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jorgecuadros-platform/apps/api/src/statements/ocr/tesseract.provider.spec.ts
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rmancinasandClaude Opus 5 d6501f1d74
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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>
2026-08-01 12:52:20 -07:00

68 lines
2.6 KiB
TypeScript

import { parseBboxLayout } from "./tesseract.provider";
/**
* Shaped like real `pdftotext -bbox-layout` output: the gas invoice lays its
* header out as two columns of independent text flows, so poppler puts a label
* and the value printed beside it in *different* `<line>` elements. Trusting
* that grouping is what left `PERIODO FACTURADO` with no value next to it and
* every period field empty on a batch whose text was perfectly readable.
*/
function word(x: number, y: number, text: string): string {
return `<word xMin="${x}" yMin="${y}" xMax="${x + 20}" yMax="${y + 8}">${text}</word>`;
}
function doc(...lines: string[]): string {
return `<doc><page width="612" height="792">${lines
.map((l) => `<flow><block><line>${l}</line></block></flow>`)
.join("")}</page></doc>`;
}
/** Enough words on the page to clear the "is this a real text layer" floor. */
function padding(): string {
return Array.from({ length: 50 }, (_, i) => word(10, 400 + i * 10, `w${i}`)).join("");
}
describe("parseBboxLayout", () => {
it("rejoins a label with the value printed beside it in another flow", () => {
const [page] = parseBboxLayout(
doc(
word(20, 100, "PERIODO") + word(45, 100, "FACTURADO:"),
word(300, 100.4, "20260630-20260630"),
padding(),
),
1,
);
expect(page).not.toBeNull();
expect(page!.text).toContain("PERIODO FACTURADO: 20260630-20260630");
});
it("keeps genuinely separate lines apart", () => {
const [page] = parseBboxLayout(
doc(word(20, 100, "Cuenta:") + word(80, 100, "0900003463"), word(20, 130, "Nombre:"), padding()),
1,
);
expect(page!.text.split("\n")).toContain("Cuenta: 0900003463");
expect(page!.text.split("\n")).toContain("Nombre:");
});
it("scales point coordinates into the render's pixel space", () => {
// Word boxes have to land in the same coordinate space tesseract reports,
// or the geometric helpers the parsers share silently stop finding values.
const [page] = parseBboxLayout(doc(word(72, 144, "X") + padding()), 300 / 72);
const x = page!.words.find((w) => w.text === "X")!;
expect(x.left).toBeCloseTo(300);
expect(x.top).toBeCloseTo(600);
});
it("reports no text layer for a scan carrying a few stray glyphs", () => {
expect(parseBboxLayout(doc(word(10, 10, "3") + word(40, 10, "of") + word(60, 10, "5")), 1)).toEqual([
null,
]);
});
it("decodes the entities poppler escapes", () => {
const [page] = parseBboxLayout(doc(word(10, 10, "A&amp;B") + padding()), 1);
expect(page!.text).toContain("A&B");
});
});