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HealthLog/src/lib/openapi/routes/documents.ts
T
Marc-André Bombeck eb1779d5c1 fix(documents): close v1.25.1 library QA findings (backend)
Default documentDate at store time. A store-only upload no longer lands
with a NULL filing date: when the client omits one, default it to the
upload day so the column is always set on a stored row. The library list
sorts, groups, and range-filters on the same effective date the UI shows,
so undated uploads no longer mis-sort under nulls-last, break date-group
headers, or fall through the range filter. The date stays user-editable
and may be cleared back to NULL via PATCH.

Block re-extraction once any fact is APPROVED. A partially-confirmed
document stays EXTRACTED, which the CONFIRMED guard does not catch;
re-extracting would delete the approved facts (severing the committed
record's provenance) and re-stage them as PENDING, letting a second
approval duplicate the committed lab / condition / medication. The
extract route now refuses with 409 (documents.inbound.alreadyPartlyConfirmed)
when approved facts exist; the user must finish reviewing or discard first.

RFC 5987-encode the original-download filename. The Content-Disposition
now carries both an ASCII filename= fallback and a filename*=UTF-8'' value
so a non-ASCII name survives intact; the stored set is inline-safe by
construction, so the dead attachment branch is removed.

Add a light per-user rate-limit backstop to the original-read, PATCH, and
DELETE routes (generous; self-DoS only — the routes are owner-scoped).

Lean the list counts: tally facts for the whole page in one grouped count
instead of materialising fact-id rows, and exclude REJECTED facts from
factCount. Extend the documentDate index with deleted_at to cover the
list scan. Document the deliberate plaintext-title PHI tradeoff at the
column and the store site.
2026-06-28 23:48:43 +02:00

495 lines
17 KiB
TypeScript

/**
* OpenAPI route table for the documents library (`/api/documents/inbound/*`).
*
* Part of the OpenAPI route table; aggregated in `./index.ts`. The confirm +
* edit + list request bodies reuse the runtime schemas from
* `@/lib/validations/inbound-documents` so the wire contract stays
* single-source.
*
* The v1.25.x library inverts the original OCR-inbox: upload is STORE-ONLY and
* provider-free (a file is always filable, encrypted at rest); AI extraction is
* a separate, opt-in action on an already-stored document. Extraction
* reproduces what the document states (stated codes/status only) into a staging
* area — it never interprets or diagnoses. Nothing reaches the structured
* stores until the confirm route commits the user's approvals; a low-confidence
* fact fails closed.
*/
import type { ZodOpenApiObject } from "zod-openapi";
import { z } from "zod/v4";
import {
documentUpdateSchema,
inboundConfirmSchema,
inboundFactEditSchema,
INBOUND_DOCUMENT_KINDS,
INBOUND_DOCUMENT_STATUSES,
} from "@/lib/validations/inbound-documents";
import { dataEnvelope, errorEnvelope, stdResponses } from "./shared";
const kindEnum = z.enum(INBOUND_DOCUMENT_KINDS);
const statusEnum = z.enum(INBOUND_DOCUMENT_STATUSES);
inboundConfirmSchema.meta({
id: "InboundConfirmRequest",
description:
"The approve/reject decisions a human made on the review screen. Each names a staged fact by id. Approved facts are committed to the structured stores (labs / conditions / medications) through their normal create paths; rejected facts are discarded. A fact still flagged `needsReview` (below the confidence floor, never edited) cannot be approved — it is reported back as `needsReview`. No `userId` field — it is narrowed from the session; every fact id is re-scoped to the document + caller.",
});
inboundFactEditSchema.meta({
id: "InboundFactEditRequest",
description:
"A correction to a staged fact before approval (fixes OCR / units / dates / codes). Discriminated by `factType` so the edit cannot change the fact's resource type. A successful edit clears `needsReview` — the values become user-asserted.",
});
documentUpdateSchema.meta({
id: "DocumentUpdateRequest",
description:
"Metadata edit for a stored document: `title` (user label; null clears it), `kind` (category), `documentDate` (user filing date, YYYY-MM-DD; null clears it). At least one field required. No `userId` field — narrowed from the session and fed to the Prisma `where` with the row id.",
});
const factProvenance = z.object({
sourceText: z.string(),
page: z.number().nullable(),
confidence: z.number(),
});
const extractedFact = z
.object({
id: z.string(),
factType: z.enum(["CONDITION", "OBSERVATION", "MEDICATION_STATEMENT"]),
status: z.enum(["PENDING", "APPROVED", "REJECTED"]),
confidence: z.number(),
needsReview: z.boolean(),
data: z.record(z.string(), z.unknown()),
provenance: factProvenance,
committedRecordId: z.string().nullable(),
committedRecordType: z.string().nullable(),
})
.meta({
id: "ExtractedFact",
description:
"One STATED fact transcribed from the document, FHIR-staged (Condition / Observation / MedicationStatement) with per-field provenance + a confidence gate. STATED status only — codes (SNOMED/ICD-10/LOINC/RxNorm/ATC) are present only when the document wrote them; no range-flag, no inferred links. `needsReview` is true when the fact scored below the confidence floor (it cannot be approved until edited).",
});
const inboundDocument = z
.object({
id: z.string(),
kind: kindEnum,
title: z.string().nullable(),
filename: z.string().nullable(),
mimeType: z.string(),
byteSize: z.number(),
status: statusEnum,
providerType: z.string().nullable(),
reportDate: z.string().nullable(),
documentDate: z.string().nullable(),
errorReason: z.string().nullable(),
factCount: z.number(),
pendingCount: z.number(),
createdAt: z.string(),
updatedAt: z.string(),
})
.meta({
id: "InboundDocument",
description:
"A stored document. The raw bytes are stored encrypted at rest and never returned; this is the metadata + staging summary. `status` is STORED for a freshly uploaded file (no extraction run). `title` is the user label (plaintext); `documentDate` is the user filing date; `reportDate` is the model-transcribed date (null until extraction runs).",
});
const inboundDocumentDetail = inboundDocument
.extend({ facts: z.array(extractedFact) })
.meta({ id: "InboundDocumentDetail" });
const listResponse = z
.object({
documents: z.array(inboundDocument),
nextCursor: z.string().nullable(),
})
.meta({
id: "InboundDocumentList",
description:
"A page of documents plus an opaque `nextCursor` (the id to pass back as `cursor` for the next page; null when the list is exhausted).",
});
const confirmResponse = z
.object({
approved: z.array(
z.object({
factId: z.string(),
recordType: z.string(),
recordId: z.string(),
}),
),
rejected: z.array(z.string()),
needsReview: z.array(z.string()),
failed: z.array(z.object({ factId: z.string(), reason: z.string() })),
})
.meta({
id: "InboundConfirmResponse",
description:
"The outcome per decision: `approved` (committed, with the new record ref), `rejected` (discarded), `needsReview` (refused — edit first, fail-closed), `failed` (a per-fact commit miss, e.g. a numeric observation with no unit).",
});
const kindValues = [...INBOUND_DOCUMENT_KINDS];
export const inboundDocumentPaths: NonNullable<ZodOpenApiObject["paths"]> = {
"/api/documents/inbound": {
get: {
tags: ["Documents"],
summary: "List stored documents",
description:
"The caller's stored documents with title/filename search, category filter, a `documentDate` range, sort, and keyset pagination. Owner-scoped; gated on the opt-in `inboundDocuments` module.",
parameters: [
{
name: "q",
in: "query",
required: false,
schema: { type: "string", maxLength: 100 },
description: "Case-insensitive search over title + filename.",
},
{
name: "kind",
in: "query",
required: false,
schema: { type: "string", enum: kindValues },
description: "Category filter.",
},
{
name: "from",
in: "query",
required: false,
schema: { type: "string", format: "date" },
description: "Inclusive lower bound on documentDate (YYYY-MM-DD).",
},
{
name: "to",
in: "query",
required: false,
schema: { type: "string", format: "date" },
description: "Inclusive upper bound on documentDate (YYYY-MM-DD).",
},
{
name: "sort",
in: "query",
required: false,
schema: {
type: "string",
enum: ["documentDate", "createdAt", "title"],
default: "documentDate",
},
},
{
name: "order",
in: "query",
required: false,
schema: { type: "string", enum: ["asc", "desc"], default: "desc" },
},
{
name: "cursor",
in: "query",
required: false,
schema: { type: "string" },
description: "Keyset cursor (the `nextCursor` from a prior page).",
},
{
name: "limit",
in: "query",
required: false,
schema: {
type: "integer",
minimum: 1,
maximum: 100,
default: 50,
},
},
],
responses: {
"200": {
description: "A page of documents.",
content: {
"application/json": {
schema: dataEnvelope(listResponse, "InboundDocumentListEnvelope"),
},
},
},
...stdResponses,
},
},
post: {
tags: ["Documents"],
summary: "Store a document (no extraction)",
description:
"STORE-ONLY upload. Stores the raw document ENCRYPTED at rest with `status: STORED` and runs NO extraction — provider-free, no AI consent / budget / egress. A file is always filable, even with no document-scan provider configured. `multipart/form-data`: a `file` (JPEG/PNG/WebP/PDF, validated by magic-byte MIME sniff, ≤ 12 MiB) plus optional `title`, `kind`, and `documentDate` (YYYY-MM-DD) form fields. AI extraction is a separate opt-in action — see `POST /api/documents/inbound/{id}/extract`.",
requestBody: {
required: true,
content: {
"multipart/form-data": {
schema: z.object({
file: z.string().meta({
format: "binary",
description:
"The document image or PDF. Validated by magic-byte MIME sniff, not the wire Content-Type.",
}),
title: z
.string()
.optional()
.meta({ description: "Optional user label." }),
kind: kindEnum
.optional()
.meta({ description: "Optional category." }),
documentDate: z.string().optional().meta({
description:
"Optional user filing date (YYYY-MM-DD). Defaults to the upload day when omitted so the library sort/filter/display stay aligned.",
}),
}),
},
},
},
responses: {
"201": {
description: "The stored document.",
content: {
"application/json": {
schema: dataEnvelope(inboundDocument, "InboundDocumentEnvelope"),
},
},
},
...stdResponses,
},
},
},
"/api/documents/inbound/{id}": {
get: {
tags: ["Documents"],
summary: "Get a document + its staged facts",
description:
"The document plus every staged fact for the review screen. Owner-scoped.",
parameters: [
{
name: "id",
in: "path",
required: true,
schema: { type: "string" },
},
],
responses: {
"200": {
description: "Document detail.",
content: {
"application/json": {
schema: dataEnvelope(
inboundDocumentDetail,
"InboundDocumentDetailEnvelope",
),
},
},
},
...stdResponses,
},
},
patch: {
tags: ["Documents"],
summary: "Edit a document's metadata",
description:
"Rename / recategorise / set the user filing date on a stored document. Owner-scoped; no mass assignment. Returns the updated document + its staged facts.",
parameters: [
{
name: "id",
in: "path",
required: true,
schema: { type: "string" },
},
],
requestBody: {
required: true,
content: { "application/json": { schema: documentUpdateSchema } },
},
responses: {
"200": {
description: "The updated document.",
content: {
"application/json": {
schema: dataEnvelope(
inboundDocumentDetail,
"InboundDocumentUpdateEnvelope",
),
},
},
},
...stdResponses,
},
},
delete: {
tags: ["Documents"],
summary: "Discard a document",
description:
"Soft-deletes the document + its staging. Facts already approved into the structured stores are independent rows and are NOT affected.",
parameters: [
{
name: "id",
in: "path",
required: true,
schema: { type: "string" },
},
],
responses: {
"200": {
description: "Discarded.",
content: {
"application/json": {
schema: dataEnvelope(
z.object({ id: z.string(), discarded: z.boolean() }),
"InboundDiscardEnvelope",
),
},
},
},
...stdResponses,
},
},
},
"/api/documents/inbound/{id}/original": {
get: {
tags: ["Documents"],
summary: "View / download the original document",
description:
"Decrypts and serves the raw uploaded document (the bytes stored encrypted at rest under `InboundDocument.contentEncrypted`). Owner-scoped + gated on the opt-in `inboundDocuments` module. Uploads are constrained at the store path to the inline-safe set (JPEG / PNG / WebP / PDF), so the document is always served `Content-Disposition: inline` for in-tab rendering; a non-ASCII filename is carried via RFC 5987 `filename*`. Fails closed (500) on a decrypt error — it never returns the ciphertext.",
parameters: [
{
name: "id",
in: "path",
required: true,
schema: { type: "string" },
},
],
responses: {
"200": {
description:
"The decrypted original document bytes with the stored MIME type.",
content: {
"application/pdf": {
schema: { type: "string", format: "binary" },
},
"image/*": {
schema: { type: "string", format: "binary" },
},
},
},
...stdResponses,
},
},
},
"/api/documents/inbound/{id}/extract": {
post: {
tags: ["Documents"],
summary: "Extract facts from a stored document",
description:
'Optional AI enhancement on an already-stored document. Runs the dedicated OCR/vision provider over the stored original and stages STRUCTURED FACTS for review. AI-consent / rate / budget gated. With no provider configured this returns 422 (`documents.inbound.providerUnsupported`) — the stored document is untouched, only the enhancement fails. Two modes by content-type: VISION (empty body) decrypts and scans the stored original (PDF needs an Anthropic vision provider); TEXT (`application/json`, opt-in local OCR) `{ mode: "text", text }` structures browser-OCR\'d text. Extraction reproduces what the document states — it never interprets. Nothing reaches the structured stores here; the confirm route is the only write path.',
parameters: [
{
name: "id",
in: "path",
required: true,
schema: { type: "string" },
},
],
requestBody: {
required: false,
content: {
"application/json": {
schema: z
.object({
mode: z.literal("text"),
text: z.string(),
kind: kindEnum.optional(),
})
.meta({ id: "InboundTextExtractRequest" }),
},
},
},
responses: {
"200": {
description: "The document with its newly staged facts.",
content: {
"application/json": {
schema: dataEnvelope(
inboundDocumentDetail,
"InboundExtractEnvelope",
),
},
},
},
"409": {
description:
"Re-extraction refused: at least one fact on this document is already APPROVED. `meta.errorCode` = `documents.inbound.alreadyPartlyConfirmed`. Re-extracting would sever committed-record provenance and duplicate committed records, so the user must finish reviewing or discard the document first.",
content: { "application/json": { schema: errorEnvelope } },
},
...stdResponses,
},
},
},
"/api/documents/inbound/{id}/facts/{factId}": {
patch: {
tags: ["Documents"],
summary: "Edit a staged fact before approval",
description:
"Corrects OCR / units / dates / codes on a pending fact. Clears `needsReview` (the values become user-asserted). The fact's resource type cannot change.",
parameters: [
{ name: "id", in: "path", required: true, schema: { type: "string" } },
{
name: "factId",
in: "path",
required: true,
schema: { type: "string" },
},
],
requestBody: {
required: true,
content: { "application/json": { schema: inboundFactEditSchema } },
},
responses: {
"200": {
description: "The updated fact.",
content: {
"application/json": {
schema: dataEnvelope(extractedFact, "ExtractedFactEnvelope"),
},
},
},
...stdResponses,
},
},
},
"/api/documents/inbound/{id}/confirm": {
post: {
tags: ["Documents"],
summary: "Confirm the review decisions",
description:
"The ONLY write path out of staging. Commits the user's approvals into the structured stores (labs / conditions / medications) and discards rejections. A low-confidence fact that was never edited cannot be approved (fail-closed). Idempotent (Idempotency-Key). Audits as `documents.inbound.confirm`.",
parameters: [
{
name: "id",
in: "path",
required: true,
schema: { type: "string" },
},
],
requestBody: {
required: true,
content: { "application/json": { schema: inboundConfirmSchema } },
},
responses: {
"200": {
description: "Per-decision outcome.",
content: {
"application/json": {
schema: dataEnvelope(confirmResponse, "InboundConfirmEnvelope"),
},
},
},
...stdResponses,
},
},
},
};