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exclaim-recovery-database

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Shared database schemas for Exclaim Recovery platform

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"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); exports.blogDocument = exports.gaReflectionDocument = exports.gaResourceDocument = exports.gaStepDocument = exports.scientificStudyDocument = exports.smartRecoveryDocument = exports.userDocument = exports.document = void 0; const pg_core_1 = require("drizzle-orm/pg-core"); const drizzle_orm_1 = require("drizzle-orm"); exports.document = (0, pg_core_1.pgTable)("Document", { id: (0, pg_core_1.text)().primaryKey().notNull(), content: (0, pg_core_1.text)().notNull(), metadata: (0, pg_core_1.jsonb)(), createdAt: (0, pg_core_1.timestamp)({ precision: 3, mode: 'string' }).default((0, drizzle_orm_1.sql) `CURRENT_TIMESTAMP`).notNull(), vector: (0, pg_core_1.vector)({ dimensions: 1536 }).notNull(), }, (table) => [ (0, pg_core_1.index)("document_vector_idx").using("hnsw", table.vector.asc().nullsLast().op("vector_cosine_ops")), ]); exports.userDocument = (0, pg_core_1.pgTable)("UserDocument", { id: (0, pg_core_1.text)().primaryKey().notNull(), userId: (0, pg_core_1.text)().notNull(), documentId: (0, pg_core_1.text)().notNull(), createdAt: (0, pg_core_1.timestamp)({ precision: 3, mode: 'string' }).default((0, drizzle_orm_1.sql) `CURRENT_TIMESTAMP`).notNull(), metadata: (0, pg_core_1.jsonb)(), vector: (0, pg_core_1.vector)({ dimensions: 1536 }).notNull(), }, (table) => [ (0, pg_core_1.index)("UserDocument_userId_idx").using("btree", table.userId.asc().nullsLast().op("text_ops")), (0, pg_core_1.index)("user_document_userId_idx").using("btree", table.userId.asc().nullsLast().op("text_ops")), (0, pg_core_1.index)("user_document_vector_idx").using("hnsw", table.vector.asc().nullsLast().op("vector_cosine_ops")), ]); exports.smartRecoveryDocument = (0, pg_core_1.pgTable)("SMARTRecoveryDocument", { id: (0, pg_core_1.text)().primaryKey().notNull(), content: (0, pg_core_1.text)().notNull(), metadata: (0, pg_core_1.jsonb)(), createdAt: (0, pg_core_1.timestamp)({ precision: 3, mode: 'string' }).default((0, drizzle_orm_1.sql) `CURRENT_TIMESTAMP`).notNull(), vector: (0, pg_core_1.vector)({ dimensions: 1536 }).notNull(), }, (table) => [ (0, pg_core_1.index)("smart_recovery_vector_idx").using("hnsw", table.vector.asc().nullsLast().op("vector_cosine_ops")), (0, pg_core_1.index)("smartrecoverydocument_vector_idx").using("hnsw", table.vector.asc().nullsLast().op("vector_cosine_ops")), ]); exports.scientificStudyDocument = (0, pg_core_1.pgTable)("ScientificStudyDocument", { id: (0, pg_core_1.text)().primaryKey().notNull(), title: (0, pg_core_1.text)(), abstract: (0, pg_core_1.text)(), content: (0, pg_core_1.text)().notNull(), authors: (0, pg_core_1.text)().array(), publicationYear: (0, pg_core_1.integer)(), journal: (0, pg_core_1.text)(), doi: (0, pg_core_1.text)(), metadata: (0, pg_core_1.jsonb)(), createdAt: (0, pg_core_1.timestamp)({ precision: 3, mode: 'string' }).default((0, drizzle_orm_1.sql) `CURRENT_TIMESTAMP`).notNull(), vector: (0, pg_core_1.vector)({ dimensions: 1536 }).notNull(), }, (table) => [ (0, pg_core_1.index)("scientific_study_vector_idx").using("hnsw", table.vector.asc().nullsLast().op("vector_cosine_ops")), (0, pg_core_1.index)("scientificstudydocument_vector_idx").using("hnsw", table.vector.asc().nullsLast().op("vector_cosine_ops")), ]); exports.gaStepDocument = (0, pg_core_1.pgTable)("GAStepDocument", { id: (0, pg_core_1.uuid)().defaultRandom().primaryKey().notNull(), stepNumber: (0, pg_core_1.integer)().notNull(), title: (0, pg_core_1.text)().notNull(), description: (0, pg_core_1.text)().notNull(), detailedContent: (0, pg_core_1.text)().notNull(), reflectionPrompts: (0, pg_core_1.text)().array(), commonChallenges: (0, pg_core_1.text)().array(), milestoneNames: (0, pg_core_1.text)().array(), metadata: (0, pg_core_1.jsonb)(), createdAt: (0, pg_core_1.timestamp)({ mode: 'string' }).default((0, drizzle_orm_1.sql) `CURRENT_TIMESTAMP`), updatedAt: (0, pg_core_1.timestamp)({ mode: 'string' }).default((0, drizzle_orm_1.sql) `CURRENT_TIMESTAMP`), vector: (0, pg_core_1.vector)({ dimensions: 1536 }), }, (table) => [ (0, pg_core_1.index)("ga_step_number_idx").using("btree", table.stepNumber.asc().nullsLast().op("int4_ops")), (0, pg_core_1.index)("ga_step_vector_idx").using("hnsw", table.vector.asc().nullsLast().op("vector_cosine_ops")), ]); exports.gaResourceDocument = (0, pg_core_1.pgTable)("GAResourceDocument", { id: (0, pg_core_1.uuid)().defaultRandom().primaryKey().notNull(), stepNumber: (0, pg_core_1.integer)(), title: (0, pg_core_1.text)().notNull(), type: (0, pg_core_1.text)().notNull(), url: (0, pg_core_1.text)(), content: (0, pg_core_1.text)(), metadata: (0, pg_core_1.jsonb)(), createdAt: (0, pg_core_1.timestamp)({ mode: 'string' }).default((0, drizzle_orm_1.sql) `CURRENT_TIMESTAMP`), vector: (0, pg_core_1.vector)({ dimensions: 1536 }), }, (table) => [ (0, pg_core_1.index)("ga_resource_step_idx").using("btree", table.stepNumber.asc().nullsLast().op("int4_ops")), (0, pg_core_1.index)("ga_resource_type_idx").using("btree", table.type.asc().nullsLast().op("text_ops")), (0, pg_core_1.index)("ga_resource_vector_idx").using("hnsw", table.vector.asc().nullsLast().op("vector_cosine_ops")), ]); exports.gaReflectionDocument = (0, pg_core_1.pgTable)("GAReflectionDocument", { id: (0, pg_core_1.uuid)().defaultRandom().primaryKey().notNull(), userId: (0, pg_core_1.text)().notNull(), stepNumber: (0, pg_core_1.integer)().notNull(), content: (0, pg_core_1.text)().notNull(), isPrivate: (0, pg_core_1.boolean)().default(false), tags: (0, pg_core_1.text)().array(), createdAt: (0, pg_core_1.timestamp)({ mode: 'string' }).default((0, drizzle_orm_1.sql) `CURRENT_TIMESTAMP`), updatedAt: (0, pg_core_1.timestamp)({ mode: 'string' }).default((0, drizzle_orm_1.sql) `CURRENT_TIMESTAMP`), vector: (0, pg_core_1.vector)({ dimensions: 1536 }), }, (table) => [ (0, pg_core_1.index)("ga_reflection_step_idx").using("btree", table.stepNumber.asc().nullsLast().op("int4_ops")), (0, pg_core_1.index)("ga_reflection_user_idx").using("btree", table.userId.asc().nullsLast().op("text_ops")), (0, pg_core_1.index)("ga_reflection_vector_idx").using("hnsw", table.vector.asc().nullsLast().op("vector_cosine_ops")), ]); exports.blogDocument = (0, pg_core_1.pgTable)("BlogDocument", { id: (0, pg_core_1.uuid)().defaultRandom().primaryKey().notNull(), title: (0, pg_core_1.text)().notNull(), content: (0, pg_core_1.text)().notNull(), authorId: (0, pg_core_1.text)().notNull(), published: (0, pg_core_1.boolean)().default(false), tags: (0, pg_core_1.text)().array(), coverImage: (0, pg_core_1.text)(), createdAt: (0, pg_core_1.timestamp)({ mode: 'string' }).default((0, drizzle_orm_1.sql) `CURRENT_TIMESTAMP`), updatedAt: (0, pg_core_1.timestamp)({ mode: 'string' }).default((0, drizzle_orm_1.sql) `CURRENT_TIMESTAMP`), metadata: (0, pg_core_1.jsonb)(), vector: (0, pg_core_1.vector)({ dimensions: 1536 }), }, (table) => [ (0, pg_core_1.index)("blog_author_idx").using("btree", table.authorId.asc().nullsLast().op("text_ops")), (0, pg_core_1.index)("blog_published_idx").using("btree", table.published.asc().nullsLast().op("bool_ops")), (0, pg_core_1.index)("blog_vector_idx").using("hnsw", table.vector.asc().nullsLast().op("vector_cosine_ops")), ]); 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