQL,\n} satisfies FieldRegistry;\n\nconst SPAN_FIELDS = {\n name: 's.\"name\"',\n spanType: 's.\"spanType\"',\n model: 's.\"model\"',\n provider: 's.\"provider\"',\n startedAt: 's.\"startedAt\"',\n endedAt: 's.\"endedAt\"',\n durationMs: 's.\"durationMs\"',\n status: 's.\"status\"',\n error: 's.\"error\"',\n entityType: 's.\"entityType\"',\n entityId: 's.\"entityId\"',\n entityName: 's.\"entityName\"',\n entityVersionId: 's.\"entityVersionId\"',\n parentEntityVersionId: 's.\"parentEntityVersionId\"',\n rootEntityVersionId: 's.\"rootEntityVersionId\"',\n} satisfies FieldRegistry;\n\nconst SCORE_FIELDS = {\n scorerId: 's.\"scorerId\"',\n scorerVersion: 's.\"scorerVersion\"',\n scoreSource: 's.\"scoreSource\"',\n score: 's.\"score\"',\n timestamp: 's.\"timestamp\"',\n spanId: 's.\"spanId\"',\n entityVersionId: 's.\"entityVersionId\"',\n parentEntityVersionId: 's.\"parentEntityVersionId\"',\n rootEntityVersionId: 's.\"rootEntityVersionId\"',\n} satisfies FieldRegistry;\n\nconst FEEDBACK_FIELDS = {\n feedbackType: 's.\"feedbackType\"',\n feedbackSource: 's.\"feedbackSource\"',\n feedbackUserId: 's.\"feedbackUserId\"',\n sourceId: 's.\"sourceId\"',\n entityVersionId: 's.\"entityVersionId\"',\n parentEntityVersionId: 's.\"parentEntityVersionId\"',\n rootEntityVersionId: 's.\"rootEntityVersionId\"',\n timestamp: 's.\"timestamp\"',\n comment: 's.\"comment\"',\n} satisfies FieldRegistry>;\n\nconst TRACE_SELECT = `\n r.\"traceId\" AS \"traceId\",\n r.\"spanId\" AS \"rootSpanId\",\n r.\"threadId\" AS \"threadId\",\n r.\"resourceId\" AS \"resourceId\",\n r.\"startedAt\" AS \"startedAt\",\n r.\"endedAt\" AS \"endedAt\",\n r.\"entityName\" AS \"entityName\",\n r.\"entityType\" AS \"entityType\",\n r.\"environment\" AS \"environment\",\n ${TRACE_STATUS_SQL} AS \"status\"`;\n\nfunction fieldSql(\n registry: Partial>,\n field: TraceQueryCanonicalField,\n): string {\n const sql = registry[field as TField];\n if (sql === undefined) throw new Error(`Unsupported trusted trace-query field: ${field}`);\n return sql;\n}\n\nfunction isMetadataField(field: TraceQueryPredicateField): field is `metadata.${string}` {\n return field.startsWith('metadata.');\n}\n\nfunction placeholders(values: readonly unknown[], offset: number): string {\n return values.map((_, index) => `$${offset + index}`).join(', ');\n}\n\nfunction compileScalarPredicate(\n predicate: TrustedTraceQueryScalarPredicate,\n registry: Partial>,\n parameterOffset: number,\n allowMetadata = false,\n): SqlFragment {\n if (predicate.type === 'boolean') {\n const values: unknown[] = [];\n const parts = predicate.args.map(arg => {\n const compiled = compileScalarPredicate(arg, registry, parameterOffset + values.length, allowMetadata);\n values.push(...compiled.values);\n return `(${compiled.sql})`;\n });\n return { sql: parts.join(predicate.operator === 'and' ? ' AND ' : ' OR '), values };\n }\n\n if (predicate.type === 'not') {\n const compiled = compileScalarPredicate(predicate.arg, registry, parameterOffset, allowMetadata);\n return { sql: `NOT (${compiled.sql})`, values: compiled.values };\n }\n\n let field: string;\n let fieldValues: unknown[] = [];\n if (isMetadataField(predicate.field)) {\n if (!allowMetadata) throw new Error(`Unsupported trusted trace-query field: ${predicate.field}`);\n const keyParameter = `$${parameterOffset++}`;\n field = `COALESCE(\n CASE WHEN jsonb_typeof(r.\"metadataSearch\" -> ${keyParameter}) = 'string' THEN r.\"metadataSearch\" ->> ${keyParameter} END,\n CASE WHEN jsonb_typeof(r.\"metadataRaw\" -> ${keyParameter}) = 'string' THEN NULLIF(btrim(r.\"metadataRaw\" ->> ${keyParameter}), '') END\n )`;\n fieldValues = [predicate.field.slice('metadata.'.length)];\n } else {\n field = fieldSql(registry, predicate.field);\n }\n\n if (predicate.type === 'presence') {\n return {\n sql: `${field} IS ${predicate.operator === 'exists' ? 'NOT ' : ''}NULL`,\n values: fieldValues,\n };\n }\n\n if (predicate.type === 'membership') {\n const list = placeholders(predicate.values, parameterOffset);\n if (predicate.operator === 'in') {\n return { sql: `${field} IS NOT NULL AND ${field} IN (${list})`, values: [...fieldValues, ...predicate.values] };\n }\n return { sql: `${field} IS NULL OR ${field} NOT IN (${list})`, values: [...fieldValues, ...predicate.values] };\n }\n\n const parameter = `$${parameterOffset}`;\n const operators = { lt: '<', lte: '<=', gt: '>', gte: '>=' } as const;\n if (predicate.operator === 'eq') {\n return { sql: `${field} IS NOT DISTINCT FROM ${parameter}`, values: [...fieldValues, predicate.value] };\n }\n if (predicate.operator === 'ne') {\n return { sql: `${field} IS DISTINCT FROM ${parameter}`, values: [...fieldValues, predicate.value] };\n }\n const operator = operators[predicate.operator];\n if (operator === undefined) throw new Error(`Unsupported trusted trace-query operator: ${predicate.operator}`);\n return {\n sql: `${field} IS NOT NULL AND ${field} ${operator} ${parameter}`,\n values: [...fieldValues, predicate.value],\n };\n}\n\nfunction compileFeedbackScalarPredicate(\n predicate: TrustedTraceQueryScalarPredicate,\n parameterOffset: number,\n): SqlFragment {\n if (predicate.type === 'boolean') {\n const values: unknown[] = [];\n const parts = predicate.args.map(arg => {\n const compiled = compileFeedbackScalarPredicate(arg, parameterOffset + values.length);\n values.push(...compiled.values);\n return `(${compiled.sql})`;\n });\n return { sql: parts.join(predicate.operator === 'and' ? ' AND ' : ' OR '), values };\n }\n if (predicate.type === 'not') {\n const compiled = compileFeedbackScalarPredicate(predicate.arg, parameterOffset);\n return { sql: `NOT (${compiled.sql})`, values: compiled.values };\n }\n if (predicate.field !== 'value') {\n return compileScalarPredicate(predicate, FEEDBACK_FIELDS, parameterOffset);\n }\n if (predicate.type === 'presence') {\n const present = `(s.\"valueString\" IS NOT NULL OR s.\"valueNumber\" IS NOT NULL)`;\n return { sql: predicate.operator === 'exists' ? present : `NOT ${present}`, values: [] };\n }\n const sample = predicate.type === 'membership' ? predicate.values[0] : predicate.value;\n const field = typeof sample === 'number' ? 's.\"valueNumber\"' : 's.\"valueString\"';\n return compileScalarPredicate(predicate, { value: field }, parameterOffset);\n}\n\nfunction latestRootPredicate(spanTable: string): string {\n return `NOT EXISTS (\n SELECT 1 FROM ${spanTable} newer\n WHERE newer.\"traceId\" = r.\"traceId\"\n AND newer.\"parentSpanId\" IS NULL\n AND newer.\"cursorId\" > r.\"cursorId\"\n )`;\n}\n\nfunction latestSpanPredicate(spanTable: string): string {\n return `NOT EXISTS (\n SELECT 1 FROM ${spanTable} newer\n WHERE newer.\"traceId\" = s.\"traceId\"\n AND newer.\"spanId\" = s.\"spanId\"\n AND (newer.\"isPending\" < s.\"isPending\" OR (newer.\"isPending\" = s.\"isPending\" AND newer.\"cursorId\" > s.\"cursorId\"))\n )`;\n}\n\nfunction latestScorePredicate(scoreTable: string): string {\n return `NOT EXISTS (\n SELECT 1 FROM ${scoreTable} newer\n WHERE newer.\"scoreId\" = s.\"scoreId\"\n AND newer.\"cursorId\" > s.\"cursorId\"\n )`;\n}\n\nfunction latestFeedbackPredicate(feedbackTable: string): string {\n return `NOT EXISTS (\n SELECT 1 FROM ${feedbackTable} newer\n WHERE newer.\"feedbackId\" = s.\"feedbackId\"\n AND newer.\"cursorId\" > s.\"cursorId\"\n )`;\n}\n\nfunction collectRelationCollections(\n predicate: TrustedTraceQueryPredicate | undefined,\n collections = new Set(),\n): Set {\n if (!predicate) return collections;\n if (predicate.type === 'relation') {\n collections.add(predicate.collection);\n } else if (predicate.type === 'boolean') {\n for (const arg of predicate.args) collectRelationCollections(arg, collections);\n } else if (predicate.type === 'not') {\n collectRelationCollections(predicate.arg, collections);\n }\n return collections;\n}\n\nfunction collectThreadRelationCollections(\n predicate: TrustedThreadPredicate | undefined,\n collections: Set,\n): Set {\n if (!predicate) return collections;\n if (predicate.type === 'relation') {\n collectRelationCollections(predicate.predicate, collections);\n } else if (predicate.type === 'boolean') {\n for (const arg of predicate.args) collectThreadRelationCollections(arg, collections);\n } else {\n collectThreadRelationCollections(predicate.arg, collections);\n }\n return collections;\n}\n\nfunction compilePredicate(predicate: TrustedTraceQueryPredicate, parameterOffset: number): SqlFragment {\n if (predicate.type === 'relation') {\n const compiled =\n predicate.collection === 'feedback'\n ? compileFeedbackScalarPredicate(predicate.predicate, parameterOffset)\n : compileScalarPredicate(\n predicate.predicate,\n predicate.collection === 'spans' ? SPAN_FIELDS : SCORE_FIELDS,\n parameterOffset,\n );\n const table =\n predicate.collection === 'spans'\n ? 'current_spans'\n : predicate.collection === 'scores'\n ? 'current_scores'\n : 'current_feedback';\n const existence = `EXISTS (\n SELECT 1 FROM ${table} s\n WHERE s.\"traceId\" IS NOT NULL\n AND s.\"traceId\" = r.\"traceId\"\n AND (${compiled.sql})\n )`;\n return {\n sql: predicate.quantifier === 'some' ? existence : `NOT ${existence}`,\n values: compiled.values,\n };\n }\n\n if (predicate.type === 'boolean') {\n const values: unknown[] = [];\n const parts = predicate.args.map(arg => {\n const compiled = compilePredicate(arg, parameterOffset + values.length);\n values.push(...compiled.values);\n return `(${compiled.sql})`;\n });\n return { sql: parts.join(predicate.operator === 'and' ? ' AND ' : ' OR '), values };\n }\n\n if (predicate.type === 'not') {\n const compiled = compilePredicate(predicate.arg, parameterOffset);\n return { sql: `NOT (${compiled.sql})`, values: compiled.values };\n }\n\n return compileScalarPredicate(predicate, TRACE_FIELDS, parameterOffset, true);\n}\n\nfunction compileThreadPredicate(predicate: TrustedThreadPredicate, parameterOffset: number): SqlFragment {\n if (predicate.type === 'relation') {\n const compiled = compilePredicate(predicate.predicate, parameterOffset);\n const existence = `EXISTS (\n SELECT 1 FROM eligible_roots r\n WHERE r.\"threadId\" = t.\"threadId\"\n AND (${compiled.sql})\n )`;\n return {\n sql: predicate.quantifier === 'some' ? existence : `NOT ${existence}`,\n values: compiled.values,\n };\n }\n\n if (predicate.type === 'boolean') {\n const values: unknown[] = [];\n const parts = predicate.args.map(arg => {\n const compiled = compileThreadPredicate(arg, parameterOffset + values.length);\n values.push(...compiled.values);\n return `(${compiled.sql})`;\n });\n return { sql: parts.join(predicate.operator === 'and' ? ' AND ' : ' OR '), values };\n }\n\n const compiled = compileThreadPredicate(predicate.arg, parameterOffset);\n return { sql: `NOT (${compiled.sql})`, values: compiled.values };\n}\n\nexport interface CompiledPostgresTraceQuery {\n text: string;\n values: unknown[];\n}\n\nfunction compilePostgresTraceScope(\n schema: string,\n selection: TraceSelection,\n relationCollections: Set,\n): { ctes: string[]; values: unknown[] } {\n const spanTable = qualifiedTable(schema, TABLE_SPAN_EVENTS);\n const scoreTable = qualifiedTable(schema, TABLE_SCORE_EVENTS);\n const feedbackTable = qualifiedTable(schema, TABLE_FEEDBACK_EVENTS);\n const values: unknown[] = [selection.timeRange.from, selection.timeRange.to];\n const rootConditions = [\n `r.\"parentSpanId\" IS NULL`,\n latestRootPredicate(spanTable),\n `NOT r.\"isPending\"`,\n `r.\"endedAt\" IS NOT NULL`,\n `r.\"startedAt\" >= $1`,\n `r.\"startedAt\" < $2`,\n ];\n const ctes = [\n `root_scope AS MATERIALIZED (\n SELECT *\n FROM ${spanTable} r\n WHERE ${rootConditions.join('\\n AND ')}\n )`,\n ];\n\n if (relationCollections.has('spans')) {\n ctes.push(`current_spans AS MATERIALIZED (\n SELECT\n s.\"traceId\",\n s.\"name\",\n s.\"spanType\",\n CASE WHEN jsonb_typeof(s.\"attributes\" -> 'model') = 'string' THEN s.\"attributes\" ->> 'model' END AS \"model\",\n CASE WHEN jsonb_typeof(s.\"attributes\" -> 'provider') = 'string' THEN s.\"attributes\" ->> 'provider' END AS \"provider\",\n s.\"startedAt\",\n CASE WHEN s.\"isPending\" THEN NULL ELSE s.\"endedAt\" END AS \"endedAt\",\n CASE\n WHEN s.\"isPending\" THEN NULL\n ELSE EXTRACT(EPOCH FROM (s.\"endedAt\" - s.\"startedAt\")) * 1000\n END AS \"durationMs\",\n CASE WHEN s.\"error\" IS NOT NULL THEN 'error' ELSE 'success' END AS \"status\",\n s.\"error\",\n s.\"entityType\",\n s.\"entityId\",\n s.\"entityName\",\n s.\"entityVersionId\",\n s.\"parentEntityVersionId\",\n s.\"rootEntityVersionId\"\n FROM ${spanTable} s\n WHERE s.\"traceId\" IS NOT NULL\n AND s.\"traceId\" IN (SELECT \"traceId\" FROM root_scope)\n AND ${latestSpanPredicate(spanTable)}\n )`);\n }\n if (relationCollections.has('scores')) {\n ctes.push(`current_scores AS MATERIALIZED (\n SELECT\n s.\"traceId\",\n s.\"spanId\",\n s.\"timestamp\",\n s.\"scorerId\",\n s.\"scorerVersion\",\n s.\"scoreSource\",\n s.\"score\",\n s.\"entityVersionId\",\n s.\"parentEntityVersionId\",\n s.\"rootEntityVersionId\"\n FROM ${scoreTable} s\n WHERE s.\"traceId\" IS NOT NULL\n AND s.\"traceId\" IN (SELECT \"traceId\" FROM root_scope)\n AND ${latestScorePredicate(scoreTable)}\n )`);\n }\n if (relationCollections.has('feedback')) {\n ctes.push(`current_feedback AS MATERIALIZED (\n SELECT\n s.\"traceId\",\n s.\"feedbackType\",\n s.\"feedbackSource\",\n s.\"feedbackUserId\",\n s.\"sourceId\",\n s.\"valueString\",\n s.\"valueNumber\",\n s.\"comment\",\n s.\"timestamp\",\n s.\"entityVersionId\",\n s.\"parentEntityVersionId\",\n s.\"rootEntityVersionId\"\n FROM ${feedbackTable} s\n WHERE s.\"traceId\" IS NOT NULL\n AND s.\"traceId\" IN (SELECT \"traceId\" FROM root_scope)\n AND ${latestFeedbackPredicate(feedbackTable)}\n )`);\n }\n\n return { ctes, values };\n}\n\nexport function compilePostgresTraceQuery(schema: string, plan: TrustedTraceQueryPlan): CompiledPostgresTraceQuery {\n const relationCollections = collectRelationCollections(plan.where);\n const { ctes, values } = compilePostgresTraceScope(schema, plan, relationCollections);\n\n let predicateSql = 'TRUE';\n if (plan.where) {\n const predicate = compilePredicate(plan.where, values.length + 1);\n predicateSql = predicate.sql;\n values.push(...predicate.values);\n }\n ctes.push(`candidates AS (\n SELECT ${TRACE_SELECT}\n FROM root_scope r\n WHERE ${predicateSql}\n )`);\n const candidates = `WITH ${ctes.join(',\\n')}`;\n\n if (plan.result === 'groups') {\n const pageCondition = plan.cursor ? `AND \"threadId\" > $${values.length + 1}` : '';\n if (plan.cursor) values.push(plan.cursor.threadId);\n values.push(plan.limit + 1);\n return {\n text: `${candidates}\nSELECT \"threadId\"\nFROM candidates\nWHERE \"threadId\" IS NOT NULL ${pageCondition}\nGROUP BY \"threadId\"\nORDER BY \"threadId\" ASC\nLIMIT $${values.length}`,\n values,\n };\n }\n\n const orderField = plan.orderBy.field === 'startedAt' ? '\"startedAt\"' : '\"endedAt\"';\n const direction = plan.orderBy.direction === 'asc' ? 'ASC' : 'DESC';\n let pageCondition = '';\n if (plan.cursor) {\n const comparison = plan.orderBy.direction === 'asc' ? '>' : '<';\n const sortParameter = `$${values.length + 1}`;\n const idParameter = `$${values.length + 2}`;\n pageCondition = `WHERE (${orderField} ${comparison} ${sortParameter} OR (${orderField} = ${sortParameter} AND \"traceId\" > ${idParameter}))`;\n values.push(plan.cursor.sortValue, plan.cursor.traceId);\n }\n values.push(plan.limit + 1);\n\n return {\n text: `${candidates}\nSELECT *\nFROM candidates\n${pageCondition}\nORDER BY ${orderField} ${direction}, \"traceId\" ASC\nLIMIT $${values.length}`,\n values,\n };\n}\n\nexport function compilePostgresThreadQuery(schema: string, plan: TrustedThreadQueryPlan): CompiledPostgresTraceQuery {\n const relationCollections = collectRelationCollections(plan.traces.where);\n collectThreadRelationCollections(plan.where, relationCollections);\n const { ctes, values } = compilePostgresTraceScope(schema, plan.traces, relationCollections);\n\n let eligibilitySql = 'TRUE';\n if (plan.traces.where) {\n const eligibility = compilePredicate(plan.traces.where, values.length + 1);\n eligibilitySql = eligibility.sql;\n values.push(...eligibility.values);\n }\n ctes.push(`eligible_roots AS MATERIALIZED (\n SELECT *\n FROM root_scope r\n WHERE ${eligibilitySql}\n )`);\n ctes.push(`thread_ids AS (\n SELECT \"threadId\" COLLATE \"C\" AS \"threadId\"\n FROM eligible_roots\n WHERE \"threadId\" IS NOT NULL\n GROUP BY \"threadId\" COLLATE \"C\"\n )`);\n\n let threadPredicateSql = 'TRUE';\n if (plan.where) {\n const predicate = compileThreadPredicate(plan.where, values.length + 1);\n threadPredicateSql = predicate.sql;\n values.push(...predicate.values);\n }\n ctes.push(`qualified_threads AS (\n SELECT t.\"threadId\"\n FROM thread_ids t\n WHERE ${threadPredicateSql}\n )`);\n\n const pageCondition = plan.cursor ? `WHERE \"threadId\" > $${values.length + 1}` : '';\n if (plan.cursor) values.push(plan.cursor.threadId);\n values.push(plan.limit + 1);\n\n return {\n text: `WITH ${ctes.join(',\\n')}\nSELECT \"threadId\"\nFROM qualified_threads\n${pageCondition}\nORDER BY \"threadId\" ASC\nLIMIT $${values.length}`,\n values,\n };\n}\n\nfunction asIsoTimestamp(value: unknown): string {\n if (value === null || value === undefined) throw new Error('Trace query returned a null timestamp');\n return value instanceof Date ? value.toISOString() : new Date(value as string | number).toISOString();\n}\n\nfunction isPostgresStatementTimeout(error: unknown): boolean {\n if (!error || typeof error !== 'object') return false;\n const candidate = error as { code?: unknown; message?: unknown };\n return candidate.code === '57014' && String(candidate.message ?? '').includes('statement timeout');\n}\n\nexport async function runWithPostgresTraceQueryTimeout(\n client: DbClient,\n timeoutMs: number,\n execute: (transaction: TxClient) => Promise,\n): Promise {\n const resolvedTimeoutMs = coreStorage.resolveTraceQueryTimeoutMs(timeoutMs);\n try {\n return await client.tx(async transaction => {\n await transaction.query(`SELECT set_config('statement_timeout', $1, true)`, [`${resolvedTimeoutMs}ms`]);\n return execute(transaction);\n });\n } catch (error) {\n if (isPostgresStatementTimeout(error)) throw new coreStorage.TraceQueryExecutionError();\n throw error;\n }\n}\n\nexport async function queryTraces(\n client: DbClient,\n schema: string,\n plan: TrustedTraceQueryPlan,\n timeoutMs: number,\n): Promise {\n const query = compilePostgresTraceQuery(schema, plan);\n const rows = await runWithPostgresTraceQueryTimeout(client, timeoutMs, transaction =>\n transaction.any>(query.text, query.values),\n );\n const visibleRows = rows.slice(0, plan.limit);\n\n if (plan.result === 'groups') {\n const groups = visibleRows.map(row => ({ threadId: String(row.threadId) }));\n const last = groups.at(-1);\n return coreStorage.traceQueryResponseSchema.parse({\n groups,\n page: {\n next:\n rows.length > plan.limit && last\n ? coreStorage.encodeTraceQueryCursor(plan, { result: 'groups', threadId: last.threadId })\n : null,\n },\n });\n }\n\n const traces = visibleRows.map(row => ({\n traceId: String(row.traceId),\n rootSpanId: String(row.rootSpanId),\n threadId: row.threadId == null ? null : String(row.threadId),\n resourceId: row.resourceId == null ? null : String(row.resourceId),\n startedAt: asIsoTimestamp(row.startedAt),\n endedAt: asIsoTimestamp(row.endedAt),\n entityName: row.entityName == null ? null : String(row.entityName),\n entityType: row.entityType == null ? null : String(row.entityType),\n environment: row.environment == null ? null : String(row.environment),\n status: row.status,\n }));\n const last = traces.at(-1);\n return coreStorage.traceQueryResponseSchema.parse({\n traces,\n page: {\n next:\n rows.length > plan.limit && last\n ? coreStorage.encodeTraceQueryCursor(plan, {\n result: 'traces',\n sortValue: last[plan.orderBy.field],\n traceId: last.traceId,\n })\n : null,\n },\n });\n}\n\nexport async function queryThreads(\n client: DbClient,\n schema: string,\n plan: TrustedThreadQueryPlan,\n timeoutMs: number,\n): Promise {\n const query = compilePostgresThreadQuery(schema, plan);\n const rows = await runWithPostgresTraceQueryTimeout(client, timeoutMs, transaction =>\n transaction.any>(query.text, query.values),\n );\n const threads = rows.slice(0, plan.limit).map(row => ({ threadId: String(row.threadId) }));\n const last = threads.at(-1);\n return coreStorage.queryThreadsResultSchema.parse({\n threads,\n page: {\n next:\n rows.length > plan.limit && last\n ? coreStorage.encodeTraceQueryCursor(plan, { result: 'threads', threadId: last.threadId })\n : null,\n },\n });\n}\n","/**\n * Trace / branch list reads for the v-next Postgres observability domain.\n *\n * - `listTraces` / `getRootSpan` filter by `parentSpanId IS NULL`. The partial\n * indexes declared in ddl.ts make this predicate selective enough to act as\n * the root-span projection without a separate table.\n * - `listBranches` filters by `spanType IN (BRANCH_SPAN_TYPES)` (or the\n * user-supplied spanType when it's a branch type). Branches include nested\n * anchors as well as root spans of the listed types.\n */\n\nimport {\n BRANCH_SPAN_TYPES,\n listBranchesArgsSchema,\n listTracesArgsSchema,\n TraceStatus,\n toTraceSpans,\n} from '@mastra/core/storage';\nimport type {\n GetRootSpanArgs,\n GetRootSpanResponse,\n ListBranchesArgs,\n ListBranchesResponse,\n ListTracesArgs,\n ListTracesResponse,\n SpanRecord,\n} from '@mastra/core/storage';\n\nimport type { DbClient } from '../../../client';\nimport { qualifiedTable, TABLE_SPAN_EVENTS } from './ddl';\nimport { rowToSpanRecord } from './helpers';\nimport {\n assertDeltaPollingEnabled,\n decodeDeltaCursor,\n deltaPollingFeatureEnabled,\n encodeDeltaCursor,\n readSafeXactHorizon,\n} from './polling';\nimport { SPAN_SELECT_COLUMNS } from './sql';\n\nfunction asIsoTimestamp(value: unknown): string {\n return value instanceof Date ? value.toISOString() : new Date(value as string | number).toISOString();\n}\n\n/**\n * Ordering that picks the row representing a trace's current root.\n *\n * A trace can hold more than one root row. A span is written once when it\n * starts and again when it ends, and a durable run that suspends ends its root\n * span and opens a fresh one on resume. In both cases the newest row is the one\n * that describes the trace right now, and `cursorId` — a sequence assigned at\n * insert — is what \"newest\" means here. It also orders correctly where\n * timestamps cannot: a zero-duration span has `startedAt = endedAt`, and a\n * resumed root starts after the suspended root ended.\n */\nconst ROOT_COLLAPSE_ORDER = '\"cursorId\" DESC';\n\n/**\n * Predicate that keeps only the winning row for each span — the ended row when\n * one exists, the newest row otherwise. Mirrors `SPAN_COLLAPSE_ORDER` as an\n * anti-join, for the same reason as {@link latestRootPredicate}.\n */\nfunction latestSpanPredicate(spanTable: string): string {\n return `NOT EXISTS (\n SELECT 1 FROM ${spanTable} newer\n WHERE newer.\"traceId\" = r.\"traceId\"\n AND newer.\"spanId\" = r.\"spanId\"\n AND (newer.\"isPending\" < r.\"isPending\" OR (newer.\"isPending\" = r.\"isPending\" AND newer.\"cursorId\" > r.\"cursorId\"))\n )`;\n}\n\n/**\n * Predicate that keeps only a trace's current root row, as an anti-join rather\n * than a `DISTINCT ON`. Written this way so the outer query still scans the\n * partial root indexes and streams rows in `LIMIT`-order; grouping first would\n * force every root in the table to be read before the first page came back.\n */\nfunction latestRootPredicate(spanTable: string): string {\n return `NOT EXISTS (\n SELECT 1 FROM ${spanTable} newer\n WHERE newer.\"traceId\" = r.\"traceId\"\n AND newer.\"parentSpanId\" IS NULL\n AND newer.\"cursorId\" > r.\"cursorId\"\n )`;\n}\n\nexport async function getRootSpan(\n client: DbClient,\n schema: string,\n args: GetRootSpanArgs,\n): Promise {\n const table = qualifiedTable(schema, TABLE_SPAN_EVENTS);\n const row = await client.oneOrNone>(\n `SELECT ${SPAN_SELECT_COLUMNS}\n FROM ${table}\n WHERE \"traceId\" = $1 AND \"parentSpanId\" IS NULL\n ORDER BY ${ROOT_COLLAPSE_ORDER}\n LIMIT 1`,\n [args.traceId],\n );\n if (!row) return null;\n return { span: rowToSpanRecord(row) };\n}\n\n/**\n * Build the WHERE conditions and bind params for a listTraces query against\n * `mastra_span_events r`. Always prepends the root-span predicate so the\n * partial root indexes (and the partial cursor index) get picked up by the\n * planner. Starts numbering from `nextParamIdx`.\n */\nfunction buildListTracesFilters(\n filters: ListTracesArgs['filters'],\n spanTable: string,\n nextParamIdx: number,\n): { conditions: string[]; params: unknown[]; nextParamIdx: number } {\n const conditions: string[] = [`r.\"parentSpanId\" IS NULL`, latestRootPredicate(spanTable)];\n const params: unknown[] = [];\n let i = nextParamIdx;\n\n if (!filters) {\n return { conditions, params, nextParamIdx: i };\n }\n\n if (filters.startedAt?.start) {\n conditions.push(`r.\"startedAt\" ${filters.startedAt.startExclusive ? '>' : '>='} $${i++}`);\n params.push(asIsoTimestamp(filters.startedAt.start));\n }\n if (filters.startedAt?.end) {\n conditions.push(`r.\"startedAt\" ${filters.startedAt.endExclusive ? '<' : '<='} $${i++}`);\n params.push(asIsoTimestamp(filters.startedAt.end));\n }\n // A pending row stores a placeholder `endedAt`, so an endedAt range filter\n // has to exclude it: a span that has not ended has no end time to match.\n if (filters.endedAt?.start) {\n conditions.push(`(NOT r.\"isPending\" AND r.\"endedAt\" ${filters.endedAt.startExclusive ? '>' : '>='} $${i++})`);\n params.push(asIsoTimestamp(filters.endedAt.start));\n }\n if (filters.endedAt?.end) {\n conditions.push(`(NOT r.\"isPending\" AND r.\"endedAt\" ${filters.endedAt.endExclusive ? '<' : '<='} $${i++})`);\n params.push(asIsoTimestamp(filters.endedAt.end));\n }\n if (filters.spanType !== undefined) {\n conditions.push(`r.\"spanType\" = $${i++}`);\n params.push(filters.spanType);\n }\n if (filters.entityType !== undefined) {\n conditions.push(`r.\"entityType\" = $${i++}`);\n params.push(filters.entityType);\n }\n if (filters.entityId !== undefined) {\n conditions.push(`r.\"entityId\" = $${i++}`);\n params.push(filters.entityId);\n }\n if (filters.entityName !== undefined) {\n conditions.push(`r.\"entityName\" = $${i++}`);\n params.push(filters.entityName);\n }\n if (filters.userId !== undefined) {\n conditions.push(`r.\"userId\" = $${i++}`);\n params.push(filters.userId);\n }\n if (filters.organizationId !== undefined) {\n conditions.push(`r.\"organizationId\" = $${i++}`);\n params.push(filters.organizationId);\n }\n if (filters.resourceId !== undefined) {\n conditions.push(`r.\"resourceId\" = $${i++}`);\n params.push(filters.resourceId);\n }\n if (filters.runId !== undefined) {\n conditions.push(`r.\"runId\" = $${i++}`);\n params.push(filters.runId);\n }\n if (filters.sessionId !== undefined) {\n conditions.push(`r.\"sessionId\" = $${i++}`);\n params.push(filters.sessionId);\n }\n if (filters.threadId !== undefined) {\n conditions.push(`r.\"threadId\" = $${i++}`);\n params.push(filters.threadId);\n }\n if (filters.requestId !== undefined) {\n conditions.push(`r.\"requestId\" = $${i++}`);\n params.push(filters.requestId);\n }\n if (filters.environment !== undefined) {\n conditions.push(`r.\"environment\" = $${i++}`);\n params.push(filters.environment);\n }\n if (filters.source !== undefined) {\n conditions.push(`r.\"executionSource\" = $${i++}`);\n params.push(filters.source);\n }\n if (filters.serviceName !== undefined) {\n conditions.push(`r.\"serviceName\" = $${i++}`);\n params.push(filters.serviceName);\n }\n if (filters.metadata != null) {\n conditions.push(`r.\"metadataSearch\" @> $${i++}::jsonb`);\n params.push(JSON.stringify(filters.metadata));\n }\n if (filters.tags != null && filters.tags.length > 0) {\n conditions.push(`r.\"tags\" @> $${i++}::text[]`);\n params.push(filters.tags);\n }\n if (filters.status !== undefined) {\n switch (filters.status) {\n case TraceStatus.ERROR:\n conditions.push(`r.\"error\" IS NOT NULL`);\n break;\n case TraceStatus.RUNNING:\n conditions.push(`r.\"isPending\"`);\n break;\n case TraceStatus.SUCCESS:\n conditions.push(`r.\"error\" IS NULL AND NOT r.\"isPending\"`);\n break;\n }\n }\n if (filters.hasChildError !== undefined) {\n const sub = `EXISTS (\n SELECT 1 FROM ${spanTable} c\n WHERE c.\"traceId\" = r.\"traceId\" AND c.\"spanId\" <> r.\"spanId\" AND c.\"error\" IS NOT NULL\n )`;\n conditions.push(filters.hasChildError ? sub : `NOT ${sub}`);\n }\n\n return { conditions, params, nextParamIdx: i };\n}\n\n/**\n * Project the standard span columns with the `r.` alias prefix.\n *\n * Built by string-munging `SPAN_SELECT_COLUMNS` (a constant in sql.ts) at\n * module load. This works because every entry in that list is a bare\n * column name like `\"traceId\"` — no expressions, no functions. If anyone\n * ever adds something like `COALESCE(...)` to `SPAN_SELECT_COLUMNS`, the\n * naive split-on-comma breaks. Keep both lists shaped as plain column\n * names; if you need computed columns, switch to a structured\n * array-of-strings representation here.\n */\nconst SPAN_SELECT_COLUMNS_ALIASED = SPAN_SELECT_COLUMNS.replace(/\\n/g, ' ')\n .split(',')\n .map(c => `r.${c.trim()}`)\n .join(', ');\n\nexport async function listTraces(client: DbClient, schema: string, args: ListTracesArgs): Promise {\n const { mode, filters, pagination, orderBy, after, limit } = listTracesArgsSchema.parse(args);\n const span = qualifiedTable(schema, TABLE_SPAN_EVENTS);\n\n if (mode === 'delta') {\n assertDeltaPollingEnabled();\n return listTracesDelta(client, span, filters, after, limit);\n }\n\n return listTracesPage(client, span, filters, pagination.page, pagination.perPage, orderBy.field, orderBy.direction);\n}\n\nasync function listTracesPage(\n client: DbClient,\n span: string,\n filters: ListTracesArgs['filters'],\n page: number,\n perPage: number,\n orderField: 'startedAt' | 'endedAt',\n orderDir: 'ASC' | 'DESC',\n): Promise {\n const { conditions, params, nextParamIdx } = buildListTracesFilters(filters, span, 1);\n let i = nextParamIdx;\n const whereClause = `WHERE ${conditions.join(' AND ')}`;\n const orderClause =\n orderField === 'endedAt'\n ? `ORDER BY r.\"endedAt\" ${orderDir} NULLS ${orderDir === 'DESC' ? 'FIRST' : 'LAST'}, r.\"cursorId\" ${orderDir}`\n : `ORDER BY r.\"${orderField}\" ${orderDir}, r.\"cursorId\" ${orderDir}`;\n\n const countRow = await client.oneOrNone<{ count: string }>(\n `SELECT COUNT(*)::text AS count FROM ${span} r ${whereClause}`,\n params,\n );\n const count = Number(countRow?.count ?? 0);\n\n let spans: SpanRecord[] = [];\n if (count > 0) {\n const rows = await client.manyOrNone>(\n `SELECT ${SPAN_SELECT_COLUMNS_ALIASED}\n FROM ${span} r\n ${whereClause}\n ${orderClause}\n LIMIT $${i++} OFFSET $${i++}`,\n [...params, perPage, page * perPage],\n );\n spans = rows.map(rowToSpanRecord);\n }\n\n const deltaCursor = deltaPollingFeatureEnabled()\n ? await readTracesStreamHeadCursor(client, span, filters)\n : undefined;\n\n return {\n pagination: { total: count, page, perPage, hasMore: (page + 1) * perPage < count },\n spans: toTraceSpans(spans),\n ...(deltaCursor !== undefined ? { deltaCursor } : {}),\n };\n}\n\nasync function listTracesDelta(\n client: DbClient,\n span: string,\n filters: ListTracesArgs['filters'],\n after: string | undefined,\n limit: number,\n): Promise {\n if (after === undefined) {\n const deltaCursor = await readTracesStreamHeadCursor(client, span, filters);\n return { spans: [], delta: { limit, hasMore: false }, deltaCursor };\n }\n\n const afterCursor = decodeDeltaCursor(after);\n const safeHorizon = await readSafeXactHorizon(client);\n const { conditions, params, nextParamIdx } = buildListTracesFilters(filters, span, 1);\n let i = nextParamIdx;\n conditions.push(`(r.\"xactId\", r.\"cursorId\") > ($${i++}::xid8, $${i++}::bigint)`);\n params.push(afterCursor.xactId, afterCursor.cursorId);\n conditions.push(`r.\"xactId\" < $${i++}::xid8`);\n params.push(safeHorizon);\n\n const rows = await client.manyOrNone>(\n `SELECT ${SPAN_SELECT_COLUMNS_ALIASED}\n FROM ${span} r\n WHERE ${conditions.join(' AND ')}\n ORDER BY r.\"xactId\" ASC, r.\"cursorId\" ASC\n LIMIT $${i++}`,\n [...params, limit + 1],\n );\n\n const hasMore = rows.length > limit;\n const visible = rows.slice(0, limit);\n const deltaCursor =\n visible.length > 0\n ? encodeDeltaCursor(visible[visible.length - 1]!.xactId, visible[visible.length - 1]!.cursorId)\n : encodeDeltaCursor(safeHorizon, 0);\n\n return {\n spans: toTraceSpans(visible.map(rowToSpanRecord)),\n delta: { limit, hasMore },\n deltaCursor,\n };\n}\n\nasync function readTracesStreamHeadCursor(\n client: DbClient,\n span: string,\n filters: ListTracesArgs['filters'],\n): Promise {\n void span;\n void filters;\n return encodeDeltaCursor(await readSafeXactHorizon(client), 0);\n}\n\n// ---------------------------------------------------------------------------\n// listBranches\n// ---------------------------------------------------------------------------\n\nconst BRANCH_SPAN_TYPE_SET = new Set(BRANCH_SPAN_TYPES);\n\n/**\n * Build the spanType predicate for a branch query. If the caller supplied a\n * specific branch type, narrow to that one; otherwise match the full\n * BRANCH_SPAN_TYPES set. Pushes the bind params onto `params` and returns the\n * SQL fragment plus the next param index.\n */\nfunction buildBranchSpanTypeClause(\n userSpanType: string | undefined,\n params: unknown[],\n startIdx: number,\n): { clause: string; nextIdx: number } | null {\n if (userSpanType !== undefined) {\n if (!BRANCH_SPAN_TYPE_SET.has(userSpanType)) {\n // Caller asked for a non-branch spanType — intersection is empty.\n return null;\n }\n params.push(userSpanType);\n return { clause: `r.\"spanType\" = $${startIdx}`, nextIdx: startIdx + 1 };\n }\n const placeholders: string[] = [];\n for (const t of BRANCH_SPAN_TYPES) {\n placeholders.push(`$${startIdx + placeholders.length}`);\n params.push(t);\n }\n return { clause: `r.\"spanType\" IN (${placeholders.join(', ')})`, nextIdx: startIdx + placeholders.length };\n}\n\n/**\n * Apply branch filters (spanType + the shared context surface). Branches do\n * NOT have a `parentSpanId IS NULL` predicate — branches can be nested under\n * other spans. Returns the bound params and the next param index.\n */\nfunction buildListBranchesFilters(\n filters: ListBranchesArgs['filters'],\n spanType: string | undefined,\n spanTable: string,\n nextParamIdx: number,\n): { conditions: string[]; params: unknown[]; nextParamIdx: number } | null {\n const conditions: string[] = [latestSpanPredicate(spanTable)];\n const params: unknown[] = [];\n let i = nextParamIdx;\n\n const spanTypeClause = buildBranchSpanTypeClause(spanType, params, i);\n if (!spanTypeClause) return null;\n conditions.push(spanTypeClause.clause);\n i = spanTypeClause.nextIdx;\n\n if (!filters) return { conditions, params, nextParamIdx: i };\n\n if (filters.startedAt?.start) {\n conditions.push(`r.\"startedAt\" ${filters.startedAt.startExclusive ? '>' : '>='} $${i++}`);\n params.push(asIsoTimestamp(filters.startedAt.start));\n }\n if (filters.startedAt?.end) {\n conditions.push(`r.\"startedAt\" ${filters.startedAt.endExclusive ? '<' : '<='} $${i++}`);\n params.push(asIsoTimestamp(filters.startedAt.end));\n }\n // A pending row stores a placeholder `endedAt`, so an endedAt range filter\n // has to exclude it: a span that has not ended has no end time to match.\n if (filters.endedAt?.start) {\n conditions.push(`(NOT r.\"isPending\" AND r.\"endedAt\" ${filters.endedAt.startExclusive ? '>' : '>='} $${i++})`);\n params.push(asIsoTimestamp(filters.endedAt.start));\n }\n if (filters.endedAt?.end) {\n conditions.push(`(NOT r.\"isPending\" AND r.\"endedAt\" ${filters.endedAt.endExclusive ? '<' : '<='} $${i++})`);\n params.push(asIsoTimestamp(filters.endedAt.end));\n }\n if (filters.traceId !== undefined) {\n conditions.push(`r.\"traceId\" = $${i++}`);\n params.push(filters.traceId);\n }\n if (filters.entityType !== undefined) {\n conditions.push(`r.\"entityType\" = $${i++}`);\n params.push(filters.entityType);\n }\n if (filters.entityId !== undefined) {\n conditions.push(`r.\"entityId\" = $${i++}`);\n params.push(filters.entityId);\n }\n if (filters.entityName !== undefined) {\n conditions.push(`r.\"entityName\" = $${i++}`);\n params.push(filters.entityName);\n }\n if (filters.entityVersionId !== undefined) {\n conditions.push(`r.\"entityVersionId\" = $${i++}`);\n params.push(filters.entityVersionId);\n }\n if (filters.parentEntityType !== undefined) {\n conditions.push(`r.\"parentEntityType\" = $${i++}`);\n params.push(filters.parentEntityType);\n }\n if (filters.parentEntityId !== undefined) {\n conditions.push(`r.\"parentEntityId\" = $${i++}`);\n params.push(filters.parentEntityId);\n }\n if (filters.parentEntityName !== undefined) {\n conditions.push(`r.\"parentEntityName\" = $${i++}`);\n params.push(filters.parentEntityName);\n }\n if (filters.parentEntityVersionId !== undefined) {\n conditions.push(`r.\"parentEntityVersionId\" = $${i++}`);\n params.push(filters.parentEntityVersionId);\n }\n if (filters.rootEntityType !== undefined) {\n conditions.push(`r.\"rootEntityType\" = $${i++}`);\n params.push(filters.rootEntityType);\n }\n if (filters.rootEntityId !== undefined) {\n conditions.push(`r.\"rootEntityId\" = $${i++}`);\n params.push(filters.rootEntityId);\n }\n if (filters.rootEntityName !== undefined) {\n conditions.push(`r.\"rootEntityName\" = $${i++}`);\n params.push(filters.rootEntityName);\n }\n if (filters.rootEntityVersionId !== undefined) {\n conditions.push(`r.\"rootEntityVersionId\" = $${i++}`);\n params.push(filters.rootEntityVersionId);\n }\n if (filters.userId !== undefined) {\n conditions.push(`r.\"userId\" = $${i++}`);\n params.push(filters.userId);\n }\n if (filters.organizationId !== undefined) {\n conditions.push(`r.\"organizationId\" = $${i++}`);\n params.push(filters.organizationId);\n }\n if (filters.resourceId !== undefined) {\n conditions.push(`r.\"resourceId\" = $${i++}`);\n params.push(filters.resourceId);\n }\n if (filters.runId !== undefined) {\n conditions.push(`r.\"runId\" = $${i++}`);\n params.push(filters.runId);\n }\n if (filters.sessionId !== undefined) {\n conditions.push(`r.\"sessionId\" = $${i++}`);\n params.push(filters.sessionId);\n }\n if (filters.threadId !== undefined) {\n conditions.push(`r.\"threadId\" = $${i++}`);\n params.push(filters.threadId);\n }\n if (filters.requestId !== undefined) {\n conditions.push(`r.\"requestId\" = $${i++}`);\n params.push(filters.requestId);\n }\n if (filters.experimentId !== undefined) {\n conditions.push(`r.\"experimentId\" = $${i++}`);\n params.push(filters.experimentId);\n }\n if (filters.environment !== undefined) {\n conditions.push(`r.\"environment\" = $${i++}`);\n params.push(filters.environment);\n }\n if (filters.serviceName !== undefined) {\n conditions.push(`r.\"serviceName\" = $${i++}`);\n params.push(filters.serviceName);\n }\n if (filters.source !== undefined) {\n conditions.push(`r.\"executionSource\" = $${i++}`);\n params.push(filters.source);\n }\n if (filters.metadata != null) {\n conditions.push(`r.\"metadataSearch\" @> $${i++}::jsonb`);\n params.push(JSON.stringify(filters.metadata));\n }\n if (filters.tags != null && filters.tags.length > 0) {\n conditions.push(`r.\"tags\" @> $${i++}::text[]`);\n params.push(filters.tags);\n }\n if (filters.status !== undefined) {\n switch (filters.status) {\n case TraceStatus.ERROR:\n conditions.push(`r.\"error\" IS NOT NULL`);\n break;\n case TraceStatus.RUNNING:\n conditions.push(`r.\"isPending\"`);\n break;\n case TraceStatus.SUCCESS:\n conditions.push(`r.\"error\" IS NULL AND NOT r.\"isPending\"`);\n break;\n }\n }\n\n return { conditions, params, nextParamIdx: i };\n}\n\nexport async function listBranches(\n client: DbClient,\n schema: string,\n args: ListBranchesArgs,\n): Promise {\n const { mode, filters, pagination, orderBy, after, limit } = listBranchesArgsSchema.parse(args);\n const span = qualifiedTable(schema, TABLE_SPAN_EVENTS);\n\n if (mode === 'delta') {\n assertDeltaPollingEnabled();\n return listBranchesDelta(client, span, filters, after, limit);\n }\n\n return listBranchesPage(client, span, filters, pagination.page, pagination.perPage, orderBy.field, orderBy.direction);\n}\n\nasync function listBranchesPage(\n client: DbClient,\n span: string,\n filters: ListBranchesArgs['filters'],\n page: number,\n perPage: number,\n orderField: 'startedAt' | 'endedAt',\n orderDir: 'ASC' | 'DESC',\n): Promise {\n const built = buildListBranchesFilters(filters, filters?.spanType, span, 1);\n if (!built) {\n // Caller asked for a non-branch spanType — nothing matches by definition.\n const deltaCursor = deltaPollingFeatureEnabled()\n ? await readBranchesStreamHeadCursor(client, span, filters)\n : undefined;\n return {\n pagination: { total: 0, page, perPage, hasMore: false },\n branches: [],\n ...(deltaCursor !== undefined ? { deltaCursor } : {}),\n };\n }\n\n const { conditions, params, nextParamIdx } = built;\n let i = nextParamIdx;\n const whereClause = `WHERE ${conditions.join(' AND ')}`;\n const orderClause =\n orderField === 'endedAt'\n ? `ORDER BY r.\"endedAt\" ${orderDir} NULLS ${orderDir === 'DESC' ? 'FIRST' : 'LAST'}, r.\"cursorId\" ${orderDir}`\n : `ORDER BY r.\"${orderField}\" ${orderDir}, r.\"cursorId\" ${orderDir}`;\n\n const countRow = await client.oneOrNone<{ count: string }>(\n `SELECT COUNT(*)::text AS count FROM ${span} r ${whereClause}`,\n params,\n );\n const count = Number(countRow?.count ?? 0);\n\n let spans: SpanRecord[] = [];\n if (count > 0) {\n const rows = await client.manyOrNone>(\n `SELECT ${SPAN_SELECT_COLUMNS_ALIASED}\n FROM ${span} r\n ${whereClause}\n ${orderClause}\n LIMIT $${i++} OFFSET $${i++}`,\n [...params, perPage, page * perPage],\n );\n spans = rows.map(rowToSpanRecord);\n }\n\n const deltaCursor = deltaPollingFeatureEnabled()\n ? await readBranchesStreamHeadCursor(client, span, filters)\n : undefined;\n\n return {\n pagination: { total: count, page, perPage, hasMore: (page + 1) * perPage < count },\n branches: toTraceSpans(spans),\n ...(deltaCursor !== undefined ? { deltaCursor } : {}),\n };\n}\n\nasync function listBranchesDelta(\n client: DbClient,\n span: string,\n filters: ListBranchesArgs['filters'],\n after: string | undefined,\n limit: number,\n): Promise {\n if (after === undefined) {\n const deltaCursor = await readBranchesStreamHeadCursor(client, span, filters);\n return { branches: [], delta: { limit, hasMore: false }, deltaCursor };\n }\n\n const built = buildListBranchesFilters(filters, filters?.spanType, span, 1);\n if (!built) {\n return {\n branches: [],\n delta: { limit, hasMore: false },\n deltaCursor: await readBranchesStreamHeadCursor(client, span, filters),\n };\n }\n\n const { conditions, params, nextParamIdx } = built;\n let i = nextParamIdx;\n const afterCursor = decodeDeltaCursor(after);\n const safeHorizon = await readSafeXactHorizon(client);\n conditions.push(`(r.\"xactId\", r.\"cursorId\") > ($${i++}::xid8, $${i++}::bigint)`);\n params.push(afterCursor.xactId, afterCursor.cursorId);\n conditions.push(`r.\"xactId\" < $${i++}::xid8`);\n params.push(safeHorizon);\n\n const rows = await client.manyOrNone>(\n `SELECT ${SPAN_SELECT_COLUMNS_ALIASED}\n FROM ${span} r\n WHERE ${conditions.join(' AND ')}\n ORDER BY r.\"xactId\" ASC, r.\"cursorId\" ASC\n LIMIT $${i++}`,\n [...params, limit + 1],\n );\n\n const hasMore = rows.length > limit;\n const visible = rows.slice(0, limit);\n const deltaCursor =\n visible.length > 0\n ? encodeDeltaCursor(visible[visible.length - 1]!.xactId, visible[visible.length - 1]!.cursorId)\n : encodeDeltaCursor(safeHorizon, 0);\n\n return {\n branches: toTraceSpans(visible.map(rowToSpanRecord)),\n delta: { limit, hasMore },\n deltaCursor,\n };\n}\n\n/**\n * Branch bootstrap cursor. It points at the safe transaction horizon, not at\n * the current max cursorId, so a late-committing branch cannot be skipped.\n */\nasync function readBranchesStreamHeadCursor(\n client: DbClient,\n span: string,\n filters: ListBranchesArgs['filters'],\n): Promise {\n void span;\n void filters;\n return encodeDeltaCursor(await readSafeXactHorizon(client), 0);\n}\n","/**\n * Tracing operations for the v-next Postgres observability domain.\n *\n * Event-sourced: a span is written when it starts and again when it ends, so a\n * running span is visible before its result exists. The two rows differ in\n * `endedAt` (part of the primary key), so they coexist; reads collapse them\n * back to one span per `(traceId, spanId)`.\n */\n\nimport type {\n BatchCreateSpansArgs,\n BatchDeleteTracesArgs,\n CreateSpanArgs,\n GetSpansArgs,\n GetSpansResponse,\n GetSpanArgs,\n GetSpanResponse,\n GetTraceArgs,\n GetTraceResponse,\n GetTraceLightResponse,\n} from '@mastra/core/storage';\n\nimport type { DbClient } from '../../../client';\nimport {\n qualifiedTable,\n TABLE_FEEDBACK_EVENTS,\n TABLE_LOG_EVENTS,\n TABLE_METRIC_EVENTS,\n TABLE_SCORE_EVENTS,\n TABLE_SPAN_EVENTS,\n} from './ddl';\nimport { rowToLightSpanRecord, rowToSpanRecord, spanRecordToRow } from './helpers';\nimport {\n buildInsert,\n spanConflictClause,\n SPAN_COLLAPSE_ORDER,\n SPAN_LIGHT_SELECT_COLUMNS,\n SPAN_SELECT_COLUMNS,\n} from './sql';\n\n// ---------------------------------------------------------------------------\n// Writes\n// ---------------------------------------------------------------------------\n\nasync function writeSpanRows(client: DbClient, schema: string, rows: Record[]): Promise {\n const deduped = dedupeSpanRows(rows);\n const insert = buildInsert(schema, TABLE_SPAN_EVENTS, deduped, spanConflictClause(Object.keys(deduped[0] ?? {})));\n if (insert) await client.query(insert.text, insert.values);\n}\n\n/**\n * Collapse rows that share a primary key within a single batch. Postgres\n * rejects an `ON CONFLICT DO UPDATE` statement whose VALUES list would touch\n * the same row twice, which a batch containing both the start and the end of a\n * zero-duration span would do. The ended row wins, matching what the conflict\n * clause would have done across two separate statements.\n */\nfunction dedupeSpanRows(rows: Record[]): Record[] {\n if (rows.length < 2) return rows;\n const byKey = new Map>();\n for (const row of rows) {\n const key = `${row.traceId}\\u0000${row.spanId}\\u0000${String(row.endedAt)}`;\n const existing = byKey.get(key);\n if (existing && !existing.isPending) continue;\n byKey.set(key, row);\n }\n return [...byKey.values()];\n}\n\nexport async function createSpan(client: DbClient, schema: string, args: CreateSpanArgs): Promise {\n await writeSpanRows(client, schema, [spanRecordToRow(args.span)]);\n}\n\nexport async function batchCreateSpans(client: DbClient, schema: string, args: BatchCreateSpansArgs): Promise {\n if (args.records.length === 0) return;\n await writeSpanRows(client, schema, args.records.map(spanRecordToRow));\n}\n\n// ---------------------------------------------------------------------------\n// Reads\n// ---------------------------------------------------------------------------\n\nexport async function getSpans(client: DbClient, schema: string, args: GetSpansArgs): Promise {\n if (args.spanIds.length === 0) {\n return { traceId: args.traceId, spans: [] };\n }\n\n const table = qualifiedTable(schema, TABLE_SPAN_EVENTS);\n const rows = await client.manyOrNone>(\n `SELECT * FROM (\n SELECT DISTINCT ON (\"spanId\") ${SPAN_SELECT_COLUMNS}\n FROM ${table}\n WHERE \"traceId\" = $1\n AND \"spanId\" = ANY($2::text[])\n ORDER BY \"spanId\", ${SPAN_COLLAPSE_ORDER}\n ) collapsed\n ORDER BY \"startedAt\" ASC`,\n [args.traceId, args.spanIds],\n );\n\n return { traceId: args.traceId, spans: rows.map(rowToSpanRecord) };\n}\n\nexport async function getSpan(client: DbClient, schema: string, args: GetSpanArgs): Promise {\n const table = qualifiedTable(schema, TABLE_SPAN_EVENTS);\n const row = await client.oneOrNone>(\n `SELECT ${SPAN_SELECT_COLUMNS}\n FROM ${table}\n WHERE \"traceId\" = $1 AND \"spanId\" = $2\n ORDER BY ${SPAN_COLLAPSE_ORDER}\n LIMIT 1`,\n [args.traceId, args.spanId],\n );\n if (!row) return null;\n return { span: rowToSpanRecord(row) };\n}\n\nexport async function getTrace(client: DbClient, schema: string, args: GetTraceArgs): Promise {\n const table = qualifiedTable(schema, TABLE_SPAN_EVENTS);\n const rows = await client.manyOrNone>(\n `SELECT * FROM (\n SELECT DISTINCT ON (\"spanId\") ${SPAN_SELECT_COLUMNS}\n FROM ${table}\n WHERE \"traceId\" = $1\n ORDER BY \"spanId\", ${SPAN_COLLAPSE_ORDER}\n ) collapsed\n ORDER BY \"startedAt\" ASC`,\n [args.traceId],\n );\n if (!rows.length) return null;\n return { traceId: args.traceId, spans: rows.map(rowToSpanRecord) };\n}\n\nexport async function getTraceLight(\n client: DbClient,\n schema: string,\n args: GetTraceArgs,\n): Promise {\n const table = qualifiedTable(schema, TABLE_SPAN_EVENTS);\n const rows = await client.manyOrNone>(\n `SELECT * FROM (\n SELECT DISTINCT ON (\"spanId\") ${SPAN_LIGHT_SELECT_COLUMNS}\n FROM ${table}\n WHERE \"traceId\" = $1\n ORDER BY \"spanId\", ${SPAN_COLLAPSE_ORDER}\n ) collapsed\n ORDER BY \"startedAt\" ASC`,\n [args.traceId],\n );\n if (!rows.length) return null;\n return {\n traceId: args.traceId,\n spans: rows.map(rowToLightSpanRecord),\n };\n}\n\n// ---------------------------------------------------------------------------\n// Deletes\n// ---------------------------------------------------------------------------\n\n/**\n * Delete traces by traceId, cascading to trace-linked signal events\n * (metrics, logs, scores, feedback). Signal rows with a NULL traceId are\n * never affected. When the optional tenant scope (`organizationId` /\n * `resourceId`) is set, every DELETE additionally requires the row's tenant\n * columns to match.\n */\nexport async function batchDeleteTraces(client: DbClient, schema: string, args: BatchDeleteTracesArgs): Promise {\n if (args.traceIds.length === 0) return;\n\n const params: unknown[] = [...args.traceIds];\n const placeholders = args.traceIds.map((_, i) => `$${i + 1}`).join(', ');\n\n let scopeCondition = '';\n if (args.organizationId !== undefined) {\n params.push(args.organizationId);\n scopeCondition += ` AND \"organizationId\" = $${params.length}`;\n }\n if (args.resourceId !== undefined) {\n params.push(args.resourceId);\n scopeCondition += ` AND \"resourceId\" = $${params.length}`;\n }\n\n const tables = [TABLE_SPAN_EVENTS, TABLE_METRIC_EVENTS, TABLE_LOG_EVENTS, TABLE_SCORE_EVENTS, TABLE_FEEDBACK_EVENTS];\n await client.tx(async t => {\n for (const tableName of tables) {\n const table = qualifiedTable(schema, tableName);\n await t.query(`DELETE FROM ${table} WHERE \"traceId\" IN (${placeholders})${scopeCondition}`, params);\n }\n });\n}\n\n/** Truncate the span_events table. */\nexport async function dangerouslyClearTracing(client: DbClient, schema: string): Promise {\n const span = qualifiedTable(schema, TABLE_SPAN_EVENTS);\n // RESTART IDENTITY resets the owned `cursorId` bigserial sequence so tests\n // that clear and then exercise delta polling start from a known cursor.\n await client.none(`TRUNCATE TABLE ${span} RESTART IDENTITY`);\n}\n","/**\n * Postgres v-next observability storage domain.\n *\n * Insert-only model. Mirrors the ClickHouse v-next layout but adapted for\n * Postgres semantics:\n * - per-signal partitioned tables (or Timescale hypertables when the\n * extension is detected)\n * - retry idempotency via `ON CONFLICT DO NOTHING` on the partition-aware\n * primary key (the ClickHouse design uses ReplacingMergeTree dedupeKey)\n * - root-span reads served by partial indexes on the span events table\n * - discovery values cached in a Postgres table with stale-while-revalidate\n * semantics, so cache state survives serverless restarts and works\n * across multiple frontends pointing at the same DB\n *\n * IMPORTANT: this domain is intended for **low-volume production** workloads\n * only. Customers running more than ~100 calls/sec sustained should use the\n * ClickHouse adapter. See `observability/postgres-design/recommendation.md`\n * for the volume math behind this guidance.\n *\n * The adapter should NOT share a database with the customer's primary\n * application database — observability writes will degrade app performance.\n * Use it through `MastraCompositeStore` with a dedicated Postgres connection.\n */\n\nimport { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport * as coreStorage from '@mastra/core/storage';\nimport { createStorageErrorId, ObservabilityStorage } from '@mastra/core/storage';\nimport type {\n BatchCreateFeedbackArgs,\n BatchCreateLogsArgs,\n BatchCreateMetricsArgs,\n BatchCreateScoresArgs,\n BatchCreateSpansArgs,\n BatchDeleteTracesArgs,\n CreateFeedbackArgs,\n CreateScoreArgs,\n DeleteFeedbackArgs,\n DeleteScoresArgs,\n CreateSpanArgs,\n GetEntityNamesArgs,\n GetEntityNamesResponse,\n GetEntityTypesArgs,\n GetEntityTypesResponse,\n GetEnvironmentsArgs,\n GetEnvironmentsResponse,\n GetFeedbackAggregateArgs,\n GetFeedbackAggregateResponse,\n GetFeedbackBreakdownArgs,\n GetFeedbackBreakdownResponse,\n GetFeedbackPercentilesArgs,\n GetFeedbackPercentilesResponse,\n GetFeedbackTimeSeriesArgs,\n GetFeedbackTimeSeriesResponse,\n GetMetricAggregateArgs,\n GetMetricAggregateResponse,\n GetMetricBreakdownArgs,\n GetMetricBreakdownResponse,\n GetMetricLabelKeysArgs,\n GetMetricLabelKeysResponse,\n GetMetricLabelValuesArgs,\n GetMetricLabelValuesResponse,\n GetMetricNamesArgs,\n GetMetricNamesResponse,\n GetMetricPercentilesArgs,\n GetMetricPercentilesResponse,\n GetMetricTimeSeriesArgs,\n GetMetricTimeSeriesResponse,\n GetRootSpanArgs,\n GetRootSpanResponse,\n GetSpansArgs,\n GetSpansResponse,\n GetScoreAggregateArgs,\n GetScoreAggregateResponse,\n GetScoreBreakdownArgs,\n GetScoreBreakdownResponse,\n GetScorePercentilesArgs,\n GetScorePercentilesResponse,\n GetScoreTimeSeriesArgs,\n GetScoreTimeSeriesResponse,\n GetServiceNamesArgs,\n GetServiceNamesResponse,\n GetSpanArgs,\n GetSpanResponse,\n GetTagsArgs,\n GetTagsResponse,\n GetTraceArgs,\n GetTraceLightResponse,\n GetTraceResponse,\n ListBranchesArgs,\n ListBranchesResponse,\n ListFeedbackArgs,\n ListFeedbackResponse,\n FeedbackRecord,\n UpdateFeedbackReviewStatusArgs,\n ListLogsArgs,\n ListLogsResponse,\n ListMetricsArgs,\n ListMetricsResponse,\n ListScoresArgs,\n ListScoresResponse,\n ListTracesArgs,\n ListTracesResponse,\n ObservabilityStorageStrategy,\n PruneOptions,\n PruneResult,\n RetentionTablesDescriptor,\n QueryThreadsResult,\n ScoreRecord,\n TableRetentionPolicy,\n TraceQueryResponse,\n TrustedThreadQueryPlan,\n TrustedTraceQueryPlan,\n} from '@mastra/core/storage';\n\nimport type { DbClient } from '../../../client';\nimport { resolvePgConfig } from '../../../db';\nimport type { PgDomainConfig } from '../../../db';\nimport {\n ALL_SIGNAL_TABLES,\n additiveColumns,\n allIndexDDL,\n allTableDDL,\n columnExistsSQL,\n qualifiedTable,\n schemaDDL,\n TABLE_DISCOVERY,\n TABLE_FEEDBACK_EVENTS,\n TABLE_LOG_EVENTS,\n TABLE_METRIC_EVENTS,\n TABLE_SCORE_EVENTS,\n TABLE_SPAN_EVENTS,\n} from './ddl';\nimport * as discoveryOps from './discovery';\nimport type { DiscoveryConfig } from './discovery';\nimport * as feedbackOps from './feedback';\nimport * as logsOps from './logs';\nimport * as metricsOps from './metrics';\nimport { detectPartman, detectTimescale, resolveMode, setupPartitioning } from './partitioning';\nimport type { PartitioningOptions, PartitionMode } from './partitioning';\nimport { isDuplicateRelationError, isDuplicateSchemaError } from './pg-errors';\nimport { deltaPollingFeatureEnabled } from './polling';\nimport { prunePartitionedTable, pruneTimescaleTable, retentionCutoff } from './retention';\nimport * as scoresOps from './scores';\nimport * as traceQueryOps from './trace-query';\nimport * as tracesOps from './traces';\nimport * as tracingOps from './tracing';\n\nexport type { PartitionMode, PartitioningOptions } from './partitioning';\nexport type { DiscoveryConfig } from './discovery';\n\n/** Configuration for the v-next Postgres observability domain. */\nexport type VNextPostgresObservabilityConfig = PgDomainConfig & {\n /** Daily-partition / Timescale hypertable behavior. Default 'auto'. */\n partitioning?: PartitioningOptions;\n /** Discovery cache configuration. */\n discovery?: DiscoveryConfig;\n /** Maximum execution time for one advanced trace query. Default 15 seconds. */\n traceQueryTimeoutMs?: number;\n};\n\nfunction wrapError(op: string, error: unknown, details?: Record): never {\n if (error instanceof MastraError || error instanceof coreStorage.TraceQueryExecutionError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', op, 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: details as Record,\n },\n error,\n );\n}\n\nexport class ObservabilityStoragePostgresVNext extends ObservabilityStorage {\n readonly #client: DbClient;\n /** Reader-backed client for standalone reads; writes, DDL, and discovery-cache refresh stay on #client. */\n readonly #readClient: DbClient;\n readonly #schema: string;\n readonly #partitioning: PartitioningOptions;\n readonly #discoveryConfig: DiscoveryConfig;\n readonly #traceQueryTimeoutMs: number;\n #partitionMode?: PartitionMode;\n\n constructor(config: VNextPostgresObservabilityConfig) {\n super();\n const { client, readClient, schemaName } = resolvePgConfig(config);\n this.#client = client;\n this.#readClient = readClient;\n this.#schema = schemaName ?? 'public';\n this.#partitioning = config.partitioning ?? {};\n this.#discoveryConfig = config.discovery ?? {};\n this.#traceQueryTimeoutMs = coreStorage.resolveTraceQueryTimeoutMs(config.traceQueryTimeoutMs);\n }\n\n /**\n * Build the discovery config used at each call site, with the framework\n * logger injected so background refresh failures land in the same log\n * stream as the rest of the store. Reads `this.logger` lazily so\n * `__setLogger()` calls (e.g. when the domain is mounted under a Mastra\n * instance) propagate without rebuilding the domain.\n */\n get #discovery(): DiscoveryConfig {\n return { ...this.#discoveryConfig, logger: this.logger };\n }\n\n // -------------------------------------------------------------------------\n // Initialization\n // -------------------------------------------------------------------------\n\n /**\n * Create the signal tables, indexes, and (if Timescale / pg_partman is\n * present) hypertable / partman registrations.\n *\n * Not transactional: each `CREATE TABLE IF NOT EXISTS`, `CREATE INDEX IF\n * NOT EXISTS`, and `create_hypertable()` / `create_parent()` runs in its\n * own implicit transaction. Re-running `init()` after a failure is safe\n * (every statement is idempotent), but a failure partway through against\n * Timescale can leave some signal tables as hypertables and others as\n * plain tables. If that happens, fix the underlying error and call\n * `init()` again — the partially-converted state is recoverable.\n */\n async init(): Promise {\n try {\n const explicit = this.#partitioning.mode;\n let mode: PartitionMode;\n if (explicit && explicit !== 'auto') {\n mode = explicit;\n } else if (await detectTimescale(this.#client)) {\n mode = 'timescale';\n } else if (await detectPartman(this.#client)) {\n mode = 'partman';\n } else {\n mode = 'native';\n }\n\n const ddlMode = mode === 'timescale' ? 'timescale' : 'partitioned';\n\n try {\n await this.#client.none(schemaDDL(this.#schema));\n } catch (error) {\n // `CREATE SCHEMA IF NOT EXISTS` is not atomic; two concurrent\n // init() calls against a fresh schema can both pass the\n // existence probe and one will surface 42P06 or a 23505 on\n // pg_namespace_nspname_index. Treat it as success.\n if (!isDuplicateSchemaError(error)) throw error;\n }\n\n for (const ddl of allTableDDL(this.#schema, ddlMode)) {\n try {\n await this.#client.none(ddl);\n } catch (error) {\n if (!isDuplicateRelationError(error)) throw error;\n }\n }\n // Additive column migrations for tables created by an older version of\n // this schema. Runs before index creation so indexes can reference new\n // columns. The ALTER is skipped unless the column is actually missing —\n // it locks the partitioned parent, and init() runs on every boot.\n for (const { table, column, ddl } of additiveColumns(this.#schema)) {\n const present = await this.#client.oneOrNone(columnExistsSQL, [this.#schema, table, column]);\n if (!present) {\n await this.#client.none(ddl);\n }\n }\n for (const ddl of allIndexDDL(this.#schema)) {\n try {\n await this.#client.none(ddl);\n } catch (error) {\n if (!isDuplicateRelationError(error)) throw error;\n }\n }\n\n this.#partitionMode = await setupPartitioning(this.#client, this.#schema, {\n ...this.#partitioning,\n mode,\n });\n } catch (error) {\n wrapError('VNEXT_INIT', error);\n }\n }\n\n /** Resolved partition mode after init(). Useful for tests and diagnostics. */\n get partitionMode(): PartitionMode | undefined {\n return this.#partitionMode;\n }\n\n // -------------------------------------------------------------------------\n // Retention\n // -------------------------------------------------------------------------\n\n /**\n * All five signal tables are insert-only growth tables. The anchor column is\n * each table's partition / chunk key, so age-based expiry drops whole day\n * partitions instead of deleting rows (see `./retention.ts`). `indexed: true`\n * reflects that expiry never scans — it acts on partition bounds.\n */\n static override readonly retentionTables: RetentionTablesDescriptor = {\n spans: { table: TABLE_SPAN_EVENTS, column: 'endedAt', indexed: true },\n metrics: { table: TABLE_METRIC_EVENTS, column: 'timestamp', indexed: true },\n logs: { table: TABLE_LOG_EVENTS, column: 'timestamp', indexed: true },\n scores: { table: TABLE_SCORE_EVENTS, column: 'timestamp', indexed: true },\n feedback: { table: TABLE_FEEDBACK_EVENTS, column: 'timestamp', indexed: true },\n };\n\n /**\n * Expire signal events older than each table's `maxAge` by dropping whole\n * day partitions (native / pg_partman) or chunks (Timescale). Only\n * partitions wholly older than the cutoff are dropped, so the effective\n * granularity is one day. Each partition drop counts as one batch for\n * `maxBatches` / `maxRows` / abort-signal purposes; `deleted` reports the\n * row count of the dropped partitions.\n */\n override async prune(policies: Record, options?: PruneOptions): Promise {\n return this.#run('VNEXT_PRUNE', async () => {\n // Resolve lazily so prune() works on a domain that was constructed but\n // not init()-ed in this process (e.g. a dedicated cron worker).\n const mode = (this.#partitionMode ??= await resolveMode(this.#client, this.#partitioning));\n\n const results: PruneResult[] = [];\n const now = Date.now();\n\n for (const [key, entry] of Object.entries(ObservabilityStoragePostgresVNext.retentionTables)) {\n const policy = policies[key];\n if (!policy) continue;\n\n if (options?.signal?.aborted) {\n results.push({ domain: 'observability', table: entry.table, deleted: 0, done: false });\n continue;\n }\n\n const cutoff = retentionCutoff(policy, now);\n const args = { client: this.#client, schema: this.#schema, table: entry.table, cutoff, options };\n const outcome = mode === 'timescale' ? await pruneTimescaleTable(args) : await prunePartitionedTable(args);\n\n results.push({ domain: 'observability', table: entry.table, deleted: outcome.deleted, done: outcome.done });\n }\n\n return results;\n });\n }\n\n public override get observabilityStrategy(): {\n preferred: ObservabilityStorageStrategy;\n supported: ObservabilityStorageStrategy[];\n } {\n // Event-sourced rather than insert-only: the exporter also emits a row when\n // a span starts, which is what makes a run visible in Studio while it is\n // still executing. Reads collapse a span's rows back to one record.\n return { preferred: 'event-sourced', supported: ['event-sourced'] };\n }\n\n override getFeatures() {\n if (!deltaPollingFeatureEnabled()) return ['metrics', 'logs', 'trace-query', 'thread-query'] as const;\n return ['metrics', 'logs', 'delta-polling', 'trace-query', 'thread-query'] as const;\n }\n\n async #run(op: string, fn: () => Promise, details?: Record): Promise {\n try {\n return await fn();\n } catch (error) {\n wrapError(op, error, details);\n }\n }\n\n // -------------------------------------------------------------------------\n // Tracing — writes\n // -------------------------------------------------------------------------\n\n override async createSpan(args: CreateSpanArgs): Promise {\n await this.#run('CREATE_SPAN', () => tracingOps.createSpan(this.#client, this.#schema, args), {\n traceId: args.span.traceId,\n spanId: args.span.spanId,\n });\n }\n\n override async batchCreateSpans(args: BatchCreateSpansArgs): Promise {\n await this.#run('BATCH_CREATE_SPANS', () => tracingOps.batchCreateSpans(this.#client, this.#schema, args), {\n count: args.records.length,\n });\n }\n\n // -------------------------------------------------------------------------\n // Tracing — reads\n // -------------------------------------------------------------------------\n\n override async getSpan(args: GetSpanArgs): Promise {\n return this.#run('GET_SPAN', () => tracingOps.getSpan(this.#readClient, this.#schema, args), {\n traceId: args.traceId,\n spanId: args.spanId,\n });\n }\n\n override async getSpans(args: GetSpansArgs): Promise {\n return this.#run('GET_SPANS', () => tracingOps.getSpans(this.#readClient, this.#schema, args), {\n traceId: args.traceId,\n count: args.spanIds.length,\n });\n }\n\n override async getRootSpan(args: GetRootSpanArgs): Promise {\n return this.#run('GET_ROOT_SPAN', () => tracesOps.getRootSpan(this.#readClient, this.#schema, args), {\n traceId: args.traceId,\n });\n }\n\n override async getTrace(args: GetTraceArgs): Promise {\n return this.#run('GET_TRACE', () => tracingOps.getTrace(this.#readClient, this.#schema, args), {\n traceId: args.traceId,\n });\n }\n\n override async getTraceLight(args: GetTraceArgs): Promise {\n return this.#run('GET_TRACE_LIGHT', () => tracingOps.getTraceLight(this.#readClient, this.#schema, args), {\n traceId: args.traceId,\n });\n }\n\n override async listTraces(args: ListTracesArgs): Promise {\n return this.#run('LIST_TRACES', () => tracesOps.listTraces(this.#readClient, this.#schema, args));\n }\n\n override async queryTraces(plan: TrustedTraceQueryPlan): Promise {\n return this.#run('QUERY_TRACES', () =>\n traceQueryOps.queryTraces(this.#readClient, this.#schema, plan, this.#traceQueryTimeoutMs),\n );\n }\n\n override async queryThreads(plan: TrustedThreadQueryPlan): Promise {\n return this.#run('QUERY_THREADS', () =>\n traceQueryOps.queryThreads(this.#readClient, this.#schema, plan, this.#traceQueryTimeoutMs),\n );\n }\n\n override async listBranches(args: ListBranchesArgs): Promise {\n return this.#run('LIST_BRANCHES', () => tracesOps.listBranches(this.#readClient, this.#schema, args));\n }\n\n // -------------------------------------------------------------------------\n // Logs / metrics / scores / feedback — writes\n // -------------------------------------------------------------------------\n\n override async batchCreateLogs(args: BatchCreateLogsArgs): Promise {\n await this.#run('BATCH_CREATE_LOGS', () => logsOps.batchCreateLogs(this.#client, this.#schema, args), {\n count: args.logs.length,\n });\n }\n\n override async batchCreateMetrics(args: BatchCreateMetricsArgs): Promise {\n await this.#run('BATCH_CREATE_METRICS', () => metricsOps.batchCreateMetrics(this.#client, this.#schema, args), {\n count: args.metrics.length,\n });\n }\n\n override async createScore(args: CreateScoreArgs): Promise {\n await this.#run('CREATE_SCORE', () => scoresOps.createScore(this.#client, this.#schema, args));\n }\n\n override async batchCreateScores(args: BatchCreateScoresArgs): Promise {\n await this.#run('BATCH_CREATE_SCORES', () => scoresOps.batchCreateScores(this.#client, this.#schema, args), {\n count: args.scores.length,\n });\n }\n\n override async createFeedback(args: CreateFeedbackArgs): Promise {\n await this.#run('CREATE_FEEDBACK', () => feedbackOps.createFeedback(this.#client, this.#schema, args));\n }\n\n override async batchCreateFeedback(args: BatchCreateFeedbackArgs): Promise {\n await this.#run('BATCH_CREATE_FEEDBACK', () => feedbackOps.batchCreateFeedback(this.#client, this.#schema, args), {\n count: args.feedbacks.length,\n });\n }\n\n // -------------------------------------------------------------------------\n // Scores / feedback — deletes\n // -------------------------------------------------------------------------\n\n override async deleteScores(args: DeleteScoresArgs): Promise {\n await this.#run('DELETE_SCORES', () => scoresOps.deleteScores(this.#client, this.#schema, args), {\n count: args.scoreIds.length,\n });\n }\n\n override async deleteFeedback(args: DeleteFeedbackArgs): Promise {\n await this.#run('DELETE_FEEDBACK', () => feedbackOps.deleteFeedback(this.#client, this.#schema, args), {\n count: args.feedbackIds.length,\n });\n }\n\n // -------------------------------------------------------------------------\n // Logs / metrics / scores / feedback — list reads\n // -------------------------------------------------------------------------\n\n override async listLogs(args: ListLogsArgs): Promise {\n return this.#run('LIST_LOGS', () => logsOps.listLogs(this.#readClient, this.#schema, args));\n }\n\n override async listMetrics(args: ListMetricsArgs): Promise {\n return this.#run('LIST_METRICS', () => metricsOps.listMetrics(this.#readClient, this.#schema, args));\n }\n\n override async listScores(args: ListScoresArgs): Promise {\n return this.#run('LIST_SCORES', () => scoresOps.listScores(this.#readClient, this.#schema, args));\n }\n\n override async getScoreById(scoreId: string): Promise {\n return this.#run('GET_SCORE_BY_ID', () => scoresOps.getScoreById(this.#readClient, this.#schema, scoreId), {\n scoreId,\n });\n }\n\n override async listFeedback(args: ListFeedbackArgs): Promise {\n return this.#run('LIST_FEEDBACK', () => feedbackOps.listFeedback(this.#readClient, this.#schema, args));\n }\n\n override async updateFeedbackReviewStatus(args: UpdateFeedbackReviewStatusArgs): Promise {\n return this.#run(\n 'UPDATE_FEEDBACK_REVIEW_STATUS',\n () => feedbackOps.updateFeedbackReviewStatus(this.#client, this.#schema, args),\n { feedbackId: args.feedbackId },\n );\n }\n\n // -------------------------------------------------------------------------\n // OLAP — metrics\n // -------------------------------------------------------------------------\n\n override async getMetricAggregate(args: GetMetricAggregateArgs): Promise {\n return this.#run('GET_METRIC_AGGREGATE', () => metricsOps.getMetricAggregate(this.#readClient, this.#schema, args));\n }\n\n override async getMetricBreakdown(args: GetMetricBreakdownArgs): Promise {\n return this.#run('GET_METRIC_BREAKDOWN', () => metricsOps.getMetricBreakdown(this.#readClient, this.#schema, args));\n }\n\n override async getMetricTimeSeries(args: GetMetricTimeSeriesArgs): Promise {\n return this.#run('GET_METRIC_TIME_SERIES', () =>\n metricsOps.getMetricTimeSeries(this.#readClient, this.#schema, args),\n );\n }\n\n override async getMetricPercentiles(args: GetMetricPercentilesArgs): Promise {\n return this.#run('GET_METRIC_PERCENTILES', () =>\n metricsOps.getMetricPercentiles(this.#readClient, this.#schema, args),\n );\n }\n\n // -------------------------------------------------------------------------\n // OLAP — scores\n // -------------------------------------------------------------------------\n\n override async getScoreAggregate(args: GetScoreAggregateArgs): Promise {\n return this.#run('GET_SCORE_AGGREGATE', () => scoresOps.getScoreAggregate(this.#readClient, this.#schema, args));\n }\n\n override async getScoreBreakdown(args: GetScoreBreakdownArgs): Promise {\n return this.#run('GET_SCORE_BREAKDOWN', () => scoresOps.getScoreBreakdown(this.#readClient, this.#schema, args));\n }\n\n override async getScoreTimeSeries(args: GetScoreTimeSeriesArgs): Promise {\n return this.#run('GET_SCORE_TIME_SERIES', () => scoresOps.getScoreTimeSeries(this.#readClient, this.#schema, args));\n }\n\n override async getScorePercentiles(args: GetScorePercentilesArgs): Promise {\n return this.#run('GET_SCORE_PERCENTILES', () =>\n scoresOps.getScorePercentiles(this.#readClient, this.#schema, args),\n );\n }\n\n // -------------------------------------------------------------------------\n // OLAP — feedback\n // -------------------------------------------------------------------------\n\n override async getFeedbackAggregate(args: GetFeedbackAggregateArgs): Promise {\n return this.#run('GET_FEEDBACK_AGGREGATE', () =>\n feedbackOps.getFeedbackAggregate(this.#readClient, this.#schema, args),\n );\n }\n\n override async getFeedbackBreakdown(args: GetFeedbackBreakdownArgs): Promise {\n return this.#run('GET_FEEDBACK_BREAKDOWN', () =>\n feedbackOps.getFeedbackBreakdown(this.#readClient, this.#schema, args),\n );\n }\n\n override async getFeedbackTimeSeries(args: GetFeedbackTimeSeriesArgs): Promise {\n return this.#run('GET_FEEDBACK_TIME_SERIES', () =>\n feedbackOps.getFeedbackTimeSeries(this.#readClient, this.#schema, args),\n );\n }\n\n override async getFeedbackPercentiles(args: GetFeedbackPercentilesArgs): Promise {\n return this.#run('GET_FEEDBACK_PERCENTILES', () =>\n feedbackOps.getFeedbackPercentiles(this.#readClient, this.#schema, args),\n );\n }\n\n // -------------------------------------------------------------------------\n // Discovery\n // -------------------------------------------------------------------------\n\n override async getEntityTypes(args: GetEntityTypesArgs): Promise {\n return this.#run('GET_ENTITY_TYPES', () =>\n discoveryOps.getEntityTypes(this.#client, this.#schema, args, this.#discovery),\n );\n }\n\n override async getEntityNames(args: GetEntityNamesArgs): Promise {\n return this.#run('GET_ENTITY_NAMES', () =>\n discoveryOps.getEntityNames(this.#client, this.#schema, args, this.#discovery),\n );\n }\n\n override async getServiceNames(args: GetServiceNamesArgs): Promise {\n return this.#run('GET_SERVICE_NAMES', () =>\n discoveryOps.getServiceNames(this.#client, this.#schema, args, this.#discovery),\n );\n }\n\n override async getEnvironments(args: GetEnvironmentsArgs): Promise {\n return this.#run('GET_ENVIRONMENTS', () =>\n discoveryOps.getEnvironments(this.#client, this.#schema, args, this.#discovery),\n );\n }\n\n override async getTags(args: GetTagsArgs): Promise {\n return this.#run('GET_TAGS', () => discoveryOps.getTags(this.#client, this.#schema, args, this.#discovery));\n }\n\n override async getMetricNames(args: GetMetricNamesArgs): Promise {\n return this.#run('GET_METRIC_NAMES', () =>\n discoveryOps.getMetricNames(this.#client, this.#schema, args, this.#discovery),\n );\n }\n\n override async getMetricLabelKeys(args: GetMetricLabelKeysArgs): Promise {\n return this.#run('GET_METRIC_LABEL_KEYS', () =>\n discoveryOps.getMetricLabelKeys(this.#client, this.#schema, args, this.#discovery),\n );\n }\n\n override async getMetricLabelValues(args: GetMetricLabelValuesArgs): Promise {\n return this.#run('GET_METRIC_LABEL_VALUES', () =>\n discoveryOps.getMetricLabelValues(this.#client, this.#schema, args, this.#discovery),\n );\n }\n\n // -------------------------------------------------------------------------\n // Tracing — deletes / clear\n // -------------------------------------------------------------------------\n\n override async batchDeleteTraces(args: BatchDeleteTracesArgs): Promise {\n await this.#run('BATCH_DELETE_TRACES', () => tracingOps.batchDeleteTraces(this.#client, this.#schema, args), {\n count: args.traceIds.length,\n });\n }\n\n override async dangerouslyClearAll(): Promise {\n try {\n // Iterate ALL_SIGNAL_TABLES so a future signal added to the constant\n // is truncated automatically. Tracing has its own helper that runs the\n // span TRUNCATE; we skip it here to avoid running it twice.\n //\n // `RESTART IDENTITY` resets every owned sequence (notably `cursorId`\n // bigserials) so tests that clear between cases and then exercise\n // delta polling don't see surprising high-water-mark cursors. Without\n // it, sequences continue from where they left off across clears.\n await tracingOps.dangerouslyClearTracing(this.#client, this.#schema);\n for (const t of ALL_SIGNAL_TABLES) {\n if (t === TABLE_SPAN_EVENTS) continue;\n await this.#client.none(`TRUNCATE TABLE ${qualifiedTable(this.#schema, t)} RESTART IDENTITY`);\n }\n await this.#client.none(`TRUNCATE TABLE ${qualifiedTable(this.#schema, TABLE_DISCOVERY)} RESTART IDENTITY`);\n } catch (error) {\n wrapError('DANGEROUSLY_CLEAR_ALL', error);\n }\n }\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport {\n PromptBlocksStorage,\n createStorageErrorId,\n normalizePerPage,\n calculatePagination,\n TABLE_PROMPT_BLOCKS,\n TABLE_PROMPT_BLOCK_VERSIONS,\n TABLE_SCHEMAS,\n} from '@mastra/core/storage';\nimport type {\n StoragePromptBlockType,\n StorageCreatePromptBlockInput,\n StorageUpdatePromptBlockInput,\n StorageListPromptBlocksInput,\n StorageListPromptBlocksOutput,\n CreateIndexOptions,\n} from '@mastra/core/storage';\nimport type {\n PromptBlockVersion,\n CreatePromptBlockVersionInput,\n ListPromptBlockVersionsInput,\n ListPromptBlockVersionsOutput,\n} from '@mastra/core/storage/domains/prompt-blocks';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport { PgDB, resolvePgConfig, generateTableSQL, generateIndexSQL } from '../../db';\nimport type { DbClient, PgDomainConfig } from '../../db';\nimport { getTableName, getSchemaName, parseJsonResilient } from '../utils';\n\nconst SNAPSHOT_FIELDS = ['name', 'description', 'content', 'rules', 'requestContextSchema'] as const;\n\nexport class PromptBlocksPG extends PromptBlocksStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n static readonly MANAGED_TABLES = [TABLE_PROMPT_BLOCKS, TABLE_PROMPT_BLOCK_VERSIONS] as const;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n this.#indexes = indexes?.filter(idx => (PromptBlocksPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n /**\n * Returns default index definitions for the prompt blocks domain tables.\n * @param schemaPrefix - Prefix for index names (e.g. \"my_schema_\" or \"\")\n */\n static getDefaultIndexDefs(schemaPrefix: string): CreateIndexOptions[] {\n return [\n {\n name: `${schemaPrefix}idx_prompt_block_versions_block_version`,\n table: TABLE_PROMPT_BLOCK_VERSIONS,\n columns: ['blockId', 'versionNumber'],\n unique: true,\n },\n ];\n }\n\n /**\n * Returns all DDL statements for this domain: tables and indexes.\n * Used by exportSchemas to produce a complete, reproducible schema export.\n */\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n const parsedSchema = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n const schemaPrefix = parsedSchema && parsedSchema !== 'public' ? `${parsedSchema}_` : '';\n\n // Tables\n for (const tableName of PromptBlocksPG.MANAGED_TABLES) {\n statements.push(\n generateTableSQL({\n tableName,\n schema: TABLE_SCHEMAS[tableName],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n }\n\n // Indexes\n for (const idx of PromptBlocksPG.getDefaultIndexDefs(schemaPrefix)) {\n statements.push(generateIndexSQL(idx, schemaName));\n }\n\n return statements;\n }\n\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return PromptBlocksPG.getDefaultIndexDefs(schemaPrefix);\n }\n\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) {\n return;\n }\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch {\n // Indexes are performance optimizations, continue on failure\n }\n }\n }\n\n async init(): Promise {\n await this.#db.createTable({ tableName: TABLE_PROMPT_BLOCKS, schema: TABLE_SCHEMAS[TABLE_PROMPT_BLOCKS] });\n await this.#db.createTable({\n tableName: TABLE_PROMPT_BLOCK_VERSIONS,\n schema: TABLE_SCHEMAS[TABLE_PROMPT_BLOCK_VERSIONS],\n });\n await this.#db.alterTable({\n tableName: TABLE_PROMPT_BLOCK_VERSIONS,\n schema: TABLE_SCHEMAS[TABLE_PROMPT_BLOCK_VERSIONS],\n ifNotExists: ['requestContextSchema'],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) {\n return;\n }\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_PROMPT_BLOCK_VERSIONS });\n await this.#db.clearTable({ tableName: TABLE_PROMPT_BLOCKS });\n }\n\n // ==========================================================================\n // Prompt Block CRUD Methods\n // ==========================================================================\n\n async getById(id: string): Promise {\n return this.#getById(this.#db.readClient, id);\n }\n\n /**\n * Same lookup against an explicit client. Mutation paths pass the writer so a\n * lagging read replica cannot yield stale or missing rows mid-update.\n */\n async #getById(client: DbClient, id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_PROMPT_BLOCKS, schemaName: getSchemaName(this.#schema) });\n const result = await client.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [id]);\n\n if (!result) {\n return null;\n }\n\n return this.parseBlockRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_PROMPT_BLOCK_BY_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { blockId: id },\n },\n error,\n );\n }\n }\n\n async create(input: { promptBlock: StorageCreatePromptBlockInput }): Promise {\n const { promptBlock } = input;\n try {\n const tableName = getTableName({ indexName: TABLE_PROMPT_BLOCKS, schemaName: getSchemaName(this.#schema) });\n const now = new Date();\n const nowIso = now.toISOString();\n\n // 1. Create the thin block record\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, status, \"activeVersionId\", \"authorId\", metadata,\n \"createdAt\", \"createdAtZ\", \"updatedAt\", \"updatedAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9)`,\n [\n promptBlock.id,\n 'draft',\n null,\n promptBlock.authorId ?? null,\n promptBlock.metadata ? JSON.stringify(promptBlock.metadata) : null,\n nowIso,\n nowIso,\n nowIso,\n nowIso,\n ],\n );\n\n // 2. Extract snapshot fields and create version 1\n const { id: _id, authorId: _authorId, metadata: _metadata, ...snapshotConfig } = promptBlock;\n const versionId = crypto.randomUUID();\n await this.createVersion({\n id: versionId,\n blockId: promptBlock.id,\n versionNumber: 1,\n ...snapshotConfig,\n changedFields: [...SNAPSHOT_FIELDS],\n changeMessage: 'Initial version',\n });\n\n return {\n id: promptBlock.id,\n status: 'draft',\n activeVersionId: undefined,\n authorId: promptBlock.authorId,\n metadata: promptBlock.metadata,\n createdAt: now,\n updatedAt: now,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n // Best-effort cleanup\n try {\n const tableName = getTableName({ indexName: TABLE_PROMPT_BLOCKS, schemaName: getSchemaName(this.#schema) });\n await this.#db.client.none(\n `DELETE FROM ${tableName} WHERE id = $1 AND status = 'draft' AND \"activeVersionId\" IS NULL`,\n [promptBlock.id],\n );\n } catch {\n // Ignore cleanup errors\n }\n\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_PROMPT_BLOCK', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { blockId: promptBlock.id },\n },\n error,\n );\n }\n }\n\n async update(input: StorageUpdatePromptBlockInput): Promise {\n const { id, ...updates } = input;\n try {\n const tableName = getTableName({ indexName: TABLE_PROMPT_BLOCKS, schemaName: getSchemaName(this.#schema) });\n\n const existingBlock = await this.#getById(this.#db.client, id);\n if (!existingBlock) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_PROMPT_BLOCK', 'NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: `Prompt block ${id} not found`,\n details: { blockId: id },\n });\n }\n\n const { authorId, activeVersionId, metadata, status } = updates;\n\n // Update metadata fields on the block record\n const setClauses: string[] = [];\n const values: any[] = [];\n let paramIndex = 1;\n\n if (authorId !== undefined) {\n setClauses.push(`\"authorId\" = $${paramIndex++}`);\n values.push(authorId);\n }\n\n if (activeVersionId !== undefined) {\n setClauses.push(`\"activeVersionId\" = $${paramIndex++}`);\n values.push(activeVersionId);\n }\n\n if (status !== undefined) {\n setClauses.push(`status = $${paramIndex++}`);\n values.push(status);\n }\n\n if (metadata !== undefined) {\n const mergedMetadata = { ...(existingBlock.metadata || {}), ...metadata };\n setClauses.push(`metadata = $${paramIndex++}`);\n values.push(JSON.stringify(mergedMetadata));\n }\n\n // Always update timestamps\n const now = new Date().toISOString();\n setClauses.push(`\"updatedAt\" = $${paramIndex++}`);\n values.push(now);\n setClauses.push(`\"updatedAtZ\" = $${paramIndex++}`);\n values.push(now);\n\n values.push(id);\n\n // Always update the record (at minimum updatedAt/updatedAtZ are set)\n await this.#db.client.none(`UPDATE ${tableName} SET ${setClauses.join(', ')} WHERE id = $${paramIndex}`, values);\n\n const updatedBlock = await this.#getById(this.#db.client, id);\n if (!updatedBlock) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_PROMPT_BLOCK', 'NOT_FOUND_AFTER_UPDATE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.SYSTEM,\n text: `Prompt block ${id} not found after update`,\n details: { blockId: id },\n });\n }\n return updatedBlock;\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_PROMPT_BLOCK', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { blockId: id },\n },\n error,\n );\n }\n }\n\n async delete(id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_PROMPT_BLOCKS, schemaName: getSchemaName(this.#schema) });\n await this.deleteVersionsByParentId(id);\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE id = $1`, [id]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_PROMPT_BLOCK', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { blockId: id },\n },\n error,\n );\n }\n }\n\n async list(args?: StorageListPromptBlocksInput): Promise {\n const { page = 0, perPage: perPageInput, orderBy, authorId, metadata, status } = args || {};\n const { field, direction } = this.parseOrderBy(orderBy);\n\n if (page < 0) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_PROMPT_BLOCKS', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { page },\n },\n new Error('page must be >= 0'),\n );\n }\n\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n try {\n const tableName = getTableName({ indexName: TABLE_PROMPT_BLOCKS, schemaName: getSchemaName(this.#schema) });\n\n // Build WHERE conditions\n const conditions: string[] = [];\n const queryParams: any[] = [];\n let paramIdx = 1;\n\n if (status) {\n conditions.push(`status = $${paramIdx++}`);\n queryParams.push(status);\n }\n\n if (authorId !== undefined) {\n conditions.push(`\"authorId\" = $${paramIdx++}`);\n queryParams.push(authorId);\n }\n\n if (metadata && Object.keys(metadata).length > 0) {\n conditions.push(`metadata @> $${paramIdx++}::jsonb`);\n queryParams.push(JSON.stringify(metadata));\n }\n\n const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';\n\n // Get total count\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} ${whereClause}`,\n queryParams,\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return {\n promptBlocks: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const limitValue = perPageInput === false ? total : perPage;\n const dataResult = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} ${whereClause} ORDER BY \"${field}\" ${direction} LIMIT $${paramIdx++} OFFSET $${paramIdx++}`,\n [...queryParams, limitValue, offset],\n );\n\n const promptBlocks = (dataResult || []).flatMap(row => {\n try {\n return [this.parseBlockRow(row)];\n } catch (err) {\n this.logger?.warn?.('[PG] Failed to map prompt block row, skipping', { id: row?.id, error: err });\n return [];\n }\n });\n\n return {\n promptBlocks,\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_PROMPT_BLOCKS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n // ==========================================================================\n // Prompt Block Version Methods\n // ==========================================================================\n\n async createVersion(input: CreatePromptBlockVersionInput): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_PROMPT_BLOCK_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const now = new Date();\n const nowIso = now.toISOString();\n\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, \"blockId\", \"versionNumber\",\n name, description, content, rules, \"requestContextSchema\",\n \"changedFields\", \"changeMessage\",\n \"createdAt\", \"createdAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12)`,\n [\n input.id,\n input.blockId,\n input.versionNumber,\n input.name,\n input.description ?? null,\n input.content,\n input.rules ? JSON.stringify(input.rules) : null,\n input.requestContextSchema ? JSON.stringify(input.requestContextSchema) : null,\n input.changedFields ? JSON.stringify(input.changedFields) : null,\n input.changeMessage ?? null,\n nowIso,\n nowIso,\n ],\n );\n\n return {\n ...input,\n createdAt: now,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_PROMPT_BLOCK_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: input.id, blockId: input.blockId },\n },\n error,\n );\n }\n }\n\n async getVersion(id: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_PROMPT_BLOCK_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [id]);\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_PROMPT_BLOCK_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: id },\n },\n error,\n );\n }\n }\n\n async getVersionByNumber(blockId: string, versionNumber: number): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_PROMPT_BLOCK_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"blockId\" = $1 AND \"versionNumber\" = $2`,\n [blockId, versionNumber],\n );\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_PROMPT_BLOCK_VERSION_BY_NUMBER', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { blockId, versionNumber },\n },\n error,\n );\n }\n }\n\n async getLatestVersion(blockId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_PROMPT_BLOCK_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"blockId\" = $1 ORDER BY \"versionNumber\" DESC LIMIT 1`,\n [blockId],\n );\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_LATEST_PROMPT_BLOCK_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { blockId },\n },\n error,\n );\n }\n }\n\n async listVersions(input: ListPromptBlockVersionsInput): Promise {\n const { blockId, page = 0, perPage: perPageInput, orderBy } = input;\n\n if (page < 0) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_PROMPT_BLOCK_VERSIONS', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { page },\n },\n new Error('page must be >= 0'),\n );\n }\n\n const perPage = normalizePerPage(perPageInput, 20);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n try {\n const { field, direction } = this.parseVersionOrderBy(orderBy);\n const tableName = getTableName({\n indexName: TABLE_PROMPT_BLOCK_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} WHERE \"blockId\" = $1`,\n [blockId],\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return {\n versions: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const limitValue = perPageInput === false ? total : perPage;\n const dataResult = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE \"blockId\" = $1 ORDER BY \"${field}\" ${direction} LIMIT $2 OFFSET $3`,\n [blockId, limitValue, offset],\n );\n\n const versions = (dataResult || []).flatMap(row => {\n try {\n return [this.parseVersionRow(row)];\n } catch (err) {\n this.logger?.warn?.('[PG] Failed to map prompt block version row, skipping', { id: row?.id, error: err });\n return [];\n }\n });\n\n return {\n versions,\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_PROMPT_BLOCK_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { blockId },\n },\n error,\n );\n }\n }\n\n async deleteVersion(id: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_PROMPT_BLOCK_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE id = $1`, [id]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_PROMPT_BLOCK_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: id },\n },\n error,\n );\n }\n }\n\n async deleteVersionsByParentId(entityId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_PROMPT_BLOCK_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE \"blockId\" = $1`, [entityId]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_PROMPT_BLOCK_VERSIONS_BY_BLOCK_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { blockId: entityId },\n },\n error,\n );\n }\n }\n\n async countVersions(blockId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_PROMPT_BLOCK_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.one(`SELECT COUNT(*) as count FROM ${tableName} WHERE \"blockId\" = $1`, [\n blockId,\n ]);\n return parseInt(result.count, 10);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'COUNT_PROMPT_BLOCK_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { blockId },\n },\n error,\n );\n }\n }\n\n // ==========================================================================\n // Private Helper Methods\n // ==========================================================================\n\n private parseBlockRow(row: any): StoragePromptBlockType {\n return {\n id: row.id as string,\n status: row.status as StoragePromptBlockType['status'],\n activeVersionId: row.activeVersionId as string | undefined,\n authorId: row.authorId as string | undefined,\n metadata: parseJsonResilient(row.metadata, 'metadata'),\n createdAt: new Date(row.createdAtZ || row.createdAt),\n updatedAt: new Date(row.updatedAtZ || row.updatedAt),\n };\n }\n\n private parseVersionRow(row: any): PromptBlockVersion {\n return {\n id: row.id as string,\n blockId: row.blockId as string,\n versionNumber: row.versionNumber as number,\n name: row.name as string,\n description: row.description as string | undefined,\n content: row.content as string,\n rules: parseJsonResilient(row.rules, 'rules'),\n requestContextSchema: parseJsonResilient(row.requestContextSchema, 'requestContextSchema'),\n changedFields: parseJsonResilient(row.changedFields, 'changedFields'),\n changeMessage: row.changeMessage as string | undefined,\n createdAt: new Date(row.createdAtZ || row.createdAt),\n };\n }\n}\n","import type {\n Schedule,\n ScheduleFilter,\n ScheduleStatus,\n ScheduleTarget,\n ScheduleTrigger,\n ScheduleTriggerListOptions,\n ScheduleUpdate,\n CreateIndexOptions,\n TABLE_NAMES,\n PruneOptions,\n PruneResult,\n RetentionTablesDescriptor,\n TableRetentionPolicy,\n} from '@mastra/core/storage';\nimport {\n normalizeScheduleTarget,\n SchedulesStorage,\n TABLE_SCHEDULES,\n TABLE_SCHEDULE_TRIGGERS,\n TABLE_SCHEMAS,\n} from '@mastra/core/storage';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport type { DbClient } from '../../client';\nimport { PgDB, resolvePgConfig, generateTableSQL, generateIndexSQL } from '../../db';\nimport type { PgDomainConfig } from '../../db';\nimport { resolveTargets, runPrune } from '../../retention';\n\nfunction getSchemaName(schema?: string) {\n return schema ? `\"${schema}\"` : '\"public\"';\n}\n\nfunction getTableName(table: string, schema?: string) {\n const quoted = `\"${table}\"`;\n return schema ? `${schema}.${quoted}` : quoted;\n}\n\nfunction parseJson(val: unknown): T | undefined {\n if (val == null) return undefined;\n if (typeof val === 'string') {\n try {\n return JSON.parse(val) as T;\n } catch {\n return val as T;\n }\n }\n return val as T;\n}\n\nfunction toNumber(val: unknown): number {\n if (typeof val === 'bigint') return Number(val);\n return Number(val);\n}\n\nfunction rowToSchedule(row: Record): Schedule {\n const target = parseJson(row.target);\n if (!target) {\n throw new Error(`Schedule row ${row.id} has invalid target`);\n }\n const schedule: Schedule = {\n id: String(row.id),\n target: normalizeScheduleTarget(target),\n cron: String(row.cron),\n status: String(row.status) as ScheduleStatus,\n nextFireAt: toNumber(row.next_fire_at),\n createdAt: toNumber(row.created_at),\n updatedAt: toNumber(row.updated_at),\n };\n if (row.timezone != null) schedule.timezone = String(row.timezone);\n if (row.last_fire_at != null) schedule.lastFireAt = toNumber(row.last_fire_at);\n if (row.last_run_id != null) schedule.lastRunId = String(row.last_run_id);\n const metadata = parseJson>(row.metadata);\n if (metadata !== undefined) schedule.metadata = metadata;\n if (row.owner_type != null) schedule.ownerType = String(row.owner_type) as Schedule['ownerType'];\n if (row.owner_id != null) schedule.ownerId = String(row.owner_id);\n return schedule;\n}\n\nfunction rowToTrigger(row: Record): ScheduleTrigger {\n const trigger: ScheduleTrigger = {\n id: row.id != null ? String(row.id) : undefined,\n scheduleId: String(row.schedule_id),\n runId: row.run_id != null ? String(row.run_id) : null,\n scheduledFireAt: toNumber(row.scheduled_fire_at),\n actualFireAt: toNumber(row.actual_fire_at),\n outcome: String(row.outcome) as ScheduleTrigger['outcome'],\n triggerKind:\n row.trigger_kind != null ? (String(row.trigger_kind) as ScheduleTrigger['triggerKind']) : 'schedule-fire',\n };\n if (row.error != null) trigger.error = String(row.error);\n if (row.parent_trigger_id != null) trigger.parentTriggerId = String(row.parent_trigger_id);\n const metadata = parseJson>(row.metadata);\n if (metadata !== undefined) trigger.metadata = metadata;\n return trigger;\n}\n\nexport class SchedulesPG extends SchedulesStorage {\n #db: PgDB;\n #client: DbClient;\n #readClient: DbClient;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n /** Tables managed by this domain */\n static readonly MANAGED_TABLES = [TABLE_SCHEDULES, TABLE_SCHEDULE_TRIGGERS] as const;\n\n /**\n * The fire/run history (`schedule_triggers`, one row per fire) is the growth\n * table; schedule definitions are config and excluded. Anchored on\n * `actual_fire_at`, a bigint epoch-ms column (numeric comparison, not\n * timestamptz).\n */\n static override readonly retentionTables: RetentionTablesDescriptor = {\n triggers: { table: TABLE_SCHEDULE_TRIGGERS, column: 'actual_fire_at', indexed: true, anchorType: 'epoch-ms' },\n };\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#client = client;\n this.#readClient = readClient;\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n this.#indexes = indexes?.filter(idx => (SchedulesPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n async init(): Promise {\n await this.#db.createTable({\n tableName: TABLE_SCHEDULES,\n schema: TABLE_SCHEMAS[TABLE_SCHEDULES],\n });\n await this.#db.createTable({\n tableName: TABLE_SCHEDULE_TRIGGERS,\n schema: TABLE_SCHEMAS[TABLE_SCHEDULE_TRIGGERS],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n /**\n * Lazily ensures a btree index exists on each configured policy's retention\n * anchor column so age-based `prune()` deletes stay fast. The default\n * composite index leads with `schedule_id`, so a bare `actual_fire_at` range\n * scan can't use it. Called from the prune path (not init) so only\n * deployments that configure retention pay the index's write/disk overhead.\n * Created even with `skipDefaultIndexes` — retention is an explicit opt-in,\n * so its supporting index is not part of the default index set.\n */\n private async ensureRetentionIndexes(policies: Record): Promise {\n const prefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n for (const [key, entry] of Object.entries(SchedulesPG.retentionTables)) {\n if (!entry.indexed || !policies[key]) continue;\n try {\n await this.#db.ensureIndex({\n indexName: `${prefix}mastra_${key}_retention_idx`,\n tableName: entry.table as TABLE_NAMES,\n column: entry.column,\n });\n } catch (error) {\n this.logger?.warn?.(`Failed to create retention index for ${entry.table}:`, error);\n }\n }\n }\n\n /**\n * Delete trigger (fire history) rows whose `actual_fire_at` is older than the\n * `triggers` policy's `maxAge`, batched. Schedule definitions are never pruned.\n */\n async prune(policies: Record, options?: PruneOptions): Promise {\n await this.ensureRetentionIndexes(policies);\n const targets = resolveTargets({\n policies,\n descriptor: SchedulesPG.retentionTables,\n order: ['triggers'],\n });\n return runPrune({ db: this.#db, domain: 'schedules', targets, options });\n }\n\n /**\n * Returns default index definitions for the schedules domain.\n * @param schemaPrefix - Prefix for index names (e.g. \"my_schema_\" or \"\")\n */\n static getDefaultIndexDefs(schemaPrefix: string): CreateIndexOptions[] {\n return [\n {\n name: `${schemaPrefix}idx_mastra_schedules_status_next_fire`,\n table: TABLE_SCHEDULES,\n columns: ['status', 'next_fire_at'],\n },\n {\n name: `${schemaPrefix}idx_mastra_schedule_triggers_schedule_fire`,\n table: TABLE_SCHEDULE_TRIGGERS,\n columns: ['schedule_id', 'actual_fire_at DESC'],\n },\n ];\n }\n\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return SchedulesPG.getDefaultIndexDefs(schemaPrefix);\n }\n\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) {\n return;\n }\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create index ${indexDef.name}:`, error);\n }\n }\n }\n\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) {\n return;\n }\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n const parsedSchema = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n const schemaPrefix = parsedSchema && parsedSchema !== 'public' ? `${parsedSchema}_` : '';\n\n statements.push(\n generateTableSQL({\n tableName: TABLE_SCHEDULES,\n schema: TABLE_SCHEMAS[TABLE_SCHEDULES],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n statements.push(\n generateTableSQL({\n tableName: TABLE_SCHEDULE_TRIGGERS,\n schema: TABLE_SCHEMAS[TABLE_SCHEDULE_TRIGGERS],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n\n for (const idx of SchedulesPG.getDefaultIndexDefs(schemaPrefix)) {\n statements.push(generateIndexSQL(idx, schemaName));\n }\n\n return statements;\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_SCHEDULE_TRIGGERS });\n await this.#db.clearTable({ tableName: TABLE_SCHEDULES });\n }\n\n #table(tableName: typeof TABLE_SCHEDULES | typeof TABLE_SCHEDULE_TRIGGERS): string {\n const schema = parseSqlIdentifier(this.#schema, 'schema name');\n return getTableName(tableName, getSchemaName(schema));\n }\n\n async createSchedule(schedule: Schedule): Promise {\n const existing = await this.#getSchedule(this.#client, schedule.id);\n if (existing) {\n throw new Error(`Schedule with id \"${schedule.id}\" already exists`);\n }\n await this.#db.insert({\n tableName: TABLE_SCHEDULES,\n record: {\n id: schedule.id,\n target: schedule.target,\n cron: schedule.cron,\n timezone: schedule.timezone ?? null,\n status: schedule.status,\n next_fire_at: schedule.nextFireAt,\n last_fire_at: schedule.lastFireAt ?? null,\n last_run_id: schedule.lastRunId ?? null,\n created_at: schedule.createdAt,\n updated_at: schedule.updatedAt,\n metadata: schedule.metadata ?? null,\n owner_type: schedule.ownerType ?? null,\n owner_id: schedule.ownerId ?? null,\n },\n });\n return schedule;\n }\n\n async getSchedule(id: string): Promise {\n return this.#getSchedule(this.#readClient, id);\n }\n\n /**\n * Same lookup against an explicit client. Mutation paths pass the writer so a\n * lagging read replica cannot yield stale or missing rows mid-update.\n */\n async #getSchedule(client: DbClient, id: string): Promise {\n const row = await client.oneOrNone>(\n `SELECT * FROM ${this.#table(TABLE_SCHEDULES)} WHERE id = $1`,\n [id],\n );\n return row ? rowToSchedule(row) : null;\n }\n\n async listSchedules(filter?: ScheduleFilter): Promise {\n const conditions: string[] = [];\n const params: unknown[] = [];\n\n if (filter?.status) {\n params.push(filter.status);\n conditions.push(`status = $${params.length}`);\n }\n if (filter?.workflowId) {\n // target is jsonb; ->> extracts a text field.\n params.push(filter.workflowId);\n conditions.push(`target->>'workflowId' = $${params.length}`);\n }\n if (filter?.ownerType !== undefined) {\n if (filter.ownerType === null) {\n conditions.push('owner_type IS NULL');\n } else {\n params.push(filter.ownerType);\n conditions.push(`owner_type = $${params.length}`);\n }\n }\n if (filter?.ownerId !== undefined) {\n if (filter.ownerId === null) {\n conditions.push('owner_id IS NULL');\n } else {\n params.push(filter.ownerId);\n conditions.push(`owner_id = $${params.length}`);\n }\n }\n\n const where = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';\n const rows = await this.#readClient.manyOrNone>(\n `SELECT * FROM ${this.#table(TABLE_SCHEDULES)} ${where} ORDER BY created_at ASC`,\n params,\n );\n return rows.map(rowToSchedule);\n }\n\n async listDueSchedules(now: number, limit?: number): Promise {\n const cap = limit ?? 100;\n const rows = await this.#client.manyOrNone>(\n `SELECT * FROM ${this.#table(TABLE_SCHEDULES)}\n WHERE status = $1 AND next_fire_at <= $2\n ORDER BY next_fire_at ASC\n LIMIT $3`,\n ['active', now, cap],\n );\n return rows.map(rowToSchedule);\n }\n\n async updateSchedule(id: string, patch: ScheduleUpdate): Promise {\n const setClauses: string[] = [];\n const params: unknown[] = [];\n\n const push = (frag: string, value: unknown) => {\n params.push(value);\n setClauses.push(frag.replace('?', `$${params.length}`));\n };\n\n if ('cron' in patch && patch.cron !== undefined) push('cron = ?', patch.cron);\n if ('timezone' in patch) push('timezone = ?', patch.timezone ?? null);\n if ('status' in patch && patch.status !== undefined) push('status = ?', patch.status);\n if ('nextFireAt' in patch && patch.nextFireAt !== undefined) push('next_fire_at = ?', patch.nextFireAt);\n if ('target' in patch && patch.target !== undefined) {\n push('target = ?::jsonb', JSON.stringify(patch.target));\n }\n if ('metadata' in patch) {\n push('metadata = ?::jsonb', patch.metadata != null ? JSON.stringify(patch.metadata) : null);\n }\n if ('ownerType' in patch) push('owner_type = ?', (patch.ownerType as string | undefined) ?? null);\n if ('ownerId' in patch) push('owner_id = ?', (patch.ownerId as string | undefined) ?? null);\n\n push('updated_at = ?', Date.now());\n\n if (setClauses.length === 1) {\n // Only updated_at — nothing meaningful to patch\n const existing = await this.#getSchedule(this.#client, id);\n if (!existing) throw new Error(`Schedule ${id} not found`);\n return existing;\n }\n\n params.push(id);\n await this.#client.none(\n `UPDATE ${this.#table(TABLE_SCHEDULES)} SET ${setClauses.join(', ')} WHERE id = $${params.length}`,\n params,\n );\n\n const updated = await this.#getSchedule(this.#client, id);\n if (!updated) throw new Error(`Schedule ${id} not found`);\n return updated;\n }\n\n async updateScheduleNextFire(\n id: string,\n expectedNextFireAt: number,\n newNextFireAt: number,\n lastFireAt: number,\n lastRunId: string,\n ): Promise {\n const result = await this.#client.query(\n `UPDATE ${this.#table(TABLE_SCHEDULES)}\n SET next_fire_at = $1, last_fire_at = $2, last_run_id = $3, updated_at = $4\n WHERE id = $5 AND next_fire_at = $6 AND status = $7`,\n [newNextFireAt, lastFireAt, lastRunId, Date.now(), id, expectedNextFireAt, 'active'],\n );\n return (result.rowCount ?? 0) > 0;\n }\n\n async deleteSchedule(id: string): Promise {\n await this.#client.none(`DELETE FROM ${this.#table(TABLE_SCHEDULE_TRIGGERS)} WHERE schedule_id = $1`, [id]);\n await this.#client.none(`DELETE FROM ${this.#table(TABLE_SCHEDULES)} WHERE id = $1`, [id]);\n }\n\n async recordTrigger(trigger: ScheduleTrigger): Promise {\n const id = trigger.id ?? crypto.randomUUID();\n await this.#db.insert({\n tableName: TABLE_SCHEDULE_TRIGGERS,\n record: {\n id,\n schedule_id: trigger.scheduleId,\n run_id: trigger.runId,\n scheduled_fire_at: trigger.scheduledFireAt,\n actual_fire_at: trigger.actualFireAt,\n outcome: trigger.outcome,\n error: trigger.error ?? null,\n trigger_kind: trigger.triggerKind ?? 'schedule-fire',\n parent_trigger_id: trigger.parentTriggerId ?? null,\n metadata: trigger.metadata ?? null,\n },\n });\n }\n\n async listTriggers(scheduleId: string, opts?: ScheduleTriggerListOptions): Promise {\n const conditions: string[] = [];\n const params: unknown[] = [];\n\n params.push(scheduleId);\n conditions.push(`schedule_id = $${params.length}`);\n\n if (opts?.fromActualFireAt != null) {\n params.push(opts.fromActualFireAt);\n conditions.push(`actual_fire_at >= $${params.length}`);\n }\n if (opts?.toActualFireAt != null) {\n params.push(opts.toActualFireAt);\n conditions.push(`actual_fire_at < $${params.length}`);\n }\n\n let limitClause = '';\n if (opts?.limit != null) {\n params.push(Math.floor(opts.limit));\n limitClause = `LIMIT $${params.length}`;\n }\n\n const rows = await this.#readClient.manyOrNone>(\n `SELECT * FROM ${this.#table(TABLE_SCHEDULE_TRIGGERS)}\n WHERE ${conditions.join(' AND ')}\n ORDER BY actual_fire_at DESC\n ${limitClause}`,\n params,\n );\n return rows.map(rowToTrigger);\n }\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport {\n ScorerDefinitionsStorage,\n createStorageErrorId,\n normalizePerPage,\n calculatePagination,\n TABLE_SCORER_DEFINITIONS,\n TABLE_SCORER_DEFINITION_VERSIONS,\n TABLE_SCHEMAS,\n} from '@mastra/core/storage';\nimport type {\n StorageScorerDefinitionType,\n StorageCreateScorerDefinitionInput,\n StorageUpdateScorerDefinitionInput,\n StorageListScorerDefinitionsInput,\n StorageListScorerDefinitionsOutput,\n CreateIndexOptions,\n} from '@mastra/core/storage';\nimport type {\n ScorerDefinitionVersion,\n CreateScorerDefinitionVersionInput,\n ListScorerDefinitionVersionsInput,\n ListScorerDefinitionVersionsOutput,\n} from '@mastra/core/storage/domains/scorer-definitions';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport { PgDB, resolvePgConfig, generateTableSQL, generateIndexSQL } from '../../db';\nimport type { DbClient, PgDomainConfig } from '../../db';\nimport { getTableName, getSchemaName, parseJsonResilient } from '../utils';\n\nconst SNAPSHOT_FIELDS = [\n 'name',\n 'description',\n 'type',\n 'model',\n 'instructions',\n 'scoreRange',\n 'presetConfig',\n 'defaultSampling',\n] as const;\n\nexport class ScorerDefinitionsPG extends ScorerDefinitionsStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n static readonly MANAGED_TABLES = [TABLE_SCORER_DEFINITIONS, TABLE_SCORER_DEFINITION_VERSIONS] as const;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n this.#indexes = indexes?.filter(idx =>\n (ScorerDefinitionsPG.MANAGED_TABLES as readonly string[]).includes(idx.table),\n );\n }\n\n /**\n * Returns default index definitions for the scorer definitions domain tables.\n * @param schemaPrefix - Prefix for index names (e.g. \"my_schema_\" or \"\")\n */\n static getDefaultIndexDefs(schemaPrefix: string): CreateIndexOptions[] {\n return [\n {\n name: `${schemaPrefix}idx_scorer_definition_versions_def_version`,\n table: TABLE_SCORER_DEFINITION_VERSIONS,\n columns: ['scorerDefinitionId', 'versionNumber'],\n unique: true,\n },\n ];\n }\n\n /**\n * Returns all DDL statements for this domain: tables and indexes.\n * Used by exportSchemas to produce a complete, reproducible schema export.\n */\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n const parsedSchema = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n const schemaPrefix = parsedSchema && parsedSchema !== 'public' ? `${parsedSchema}_` : '';\n\n // Tables\n for (const tableName of ScorerDefinitionsPG.MANAGED_TABLES) {\n statements.push(\n generateTableSQL({\n tableName,\n schema: TABLE_SCHEMAS[tableName],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n }\n\n // Indexes\n for (const idx of ScorerDefinitionsPG.getDefaultIndexDefs(schemaPrefix)) {\n statements.push(generateIndexSQL(idx, schemaName));\n }\n\n return statements;\n }\n\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return ScorerDefinitionsPG.getDefaultIndexDefs(schemaPrefix);\n }\n\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) {\n return;\n }\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch {\n // Indexes are performance optimizations, continue on failure\n }\n }\n }\n\n async init(): Promise {\n await this.#db.createTable({\n tableName: TABLE_SCORER_DEFINITIONS,\n schema: TABLE_SCHEMAS[TABLE_SCORER_DEFINITIONS],\n });\n // Add tenancy columns for backwards compatibility (pre-tenancy installs)\n await this.#db.alterTable({\n tableName: TABLE_SCORER_DEFINITIONS,\n schema: TABLE_SCHEMAS[TABLE_SCORER_DEFINITIONS],\n ifNotExists: ['organizationId', 'projectId'],\n });\n await this.#db.createTable({\n tableName: TABLE_SCORER_DEFINITION_VERSIONS,\n schema: TABLE_SCHEMAS[TABLE_SCORER_DEFINITION_VERSIONS],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) {\n return;\n }\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_SCORER_DEFINITION_VERSIONS });\n await this.#db.clearTable({ tableName: TABLE_SCORER_DEFINITIONS });\n }\n\n // ==========================================================================\n // Scorer Definition CRUD Methods\n // ==========================================================================\n\n async getById(id: string): Promise {\n return this.#getById(this.#db.readClient, id);\n }\n\n /**\n * Same lookup against an explicit client. Mutation paths pass the writer so a\n * lagging read replica cannot yield stale or missing rows mid-update.\n */\n async #getById(client: DbClient, id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_SCORER_DEFINITIONS, schemaName: getSchemaName(this.#schema) });\n const result = await client.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [id]);\n\n if (!result) {\n return null;\n }\n\n return this.parseScorerRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_SCORER_DEFINITION_BY_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { scorerDefinitionId: id },\n },\n error,\n );\n }\n }\n\n async create(input: { scorerDefinition: StorageCreateScorerDefinitionInput }): Promise {\n const { scorerDefinition } = input;\n try {\n const tableName = getTableName({ indexName: TABLE_SCORER_DEFINITIONS, schemaName: getSchemaName(this.#schema) });\n const now = new Date();\n const nowIso = now.toISOString();\n\n // 1. Create the thin scorer definition record\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, status, \"activeVersionId\", \"authorId\", \"organizationId\", \"projectId\", metadata,\n \"createdAt\", \"createdAtZ\", \"updatedAt\", \"updatedAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11)`,\n [\n scorerDefinition.id,\n 'draft',\n null,\n scorerDefinition.authorId ?? null,\n scorerDefinition.organizationId ?? null,\n scorerDefinition.projectId ?? null,\n scorerDefinition.metadata ? JSON.stringify(scorerDefinition.metadata) : null,\n nowIso,\n nowIso,\n nowIso,\n nowIso,\n ],\n );\n\n // 2. Extract snapshot fields and create version 1\n const {\n id: _id,\n authorId: _authorId,\n organizationId: _organizationId,\n projectId: _projectId,\n metadata: _metadata,\n ...snapshotConfig\n } = scorerDefinition;\n const versionId = crypto.randomUUID();\n await this.createVersion({\n id: versionId,\n scorerDefinitionId: scorerDefinition.id,\n versionNumber: 1,\n ...snapshotConfig,\n changedFields: [...SNAPSHOT_FIELDS],\n changeMessage: 'Initial version',\n });\n\n return {\n id: scorerDefinition.id,\n status: 'draft',\n activeVersionId: undefined,\n authorId: scorerDefinition.authorId,\n organizationId: scorerDefinition.organizationId,\n projectId: scorerDefinition.projectId,\n metadata: scorerDefinition.metadata,\n createdAt: now,\n updatedAt: now,\n };\n } catch (error) {\n // Best-effort cleanup\n try {\n const tableName = getTableName({\n indexName: TABLE_SCORER_DEFINITIONS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(\n `DELETE FROM ${tableName} WHERE id = $1 AND status = 'draft' AND \"activeVersionId\" IS NULL`,\n [scorerDefinition.id],\n );\n } catch {\n // Ignore cleanup errors\n }\n\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_SCORER_DEFINITION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { scorerDefinitionId: scorerDefinition.id },\n },\n error,\n );\n }\n }\n\n async update(input: StorageUpdateScorerDefinitionInput): Promise {\n const { id, ...updates } = input;\n try {\n const tableName = getTableName({ indexName: TABLE_SCORER_DEFINITIONS, schemaName: getSchemaName(this.#schema) });\n\n const existingScorer = await this.#getById(this.#db.client, id);\n if (!existingScorer) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_SCORER_DEFINITION', 'NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: `Scorer definition ${id} not found`,\n details: { scorerDefinitionId: id },\n });\n }\n\n const { authorId, activeVersionId, metadata, status } = updates;\n\n // Update metadata fields on the scorer definition record\n const setClauses: string[] = [];\n const values: any[] = [];\n let paramIndex = 1;\n\n if (authorId !== undefined) {\n setClauses.push(`\"authorId\" = $${paramIndex++}`);\n values.push(authorId);\n }\n\n if (activeVersionId !== undefined) {\n setClauses.push(`\"activeVersionId\" = $${paramIndex++}`);\n values.push(activeVersionId);\n }\n\n if (status !== undefined) {\n setClauses.push(`status = $${paramIndex++}`);\n values.push(status);\n }\n\n if (metadata !== undefined) {\n const mergedMetadata = { ...(existingScorer.metadata || {}), ...metadata };\n setClauses.push(`metadata = $${paramIndex++}`);\n values.push(JSON.stringify(mergedMetadata));\n }\n\n // Always update timestamps\n const now = new Date().toISOString();\n setClauses.push(`\"updatedAt\" = $${paramIndex++}`);\n values.push(now);\n setClauses.push(`\"updatedAtZ\" = $${paramIndex++}`);\n values.push(now);\n\n values.push(id);\n\n // Always update the record (at minimum updatedAt/updatedAtZ are set)\n await this.#db.client.none(`UPDATE ${tableName} SET ${setClauses.join(', ')} WHERE id = $${paramIndex}`, values);\n\n const updatedScorer = await this.#getById(this.#db.client, id);\n if (!updatedScorer) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_SCORER_DEFINITION', 'NOT_FOUND_AFTER_UPDATE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.SYSTEM,\n text: `Scorer definition ${id} not found after update`,\n details: { scorerDefinitionId: id },\n });\n }\n return updatedScorer;\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_SCORER_DEFINITION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { scorerDefinitionId: id },\n },\n error,\n );\n }\n }\n\n async delete(id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_SCORER_DEFINITIONS, schemaName: getSchemaName(this.#schema) });\n await this.deleteVersionsByParentId(id);\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE id = $1`, [id]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_SCORER_DEFINITION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { scorerDefinitionId: id },\n },\n error,\n );\n }\n }\n\n async list(args?: StorageListScorerDefinitionsInput): Promise {\n const {\n page = 0,\n perPage: perPageInput,\n orderBy,\n authorId,\n organizationId,\n projectId,\n metadata,\n status,\n } = args || {};\n const { field, direction } = this.parseOrderBy(orderBy);\n\n if (page < 0) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_SCORER_DEFINITIONS', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { page },\n },\n new Error('page must be >= 0'),\n );\n }\n\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n try {\n const tableName = getTableName({ indexName: TABLE_SCORER_DEFINITIONS, schemaName: getSchemaName(this.#schema) });\n\n // Build WHERE conditions\n const conditions: string[] = [];\n const queryParams: any[] = [];\n let paramIdx = 1;\n\n if (status) {\n conditions.push(`status = $${paramIdx++}`);\n queryParams.push(status);\n }\n\n if (authorId !== undefined) {\n conditions.push(`\"authorId\" = $${paramIdx++}`);\n queryParams.push(authorId);\n }\n\n if (organizationId !== undefined) {\n conditions.push(`\"organizationId\" = $${paramIdx++}`);\n queryParams.push(organizationId);\n }\n\n if (projectId !== undefined) {\n conditions.push(`\"projectId\" = $${paramIdx++}`);\n queryParams.push(projectId);\n }\n\n if (metadata && Object.keys(metadata).length > 0) {\n conditions.push(`metadata @> $${paramIdx++}::jsonb`);\n queryParams.push(JSON.stringify(metadata));\n }\n\n const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';\n\n // Get total count\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} ${whereClause}`,\n queryParams,\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return {\n scorerDefinitions: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const limitValue = perPageInput === false ? total : perPage;\n const dataResult = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} ${whereClause} ORDER BY \"${field}\" ${direction} LIMIT $${paramIdx++} OFFSET $${paramIdx++}`,\n [...queryParams, limitValue, offset],\n );\n\n const scorerDefinitions = (dataResult || []).flatMap(row => {\n try {\n return [this.parseScorerRow(row)];\n } catch (err) {\n this.logger?.warn?.('[PG] Failed to map scorer definition row, skipping', { id: row?.id, error: err });\n return [];\n }\n });\n\n return {\n scorerDefinitions,\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_SCORER_DEFINITIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n // ==========================================================================\n // Scorer Definition Version Methods\n // ==========================================================================\n\n async createVersion(input: CreateScorerDefinitionVersionInput): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_SCORER_DEFINITION_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const now = new Date();\n const nowIso = now.toISOString();\n\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, \"scorerDefinitionId\", \"versionNumber\",\n name, description, type, model, instructions, \"scoreRange\", \"presetConfig\", \"defaultSampling\",\n \"changedFields\", \"changeMessage\",\n \"createdAt\", \"createdAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15)`,\n [\n input.id,\n input.scorerDefinitionId,\n input.versionNumber,\n input.name,\n input.description ?? null,\n input.type,\n input.model ? JSON.stringify(input.model) : null,\n input.instructions ?? null,\n input.scoreRange ? JSON.stringify(input.scoreRange) : null,\n input.presetConfig ? JSON.stringify(input.presetConfig) : null,\n input.defaultSampling ? JSON.stringify(input.defaultSampling) : null,\n input.changedFields ? JSON.stringify(input.changedFields) : null,\n input.changeMessage ?? null,\n nowIso,\n nowIso,\n ],\n );\n\n return {\n ...input,\n createdAt: now,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_SCORER_DEFINITION_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: input.id, scorerDefinitionId: input.scorerDefinitionId },\n },\n error,\n );\n }\n }\n\n async getVersion(id: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_SCORER_DEFINITION_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [id]);\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_SCORER_DEFINITION_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: id },\n },\n error,\n );\n }\n }\n\n async getVersionByNumber(scorerDefinitionId: string, versionNumber: number): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_SCORER_DEFINITION_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"scorerDefinitionId\" = $1 AND \"versionNumber\" = $2`,\n [scorerDefinitionId, versionNumber],\n );\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_SCORER_DEFINITION_VERSION_BY_NUMBER', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { scorerDefinitionId, versionNumber },\n },\n error,\n );\n }\n }\n\n async getLatestVersion(scorerDefinitionId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_SCORER_DEFINITION_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"scorerDefinitionId\" = $1 ORDER BY \"versionNumber\" DESC LIMIT 1`,\n [scorerDefinitionId],\n );\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_LATEST_SCORER_DEFINITION_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { scorerDefinitionId },\n },\n error,\n );\n }\n }\n\n async listVersions(input: ListScorerDefinitionVersionsInput): Promise {\n const { scorerDefinitionId, page = 0, perPage: perPageInput, orderBy } = input;\n\n if (page < 0) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_SCORER_DEFINITION_VERSIONS', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { page },\n },\n new Error('page must be >= 0'),\n );\n }\n\n const perPage = normalizePerPage(perPageInput, 20);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n try {\n const { field, direction } = this.parseVersionOrderBy(orderBy);\n const tableName = getTableName({\n indexName: TABLE_SCORER_DEFINITION_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} WHERE \"scorerDefinitionId\" = $1`,\n [scorerDefinitionId],\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return {\n versions: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const limitValue = perPageInput === false ? total : perPage;\n const dataResult = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE \"scorerDefinitionId\" = $1 ORDER BY \"${field}\" ${direction} LIMIT $2 OFFSET $3`,\n [scorerDefinitionId, limitValue, offset],\n );\n\n const versions = (dataResult || []).flatMap(row => {\n try {\n return [this.parseVersionRow(row)];\n } catch (err) {\n this.logger?.warn?.('[PG] Failed to map scorer definition version row, skipping', {\n id: row?.id,\n error: err,\n });\n return [];\n }\n });\n\n return {\n versions,\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_SCORER_DEFINITION_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { scorerDefinitionId },\n },\n error,\n );\n }\n }\n\n async deleteVersion(id: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_SCORER_DEFINITION_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE id = $1`, [id]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_SCORER_DEFINITION_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: id },\n },\n error,\n );\n }\n }\n\n async deleteVersionsByParentId(entityId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_SCORER_DEFINITION_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE \"scorerDefinitionId\" = $1`, [entityId]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_SCORER_DEFINITION_VERSIONS_BY_SCORER_DEFINITION_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { scorerDefinitionId: entityId },\n },\n error,\n );\n }\n }\n\n async countVersions(scorerDefinitionId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_SCORER_DEFINITION_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} WHERE \"scorerDefinitionId\" = $1`,\n [scorerDefinitionId],\n );\n return parseInt(result.count, 10);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'COUNT_SCORER_DEFINITION_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { scorerDefinitionId },\n },\n error,\n );\n }\n }\n\n // ==========================================================================\n // Private Helper Methods\n // ==========================================================================\n\n private parseScorerRow(row: any): StorageScorerDefinitionType {\n return {\n id: row.id as string,\n status: row.status as StorageScorerDefinitionType['status'],\n activeVersionId: row.activeVersionId as string | undefined,\n authorId: row.authorId as string | undefined,\n organizationId: row.organizationId as string | undefined,\n projectId: row.projectId as string | undefined,\n metadata: parseJsonResilient(row.metadata, 'metadata'),\n createdAt: new Date(row.createdAtZ || row.createdAt),\n updatedAt: new Date(row.updatedAtZ || row.updatedAt),\n };\n }\n\n private parseVersionRow(row: any): ScorerDefinitionVersion {\n return {\n id: row.id as string,\n scorerDefinitionId: row.scorerDefinitionId as string,\n versionNumber: row.versionNumber as number,\n name: row.name as string,\n description: row.description as string | undefined,\n type: row.type as ScorerDefinitionVersion['type'],\n model: parseJsonResilient(row.model, 'model'),\n instructions: row.instructions as string | undefined,\n scoreRange: parseJsonResilient(row.scoreRange, 'scoreRange'),\n presetConfig: parseJsonResilient(row.presetConfig, 'presetConfig'),\n defaultSampling: parseJsonResilient(row.defaultSampling, 'defaultSampling'),\n changedFields: parseJsonResilient(row.changedFields, 'changedFields'),\n changeMessage: row.changeMessage as string | undefined,\n createdAt: new Date(row.createdAtZ || row.createdAt),\n };\n }\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport type { ListScoresResponse, SaveScorePayload, ScoreRowData, ScoringSource } from '@mastra/core/evals';\nimport { saveScorePayloadSchema } from '@mastra/core/evals';\nimport type {\n CreateIndexOptions,\n PruneOptions,\n PruneResult,\n RetentionTablesDescriptor,\n ScoreTenancyFilters,\n StoragePagination,\n TABLE_NAMES,\n TableRetentionPolicy,\n} from '@mastra/core/storage';\nimport {\n calculatePagination,\n createStorageErrorId,\n normalizePerPage,\n ScoresStorage,\n TABLE_SCORERS,\n TABLE_SCHEMAS,\n transformScoreRow as coreTransformScoreRow,\n} from '@mastra/core/storage';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport { PgDB, resolvePgConfig, generateTableSQL, generateIndexSQL } from '../../db';\nimport type { PgDomainConfig } from '../../db';\nimport { runPrune, resolveTargets } from '../../retention';\n\n/**\n * Appends multi-tenant scope conditions to a query. Mutates `conditions`/`queryParams`.\n * Returns the next positional parameter index.\n */\nfunction applyTenancyFilters(\n conditions: string[],\n queryParams: any[],\n startIndex: number,\n filters?: ScoreTenancyFilters,\n): number {\n let paramIndex = startIndex;\n if (filters?.organizationId !== undefined) {\n conditions.push(`\"organizationId\" = $${paramIndex++}`);\n queryParams.push(filters.organizationId);\n }\n if (filters?.projectId !== undefined) {\n conditions.push(`\"projectId\" = $${paramIndex++}`);\n queryParams.push(filters.projectId);\n }\n return paramIndex;\n}\n\nfunction getSchemaName(schema?: string) {\n return schema ? `\"${schema}\"` : '\"public\"';\n}\n\nfunction getTableName({ indexName, schemaName }: { indexName: string; schemaName?: string }) {\n const quotedIndexName = `\"${indexName}\"`;\n return schemaName ? `${schemaName}.${quotedIndexName}` : quotedIndexName;\n}\n\n/**\n * PostgreSQL-specific score row transformation.\n * Uses Z-suffix timestamps (createdAtZ, updatedAtZ) when available.\n */\nfunction transformScoreRow(row: Record): ScoreRowData {\n return coreTransformScoreRow(row, {\n preferredTimestampFields: {\n createdAt: 'createdAtZ',\n updatedAt: 'updatedAtZ',\n },\n });\n}\n\nexport class ScoresPG extends ScoresStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n /** Tables managed by this domain */\n static readonly MANAGED_TABLES = [TABLE_SCORERS] as const;\n\n /**\n * Scorer results accumulate as evals run. Single table, anchored on the\n * timezone-aware `createdAtZ` mirror column (kept in sync by triggers).\n */\n static override readonly retentionTables: RetentionTablesDescriptor = {\n scorers: { table: TABLE_SCORERS, column: 'createdAtZ', indexed: true },\n };\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n // Filter indexes to only those for tables managed by this domain\n this.#indexes = indexes?.filter(idx => (ScoresPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n async init(): Promise {\n await this.#db.createTable({ tableName: TABLE_SCORERS, schema: TABLE_SCHEMAS[TABLE_SCORERS] });\n // Add columns for backwards compatibility (v0.x to v1 migration)\n await this.#db.alterTable({\n tableName: TABLE_SCORERS,\n schema: TABLE_SCHEMAS[TABLE_SCORERS],\n ifNotExists: ['spanId', 'requestContext', 'organizationId', 'projectId', 'batchId', 'datasetId', 'datasetItemId'],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n /**\n * Lazily ensures a btree index exists on each configured policy's retention\n * anchor column so age-based `prune()` deletes stay fast on large tables.\n * Called from the prune path (not init) so only deployments that configure\n * retention pay the index's write/disk overhead. Best-effort: failures are\n * logged and pruning proceeds (correct, just slower).\n * Created even with `skipDefaultIndexes` — retention is an explicit opt-in,\n * so its supporting index is not part of the default index set.\n */\n private async ensureRetentionIndexes(policies: Record): Promise {\n const prefix = this.#schema && this.#schema !== 'public' ? `${this.#schema}_` : '';\n for (const [key, entry] of Object.entries(ScoresPG.retentionTables)) {\n if (!entry.indexed || !policies[key]) continue;\n try {\n await this.#db.ensureIndex({\n indexName: `${prefix}mastra_${key}_retention_idx`,\n tableName: entry.table as TABLE_NAMES,\n column: entry.column,\n });\n } catch (error) {\n this.logger?.warn?.(`Failed to create retention index for ${entry.table}:`, error);\n }\n }\n }\n\n /**\n * Returns default index definitions for the scores domain tables.\n * @param schemaPrefix - Prefix for index names (e.g. \"my_schema_\" or \"\")\n */\n static getDefaultIndexDefs(schemaPrefix: string): CreateIndexOptions[] {\n return [\n {\n name: `${schemaPrefix}mastra_scores_trace_id_span_id_created_at_idx`,\n table: TABLE_SCORERS,\n columns: ['traceId', 'spanId', 'createdAt DESC'],\n },\n ];\n }\n\n /**\n * Returns all DDL statements for this domain: table and indexes.\n * Used by exportSchemas to produce a complete, reproducible schema export.\n */\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n const parsedSchema = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n const schemaPrefix = parsedSchema && parsedSchema !== 'public' ? `${parsedSchema}_` : '';\n\n // Table\n statements.push(\n generateTableSQL({\n tableName: TABLE_SCORERS,\n schema: TABLE_SCHEMAS[TABLE_SCORERS],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n\n // Indexes\n for (const idx of ScoresPG.getDefaultIndexDefs(schemaPrefix)) {\n statements.push(generateIndexSQL(idx, schemaName));\n }\n\n return statements;\n }\n\n /**\n * Returns default index definitions for this instance's schema.\n */\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return ScoresPG.getDefaultIndexDefs(schemaPrefix);\n }\n\n /**\n * Creates default indexes for optimal query performance.\n */\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) {\n return;\n }\n\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n // Log but continue - indexes are performance optimizations\n this.logger?.warn?.(`Failed to create index ${indexDef.name}:`, error);\n }\n }\n }\n\n /**\n * Creates custom user-defined indexes for this domain's tables.\n */\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) {\n return;\n }\n\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n // Log but continue - indexes are performance optimizations\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_SCORERS });\n }\n\n /** Delete scorer results older than the `scorers` policy's `maxAge`, batched. */\n async prune(policies: Record, options?: PruneOptions): Promise {\n await this.ensureRetentionIndexes(policies);\n const targets = resolveTargets({\n policies,\n descriptor: ScoresPG.retentionTables,\n order: ['scorers'],\n });\n return runPrune({ db: this.#db, domain: 'scores', targets, options });\n }\n\n async getScoreById({ id }: { id: string }): Promise {\n try {\n const result = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${getTableName({ indexName: TABLE_SCORERS, schemaName: getSchemaName(this.#schema) })} WHERE id = $1`,\n [id],\n );\n\n return result ? transformScoreRow(result) : null;\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_SCORE_BY_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async listScoresByScorerId({\n scorerId,\n pagination,\n entityId,\n entityType,\n source,\n filters,\n }: {\n scorerId: string;\n pagination: StoragePagination;\n entityId?: string;\n entityType?: string;\n source?: ScoringSource;\n filters?: ScoreTenancyFilters;\n }): Promise {\n try {\n const conditions: string[] = [`\"scorerId\" = $1`];\n const queryParams: any[] = [scorerId];\n let paramIndex = 2;\n\n if (entityId) {\n conditions.push(`\"entityId\" = $${paramIndex++}`);\n queryParams.push(entityId);\n }\n\n if (entityType) {\n conditions.push(`\"entityType\" = $${paramIndex++}`);\n queryParams.push(entityType);\n }\n\n if (source) {\n conditions.push(`\"source\" = $${paramIndex++}`);\n queryParams.push(source);\n }\n\n paramIndex = applyTenancyFilters(conditions, queryParams, paramIndex, filters);\n\n const whereClause = conditions.join(' AND ');\n\n const total = await this.#db.readClient.oneOrNone<{ count: string }>(\n `SELECT COUNT(*) FROM ${getTableName({ indexName: TABLE_SCORERS, schemaName: getSchemaName(this.#schema) })} WHERE ${whereClause}`,\n queryParams,\n );\n const { page, perPage: perPageInput } = pagination;\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset: start, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n if (total?.count === '0' || !total?.count) {\n return {\n pagination: {\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n },\n scores: [],\n };\n }\n const limitValue = perPageInput === false ? Number(total?.count) : perPage;\n const end = perPageInput === false ? Number(total?.count) : start + perPage;\n const result = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${getTableName({ indexName: TABLE_SCORERS, schemaName: getSchemaName(this.#schema) })} WHERE ${whereClause} ORDER BY \"createdAt\" DESC LIMIT $${paramIndex++} OFFSET $${paramIndex++}`,\n [...queryParams, limitValue, start],\n );\n\n return {\n pagination: {\n total: Number(total?.count) || 0,\n page,\n perPage: perPageForResponse,\n hasMore: end < Number(total?.count),\n },\n scores: result.map(transformScoreRow),\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_SCORES_BY_SCORER_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async saveScore(score: SaveScorePayload): Promise<{ score: ScoreRowData }> {\n let parsedScore: SaveScorePayload;\n try {\n parsedScore = saveScorePayloadSchema.parse(score);\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'SAVE_SCORE', 'VALIDATION_FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: {\n scorer: typeof score.scorer?.id === 'string' ? score.scorer.id : String(score.scorer?.id ?? 'unknown'),\n entityId: score.entityId ?? 'unknown',\n entityType: score.entityType ?? 'unknown',\n traceId: score.traceId ?? '',\n spanId: score.spanId ?? '',\n },\n },\n error,\n );\n }\n\n try {\n // Caller-supplied ids give scores a stable identity: retried writes for\n // the same id replace the previous row (latest wins) instead of\n // accumulating duplicates.\n const suppliedId = parsedScore.id;\n const id = suppliedId ?? crypto.randomUUID();\n const now = new Date();\n\n const {\n id: _suppliedId,\n scorer,\n preprocessStepResult,\n analyzeStepResult,\n metadata,\n input,\n output,\n additionalContext,\n requestContext,\n entity,\n ...rest\n } = parsedScore;\n\n if (suppliedId) {\n await this.#db.client.none(\n `DELETE FROM ${getTableName({ indexName: TABLE_SCORERS, schemaName: getSchemaName(this.#schema) })} WHERE id = $1`,\n [suppliedId],\n );\n }\n\n await this.#db.insert({\n tableName: TABLE_SCORERS,\n record: {\n id,\n ...rest,\n input: JSON.stringify(input) || '',\n output: JSON.stringify(output) || '',\n scorer: scorer ? JSON.stringify(scorer) : null,\n preprocessStepResult: preprocessStepResult ? JSON.stringify(preprocessStepResult) : null,\n analyzeStepResult: analyzeStepResult ? JSON.stringify(analyzeStepResult) : null,\n metadata: metadata ? JSON.stringify(metadata) : null,\n additionalContext: additionalContext ? JSON.stringify(additionalContext) : null,\n requestContext: requestContext ? JSON.stringify(requestContext) : null,\n entity: entity ? JSON.stringify(entity) : null,\n createdAt: now.toISOString(),\n updatedAt: now.toISOString(),\n },\n });\n\n return { score: { ...parsedScore, id, createdAt: now, updatedAt: now } as ScoreRowData };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'SAVE_SCORE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async listScoresByRunId({\n runId,\n pagination,\n filters,\n }: {\n runId: string;\n pagination: StoragePagination;\n filters?: ScoreTenancyFilters;\n }): Promise {\n try {\n const conditions: string[] = [`\"runId\" = $1`];\n const queryParams: any[] = [runId];\n let paramIndex = applyTenancyFilters(conditions, queryParams, 2, filters);\n const whereClause = conditions.join(' AND ');\n\n const total = await this.#db.readClient.oneOrNone<{ count: string }>(\n `SELECT COUNT(*) FROM ${getTableName({ indexName: TABLE_SCORERS, schemaName: getSchemaName(this.#schema) })} WHERE ${whereClause}`,\n queryParams,\n );\n const { page, perPage: perPageInput } = pagination;\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset: start, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n if (total?.count === '0' || !total?.count) {\n return {\n pagination: {\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n },\n scores: [],\n };\n }\n\n const limitValue = perPageInput === false ? Number(total?.count) : perPage;\n const end = perPageInput === false ? Number(total?.count) : start + perPage;\n\n const result = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${getTableName({ indexName: TABLE_SCORERS, schemaName: getSchemaName(this.#schema) })} WHERE ${whereClause} ORDER BY \"createdAt\" DESC LIMIT $${paramIndex++} OFFSET $${paramIndex++}`,\n [...queryParams, limitValue, start],\n );\n return {\n pagination: {\n total: Number(total?.count) || 0,\n page,\n perPage: perPageForResponse,\n hasMore: end < Number(total?.count),\n },\n scores: result.map(transformScoreRow),\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_SCORES_BY_RUN_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n async listScoresByEntityId({\n entityId,\n entityType,\n pagination,\n filters,\n }: {\n pagination: StoragePagination;\n entityId: string;\n entityType: string;\n filters?: ScoreTenancyFilters;\n }): Promise {\n try {\n const conditions: string[] = [`\"entityId\" = $1`, `\"entityType\" = $2`];\n const queryParams: any[] = [entityId, entityType];\n let paramIndex = applyTenancyFilters(conditions, queryParams, 3, filters);\n const whereClause = conditions.join(' AND ');\n\n const total = await this.#db.readClient.oneOrNone<{ count: string }>(\n `SELECT COUNT(*) FROM ${getTableName({ indexName: TABLE_SCORERS, schemaName: getSchemaName(this.#schema) })} WHERE ${whereClause}`,\n queryParams,\n );\n const { page, perPage: perPageInput } = pagination;\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset: start, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n if (total?.count === '0' || !total?.count) {\n return {\n pagination: {\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n },\n scores: [],\n };\n }\n\n const limitValue = perPageInput === false ? Number(total?.count) : perPage;\n const end = perPageInput === false ? Number(total?.count) : start + perPage;\n\n const result = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${getTableName({ indexName: TABLE_SCORERS, schemaName: getSchemaName(this.#schema) })} WHERE ${whereClause} ORDER BY \"createdAt\" DESC LIMIT $${paramIndex++} OFFSET $${paramIndex++}`,\n [...queryParams, limitValue, start],\n );\n return {\n pagination: {\n total: Number(total?.count) || 0,\n page,\n perPage: perPageForResponse,\n hasMore: end < Number(total?.count),\n },\n scores: result.map(transformScoreRow),\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_SCORES_BY_ENTITY_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async listScoresBySpan({\n traceId,\n spanId,\n pagination,\n filters,\n }: {\n traceId: string;\n spanId: string;\n pagination: StoragePagination;\n filters?: ScoreTenancyFilters;\n }): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_SCORERS, schemaName: getSchemaName(this.#schema) });\n const conditions: string[] = [`\"traceId\" = $1`, `\"spanId\" = $2`];\n const queryParams: any[] = [traceId, spanId];\n let paramIndex = applyTenancyFilters(conditions, queryParams, 3, filters);\n const whereClause = conditions.join(' AND ');\n\n const countSQLResult = await this.#db.readClient.oneOrNone<{ count: string }>(\n `SELECT COUNT(*) as count FROM ${tableName} WHERE ${whereClause}`,\n queryParams,\n );\n\n const total = Number(countSQLResult?.count ?? 0);\n const { page, perPage: perPageInput } = pagination;\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset: start, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n const limitValue = perPageInput === false ? total : perPage;\n const end = perPageInput === false ? total : start + perPage;\n const result = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE ${whereClause} ORDER BY \"createdAt\" DESC LIMIT $${paramIndex++} OFFSET $${paramIndex++}`,\n [...queryParams, limitValue, start],\n );\n\n const hasMore = end < total;\n const scores = result.map(row => transformScoreRow(row)) ?? [];\n\n return {\n scores,\n pagination: {\n total,\n page,\n perPage: perPageForResponse,\n hasMore,\n },\n };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_SCORES_BY_SPAN', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport {\n SkillsStorage,\n createStorageErrorId,\n normalizePerPage,\n calculatePagination,\n TABLE_SKILLS,\n TABLE_SKILL_VERSIONS,\n TABLE_SCHEMAS,\n TABLE_FAVORITES,\n} from '@mastra/core/storage';\nimport type {\n StorageSkillType,\n StorageCreateSkillInput,\n StorageUpdateSkillInput,\n StorageListSkillsInput,\n StorageListSkillsOutput,\n CreateIndexOptions,\n} from '@mastra/core/storage';\nimport type {\n SkillVersion,\n CreateSkillVersionInput,\n ListSkillVersionsInput,\n ListSkillVersionsOutput,\n} from '@mastra/core/storage/domains/skills';\nimport { skillSnapshotFieldValuesEqual } from '@mastra/core/storage/domains/skills';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport { PgDB, resolvePgConfig, generateTableSQL, generateIndexSQL } from '../../db';\nimport type { DbClient, PgDomainConfig } from '../../db';\nimport { getTableName, getSchemaName, parseJsonResilient } from '../utils';\n\nconst SNAPSHOT_FIELDS = [\n 'name',\n 'description',\n 'instructions',\n 'license',\n 'compatibility',\n 'source',\n 'references',\n 'scripts',\n 'assets',\n 'files',\n 'metadata',\n 'tree',\n] as const;\n\nexport class SkillsPG extends SkillsStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n static readonly MANAGED_TABLES = [TABLE_SKILLS, TABLE_SKILL_VERSIONS] as const;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n this.#indexes = indexes?.filter(idx => (SkillsPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n static getDefaultIndexDefs(schemaPrefix: string): CreateIndexOptions[] {\n return [\n {\n name: `${schemaPrefix}idx_skill_versions_skill_version`,\n table: TABLE_SKILL_VERSIONS,\n columns: ['skillId', 'versionNumber'],\n unique: true,\n },\n ];\n }\n\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n const parsedSchema = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n const schemaPrefix = parsedSchema && parsedSchema !== 'public' ? `${parsedSchema}_` : '';\n\n for (const tableName of SkillsPG.MANAGED_TABLES) {\n statements.push(\n generateTableSQL({\n tableName,\n schema: TABLE_SCHEMAS[tableName],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n }\n\n for (const idx of SkillsPG.getDefaultIndexDefs(schemaPrefix)) {\n statements.push(generateIndexSQL(idx, schemaName));\n }\n\n return statements;\n }\n\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return SkillsPG.getDefaultIndexDefs(schemaPrefix);\n }\n\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) {\n return;\n }\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch {\n // Indexes are performance optimizations, continue on failure\n }\n }\n }\n\n async init(): Promise {\n await this.#db.createTable({\n tableName: TABLE_SKILLS,\n schema: TABLE_SCHEMAS[TABLE_SKILLS],\n });\n await this.#db.createTable({\n tableName: TABLE_SKILL_VERSIONS,\n schema: TABLE_SCHEMAS[TABLE_SKILL_VERSIONS],\n });\n // Add new columns for backwards compatibility with intermediate schema versions\n await this.#db.alterTable({\n tableName: TABLE_SKILLS,\n schema: TABLE_SCHEMAS[TABLE_SKILLS],\n ifNotExists: ['visibility', 'favoriteCount'],\n });\n await this.#db.alterTable({\n tableName: TABLE_SKILL_VERSIONS,\n schema: TABLE_SCHEMAS[TABLE_SKILL_VERSIONS],\n ifNotExists: ['files'],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) {\n return;\n }\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_SKILL_VERSIONS });\n await this.#db.clearTable({ tableName: TABLE_SKILLS });\n }\n\n // ==========================================================================\n // Skill CRUD Methods\n // ==========================================================================\n\n async getById(id: string): Promise {\n return this.#getById(this.#db.readClient, id);\n }\n\n /**\n * Same lookup against an explicit client. Mutation paths pass the writer so a\n * lagging read replica cannot yield stale or missing rows mid-update.\n */\n async #getById(client: DbClient, id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_SKILLS, schemaName: getSchemaName(this.#schema) });\n const result = await client.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [id]);\n\n if (!result) {\n return null;\n }\n\n return this.parseSkillRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_SKILL_BY_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { skillId: id },\n },\n error,\n );\n }\n }\n\n async create(input: { skill: StorageCreateSkillInput }): Promise {\n const { skill } = input;\n try {\n const tableName = getTableName({ indexName: TABLE_SKILLS, schemaName: getSchemaName(this.#schema) });\n const now = new Date();\n const nowIso = now.toISOString();\n\n const visibility = skill.visibility ?? (skill.authorId ? 'private' : undefined);\n\n // 1. Create the thin skill record (no metadata on entity)\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, status, \"activeVersionId\", \"authorId\", visibility, \"favoriteCount\",\n \"createdAt\", \"createdAtZ\", \"updatedAt\", \"updatedAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10)`,\n [skill.id, 'draft', null, skill.authorId ?? null, visibility ?? null, 0, nowIso, nowIso, nowIso, nowIso],\n );\n\n // 2. Extract snapshot fields and create version 1\n const { id: _id, authorId: _authorId, visibility: _visibility, ...snapshotConfig } = skill;\n const versionId = crypto.randomUUID();\n await this.createVersion({\n id: versionId,\n skillId: skill.id,\n versionNumber: 1,\n ...snapshotConfig,\n changedFields: [...SNAPSHOT_FIELDS],\n changeMessage: 'Initial version',\n });\n\n return {\n id: skill.id,\n status: 'draft',\n activeVersionId: undefined,\n authorId: skill.authorId,\n visibility,\n favoriteCount: 0,\n createdAt: now,\n updatedAt: now,\n };\n } catch (error) {\n // Best-effort cleanup\n try {\n const tableName = getTableName({\n indexName: TABLE_SKILLS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(\n `DELETE FROM ${tableName} WHERE id = $1 AND status = 'draft' AND \"activeVersionId\" IS NULL`,\n [skill.id],\n );\n } catch {\n // Ignore cleanup errors\n }\n\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_SKILL', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { skillId: skill.id },\n },\n error,\n );\n }\n }\n\n async update(input: StorageUpdateSkillInput): Promise {\n const { id, ...updates } = input;\n try {\n const tableName = getTableName({ indexName: TABLE_SKILLS, schemaName: getSchemaName(this.#schema) });\n\n const existingSkill = await this.#getById(this.#db.client, id);\n if (!existingSkill) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_SKILL', 'NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: `Skill ${id} not found`,\n details: { skillId: id },\n });\n }\n\n const { authorId, visibility, activeVersionId, status, ...rawConfigFields } = updates;\n let versionCreated = false;\n\n // Filter out undefined keys: callers may spread partial snapshots into\n // update() and rely on \"omit = no change\" semantics. Forwarding\n // undefined would overwrite populated columns with undefined and trip\n // pg-promise's \"undefined cannot be passed as argument\" guard.\n const configFields: Record = {};\n for (const [key, value] of Object.entries(rawConfigFields)) {\n if (value !== undefined) configFields[key] = value;\n }\n\n // Check if any snapshot config fields are present\n const hasConfigUpdate = SNAPSHOT_FIELDS.some(field => field in configFields);\n\n if (hasConfigUpdate) {\n const latestVersion = await this.#getLatestVersion(this.#db.client, id);\n if (!latestVersion) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_SKILL', 'NO_VERSIONS'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.SYSTEM,\n text: `No versions found for skill ${id}`,\n details: { skillId: id },\n });\n }\n\n const {\n id: _versionId,\n skillId: _skillId,\n versionNumber: _versionNumber,\n changedFields: _changedFields,\n changeMessage: _changeMessage,\n createdAt: _createdAt,\n ...latestConfig\n } = latestVersion;\n\n const newConfig = { ...latestConfig, ...configFields };\n const changedFields = SNAPSHOT_FIELDS.filter(\n field =>\n field in configFields &&\n !skillSnapshotFieldValuesEqual(\n configFields[field as keyof typeof configFields],\n latestConfig[field as keyof typeof latestConfig],\n ),\n );\n\n if (changedFields.length > 0) {\n versionCreated = true;\n const newVersionId = crypto.randomUUID();\n await this.createVersion({\n id: newVersionId,\n skillId: id,\n versionNumber: latestVersion.versionNumber + 1,\n ...newConfig,\n changedFields: [...changedFields],\n changeMessage: `Updated ${changedFields.join(', ')}`,\n });\n }\n }\n\n // Update metadata fields on the skill record (no metadata column on entity)\n const setClauses: string[] = [];\n const values: any[] = [];\n let paramIndex = 1;\n\n if (authorId !== undefined) {\n setClauses.push(`\"authorId\" = $${paramIndex++}`);\n values.push(authorId);\n }\n\n if (visibility !== undefined) {\n setClauses.push(`visibility = $${paramIndex++}`);\n values.push(visibility);\n }\n\n if (activeVersionId !== undefined) {\n setClauses.push(`\"activeVersionId\" = $${paramIndex++}`);\n values.push(activeVersionId);\n // Auto-set status to 'published' when activeVersionId is set, consistent with InMemory and LibSQL\n if (status === undefined) {\n setClauses.push(`status = $${paramIndex++}`);\n values.push('published');\n }\n }\n\n if (status !== undefined) {\n setClauses.push(`status = $${paramIndex++}`);\n values.push(status);\n }\n\n // Always update timestamps\n const now = new Date().toISOString();\n setClauses.push(`\"updatedAt\" = $${paramIndex++}`);\n values.push(now);\n setClauses.push(`\"updatedAtZ\" = $${paramIndex++}`);\n values.push(now);\n\n values.push(id);\n\n if (setClauses.length > 2 || versionCreated) {\n // More than just updatedAt and updatedAtZ, or a new version was created\n await this.#db.client.none(\n `UPDATE ${tableName} SET ${setClauses.join(', ')} WHERE id = $${paramIndex}`,\n values,\n );\n }\n\n const updatedSkill = await this.#getById(this.#db.client, id);\n if (!updatedSkill) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_SKILL', 'NOT_FOUND_AFTER_UPDATE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.SYSTEM,\n text: `Skill ${id} not found after update`,\n details: { skillId: id },\n });\n }\n return updatedSkill;\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_SKILL', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { skillId: id },\n },\n error,\n );\n }\n }\n\n async delete(id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_SKILLS, schemaName: getSchemaName(this.#schema) });\n await this.deleteVersionsByParentId(id);\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE id = $1`, [id]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_SKILL', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { skillId: id },\n },\n error,\n );\n }\n }\n\n async list(args?: StorageListSkillsInput): Promise {\n const {\n page = 0,\n perPage: perPageInput,\n orderBy,\n authorId,\n visibility,\n status,\n entityIds,\n pinFavoritedFor,\n favoritedOnly,\n } = args || {};\n const { field, direction } = this.parseOrderBy(orderBy);\n\n if (page < 0) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_SKILLS', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { page },\n },\n new Error('page must be >= 0'),\n );\n }\n\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n try {\n // Empty entityIds is short-circuit: no rows possible.\n if (entityIds && entityIds.length === 0) {\n return {\n skills: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const tableName = getTableName({ indexName: TABLE_SKILLS, schemaName: getSchemaName(this.#schema) });\n const favoritesTable = getTableName({ indexName: TABLE_FAVORITES, schemaName: getSchemaName(this.#schema) });\n\n // Build WHERE conditions (referenced via alias `s` for skills, `sr` for favorites).\n const conditions: string[] = [];\n const queryParams: any[] = [];\n let paramIdx = 1;\n\n const joinUserId = pinFavoritedFor;\n const useJoin = Boolean(joinUserId);\n let joinSqlIdx: number | null = null;\n if (useJoin) {\n joinSqlIdx = paramIdx++;\n }\n\n if (status) {\n conditions.push(`s.status = $${paramIdx++}`);\n queryParams.push(status);\n }\n\n if (authorId !== undefined) {\n conditions.push(`s.\"authorId\" = $${paramIdx++}`);\n queryParams.push(authorId);\n }\n\n if (visibility !== undefined) {\n conditions.push(`s.visibility = $${paramIdx++}`);\n queryParams.push(visibility);\n }\n\n if (entityIds && entityIds.length > 0) {\n const placeholders = entityIds.map(() => `$${paramIdx++}`).join(', ');\n conditions.push(`s.id IN (${placeholders})`);\n queryParams.push(...entityIds);\n }\n\n if (useJoin && favoritedOnly) {\n conditions.push('sr.\"userId\" IS NOT NULL');\n } else if (favoritedOnly) {\n // Defensive: favoritedOnly with no userId can never match a real row.\n conditions.push('1=0');\n }\n\n const joinClause =\n useJoin && joinSqlIdx !== null\n ? `LEFT JOIN ${favoritesTable} sr ON sr.\"entityType\" = 'skill' AND sr.\"entityId\" = s.id AND sr.\"userId\" = $${joinSqlIdx}`\n : '';\n const joinParams: any[] = useJoin && joinUserId ? [joinUserId] : [];\n\n const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';\n\n // Get total count (mirrors join + where, no ORDER BY / LIMIT).\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} s ${joinClause} ${whereClause}`,\n [...joinParams, ...queryParams],\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return {\n skills: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n // Compose ORDER BY: favorited-first when JOIN active, then existing field, then id ASC tie-break.\n const orderByParts: string[] = [];\n if (useJoin) {\n orderByParts.push(`(sr.\"userId\" IS NOT NULL) DESC`);\n }\n orderByParts.push(`s.\"${field}\" ${direction}`);\n orderByParts.push(`s.\"id\" ASC`);\n const orderByClause = `ORDER BY ${orderByParts.join(', ')}`;\n\n const limitValue = perPageInput === false ? total : perPage;\n const limitIdx = paramIdx++;\n const offsetIdx = paramIdx++;\n const dataResult = await this.#db.readClient.manyOrNone(\n `SELECT s.* FROM ${tableName} s ${joinClause} ${whereClause} ${orderByClause} LIMIT $${limitIdx} OFFSET $${offsetIdx}`,\n [...joinParams, ...queryParams, limitValue, offset],\n );\n\n const skills = (dataResult || []).flatMap(row => {\n try {\n return [this.parseSkillRow(row)];\n } catch (err) {\n this.logger?.warn?.('[PG] Failed to map skill row, skipping', { id: row?.id, error: err });\n return [];\n }\n });\n\n return {\n skills,\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_SKILLS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n // ==========================================================================\n // Skill Version Methods\n // ==========================================================================\n\n async createVersion(input: CreateSkillVersionInput): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_SKILL_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const now = new Date();\n const nowIso = now.toISOString();\n\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, \"skillId\", \"versionNumber\",\n name, description, instructions, license, compatibility,\n source, \"references\", scripts, assets, files, metadata, tree,\n \"changedFields\", \"changeMessage\",\n \"createdAt\", \"createdAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16, $17, $18, $19)`,\n [\n input.id,\n input.skillId,\n input.versionNumber,\n input.name,\n input.description ?? null,\n input.instructions ?? null,\n input.license ?? null,\n input.compatibility ? JSON.stringify(input.compatibility) : null,\n input.source ? JSON.stringify(input.source) : null,\n input.references ? JSON.stringify(input.references) : null,\n input.scripts ? JSON.stringify(input.scripts) : null,\n input.assets ? JSON.stringify(input.assets) : null,\n input.files ? JSON.stringify(input.files) : null,\n input.metadata ? JSON.stringify(input.metadata) : null,\n input.tree ? JSON.stringify(input.tree) : null,\n input.changedFields ? JSON.stringify(input.changedFields) : null,\n input.changeMessage ?? null,\n nowIso,\n nowIso,\n ],\n );\n\n return {\n ...input,\n createdAt: now,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_SKILL_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: input.id, skillId: input.skillId },\n },\n error,\n );\n }\n }\n\n async getVersion(id: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_SKILL_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [id]);\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_SKILL_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: id },\n },\n error,\n );\n }\n }\n\n async getVersions(ids: string[]): Promise {\n if (ids.length === 0) {\n return [];\n }\n try {\n const tableName = getTableName({\n indexName: TABLE_SKILL_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const placeholders = ids.map((_, i) => `$${i + 1}`).join(', ');\n const rows = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE id IN (${placeholders})`,\n ids,\n );\n return rows.map(row => this.parseVersionRow(row));\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_SKILL_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { count: ids.length },\n },\n error,\n );\n }\n }\n\n async getVersionByNumber(skillId: string, versionNumber: number): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_SKILL_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"skillId\" = $1 AND \"versionNumber\" = $2`,\n [skillId, versionNumber],\n );\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_SKILL_VERSION_BY_NUMBER', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { skillId, versionNumber },\n },\n error,\n );\n }\n }\n\n async getLatestVersion(skillId: string): Promise {\n return this.#getLatestVersion(this.#db.readClient, skillId);\n }\n\n /**\n * Same lookup against an explicit client. Mutation paths pass the writer so a\n * lagging read replica cannot yield stale or missing rows mid-update.\n */\n async #getLatestVersion(client: DbClient, skillId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_SKILL_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await client.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"skillId\" = $1 ORDER BY \"versionNumber\" DESC LIMIT 1`,\n [skillId],\n );\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_LATEST_SKILL_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { skillId },\n },\n error,\n );\n }\n }\n\n async listVersions(input: ListSkillVersionsInput): Promise {\n const { skillId, page = 0, perPage: perPageInput, orderBy } = input;\n\n if (page < 0) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_SKILL_VERSIONS', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { page },\n },\n new Error('page must be >= 0'),\n );\n }\n\n const perPage = normalizePerPage(perPageInput, 20);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n try {\n const { field, direction } = this.parseVersionOrderBy(orderBy);\n const tableName = getTableName({\n indexName: TABLE_SKILL_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} WHERE \"skillId\" = $1`,\n [skillId],\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return {\n versions: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const limitValue = perPageInput === false ? total : perPage;\n const dataResult = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE \"skillId\" = $1 ORDER BY \"${field}\" ${direction} LIMIT $2 OFFSET $3`,\n [skillId, limitValue, offset],\n );\n\n const versions = (dataResult || []).flatMap(row => {\n try {\n return [this.parseVersionRow(row)];\n } catch (err) {\n this.logger?.warn?.('[PG] Failed to map skill version row, skipping', { id: row?.id, error: err });\n return [];\n }\n });\n\n return {\n versions,\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_SKILL_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { skillId },\n },\n error,\n );\n }\n }\n\n async deleteVersion(id: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_SKILL_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE id = $1`, [id]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_SKILL_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: id },\n },\n error,\n );\n }\n }\n\n async deleteVersionsByParentId(entityId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_SKILL_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE \"skillId\" = $1`, [entityId]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_SKILL_VERSIONS_BY_SKILL_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { skillId: entityId },\n },\n error,\n );\n }\n }\n\n async countVersions(skillId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_SKILL_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.one(`SELECT COUNT(*) as count FROM ${tableName} WHERE \"skillId\" = $1`, [\n skillId,\n ]);\n return parseInt(result.count, 10);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'COUNT_SKILL_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { skillId },\n },\n error,\n );\n }\n }\n\n // ==========================================================================\n // Private Helper Methods\n // ==========================================================================\n\n private parseSkillRow(row: any): StorageSkillType {\n return {\n id: row.id as string,\n status: row.status as StorageSkillType['status'],\n activeVersionId: row.activeVersionId as string | undefined,\n authorId: row.authorId as string | undefined,\n visibility: row.visibility as StorageSkillType['visibility'],\n favoriteCount: row.favoriteCount === null || row.favoriteCount === undefined ? 0 : Number(row.favoriteCount),\n createdAt: new Date(row.createdAtZ || row.createdAt),\n updatedAt: new Date(row.updatedAtZ || row.updatedAt),\n };\n }\n\n private parseVersionRow(row: any): SkillVersion {\n return {\n id: row.id as string,\n skillId: row.skillId as string,\n versionNumber: row.versionNumber as number,\n name: row.name as string,\n description: row.description as string,\n instructions: row.instructions as string,\n license: row.license as string | undefined,\n compatibility: parseJsonResilient(row.compatibility, 'compatibility'),\n source: parseJsonResilient(row.source, 'source'),\n references: parseJsonResilient(row.references, 'references'),\n scripts: parseJsonResilient(row.scripts, 'scripts'),\n assets: parseJsonResilient(row.assets, 'assets'),\n files: parseJsonResilient(row.files, 'files'),\n metadata: parseJsonResilient(row.metadata, 'metadata'),\n tree: parseJsonResilient(row.tree, 'tree'),\n changedFields: parseJsonResilient(row.changedFields, 'changedFields'),\n changeMessage: row.changeMessage as string | undefined,\n createdAt: new Date(row.createdAtZ || row.createdAt),\n };\n }\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport { ThreadStateStorage, createStorageErrorId, TABLE_THREAD_STATE, TABLE_SCHEMAS } from '@mastra/core/storage';\nimport type {\n PruneOptions,\n PruneResult,\n RetentionTablesDescriptor,\n TableRetentionPolicy,\n TABLE_NAMES,\n} from '@mastra/core/storage';\n\nimport { PgDB, resolvePgConfig, generateTableSQL } from '../../db';\nimport type { PgDomainConfig } from '../../db';\nimport { runPrune, resolveTargets } from '../../retention';\nimport { getSchemaName, getTableName } from '../utils';\n\nconst COMPOSITE_PRIMARY_KEY = ['threadId', 'type'];\n\n/**\n * PostgreSQL implementation of {@link ThreadStateStorage}.\n *\n * Stores per-thread, per-type state in `mastra_thread_state`, keyed by the\n * composite primary key `(threadId, type)`. The `value` column is `jsonb`, so\n * payloads (the task list for `type = 'task'`, the goal objective for\n * `type = 'goal'`) come back already parsed.\n */\nexport class ThreadStatePG extends ThreadStateStorage {\n #db: PgDB;\n #schema: string;\n\n static readonly MANAGED_TABLES = [TABLE_THREAD_STATE] as const;\n\n /**\n * `thread_state` grows as a side effect of thread activity (one row per\n * thread per state type). It anchors on `updatedAtZ` (last activity), so\n * state for a thread that is still being written to is not pruned by\n * creation age.\n */\n static override readonly retentionTables: RetentionTablesDescriptor = {\n threadState: { table: TABLE_THREAD_STATE, column: 'updatedAtZ', indexed: true },\n };\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n }\n\n static getExportDDL(schemaName?: string): string[] {\n return [\n generateTableSQL({\n tableName: TABLE_THREAD_STATE,\n schema: TABLE_SCHEMAS[TABLE_THREAD_STATE],\n schemaName,\n compositePrimaryKey: COMPOSITE_PRIMARY_KEY,\n includeAllConstraints: true,\n }),\n ];\n }\n\n async init(): Promise {\n await this.#db.createTable({\n tableName: TABLE_THREAD_STATE,\n schema: TABLE_SCHEMAS[TABLE_THREAD_STATE],\n compositePrimaryKey: COMPOSITE_PRIMARY_KEY,\n });\n }\n\n get #table(): string {\n return getTableName({ indexName: TABLE_THREAD_STATE, schemaName: getSchemaName(this.#schema) });\n }\n\n /**\n * Create the retention index on demand, mirroring the other PG domains: only\n * deployments that configure retention pay for the extra index. Best-effort —\n * a failure here leaves pruning correct, just slower.\n */\n async #ensureRetentionIndexes(policies: Record): Promise {\n const prefix = this.#schema && this.#schema !== 'public' ? `${this.#schema}_` : '';\n for (const [key, entry] of Object.entries(ThreadStatePG.retentionTables)) {\n if (!entry.indexed || !policies[key]) continue;\n try {\n await this.#db.ensureIndex({\n indexName: `${prefix}mastra_${key}_retention_idx`,\n tableName: entry.table as TABLE_NAMES,\n column: entry.column,\n });\n } catch (error) {\n this.logger?.warn?.(`Failed to create retention index for ${entry.table}:`, error);\n }\n }\n }\n\n /** Delete thread state older than the `threadState` policy's `maxAge`, batched. */\n async prune(policies: Record, options?: PruneOptions): Promise {\n await this.#ensureRetentionIndexes(policies);\n const targets = resolveTargets({\n policies,\n descriptor: ThreadStatePG.retentionTables,\n order: ['threadState'],\n });\n return runPrune({ db: this.#db, domain: 'threadState', targets, options });\n }\n\n async dangerouslyClearAll(): Promise {\n try {\n await this.#db.client.none(`DELETE FROM ${this.#table}`);\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'THREAD_STATE_CLEAR_ALL', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async getState({ threadId, type }: { threadId: string; type: string }): Promise {\n try {\n const row = await this.#db.client.oneOrNone<{ value: unknown }>(\n `SELECT \"value\" FROM ${this.#table} WHERE \"threadId\" = $1 AND \"type\" = $2 LIMIT 1`,\n [threadId, type],\n );\n if (!row || row.value === null || row.value === undefined) return undefined;\n // jsonb comes back parsed; a string column (or a driver that hands back\n // raw text) still needs a parse.\n return (typeof row.value === 'string' ? JSON.parse(row.value) : row.value) as T;\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'THREAD_STATE_GET', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { threadId, type },\n },\n error,\n );\n }\n }\n\n async setState({ threadId, type, value }: { threadId: string; type: string; value: T }): Promise {\n const now = new Date().toISOString();\n const serialized = JSON.stringify(value ?? null);\n try {\n // Single-statement upsert: concurrent writers to the same slot resolve on\n // the primary key rather than racing a read-then-write. `createdAt` is\n // left untouched on conflict so it keeps meaning \"first written\".\n await this.#db.client.none(\n `INSERT INTO ${this.#table} (\"threadId\", \"type\", \"value\", \"createdAt\", \"createdAtZ\", \"updatedAt\", \"updatedAtZ\")\n VALUES ($1, $2, $3::jsonb, $4::timestamp, $5::timestamptz, $4::timestamp, $5::timestamptz)\n ON CONFLICT (\"threadId\", \"type\")\n DO UPDATE SET \"value\" = EXCLUDED.\"value\",\n \"updatedAt\" = EXCLUDED.\"updatedAt\",\n \"updatedAtZ\" = EXCLUDED.\"updatedAtZ\"`,\n // `now` is bound twice because the naive and timezone-aware mirror\n // columns deduce different parameter types from a shared placeholder.\n [threadId, type, serialized, now, now],\n );\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'THREAD_STATE_SET', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { threadId, type },\n },\n error,\n );\n }\n }\n\n async deleteState({ threadId, type }: { threadId: string; type: string }): Promise {\n try {\n await this.#db.client.none(`DELETE FROM ${this.#table} WHERE \"threadId\" = $1 AND \"type\" = $2`, [threadId, type]);\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'THREAD_STATE_DELETE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { threadId, type },\n },\n error,\n );\n }\n }\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport {\n ToolProviderConnectionsStorage,\n createStorageErrorId,\n TABLE_TOOL_PROVIDER_CONNECTIONS,\n TABLE_SCHEMAS,\n} from '@mastra/core/storage';\nimport type {\n CreateIndexOptions,\n StorageDeleteToolProviderConnectionInput,\n StorageListToolProviderConnectionsInput,\n StorageToolProviderConnection,\n StorageToolProviderConnectionKey,\n StorageToolProviderConnectionScope,\n StorageUpsertToolProviderConnectionInput,\n} from '@mastra/core/storage';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\n\nimport { PgDB, resolvePgConfig, generateTableSQL, generateIndexSQL } from '../../db';\nimport type { PgDomainConfig } from '../../db';\nimport { getTableName, getSchemaName } from '../utils';\n\nfunction normaliseScope(raw: unknown): StorageToolProviderConnectionScope {\n const value = raw == null ? 'per-author' : String(raw);\n if (value === 'shared') return 'shared';\n if (value === 'caller-supplied') return 'caller-supplied';\n return 'per-author';\n}\n\nfunction rowToToolProviderConnection(row: Record): StorageToolProviderConnection {\n return {\n authorId: String(row.authorId),\n providerId: String(row.providerId),\n toolkit: String(row.toolkit),\n connectionId: String(row.connectionId),\n label: row.label == null ? null : String(row.label),\n scope: normaliseScope(row.scope),\n createdAt: new Date(String(row.createdAtZ ?? row.createdAt)),\n updatedAt: new Date(String(row.updatedAtZ ?? row.updatedAt)),\n };\n}\n\nexport class ToolProviderConnectionsPG extends ToolProviderConnectionsStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n static readonly MANAGED_TABLES = [TABLE_TOOL_PROVIDER_CONNECTIONS] as const;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n this.#indexes = indexes?.filter(idx =>\n (ToolProviderConnectionsPG.MANAGED_TABLES as readonly string[]).includes(idx.table),\n );\n }\n\n async init(): Promise {\n await this.#db.createTable({\n tableName: TABLE_TOOL_PROVIDER_CONNECTIONS,\n schema: TABLE_SCHEMAS[TABLE_TOOL_PROVIDER_CONNECTIONS],\n compositePrimaryKey: ['authorId', 'providerId', 'connectionId'],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n static getDefaultIndexDefs(schemaPrefix: string): CreateIndexOptions[] {\n return [\n {\n name: `${schemaPrefix}idx_tool_provider_connections_author`,\n table: TABLE_TOOL_PROVIDER_CONNECTIONS,\n columns: ['authorId', 'providerId', 'toolkit'],\n },\n ];\n }\n\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n const parsedSchema = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n const schemaPrefix = parsedSchema && parsedSchema !== 'public' ? `${parsedSchema}_` : '';\n\n statements.push(\n generateTableSQL({\n tableName: TABLE_TOOL_PROVIDER_CONNECTIONS,\n schema: TABLE_SCHEMAS[TABLE_TOOL_PROVIDER_CONNECTIONS],\n schemaName,\n compositePrimaryKey: ['authorId', 'providerId', 'connectionId'],\n includeAllConstraints: true,\n }),\n );\n\n for (const idx of ToolProviderConnectionsPG.getDefaultIndexDefs(schemaPrefix)) {\n statements.push(generateIndexSQL(idx, schemaName));\n }\n\n return statements;\n }\n\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return ToolProviderConnectionsPG.getDefaultIndexDefs(schemaPrefix);\n }\n\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) return;\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create index ${indexDef.name}:`, error);\n }\n }\n }\n\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) return;\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_TOOL_PROVIDER_CONNECTIONS });\n }\n\n async getConnectionById({\n authorId,\n providerId,\n connectionId,\n }: StorageToolProviderConnectionKey): Promise {\n const tableName = getTableName({\n indexName: TABLE_TOOL_PROVIDER_CONNECTIONS,\n schemaName: getSchemaName(this.#schema),\n });\n\n try {\n const row = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"authorId\" = $1 AND \"providerId\" = $2 AND \"connectionId\" = $3 LIMIT 1`,\n [authorId, providerId, connectionId],\n );\n return row ? rowToToolProviderConnection(row) : null;\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'TOOL_PROVIDER_CONNECTION_GET', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { authorId, providerId, connectionId },\n },\n error,\n );\n }\n }\n\n async upsertConnection(input: StorageUpsertToolProviderConnectionInput): Promise {\n const { authorId, providerId, toolkit, connectionId, label } = input;\n const tableName = getTableName({\n indexName: TABLE_TOOL_PROVIDER_CONNECTIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const now = new Date();\n const nowIso = now.toISOString();\n const labelValue = label == null ? null : label;\n\n try {\n return await this.#db.client.tx(async t => {\n const existing = await t.oneOrNone(\n `SELECT \"createdAt\", \"createdAtZ\", scope FROM ${tableName} WHERE \"authorId\" = $1 AND \"providerId\" = $2 AND \"connectionId\" = $3 LIMIT 1`,\n [authorId, providerId, connectionId],\n );\n const existingCreatedAt = existing ? (existing.createdAtZ ?? existing.createdAt) : null;\n const createdAt =\n existingCreatedAt != null ? new Date(existingCreatedAt as string | Date).toISOString() : nowIso;\n const existingScope = existing && existing.scope != null ? normaliseScope(existing.scope) : undefined;\n const scope: StorageToolProviderConnectionScope = input.scope ?? existingScope ?? 'per-author';\n\n await t.none(\n `INSERT INTO ${tableName} (\"authorId\", \"providerId\", toolkit, \"connectionId\", label, scope, \"createdAt\", \"createdAtZ\", \"updatedAt\", \"updatedAtZ\")\n VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10)\n ON CONFLICT (\"authorId\", \"providerId\", \"connectionId\") DO UPDATE SET\n toolkit = EXCLUDED.toolkit,\n label = EXCLUDED.label,\n scope = EXCLUDED.scope,\n \"updatedAt\" = EXCLUDED.\"updatedAt\",\n \"updatedAtZ\" = EXCLUDED.\"updatedAtZ\"`,\n [authorId, providerId, toolkit, connectionId, labelValue, scope, createdAt, createdAt, nowIso, nowIso],\n );\n\n return {\n authorId,\n providerId,\n toolkit,\n connectionId,\n label: labelValue,\n scope,\n createdAt: new Date(createdAt),\n updatedAt: now,\n };\n });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'TOOL_PROVIDER_CONNECTION_UPSERT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { authorId, providerId, connectionId },\n },\n error,\n );\n }\n }\n\n async listConnectionsByAuthor({\n authorId,\n providerId,\n toolkit,\n scope,\n }: StorageListToolProviderConnectionsInput): Promise {\n const tableName = getTableName({\n indexName: TABLE_TOOL_PROVIDER_CONNECTIONS,\n schemaName: getSchemaName(this.#schema),\n });\n\n try {\n const clauses: string[] = [];\n const args: string[] = [];\n if (authorId !== undefined) {\n args.push(authorId);\n clauses.push(`\"authorId\" = $${args.length}`);\n }\n if (providerId) {\n args.push(providerId);\n clauses.push(`\"providerId\" = $${args.length}`);\n }\n if (toolkit) {\n args.push(toolkit);\n clauses.push(`toolkit = $${args.length}`);\n }\n if (scope) {\n args.push(scope);\n clauses.push(`scope = $${args.length}`);\n }\n const whereClause = clauses.length > 0 ? ` WHERE ${clauses.join(' AND ')}` : '';\n const rows = await this.#db.readClient.manyOrNone(`SELECT * FROM ${tableName}${whereClause}`, args);\n return rows.map(row => rowToToolProviderConnection(row));\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'TOOL_PROVIDER_CONNECTION_LIST', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { authorId: authorId ?? '', providerId: providerId ?? '', toolkit: toolkit ?? '' },\n },\n error,\n );\n }\n }\n\n async deleteConnection({\n authorId,\n providerId,\n connectionId,\n }: StorageDeleteToolProviderConnectionInput): Promise {\n const tableName = getTableName({\n indexName: TABLE_TOOL_PROVIDER_CONNECTIONS,\n schemaName: getSchemaName(this.#schema),\n });\n\n try {\n await this.#db.client.none(\n `DELETE FROM ${tableName} WHERE \"authorId\" = $1 AND \"providerId\" = $2 AND \"connectionId\" = $3`,\n [authorId, providerId, connectionId],\n );\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'TOOL_PROVIDER_CONNECTION_DELETE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { authorId, providerId, connectionId },\n },\n error,\n );\n }\n }\n}\n","import { TABLE_SCHEMAS, TABLE_WORKFLOW_DEFINITIONS, WorkflowDefinitionsStorage } from '@mastra/core/storage';\nimport type {\n CreateIndexOptions,\n CreateWorkflowDefinitionInput,\n ListWorkflowDefinitionsInput,\n ListWorkflowDefinitionsOutput,\n UpdateWorkflowDefinitionInput,\n WorkflowDefinition,\n} from '@mastra/core/storage';\n\nimport { PgDB, resolvePgConfig, generateTableSQL } from '../../db';\nimport type { DbClient, PgDomainConfig } from '../../db';\nimport { getSchemaName, getTableName, parseJsonResilient } from '../utils';\n\nfunction rowToDefinition(row: Record): WorkflowDefinition {\n const inputSchema = parseJsonResilient(row.inputSchema);\n const outputSchema = parseJsonResilient(row.outputSchema);\n const graph = parseJsonResilient(row.graph);\n if (inputSchema === undefined || outputSchema === undefined || graph === undefined) {\n throw new Error(`Workflow definition row \"${String(row.id)}\" is missing required JSON columns.`);\n }\n const def: WorkflowDefinition = {\n id: String(row.id),\n inputSchema,\n outputSchema,\n graph: graph as WorkflowDefinition['graph'],\n status: String(row.status) as WorkflowDefinition['status'],\n source: String(row.source) as WorkflowDefinition['source'],\n createdAt: new Date((row.createdAtZ ?? row.createdAt) as string | number | Date),\n updatedAt: new Date((row.updatedAtZ ?? row.updatedAt) as string | number | Date),\n };\n if (row.description != null) def.description = String(row.description);\n const metadata = parseJsonResilient(row.metadata);\n if (metadata !== undefined && metadata !== null) def.metadata = metadata as Record;\n const stateSchema = parseJsonResilient(row.stateSchema);\n if (stateSchema !== undefined && stateSchema !== null) def.stateSchema = stateSchema;\n const requestContextSchema = parseJsonResilient(row.requestContextSchema);\n if (requestContextSchema !== undefined && requestContextSchema !== null) {\n def.requestContextSchema = requestContextSchema;\n }\n const schedule = parseJsonResilient(row.schedule);\n if (schedule !== undefined && schedule !== null) def.schedule = schedule as WorkflowDefinition['schedule'];\n if (row.authorId != null) def.authorId = String(row.authorId);\n return def;\n}\n\nexport class WorkflowDefinitionsPG extends WorkflowDefinitionsStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n static readonly MANAGED_TABLES = [TABLE_WORKFLOW_DEFINITIONS] as const;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n this.#indexes = indexes?.filter(idx =>\n (WorkflowDefinitionsPG.MANAGED_TABLES as readonly string[]).includes(idx.table),\n );\n }\n\n static getExportDDL(schemaName?: string): string[] {\n return [\n generateTableSQL({\n tableName: TABLE_WORKFLOW_DEFINITIONS,\n schema: TABLE_SCHEMAS[TABLE_WORKFLOW_DEFINITIONS],\n schemaName,\n includeAllConstraints: true,\n }),\n ];\n }\n\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return [\n {\n name: `${schemaPrefix}idx_workflow_definitions_status`,\n table: TABLE_WORKFLOW_DEFINITIONS,\n columns: ['status'],\n },\n ];\n }\n\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) return;\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create index ${indexDef.name}:`, error);\n }\n }\n }\n\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) return;\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n async init(): Promise {\n await this.#db.createTable({\n tableName: TABLE_WORKFLOW_DEFINITIONS,\n schema: TABLE_SCHEMAS[TABLE_WORKFLOW_DEFINITIONS],\n });\n await this.#db.alterTable({\n tableName: TABLE_WORKFLOW_DEFINITIONS,\n schema: TABLE_SCHEMAS[TABLE_WORKFLOW_DEFINITIONS],\n ifNotExists: ['schedule'],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_WORKFLOW_DEFINITIONS });\n }\n\n async upsert(input: CreateWorkflowDefinitionInput | UpdateWorkflowDefinitionInput): Promise {\n const now = new Date();\n const existing = await this.#get(this.#db.client, input.id);\n\n if (!existing) {\n if (!('inputSchema' in input) || !input.inputSchema)\n throw new Error(`Cannot create workflow definition \"${input.id}\": inputSchema is required.`);\n if (!('outputSchema' in input) || !input.outputSchema)\n throw new Error(`Cannot create workflow definition \"${input.id}\": outputSchema is required.`);\n if (!('graph' in input) || !input.graph)\n throw new Error(`Cannot create workflow definition \"${input.id}\": graph is required.`);\n\n const record: Record = {\n id: input.id,\n description: input.description ?? null,\n metadata: input.metadata ?? null,\n inputSchema: input.inputSchema,\n outputSchema: input.outputSchema,\n stateSchema: input.stateSchema ?? null,\n requestContextSchema: input.requestContextSchema ?? null,\n graph: input.graph,\n schedule: 'schedule' in input ? (input.schedule ?? null) : null,\n status: 'active',\n source: 'storage',\n authorId: 'authorId' in input ? (input.authorId ?? null) : null,\n createdAt: now,\n updatedAt: now,\n };\n try {\n await this.#db.insert({ tableName: TABLE_WORKFLOW_DEFINITIONS, record });\n } catch (error) {\n // A concurrent upsert may have created the row after our existence\n // check; fall back to updating it so the upsert stays idempotent.\n if (!(await this.#get(this.#db.client, input.id))) throw error;\n return this.applyUpdate(input, now);\n }\n const created = await this.#get(this.#db.client, input.id);\n if (!created) throw new Error(`Failed to persist workflow definition \"${input.id}\".`);\n return created;\n }\n\n return this.applyUpdate(input, now);\n }\n\n private async applyUpdate(\n input: CreateWorkflowDefinitionInput | UpdateWorkflowDefinitionInput,\n now: Date,\n ): Promise {\n const data: Record = { updatedAt: now };\n if ('description' in input && input.description !== undefined) data.description = input.description;\n if ('metadata' in input && input.metadata !== undefined) data.metadata = input.metadata;\n if ('inputSchema' in input && input.inputSchema !== undefined) data.inputSchema = input.inputSchema;\n if ('outputSchema' in input && input.outputSchema !== undefined) data.outputSchema = input.outputSchema;\n if ('stateSchema' in input && input.stateSchema !== undefined) data.stateSchema = input.stateSchema;\n if ('requestContextSchema' in input && input.requestContextSchema !== undefined)\n data.requestContextSchema = input.requestContextSchema;\n if ('graph' in input && input.graph !== undefined) data.graph = input.graph;\n if ('schedule' in input && input.schedule !== undefined) data.schedule = input.schedule;\n if ('status' in input && input.status !== undefined) data.status = input.status;\n if ('authorId' in input && input.authorId !== undefined) data.authorId = input.authorId;\n\n await this.#db.update({ tableName: TABLE_WORKFLOW_DEFINITIONS, keys: { id: input.id }, data });\n const updated = await this.#get(this.#db.client, input.id);\n if (!updated) throw new Error(`Failed to update workflow definition \"${input.id}\".`);\n return updated;\n }\n\n async get(id: string): Promise {\n return this.#get(this.#db.readClient, id);\n }\n\n /**\n * Same lookup against an explicit client. Mutation paths pass the writer so a\n * lagging read replica cannot yield stale or missing rows mid-update.\n */\n async #get(client: DbClient, id: string): Promise {\n const tableName = getTableName({\n indexName: TABLE_WORKFLOW_DEFINITIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const row = await client.oneOrNone(`SELECT * FROM ${tableName} WHERE \"id\" = $1`, [id]);\n return row ? rowToDefinition(row as Record) : null;\n }\n\n async list(args?: ListWorkflowDefinitionsInput): Promise {\n const tableName = getTableName({\n indexName: TABLE_WORKFLOW_DEFINITIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const conditions: string[] = [];\n const params: unknown[] = [];\n if (args?.status) {\n params.push(args.status);\n conditions.push(`\"status\" = $${params.length}`);\n }\n if (args?.authorId !== undefined) {\n params.push(args.authorId);\n conditions.push(`\"authorId\" = $${params.length}`);\n }\n const where = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';\n const rows = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} ${where} ORDER BY \"updatedAt\" DESC`,\n params,\n );\n const definitions = rows.map(row => rowToDefinition(row as Record));\n return { definitions, total: definitions.length };\n }\n\n async delete(id: string): Promise {\n const tableName = getTableName({\n indexName: TABLE_WORKFLOW_DEFINITIONS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE \"id\" = $1`, [id]);\n }\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport {\n mergeWorkflowStepResult,\n normalizePerPage,\n TABLE_WORKFLOW_SNAPSHOT,\n TABLE_SCHEMAS,\n matchesExpectedWorkflowStatus,\n WorkflowsStorage,\n createStorageErrorId,\n} from '@mastra/core/storage';\nimport type {\n UpdateWorkflowStateOptions,\n StorageListWorkflowRunsInput,\n WorkflowRun,\n WorkflowRuns,\n CreateIndexOptions,\n TABLE_NAMES,\n PruneOptions,\n PruneResult,\n RetentionTablesDescriptor,\n TableRetentionPolicy,\n} from '@mastra/core/storage';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport type { StepResult, WorkflowRunState } from '@mastra/core/workflows';\nimport { PgDB, resolvePgConfig, generateTableSQL, generateIndexSQL } from '../../db';\nimport type { PgDomainConfig } from '../../db';\nimport { buildConstraintName } from '../../db/constraint-utils';\nimport { sanitizeJsonForPg } from '../../db/sanitize-json';\nimport { runPrune, resolveTargets } from '../../retention';\n\nexport { sanitizeJsonForPg };\n\nfunction getSchemaName(schema?: string) {\n return schema ? `\"${schema}\"` : '\"public\"';\n}\n\nfunction getTableName({ indexName, schemaName }: { indexName: string; schemaName?: string }) {\n const quotedIndexName = `\"${indexName}\"`;\n return schemaName ? `${schemaName}.${quotedIndexName}` : quotedIndexName;\n}\n\n/** Base name (before any schema prefix) of the expression index backing the status filter. */\nconst WORKFLOW_SNAPSHOT_STATUS_INDEX = 'mastra_workflow_snapshot_name_status_createdat_idx';\n\n/**\n * Schema-prefixed name of the status index, lowercased and truncated the same way Postgres\n * stores it, so the init snapshot's index set answers \"does it exist?\" without a probe or a\n * no-op `CREATE INDEX` (schema-prefixed names routinely exceed the 63-byte limit).\n */\nfunction workflowSnapshotStatusIndexName(schemaName?: string): string {\n return buildConstraintName({\n baseName: WORKFLOW_SNAPSHOT_STATUS_INDEX,\n schemaName: schemaName && schemaName !== 'public' ? schemaName : undefined,\n });\n}\n\n/**\n * Expression index on `(workflow_name, snapshot->>'status', \"createdAt\" DESC)` so\n * listWorkflowRuns() status filters can use an index instead of scanning every snapshot.\n */\nfunction workflowSnapshotStatusIndexSQL(indexName: string, schemaName?: string): string {\n const tableName = getTableName({ indexName: TABLE_WORKFLOW_SNAPSHOT, schemaName: getSchemaName(schemaName) });\n return `CREATE INDEX IF NOT EXISTS \"${indexName}\" ON ${tableName} (workflow_name, (snapshot ->> 'status'), \"createdAt\" DESC)`;\n}\n\nexport class WorkflowsPG extends WorkflowsStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n /** Tables managed by this domain */\n static readonly MANAGED_TABLES = [TABLE_WORKFLOW_SNAPSHOT] as const;\n\n /**\n * Workflow run snapshots accumulate as runs execute. Anchored on the\n * timezone-aware `updatedAtZ` mirror column (last activity) so suspended or\n * long-running runs are not pruned by start age.\n */\n static override readonly retentionTables: RetentionTablesDescriptor = {\n workflowSnapshot: { table: TABLE_WORKFLOW_SNAPSHOT, column: 'updatedAtZ', indexed: true },\n };\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n // Filter indexes to only those for tables managed by this domain\n this.#indexes = indexes?.filter(idx => (WorkflowsPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n supportsConcurrentUpdates(): boolean {\n return true;\n }\n\n private parseWorkflowRun(row: Record): WorkflowRun {\n let parsedSnapshot: WorkflowRunState | string = row.snapshot as string;\n if (typeof parsedSnapshot === 'string') {\n try {\n parsedSnapshot = JSON.parse(row.snapshot as string) as WorkflowRunState;\n } catch (e) {\n this.logger.warn(`Failed to parse snapshot for workflow ${row.workflow_name}: ${e}`);\n }\n }\n return {\n workflowName: row.workflow_name as string,\n runId: row.run_id as string,\n snapshot: parsedSnapshot,\n resourceId: row.resourceId as string,\n createdAt: new Date(row.createdAtZ || (row.createdAt as string)),\n updatedAt: new Date(row.updatedAtZ || (row.updatedAt as string)),\n };\n }\n\n static getDefaultIndexDefs(schemaPrefix: string): CreateIndexOptions[] {\n return [\n {\n name: `${schemaPrefix}mastra_workflow_snapshot_name_createdat_idx`,\n table: TABLE_WORKFLOW_SNAPSHOT,\n columns: ['workflow_name', 'createdAt DESC'],\n },\n ];\n }\n\n /**\n * Returns all DDL statements for this domain: table with unique constraint.\n * Used by exportSchemas to produce a complete, reproducible schema export.\n */\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n const parsedSchema = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n const schemaPrefix = parsedSchema && parsedSchema !== 'public' ? `${parsedSchema}_` : '';\n\n // Table (includes the UNIQUE constraint on workflow_name, run_id via generateTableSQL)\n statements.push(\n generateTableSQL({\n tableName: TABLE_WORKFLOW_SNAPSHOT,\n schema: TABLE_SCHEMAS[TABLE_WORKFLOW_SNAPSHOT],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n\n for (const idx of WorkflowsPG.getDefaultIndexDefs(schemaPrefix)) {\n statements.push(generateIndexSQL(idx, schemaName));\n }\n\n statements.push(`${workflowSnapshotStatusIndexSQL(workflowSnapshotStatusIndexName(parsedSchema), schemaName)};`);\n\n return statements;\n }\n\n /**\n * Returns default index definitions for the workflows domain tables.\n */\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return WorkflowsPG.getDefaultIndexDefs(schemaPrefix);\n }\n\n /**\n * Creates default indexes for optimal query performance.\n */\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) return;\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create index ${indexDef.name}:`, error);\n }\n }\n\n // Expression index backing the status filter in listWorkflowRuns(). Only valid on jsonb\n // columns — legacy json/text snapshot columns still go through the sanitizing regexp,\n // which cannot use an index anyway.\n const snapshotType = await this.#db.getColumnType(TABLE_WORKFLOW_SNAPSHOT, 'snapshot');\n if (snapshotType !== 'jsonb') return;\n\n const indexName = workflowSnapshotStatusIndexName(this.#schema);\n try {\n await this.#db.createIndexFromStatement(indexName, workflowSnapshotStatusIndexSQL(indexName, this.#schema));\n } catch (error) {\n this.logger?.warn?.(`Failed to create index ${indexName}:`, error);\n }\n }\n\n async init(): Promise {\n await this.#db.createTable({ tableName: TABLE_WORKFLOW_SNAPSHOT, schema: TABLE_SCHEMAS[TABLE_WORKFLOW_SNAPSHOT] });\n await this.#db.alterTable({\n tableName: TABLE_WORKFLOW_SNAPSHOT,\n schema: TABLE_SCHEMAS[TABLE_WORKFLOW_SNAPSHOT],\n ifNotExists: ['resourceId'],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n /**\n * Lazily ensures a btree index exists on each configured policy's retention\n * anchor column so age-based `prune()` deletes stay fast on large tables.\n * Called from the prune path (not init) so only deployments that configure\n * retention pay the index's write/disk overhead. Best-effort: failures are\n * logged and pruning proceeds (correct, just slower).\n * Created even with `skipDefaultIndexes` — retention is an explicit opt-in,\n * so its supporting index is not part of the default index set.\n */\n private async ensureRetentionIndexes(policies: Record): Promise {\n const prefix = this.#schema && this.#schema !== 'public' ? `${this.#schema}_` : '';\n for (const [key, entry] of Object.entries(WorkflowsPG.retentionTables)) {\n if (!entry.indexed || !policies[key]) continue;\n try {\n await this.#db.ensureIndex({\n indexName: `${prefix}mastra_${key}_retention_idx`,\n tableName: entry.table as TABLE_NAMES,\n column: entry.column,\n });\n } catch (error) {\n this.logger?.warn?.(`Failed to create retention index for ${entry.table}:`, error);\n }\n }\n }\n\n /** Delete workflow run snapshots older than the `workflowSnapshot` policy's `maxAge`, batched. */\n async prune(policies: Record, options?: PruneOptions): Promise {\n await this.ensureRetentionIndexes(policies);\n const targets = resolveTargets({\n policies,\n descriptor: WorkflowsPG.retentionTables,\n order: ['workflowSnapshot'],\n });\n return runPrune({ db: this.#db, domain: 'workflows', targets, options });\n }\n\n /**\n * Creates custom user-defined indexes for this domain's tables.\n */\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) {\n return;\n }\n\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n // Log but continue - indexes are performance optimizations\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_WORKFLOW_SNAPSHOT });\n }\n\n async updateWorkflowResults({\n workflowName,\n runId,\n stepId,\n result,\n requestContext,\n }: {\n workflowName: string;\n runId: string;\n stepId: string;\n result: StepResult;\n requestContext: Record;\n }): Promise>> {\n try {\n // Use a transaction with row-level locking to ensure atomicity\n return await this.#db.client.tx(async t => {\n const tableName = getTableName({ indexName: TABLE_WORKFLOW_SNAPSHOT, schemaName: getSchemaName(this.#schema) });\n\n // Load existing snapshot within transaction with FOR UPDATE to lock the row\n // This prevents concurrent updates from reading stale data\n const existingSnapshotResult = await t.oneOrNone<{ snapshot: WorkflowRunState }>(\n `SELECT snapshot FROM ${tableName} WHERE workflow_name = $1 AND run_id = $2 FOR UPDATE`,\n [workflowName, runId],\n );\n\n let snapshot: WorkflowRunState;\n if (!existingSnapshotResult) {\n // Create new snapshot if none exists\n snapshot = {\n context: {},\n activePaths: [],\n timestamp: Date.now(),\n suspendedPaths: {},\n activeStepsPath: {},\n resumeLabels: {},\n serializedStepGraph: [],\n status: 'pending',\n value: {},\n waitingPaths: {},\n runId: runId,\n requestContext: {},\n } as WorkflowRunState;\n } else {\n // Parse existing snapshot\n const existingSnapshot = existingSnapshotResult.snapshot;\n snapshot = typeof existingSnapshot === 'string' ? JSON.parse(existingSnapshot) : existingSnapshot;\n }\n\n // Merge the new step result using element-wise array merging\n // (critical for concurrent foreach iteration results)\n mergeWorkflowStepResult({ snapshot, stepId, result, requestContext });\n\n // Upsert the snapshot within the same transaction\n const now = new Date();\n const sanitizedSnapshot = sanitizeJsonForPg(JSON.stringify(snapshot));\n await t.none(\n `INSERT INTO ${tableName}\n (workflow_name, run_id, snapshot, \"createdAt\", \"updatedAt\", \"createdAtZ\", \"updatedAtZ\")\n VALUES ($1, $2, $3, $4, $5, $6, $7)\n ON CONFLICT (workflow_name, run_id) DO UPDATE\n SET snapshot = $3, \"updatedAt\" = $5, \"updatedAtZ\" = $7`,\n [workflowName, runId, sanitizedSnapshot, now, now, now, now],\n );\n\n return snapshot.context;\n });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_WORKFLOW_RESULTS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n workflowName,\n runId,\n stepId,\n },\n },\n error,\n );\n }\n }\n async updateWorkflowState({\n workflowName,\n runId,\n opts,\n }: {\n workflowName: string;\n runId: string;\n opts: UpdateWorkflowStateOptions;\n }): Promise {\n try {\n // Use a transaction with row-level locking to ensure atomicity\n return await this.#db.client.tx(async t => {\n const tableName = getTableName({ indexName: TABLE_WORKFLOW_SNAPSHOT, schemaName: getSchemaName(this.#schema) });\n\n // Load existing snapshot within transaction with FOR UPDATE to lock the row\n // This prevents concurrent updates from reading stale data\n const existingSnapshotResult = await t.oneOrNone<{ snapshot: WorkflowRunState }>(\n `SELECT snapshot FROM ${tableName} WHERE workflow_name = $1 AND run_id = $2 FOR UPDATE`,\n [workflowName, runId],\n );\n\n if (!existingSnapshotResult) {\n return undefined;\n }\n\n // Parse existing snapshot\n const existingSnapshot = existingSnapshotResult.snapshot;\n const snapshot = typeof existingSnapshot === 'string' ? JSON.parse(existingSnapshot) : existingSnapshot;\n\n if (!snapshot || !snapshot?.context) {\n throw new Error(`Snapshot not found for runId ${runId}`);\n }\n\n // `expectedStatus` is a compare-and-set guard, not state. It is checked here, inside the\n // row lock, and stripped so it can never be merged into the persisted snapshot.\n const { expectedStatus, ...state } = opts;\n if (!matchesExpectedWorkflowStatus(snapshot.status, expectedStatus)) {\n return undefined;\n }\n\n // Merge the new options with the existing snapshot\n const updatedSnapshot = { ...snapshot, ...state };\n\n // Update the snapshot within the same transaction\n const sanitizedSnapshot = sanitizeJsonForPg(JSON.stringify(updatedSnapshot));\n const now = new Date();\n await t.none(\n `UPDATE ${tableName}\n SET snapshot = $1, \"updatedAt\" = $2, \"updatedAtZ\" = $3\n WHERE workflow_name = $4 AND run_id = $5`,\n [sanitizedSnapshot, now, now, workflowName, runId],\n );\n\n return updatedSnapshot;\n });\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_WORKFLOW_STATE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n workflowName,\n runId,\n },\n },\n error,\n );\n }\n }\n\n async persistWorkflowSnapshot({\n workflowName,\n runId,\n resourceId,\n snapshot,\n createdAt,\n updatedAt,\n }: {\n workflowName: string;\n runId: string;\n resourceId?: string;\n snapshot: WorkflowRunState;\n createdAt?: Date;\n updatedAt?: Date;\n }): Promise {\n try {\n const now = new Date();\n const createdAtValue = createdAt ? createdAt : now;\n const updatedAtValue = updatedAt ? updatedAt : now;\n // Sanitize the snapshot JSON to remove problematic Unicode sequences\n const sanitizedSnapshot = sanitizeJsonForPg(JSON.stringify(snapshot));\n await this.#db.client.none(\n `INSERT INTO ${getTableName({ indexName: TABLE_WORKFLOW_SNAPSHOT, schemaName: getSchemaName(this.#schema) })} AS t\n (workflow_name, run_id, \"resourceId\", snapshot, \"createdAt\", \"updatedAt\", \"createdAtZ\", \"updatedAtZ\")\n VALUES ($1, $2, $3, $4, $5, $6, $7, $8)\n ON CONFLICT (workflow_name, run_id) DO UPDATE\n SET \"resourceId\" = COALESCE($3, t.\"resourceId\"), snapshot = $4, \"updatedAt\" = $6, \"updatedAtZ\" = $8`,\n [\n workflowName,\n runId,\n resourceId,\n sanitizedSnapshot,\n createdAtValue,\n updatedAtValue,\n createdAtValue,\n updatedAtValue,\n ],\n );\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'PERSIST_WORKFLOW_SNAPSHOT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async loadWorkflowSnapshot({\n workflowName,\n runId,\n }: {\n workflowName: string;\n runId: string;\n }): Promise {\n try {\n const result = await this.#db.load<{ snapshot: WorkflowRunState }>({\n tableName: TABLE_WORKFLOW_SNAPSHOT,\n keys: { workflow_name: workflowName, run_id: runId },\n });\n\n return result ? result.snapshot : null;\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LOAD_WORKFLOW_SNAPSHOT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n async getWorkflowRunById({\n runId,\n workflowName,\n }: {\n runId: string;\n workflowName?: string;\n }): Promise {\n try {\n const conditions: string[] = [];\n const values: any[] = [];\n let paramIndex = 1;\n\n if (runId) {\n conditions.push(`run_id = $${paramIndex}`);\n values.push(runId);\n paramIndex++;\n }\n\n if (workflowName) {\n conditions.push(`workflow_name = $${paramIndex}`);\n values.push(workflowName);\n paramIndex++;\n }\n\n const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';\n\n const query = `\n SELECT * FROM ${getTableName({ indexName: TABLE_WORKFLOW_SNAPSHOT, schemaName: getSchemaName(this.#schema) })}\n ${whereClause}\n ORDER BY \"createdAt\" DESC LIMIT 1\n `;\n\n const queryValues = values;\n\n const result = await this.#db.readClient.oneOrNone(query, queryValues);\n\n if (!result) {\n return null;\n }\n\n return this.parseWorkflowRun(result);\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_WORKFLOW_RUN_BY_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n runId,\n workflowName: workflowName || '',\n },\n },\n error,\n );\n }\n }\n\n async deleteWorkflowRunById({ runId, workflowName }: { runId: string; workflowName: string }): Promise {\n try {\n await this.#db.client.none(\n `DELETE FROM ${getTableName({ indexName: TABLE_WORKFLOW_SNAPSHOT, schemaName: getSchemaName(this.#schema) })} WHERE run_id = $1 AND workflow_name = $2`,\n [runId, workflowName],\n );\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_WORKFLOW_RUN_BY_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n runId,\n workflowName,\n },\n },\n error,\n );\n }\n }\n\n async listWorkflowRuns({\n workflowName,\n fromDate,\n toDate,\n perPage,\n page,\n resourceId,\n status,\n }: StorageListWorkflowRunsInput = {}): Promise {\n try {\n const conditions: string[] = [];\n const values: any[] = [];\n let paramIndex = 1;\n\n if (workflowName) {\n conditions.push(`workflow_name = $${paramIndex}`);\n values.push(workflowName);\n paramIndex++;\n }\n\n if (status) {\n // On jsonb columns PostgreSQL already rejects problematic Unicode escape sequences at\n // insert time, so the sanitizing regexp is a no-op there — and it prevents the planner\n // from using any index on the status field, forcing a sequential scan.\n // Legacy tables whose snapshot column is still json/text can contain those sequences,\n // so they keep the regexp_replace path:\n // - \\u0000 (null character) fails the jsonb cast with 22P05 \"unsupported Unicode escape sequence\"\n // - \\uD800-\\uDFFF (unpaired surrogates) fail with \"Unicode low surrogate must follow a high surrogate\"\n // See: https://github.com/mastra-ai/mastra/issues/11563\n const snapshotType = await this.#db.getColumnType(TABLE_WORKFLOW_SNAPSHOT, 'snapshot');\n const statusExpr =\n snapshotType === 'jsonb'\n ? `snapshot ->> 'status'`\n : `regexp_replace(snapshot::text, '\\\\\\\\u(0000|[Dd][89A-Fa-f][0-9A-Fa-f]{2})', '', 'g')::jsonb ->> 'status'`;\n conditions.push(`${statusExpr} = $${paramIndex}`);\n values.push(status);\n paramIndex++;\n }\n\n if (resourceId) {\n const hasResourceId = await this.#db.hasColumn(TABLE_WORKFLOW_SNAPSHOT, 'resourceId');\n if (hasResourceId) {\n conditions.push(`\"resourceId\" = $${paramIndex}`);\n values.push(resourceId);\n paramIndex++;\n } else {\n this.logger?.warn?.(`[${TABLE_WORKFLOW_SNAPSHOT}] resourceId column not found. Skipping resourceId filter.`);\n }\n }\n\n if (fromDate) {\n conditions.push(`\"createdAt\" >= $${paramIndex}`);\n values.push(fromDate);\n paramIndex++;\n }\n\n if (toDate) {\n conditions.push(`\"createdAt\" <= $${paramIndex}`);\n values.push(toDate);\n paramIndex++;\n }\n const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';\n\n let total = 0;\n const usePagination = typeof perPage === 'number' && typeof page === 'number';\n if (usePagination) {\n const countResult = await this.#db.client.one(\n `SELECT COUNT(*) as count FROM ${getTableName({ indexName: TABLE_WORKFLOW_SNAPSHOT, schemaName: getSchemaName(this.#schema) })} ${whereClause}`,\n values,\n );\n total = Number(countResult.count);\n }\n\n const normalizedPerPage = usePagination ? normalizePerPage(perPage, Number.MAX_SAFE_INTEGER) : 0;\n const offset = usePagination ? page! * normalizedPerPage : undefined;\n\n const query = `\n SELECT * FROM ${getTableName({ indexName: TABLE_WORKFLOW_SNAPSHOT, schemaName: getSchemaName(this.#schema) })}\n ${whereClause}\n ORDER BY \"createdAt\" DESC\n ${usePagination ? ` LIMIT $${paramIndex} OFFSET $${paramIndex + 1}` : ''}\n `;\n\n const queryValues = usePagination ? [...values, normalizedPerPage, offset] : values;\n\n const result = await this.#db.client.manyOrNone(query, queryValues);\n\n const runs = (result || []).map(row => {\n return this.parseWorkflowRun(row);\n });\n\n return { runs, total: total || runs.length };\n } catch (error) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_WORKFLOW_RUNS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: {\n workflowName: workflowName || 'all',\n },\n },\n error,\n );\n }\n }\n}\n","import { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport {\n WorkspacesStorage,\n createStorageErrorId,\n normalizePerPage,\n calculatePagination,\n TABLE_WORKSPACES,\n TABLE_WORKSPACE_VERSIONS,\n TABLE_SCHEMAS,\n} from '@mastra/core/storage';\nimport type {\n StorageWorkspaceType,\n StorageCreateWorkspaceInput,\n StorageUpdateWorkspaceInput,\n StorageListWorkspacesInput,\n StorageListWorkspacesOutput,\n CreateIndexOptions,\n} from '@mastra/core/storage';\nimport type {\n WorkspaceVersion,\n CreateWorkspaceVersionInput,\n ListWorkspaceVersionsInput,\n ListWorkspaceVersionsOutput,\n} from '@mastra/core/storage/domains/workspaces';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport { PgDB, resolvePgConfig, generateTableSQL, generateIndexSQL } from '../../db';\nimport type { DbClient, PgDomainConfig } from '../../db';\nimport { getTableName, getSchemaName, parseJsonResilient } from '../utils';\n\nconst SNAPSHOT_FIELDS = [\n 'name',\n 'description',\n 'filesystem',\n 'sandbox',\n 'mounts',\n 'search',\n 'skills',\n 'tools',\n 'autoSync',\n 'operationTimeout',\n] as const;\n\nexport class WorkspacesPG extends WorkspacesStorage {\n #db: PgDB;\n #schema: string;\n #skipDefaultIndexes?: boolean;\n #indexes?: CreateIndexOptions[];\n\n static readonly MANAGED_TABLES = [TABLE_WORKSPACES, TABLE_WORKSPACE_VERSIONS] as const;\n\n constructor(config: PgDomainConfig) {\n super();\n const { client, readClient, schemaName, skipDefaultIndexes, indexes } = resolvePgConfig(config);\n this.#db = new PgDB({ client, readClient, schemaName, skipDefaultIndexes });\n this.#schema = schemaName || 'public';\n this.#skipDefaultIndexes = skipDefaultIndexes;\n this.#indexes = indexes?.filter(idx => (WorkspacesPG.MANAGED_TABLES as readonly string[]).includes(idx.table));\n }\n\n static getDefaultIndexDefs(schemaPrefix: string): CreateIndexOptions[] {\n return [\n {\n name: `${schemaPrefix}idx_workspace_versions_workspace_version`,\n table: TABLE_WORKSPACE_VERSIONS,\n columns: ['workspaceId', 'versionNumber'],\n unique: true,\n },\n ];\n }\n\n static getExportDDL(schemaName?: string): string[] {\n const statements: string[] = [];\n const parsedSchema = schemaName ? parseSqlIdentifier(schemaName, 'schema name') : '';\n const schemaPrefix = parsedSchema && parsedSchema !== 'public' ? `${parsedSchema}_` : '';\n\n for (const tableName of WorkspacesPG.MANAGED_TABLES) {\n statements.push(\n generateTableSQL({\n tableName,\n schema: TABLE_SCHEMAS[tableName],\n schemaName,\n includeAllConstraints: true,\n }),\n );\n }\n\n for (const idx of WorkspacesPG.getDefaultIndexDefs(schemaPrefix)) {\n statements.push(generateIndexSQL(idx, schemaName));\n }\n\n return statements;\n }\n\n getDefaultIndexDefinitions(): CreateIndexOptions[] {\n const schemaPrefix = this.#schema !== 'public' ? `${this.#schema}_` : '';\n return WorkspacesPG.getDefaultIndexDefs(schemaPrefix);\n }\n\n async createDefaultIndexes(): Promise {\n if (this.#skipDefaultIndexes) {\n return;\n }\n for (const indexDef of this.getDefaultIndexDefinitions()) {\n try {\n await this.#db.createIndex(indexDef);\n } catch {\n // Indexes are performance optimizations, continue on failure\n }\n }\n }\n\n async init(): Promise {\n await this.#db.createTable({\n tableName: TABLE_WORKSPACES,\n schema: TABLE_SCHEMAS[TABLE_WORKSPACES],\n });\n await this.#db.createTable({\n tableName: TABLE_WORKSPACE_VERSIONS,\n schema: TABLE_SCHEMAS[TABLE_WORKSPACE_VERSIONS],\n });\n await this.createDefaultIndexes();\n await this.createCustomIndexes();\n }\n\n async createCustomIndexes(): Promise {\n if (!this.#indexes || this.#indexes.length === 0) {\n return;\n }\n for (const indexDef of this.#indexes) {\n try {\n await this.#db.createIndex(indexDef);\n } catch (error) {\n this.logger?.warn?.(`Failed to create custom index ${indexDef.name}:`, error);\n }\n }\n }\n\n async dangerouslyClearAll(): Promise {\n await this.#db.clearTable({ tableName: TABLE_WORKSPACE_VERSIONS });\n await this.#db.clearTable({ tableName: TABLE_WORKSPACES });\n }\n\n // ==========================================================================\n // Workspace CRUD Methods\n // ==========================================================================\n\n async getById(id: string): Promise {\n return this.#getById(this.#db.readClient, id);\n }\n\n /**\n * Same lookup against an explicit client. Mutation paths pass the writer so a\n * lagging read replica cannot yield stale or missing rows mid-update.\n */\n async #getById(client: DbClient, id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_WORKSPACES, schemaName: getSchemaName(this.#schema) });\n const result = await client.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [id]);\n\n if (!result) {\n return null;\n }\n\n return this.parseWorkspaceRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_WORKSPACE_BY_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { workspaceId: id },\n },\n error,\n );\n }\n }\n\n async create(input: { workspace: StorageCreateWorkspaceInput }): Promise {\n const { workspace } = input;\n try {\n const tableName = getTableName({ indexName: TABLE_WORKSPACES, schemaName: getSchemaName(this.#schema) });\n const now = new Date();\n const nowIso = now.toISOString();\n\n // 1. Create the thin workspace record\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, status, \"activeVersionId\", \"authorId\", metadata,\n \"createdAt\", \"createdAtZ\", \"updatedAt\", \"updatedAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9)`,\n [\n workspace.id,\n 'draft',\n null,\n workspace.authorId ?? null,\n workspace.metadata ? JSON.stringify(workspace.metadata) : null,\n nowIso,\n nowIso,\n nowIso,\n nowIso,\n ],\n );\n\n // 2. Extract snapshot fields and create version 1\n const { id: _id, authorId: _authorId, metadata: _metadata, ...snapshotConfig } = workspace;\n const versionId = crypto.randomUUID();\n await this.createVersion({\n id: versionId,\n workspaceId: workspace.id,\n versionNumber: 1,\n ...snapshotConfig,\n changedFields: [...SNAPSHOT_FIELDS],\n changeMessage: 'Initial version',\n });\n\n return {\n id: workspace.id,\n status: 'draft',\n activeVersionId: undefined,\n authorId: workspace.authorId,\n metadata: workspace.metadata,\n createdAt: now,\n updatedAt: now,\n };\n } catch (error) {\n // Best-effort cleanup\n try {\n const tableName = getTableName({\n indexName: TABLE_WORKSPACES,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(\n `DELETE FROM ${tableName} WHERE id = $1 AND status = 'draft' AND \"activeVersionId\" IS NULL`,\n [workspace.id],\n );\n } catch {\n // Ignore cleanup errors\n }\n\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_WORKSPACE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { workspaceId: workspace.id },\n },\n error,\n );\n }\n }\n\n async update(input: StorageUpdateWorkspaceInput): Promise {\n const { id, ...updates } = input;\n try {\n const tableName = getTableName({ indexName: TABLE_WORKSPACES, schemaName: getSchemaName(this.#schema) });\n\n const existingWorkspace = await this.#getById(this.#db.client, id);\n if (!existingWorkspace) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_WORKSPACE', 'NOT_FOUND'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n text: `Workspace ${id} not found`,\n details: { workspaceId: id },\n });\n }\n\n const { authorId, activeVersionId, metadata, status, ...rawConfigFields } = updates;\n let versionCreated = false;\n\n // Strip undefined keys so omitted PATCH fields don't overwrite persisted values\n const configFields: Record = {};\n for (const [key, value] of Object.entries(rawConfigFields)) {\n if (value !== undefined) configFields[key] = value;\n }\n\n // Check if any snapshot config fields are present\n const hasConfigUpdate = SNAPSHOT_FIELDS.some(field => field in configFields);\n\n if (hasConfigUpdate) {\n const latestVersion = await this.#getLatestVersion(this.#db.client, id);\n if (!latestVersion) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_WORKSPACE', 'NO_VERSIONS'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.SYSTEM,\n text: `No versions found for workspace ${id}`,\n details: { workspaceId: id },\n });\n }\n\n const {\n id: _versionId,\n workspaceId: _workspaceId,\n versionNumber: _versionNumber,\n changedFields: _changedFields,\n changeMessage: _changeMessage,\n createdAt: _createdAt,\n ...latestConfig\n } = latestVersion;\n\n const newConfig = { ...latestConfig, ...configFields };\n const changedFields = SNAPSHOT_FIELDS.filter(\n field =>\n field in configFields &&\n JSON.stringify(configFields[field as keyof typeof configFields]) !==\n JSON.stringify(latestConfig[field as keyof typeof latestConfig]),\n );\n\n if (changedFields.length > 0) {\n versionCreated = true;\n const newVersionId = crypto.randomUUID();\n await this.createVersion({\n id: newVersionId,\n workspaceId: id,\n versionNumber: latestVersion.versionNumber + 1,\n ...newConfig,\n changedFields: [...changedFields],\n changeMessage: `Updated ${changedFields.join(', ')}`,\n });\n }\n }\n\n // Update metadata fields on the workspace record\n const setClauses: string[] = [];\n const values: any[] = [];\n let paramIndex = 1;\n\n if (authorId !== undefined) {\n setClauses.push(`\"authorId\" = $${paramIndex++}`);\n values.push(authorId);\n }\n\n if (activeVersionId !== undefined) {\n setClauses.push(`\"activeVersionId\" = $${paramIndex++}`);\n values.push(activeVersionId);\n // Auto-set status to 'published' when activeVersionId is set, consistent with InMemory and LibSQL\n if (status === undefined) {\n setClauses.push(`status = $${paramIndex++}`);\n values.push('published');\n }\n }\n\n if (status !== undefined) {\n setClauses.push(`status = $${paramIndex++}`);\n values.push(status);\n }\n\n if (metadata !== undefined) {\n const mergedMetadata = { ...(existingWorkspace.metadata || {}), ...metadata };\n setClauses.push(`metadata = $${paramIndex++}`);\n values.push(JSON.stringify(mergedMetadata));\n }\n\n // Always update timestamps\n const now = new Date().toISOString();\n setClauses.push(`\"updatedAt\" = $${paramIndex++}`);\n values.push(now);\n setClauses.push(`\"updatedAtZ\" = $${paramIndex++}`);\n values.push(now);\n\n values.push(id);\n\n if (setClauses.length > 2 || versionCreated) {\n // More than just updatedAt and updatedAtZ, or a new version was created\n await this.#db.client.none(\n `UPDATE ${tableName} SET ${setClauses.join(', ')} WHERE id = $${paramIndex}`,\n values,\n );\n }\n\n const updatedWorkspace = await this.#getById(this.#db.client, id);\n if (!updatedWorkspace) {\n throw new MastraError({\n id: createStorageErrorId('PG', 'UPDATE_WORKSPACE', 'NOT_FOUND_AFTER_UPDATE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.SYSTEM,\n text: `Workspace ${id} not found after update`,\n details: { workspaceId: id },\n });\n }\n return updatedWorkspace;\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'UPDATE_WORKSPACE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { workspaceId: id },\n },\n error,\n );\n }\n }\n\n async delete(id: string): Promise {\n try {\n const tableName = getTableName({ indexName: TABLE_WORKSPACES, schemaName: getSchemaName(this.#schema) });\n await this.deleteVersionsByParentId(id);\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE id = $1`, [id]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_WORKSPACE', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { workspaceId: id },\n },\n error,\n );\n }\n }\n\n async list(args?: StorageListWorkspacesInput): Promise {\n const { page = 0, perPage: perPageInput, orderBy, authorId, metadata } = args || {};\n const { field, direction } = this.parseOrderBy(orderBy);\n\n if (page < 0) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_WORKSPACES', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { page },\n },\n new Error('page must be >= 0'),\n );\n }\n\n const perPage = normalizePerPage(perPageInput, 100);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n try {\n const tableName = getTableName({ indexName: TABLE_WORKSPACES, schemaName: getSchemaName(this.#schema) });\n\n // Build WHERE conditions\n const conditions: string[] = [];\n const queryParams: any[] = [];\n let paramIdx = 1;\n\n if (authorId !== undefined) {\n conditions.push(`\"authorId\" = $${paramIdx++}`);\n queryParams.push(authorId);\n }\n\n if (metadata && Object.keys(metadata).length > 0) {\n conditions.push(`metadata @> $${paramIdx++}::jsonb`);\n queryParams.push(JSON.stringify(metadata));\n }\n\n const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';\n\n // Get total count\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} ${whereClause}`,\n queryParams,\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return {\n workspaces: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const limitValue = perPageInput === false ? total : perPage;\n const dataResult = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} ${whereClause} ORDER BY \"${field}\" ${direction} LIMIT $${paramIdx++} OFFSET $${paramIdx++}`,\n [...queryParams, limitValue, offset],\n );\n\n const workspaces = (dataResult || []).flatMap(row => {\n try {\n return [this.parseWorkspaceRow(row)];\n } catch (err) {\n this.logger?.warn?.('[PG] Failed to map workspace row, skipping', { id: row?.id, error: err });\n return [];\n }\n });\n\n return {\n workspaces,\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_WORKSPACES', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n }\n }\n\n // ==========================================================================\n // Workspace Version Methods\n // ==========================================================================\n\n async createVersion(input: CreateWorkspaceVersionInput): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_WORKSPACE_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const now = new Date();\n const nowIso = now.toISOString();\n\n await this.#db.client.none(\n `INSERT INTO ${tableName} (\n id, \"workspaceId\", \"versionNumber\",\n name, description, filesystem, sandbox, mounts, search, skills, tools,\n \"autoSync\", \"operationTimeout\",\n \"changedFields\", \"changeMessage\",\n \"createdAt\", \"createdAtZ\"\n ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16, $17)`,\n [\n input.id,\n input.workspaceId,\n input.versionNumber,\n input.name,\n input.description ?? null,\n input.filesystem ? JSON.stringify(input.filesystem) : null,\n input.sandbox ? JSON.stringify(input.sandbox) : null,\n input.mounts ? JSON.stringify(input.mounts) : null,\n input.search ? JSON.stringify(input.search) : null,\n input.skills ? JSON.stringify(input.skills) : null,\n input.tools ? JSON.stringify(input.tools) : null,\n input.autoSync ?? false,\n input.operationTimeout ?? null,\n input.changedFields ? JSON.stringify(input.changedFields) : null,\n input.changeMessage ?? null,\n nowIso,\n nowIso,\n ],\n );\n\n return {\n ...input,\n createdAt: now,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'CREATE_WORKSPACE_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: input.id, workspaceId: input.workspaceId },\n },\n error,\n );\n }\n }\n\n async getVersion(id: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_WORKSPACE_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(`SELECT * FROM ${tableName} WHERE id = $1`, [id]);\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_WORKSPACE_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: id },\n },\n error,\n );\n }\n }\n\n async getVersionByNumber(workspaceId: string, versionNumber: number): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_WORKSPACE_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"workspaceId\" = $1 AND \"versionNumber\" = $2`,\n [workspaceId, versionNumber],\n );\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_WORKSPACE_VERSION_BY_NUMBER', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { workspaceId, versionNumber },\n },\n error,\n );\n }\n }\n\n async getLatestVersion(workspaceId: string): Promise {\n return this.#getLatestVersion(this.#db.readClient, workspaceId);\n }\n\n /**\n * Same lookup against an explicit client. Mutation paths pass the writer so a\n * lagging read replica cannot yield stale or missing rows mid-update.\n */\n async #getLatestVersion(client: DbClient, workspaceId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_WORKSPACE_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await client.oneOrNone(\n `SELECT * FROM ${tableName} WHERE \"workspaceId\" = $1 ORDER BY \"versionNumber\" DESC LIMIT 1`,\n [workspaceId],\n );\n\n if (!result) {\n return null;\n }\n\n return this.parseVersionRow(result);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'GET_LATEST_WORKSPACE_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { workspaceId },\n },\n error,\n );\n }\n }\n\n async listVersions(input: ListWorkspaceVersionsInput): Promise {\n const { workspaceId, page = 0, perPage: perPageInput, orderBy } = input;\n\n if (page < 0) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_WORKSPACE_VERSIONS', 'INVALID_PAGE'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n details: { page },\n },\n new Error('page must be >= 0'),\n );\n }\n\n const perPage = normalizePerPage(perPageInput, 20);\n const { offset, perPage: perPageForResponse } = calculatePagination(page, perPageInput, perPage);\n\n try {\n const { field, direction } = this.parseVersionOrderBy(orderBy);\n const tableName = getTableName({\n indexName: TABLE_WORKSPACE_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n\n const countResult = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} WHERE \"workspaceId\" = $1`,\n [workspaceId],\n );\n const total = parseInt(countResult.count, 10);\n\n if (total === 0) {\n return {\n versions: [],\n total: 0,\n page,\n perPage: perPageForResponse,\n hasMore: false,\n };\n }\n\n const limitValue = perPageInput === false ? total : perPage;\n const dataResult = await this.#db.readClient.manyOrNone(\n `SELECT * FROM ${tableName} WHERE \"workspaceId\" = $1 ORDER BY \"${field}\" ${direction} LIMIT $2 OFFSET $3`,\n [workspaceId, limitValue, offset],\n );\n\n const versions = (dataResult || []).flatMap(row => {\n try {\n return [this.parseVersionRow(row)];\n } catch (err) {\n this.logger?.warn?.('[PG] Failed to map workspace version row, skipping', { id: row?.id, error: err });\n return [];\n }\n });\n\n return {\n versions,\n total,\n page,\n perPage: perPageForResponse,\n hasMore: perPageInput === false ? false : offset + perPage < total,\n };\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'LIST_WORKSPACE_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { workspaceId },\n },\n error,\n );\n }\n }\n\n async deleteVersion(id: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_WORKSPACE_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE id = $1`, [id]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_WORKSPACE_VERSION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { versionId: id },\n },\n error,\n );\n }\n }\n\n async deleteVersionsByParentId(entityId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_WORKSPACE_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n await this.#db.client.none(`DELETE FROM ${tableName} WHERE \"workspaceId\" = $1`, [entityId]);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'DELETE_WORKSPACE_VERSIONS_BY_WORKSPACE_ID', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { workspaceId: entityId },\n },\n error,\n );\n }\n }\n\n async countVersions(workspaceId: string): Promise {\n try {\n const tableName = getTableName({\n indexName: TABLE_WORKSPACE_VERSIONS,\n schemaName: getSchemaName(this.#schema),\n });\n const result = await this.#db.readClient.one(\n `SELECT COUNT(*) as count FROM ${tableName} WHERE \"workspaceId\" = $1`,\n [workspaceId],\n );\n return parseInt(result.count, 10);\n } catch (error) {\n if (error instanceof MastraError) throw error;\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'COUNT_WORKSPACE_VERSIONS', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n details: { workspaceId },\n },\n error,\n );\n }\n }\n\n // ==========================================================================\n // Private Helper Methods\n // ==========================================================================\n\n private parseWorkspaceRow(row: any): StorageWorkspaceType {\n return {\n id: row.id as string,\n status: row.status as StorageWorkspaceType['status'],\n activeVersionId: row.activeVersionId as string | undefined,\n authorId: row.authorId as string | undefined,\n metadata: parseJsonResilient(row.metadata, 'metadata'),\n createdAt: new Date(row.createdAtZ || row.createdAt),\n updatedAt: new Date(row.updatedAtZ || row.updatedAt),\n };\n }\n\n private parseVersionRow(row: any): WorkspaceVersion {\n return {\n id: row.id as string,\n workspaceId: row.workspaceId as string,\n versionNumber: row.versionNumber as number,\n name: row.name as string,\n description: row.description as string | undefined,\n filesystem: parseJsonResilient(row.filesystem, 'filesystem'),\n sandbox: parseJsonResilient(row.sandbox, 'sandbox'),\n mounts: parseJsonResilient(row.mounts, 'mounts'),\n search: parseJsonResilient(row.search, 'search'),\n skills: parseJsonResilient(row.skills, 'skills'),\n tools: parseJsonResilient(row.tools, 'tools'),\n autoSync: Boolean(row.autoSync),\n operationTimeout: row.operationTimeout != null ? Number(row.operationTimeout) : undefined,\n changedFields: parseJsonResilient(row.changedFields, 'changedFields'),\n changeMessage: row.changeMessage as string | undefined,\n createdAt: new Date(row.createdAtZ || row.createdAt),\n };\n }\n}\n","import { randomUUID } from 'node:crypto';\n\nimport { FactoryStorage, UniqueViolationError } from '@mastra/core/storage';\nimport type {\n CollectionColumnSpec,\n CollectionListOptions,\n CollectionSchema,\n CollectionValue,\n CollectionWhere,\n FactoryAuthDatabase,\n FactoryStorageOps,\n MastraCompositeStore,\n RetentionConfig,\n} from '@mastra/core/storage';\nimport pg from 'pg';\nimport type { Pool, PoolClient } from 'pg';\n\nimport { PostgresStore } from './index';\n\nexport type PgFactoryStorageConfig =\n | {\n connectionString: string;\n /** Identifier for the wrapped agent-state store. @default 'pg-factory' */\n id?: string;\n /** Retention config forwarded to the wrapped {@link PostgresStore}. */\n retention?: RetentionConfig;\n }\n | {\n /** Wrap an existing store; its pool is shared for app-table ops. */\n store: PostgresStore;\n };\n\nconst IDENTIFIER_RE = /^[A-Za-z_][A-Za-z0-9_]*$/;\nconst PG_UNIQUE_VIOLATION = '23505';\n\nconst COLUMN_DDL: Record = {\n text: 'TEXT',\n bigint: 'BIGINT',\n integer: 'INTEGER',\n boolean: 'BOOLEAN',\n json: 'JSONB',\n timestamp: 'TIMESTAMPTZ',\n 'uuid-pk': 'UUID',\n};\n\nfunction assertIdentifier(kind: string, name: string): void {\n if (!IDENTIFIER_RE.test(name)) {\n throw new Error(`PgFactoryStorage: invalid ${kind} identifier '${name}'`);\n }\n}\n\nfunction isUniqueViolation(error: unknown): boolean {\n return typeof error === 'object' && error !== null && (error as { code?: string }).code === PG_UNIQUE_VIOLATION;\n}\n\nfunction primaryKeyOf(schema: CollectionSchema): string {\n const pks = Object.entries(schema.columns).filter(([, spec]) => spec.type === 'uuid-pk' || spec.primaryKey);\n if (pks.length !== 1) {\n throw new Error(\n `PgFactoryStorage: collection '${schema.name}' must declare exactly one primary key (found ${pks.length})`,\n );\n }\n return pks[0]![0];\n}\n\nfunction assertUpsertConflict(schema: CollectionSchema, conflictKeys: string[], row: Record): void {\n const keys = new Set(conflictKeys);\n if (keys.size !== conflictKeys.length || conflictKeys.some(key => row[key] === undefined)) {\n throw new Error(\n `PgFactoryStorage: upsert conflict keys for '${schema.name}' must be unique and present in the row`,\n );\n }\n\n const primaryKey = primaryKeyOf(schema);\n const candidates = [{ columns: [primaryKey] }, ...(schema.uniqueIndexes ?? [])];\n const matches = candidates.some(candidate => {\n if (candidate.columns.length !== keys.size || candidate.columns.some(column => !keys.has(column))) return false;\n if ('whereNotNull' in candidate && candidate.whereNotNull && row[candidate.whereNotNull] == null) return false;\n if ('whereNull' in candidate && candidate.whereNull && row[candidate.whereNull] != null) return false;\n return true;\n });\n if (!matches) {\n throw new Error(\n `PgFactoryStorage: upsert conflict keys [${conflictKeys.join(', ')}] do not match an applicable primary key or unique index on '${schema.name}'`,\n );\n }\n}\n\nfunction serializeDefault(value: string | number | boolean): string {\n if (typeof value === 'string') return `'${value.replace(/'/g, \"''\")}'`;\n return String(value);\n}\n\ntype Queryable = Pick | Pick;\n\nclass PgFactoryStorageOps implements FactoryStorageOps {\n readonly #queryable: Queryable;\n readonly #transactionClient?: PoolClient;\n readonly #schemas: Map;\n\n constructor(queryable: Queryable, schemas: Map, transactionClient?: PoolClient) {\n this.#queryable = queryable;\n this.#transactionClient = transactionClient;\n this.#schemas = schemas;\n }\n\n #schema(collection: string): CollectionSchema {\n const schema = this.#schemas.get(collection);\n if (!schema) {\n throw new Error(\n `PgFactoryStorage: unknown collection '${collection}' — register it via ensureCollections() first`,\n );\n }\n return schema;\n }\n\n #column(schema: CollectionSchema, column: string): CollectionColumnSpec {\n const spec = schema.columns[column];\n if (!spec) {\n throw new Error(`PgFactoryStorage: unknown column '${column}' on collection '${schema.name}'`);\n }\n return spec;\n }\n\n #serialize(spec: CollectionColumnSpec, value: unknown): unknown {\n if (value === null || value === undefined) return null;\n switch (spec.type) {\n case 'timestamp':\n return value instanceof Date ? value : new Date(String(value));\n case 'boolean':\n return Boolean(value);\n case 'json':\n // Explicit stringify: node-pg would otherwise turn JS arrays into pg arrays.\n return JSON.stringify(value);\n case 'bigint':\n case 'integer':\n return Number(value);\n default:\n return String(value);\n }\n }\n\n #deserializeRow>(schema: CollectionSchema, raw: Record): T {\n const row: Record = {};\n for (const [name, spec] of Object.entries(schema.columns)) {\n const value = raw[name];\n if (value === null || value === undefined) {\n row[name] = null;\n continue;\n }\n switch (spec.type) {\n case 'timestamp':\n row[name] = value instanceof Date ? value : new Date(String(value));\n break;\n case 'boolean':\n row[name] = Boolean(value);\n break;\n case 'json':\n // node-pg parses JSONB through its type parsers, so `value` is\n // already the stored JSON value. Parsing again would throw on a JSON\n // string scalar (the whole column reads back as a JS string).\n row[name] = value;\n break;\n case 'bigint':\n case 'integer':\n row[name] = Number(value); // node-pg returns BIGINT as string\n break;\n default:\n row[name] = String(value);\n }\n }\n return row as T;\n }\n\n /** Builds `WHERE` SQL (without the keyword). `{}` yields a match-all clause. */\n #buildWhere(\n schema: CollectionSchema,\n where: CollectionWhere,\n startIndex = 1,\n ): { sql: string; args: unknown[]; nextIndex: number } {\n const clauses: string[] = [];\n const args: unknown[] = [];\n let index = startIndex;\n for (const [column, condition] of Object.entries(where)) {\n const spec = this.#column(schema, column);\n if (condition !== null && typeof condition === 'object' && !(condition instanceof Date) && 'in' in condition) {\n if (condition.in.length === 0) {\n clauses.push('FALSE');\n continue;\n }\n const nonNull = condition.in.filter(value => value !== null);\n const includesNull = nonNull.length !== condition.in.length;\n const inClause =\n nonNull.length > 0 ? `\"${column}\" IN (${nonNull.map(() => `$${index++}`).join(', ')})` : undefined;\n clauses.push(\n inClause && includesNull ? `(${inClause} OR \"${column}\" IS NULL)` : (inClause ?? `\"${column}\" IS NULL`),\n );\n args.push(...nonNull.map(value => this.#serialize(spec, value)));\n } else if (condition === null) {\n clauses.push(`\"${column}\" IS NULL`);\n } else {\n clauses.push(`\"${column}\" = $${index++}`);\n args.push(this.#serialize(spec, condition));\n }\n }\n return { sql: clauses.length > 0 ? clauses.join(' AND ') : 'TRUE', args, nextIndex: index };\n }\n\n /** Keyset condition: rows strictly after `cursor.values` in the `orderBy` order. */\n #buildCursor(\n schema: CollectionSchema,\n orderBy: NonNullable,\n values: CollectionValue[],\n startIndex: number,\n ): { sql: string; args: unknown[]; nextIndex: number } {\n if (values.length !== orderBy.length) {\n throw new Error(`PgFactoryStorage: cursor has ${values.length} values but orderBy has ${orderBy.length} columns`);\n }\n const branches: string[] = [];\n const args: unknown[] = [];\n let index = startIndex;\n for (let i = 0; i < orderBy.length; i++) {\n const parts: string[] = [];\n for (let j = 0; j < i; j++) {\n const [column] = orderBy[j]!;\n parts.push(`\"${column}\" = $${index++}`);\n args.push(this.#serialize(this.#column(schema, column), values[j]));\n }\n const [column, dir] = orderBy[i]!;\n parts.push(`\"${column}\" ${dir === 'desc' ? '<' : '>'} $${index++}`);\n args.push(this.#serialize(this.#column(schema, column), values[i]));\n branches.push(`(${parts.join(' AND ')})`);\n }\n return { sql: `(${branches.join(' OR ')})`, args, nextIndex: index };\n }\n\n #buildSelect(\n schema: CollectionSchema,\n where: CollectionWhere,\n opts?: CollectionListOptions,\n forUpdate = false,\n ): { sql: string; args: unknown[] } {\n const filter = this.#buildWhere(schema, where);\n let sql = `SELECT * FROM \"${schema.name}\" WHERE ${filter.sql}`;\n const args = [...filter.args];\n let index = filter.nextIndex;\n\n if (opts?.cursor) {\n if (!opts.orderBy || opts.orderBy.length === 0) {\n throw new Error('PgFactoryStorage: cursor pagination requires orderBy');\n }\n const cursor = this.#buildCursor(schema, opts.orderBy, opts.cursor.values, index);\n sql += ` AND ${cursor.sql}`;\n args.push(...cursor.args);\n index = cursor.nextIndex;\n }\n if (opts?.orderBy && opts.orderBy.length > 0) {\n const order = opts.orderBy\n .map(([column, dir]) => {\n this.#column(schema, column);\n return `\"${column}\" ${dir === 'desc' ? 'DESC' : 'ASC'}`;\n })\n .join(', ');\n sql += ` ORDER BY ${order}`;\n }\n if (opts?.limit !== undefined) {\n sql += ` LIMIT $${index++}`;\n args.push(opts.limit);\n }\n if (forUpdate) sql += ' FOR UPDATE';\n return { sql, args };\n }\n\n async #select>(\n queryable: Queryable,\n collection: string,\n where: CollectionWhere,\n opts?: CollectionListOptions,\n forUpdate = false,\n ): Promise {\n const schema = this.#schema(collection);\n const { sql, args } = this.#buildSelect(schema, where, opts, forUpdate);\n const result = await queryable.query(sql, args);\n return result.rows.map((raw: Record) => this.#deserializeRow(schema, raw));\n }\n\n async findOne>(collection: string, where: CollectionWhere): Promise {\n const rows = await this.#select(this.#queryable, collection, where, { limit: 1 });\n return rows[0] ?? null;\n }\n\n async findMany>(\n collection: string,\n where: CollectionWhere,\n opts?: CollectionListOptions,\n ): Promise {\n return this.#select(this.#queryable, collection, where, opts);\n }\n\n async count(collection: string, where: CollectionWhere): Promise {\n const schema = this.#schema(collection);\n const filter = this.#buildWhere(schema, where);\n const result = await this.#queryable.query(\n `SELECT COUNT(*) AS count FROM \"${schema.name}\" WHERE ${filter.sql}`,\n filter.args,\n );\n return Number(result.rows[0]?.count ?? 0);\n }\n\n async insertOne>(collection: string, row: Partial): Promise {\n const schema = this.#schema(collection);\n const pk = primaryKeyOf(schema);\n\n const values: Record = { ...row };\n if (schema.columns[pk]!.type === 'uuid-pk' && values[pk] === undefined) {\n values[pk] = randomUUID();\n }\n\n const columns = Object.keys(values).filter(column => values[column] !== undefined);\n for (const column of columns) this.#column(schema, column);\n\n const sql = `INSERT INTO \"${schema.name}\" (${columns.map(c => `\"${c}\"`).join(', ')}) VALUES (${columns\n .map((_, i) => `$${i + 1}`)\n .join(', ')}) RETURNING *`;\n const args = columns.map(column => this.#serialize(this.#column(schema, column), values[column]));\n\n try {\n const result = await this.#queryable.query(sql, args);\n return this.#deserializeRow(schema, result.rows[0] as Record);\n } catch (error) {\n if (isUniqueViolation(error)) throw new UniqueViolationError(collection, { cause: error });\n throw error;\n }\n }\n\n async upsertOne>(\n collection: string,\n conflictKeys: string[],\n row: Partial,\n ): Promise {\n const schema = this.#schema(collection);\n const pk = primaryKeyOf(schema);\n assertUpsertConflict(schema, conflictKeys, row);\n const keyWhere = Object.fromEntries(conflictKeys.map(key => [key, row[key] as CollectionValue])) as CollectionWhere;\n\n let lastError: unknown;\n for (let attempt = 0; attempt < 2; attempt++) {\n const existing = await this.findOne(collection, keyWhere);\n if (existing) {\n const set = Object.fromEntries(\n Object.entries(row).filter(\n ([column, value]) => value !== undefined && column !== pk && !conflictKeys.includes(column),\n ),\n );\n if (Object.keys(set).length > 0) {\n await this.updateMany(collection, { [pk]: existing[pk] as CollectionValue }, set);\n }\n const updated = await this.findOne(collection, { [pk]: existing[pk] as CollectionValue });\n if (!updated) continue; // deleted concurrently; retry\n return updated;\n }\n try {\n return await this.insertOne(collection, row);\n } catch (error) {\n if (!(error instanceof UniqueViolationError)) throw error;\n lastError = error; // lost an insert race; retry as update\n }\n }\n throw lastError ?? new Error(`PgFactoryStorage: upsert into '${collection}' did not converge`);\n }\n\n async updateMany(collection: string, where: CollectionWhere, set: Record): Promise {\n return this.#updateMany(this.#queryable, collection, where, set);\n }\n\n async #updateMany(\n queryable: Queryable,\n collection: string,\n where: CollectionWhere,\n set: Record,\n ): Promise {\n const schema = this.#schema(collection);\n const columns = Object.keys(set).filter(column => set[column] !== undefined);\n if (columns.length === 0) return 0;\n const assignments = columns.map((column, i) => `\"${column}\" = $${i + 1}`).join(', ');\n const filter = this.#buildWhere(schema, where, columns.length + 1);\n const args = [...columns.map(column => this.#serialize(this.#column(schema, column), set[column])), ...filter.args];\n const result = await queryable.query(`UPDATE \"${schema.name}\" SET ${assignments} WHERE ${filter.sql}`, args);\n return result.rowCount ?? 0;\n }\n\n async deleteMany(collection: string, where: CollectionWhere): Promise {\n const schema = this.#schema(collection);\n const filter = this.#buildWhere(schema, where);\n const result = await this.#queryable.query(`DELETE FROM \"${schema.name}\" WHERE ${filter.sql}`, filter.args);\n return result.rowCount ?? 0;\n }\n\n async updateAtomic>(\n collection: string,\n where: CollectionWhere,\n fn: (row: T) => Partial | null | Promise | null>,\n ): Promise {\n const run = async (client: PoolClient): Promise => {\n const schema = this.#schema(collection);\n const pk = primaryKeyOf(schema);\n const rows = await this.#select(client, collection, where, { limit: 1 }, true);\n const row = rows[0];\n if (!row) return null;\n const patch = await fn(row);\n if (patch === null) return row;\n const pkWhere = { [pk]: row[pk] as CollectionValue } as CollectionWhere;\n await this.#updateMany(client, collection, pkWhere, patch);\n const updated = await this.#select(client, collection, pkWhere, { limit: 1 });\n return updated[0] ?? null;\n };\n\n if (this.#transactionClient) return run(this.#transactionClient);\n\n const pool = this.#queryable as Pool;\n const client = await pool.connect();\n try {\n await client.query('BEGIN');\n try {\n const result = await run(client);\n await client.query('COMMIT');\n return result;\n } catch (error) {\n await client.query('ROLLBACK');\n throw error;\n }\n } finally {\n client.release();\n }\n }\n}\n\n/**\n * PostgreSQL {@link FactoryStorage} backend: one database powering agent state\n * (via a wrapped {@link PostgresStore}) and app-owned collections (via\n * {@link FactoryStorageOps}), sharing a single pool.\n *\n * Supports serializable app-table transactions for cross-replica invariant\n * enforcement and `authDatabase()` exposing the shared pool.\n */\n/**\n * A pool-level `error` listener only covers *idle* clients: pg hands ownership\n * of a client to the borrower for the duration of a checkout and takes its own\n * listener off. So a backend restart or network blip that lands on a client\n * mid-transaction reaches an emitter with no listener, and Node escalates that\n * to an uncaughtException that kills the process — the pool handler logs the\n * idle siblings and the borrowed one still brings everything down.\n *\n * Attach a listener once per physical connection instead. `connect` fires when\n * the pool establishes a client, so the client stays covered for its whole life\n * and there is nothing to remove on release.\n *\n * That listener outlives the checkout, so it also sees the failures the pool is\n * already reporting through its own idle listener. Follow `acquire`/`release`\n * to tell the two apart and stay quiet while the client is idle — otherwise one\n * dropped connection is announced twice, the second time as the wrong thing.\n *\n * The pool still discards the failed connection; this only keeps the failure\n * reportable instead of fatal.\n */\nexport function guardCheckedOutClientErrors(pool: Pool, warn = console.warn): void {\n // pg emits 'connect' from inside the acquire path, so a client is borrowed\n // from the moment it exists.\n const borrowed = new WeakSet();\n\n pool.on('connect', client => {\n borrowed.add(client);\n client.on('error', err => {\n if (!borrowed.has(client)) return; // idle: the pool's own listener reports this one\n warn(\n `PgFactoryStorage: client error while checked out (the pool discards this connection): ${err instanceof Error ? err.message : String(err)}`,\n );\n });\n });\n pool.on('acquire', client => borrowed.add(client));\n pool.on('release', (_err, client) => borrowed.delete(client));\n}\n\nexport class PgFactoryStorage extends FactoryStorage {\n readonly ops: FactoryStorageOps;\n\n readonly #pool: Pool;\n readonly #ownsPool: boolean;\n readonly #config: PgFactoryStorageConfig;\n readonly #schemas = new Map();\n #mastraStorage?: PostgresStore;\n\n constructor(config: PgFactoryStorageConfig) {\n super();\n this.#config = config;\n if ('store' in config) {\n this.#pool = config.store.pool;\n this.#ownsPool = false;\n this.#mastraStorage = config.store;\n } else {\n this.#pool = new pg.Pool({ connectionString: config.connectionString });\n this.#ownsPool = true;\n // pg emits 'error' on the pool when an idle client's connection drops\n // (backend restart, network partition, local address changes). Without a\n // listener Node escalates the event to an uncaughtException and crashes\n // the process. Only pools this storage creates get the listener — a\n // wrapped store keeps its own listeners, mirroring close().\n this.#pool.on('error', err => {\n console.warn(\n `PgFactoryStorage: idle pool client error (pool discards the client and reconnects on next checkout): ${err instanceof Error ? err.message : String(err)}`,\n );\n });\n guardCheckedOutClientErrors(this.#pool);\n }\n this.ops = new PgFactoryStorageOps(this.#pool, this.#schemas);\n }\n\n getMastraStorage(): MastraCompositeStore {\n if (!this.#mastraStorage) {\n const config = this.#config as Extract;\n this.#mastraStorage = new PostgresStore({\n id: config.id ?? 'pg-factory',\n pool: this.#pool,\n ...(config.retention ? { retention: config.retention } : {}),\n });\n }\n return this.#mastraStorage;\n }\n\n protected async initStorage(): Promise {\n await this.#pool.query('SELECT 1');\n }\n\n async withTransaction(\n fn: (ops: FactoryStorageOps) => Promise,\n options?: { isolationLevel?: 'serializable' },\n ): Promise {\n const maxAttempts = options?.isolationLevel === 'serializable' ? 3 : 1;\n for (let attempt = 1; attempt <= maxAttempts; attempt++) {\n const client = await this.#pool.connect();\n let transactionOpen = false;\n let releaseError: Error | undefined;\n try {\n await client.query(options?.isolationLevel === 'serializable' ? 'BEGIN ISOLATION LEVEL SERIALIZABLE' : 'BEGIN');\n transactionOpen = true;\n const result = await fn(new PgFactoryStorageOps(client, this.#schemas, client));\n await client.query('COMMIT');\n transactionOpen = false;\n return result;\n } catch (error) {\n if (transactionOpen) {\n try {\n await client.query('ROLLBACK');\n transactionOpen = false;\n } catch (rollbackError) {\n releaseError = rollbackError instanceof Error ? rollbackError : new Error(String(rollbackError));\n throw new AggregateError([error, rollbackError], 'Factory transaction and rollback both failed');\n }\n }\n const serializationFailure =\n typeof error === 'object' && error !== null && (error as { code?: string }).code === '40001';\n if (!serializationFailure || attempt === maxAttempts) throw error;\n } finally {\n client.release(releaseError);\n }\n }\n throw new Error('PgFactoryStorage: serializable transaction retry limit exceeded');\n }\n\n async ensureCollections(schemas: CollectionSchema[]): Promise {\n for (const schema of schemas) {\n await this.#ensureCollection(schema);\n this.#schemas.set(schema.name, schema);\n }\n }\n\n async close(): Promise {\n if (this.#ownsPool) {\n await this.#pool.end();\n } else {\n await this.#mastraStorage?.close();\n }\n }\n\n authDatabase(): FactoryAuthDatabase {\n return { dialect: 'postgres', pool: this.#pool };\n }\n\n #columnDdl(name: string, spec: CollectionColumnSpec): string {\n assertIdentifier('column', name);\n let ddl = `\"${name}\" ${COLUMN_DDL[spec.type]}`;\n if (spec.type === 'uuid-pk' || spec.primaryKey) ddl += ' PRIMARY KEY';\n if (!spec.nullable && spec.type !== 'uuid-pk' && !spec.primaryKey) ddl += ' NOT NULL';\n if (spec.default !== undefined) ddl += ` DEFAULT ${serializeDefault(spec.default)}`;\n return ddl;\n }\n\n async #ensureCollection(schema: CollectionSchema): Promise {\n assertIdentifier('collection', schema.name);\n primaryKeyOf(schema); // validates exactly one pk\n\n const columns = Object.entries(schema.columns).map(([name, spec]) => this.#columnDdl(name, spec));\n await this.#pool.query(`CREATE TABLE IF NOT EXISTS \"${schema.name}\" (${columns.join(', ')})`);\n\n // Additive evolution: add any columns missing from an existing table.\n for (const [name, spec] of Object.entries(schema.columns)) {\n await this.#pool.query(`ALTER TABLE \"${schema.name}\" ADD COLUMN IF NOT EXISTS ${this.#columnDdl(name, spec)}`);\n }\n\n // Relaxing evolution: a table created by an older schema may still say\n // NOT NULL on a column that is now declared nullable — drop the stale\n // constraint so inserts of null don't fail on pre-existing databases.\n for (const [name, spec] of Object.entries(schema.columns)) {\n if (!spec.nullable || spec.type === 'uuid-pk' || spec.primaryKey) continue;\n await this.#pool.query(`ALTER TABLE \"${schema.name}\" ALTER COLUMN \"${name}\" DROP NOT NULL`);\n }\n\n // Widening evolution: a column now declared bigint may still be the\n // INTEGER an older schema created, which epoch-ms values overflow.\n for (const [name, spec] of Object.entries(schema.columns)) {\n if (spec.type !== 'bigint') continue;\n const { rows } = await this.#pool.query<{ data_type: string }>(\n `SELECT data_type FROM information_schema.columns WHERE table_schema = current_schema() AND table_name = $1 AND column_name = $2`,\n [schema.name, name],\n );\n if (rows[0]?.data_type === 'integer') {\n await this.#pool.query(`ALTER TABLE \"${schema.name}\" ALTER COLUMN \"${name}\" TYPE BIGINT`);\n }\n }\n\n for (const index of schema.uniqueIndexes ?? []) {\n assertIdentifier('index', index.name);\n index.columns.forEach(column => assertIdentifier('column', column));\n let where = '';\n if (index.whereNotNull) {\n assertIdentifier('column', index.whereNotNull);\n where = ` WHERE \"${index.whereNotNull}\" IS NOT NULL`;\n } else if (index.whereNull) {\n assertIdentifier('column', index.whereNull);\n where = ` WHERE \"${index.whereNull}\" IS NULL`;\n }\n await this.#pool.query(\n `CREATE UNIQUE INDEX IF NOT EXISTS \"${index.name}\" ON \"${schema.name}\" (${index.columns\n .map(c => `\"${c}\"`)\n .join(', ')})${where}`,\n );\n }\n for (const index of schema.indexes ?? []) {\n assertIdentifier('index', index.name);\n index.columns.forEach(column => assertIdentifier('column', column));\n await this.#pool.query(\n `CREATE INDEX IF NOT EXISTS \"${index.name}\" ON \"${schema.name}\" (${index.columns\n .map(c => `\"${c}\"`)\n .join(', ')})`,\n );\n }\n }\n}\n","import type { ConnectionOptions } from 'node:tls';\nimport { ErrorCategory, ErrorDomain, MastraError } from '@mastra/core/error';\nimport { createStorageErrorId, MastraCompositeStore } from '@mastra/core/storage';\nimport type { StorageDomains } from '@mastra/core/storage';\nimport { parseSqlIdentifier } from '@mastra/core/utils';\nimport { Pool } from 'pg';\nimport {\n validateConfig,\n isCloudSqlConfig,\n isConnectionStringConfig,\n isHostConfig,\n isPoolConfig,\n isWritePoolConfig,\n} from '../shared/config';\nimport type { PostgresStoreConfig } from '../shared/config';\nimport { buildConnectionStringPoolConfig } from '../shared/pool-config';\nimport { PinnedClientAdapter, PoolAdapter, RoutingDbClient } from './client';\nimport type { DbClient, PoolClient } from './client';\nimport type { PgDomainClientConfig } from './db';\nimport { getSchemaName } from './db';\nimport { loadSchemaSnapshot } from './db/schema-snapshot';\nimport { AgentsPG } from './domains/agents';\nimport { BackgroundTasksPG } from './domains/background-tasks';\nimport { BlobsPG } from './domains/blobs';\nimport { ChannelsPG } from './domains/channels';\nimport { DatasetsPG } from './domains/datasets';\nimport { ExperimentsPG } from './domains/experiments';\nimport { FavoritesPG } from './domains/favorites';\nimport { KnowledgePG } from './domains/knowledge';\nimport { MCPClientsPG } from './domains/mcp-clients';\nimport { MCPServersPG } from './domains/mcp-servers';\nimport { MemoryPG } from './domains/memory';\nimport { NotificationsPG } from './domains/notifications';\nimport { ObservabilityPG } from './domains/observability';\nimport { ObservabilityStoragePostgresVNext } from './domains/observability/v-next';\nimport type { VNextPostgresObservabilityConfig } from './domains/observability/v-next';\nimport { PromptBlocksPG } from './domains/prompt-blocks';\nimport { SchedulesPG } from './domains/schedules';\nimport { ScorerDefinitionsPG } from './domains/scorer-definitions';\nimport { ScoresPG } from './domains/scores';\nimport { SkillsPG } from './domains/skills';\nimport { ThreadStatePG } from './domains/thread-state';\nimport { ToolProviderConnectionsPG } from './domains/tool-provider-connections';\nimport { WorkflowDefinitionsPG } from './domains/workflow-definitions';\nimport { WorkflowsPG } from './domains/workflows';\nimport { WorkspacesPG } from './domains/workspaces';\n\n/** Default maximum number of connections in the pool */\nconst DEFAULT_MAX_CONNECTIONS = 20;\n/** Default idle timeout in milliseconds */\nconst DEFAULT_IDLE_TIMEOUT_MS = 30000;\n\ntype ConnectionStringPoolConfig = {\n connectionString: string;\n ssl?: ConnectionOptions | boolean;\n max?: number;\n idleTimeoutMillis?: number;\n};\n\ntype HostPoolConfig = {\n host: string;\n port?: number;\n database: string;\n user: string;\n password: string;\n ssl?: ConnectionOptions | boolean;\n max?: number;\n idleTimeoutMillis?: number;\n};\n\nfunction createConnectionStringPool(config: ConnectionStringPoolConfig): Pool {\n return new Pool(\n buildConnectionStringPoolConfig(config, {\n max: DEFAULT_MAX_CONNECTIONS,\n idleTimeoutMillis: DEFAULT_IDLE_TIMEOUT_MS,\n }),\n );\n}\n\nfunction createHostPool(config: HostPoolConfig): Pool {\n return new Pool({\n host: config.host,\n port: config.port,\n database: config.database,\n user: config.user,\n password: config.password,\n ssl: config.ssl,\n max: config.max ?? DEFAULT_MAX_CONNECTIONS,\n idleTimeoutMillis: config.idleTimeoutMillis ?? DEFAULT_IDLE_TIMEOUT_MS,\n });\n}\n\n/**\n * All storage domain classes, in order. Each provides a static getExportDDL method\n * that returns the complete DDL (tables, constraints, indexes, triggers) for that domain.\n */\nconst ALL_DOMAINS = [\n MemoryPG,\n KnowledgePG,\n NotificationsPG,\n ObservabilityPG,\n ScoresPG,\n ScorerDefinitionsPG,\n PromptBlocksPG,\n AgentsPG,\n MCPClientsPG,\n MCPServersPG,\n WorkspacesPG,\n SkillsPG,\n BlobsPG,\n ToolProviderConnectionsPG,\n WorkflowsPG,\n WorkflowDefinitionsPG,\n DatasetsPG,\n ExperimentsPG,\n BackgroundTasksPG,\n FavoritesPG,\n ChannelsPG,\n SchedulesPG,\n ThreadStatePG,\n] as const;\n\n/**\n * Exports the Mastra database schema as SQL DDL statements, including tables, indexes, and triggers.\n * Does not require a database connection. Each domain class provides its own DDL contribution\n * via a static getExportDDL method, ensuring a single source of truth.\n */\nexport function exportSchemas(schemaName?: string): string {\n const statements: string[] = [];\n\n if (schemaName) {\n const quotedSchemaName = getSchemaName(schemaName);\n statements.push(`CREATE SCHEMA IF NOT EXISTS ${quotedSchemaName};`);\n statements.push('');\n }\n\n for (const Domain of ALL_DOMAINS) {\n statements.push(...Domain.getExportDDL(schemaName));\n }\n\n return statements.join('\\n');\n}\n// Export domain classes for direct use with MastraStorage composition\nexport {\n AgentsPG,\n BackgroundTasksPG,\n BlobsPG,\n ChannelsPG,\n DatasetsPG,\n ExperimentsPG,\n KnowledgePG,\n MCPClientsPG,\n MCPServersPG,\n MemoryPG,\n NotificationsPG,\n ObservabilityPG,\n ObservabilityStoragePostgresVNext,\n PromptBlocksPG,\n ScorerDefinitionsPG,\n ScoresPG,\n SchedulesPG,\n SkillsPG,\n FavoritesPG,\n ThreadStatePG,\n ToolProviderConnectionsPG,\n WorkflowsPG,\n WorkflowDefinitionsPG,\n WorkspacesPG,\n};\nexport type { VNextPostgresObservabilityConfig };\nexport { PoolAdapter } from './client';\nexport type { DbClient, TxClient, QueryValues, Pool, PoolClient, QueryResult } from './client';\nexport type { PgDomainConfig, PgDomainClientConfig, PgDomainPoolConfig, PgDomainRestConfig } from './db';\nexport { PgFactoryStorage, type PgFactoryStorageConfig } from './factory-storage';\n\n/**\n * PostgreSQL storage adapter for Mastra.\n *\n * @example\n * ```typescript\n * // Option 1: Connection string\n * const store = new PostgresStore({\n * id: 'my-store',\n * connectionString: 'postgresql://...',\n * });\n *\n * // Option 2: Pre-configured pool\n * const pool = new Pool({ connectionString: 'postgresql://...' });\n * const store = new PostgresStore({ id: 'my-store', pool });\n *\n * // Access domain storage\n * const memory = await store.getStore('memory');\n * await memory?.saveThread({ thread });\n *\n * // Execute custom queries\n * const rows = await store.db.any('SELECT * FROM my_table');\n * ```\n */\nexport class PostgresStore extends MastraCompositeStore {\n #writePool: Pool;\n #readPool: Pool;\n // Narrowed to RoutingDbClient so init()'s pin/unpin path is type-checked.\n // The public `db` getter still exposes it as DbClient.\n #db: RoutingDbClient;\n #readDb: DbClient;\n #ownsWritePool: boolean;\n #writePoolClosed: boolean = false;\n private schema: string;\n private isInitialized: boolean = false;\n // Caches the in-flight init() so concurrent callers share one initialization\n // instead of each acquiring + pinning a client. See init() / issue #18282.\n #initPromise: Promise | null = null;\n\n stores: StorageDomains;\n\n constructor(config: PostgresStoreConfig) {\n try {\n validateConfig('PostgresStore', config);\n super({ id: config.id, name: 'PostgresStore', disableInit: config.disableInit, retention: config.retention });\n // Validate schema name to prevent SQL injection\n this.schema = parseSqlIdentifier(config.schemaName || 'public', 'schema name');\n\n if (isPoolConfig(config)) {\n this.#writePool = config.pool;\n this.#ownsWritePool = false;\n } else if (isWritePoolConfig(config)) {\n this.#writePool = config.writePool;\n this.#ownsWritePool = false;\n } else {\n this.#writePool = this.createPool(config);\n this.#ownsWritePool = true;\n }\n this.#readPool = config.readPool ?? this.#writePool;\n\n // Wrap the writer adapter in a routing client so init() can temporarily\n // pin all DDL traffic to a single PoolClient. See PostgresStore.init().\n this.#db = new RoutingDbClient(new PoolAdapter(this.#writePool));\n this.#readDb = this.#readPool === this.#writePool ? this.#db : new PoolAdapter(this.#readPool);\n\n const domainConfig: PgDomainClientConfig = {\n client: this.#db,\n readClient: this.#readDb,\n schemaName: this.schema,\n skipDefaultIndexes: config.skipDefaultIndexes,\n indexes: config.indexes,\n };\n\n this.stores = {\n scores: new ScoresPG(domainConfig),\n workflows: new WorkflowsPG(domainConfig),\n workflowDefinitions: new WorkflowDefinitionsPG(domainConfig),\n memory: new MemoryPG(domainConfig),\n knowledge: new KnowledgePG(domainConfig),\n notifications: new NotificationsPG(domainConfig),\n observability: new ObservabilityPG(domainConfig),\n agents: new AgentsPG(domainConfig),\n promptBlocks: new PromptBlocksPG(domainConfig),\n scorerDefinitions: new ScorerDefinitionsPG(domainConfig),\n mcpClients: new MCPClientsPG(domainConfig),\n mcpServers: new MCPServersPG(domainConfig),\n workspaces: new WorkspacesPG(domainConfig),\n skills: new SkillsPG(domainConfig),\n favorites: new FavoritesPG(domainConfig),\n toolProviderConnections: new ToolProviderConnectionsPG(domainConfig),\n blobs: new BlobsPG(domainConfig),\n datasets: new DatasetsPG(domainConfig),\n experiments: new ExperimentsPG(domainConfig),\n backgroundTasks: new BackgroundTasksPG(domainConfig),\n channels: new ChannelsPG(domainConfig),\n schedules: new SchedulesPG(domainConfig),\n threadState: new ThreadStatePG(domainConfig),\n };\n } catch (e) {\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'INITIALIZATION', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.USER,\n },\n e,\n );\n }\n }\n\n private createPool(config: PostgresStoreConfig): Pool {\n const pool = this.#buildPool(config);\n\n // pg emits 'error' on the pool when an idle client's connection drops\n // (backend restart, network partition, cloud proxies reaping idle\n // sockets). Without a listener Node escalates the event to an\n // uncaughtException and crashes the process. Only pools this store\n // creates get the listener — a user-provided pool keeps the user's own\n // listeners, mirroring close().\n pool.on('error', err => {\n this.logger?.warn?.(\n 'PostgresStore: idle pool client error (pool discards the client and reconnects on next checkout)',\n {\n err: err instanceof Error ? err.message : err,\n },\n );\n });\n\n return pool;\n }\n\n #buildPool(config: PostgresStoreConfig): Pool {\n if (isConnectionStringConfig(config)) {\n return createConnectionStringPool(config);\n }\n\n if (isHostConfig(config)) {\n return createHostPool(config);\n }\n\n if (isCloudSqlConfig(config)) {\n return new Pool(config as any);\n }\n\n throw new Error('PostgresStore: invalid config');\n }\n\n async init(): Promise {\n // Skip the pinned-init path entirely when initialization is disabled. The\n // caller manages schema/migrations externally, so init() must not connect,\n // pin, or run DDL. This also keeps the call-site contract in @mastra/core\n // (which calls storage.init() directly and assumes it is \"a no-op when\n // disabled\") true for Postgres. See issue #18282.\n if (this.disableInit || process.env.MASTRA_DISABLE_STORAGE_INIT === 'true') {\n return;\n }\n\n if (this.isInitialized) {\n return;\n }\n\n // Coalesce concurrent init() calls into a single in-flight promise. A\n // PostgresStore shared across request-scoped Mastra instances can have\n // init() invoked from several callers at once; without this guard both\n // race past the `isInitialized` check and pin the RoutingDbClient twice,\n // throwing \"RoutingDbClient already has a pinned client\" (issue #18282).\n this.#initPromise ??= this.#runPinnedInit();\n await this.#initPromise;\n }\n\n async #runPinnedInit(): Promise {\n // Acquire a single backend connection and pin every domain's DDL to it\n // for the duration of init(). This avoids:\n // - per-statement pool.connect() RTT on remote/managed Postgres\n // - transaction-pooler budget exhaustion under concurrent DDL fan-out\n // - inter-statement lock contention across domains (issue #17679)\n // Runtime queries continue to use the pool normally once init completes.\n // connect() runs inside the try so a failing connection (e.g. a network\n // blip during boot) is caught below and resets #initPromise, keeping\n // init() retryable instead of permanently rejecting.\n let pinnedClient: PoolClient | undefined;\n\n try {\n pinnedClient = await this.#writePool.connect();\n const pinned = new PinnedClientAdapter(this.#writePool, pinnedClient);\n this.#db.pin(pinned);\n // Read the schema's catalog once, up front, so the domains below can\n // answer \"does this table/column/index already exist?\" locally instead of\n // asking the server ~350 times over this one serialized connection.\n // Cleared in the finally: the snapshot never outlives init().\n this.#db.setSchemaSnapshot(await loadSchemaSnapshot(pinned, this.schema));\n await super.init();\n // Only mark initialized after schema creation actually finishes so a\n // racing second init() caller can't return early and issue runtime\n // queries against tables that aren't yet created.\n this.isInitialized = true;\n } catch (error) {\n // Drop the cached promise so a transient failure (e.g. a network blip\n // during boot) can be retried by a later init() call instead of\n // permanently rejecting. Mirrors storageWithInit's cacheInit behavior.\n this.#initPromise = null;\n // Rethrow MastraError directly to preserve structured error IDs (e.g., MIGRATION_REQUIRED::DUPLICATE_SPANS)\n if (error instanceof MastraError) {\n throw error;\n }\n throw new MastraError(\n {\n id: createStorageErrorId('PG', 'INIT', 'FAILED'),\n domain: ErrorDomain.STORAGE,\n category: ErrorCategory.THIRD_PARTY,\n },\n error,\n );\n } finally {\n // Drop the snapshot unconditionally — including when loading it or\n // super.init() threw — so no code path can read a stale catalog picture\n // after init returns.\n this.#db.setSchemaSnapshot(null);\n // Only unpin/release when connect() actually handed us a client; on a\n // failed connect() pinnedClient is undefined and pin() never ran.\n if (pinnedClient) {\n this.#db.unpin();\n pinnedClient.release();\n }\n }\n }\n\n /**\n * Database client for executing queries.\n *\n * @example\n * ```typescript\n * const rows = await store.db.any('SELECT * FROM users WHERE active = $1', [true]);\n * const user = await store.db.one('SELECT * FROM users WHERE id = $1', [userId]);\n * ```\n */\n public get db(): DbClient {\n return this.#db;\n }\n\n /** Database client for queries that may run against the configured read replica. */\n public get readDb(): DbClient {\n return this.#readDb;\n }\n\n /** The underlying writer pg.Pool for direct database access or ORM integration. */\n public get pool(): Pool {\n return this.#writePool;\n }\n\n /** The underlying reader pg.Pool, falling back to the writer pool when unset. */\n public get readPool(): Pool {\n return this.#readPool;\n }\n\n /**\n * Closes the writer connection pool if it was created by this store.\n * Caller-provided writer and reader pools are not closed.\n * Safe to call multiple times — subsequent calls are no-ops.\n */\n async close(): Promise {\n if (this.#ownsWritePool && !this.#writePoolClosed) {\n this.#writePoolClosed = true;\n await this.#writePool.end();\n }\n }\n}\n\n/**\n * Required connection config for the v-next observability domain. Accepts\n * the same connection shapes as `PostgresStoreConfig` (pool /\n * connectionString / host+port / Cloud SQL connector) plus the\n * vNext-specific options.\n *\n * Required by design — `PostgresStoreVNext` will not implicitly share the\n * primary connection. Callers who want to share must pass identical\n * connection details here, and they'll receive a runtime warning every time\n * the store is constructed (and again on every init() over the same logger).\n */\nexport type PostgresStoreVNextObservabilityConfig = (\n | { pool: Pool }\n | {\n connectionString: string;\n ssl?: ConnectionOptions | boolean;\n max?: number;\n idleTimeoutMillis?: number;\n }\n | {\n host: string;\n port?: number;\n database: string;\n user: string;\n password: string;\n ssl?: ConnectionOptions | boolean;\n max?: number;\n idleTimeoutMillis?: number;\n }\n) & {\n schemaName?: string;\n partitioning?: VNextPostgresObservabilityConfig['partitioning'];\n discovery?: VNextPostgresObservabilityConfig['discovery'];\n traceQueryTimeoutMs?: VNextPostgresObservabilityConfig['traceQueryTimeoutMs'];\n};\n\n/**\n * Best-effort detection of two configs pointing at the same Postgres\n * instance. Catches the common collision cases without over-reaching:\n * - identical pool references\n * - identical connectionStrings\n * - identical (host, port, database) tuples\n *\n * Mixed shapes (e.g. connectionString vs host config) return false; we don't\n * try to parse URLs since false positives are worse than the occasional miss.\n */\nfunction isSameConnectionTarget(\n primary: PostgresStoreConfig,\n observability: PostgresStoreVNextObservabilityConfig,\n): boolean {\n if ('pool' in primary && 'pool' in observability) {\n return primary.pool === observability.pool;\n }\n if ('connectionString' in primary && 'connectionString' in observability) {\n return primary.connectionString === observability.connectionString;\n }\n if ('host' in primary && 'host' in observability) {\n return (\n primary.host === observability.host &&\n (primary.port ?? 5432) === ((observability as { port?: number }).port ?? 5432) &&\n primary.database === observability.database\n );\n }\n return false;\n}\n\nconst COLLISION_WARNING =\n 'PostgresStoreVNext: the `observability` connection appears to point at the same Postgres instance ' +\n 'as the primary store. For production workloads, point observability at a dedicated Postgres ' +\n 'instance to avoid degrading your application database performance.';\n\n/**\n * Postgres storage adapter that uses the v-next observability domain.\n *\n * Composes a primary `PostgresStore` (memory / workflows / scores / agents /\n * etc.) with an `ObservabilityStoragePostgresVNext` for logs, metrics,\n * scores, feedback, and traces.\n *\n * The `observability` connection is **required**: every caller has to make\n * an explicit decision about where observability data goes. For production,\n * point it at a dedicated Postgres instance. For local development you can\n * pass the same connection details as the primary store — you'll get a\n * runtime warning every time the store is constructed.\n *\n * IMPORTANT: this adapter is intended for **low-volume production**\n * workloads only. For high-volume agent workloads, use the ClickHouse\n * adapter — Postgres (with or without TimescaleDB) cannot keep up past\n * roughly 1,500 calls/sec sustained on a single primary.\n *\n * @example\n * ```typescript\n * import { Mastra } from '@mastra/core';\n * import { PostgresStoreVNext } from '@mastra/pg';\n *\n * export const mastra = new Mastra({\n * storage: new PostgresStoreVNext({\n * id: 'app',\n * connectionString: process.env.DATABASE_URL!,\n * observability: {\n * connectionString: process.env.OBSERVABILITY_DATABASE_URL!,\n * },\n * }),\n * });\n * ```\n */\nexport class PostgresStoreVNext extends PostgresStore {\n #observabilityPool?: Pool;\n #ownsObservabilityPool = false;\n #observabilityPoolClosed = false;\n\n constructor(\n config: PostgresStoreConfig & {\n /**\n * Connection config for the vNext observability domain. Required.\n * Pass a dedicated connection in production; reusing the primary\n * connection logs a runtime warning every construction.\n */\n observability: PostgresStoreVNextObservabilityConfig;\n },\n ) {\n super(config);\n this.name = 'PostgresStoreVNext';\n\n const obsConfig = config.observability;\n if (isSameConnectionTarget(config, obsConfig)) {\n console.warn(COLLISION_WARNING);\n }\n const built = this.#createObservabilityClient(obsConfig);\n const observabilityClient = built.client;\n this.#observabilityPool = built.pool;\n this.#ownsObservabilityPool = built.owned;\n\n // Same crash-prevention as the primary pool in createPool(): without an\n // 'error' listener, an idle client dropped by the backend escalates to an\n // uncaughtException. Only for pools this store created.\n if (built.owned) {\n built.pool.on('error', err => {\n this.logger?.warn?.(\n 'PostgresStoreVNext: idle observability pool client error (pool discards the client and reconnects on next checkout)',\n {\n err: err instanceof Error ? err.message : err,\n },\n );\n });\n }\n\n // NOTE: `skipDefaultIndexes` / `indexes` from the primary config are\n // intentionally NOT forwarded. The vNext observability domain manages\n // its own index set (see `allIndexDDL` in `ddl.ts`) — pretending to\n // honor primary-store index config here would mislead callers. If the\n // need for custom observability indexes shows up, plumb them through\n // `observability.indexes` as a dedicated field.\n const observability = new ObservabilityStoragePostgresVNext({\n client: observabilityClient,\n schemaName: obsConfig.schemaName ?? config.schemaName,\n partitioning: obsConfig.partitioning,\n discovery: obsConfig.discovery,\n traceQueryTimeoutMs: obsConfig.traceQueryTimeoutMs,\n });\n\n this.stores = {\n ...this.stores,\n observability,\n };\n }\n\n #createObservabilityClient(cfg: PostgresStoreVNextObservabilityConfig): {\n client: DbClient;\n pool: Pool;\n owned: boolean;\n } {\n if ('pool' in cfg && cfg.pool) {\n return { client: new PoolAdapter(cfg.pool), pool: cfg.pool, owned: false };\n }\n if ('connectionString' in cfg && typeof cfg.connectionString === 'string') {\n const pool = createConnectionStringPool(cfg);\n return { client: new PoolAdapter(pool), pool, owned: true };\n }\n if ('host' in cfg) {\n const pool = createHostPool(cfg);\n return { client: new PoolAdapter(pool), pool, owned: true };\n }\n // Cloud SQL connector / pg ClientConfig style — pass through to pg.Pool.\n const pool = new Pool(cfg as never);\n return { client: new PoolAdapter(pool), pool, owned: true };\n }\n\n /**\n * Closes both the primary pool (when owned) and the observability pool\n * (when this store created it). Safe to call multiple times.\n */\n override async close(): Promise {\n await super.close();\n if (this.#ownsObservabilityPool && this.#observabilityPool && !this.#observabilityPoolClosed) {\n this.#observabilityPoolClosed = true;\n await this.#observabilityPool.end();\n }\n }\n}\n","/**\n * Vector store specific prompt that details supported operators and examples.\n * This prompt helps users construct valid filters for PG Vector.\n */\nexport const PGVECTOR_PROMPT = `When querying PG Vector, you can ONLY use the operators listed below. Any other operators will be rejected.\nImportant: Don't explain how to construct the filter - use the specified operators and fields to search the content and return relevant results.\nIf a user tries to give an explicit operator that is not supported, reject the filter entirely and let them know that the operator is not supported.\n\nBasic Comparison Operators:\n- $eq: Exact match (default when using field: value)\n Example: { \"category\": \"electronics\" }\n- $ne: Not equal\n Example: { \"category\": { \"$ne\": \"electronics\" } }\n- $gt: Greater than\n Example: { \"price\": { \"$gt\": 100 } }\n- $gte: Greater than or equal\n Example: { \"price\": { \"$gte\": 100 } }\n- $lt: Less than\n Example: { \"price\": { \"$lt\": 100 } }\n- $lte: Less than or equal\n Example: { \"price\": { \"$lte\": 100 } }\n\nArray Operators:\n- $in: Match any value in array\n Example: { \"category\": { \"$in\": [\"electronics\", \"books\"] } }\n- $nin: Does not match any value in array\n Example: { \"category\": { \"$nin\": [\"electronics\", \"books\"] } }\n- $all: Match all values in array\n Example: { \"tags\": { \"$all\": [\"premium\", \"sale\"] } }\n- $elemMatch: Match array elements that meet all specified conditions\n Example: { \"items\": { \"$elemMatch\": { \"price\": { \"$gt\": 100 } } } }\n- $contains: Check if array contains value\n Example: { \"tags\": { \"$contains\": \"premium\" } }\n\nLogical Operators:\n- $and: Logical AND (implicit when using multiple conditions)\n Example: { \"$and\": [{ \"price\": { \"$gt\": 100 } }, { \"category\": \"electronics\" }] }\n- $or: Logical OR\n Example: { \"$or\": [{ \"price\": { \"$lt\": 50 } }, { \"category\": \"books\" }] }\n- $not: Logical NOT\n Example: { \"$not\": { \"category\": \"electronics\" } }\n- $nor: Logical NOR\n Example: { \"$nor\": [{ \"price\": { \"$lt\": 50 } }, { \"category\": \"books\" }] }\n\nElement Operators:\n- $exists: Check if field exists\n Example: { \"rating\": { \"$exists\": true } }\n\nSpecial Operators:\n- $size: Array length check\n Example: { \"tags\": { \"$size\": 2 } }\n\nRestrictions:\n- Regex patterns are not supported\n- Direct RegExp patterns will throw an error\n- Nested fields are supported using dot notation\n- Multiple conditions on the same field are supported with both implicit and explicit $and\n- Array operations work on array fields only\n- Basic operators handle array values as JSON strings\n- Empty arrays in conditions are handled gracefully\n- Only logical operators ($and, $or, $not, $nor) can be used at the top level\n- All other operators must be used within a field condition\n Valid: { \"field\": { \"$gt\": 100 } }\n Valid: { \"$and\": [...] }\n Invalid: { \"$gt\": 100 }\n Invalid: { \"$contains\": \"value\" }\n- Logical operators must contain field conditions, not direct operators\n Valid: { \"$and\": [{ \"field\": { \"$gt\": 100 } }] }\n Invalid: { \"$and\": [{ \"$gt\": 100 }] }\n- $not operator:\n - Must be an object\n - Cannot be empty\n - Can be used at field level or top level\n - Valid: { \"$not\": { \"field\": \"value\" } }\n - Valid: { \"field\": { \"$not\": { \"$eq\": \"value\" } } }\n- Other logical operators ($and, $or, $nor):\n - Can only be used at top level or nested within other logical operators\n - Can not be used on a field level, or be nested inside a field\n - Can not be used inside an operator\n - Valid: { \"$and\": [{ \"field\": { \"$gt\": 100 } }] }\n - Valid: { \"$or\": [{ \"$and\": [{ \"field\": { \"$gt\": 100 } }] }] }\n - Invalid: { \"field\": { \"$and\": [{ \"$gt\": 100 }] } }\n - Invalid: { \"field\": { \"$or\": [{ \"$gt\": 100 }] } }\n - Invalid: { \"field\": { \"$gt\": { \"$and\": [{...}] } } }\n- $elemMatch requires an object with conditions\n Valid: { \"array\": { \"$elemMatch\": { \"field\": \"value\" } } }\n Invalid: { \"array\": { \"$elemMatch\": \"value\" } }\n\nExample Complex Query:\n{\n \"$and\": [\n { \"category\": { \"$in\": [\"electronics\", \"computers\"] } },\n { \"price\": { \"$gte\": 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