178 lines
6.7 KiB
TypeScript
178 lines
6.7 KiB
TypeScript
// server/supabase/functions/embed-chunks/handler.ts
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// Use case: embed a document's pending knowledge chunks.
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// IO is injected through ports (auth, knowledge store, embedding provider,
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// usage store) so the size and quota guards are testable without Supabase or
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// OpenAI. index.ts wires the real adapters.
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import { handleCorsPreflightRequest } from '../_shared/cors.ts'
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import { errorResponse, jsonResponse as json } from '../_shared/json-response.ts'
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import { type EmbeddingProvider, isEmbedding } from '../_shared/openai-embeddings.ts'
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import {
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EMBEDDING_LIMITS,
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type EmbeddingReservation,
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type EmbeddingUsageStore,
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embeddingUnits,
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firstOversizedChunk,
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planEmbeddingBatches,
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quotaExceededBody,
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refundEmbeddingUnits,
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reserveEmbeddingUnits,
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} from '../_shared/embedding-quota.ts'
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const UUID_PATTERN = /^[0-9a-f]{8}-[0-9a-f]{4}-[1-5][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$/i
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export interface KnowledgeChunkRow {
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id: string
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content: string
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}
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/** Thrown by a KnowledgeIndexStore when the database call fails. */
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export class KnowledgeStorageError extends Error {
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constructor() {
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super('knowledge_storage_failed')
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}
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}
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/** Port over knowledge_documents / knowledge_chunks. Read methods throw KnowledgeStorageError. */
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export interface KnowledgeIndexStore {
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/** Owner of the document, or null when it does not exist. */
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documentOwner(documentId: string): Promise<string | null>
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/** Exact row count, or null when the database returned no count. */
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countChunks(documentId: string, pendingOnly: boolean): Promise<number | null>
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listPendingChunks(documentId: string, limit: number): Promise<KnowledgeChunkRow[]>
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/** Returns false when the write failed. */
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saveEmbedding(documentId: string, chunkId: string, embedding: number[]): Promise<boolean>
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/** Clear the indexed flag. With a userId the update is scoped to that owner. Returns false on failure. */
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clearIndexed(documentId: string, userId: string | null): Promise<boolean>
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/** Set the indexed flag. Returns false when the write failed or matched no row. */
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markIndexed(documentId: string, userId: string): Promise<boolean>
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}
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export interface EmbedChunksDeps {
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authenticate(req: Request): Promise<{ id: string }>
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/** null when the provider key is not configured. */
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embeddingProvider(): EmbeddingProvider | null
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knowledgeStore(): KnowledgeIndexStore
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usageStore(): EmbeddingUsageStore
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now?(): Date
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}
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async function embedBatch(
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provider: EmbeddingProvider,
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store: KnowledgeIndexStore,
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documentId: string,
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batch: KnowledgeChunkRow[],
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): Promise<number> {
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const outcome = await provider.embed(batch.map((chunk) => chunk.content))
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if (!outcome.ok || outcome.data.length !== batch.length) return 0
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const received = new Set<number>()
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let saved = 0
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for (const item of outcome.data) {
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if (
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typeof item.index !== 'number'
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|| !Number.isInteger(item.index)
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|| item.index < 0
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|| item.index >= batch.length
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|| received.has(item.index)
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|| !isEmbedding(item.embedding)
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) {
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continue
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}
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received.add(item.index)
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if (await store.saveEmbedding(documentId, batch[item.index].id, item.embedding)) saved += 1
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}
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return saved
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}
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export function createEmbedChunksHandler(deps: EmbedChunksDeps): (req: Request) => Promise<Response> {
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const now = () => deps.now?.() ?? new Date()
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return async (req: Request): Promise<Response> => {
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const preflight = handleCorsPreflightRequest(req)
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if (preflight) return preflight
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if (req.method !== 'POST') return json(405, { error: 'method_not_allowed' })
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try {
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const user = await deps.authenticate(req)
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const body = await req.json().catch(() => null) as { document_id?: unknown } | null
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if (!body || typeof body.document_id !== 'string' || !UUID_PATTERN.test(body.document_id)) {
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return json(400, { error: 'invalid_document_id' })
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}
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const documentId = body.document_id
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const provider = deps.embeddingProvider()
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if (!provider) return json(503, { error: 'embedding_provider_unavailable' })
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const store = deps.knowledgeStore()
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const owner = await store.documentOwner(documentId)
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if (owner !== user.id) return json(404, { error: 'knowledge_document_not_found' })
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const total = await store.countChunks(documentId, false) ?? 0
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if (total === 0) {
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await store.clearIndexed(documentId, null)
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return json(409, { error: 'knowledge_document_empty' })
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}
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if (total > EMBEDDING_LIMITS.maxChunksPerDocument) {
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return json(413, {
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error: 'knowledge_document_too_large',
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total,
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max_chunks: EMBEDDING_LIMITS.maxChunksPerDocument,
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})
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}
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const chunks = await store.listPendingChunks(documentId, EMBEDDING_LIMITS.maxChunksPerDocument)
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const oversized = firstOversizedChunk(chunks)
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if (oversized !== -1) {
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return json(413, {
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error: 'knowledge_chunk_too_large',
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chunk_id: chunks[oversized].id,
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max_chars: EMBEDDING_LIMITS.maxChunkChars,
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})
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}
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// Reserve the whole run before the first paid call; unspent units are refunded.
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const usage = deps.usageStore()
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const units = embeddingUnits(chunks.map((chunk) => chunk.content))
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let reservation: EmbeddingReservation
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try {
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reservation = await reserveEmbeddingUnits(usage, user.id, units, now())
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} catch {
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return json(503, { error: 'quota_unavailable' })
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}
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if (!reservation.allowed) return json(429, quotaExceededBody(reservation, units))
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let embedded = 0
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let failed = 0
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let unspentUnits = 0
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for (const batch of planEmbeddingBatches(chunks)) {
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let saved = 0
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try {
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saved = await embedBatch(provider, store, documentId, batch)
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} catch {
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saved = 0
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}
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embedded += saved
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failed += batch.length - saved
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if (saved === 0) unspentUnits += embeddingUnits(batch.map((chunk) => chunk.content))
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}
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await refundEmbeddingUnits(usage, user.id, reservation, unspentUnits, now())
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const remaining = await store.countChunks(documentId, true) ?? total
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if (failed > 0 || remaining > 0) {
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if (!await store.clearIndexed(documentId, user.id)) {
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return json(500, { error: 'knowledge_storage_failed' })
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}
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return json(502, { error: 'embedding_failed', embedded, remaining })
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}
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if (!await store.markIndexed(documentId, user.id)) {
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return json(500, { error: 'knowledge_storage_failed' })
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}
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return json(200, { embedded, total, indexed: true })
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} catch (error) {
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if (error instanceof KnowledgeStorageError) return json(500, { error: 'knowledge_storage_failed' })
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return errorResponse(error)
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}
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}
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}
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