Files
accounted/extensions/general/document-extraction/index.ts
T
Jakob Wennberg ec27228a8e style: remove em/en dashes repo-wide, add CLAUDE.md rule against them (#890)
Em dashes (—) and en dashes (–) had spread across comments, docs, tests,
and a few UI strings, reading as AI-generated boilerplate rather than
house style. Replaced each with punctuation matching its context: colon
for explanatory clauses, comma for asides, plain hyphen for numeric/legal
ranges (e.g. "21-23§"), "to"/"till" for date ranges, parentheses for
paired-dash asides. messages/en.json and messages/sv.json were fixed by
hand together to keep sv/en in sync.

Left untouched where the dash is the functional subject rather than
decorative punctuation: date-range-parser.ts's separator regex,
charset-repair.ts's CP1252 byte-mapping table (and its test), the SIE
encoding mojibake docs, generic-csv.ts's minus-sign normalizer, the
agent system-prompt files that already instruct against em dashes, and
a golden iXBRL test fixture compared byte-for-byte.

Also fixes two bugs surfaced along the way: an off-by-one in
ApiKeysPanel's scope-label split (a leftover from an earlier partial
pass), and a charset-repair test that had lost the literal en-dash it
exists to verify.

Regenerated the agent atom seed migration (skills:generate) since 27
SKILL.md files changed. Added a CLAUDE.md rule against em/en dashes,
with an explicit carve-out for the functional-dash cases above.

Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-04 15:58:06 +02:00

204 lines
7.1 KiB
TypeScript

import type { Extension } from '@/lib/extensions/types'
import type { SupabaseClient } from '@supabase/supabase-js'
import { extractInvoiceFields } from '@/extensions/general/invoice-inbox/lib/extract-invoice-fields'
import { hasCapability } from '@/lib/entitlements/has-capability'
import { CAPABILITY } from '@/lib/entitlements/keys'
import { createLogger } from '@/lib/logger'
import { createServiceClient } from '@/lib/supabase/server'
import type { DocumentAttachment } from '@/types'
const log = createLogger('document-extraction')
// Mime types we know Claude can read directly via Bedrock. Anything else
// (HEIC, ZIP, TXT, …) is skipped: extracted_at still gets stamped so the
// row is marked as "attempted, not eligible".
const SUPPORTED_MIME_TYPES = new Set([
'application/pdf',
'image/jpeg',
'image/png',
'image/webp',
'image/gif',
])
// AI-extraction extension: paid AI tier only.
//
// Subscribes to the existing document.uploaded event bus topic and runs
// Sonnet 4.6 (via Bedrock, reusing invoice-inbox's extractInvoiceFields) on
// every uploaded receipt or invoice. Writes the result to
// document_attachments.extracted_data so the agent intent capture can use
// it without re-asking the user.
//
// Idempotency: skips when extracted_at is already set on the row. Also
// dedupes against invoice_inbox_items.extracted_data: when the inbox
// extension already extracted the same file, we copy its result instead
// of paying for a second Sonnet call.
//
// Free tier: disable this extension in extensions.config.json. Uploads
// still work; the agent intent will see null extracted_data and either
// ask the user or call gnubok_get_document_content at chat-time.
//
// See dev_docs/specialized-agent-plan.md (§ paid/free tier note): to be
// authored.
export const documentExtractionExtension: Extension = {
id: 'document-extraction',
name: 'AI document extraction',
version: '1.0.0',
eventHandlers: [
{
eventType: 'document.uploaded',
handler: async (payload) => {
const { document, companyId } = payload as {
document: DocumentAttachment
userId: string
companyId: string
}
await extractAndPersist(document, companyId)
},
},
],
}
async function extractAndPersist(
document: DocumentAttachment,
companyId: string,
): Promise<void> {
// Service-role client: the handler runs out-of-band of the request that
// emitted the event, so we don't have user cookies. RLS doesn't fit:
// events have no user context.
const supabase: SupabaseClient = createServiceClient()
// Idempotency guard: never re-extract a row that already has extracted_at.
// Note: the column may be null OR the row may not yet have the new
// schema (legacy supabase types). Fail closed on missing schema.
const { data: existing, error: existingErr } = await supabase
.from('document_attachments')
.select('id, mime_type, storage_path, extracted_at')
.eq('id', document.id)
.single()
if (existingErr || !existing) {
log.warn('document not found, skipping extraction', {
doc: document.id,
err: existingErr?.message,
})
return
}
if (existing.extracted_at) {
return
}
// Dedup against inbox: if invoice-inbox already extracted this exact file
// (same document_id), copy its result to avoid a second AI call. If the
// inbox row marked the upload as skip_extraction=true, the inbox row's
// extracted_data is an empty skeleton: we must stamp the doc with a
// 'skipped:*' model so the client-side useDocumentExtraction hook reports
// 'unsupported' rather than 'succeeded' (otherwise the UI would claim AI
// finished reading a doc it never opened).
const { data: inboxRow } = await supabase
.from('invoice_inbox_items')
.select('extracted_data, extraction_skipped')
.eq('document_id', document.id)
.maybeSingle()
if (inboxRow?.extraction_skipped) {
await supabase
.from('document_attachments')
.update({
extracted_at: new Date().toISOString(),
extraction_model: 'skipped:invoice_inbox_gate',
})
.eq('id', document.id)
return
}
let extractedData: Record<string, unknown> | null = null
let model: string = 'copied-from-invoice-inbox'
if (inboxRow?.extracted_data) {
extractedData = inboxRow.extracted_data as Record<string, unknown>
} else {
const mimeType = existing.mime_type as string | null
if (!mimeType || !SUPPORTED_MIME_TYPES.has(mimeType)) {
// Stamp the attempt so we don't keep retrying unsupported types.
await supabase
.from('document_attachments')
.update({ extracted_at: new Date().toISOString(), extraction_model: 'skipped:unsupported_mime' })
.eq('id', document.id)
return
}
// Download the file from Supabase Storage. The bucket is private: the
// service-role client can read any path.
const storagePath = existing.storage_path as string | null
if (!storagePath) {
log.warn('document has no storage_path, skipping', { doc: document.id })
return
}
const { data: blob, error: dlErr } = await supabase.storage
.from('documents')
.download(storagePath)
if (dlErr || !blob) {
log.warn('storage download failed', { doc: document.id, err: dlErr?.message })
return
}
const buffer = Buffer.from(await blob.arrayBuffer())
if (!(await hasCapability(supabase, companyId, CAPABILITY.ai))) {
log.info('extraction skipped, ai capability not entitled', { doc: document.id, companyId })
return
}
try {
const { data, rawText } = await extractInvoiceFields({
buffer,
mimeType,
fileName: (document.file_name as string) || 'document',
})
// extractInvoiceFields returns an "empty" result on failure rather
// than throwing: distinguish by checking rawText. When rawText is
// null, the call was skipped (creds missing, unsupported type) or
// the JSON parse failed.
if (!rawText) {
await supabase
.from('document_attachments')
.update({
extracted_at: new Date().toISOString(),
extraction_model: 'failed:no_raw_text',
})
.eq('id', document.id)
return
}
extractedData = data as unknown as Record<string, unknown>
model = process.env.BEDROCK_MODEL_ID || 'eu.anthropic.claude-sonnet-4-6'
} catch (err) {
log.warn('extraction threw', {
doc: document.id,
err: err instanceof Error ? err.message : String(err),
})
await supabase
.from('document_attachments')
.update({
extracted_at: new Date().toISOString(),
extraction_model: 'failed:exception',
})
.eq('id', document.id)
return
}
}
const { error: updateErr } = await supabase
.from('document_attachments')
.update({
extracted_data: extractedData,
extracted_at: new Date().toISOString(),
extraction_model: model,
})
.eq('id', document.id)
if (updateErr) {
log.warn('persist failed', { doc: document.id, err: updateErr.message, companyId })
return
}
log.info('extraction persisted', { doc: document.id, model, companyId })
}