{"version":3,"file":"byline-registry-BcpTrCYK.mjs","names":[],"sources":["../src/schema/byline-registry.ts"],"sourcesContent":["import type { Kysely } from \"kysely\";\nimport { sql } from \"kysely\";\nimport { ulid } from \"ulidx\";\n\nimport { withTransaction } from \"../database/transaction.js\";\nimport type { BylineFieldTable, Database } from \"../database/types.js\";\nimport { validateIdentifier } from \"../database/validate.js\";\nimport {\n\tBYLINE_FIELD_TYPES,\n\tRESERVED_BYLINE_FIELD_SLUGS,\n\ttype BylineFieldDefinition,\n\ttype BylineFieldType,\n\ttype BylineFieldValidation,\n\ttype CreateBylineFieldInput,\n\ttype UpdateBylineFieldInput,\n} from \"./types.js\";\n\nconst RESERVED_SET: ReadonlySet<string> = new Set(RESERVED_BYLINE_FIELD_SLUGS);\nconst TYPE_SET: ReadonlySet<string> = new Set(BYLINE_FIELD_TYPES);\n\nconst VERSION_KEY = \"byline_fields_version\";\n\n/** Hard cap on the choices array for a `select`-type field. */\nconst MAX_SELECT_OPTIONS = 200;\n/** Hard cap on a slug — mirrors `SchemaRegistry.validateSlug`. */\nconst MAX_SLUG_LENGTH = 63;\n/** Hard cap on a label. Bigger than slugs because labels are display strings. */\nconst MAX_LABEL_LENGTH = 200;\n\n/**\n * Error thrown for byline-schema validation failures. Mirrors\n * `SchemaError` in `registry.ts` so the admin API layer can map a small\n * set of codes to HTTP statuses without inspecting messages.\n *\n * Codes:\n * - `INVALID_SLUG`      — slug fails identifier rules or length cap\n * - `RESERVED_SLUG`     — slug collides with a fixed `_emdash_bylines` column\n * - `INVALID_TYPE`      — type is not one of the five v1 field types\n * - `INVALID_LABEL`     — label missing or exceeds length cap\n * - `INVALID_VALIDATION` — validation payload malformed (e.g. `select` with\n *                          no `options`, duplicates in `options`)\n * - `FIELD_EXISTS`      — slug already registered\n * - `FIELD_NOT_FOUND`   — slug not registered\n * - `TRANSLATABLE_LOCKED` — attempt to flip `translatable` while stored\n *                          values reference the field\n * - `REORDER_MISMATCH`  — reorder input doesn't match the registered set\n */\nexport class BylineSchemaError extends Error {\n\tconstructor(\n\t\tmessage: string,\n\t\tpublic code: string,\n\t\tpublic details?: Record<string, unknown>,\n\t) {\n\t\tsuper(message);\n\t\tthis.name = \"BylineSchemaError\";\n\t}\n}\n\n/**\n * Translate a `BylineSchemaError` code to a shared `ErrorCode` for the\n * admin API. HTTP status is then derived by `mapErrorStatus` — this\n * function deliberately doesn't carry one, so the API/handler boundary\n * matches the rest of the codebase (handlers return `ApiResult<T>` with\n * a code, the route layer maps to status via `unwrapResult`).\n *\n * Every code on the right-hand side of `case ... return ...` is defined\n * in `ErrorCode` (`api/errors.ts`). `INVALID_LABEL` and\n * `INVALID_VALIDATION` are intentionally folded into the `default`\n * branch (→ `VALIDATION_ERROR`) so no ad-hoc codes leak out — the\n * registry's domain code names them but the HTTP surface should not.\n *\n * `RESERVED_SLUG` / `INVALID_SLUG` typically don't reach this layer for\n * HTTP callers — the zod schema rejects them first with a clean\n * `VALIDATION_ERROR`. They're still listed so non-HTTP callers (and the\n * test layer) get consistent mapping.\n *\n * `FIELD_NOT_FOUND` is normalised to the shared `NOT_FOUND` code so the\n * admin client can branch on one constant across resource types.\n */\nexport function mapBylineSchemaError(error: BylineSchemaError): {\n\tcode: string;\n\tmessage: string;\n\tdetails?: Record<string, unknown>;\n} {\n\tswitch (error.code) {\n\t\tcase \"FIELD_NOT_FOUND\":\n\t\t\treturn { code: \"NOT_FOUND\", message: error.message, details: error.details };\n\t\tcase \"FIELD_EXISTS\":\n\t\tcase \"TRANSLATABLE_LOCKED\":\n\t\tcase \"REORDER_MISMATCH\":\n\t\tcase \"INVALID_SLUG\":\n\t\tcase \"RESERVED_SLUG\":\n\t\tcase \"INVALID_TYPE\":\n\t\t\treturn { code: error.code, message: error.message, details: error.details };\n\t\tdefault:\n\t\t\t// Catches INVALID_LABEL, INVALID_VALIDATION, and any future\n\t\t\t// registry codes we forget to wire up explicitly.\n\t\t\treturn { code: \"VALIDATION_ERROR\", message: error.message, details: error.details };\n\t}\n}\n\n/**\n * Registry for byline custom fields (Discussion #1174).\n *\n * Owns CRUD over `_emdash_byline_fields` and the\n * `options.byline_fields_version` counter that drives cache\n * invalidation in `bylines/field-defs-cache.ts`.\n *\n * **Dirty-bit bookend.** Every mutation runs `markVersionDirty` before\n * the schema write and `markVersionClean` after, as standalone writes\n * (not inside `withTransaction`) so concurrent isolates observe the\n * dirty mark *before* the mutation lands. Parity carries meaning:\n * odd = mutation in flight or crashed mid-flight, even = stable.\n * The cache bypasses the global holder while odd.\n *\n * `markVersionDirty` is parity-aware (idempotent on odd) so a\n * crashed prior attempt doesn't invert the bit.\n * `markVersionClean` always advances to a new even value (+2 from\n * even, +1 from odd) so concurrent mutators can't collapse on the\n * same key and pin a stale cache snapshot. Idempotent-retry exits\n * (`FIELD_EXISTS` / `FIELD_NOT_FOUND` / no-op update) call\n * `markVersionClean` too — same code path doubles as crash recovery\n * and false-clean recovery.\n *\n * The residual race: a reader caching between two concurrent\n * `markVersionClean` calls sees a partial-set snapshot until the\n * second clean lands. Bounded by the inter-clean window (~ms).\n * Schema mutations are admin-only and rare; acceptable for now.\n * A CAS-on-bump or dialect-specific lock is tracked as follow-up.\n *\n * **`deleteField` cascade.** Migration 041 already declares\n * `ON DELETE CASCADE` on both value tables. The explicit deletes\n * here are defense-in-depth against FK-pragma misconfig and mirror\n * `BylineRepository.delete`'s app-level cascade for the bylines\n * domain.\n *\n * Reserved-slug rejection runs at the API layer (zod) *and* here so\n * non-HTTP callers (seeds, scripts) can't bypass the check.\n */\nexport class BylineSchemaRegistry {\n\tconstructor(private db: Kysely<Database>) {}\n\n\tasync listFields(): Promise<BylineFieldDefinition[]> {\n\t\tconst rows = await this.db\n\t\t\t.selectFrom(\"_emdash_byline_fields\")\n\t\t\t.selectAll()\n\t\t\t.orderBy(\"sort_order\", \"asc\")\n\t\t\t.orderBy(\"created_at\", \"asc\")\n\t\t\t.execute();\n\t\treturn rows.map((row) => mapFieldRow(row));\n\t}\n\n\tasync getField(slug: string): Promise<BylineFieldDefinition | null> {\n\t\tconst row = await this.db\n\t\t\t.selectFrom(\"_emdash_byline_fields\")\n\t\t\t.selectAll()\n\t\t\t.where(\"slug\", \"=\", slug)\n\t\t\t.executeTakeFirst();\n\t\treturn row ? mapFieldRow(row) : null;\n\t}\n\n\tasync getFieldById(id: string): Promise<BylineFieldDefinition | null> {\n\t\tconst row = await this.db\n\t\t\t.selectFrom(\"_emdash_byline_fields\")\n\t\t\t.selectAll()\n\t\t\t.where(\"id\", \"=\", id)\n\t\t\t.executeTakeFirst();\n\t\treturn row ? mapFieldRow(row) : null;\n\t}\n\n\tasync createField(input: CreateBylineFieldInput): Promise<BylineFieldDefinition> {\n\t\tthis.validateSlug(input.slug);\n\t\tthis.validateLabel(input.label);\n\t\tthis.validateType(input.type);\n\t\tconst validation = this.normaliseValidation(input.type, input.validation ?? null);\n\n\t\tconst existing = await this.getField(input.slug);\n\t\tif (existing) {\n\t\t\t// Idempotent retry exit — see class JSDoc.\n\t\t\tawait this.markVersionClean();\n\t\t\tthrow new BylineSchemaError(`Byline field \"${input.slug}\" already exists`, \"FIELD_EXISTS\", {\n\t\t\t\tslug: input.slug,\n\t\t\t});\n\t\t}\n\n\t\tconst id = ulid();\n\t\tconst sortOrder = input.sortOrder ?? (await this.nextSortOrder());\n\n\t\tawait this.markVersionDirty();\n\t\tawait withTransaction(this.db, async (trx) => {\n\t\t\tawait trx\n\t\t\t\t.insertInto(\"_emdash_byline_fields\")\n\t\t\t\t.values({\n\t\t\t\t\tid,\n\t\t\t\t\tslug: input.slug,\n\t\t\t\t\tlabel: input.label,\n\t\t\t\t\ttype: input.type,\n\t\t\t\t\trequired: input.required ? 1 : 0,\n\t\t\t\t\ttranslatable: input.translatable === false ? 0 : 1,\n\t\t\t\t\tvalidation: validation ? JSON.stringify(validation) : null,\n\t\t\t\t\tsort_order: sortOrder,\n\t\t\t\t})\n\t\t\t\t.execute();\n\t\t});\n\t\tawait this.markVersionClean();\n\n\t\tconst created = await this.getFieldById(id);\n\t\tif (!created) {\n\t\t\t// Should be unreachable on a working DB — but a typed error\n\t\t\t// beats letting the route returning null on a successful path.\n\t\t\tthrow new BylineSchemaError(\"Failed to load created field\", \"FIELD_NOT_FOUND\", {\n\t\t\t\tid,\n\t\t\t});\n\t\t}\n\t\treturn created;\n\t}\n\n\tasync updateField(slug: string, input: UpdateBylineFieldInput): Promise<BylineFieldDefinition> {\n\t\tconst field = await this.getField(slug);\n\t\tif (!field) {\n\t\t\t// Idempotent retry exit — see class JSDoc.\n\t\t\tawait this.markVersionClean();\n\t\t\tthrow new BylineSchemaError(`Byline field \"${slug}\" not found`, \"FIELD_NOT_FOUND\", {\n\t\t\t\tslug,\n\t\t\t});\n\t\t}\n\n\t\tconst updates: Partial<{\n\t\t\tlabel: string;\n\t\t\trequired: number;\n\t\t\ttranslatable: number;\n\t\t\tvalidation: string | null;\n\t\t\tsort_order: number;\n\t\t\tupdated_at: string;\n\t\t}> = {};\n\n\t\tif (input.label !== undefined) {\n\t\t\tthis.validateLabel(input.label);\n\t\t\tupdates.label = input.label;\n\t\t}\n\n\t\tif (input.required !== undefined) {\n\t\t\tupdates.required = input.required ? 1 : 0;\n\t\t}\n\n\t\tif (input.validation !== undefined) {\n\t\t\t// Validation payload is normalised against the *current* field\n\t\t\t// type — `type` is not updatable, so it's safe to use `field.type`.\n\t\t\tconst validation = this.normaliseValidation(field.type, input.validation);\n\t\t\tupdates.validation = validation ? JSON.stringify(validation) : null;\n\t\t}\n\n\t\tif (input.translatable !== undefined && input.translatable !== field.translatable) {\n\t\t\t// Flipping `translatable` would orphan any values already stored\n\t\t\t// in the table matching the *current* flag. Reject when any\n\t\t\t// value rows reference this field — admins can delete the field\n\t\t\t// (cascading the values) and re-create it with the new flag if\n\t\t\t// they want a clean re-start. Migrating values across tables is\n\t\t\t// out of scope (Discussion #1174 doesn't authorise it).\n\t\t\tconst usage = await this.countFieldValues(field.id);\n\t\t\tif (usage > 0) {\n\t\t\t\tthrow new BylineSchemaError(\n\t\t\t\t\t`Cannot change \"translatable\" on field \"${slug}\" while ${usage} value row(s) exist. ` +\n\t\t\t\t\t\t`Delete the values (or the field) and re-create with the new setting.`,\n\t\t\t\t\t\"TRANSLATABLE_LOCKED\",\n\t\t\t\t\t{ slug, valueCount: usage },\n\t\t\t\t);\n\t\t\t}\n\t\t\tupdates.translatable = input.translatable ? 1 : 0;\n\t\t}\n\n\t\tif (input.sortOrder !== undefined) {\n\t\t\tupdates.sort_order = input.sortOrder;\n\t\t}\n\n\t\tif (Object.keys(updates).length === 0) {\n\t\t\t// No-op update — still advance the clean marker in case\n\t\t\t// we're recovering a crashed prior attempt.\n\t\t\tawait this.markVersionClean();\n\t\t\treturn field;\n\t\t}\n\n\t\tupdates.updated_at = new Date().toISOString();\n\n\t\tawait this.markVersionDirty();\n\t\tawait withTransaction(this.db, async (trx) => {\n\t\t\tawait trx\n\t\t\t\t.updateTable(\"_emdash_byline_fields\")\n\t\t\t\t.set(updates)\n\t\t\t\t.where(\"id\", \"=\", field.id)\n\t\t\t\t.execute();\n\t\t});\n\t\tawait this.markVersionClean();\n\n\t\tconst updated = await this.getFieldById(field.id);\n\t\tif (!updated) {\n\t\t\tthrow new BylineSchemaError(\"Failed to load updated field\", \"FIELD_NOT_FOUND\", {\n\t\t\t\tslug,\n\t\t\t});\n\t\t}\n\t\treturn updated;\n\t}\n\n\tasync deleteField(slug: string): Promise<void> {\n\t\tconst field = await this.getField(slug);\n\t\tif (!field) {\n\t\t\t// Idempotent retry exit — see class JSDoc.\n\t\t\tawait this.markVersionClean();\n\t\t\tthrow new BylineSchemaError(`Byline field \"${slug}\" not found`, \"FIELD_NOT_FOUND\", {\n\t\t\t\tslug,\n\t\t\t});\n\t\t}\n\n\t\t// Delete order matters on D1 (no tx): value rows first, definition\n\t\t// row last, so a crash leaves the definition recoverable on retry\n\t\t// rather than orphan values pointing at a vanished id.\n\t\tawait this.markVersionDirty();\n\t\tawait withTransaction(this.db, async (trx) => {\n\t\t\tawait trx\n\t\t\t\t.deleteFrom(\"_emdash_byline_field_values\")\n\t\t\t\t.where(\"field_id\", \"=\", field.id)\n\t\t\t\t.execute();\n\t\t\tawait trx\n\t\t\t\t.deleteFrom(\"_emdash_byline_field_group_values\")\n\t\t\t\t.where(\"field_id\", \"=\", field.id)\n\t\t\t\t.execute();\n\t\t\tawait trx.deleteFrom(\"_emdash_byline_fields\").where(\"id\", \"=\", field.id).execute();\n\t\t});\n\t\tawait this.markVersionClean();\n\t}\n\n\t/**\n\t * Reorder fields by slug. The input must be the *exact* set of\n\t * currently registered slugs — no adds, no drops, no duplicates. This\n\t * keeps the operation invertible (any reorder is followed by a reverse\n\t * reorder) and removes a class of \"did I forget a field?\" bugs at the\n\t * API layer.\n\t */\n\tasync reorderFields(slugs: string[]): Promise<void> {\n\t\tif (new Set(slugs).size !== slugs.length) {\n\t\t\tthrow new BylineSchemaError(\"Reorder input contains duplicate slugs\", \"REORDER_MISMATCH\", {\n\t\t\t\tslugs,\n\t\t\t});\n\t\t}\n\n\t\tconst registered = await this.listFields();\n\t\tconst registeredSlugs = registered.map((f) => f.slug).toSorted();\n\t\tconst inputSlugs = slugs.toSorted();\n\n\t\tif (registeredSlugs.length !== inputSlugs.length) {\n\t\t\tthrow new BylineSchemaError(\n\t\t\t\t`Reorder input has ${inputSlugs.length} slug(s); ${registeredSlugs.length} registered`,\n\t\t\t\t\"REORDER_MISMATCH\",\n\t\t\t\t{ registered: registeredSlugs, input: inputSlugs },\n\t\t\t);\n\t\t}\n\t\tfor (let i = 0; i < registeredSlugs.length; i++) {\n\t\t\tif (registeredSlugs[i] !== inputSlugs[i]) {\n\t\t\t\tthrow new BylineSchemaError(\n\t\t\t\t\t\"Reorder input does not match the registered field set\",\n\t\t\t\t\t\"REORDER_MISMATCH\",\n\t\t\t\t\t{ registered: registeredSlugs, input: inputSlugs },\n\t\t\t\t);\n\t\t\t}\n\t\t}\n\n\t\tconst now = new Date().toISOString();\n\t\tawait this.markVersionDirty();\n\t\tawait withTransaction(this.db, async (trx) => {\n\t\t\tfor (let i = 0; i < slugs.length; i++) {\n\t\t\t\tconst slug = slugs[i];\n\t\t\t\tif (slug === undefined) continue;\n\t\t\t\tawait trx\n\t\t\t\t\t.updateTable(\"_emdash_byline_fields\")\n\t\t\t\t\t.set({ sort_order: i, updated_at: now })\n\t\t\t\t\t.where(\"slug\", \"=\", slug)\n\t\t\t\t\t.execute();\n\t\t\t}\n\t\t});\n\t\tawait this.markVersionClean();\n\t}\n\n\t/**\n\t * Per-table usage counts for a field, plus the sum. Backs the\n\t * destructive-delete confirm dialog in the admin UI (Phase 5).\n\t *\n\t * Both counts are surfaced separately for diagnostic value: a\n\t * non-zero count on the table that doesn't match the field's current\n\t * `translatable` flag indicates historical drift (e.g. a flip from\n\t * an older code path). Today the registry rejects such flips with\n\t * `TRANSLATABLE_LOCKED`, so any drift originates pre-Phase-2.\n\t *\n\t * Throws `FIELD_NOT_FOUND` when the slug doesn't resolve — callers\n\t * shouldn't get back zero counts for a missing field.\n\t */\n\tasync getFieldUsage(slug: string): Promise<{\n\t\ttranslatableValueCount: number;\n\t\tgroupValueCount: number;\n\t\ttotalAffectedRows: number;\n\t}> {\n\t\tconst field = await this.getField(slug);\n\t\tif (!field) {\n\t\t\tthrow new BylineSchemaError(`Byline field \"${slug}\" not found`, \"FIELD_NOT_FOUND\", {\n\t\t\t\tslug,\n\t\t\t});\n\t\t}\n\t\tconst tr = await this.db\n\t\t\t.selectFrom(\"_emdash_byline_field_values\")\n\t\t\t.select(({ fn }) => [fn.count<number>(\"field_id\").as(\"count\")])\n\t\t\t.where(\"field_id\", \"=\", field.id)\n\t\t\t.executeTakeFirst();\n\t\tconst grp = await this.db\n\t\t\t.selectFrom(\"_emdash_byline_field_group_values\")\n\t\t\t.select(({ fn }) => [fn.count<number>(\"field_id\").as(\"count\")])\n\t\t\t.where(\"field_id\", \"=\", field.id)\n\t\t\t.executeTakeFirst();\n\t\tconst translatableValueCount = Number(tr?.count ?? 0);\n\t\tconst groupValueCount = Number(grp?.count ?? 0);\n\t\treturn {\n\t\t\ttranslatableValueCount,\n\t\t\tgroupValueCount,\n\t\t\ttotalAffectedRows: translatableValueCount + groupValueCount,\n\t\t};\n\t}\n\n\t/**\n\t * Read the persisted version counter. Used by the field-defs cache\n\t * (Phase 3) to detect invalidation. Returns `0` when the row is\n\t * missing — covers the \"tests that didn't run migration 041\" case\n\t * without throwing.\n\t */\n\tasync getVersion(): Promise<number> {\n\t\tconst row = await this.db\n\t\t\t.selectFrom(\"options\")\n\t\t\t.select(\"value\")\n\t\t\t.where(\"name\", \"=\", VERSION_KEY)\n\t\t\t.executeTakeFirst();\n\t\tif (!row) return 0;\n\t\tconst parsed = Number.parseInt(row.value, 10);\n\t\treturn Number.isFinite(parsed) ? parsed : 0;\n\t}\n\n\t// ============================================\n\t// Private helpers\n\t// ============================================\n\n\t/**\n\t * Force the version counter to an odd integer (\"dirty\"). Idempotent\n\t * on odd so a crashed prior attempt can't invert parity. Upsert (not\n\t * UPDATE) so a missing row still flips parity — `getVersion` returns\n\t * 0 on missing, which is even, so a bare UPDATE would leave the\n\t * cache pinned on a stale snapshot. See the class JSDoc.\n\t *\n\t * `options.value` qualified: PG's `ON CONFLICT DO UPDATE` puts both\n\t * the target and `EXCLUDED.value` in scope; bare `value` is ambiguous.\n\t */\n\tprivate async markVersionDirty(): Promise<void> {\n\t\tawait sql`\n\t\t\tINSERT INTO options (name, value)\n\t\t\tVALUES (${VERSION_KEY}, '1')\n\t\t\tON CONFLICT(name) DO UPDATE SET value = CASE\n\t\t\t\tWHEN CAST(options.value AS INTEGER) % 2 = 0\n\t\t\t\t\tTHEN CAST(CAST(options.value AS INTEGER) + 1 AS TEXT)\n\t\t\t\tELSE options.value\n\t\t\tEND\n\t\t`.execute(this.db);\n\t}\n\n\t/**\n\t * Force the version counter to a **new** even integer (+2 from even,\n\t * +1 from odd). Always-advance — never a no-op — so two concurrent\n\t * mutators can't collapse on the same even key and pin a stale cache\n\t * snapshot. See the class JSDoc for the concurrent-collapse rationale.\n\t *\n\t * `options.value` qualified — see `markVersionDirty`.\n\t */\n\tprivate async markVersionClean(): Promise<void> {\n\t\tawait sql`\n\t\t\tINSERT INTO options (name, value)\n\t\t\tVALUES (${VERSION_KEY}, '2')\n\t\t\tON CONFLICT(name) DO UPDATE SET value = CASE\n\t\t\t\tWHEN CAST(options.value AS INTEGER) % 2 = 0\n\t\t\t\t\tTHEN CAST(CAST(options.value AS INTEGER) + 2 AS TEXT)\n\t\t\t\tELSE CAST(CAST(options.value AS INTEGER) + 1 AS TEXT)\n\t\t\tEND\n\t\t`.execute(this.db);\n\t}\n\n\tprivate async nextSortOrder(): Promise<number> {\n\t\tconst row = await this.db\n\t\t\t.selectFrom(\"_emdash_byline_fields\")\n\t\t\t.select(({ fn }) => [fn.max<number | null>(\"sort_order\").as(\"max\")])\n\t\t\t.executeTakeFirst();\n\t\tconst max = row?.max ?? null;\n\t\treturn max === null ? 0 : max + 1;\n\t}\n\n\tprivate async countFieldValues(fieldId: string): Promise<number> {\n\t\t// Count both per-locale and group-shared values. A field can only\n\t\t// store in one table at a time (translatable picks), but historic\n\t\t// rows might exist in the other if a prior version of this code\n\t\t// allowed the flip — count both to be safe.\n\t\tconst tr = await this.db\n\t\t\t.selectFrom(\"_emdash_byline_field_values\")\n\t\t\t.select(({ fn }) => [fn.count<number>(\"field_id\").as(\"count\")])\n\t\t\t.where(\"field_id\", \"=\", fieldId)\n\t\t\t.executeTakeFirst();\n\t\tconst grp = await this.db\n\t\t\t.selectFrom(\"_emdash_byline_field_group_values\")\n\t\t\t.select(({ fn }) => [fn.count<number>(\"field_id\").as(\"count\")])\n\t\t\t.where(\"field_id\", \"=\", fieldId)\n\t\t\t.executeTakeFirst();\n\t\treturn Number(tr?.count ?? 0) + Number(grp?.count ?? 0);\n\t}\n\n\tprivate validateSlug(slug: string): void {\n\t\tif (!slug || typeof slug !== \"string\") {\n\t\t\tthrow new BylineSchemaError(\"Byline field slug is required\", \"INVALID_SLUG\", { slug });\n\t\t}\n\t\tif (slug.length > MAX_SLUG_LENGTH) {\n\t\t\tthrow new BylineSchemaError(\n\t\t\t\t`Byline field slug must be ${MAX_SLUG_LENGTH} characters or less`,\n\t\t\t\t\"INVALID_SLUG\",\n\t\t\t\t{ slug },\n\t\t\t);\n\t\t}\n\t\t// `validateIdentifier` enforces /^[a-z][a-z0-9_]*$/ — rejects\n\t\t// camelCase, PascalCase, hyphens, leading digits, and identifiers\n\t\t// over 128 characters. We hit the 63-char cap above first, which\n\t\t// matches the content-collection slug cap.\n\t\ttry {\n\t\t\tvalidateIdentifier(slug, \"byline field slug\");\n\t\t} catch (error) {\n\t\t\tthrow new BylineSchemaError(\n\t\t\t\terror instanceof Error ? error.message : \"Invalid byline field slug\",\n\t\t\t\t\"INVALID_SLUG\",\n\t\t\t\t{ slug },\n\t\t\t);\n\t\t}\n\t\tif (RESERVED_SET.has(slug)) {\n\t\t\tthrow new BylineSchemaError(`Byline field slug \"${slug}\" is reserved`, \"RESERVED_SLUG\", {\n\t\t\t\tslug,\n\t\t\t});\n\t\t}\n\t}\n\n\tprivate validateLabel(label: string): void {\n\t\tif (!label || typeof label !== \"string\") {\n\t\t\tthrow new BylineSchemaError(\"Byline field label is required\", \"INVALID_LABEL\", {\n\t\t\t\tlabel,\n\t\t\t});\n\t\t}\n\t\tif (label.length > MAX_LABEL_LENGTH) {\n\t\t\tthrow new BylineSchemaError(\n\t\t\t\t`Byline field label must be ${MAX_LABEL_LENGTH} characters or less`,\n\t\t\t\t\"INVALID_LABEL\",\n\t\t\t\t{ length: label.length },\n\t\t\t);\n\t\t}\n\t}\n\n\tprivate validateType(type: BylineFieldType): void {\n\t\tif (!TYPE_SET.has(type)) {\n\t\t\tthrow new BylineSchemaError(\n\t\t\t\t`Byline field type \"${type}\" is not supported. Valid types: ${[...TYPE_SET].join(\", \")}`,\n\t\t\t\t\"INVALID_TYPE\",\n\t\t\t\t{ type },\n\t\t\t);\n\t\t}\n\t}\n\n\t/**\n\t * Normalise + validate a validation payload for a given field type.\n\t *\n\t * - `select`: `options` is required, must be a non-empty array of unique\n\t *   non-empty strings, capped at `MAX_SELECT_OPTIONS`.\n\t * - any other type: `options` is silently dropped if present (a future\n\t *   field type might use it, but v1 doesn't).\n\t *\n\t * Returns `null` when the resulting validation object is empty, so the\n\t * storage column stays NULL rather than carrying `'{}'`.\n\t */\n\tprivate normaliseValidation(\n\t\ttype: BylineFieldType,\n\t\tvalidation: BylineFieldValidation | null,\n\t): BylineFieldValidation | null {\n\t\tif (type === \"select\") {\n\t\t\tconst options = validation?.options;\n\t\t\tif (!Array.isArray(options) || options.length === 0) {\n\t\t\t\tthrow new BylineSchemaError(\n\t\t\t\t\t`Byline field of type \"select\" requires non-empty \"validation.options\"`,\n\t\t\t\t\t\"INVALID_VALIDATION\",\n\t\t\t\t\t{ type },\n\t\t\t\t);\n\t\t\t}\n\t\t\tif (options.length > MAX_SELECT_OPTIONS) {\n\t\t\t\tthrow new BylineSchemaError(\n\t\t\t\t\t`Byline field \"select\" cannot have more than ${MAX_SELECT_OPTIONS} options`,\n\t\t\t\t\t\"INVALID_VALIDATION\",\n\t\t\t\t\t{ count: options.length },\n\t\t\t\t);\n\t\t\t}\n\t\t\tconst seen = new Set<string>();\n\t\t\tfor (const option of options) {\n\t\t\t\tif (typeof option !== \"string\" || option.length === 0) {\n\t\t\t\t\tthrow new BylineSchemaError(\n\t\t\t\t\t\t`Byline field \"select\" options must be non-empty strings`,\n\t\t\t\t\t\t\"INVALID_VALIDATION\",\n\t\t\t\t\t\t{ option },\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t\tif (seen.has(option)) {\n\t\t\t\t\tthrow new BylineSchemaError(\n\t\t\t\t\t\t`Byline field \"select\" options must be unique`,\n\t\t\t\t\t\t\"INVALID_VALIDATION\",\n\t\t\t\t\t\t{ option },\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t\tseen.add(option);\n\t\t\t}\n\t\t\treturn { options };\n\t\t}\n\n\t\tif (validation == null) return null;\n\t\t// Non-select: drop `options` if present. Strip nothing else — future\n\t\t// field types might extend the shape and we don't want to lose\n\t\t// payload silently. Today's `BylineFieldValidation` is `{ options? }`\n\t\t// only, so this branch is a pass-through; left explicit for clarity.\n\t\tconst { options: _drop, ...rest } = validation;\n\t\treturn Object.keys(rest).length === 0 ? null : rest;\n\t}\n}\n\nfunction mapFieldRow(row: {\n\tid: string;\n\tslug: string;\n\tlabel: string;\n\ttype: string;\n\trequired: number;\n\ttranslatable: number;\n\tvalidation: string | null;\n\tsort_order: number;\n\tcreated_at: string;\n\tupdated_at: string;\n}): BylineFieldDefinition {\n\treturn {\n\t\tid: row.id,\n\t\tslug: row.slug,\n\t\tlabel: row.label,\n\t\t// `type` is stored as TEXT but `createField` rejects anything outside\n\t\t// `BYLINE_FIELD_TYPES` before inserting. The assertion narrows on\n\t\t// that write-time guarantee.\n\t\t// eslint-disable-next-line typescript/no-unsafe-type-assertion -- validated at write\n\t\ttype: row.type as BylineFieldType,\n\t\trequired: row.required === 1,\n\t\ttranslatable: row.translatable === 1,\n\t\t// `validation` is JSON-encoded `BylineFieldValidation | null`, written\n\t\t// only through `normaliseValidation`. The cast matches the\n\t\t// `JSON.parse(...) as T` pattern in `OptionsRepository`.\n\t\t// eslint-disable-next-line typescript/no-unsafe-type-assertion -- validated at write\n\t\tvalidation: row.validation ? (JSON.parse(row.validation) as BylineFieldValidation) : null,\n\t\tsortOrder: row.sort_order,\n\t\tcreatedAt: row.created_at,\n\t\tupdatedAt: row.updated_at,\n\t};\n}\n\n// Re-export the table type for callers that want to spell it explicitly.\n// Most callers should rely on the Database interface; this is convenience\n// for tests that hand-roll Kysely queries.\nexport type { BylineFieldTable 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