5352d49ecfa51a47ef65fc65fc62e0dd0db54b3d
4
Commits
| Author | SHA1 | Message | Date | |
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 rmancinas
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3125b52057 |
feat(ocr): discard abandoned capture batches
A bad scan, the wrong PDFs or a duplicate upload used to leave a batch sitting in READY_FOR_REVIEW forever, because the only exits were confirm (posts to the books) or rejecting every page one at a time. Add a DISCARDED terminal status to both OCR domains and a single endpoint per domain that rejects every page still pending in one shot. Discarding is refused once anything has landed: statements once a page is POSTED, policies once a page is APPLIED. Those batches did real work and have to be settled page by page. - POST /statements/batches/:id/discard - POST /policy-ocr/batches/:id/discard - shared DiscardBatchCard on both review screens, gated the same way |
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 rmancinasandClaude Opus 5
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d6501f1d74 |
feat(recibos): OCR capture for gas butano and municipal predial
Adds four parsers to the statement intake — GAS TIJUANA plus one per municipality, because Tijuana, Rosarito and Ensenada issue three completely different predial documents — and a text-layer fast path for the born-digital invoices the gas company sends. Measured against a new corpus of 14 documents / 29 pages: provider read on 29/29, amount on 26/29, and 21/29 auto-matched against the dev database (22/29 identified). The eight review cases are all legitimate. Five things the corpus forced: - Not every statement is a scan. The gas invoices are born-digital CFDIs whose text layer is exact; rasterising them only loses information (one sample turned `MEDIDOR: VM01014426` into `ar (LTR): 014420`). The new `OcrProvider.textPages` reads the embedded layer via `pdftotext -bbox-layout` — same poppler package as `pdftoppm`, so no new dependency — and OCR stays the fallback for real scans. Poppler's own `<line>` grouping follows text flow rather than the page, so words are regrouped by vertical position; without that, a two-column header leaves every label separated from the value printed beside it. - The clave catastral is not two letters and six digits. Position three is a letter in 15 of the 932 stored claves, and digitising the whole tail mapped a real `MMB01041` to a nonexistent `MM801041`. - Tijuana predial prints no clave at all. Its only identifier is an 8-digit municipal account carried in a 32-digit payment barcode, which the legacy database never held, so it goes in `meterNumber` alongside gas — `accountNumber` holds `DATMEX.predial`, which is not a per-property key and must not be overwritten. Those pages start cold and are taught by the first confirm. - On Rosarito and Ensenada the clave is the primary key, not a fallback: those receipts print nothing else, so a unique hit auto-matches. On a utility bill that merely happens to print one it stays a review hint. - A misread `$` is the dangerous failure. An Ensenada receipt for $2,203.00 OCR'd as `82,203.00`, which would post a charge 37x too large and look ordinary in the ledger. Predial amounts now require a literal `$` and a page that cannot produce one goes to review. The scoped match field is now one exported function rather than three copies of `kind === "GAS" ? ... : ...`, since the lookup, the blank-service fill and the confirm write-back have to agree or a reference gets learned into a column nothing searches. First tests in this package: 23 specs over the parsers and the text-layer reader, every fixture a verbatim OCR excerpt from a real receipt. Adds the jest config they need and a build tsconfig so they stay out of dist. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> |
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rmancinasandClaude Opus 5
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b59abda895 |
feat(captura): fold recibo OCR into Captura as an automatic mode
Scanning a stack of bills and keying them in are the same daily job, ending in the same ledger path, so OCR intake becomes a mode of the capture screen instead of a second menu entry: - components/Captura.tsx holds the mode switch; the manual check form moves verbatim to components/ManualCheckCapture.tsx and the OCR intake to components/StatementIntake.tsx. - /estado-cuenta/lote opens on manual, /recibos on automatic — both render Captura, so batch-review links and old bookmarks still land right. - Nav drops "Recibos (OCR)"; "Captura" covers both, with a NavLink.aliases field so /recibos still highlights it. Also fixes the "El almacenamiento de documentos no está configurado" failure staff hit on upload. Uploading with no object storage configured used to succeed, then die on the first put minutes later, leaving a FAILED batch whose only explanation was that string. createBatch now refuses up front, GET /statements/status reports storageAvailable alongside ocrAvailable, and the intake tab explains the situation instead of offering an upload that cannot work. S3_* documented in .env.example (deploy stacks already set it). Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> |
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rmancinasandClaude Opus 5
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4d5008b545 |
feat(statements): OCR intake for scanned utility bills
Staff key 300+ utility statements per company per month by hand. This adds the ingest -> split -> OCR -> match -> review pipeline that proposes customer and amount per page instead (RECEIPT_CAPTURE_SPEC §2), posting through the existing BillingService.createBatch seam with source=OCR and a per-document captureRef so machine and hand capture share one write path and audit trail. Everything was designed against 10 real scanned statements (46 pages of CFE, CESPT and Telnor bills) rather than from the sample-free spec. The scans have no text layer at all — they are camera images — so OCR is mandatory, and they arrive bundled one customer per page. Measured on those pages the parser identifies the provider 46/46 and reads an account reference 43/46; against the dev database that is 39/46 (85%) exact auto-match, 40/46 identified, with the rest genuine review cases. That closes the OCR-provider question in favour of self-hosted Tesseract: it clears the bar for a queue where a human confirms every row, and OcrProvider keeps a managed API a one-line swap. The samples corrected three things the spec had wrong or unknown: - Clave catastral is NOT predial. DATMEX.clave (934 rows) is what CESPT and predial bills print; DATMEX.predial, which PROPERTY_TAX.accountNumber holds, has 663 distinct values across 1135 rows and appears on no statement. The clave now lives on Property.cadastralKey as the matcher's secondary key; predial is left untouched. This had been blocking predial matching. - Gas was recoverable: 160 of 334 DATMEX.gas values are real account numbers (the rest are ESTACIONARIO/CILINDRO descriptors), now in GAS.meterNumber. - Phone is one billed line per property (534/18/1 across phone1/2/3), so the new TELEPHONE ServiceKind backfills from phone1 only, not three rows. Matching is scoped to one column per service kind and never reads the customer name — a CESPT receipt prints ARNAIZ ROSAS ELSA AURORA for an account this office holds under CATT, RANDY, because the printed name is the registrant, not the current owner. Where a provider prints a payment barcode it beats the printed label (one CFE label OCR'd a digit too many while its barcode was correct) and the two cross-check, with disagreement forcing review. Confirming a document whose service had no reference writes it back, so gas and any other cold start is a one-time cost rather than a permanent queue. Verified end to end against the live dev API and MinIO: real scans uploaded over HTTP, matched, confirmed against a check, and the resulting rows checked in MySQL (negative amounts, captureSource=OCR, concept derived from the batch kind, captureRef linking back to each page). Re-confirming a posted batch is refused. Test data was removed afterwards. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> |