d3ro-voice/server/supabase/functions/embed-chunks/handler.ts

178 lines
6.7 KiB
TypeScript

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