{"version":3,"file":"pinecone.mjs","names":["#waitVisible","#ns","#dims","#index","#settle","#pc","#consistencyMode"],"sources":["../../../src/batteries/vector/pinecone/index.ts"],"sourcesContent":["/**\n * @module @nhtio/adk/batteries/vector/pinecone\n */\n\nimport { BaseVectorStore } from '../contract'\nimport { validateRecords } from '../validation'\nimport { isInstanceOf } from '@nhtio/adk/guards'\nimport { normalizeScore, sanitizeMetadata } from '../helpers'\nimport { isFilterCondition, isRawFilter, isFilterGroup, evaluateFilter } from '../filters'\nimport {\n E_VECTOR_STORE_DRIVER_UNAVAILABLE,\n E_VECTOR_STORE_COLLECTION_FAILED,\n E_VECTOR_STORE_UPSERT_FAILED,\n E_VECTOR_STORE_SEARCH_FAILED,\n E_VECTOR_STORE_DELETE_FAILED,\n E_VECTOR_STORE_DIMENSION_MISMATCH,\n E_VECTOR_STORE_UNSUPPORTED_FILTER_OPERATOR,\n E_VECTOR_STORE_UNSUPPORTED_OPERATION,\n E_VECTOR_STORE_CONNECTION_FAILED,\n E_VECTOR_STORE_CONSISTENCY_TIMEOUT,\n} from '../exceptions'\nimport type { VectorFilter } from '../filters'\nimport type { SearchPlan, UpsertPlan, DeletePlan, CollectionSpec } from '../plan'\nimport type {\n VectorMatch,\n VectorStoreCapabilities,\n BaseVectorStoreOptions,\n VectorMetadata,\n VectorConsistency,\n} from '../types'\n\nexport interface PineconeVectorStoreOptions extends BaseVectorStoreOptions {\n /** Pinecone API key. */\n apiKey: string\n /** Name of the Pinecone index this store operates against. */\n index: string\n /**\n * When set, the physical Pinecone namespace becomes `${namespacePrefix}__${collection}`.\n * The logical collection name the builder/base see is unchanged — only the physical\n * namespace string is prefixed. Lets callers (and the test suite) isolate otherwise\n * identically-named collections into distinct, uncontended namespaces. Pinecone\n * namespaces are implicit (born on first upsert), so a fresh prefix costs nothing.\n */\n namespacePrefix?: string\n /** Connection and authentication parameters for the backend. */\n connection?: { controllerHostUrl?: string }\n}\n\nconst getPineconeClient = async () => {\n try {\n const mod = await import('@pinecone-database/pinecone')\n return mod.Pinecone\n } catch {\n throw new E_VECTOR_STORE_DRIVER_UNAVAILABLE(['@pinecone-database/pinecone'])\n }\n}\n\nexport class PineconeVectorStore extends BaseVectorStore {\n readonly capabilities: VectorStoreCapabilities = {\n transactions: false,\n namedVectors: false,\n rename: false,\n rawSql: false,\n builtInEncoding: false,\n // Pinecone serverless is eventually consistent: the option is honored, and the default\n // is 'strong' so out-of-the-box behavior matches the strongly-consistent adapters.\n consistency: {\n configurable: true,\n default: 'strong',\n modes: ['strong', 'best-effort', 'eventual'],\n },\n }\n #pc: any | null = null\n #index: any | null = null\n #dims: Map = new Map()\n\n // Resolve the effective consistency mode for one write, honoring precedence:\n // per-operation override (plan.consistency) > store option > adapter-declared default.\n #consistencyMode(perOp?: VectorConsistency): VectorConsistency {\n return (\n perOp ??\n (this.options as PineconeVectorStoreOptions).consistency ??\n this.capabilities.consistency.default\n )\n }\n\n // Map a logical collection name to its physical Pinecone namespace. Only the physical\n // namespace string is prefixed; #dims and everything the base/builder see stay keyed on\n // the logical name.\n #ns(collection: string): string {\n const prefix = (this.options as PineconeVectorStoreOptions).namespacePrefix\n return prefix ? `${prefix}__${collection}` : collection\n }\n\n // Returns true if visibility was confirmed within the bound, false on timeout.\n // Polls the SAME read paths the adapter reads through downstream:\n // present ids → must appear in BOTH query() matches AND listPaginated()\n // absent ids → must be gone from BOTH listPaginated() AND fetch()\n async #waitVisible(\n ns: any,\n collection: string,\n opts: { present?: string[]; absent?: string[]; probeVector?: number[] }\n ): Promise {\n const present = opts.present ?? []\n const absent = opts.absent ?? []\n if (present.length === 0 && absent.length === 0) return true\n const physicalNs = this.#ns(collection)\n const dims = this.#dims.get(collection) ?? 3\n const queryVec = opts.probeVector ?? new Array(dims).fill(0).map((_, i) => (i === 0 ? 1 : 0))\n const deadline = Date.now() + 10_000 // 10s ceiling; freshness is ~seconds\n const topK = Math.max(present.length + absent.length + 5, 10)\n while (true) {\n let presentOk = true\n let absentOk = true\n if (present.length > 0) {\n let listed = new Set()\n try {\n const lr = await this.#index!.listPaginated({ namespace: physicalNs, limit: 99 })\n listed = new Set((lr.vectors ?? []).map((v: any) => v.id))\n } catch {\n listed = new Set()\n }\n let queried = new Set()\n try {\n const qr = await ns.query({ vector: queryVec, topK, includeValues: false })\n queried = new Set((qr.matches ?? []).map((m: any) => m.id))\n } catch {\n queried = new Set()\n }\n presentOk = present.every((id) => listed.has(id) && queried.has(id))\n }\n if (absent.length > 0) {\n let listed = new Set()\n try {\n const lr = await this.#index!.listPaginated({ namespace: physicalNs, limit: 99 })\n listed = new Set((lr.vectors ?? []).map((v: any) => v.id))\n } catch {\n listed = new Set()\n }\n let fetched: Record = {}\n try {\n const fr = await ns.fetch({ ids: absent })\n fetched = fr.records ?? {}\n } catch {\n fetched = {}\n }\n absentOk = absent.every((id) => !listed.has(id) && fetched[id] === undefined)\n }\n if (presentOk && absentOk) return true\n if (Date.now() >= deadline) return false\n await new Promise((r) => setTimeout(r, 300))\n }\n }\n\n // Apply the resolved consistency-mode semantics for one write:\n // strong → wait, and THROW E_VECTOR_STORE_CONSISTENCY_TIMEOUT if not confirmed.\n // best-effort → wait up to the bound, then resolve whether or not confirmed (no throw).\n // eventual → no wait at all.\n // `mode` is the effective mode for THIS operation (already resolved from the precedence\n // chain by the caller via #consistencyMode(plan.consistency)).\n async #settle(\n ns: any,\n collection: string,\n opts: { present?: string[]; absent?: string[] },\n what: string,\n mode: VectorConsistency\n ): Promise {\n if (mode === 'eventual') return\n const confirmed = await this.#waitVisible(ns, collection, opts)\n if (!confirmed && mode === 'strong') {\n throw new E_VECTOR_STORE_CONSISTENCY_TIMEOUT([what])\n }\n // best-effort: resolve regardless\n }\n\n /** Static availability probe: whether this adapter's runtime driver can load in the current environment. */\n static isAvailable(): boolean {\n return typeof process !== 'undefined'\n }\n isAvailable(): boolean {\n return typeof process !== 'undefined'\n }\n async connect(): Promise {\n if (this.#pc) return\n const Pinecone = await getPineconeClient()\n const opts = this.options as PineconeVectorStoreOptions\n try {\n this.#pc = new Pinecone({ apiKey: opts.apiKey, ...opts.connection })\n this.#index = this.#pc.index(opts.index)\n } catch (err) {\n throw new E_VECTOR_STORE_CONNECTION_FAILED([String(err)])\n }\n }\n async close(): Promise {\n this.#pc = null\n this.#index = null\n }\n async createCollection(spec: CollectionSpec, ifNotExists: boolean): Promise {\n const collection = spec.collection\n if (ifNotExists) {\n if (await this.hasCollection(collection)) return\n }\n if (this.#dims.has(collection)) {\n const existingDim = this.#dims.get(collection)!\n if (existingDim !== spec.vector.dimensions) {\n throw new E_VECTOR_STORE_COLLECTION_FAILED([\n 'createCollection',\n `Collection ${collection} already exists with dimension ${existingDim}`,\n ])\n }\n return\n }\n this.#dims.set(collection, spec.vector.dimensions)\n }\n async dropCollection(collection: string, ifExists: boolean): Promise {\n if (ifExists) {\n if (!(await this.hasCollection(collection))) return\n } else if (!(await this.hasCollection(collection))) {\n return\n }\n await this.connect()\n const physicalNs = this.#ns(collection)\n const ns = this.#index!.namespace(physicalNs)\n try {\n // Get all IDs via pagination\n let page: any = { next: null }\n const ids: string[] = []\n do {\n const lr = await this.#index!.listPaginated({\n namespace: physicalNs,\n limit: 99,\n startingToken: page.next,\n })\n if (lr.vectors) ids.push(...lr.vectors.map((v: any) => v.id))\n page.next = lr.pagination?.next\n } while (page.next)\n\n // Delete all found IDs\n if (ids.length > 0) {\n await ns.deleteMany({ ids })\n }\n\n // Settle on absence\n await this.#settle(\n ns,\n collection,\n { absent: ids },\n 'dropCollection ' + collection,\n this.#consistencyMode()\n )\n } catch (err: any) {\n // Re-throw consistency timeout directly (don't swallow)\n if (\n isInstanceOf(err, 'E_VECTOR_STORE_CONSISTENCY_TIMEOUT', E_VECTOR_STORE_CONSISTENCY_TIMEOUT)\n )\n throw err\n const msg = String(err)\n if (ifExists && msg.includes('not found')) return\n throw new E_VECTOR_STORE_COLLECTION_FAILED(['dropCollection', msg])\n }\n }\n async hasCollection(collection: string): Promise {\n await this.connect()\n const stats = await this.#index!.describeIndexStats()\n return !!stats.namespaces?.[this.#ns(collection)]\n }\n async renameCollection(_from: string, _to: string): Promise {\n throw new E_VECTOR_STORE_UNSUPPORTED_OPERATION(['renameCollection', 'pinecone'])\n }\n async executeUpsert(plan: UpsertPlan): Promise {\n if (plan.records.length === 0) return\n validateRecords(plan.records)\n await this.connect()\n const collection = plan.collection\n const ns = this.#index!.namespace(this.#ns(collection))\n const dims = this.#dims.get(collection)\n const vectors: any[] = []\n for (const r of plan.records) {\n let vector = r.vector\n if (!vector && r.document) {\n const [v] = await this.encode([r.document], 'document')\n vector = v\n }\n if (!vector) {\n throw new E_VECTOR_STORE_UPSERT_FAILED(['Record missing vector and document'])\n }\n if (dims !== undefined && vector.length !== dims) {\n throw new E_VECTOR_STORE_DIMENSION_MISMATCH([dims, vector.length])\n }\n vectors.push({\n id: r.id,\n values: vector,\n metadata: { ...sanitizeMetadata(r.metadata), __document: r.document ?? '' },\n })\n }\n try {\n await ns.upsert({ records: vectors })\n // Call settle after upsert to wait for visibility (per-op override > store > default)\n await this.#settle(\n ns,\n collection,\n { present: vectors.map((v) => v.id) },\n 'upsert ' + vectors.length + ' record(s)',\n this.#consistencyMode(plan.consistency)\n )\n } catch (err) {\n if (\n isInstanceOf(err, 'E_VECTOR_STORE_CONSISTENCY_TIMEOUT', E_VECTOR_STORE_CONSISTENCY_TIMEOUT)\n )\n throw err\n throw new E_VECTOR_STORE_UPSERT_FAILED([String(err)])\n }\n }\n async executeSearch(plan: SearchPlan): Promise {\n await this.connect()\n const collection = plan.collection\n const physicalNs = this.#ns(collection)\n const ns = this.#index!.namespace(physicalNs)\n const metric = this.options.metric ?? 'cosine'\n let queryVector: number[] | undefined\n if (plan.near) {\n if ('vector' in plan.near) {\n queryVector = plan.near.vector\n } else if ('serverText' in plan.near) {\n const [v] = await this.encode([plan.near.serverText], 'query')\n queryVector = v\n } else if ('id' in plan.near) {\n const res = await ns.fetch({ ids: [plan.near.id] })\n const record = res.records[plan.near.id]\n if (!record) {\n throw new E_VECTOR_STORE_SEARCH_FAILED(['Referenced id not found: ' + plan.near.id])\n }\n queryVector = record.values\n }\n }\n const offset = plan.offset ?? 0\n const k = plan.topK + offset\n if (queryVector) {\n const filter = translatePineconeFilter(plan.filter)\n const res = await ns.query({\n vector: queryVector,\n topK: k,\n filter,\n includeMetadata: true,\n includeValues: !!plan.projection.vector,\n })\n const rawMatches = res.matches ?? []\n const sliceMatches = rawMatches.slice(offset)\n const matches: VectorMatch[] = []\n for (const match of sliceMatches) {\n const proj: VectorMatch = {}\n if (plan.projection.id) {\n proj.id = match.id\n }\n if (plan.projection.vector && match.values) {\n proj.vector = match.values\n }\n if (plan.projection.document && match.metadata) {\n proj.document = match.metadata.__document\n }\n if (plan.projection.metadata && match.metadata) {\n const meta: VectorMetadata = {}\n for (const key in match.metadata) {\n if (key !== '__document') {\n meta[key] = match.metadata[key]\n }\n }\n proj.metadata = meta\n }\n if (plan.near) {\n proj.score = normalizeScore(match.score!, metric, 'similarity')\n }\n matches.push(proj)\n }\n return matches\n } else {\n // Filter-scan: Pinecone v7 listPaginated filter is broken, so we get all records\n // and filter client-side. First, get all IDs without filter, then fetch.\n let page: any = { next: null }\n const ids: string[] = []\n do {\n // Get all IDs without filter - Pinecone v7 listPaginated without filter works\n const listRes = await this.#index!.listPaginated({\n limit: 99,\n startingToken: page.next,\n namespace: physicalNs,\n })\n if (listRes.vectors) {\n ids.push(...listRes.vectors.map((v: any) => v.id))\n }\n page.next = listRes.pagination?.next\n } while (page.next)\n if (ids.length === 0) return []\n\n // Fetch all records and filter client-side\n const allRecords: any = {}\n for (let i = 0; i < ids.length; i += 100) {\n const batch = ids.slice(i, i + 100)\n const fetchRes = await ns.fetch({ ids: batch })\n if (fetchRes && fetchRes.records) {\n for (const id in fetchRes.records) {\n allRecords[id] = fetchRes.records[id]\n }\n }\n }\n const matches: VectorMatch[] = []\n for (const id in allRecords) {\n const record = allRecords[id]\n if (record.metadata) {\n const evalMeta: VectorMetadata = {}\n for (const key in record.metadata) {\n if (key !== '__document') {\n evalMeta[key] = record.metadata[key]\n }\n }\n // If no filter, include all records; otherwise evaluate the filter\n if (!plan.filter || evaluateFilter(plan.filter, evalMeta)) {\n const proj: VectorMatch = {}\n if (plan.projection.id) {\n proj.id = id\n }\n if (plan.projection.vector && record.values) {\n proj.vector = record.values\n }\n if (plan.projection.document && record.metadata) {\n proj.document = record.metadata.__document\n }\n if (plan.projection.metadata && record.metadata) {\n const meta: VectorMetadata = {}\n for (const key in record.metadata) {\n if (key !== '__document') {\n meta[key] = record.metadata[key]\n }\n }\n proj.metadata = meta as VectorMetadata\n }\n matches.push(proj)\n }\n }\n }\n return matches.slice(offset, offset + plan.topK)\n }\n }\n async executeDelete(plan: DeletePlan): Promise {\n await this.connect()\n const collection = plan.collection\n const physicalNs = this.#ns(collection)\n const ns = this.#index!.namespace(physicalNs)\n const mode = this.#consistencyMode(plan.consistency)\n try {\n if (plan.ids && plan.ids.length > 0) {\n await ns.deleteMany({ ids: plan.ids })\n // Call settle after delete-by-ids to wait for absence\n await this.#settle(ns, collection, { absent: plan.ids }, 'delete by id', mode)\n } else if (plan.filter) {\n // Pinecone v7 listPaginated filter is broken, and Pinecone doesn't support\n // filtering by record ID. Get all IDs and filter client-side.\n let page: any = { next: null }\n const ids: string[] = []\n do {\n const listRes = await this.#index!.listPaginated({\n limit: 99,\n startingToken: page.next,\n namespace: physicalNs,\n })\n if (listRes.vectors) {\n ids.push(...listRes.vectors.map((v: any) => v.id))\n }\n page.next = listRes.pagination?.next\n } while (page.next)\n\n // For Pinecone, we can only filter by metadata fields.\n // If the filter is on 'id', filter client-side without metadata.\n // Otherwise, fetch records and filter by metadata.\n const deleteIds: string[] = []\n\n // Check if filter targets 'id' field (Pinecone record ID)\n const filterTargetsId = plan.filter ? isFilterOnId(plan.filter) : false\n\n if (filterTargetsId) {\n // Filter by record ID directly\n for (const id of ids) {\n if (evaluateFilter(plan.filter, { id })) {\n deleteIds.push(id)\n }\n }\n } else {\n // Filter by metadata\n for (const id of ids) {\n const res = await ns.fetch({ ids: [id] })\n const record = res.records[id]\n if (record && record.metadata) {\n const evalMeta: VectorMetadata = {}\n for (const key in record.metadata) {\n if (key !== '__document') {\n evalMeta[key] = record.metadata[key]\n }\n }\n if (evaluateFilter(plan.filter, evalMeta)) {\n deleteIds.push(id)\n }\n }\n }\n }\n\n if (deleteIds.length > 0) {\n await ns.deleteMany({ ids: deleteIds })\n // Call settle after delete-by-filter to wait for absence\n await this.#settle(ns, collection, { absent: deleteIds }, 'delete by filter', mode)\n }\n } else {\n // Delete all via list+deleteMany pattern (no more deleteAll + settleEmpty)\n let page: any = { next: null }\n const allIds: string[] = []\n do {\n const lr = await this.#index!.listPaginated({\n namespace: physicalNs,\n limit: 99,\n startingToken: page.next,\n })\n if (lr.vectors) allIds.push(...lr.vectors.map((v: any) => v.id))\n page.next = lr.pagination?.next\n } while (page.next)\n\n if (allIds.length > 0) {\n await ns.deleteMany({ ids: allIds })\n }\n // Settle on absence\n await this.#settle(ns, collection, { absent: allIds }, 'delete all', mode)\n }\n } catch (err) {\n // Re-throw consistency timeout directly (don't swallow)\n if (\n isInstanceOf(err, 'E_VECTOR_STORE_CONSISTENCY_TIMEOUT', E_VECTOR_STORE_CONSISTENCY_TIMEOUT)\n )\n throw err\n throw new E_VECTOR_STORE_DELETE_FAILED([String(err)])\n }\n }\n}\n\n// Check if a filter targets the 'id' field (Pinecone record ID)\nconst isFilterOnId = (filter?: VectorFilter): boolean => {\n if (!filter) return false\n if (isRawFilter(filter)) {\n return false\n }\n if (isFilterCondition(filter)) {\n return filter.field === 'id'\n }\n if (isFilterGroup(filter)) {\n const { and, or, not } = filter\n if (and && and.length > 0) {\n return and.some((f) => isFilterOnId(f))\n }\n if (or && or.length > 0) {\n return or.some((f) => isFilterOnId(f))\n }\n if (not) {\n return isFilterOnId(not)\n }\n }\n return false\n}\n\n/** Translate a neutral {@link VectorFilter} into a Pinecone metadata filter object. */\nexport const translatePineconeFilter = (\n filter?: VectorFilter\n): Record | undefined => {\n if (!filter) return undefined\n if (isRawFilter(filter)) {\n if (filter.$dialect === 'pinecone') {\n return filter.$raw as Record\n }\n throw new E_VECTOR_STORE_UNSUPPORTED_FILTER_OPERATOR(['pinecone', String(filter.$dialect)])\n }\n if (isFilterCondition(filter)) {\n const { field, op, value } = filter\n if (value === undefined) {\n throw new E_VECTOR_STORE_UNSUPPORTED_FILTER_OPERATOR(['pinecone', op])\n }\n if (op === 'eq') {\n return { [field]: { $eq: value } }\n }\n if (op === 'ne') {\n return { [field]: { $ne: value } }\n }\n if (op === 'gt') {\n return { [field]: { $gt: value } }\n }\n if (op === 'gte') {\n return { [field]: { $gte: value } }\n }\n if (op === 'lt') {\n return { [field]: { $lt: value } }\n }\n if (op === 'lte') {\n return { [field]: { $lte: value } }\n }\n if (op === 'in') {\n return { [field]: { $in: value } }\n }\n if (op === 'nin') {\n return { [field]: { $nin: value } }\n }\n if (op === 'exists') {\n throw new E_VECTOR_STORE_UNSUPPORTED_FILTER_OPERATOR(['pinecone', op])\n }\n if (op === 'contains') {\n throw new E_VECTOR_STORE_UNSUPPORTED_FILTER_OPERATOR(['pinecone', op])\n }\n return undefined\n }\n if (isFilterGroup(filter)) {\n const { and, or, not } = filter\n if (and) {\n const children = and\n .map((f) => translatePineconeFilter(f) as Record)\n .filter((c) => c !== undefined)\n if (children.length === 0) return undefined\n if (children.length === 1) return children[0]\n return { $and: children }\n }\n if (or) {\n const children = or\n .map((f) => translatePineconeFilter(f) as Record)\n .filter((c) => c !== undefined)\n if (children.length === 0) return undefined\n if (children.length === 1) return children[0]\n return { $or: children }\n }\n if (not) {\n throw new E_VECTOR_STORE_UNSUPPORTED_FILTER_OPERATOR(['pinecone', 'not'])\n }\n return undefined\n }\n return 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