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gitea-actions 8c144fe8c4 chore(release): v1.0.22
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2026-08-15 20:06:28 +00:00
rmancinasandClaude Opus 5 4f2f064955 fix(web): OCR batch review returns to capture, not the policy list
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"Volver a pólizas" on /polizas/captura/[id] dropped the reviewer at
/polizas, so getting back to the batch queue meant navigating in again.
Points at /polizas/captura and reads "Volver a captura", matching the
statement review screen, which returns to /recibos.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-15 13:04:14 -07:00
rmancinasandClaude Opus 5 2f99bd5f98 fix(web): define the layout utilities the screens were already using
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The policy OCR review header read
"Para revisarPágina 1700489616· PAMELA DENISE WAGONERLICENCIASANA".

`.row`, `.stack`, `.tag`, `.page-sub` and `.state-warn` are used across the
app but no rule ever defined them. Without `display: flex` the `gap` those
call sites pass does nothing, and JSX drops the newline between sibling
elements, so the header's spans concatenated. `.tag` rendered as prose rather
than as a chip for the same reason.

Defined against the existing design tokens: `.tag` takes `.badge`'s shape,
`.state-warn` is the gold sibling of `.state-error`, and `p.page-sub` keeps
the block margin while the inline form drops it so a flex row still centres.

Also dropped the hand-rolled "· " separator and margin from the OCR header —
the flex gap does that now, and the literal dot was left floating in it.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-15 12:58:25 -07:00
gitea-actions 458b2b272d chore(release): v1.0.21
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2026-08-15 19:41:02 +00:00
rmancinasandClaude Opus 5 81938877ed feat(policy-ocr): suggest the customer from the printed insured name
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The office books customers surname-first ("WAGONER, PAMELA") and carriers
print them given-name-first ("PAMELA DENISE WAGONER"), so the review screen
made staff retype a name the parser had already read. Comparing normalized
token sets makes the two orderings the same thing.

Only on the zero-hit path, where the policy number found nothing and a human
has to pick a customer anyway. The suggestions are written to a new
`customerSuggestions` column rather than `matchCandidates`, which the review
screen reads as policy-number hits, and they never set `matchedCustomerId` or
`confident` — matching on `Policy.policyNumber` is unchanged.

Two tiers, drawn where the real book has cliffs: EXACT (identical token sets)
and PARTIAL (containment, >=2 shared tokens, surname present). Of 1536
customers, 1487 have a distinct token set, so EXACT cross-person collisions
are ~0; loosen to surname + first given name and 131 (8.5%) collide, and 185
surnames are shared by 524 customers, which is why one token is never enough
and the surname must be printed explicitly. Replaying every book row as a
carrier would print it: 97.9% top-ranked correct, 1.2% a different row, all
but two of those the same human on a duplicate or variant row.

Normalization folds accents (OCR's MUNOZ reaches the book's MUÑOZ), drops
initials, Spanish particles, JR/S.A. DE C.V., and any token with a digit —
ANA prints the phone hard against the name as `Ph.3102001538`. Names over 8
tokens or 80 characters are refused outright, because GMX's especificación
has no field labels and the parser has handed its whole first page over as
`insuredName`.

Not used for utility statements: there the registrant genuinely is not the
customer, so the same trick would be wrong rather than noisy.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-15 12:37:23 -07:00
gitea-actions d854dff091 chore(release): v1.0.20
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2026-08-15 18:59:38 +00:00
rmancinasandClaude Opus 5 19864f16f2 fix(ocr): keep the printed layout when rebuilding text from word boxes
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The parsers are written against `pdftotext -layout`, and every policy-ocr
fixture is a verbatim excerpt of it. The runtime does not use it: it reads
`-bbox-layout` and rebuilds the page from word boxes, and that rebuild
collapsed all white space — no blank lines between blocks, one space
between columns. White space is the only thing marking a cell boundary on
these borderless forms, so the fixtures could not see any of it.

What it cost, on the GMX PVL especificación and the ANA driver's policy:

- `espectBlock` walks a wrapped cell until a blank line. With no blank
  line it ran to the end of the page, so the insured's name came back as
  the entire first page of the specification.
- `INSURED\s{2,}` and its siblings matched nothing, and the phone that
  shares the name cell rode along with it ("PAMELA DENISE WAGONER
  Ph.3102001538"), which matches no customer.
- `parseAnaDriverCoverages` splits SUM INSURED from PREMIUM by the
  header's own column offsets. Without offsets, every premium was filed
  as a sum insured.

So `toVisualRows` now emits a blank line where the reader sees one (a
vertical gap over 1.6 line heights — the two populations measure 0.3-1.1
and 2.1+, so the threshold sits in empty space) and pads each word to its
own column, using one space wherever words merely follow each other so
rounding drift cannot sprinkle false cell boundaries through prose.

Two independent guards, so neither failure can come back silently: the
ANA phone splits on a single space, and the especificación's cell walk is
capped at the one wrap the longest cell on that document actually uses.

Verified against the real PDFs: the especificación reads "EMMER .
KATHLEEN" with all 18 coverages named (they were "(sin nombre)"), and the
ten born-digital gas invoices parse byte-identically to before. The
scanned statements are untouched — they come through tesseract, not this
path.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-15 11:56:23 -07:00
19 changed files with 901 additions and 30 deletions
+1 -1
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@@ -1,6 +1,6 @@
{
"name": "@jorgecuadros/api",
"version": "1.0.19",
"version": "1.0.22",
"private": true,
"scripts": {
"build": "nest build",
@@ -0,0 +1,161 @@
import {
nameTokens,
suggestCustomersByName,
suggestionNote,
type CustomerNameRow,
} from "./name-matcher";
/**
* Every row here is a real name out of the customer book (1536 rows, dev
* mirror of production), chosen because it is one of the shapes that breaks
* naive matching: surname-first ordering, a middle initial, a Spanish double
* surname, a joint account, a missing comma, and the `(SIN NOMBRE)`
* placeholder the migration left for customers whose DATGRAL row had no name.
*/
const BOOK: CustomerNameRow[] = [
{ id: "c1", name: "WAGONER, PAMELA" },
{ id: "c2", name: "MCWILLIAMS, BRIAN MICHAEL" },
{ id: "c3", name: "MCWILLIAMS, BRIAN" },
{ id: "c4", name: "WEAKLAND, RICHARD E." },
{ id: "c5", name: "ESTRADA, JERRY & MARILYN" },
{ id: "c6", name: "CABALLERO PRIETO, GUILLERMO" },
{ id: "c7", name: "GREENE STEPHANIE" },
{ id: "c8", name: "(SIN NOMBRE)" },
{ id: "c9", name: "MUÑOZ, LUIS ALBERTO" },
{ id: "c10", name: "SMITH, DANIEL" },
{ id: "c11", name: "SMITH, JOHN" },
];
describe("nameTokens", () => {
it("makes the two orderings the same set", () => {
expect(nameTokens("PAMELA WAGONER").sort()).toEqual(
nameTokens("WAGONER, PAMELA").sort(),
);
});
it("drops initials, particles and corporate suffixes", () => {
expect(nameTokens("WEAKLAND, RICHARD E.")).toEqual(["WEAKLAND", "RICHARD"]);
expect(nameTokens("GARCIA DE LA TORRE, ANA")).toEqual(["GARCIA", "TORRE", "ANA"]);
expect(nameTokens("CONSTRUCTORA BAJA S.A. DE C.V.")).toEqual([
"CONSTRUCTORA",
"BAJA",
]);
});
it("folds accents so OCR's MUNOZ reaches the book's MUÑOZ", () => {
expect(nameTokens("MUÑOZ")).toEqual(["MUNOZ"]);
});
it("drops the phone number ANA prints against the insured name", () => {
// Observed verbatim from the ANA automobile face.
expect(nameTokens("MARIA GARCIA Ph.3102001538")).toEqual([
"MARIA",
"GARCIA",
"PH",
]);
});
});
describe("suggestCustomersByName", () => {
it("matches the reversed name exactly", () => {
const [top] = suggestCustomersByName("PAMELA WAGONER", BOOK);
expect(top).toMatchObject({ customerId: "c1", tier: "EXACT", score: 1 });
});
it("treats a printed middle name the book lacks as a partial hit", () => {
const hits = suggestCustomersByName("PAMELA DENISE WAGONER", BOOK);
expect(hits[0]).toMatchObject({ customerId: "c1", tier: "PARTIAL" });
expect(hits[0].score).toBeCloseTo(2 / 3);
});
it("ranks the exact row above the row that merely contains it", () => {
// Both MCWILLIAMS rows are reachable from this name; the one that holds
// the middle name is the exact set and must come first.
const hits = suggestCustomersByName("BRIAN MICHAEL MCWILLIAMS", BOOK);
expect(hits.map((h) => h.customerId)).toEqual(["c2", "c3"]);
expect(hits[0].tier).toBe("EXACT");
expect(hits[1].tier).toBe("PARTIAL");
});
it("reaches a joint account from the one spouse the carrier printed", () => {
const hits = suggestCustomersByName("JERRY ESTRADA", BOOK);
expect(hits[0]).toMatchObject({ customerId: "c5", tier: "PARTIAL" });
});
it("will not reach a joint account on given names alone", () => {
// No surname printed: `JERRY MARILYN` overlaps ESTRADA, JERRY & MARILYN
// on two tokens, and matching on that would book a stranger's policy.
expect(suggestCustomersByName("JERRY MARILYN", BOOK)).toEqual([]);
});
it("matches a Spanish double surname regardless of where the comma fell", () => {
const [top] = suggestCustomersByName("GUILLERMO CABALLERO PRIETO", BOOK);
expect(top).toMatchObject({ customerId: "c6", tier: "EXACT" });
});
it("still matches a book row that has no comma", () => {
const [top] = suggestCustomersByName("STEPHANIE GREENE", BOOK);
expect(top).toMatchObject({ customerId: "c7", tier: "EXACT" });
});
it("never suggests the (SIN NOMBRE) placeholder", () => {
expect(suggestCustomersByName("SIN NOMBRE", BOOK)).toEqual([]);
expect(suggestCustomersByName("NOMBRE DEL ASEGURADO", BOOK)).toEqual([]);
});
it("returns nothing on a shared surname alone", () => {
// 185 surnames are shared by 524 customers; one token is not evidence.
expect(suggestCustomersByName("SMITH", BOOK)).toEqual([]);
});
it("returns nothing for a different person with the same surname", () => {
expect(suggestCustomersByName("ROBERT SMITH", BOOK)).toEqual([]);
});
it("refuses a page-sized blob", () => {
// GMX's especificación has no field labels and the parser has handed its
// whole first page over as the insured name.
const blob =
"ESPECIFICACION DE LA POLIZA DE SEGURO DE RESPONSABILIDAD CIVIL " +
"EXPEDIDA A FAVOR DE PAMELA WAGONER CON VIGENCIA DEL 01 DE ENERO";
expect(suggestCustomersByName(blob, BOOK)).toEqual([]);
});
it("caps the list", () => {
expect(suggestCustomersByName("BRIAN MICHAEL MCWILLIAMS", BOOK, 1)).toHaveLength(1);
});
it("handles a null insured name", () => {
expect(suggestCustomersByName(null, BOOK)).toEqual([]);
});
});
describe("suggestionNote", () => {
it("says nothing when there is nothing", () => {
expect(suggestionNote([])).toBeNull();
});
it("names a single exact hit", () => {
expect(suggestionNote(suggestCustomersByName("PAMELA WAGONER", BOOK))).toBe(
"posible cliente por nombre: WAGONER, PAMELA",
);
});
it("reports a tie rather than picking one", () => {
// The book really does hold EMERY, LAURA twice and KIRCHHOFF, CINDY
// three times.
const dupes: CustomerNameRow[] = [
{ id: "d1", name: "EMERY, LAURA" },
{ id: "d2", name: "EMERY, LAURA" },
];
expect(suggestionNote(suggestCustomersByName("LAURA EMERY", dupes))).toBe(
"2 clientes tienen ese mismo nombre; elija cuál",
);
});
it("lists partial hits", () => {
expect(suggestionNote(suggestCustomersByName("PAMELA DENISE WAGONER", BOOK))).toBe(
"posibles clientes por nombre: WAGONER, PAMELA",
);
});
});
+199
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@@ -0,0 +1,199 @@
/**
* Suggests which existing customer a printed insured name belongs to.
*
* The office books customers surname-first ("WAGONER, PAMELA") and carriers
* print them given-name-first ("PAMELA DENISE WAGONER"), so a string compare
* never hits. Comparing *token sets* does, and it is order-insensitive by
* construction — which is the whole trick.
*
* **These are suggestions, never matches.** Nothing here sets
* `matchedCustomerId` or `confident`; the review screen offers the ranked
* names and a human picks. That line is not caution, it is what the book
* measures out to: of 1536 customers, 1487 have a distinct normalized token
* set — but loosen the rule to surname + first given name only and 131 of
* them (8.5%) collide, because the book holds `MCWILLIAMS, BRIAN MICHAEL`
* *and* `MCWILLIAMS, BRIAN`, and `CUADROS, JORGE JR` alongside three
* `CUADROS, JORGE H.`. 185 surnames are shared by 524 customers, so a
* surname alone carries no information at all.
*
* The two tiers below are drawn at the two places that measurement puts a
* cliff: full token-set equality, where cross-person collisions are
* effectively zero, and strict containment, where they are common enough
* that the result can only ever be a hint.
*/
/** A customer row as the matcher needs it — id and the book's name. */
export interface CustomerNameRow {
id: string;
name: string;
}
export type NameMatchTier = "EXACT" | "PARTIAL";
export interface CustomerNameSuggestion {
customerId: string;
customerName: string;
/**
* `EXACT` — the two names carry the same tokens, in any order.
* `PARTIAL` — one name's tokens are all present in the other's, plus the
* surname. A printed middle name the book does not hold, or a joint
* account where the carrier named one spouse, both land here.
*/
tier: NameMatchTier;
/** Shared tokens over the longer name's token count, 0..1. */
score: number;
}
/**
* Words that carry no identity. Spanish particles and the ampersand joining
* a couple are noise; the corporate suffixes are dropped so `S.A. DE C.V.`
* does not make every company look alike.
*/
const NOISE = new Set([
"DE", "DEL", "LA", "LAS", "LOS", "Y", "AND", "VDA",
"JR", "SR", "II", "III", "IV",
"SA", "CV", "SAPI", "SRL", "RL", "SC", "INC", "LLC", "LTD", "CORP", "CO",
]);
/**
* Placeholder rows the migration left behind. Fourteen customers are named
* literally `(SIN NOMBRE)`; without this they would be one 14-way tie on
* every unreadable name.
*/
const PLACEHOLDER = new Set(["SIN NOMBRE", "NOMBRE SIN"]);
/**
* A name blob longer than this is not a name. GMX's PVL especificación has
* no field labels, and the parser has been seen handing its entire first
* page over as `insuredName`; matching that against the book would find
* a surname somewhere in the prose and suggest a stranger.
*/
const MAX_TOKENS = 8;
const MAX_CHARS = 80;
/**
* Splits a name into comparable tokens.
*
* Accents go first, and deliberately in both directions: the book holds
* `MUÑOZ` where OCR routinely reads `MUNOZ`, and folding both to the same
* ASCII makes that a hit rather than a miss.
*
* Tokens containing digits are dropped outright. ANA's automobile face
* prints the phone number hard against the insured name — the parser has
* emitted `MARIA GARCIA Ph.3102001538` — and the digits would otherwise
* be an extra token forever blocking `EXACT`.
*
* Single letters are dropped as initials: the book is full of
* `WEAKLAND, RICHARD E.`, and a carrier that prints the middle name in
* full should still match the row that abbreviates it.
*/
export function nameTokens(raw: string): string[] {
const cleaned = raw
.normalize("NFD")
.replace(/[\u0300-\u036f]/g, "")
.toUpperCase()
.replace(/[^A-Z0-9]+/g, " ")
.trim();
const tokens = cleaned
.split(" ")
.filter((t) => t.length > 1 && !/\d/.test(t) && !NOISE.has(t));
return [...new Set(tokens)];
}
/** The surname tokens — everything before the comma the book writes. */
function surnameTokens(bookName: string): string[] {
const comma = bookName.indexOf(",");
// 54 of 1536 rows have no comma at all ("GREENE STEPHANIE",
// "FAROOQ VAKIL"), and which half is the surname is unknowable. Requiring
// a surname we cannot identify would silently exclude those rows, so they
// fall back to requiring nothing beyond the containment rule.
if (comma < 0) return [];
return nameTokens(bookName.slice(0, comma));
}
function isPlaceholder(tokens: string[]): boolean {
return tokens.length === 0 || PLACEHOLDER.has([...tokens].sort().join(" "));
}
function containsAll(haystack: Set<string>, needles: string[]): boolean {
return needles.every((n) => haystack.has(n));
}
/**
* Ranks the book against one printed name.
*
* Returns at most `limit` suggestions, `EXACT` before `PARTIAL` and higher
* score first. An empty array means the printed name was unusable (too
* long, too few real tokens) or nothing in the book came close — both of
* which leave the review screen exactly as it is today.
*/
export function suggestCustomersByName(
printedName: string | null | undefined,
customers: CustomerNameRow[],
limit = 3,
): CustomerNameSuggestion[] {
if (!printedName || printedName.length > MAX_CHARS) return [];
const printed = nameTokens(printedName);
// One usable token is a surname or a given name on its own, and 34% of the
// book shares a surname with someone. Nothing useful can come of it.
if (printed.length < 2 || printed.length > MAX_TOKENS) return [];
const printedSet = new Set(printed);
const out: CustomerNameSuggestion[] = [];
for (const c of customers) {
const book = nameTokens(c.name);
if (isPlaceholder(book) || book.length < 2) continue;
const bookSet = new Set(book);
const overlap = printed.filter((t) => bookSet.has(t)).length;
// Two shared tokens is the floor: one is a bare surname collision.
if (overlap < 2) continue;
const bookInPrinted = containsAll(printedSet, book);
const printedInBook = containsAll(bookSet, printed);
if (!bookInPrinted && !printedInBook) continue;
// When the book's name is the shorter one, containment already proves
// the surname was printed. When the printed name is shorter — the book
// holds a middle name or a second spouse the carrier omitted — the
// surname must be there explicitly, or `JERRY MARILYN` would match
// `ESTRADA, JERRY & MARILYN` on given names alone.
if (!bookInPrinted && !containsAll(printedSet, surnameTokens(c.name))) continue;
out.push({
customerId: c.id,
customerName: c.name,
tier: bookInPrinted && printedInBook ? "EXACT" : "PARTIAL",
score: overlap / Math.max(book.length, printed.length),
});
}
out.sort((a, b) => {
if (a.tier !== b.tier) return a.tier === "EXACT" ? -1 : 1;
if (b.score !== a.score) return b.score - a.score;
return a.customerName.localeCompare(b.customerName);
});
return out.slice(0, limit);
}
/** Review-queue wording for what the suggestions amount to. */
export function suggestionNote(suggestions: CustomerNameSuggestion[]): string | null {
if (suggestions.length === 0) return null;
const exact = suggestions.filter((s) => s.tier === "EXACT");
// More than one exact hit is the duplicate-customer case the book really
// has (`EMERY, LAURA` twice, `KIRCHHOFF, CINDY` three times). Saying so is
// more useful than naming whichever one sorted first.
if (exact.length > 1) {
return `${exact.length} clientes tienen ese mismo nombre; elija cuál`;
}
if (exact.length === 1) {
return `posible cliente por nombre: ${exact[0].customerName}`;
}
return `posibles clientes por nombre: ${suggestions.map((s) => s.customerName).join(", ")}`;
}
@@ -859,6 +859,15 @@ describe("parsePolicy / ANA driver's policy (licencia)", () => {
expect(parsePolicy(tripled).drivers).toHaveLength(1);
});
it("splits the phone off the name even without the printed column gap", () => {
// The phone shares the name cell, and the only thing marking it off is
// white space — which the OCR seam is free to collapse. Depending on the
// gap surviving is what put "PAMELA DENISE WAGONER Ph.3102001538" in the
// insured field, where it matched no customer.
const collapsed = page(ANA_LICENCIA.text.replace(/ {2,}/g, " "));
expect(parsePolicy(collapsed).insuredName).toBe("PAMELA DENISE WAGONER");
});
it("drops the four empty driver slots", () => {
// Slots 2-5 print an empty NAME and a bare "NONE" licence.
expect(p.drivers.map((d) => d.fullName)).toEqual(["PAMELA DENISE WAGONER"]);
@@ -727,13 +727,22 @@ function parseGmxEspecificacion(page: OcrPage): ParsedPolicy {
* value in a right-hand column, so a two-line risk location comes back as the
* label line plus a continuation line indented to the same column. A blank
* line always terminates the cell.
*
* The line budget is a guard, not the layout: the longest cell on this
* document wraps once. It exists because "walk until the cell ends" is only
* as good as the blank line it walks to, and when the OCR seam stopped
* emitting those, this returned the whole first page as the insured's name —
* a failure with no bad value to notice, just one enormous good one.
*/
const ESPEC_MAX_WRAP = 3;
function espectBlock(lines: string[], label: RegExp): string | null {
for (let i = 0; i < lines.length; i++) {
const m = lines[i].match(label);
if (!m?.[1]) continue;
const parts = [m[1]];
for (let j = i + 1; j < lines.length && lines[j].trim(); j++) {
const until = Math.min(lines.length, i + 1 + ESPEC_MAX_WRAP);
for (let j = i + 1; j < until && lines[j].trim(); j++) {
parts.push(lines[j].trim());
}
const value = parts.join(" ").replace(/\s+/g, " ").trim();
@@ -1889,7 +1898,12 @@ function parseAnaDrivers(lines: string[]): ParsedDriver[] {
const raw = scope[at].match(/^\s*\d\.\s*NAME\s*:\s*(.*)$/i)?.[1]?.trim() ?? "";
if (!raw) return;
const phoneAt = raw.match(/\s{2,}Ph\.?\s*([\d()\s.-]{7,})\s*$/i);
// One space is enough to split on: the "Ph." marker plus seven digits at
// the end of the cell is not something a name does. Requiring the printed
// column gap made this depend on the reassembler keeping it, and when that
// collapsed the phone rode into `insuredName` ("PAMELA DENISE WAGONER
// Ph.3102001538") and no customer matched it.
const phoneAt = raw.match(/\s+Ph\.?\s*([\d()\s.-]{7,})\s*$/i);
const fullName = (phoneAt ? raw.slice(0, phoneAt.index) : raw).replace(/\s+/g, " ").trim();
if (!fullName) return;
@@ -0,0 +1,100 @@
import { PolicyMatcherService } from "./policy-matcher.service";
import type { PrismaService } from "../prisma/prisma.service";
import type { ParsedPolicy } from "./parsers/policy-parser";
function parsed(over: Partial<ParsedPolicy> = {}): ParsedPolicy {
return {
provider: "GMX",
policyNumber: null,
insuredName: null,
notes: [],
coverages: [],
vehicles: [],
drivers: [],
...over,
} as unknown as ParsedPolicy;
}
function prismaStub(policies: unknown[], customers: { id: string; name: string }[]) {
const findManyPolicy = jest.fn().mockResolvedValue(policies);
const findManyCustomer = jest.fn().mockResolvedValue(customers);
return {
prisma: {
policy: { findMany: findManyPolicy },
customer: { findMany: findManyCustomer },
} as unknown as PrismaService,
findManyPolicy,
findManyCustomer,
};
}
const BOOK = [
{ id: "cust-1", name: "WAGONER, PAMELA" },
{ id: "cust-2", name: "SMITH, JOHN" },
];
describe("PolicyMatcherService name suggestions", () => {
it("suggests a customer when the policy number is new", async () => {
const { prisma } = prismaStub([], BOOK);
const svc = new PolicyMatcherService(prisma);
const r = await svc.match(
parsed({ policyNumber: "P-999", insuredName: "PAMELA DENISE WAGONER" } as never),
);
expect(r.customerSuggestions).toEqual([
expect.objectContaining({ customerId: "cust-1", tier: "PARTIAL" }),
]);
// The suggestion is surfaced, never applied.
expect(r.customerId).toBeNull();
expect(r.confident).toBe(false);
expect(r.note).toContain("posibles clientes por nombre: WAGONER, PAMELA");
});
it("suggests when the policy number could not be read at all", async () => {
const { prisma } = prismaStub([], BOOK);
const svc = new PolicyMatcherService(prisma);
const r = await svc.match(parsed({ insuredName: "PAMELA WAGONER" } as never));
expect(r.customerSuggestions[0]).toMatchObject({ customerId: "cust-1", tier: "EXACT" });
expect(r.customerId).toBeNull();
expect(r.note).toBe(
"no se pudo leer el número de póliza; posible cliente por nombre: WAGONER, PAMELA",
);
});
it("does not touch the book when the policy number hits", async () => {
const { prisma, findManyCustomer } = prismaStub(
[
{
id: "pol-1",
policyNumber: "P-1",
customerId: "cust-2",
customer: { name: "SMITH, JOHN" },
},
],
BOOK,
);
const svc = new PolicyMatcherService(prisma);
const r = await svc.match(
parsed({ policyNumber: "P-1", insuredName: "PAMELA WAGONER" } as never),
);
expect(r.confident).toBe(true);
expect(r.customerId).toBe("cust-2");
expect(r.customerSuggestions).toEqual([]);
expect(findManyCustomer).not.toHaveBeenCalled();
});
it("reads the customer book once across a batch", async () => {
const { prisma, findManyCustomer } = prismaStub([], BOOK);
const svc = new PolicyMatcherService(prisma);
await svc.match(parsed({ policyNumber: "A", insuredName: "PAMELA WAGONER" } as never));
await svc.match(parsed({ policyNumber: "B", insuredName: "JOHN SMITH" } as never));
expect(findManyCustomer).toHaveBeenCalledTimes(1);
});
});
@@ -1,6 +1,12 @@
import { Injectable } from "@nestjs/common";
import { PrismaService } from "../prisma/prisma.service";
import type { ParsedPolicy } from "./parsers/policy-parser";
import {
suggestCustomersByName,
suggestionNote,
type CustomerNameRow,
type CustomerNameSuggestion,
} from "./name-matcher";
export interface MatchResult {
policyId: string | null;
@@ -14,8 +20,24 @@ export interface MatchResult {
* the policy number is shared across customers and a human must pick.
*/
candidates: { policyId: string; customerId: string; customerName: string; policyNumber: string }[];
/**
* Customers whose name resembles the printed insured name. Populated only
* when the policy number resolved to nothing, and never used to set
* `customerId` or `confident` — see the class comment.
*/
customerSuggestions: CustomerNameSuggestion[];
}
/**
* How long the customer book is reused across documents in a batch.
*
* A twenty-page batch would otherwise read all 1536 rows twenty times. The
* only cost of the staleness is that a customer created in the last minute
* is not suggested — the picker still finds them, so nothing is lost that a
* reviewer cannot do in one click.
*/
const BOOK_TTL_MS = 60_000;
/**
* Resolves a parsed policy page to an existing Policy (and its customer) the
* office already holds.
@@ -33,14 +55,29 @@ export interface MatchResult {
* policy numbers across customers do occur (same group policy bound by two
* related parties), and picking one arbitrarily would silently book the
* wrong coverage.
*
* On that zero-hit path only, the printed name is used to *rank the picker*
* — see `name-matcher.ts`. That is not a walk-back of the rule above: the
* suggestion never reaches `customerId` or `confident`, a human still picks,
* and the ranking exists because the office writes names surname-first
* ("WAGONER, PAMELA") while carriers print them given-name-first ("PAMELA
* DENISE WAGONER"), so the reviewer is retyping a name the machine could
* have offered.
*/
@Injectable()
export class PolicyMatcherService {
private book: { rows: CustomerNameRow[]; loadedAt: number } | null = null;
constructor(private readonly prisma: PrismaService) {}
async match(parsed: ParsedPolicy): Promise<MatchResult> {
if (!parsed.policyNumber) {
return this.unmatched("no se pudo leer el número de póliza");
// No number to search on, so the page goes to review with a picker —
// the same place the name suggestions help.
return this.unmatched(
"no se pudo leer el número de póliza",
await this.suggestByName(parsed.insuredName),
);
}
const rows = await this.prisma.policy.findMany({
@@ -61,22 +98,33 @@ export class PolicyMatcherService {
}));
if (rows.length === 0) {
const suggestions = await this.suggestByName(parsed.insuredName);
const hint = suggestionNote(suggestions);
return {
policyId: null,
customerId: null,
note: `no se encontró ninguna póliza con el número ${parsed.policyNumber}`,
note: [
`no se encontró ninguna póliza con el número ${parsed.policyNumber}`,
hint,
]
.filter(Boolean)
.join("; "),
confident: false,
candidates: [],
customerSuggestions: suggestions,
};
}
if (rows.length > 1) {
// The policy number did find rows; the reviewer picks among those, and
// adding name guesses on top would only add noise.
return {
policyId: null,
customerId: null,
note: `${rows.length} pólizas comparten el número ${parsed.policyNumber}`,
confident: false,
candidates,
customerSuggestions: [],
};
}
@@ -86,16 +134,47 @@ export class PolicyMatcherService {
note: `coincidencia exacta por número de póliza ${parsed.policyNumber}`,
confident: true,
candidates,
customerSuggestions: [],
};
}
private unmatched(note: string): MatchResult {
private async suggestByName(
insuredName: string | null | undefined,
): Promise<CustomerNameSuggestion[]> {
if (!insuredName) return [];
return suggestCustomersByName(insuredName, await this.customerBook());
}
/**
* The whole customer book, held briefly. 1536 rows of `{id, name}` is a
* few hundred kilobytes and the comparison is pure token-set work, so
* scanning it beats any SQL approximation — and a `LIKE` search would in
* any case have to guess which token is the surname, which is the one
* thing the office's own data does not agree on.
*/
private async customerBook(): Promise<CustomerNameRow[]> {
if (this.book && Date.now() - this.book.loadedAt < BOOK_TTL_MS) {
return this.book.rows;
}
const rows = await this.prisma.customer.findMany({
select: { id: true, name: true },
});
this.book = { rows, loadedAt: Date.now() };
return rows;
}
private unmatched(
note: string,
customerSuggestions: CustomerNameSuggestion[] = [],
): MatchResult {
const hint = suggestionNote(customerSuggestions);
return {
policyId: null,
customerId: null,
note,
note: [note, hint].filter(Boolean).join("; "),
confident: false,
candidates: [],
customerSuggestions,
};
}
}
@@ -211,6 +211,9 @@ export class PolicyOcrService {
matchCandidates: match.candidates.length
? (match.candidates as unknown as Prisma.InputJsonValue)
: Prisma.DbNull,
customerSuggestions: match.customerSuggestions.length
? (match.customerSuggestions as unknown as Prisma.InputJsonValue)
: Prisma.DbNull,
matchNote: notes.join("; "),
},
});
@@ -7,8 +7,13 @@ import { parseBboxLayout } from "./tesseract.provider";
* 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.
*/
/**
* Boxes are sized from the text, at 6 units a character: the reassembler now
* reads the space BETWEEN two boxes, so a fixed width would put a fabricated
* gap after every short word and every row would come back column-padded.
*/
function word(x: number, y: number, text: string): string {
return `<word xMin="${x}" yMin="${y}" xMax="${x + 20}" yMax="${y + 8}">${text}</word>`;
return `<word xMin="${x}" yMin="${y}" xMax="${x + text.length * 6}" yMax="${y + 8}">${text}</word>`;
}
function doc(...lines: string[]): string {
@@ -26,23 +31,57 @@ 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(20, 100, "PERIODO") + word(68, 100, "FACTURADO:"),
word(300, 100.4, "20260630-20260630"),
padding(),
),
1,
);
expect(page).not.toBeNull();
expect(page!.text).toContain("PERIODO FACTURADO: 20260630-20260630");
expect(page!.text).toMatch(/PERIODO FACTURADO:\s+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()),
doc(word(20, 100, "Cuenta:") + word(68, 100, "0900003463"), word(20, 130, "Nombre:"), padding()),
1,
);
expect(page!.text.split("\n")).toContain("Cuenta: 0900003463");
expect(page!.text.split("\n")).toContain("Nombre:");
const lines = page!.text.split("\n").map((l) => l.trim());
expect(lines).toContain("Cuenta: 0900003463");
expect(lines).toContain("Nombre:");
});
/**
* The layout is data. A borderless table separates its cells with nothing
* but white space, so the parsers read a run of spaces as a cell boundary
* (`INSURED\s{2,}`) and a column offset as a column (`SUM INSURED` vs
* `PREMIUM`). Both regressed to nothing when this collapsed every gap to a
* single space, and the fixtures — taken from `pdftotext -layout`, which
* prints the gaps — could not see it.
*/
it("preserves the gap between two cells of a borderless table", () => {
const [page] = parseBboxLayout(
doc(word(20, 100, "INSURED") + word(300, 100, "PAMELA") + word(340, 100, "WAGONER"), padding()),
1,
);
const line = page!.text.split("\n").find((l) => l.includes("INSURED"))!;
expect(line).toMatch(/INSURED\s{2,}PAMELA WAGONER/);
});
it("preserves the blank line between two blocks", () => {
const [page] = parseBboxLayout(
doc(word(20, 100, "Insured"), word(20, 112, "wraps"), word(20, 200, "Next"), padding()),
1,
);
const lines = page!.text.split("\n").map((l) => l.trim());
// The wrapped continuation stays attached; the next block is cut off from
// it, which is what stops a "join until the cell ends" walk running away.
expect(lines.slice(lines.indexOf("Insured"), lines.indexOf("Next") + 1)).toEqual([
"Insured",
"wraps",
"",
"Next",
]);
});
it("scales point coordinates into the render's pixel space", () => {
@@ -254,6 +254,23 @@ export function parseBboxLayout(xhtml: string, scale: number): (OcrPage | null)[
* Rows are cut when a word's vertical centre leaves the band established by
* the row's first word, which tolerates the sub-pixel baseline differences
* between fonts on one line without merging two genuinely separate lines.
*
* Vertical WHITE SPACE is preserved as a blank line. Rows alone are not the
* whole layout: on a form, the blank between two blocks is what says where a
* cell's wrapped value stops, and dropping it leaves parsers that walk a
* block ("keep joining until the cell ends") running to the end of the page.
* That is not hypothetical — the GMX PVL especificación read its whole first
* page as the insured's name, because the fixtures were taken from
* `pdftotext -layout` (which prints the blanks) while the runtime fed it this
* function's output (which did not).
*
* Horizontal white space is preserved the same way, by padding each word out
* to its own column. The same fixture mismatch bit here: a run of spaces is
* the ONLY thing separating two cells of a borderless table, so ANA's
* `INSURED\s{2,}` label matches and its `SUM INSURED` / `PREMIUM` column
* split (taken from `head.search()` offsets) both need real offsets. Joining
* on one space put every driver's-policy premium in the sum-insured column
* and left the phone glued to the insured's name.
*/
function toVisualRows(words: OcrWord[]): string {
const centre = (w: OcrWord) => w.top + w.height / 2;
@@ -281,14 +298,85 @@ function toVisualRows(words: OcrWord[]): string {
}
if (current.length) rows.push(current);
return rows
.map((r) =>
[...r]
.sort((a, b) => a.left - b.left)
.map((w) => w.text)
.join(" "),
)
.join("\n");
const charWidth = estimateCharWidth(words);
const out: string[] = [];
rows.forEach((r, i) => {
if (i > 0 && isBlankBetween(rows[i - 1], r)) out.push("");
out.push(layoutRow(r, charWidth));
});
return out.join("\n");
}
/**
* One row rendered at its printed column offsets.
*
* Words that merely follow one another inside the same cell are separated by
* exactly one space, whatever the column arithmetic says: one `charWidth` for
* a page that mixes fonts leaves a rounding error on every word, and letting
* that accumulate sprinkles `\s{2,}` runs through ordinary prose — which is
* the very thing the parsers read as a cell boundary. Only a gap wide enough
* to be deliberate (more than one blank character) is rendered as one, and
* only there is the word re-anchored to its true column, so the offsets a
* column split depends on stay honest while values stay clean.
*/
function layoutRow(row: OcrWord[], charWidth: number): string {
let line = "";
let right = 0;
for (const w of [...row].sort((a, b) => a.left - b.left)) {
const col = Math.round(w.left / charWidth);
if (!line.length) {
line = " ".repeat(Math.max(0, col));
} else if (w.left - right > charWidth * 1.5) {
line += " ".repeat(Math.max(2, col - line.length));
} else {
line += " ";
}
line += w.text;
right = w.left + w.width;
}
return line.trimEnd();
}
/**
* Width of one character, in the same units the word boxes use.
*
* The median of each word's own width-per-character: robust to the handful of
* oversized headings and to the wide-tracked letterhead, both of which would
* drag a mean. Only words of 3+ characters vote, since a one-character box is
* mostly side bearing. Falls back to a value derived from line height when a
* page has nothing long enough to measure.
*/
function estimateCharWidth(words: OcrWord[]): number {
const samples = words
.filter((w) => w.text.length >= 3 && w.width > 0)
.map((w) => w.width / w.text.length)
.sort((a, b) => a - b);
if (samples.length) return samples[Math.floor(samples.length / 2)];
const heights = words.map((w) => w.height).filter((h) => h > 0);
return heights.length ? Math.max(...heights) / 2 : 1;
}
/**
* Does the space between two consecutive rows read as an empty line?
*
* Measured against the taller of the two rows so a heading and its body text
* are judged on their own scale. On the real documents the two populations do
* not overlap: consecutive lines of one paragraph sit at 0.31.1 line heights
* apart, and anything the reader sees as blank-separated starts at 2.1. The
* threshold is placed in that empty middle, biased high — a missed blank only
* restores today's behaviour, while a spurious one would cut a wrapped value
* short.
*/
function isBlankBetween(prev: OcrWord[], row: OcrWord[]): boolean {
const bottom = Math.max(...prev.map((w) => w.top + w.height));
const top = Math.min(...row.map((w) => w.top));
const unit = Math.max(
...prev.map((w) => w.height),
...row.map((w) => w.height),
);
return unit > 0 && top - bottom > unit * 1.6;
}
/**
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@jorgecuadros/web",
"version": "1.0.19",
"version": "1.0.22",
"private": true,
"scripts": {
"dev": "next dev -p 4500",
+58
View File
@@ -3114,3 +3114,61 @@ button {
border-color: var(--brand-500);
color: var(--brand-700);
}
/* ============================================================================
Layout + text utilities the screens already assumed
Several components were written against these names before any rule
defined them, so they rendered as bare inline spans. The visible symptom
was the policy OCR review header running together —
"Para revisarPágina 1700489616· PAMELA DENISE WAGONERLICENCIASANA" —
because JSX drops the newline between sibling elements and the `gap` those
call sites pass does nothing without a flex container.
========================================================================== */
.row {
display: flex;
align-items: center;
flex-wrap: wrap;
gap: 0.5rem;
}
.stack {
display: flex;
flex-direction: column;
gap: 1rem;
}
/* The muted line under a page title, and the same voice reused inline. Only
the block form takes a margin — as a flex child it would shift the item
off the row's centre line. */
.page-sub {
color: var(--muted);
font-size: 0.875rem;
}
p.page-sub {
margin: 0.25rem 0 0;
}
/* A neutral chip. Same shape as `.badge` so the OCR statuses, policy type and
carrier read as the labels they are rather than as running prose. */
.tag {
display: inline-flex;
align-items: center;
gap: 0.375rem;
padding: 0.1875rem 0.5625rem;
border-radius: 999px;
font-size: 0.75rem;
font-weight: 600;
letter-spacing: 0.01em;
line-height: 1.4;
white-space: nowrap;
background: var(--paper-2);
color: var(--muted);
border: 1px solid var(--line-strong);
}
/* The warning sibling of `.state-error`, used where a page needs a human to
choose between candidates rather than reporting a failure. */
.state-warn {
background: var(--servicios-tint);
border: 1px solid rgba(154, 106, 18, 0.25);
color: var(--servicios-ink);
border-radius: var(--radius);
padding: 1rem 1.125rem;
font-size: 0.875rem;
}
+40 -6
View File
@@ -21,6 +21,7 @@ import type {
PolicyOcrBatchDetail,
PolicyOcrConfirmDocument,
PolicyOcrCoverage,
PolicyOcrCustomerSuggestion,
PolicyOcrDocument,
PolicyOcrReviewInput,
} from "@/lib/types";
@@ -180,8 +181,11 @@ export function PolicyOcrReview({ id }: { id: string }) {
{STATUS_LABEL[batch.status] ?? batch.status}
</p>
</div>
<Link className="btn btn-ghost" href="/polizas">
Volver a pólizas
{/* Back to the capture screen this batch was uploaded from, not to
the policy list — same as the statement review screen, which
returns to /recibos. */}
<Link className="btn btn-ghost" href="/polizas/captura">
Volver a captura
</Link>
</header>
@@ -351,17 +355,19 @@ function DocumentRow({ doc, customerIndex, canReview, onSave, onReject }: Docume
const locked = doc.status === "POSTED" || doc.status === "REJECTED";
const matchedExisting = !!doc.matchedPolicy;
const candidates = doc.matchCandidates ?? [];
const suggestions: PolicyOcrCustomerSuggestion[] = doc.customerSuggestions ?? [];
return (
<article className="card" style={{ padding: 16 }}>
<header className="row" style={{ gap: 12, alignItems: "center" }}>
<span className="tag">{STATUS_LABEL[doc.status] ?? doc.status}</span>
<span className="page-sub">Página {doc.pageNumber}</span>
{doc.extractedPolicyNumber && (
<strong style={{ marginLeft: 8 }}>{doc.extractedPolicyNumber}</strong>
)}
{/* No hand-rolled separators or margins here: `.row` is a flex
container and its gap does the spacing. A literal "· " would leave
a dot floating in that gap. */}
{doc.extractedPolicyNumber && <strong>{doc.extractedPolicyNumber}</strong>}
{doc.extractedInsuredName && (
<span className="page-sub">· {doc.extractedInsuredName}</span>
<span className="page-sub">{doc.extractedInsuredName}</span>
)}
{/* Read-only: the parser names the type, the confirm step resolves it
to a policy_types row. Reassigning it is the policy screen's job,
@@ -670,6 +676,34 @@ function DocumentRow({ doc, customerIndex, canReview, onSave, onReject }: Docume
</Field>
)}
{/*
* Name suggestions, never a preselection. The office writes
* customers surname-first and carriers print them given-name-first,
* so without this the reviewer retypes a name the parser already
* read. One click fills the picker above; nothing is chosen until
* they click. Kept outside the <Field> label — a label must not
* wrap other interactive controls.
*/}
{!policyId && !customerId && !locked && canReview && suggestions.length > 0 && (
<div className="row" style={{ gap: 8, flexWrap: "wrap" }}>
<span className="page-sub">Sugerencias por nombre:</span>
{suggestions.map((s) => (
<button
key={s.customerId}
type="button"
className="btn btn-ghost btn-sm"
onClick={() => {
setCustomerId(s.customerId);
setCustomerName(s.customerName);
}}
>
{s.customerName}
{s.tier === "PARTIAL" && <span className="page-sub"> · parcial</span>}
</button>
))}
</div>
)}
<label className="field">
<input
type="checkbox"
+13
View File
@@ -1477,6 +1477,18 @@ export interface PolicyOcrMatchCandidate {
policyNumber: string;
}
/**
* A customer whose name resembles the printed insured name. A suggestion,
* not a match — the API never preselects one.
*/
export interface PolicyOcrCustomerSuggestion {
customerId: string;
customerName: string;
/** `EXACT` = same name tokens in any order; `PARTIAL` = one contains the other. */
tier: "EXACT" | "PARTIAL";
score: number;
}
export interface PolicyOcrDocument {
id: string;
pageNumber: number;
@@ -1512,6 +1524,7 @@ export interface PolicyOcrDocument {
} | null;
matchedCustomer: { id: string; name: string } | null;
matchCandidates: PolicyOcrMatchCandidate[] | null;
customerSuggestions: PolicyOcrCustomerSuggestion[] | null;
matchNote: string | null;
}
+60
View File
@@ -134,6 +134,55 @@ customers do occur (one group policy bound by two related parties), and
picking arbitrarily would silently book the wrong coverage against the wrong
person.
### Name suggestions on the zero-hit path
When the policy number finds nothing — the new-policy case, where a human has
to pick a customer anyway — `name-matcher.ts` ranks the customer book against
the printed insured name and the review screen offers the top three as
one-click buttons above the picker. They are written to
`policy_ocr_documents.customerSuggestions`, deliberately **not** to
`matchCandidates`, so a name hint can never be read as a policy-number hit.
Nothing sets `matchedCustomerId`; the rule above is unchanged.
The problem is only ordering: the office books customers surname-first
(`WAGONER, PAMELA`) and carriers print them given-name-first
(`PAMELA DENISE WAGONER`), so a string compare never hits while a **token-set**
compare does. Names are normalized (accents folded, so OCR's `MUNOZ` reaches
the book's `MUÑOZ`; initials, `DE`/`LA`/`Y`, `JR`, `S.A. DE C.V.` and any token
containing a digit dropped — ANA prints the phone hard against the name as
`Ph.3102001538`). Two tiers:
| Tier | Rule |
|---|---|
| `EXACT` | identical token sets, any order |
| `PARTIAL` | one set contains the other, ≥2 shared tokens, **and** the surname is present |
Both thresholds come from measuring the real book (1536 customers):
- 1487 distinct token sets, so `EXACT` cross-person collisions are ~0
- loosen to surname + first given name and 131 customers (8.5%) collide —
the book holds `MCWILLIAMS, BRIAN MICHAEL` *and* `MCWILLIAMS, BRIAN`
- 185 surnames are shared by 524 customers, so one token is never evidence;
hence the ≥2 floor and the explicit surname requirement, which is what stops
`JERRY MARILYN` reaching `ESTRADA, JERRY & MARILYN` on given names alone
Replaying every book row as a carrier would print it (given-name-first, joint
spouse dropped): 97.9% top-ranked correct, 0.9% no suggestion, 1.2% a
different row — and all but two of those are the same human on a duplicate or
variant row (`MOLNAR, JANOS` vs `MOLNAR, JANOS`, `IBARRA, ISMAEL &`). The
two genuine wrong-person cases are `CUADROS, JORGE JR` against three
`CUADROS, JORGE H.`, and they appear as a tie in the list rather than as a
single answer.
A blob is refused outright (>8 tokens or >80 characters): GMX's especificación
has no field labels and the parser has been seen handing its whole first page
over as `insuredName`, which would find a surname somewhere in the prose.
`(SIN NOMBRE)` — 14 rows the migration left — is skipped on both sides.
**Not used for utility statements.** There the registrant genuinely is not the
customer (the `CATT, RANDY` finding above), so the same trick would be wrong,
not merely noisy.
## GMX ships two unrelated documents for the same policy
The office downloads both from the same portal, and either can land in a
@@ -457,6 +506,17 @@ term, the excluded sections, the column-position split on the driver's policy,
its different section order, and — for both faces — that a doubled or tripled
input yields one set of coverages and one driver rather than one per copy.
`apps/api/src/policy-ocr/name-matcher.spec.ts` — 21 cases on the customer name
suggestions, every fixture name lifted from the real book: the reversed name,
the printed middle name, the exact row outranking the row that merely contains
it, the joint account reached from one spouse (and refused when only given
names are printed), the Spanish double surname with the comma in either place,
the 54 rows with no comma at all, the `(SIN NOMBRE)` placeholder, a bare shared
surname, and the page-sized blob. Four more in
`policy-matcher.service.spec.ts` pin the wiring: suggestions on the zero-hit
and unreadable-number paths, no book read at all when the policy number hits,
and one book read across a batch.
Four of the GMX cases are regression tests for ways the parser can silently attach
the *wrong* value rather than none — a neighbouring coverage's prose read as
a deductible, the page-level `DEDUCIBLES:` paragraph read as one, a coverage
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "jorgecuadros-platform",
"version": "1.0.19",
"version": "1.0.22",
"private": true,
"workspaces": [
"apps/*",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@jorgecuadros/database",
"version": "1.0.19",
"version": "1.0.22",
"private": true,
"main": "generated/client/index.js",
"types": "generated/client/index.d.ts",
@@ -0,0 +1,7 @@
-- Ranked customers whose name matches the printed insured name, for the
-- documents whose policy number found nothing and therefore need a customer
-- picked by hand. Kept in its own column rather than folded into
-- `matchCandidates`, which the review screen reads as policy-number hits —
-- a name is a suggestion and must never be able to masquerade as a match.
ALTER TABLE `policy_ocr_documents`
ADD COLUMN `customerSuggestions` JSON NULL;
+7
View File
@@ -476,6 +476,13 @@ model PolicyOcrDocument {
/// normal; >1 means the policy number is shared across customers and a
/// human must pick.
matchCandidates Json?
/// `CustomerNameSuggestion[]` — customers whose name matches the printed
/// insured name, ranked. A SUGGESTION, never a match: it is deliberately
/// kept out of `matchCandidates` so the review screen cannot mistake a
/// name hint for a policy-number hit, and it never sets
/// `matchedCustomerId`. Only populated when the policy number found
/// nothing, which is exactly when staff have to pick a customer by hand.
customerSuggestions Json?
/// Text, not VARCHAR(191): this carries the parser's whole note trail, and
/// a multi-section ANA policy runs past 191 characters routinely. Silently
/// truncating it drops the tail notes, which are the ones that say what