mirror of
https://github.com/MBombeck/HealthLog.git
synced 2026-11-09 04:50:59 +00:00
The server chain existed end to end (extract stages PENDING facts, per-fact
edit clears the low-confidence gate, confirm is the only write into the
structured stores) but the document detail offered no control over any of
it: it counted observation facts and linked to Labs. A user whose automatic
staging run was skipped had to re-upload the same PDF through Labs > Scan a
report.
- The detail sheet gains a staged-facts block with honest states: pending
facts open an inline review (approve/reject per fact; a low-confidence
fact is checked and saved first via the existing per-fact edit); a
lab-filed, already-read document with nothing staged offers "Extract lab
values" over its stored text; otherwise nothing renders.
- The extract route gains { mode: "stored" }: the same text-structuring
pass the automatic worker runs, over the document's own content index.
No re-upload, no second read of the original; full gauntlet including
the shared document-AI bucket with charge-at-dispatch honesty; 422
notIndexed when no stored text exists.
- A manual "Read with AI" / "Read again" now continues into the same
lab auto-staging the background worker performs; the response reports
labFactsStaged and the toast names the values waiting for review.
- Unchecked values are rejected and the copy says so; an unverified
low-confidence fact receives no decision and stays pending rather than
being silently discarded. Confirmation remains the only write into
Labs, conditions, and medications; approved facts carry the
committedRecordId link back to the source document (existing model, no
schema change).
- The "lab values from this document" link now counts APPROVED facts
only — it claims values that actually exist in Labs.
- Copy in all six locales; OpenAPI regenerated for the new extract mode
and the index response field.
209 lines
7.3 KiB
TypeScript
209 lines
7.3 KiB
TypeScript
"use client";
|
|
|
|
/**
|
|
* v1.27.22 (Document vault P2) — client hooks for the review-first AI layer on
|
|
* a stored document: the shared capability probe, filing-metadata suggestions,
|
|
* and the session-only summary / extracted text.
|
|
*
|
|
* Every affordance is gated on `usage.assistAvailable` at the call site; these
|
|
* hooks only RUN the call once the surface has decided to offer it. The
|
|
* transport (VISION vs local-OCR TEXT) comes from `document-ai-transport`.
|
|
*
|
|
* NOTHING here writes a document row. Suggestions are drafts the detail sheet
|
|
* prefills; the summary is transient. The only mutation is the caller applying
|
|
* a reviewed draft through the existing edit-on-commit machinery.
|
|
*/
|
|
import { useCallback } from "react";
|
|
|
|
import { useMutation, useQuery } from "@tanstack/react-query";
|
|
|
|
import { apiGet, ApiError } from "@/lib/api/api-fetch";
|
|
import { useTranslations } from "@/lib/i18n/context";
|
|
import { queryKeys } from "@/lib/query-keys";
|
|
import type {
|
|
DocumentAiCapabilityDto,
|
|
DocumentSuggestionDto,
|
|
DocumentSummaryMode,
|
|
} from "@/lib/validations/inbound-documents";
|
|
|
|
import {
|
|
DocumentAssistClientError,
|
|
runDocumentAi,
|
|
type DocumentAiMode,
|
|
type DocumentAiTarget,
|
|
} from "./document-ai-transport";
|
|
|
|
/** The describe result: raw text, or a summary plus its storage outcome. */
|
|
export type DocumentDescribeResult =
|
|
| {
|
|
summary: string;
|
|
persistence?: "stored" | "withheld" | "failed";
|
|
}
|
|
| { text: string };
|
|
|
|
/**
|
|
* The document-scoped AI capability probe (`/api/documents/inbound/capability`).
|
|
* Resolved over the DOCUMENT provider order (local-first, codex last), so the
|
|
* transport `mode` + PDF support match what the document routes do, and it
|
|
* carries the vendor-blind `egress` class the detail sheet uses to warn before a
|
|
* read leaves the machine. Availability of the affordance itself is still gated
|
|
* on `usage.assistAvailable`.
|
|
*/
|
|
export function useDocumentAiCapability(enabled: boolean) {
|
|
return useQuery<DocumentAiCapabilityDto>({
|
|
queryKey: queryKeys.inboundDocumentAiCapability(),
|
|
queryFn: () =>
|
|
apiGet<DocumentAiCapabilityDto>("/api/documents/inbound/capability"),
|
|
enabled,
|
|
staleTime: 60_000,
|
|
});
|
|
}
|
|
|
|
/** The per-user "read documents automatically with AI" opt-in. */
|
|
export interface DocumentsAutoAiReadPref {
|
|
documentsAutoAiRead: boolean;
|
|
}
|
|
|
|
/**
|
|
* Read the per-user auto-AI-read flag (`GET /api/auth/me/documents-auto-ai-read`).
|
|
* Shares the cache key with the AI-settings toggle, so a flip there and this
|
|
* read stay in lockstep. When ON, reading happens automatically on upload and
|
|
* the detail sheet drops the manual per-document AI action row.
|
|
*/
|
|
export function useDocumentsAutoAiRead(enabled: boolean) {
|
|
return useQuery<DocumentsAutoAiReadPref>({
|
|
queryKey: queryKeys.documentsAutoAiRead(),
|
|
queryFn: () =>
|
|
apiGet<DocumentsAutoAiReadPref>("/api/auth/me/documents-auto-ai-read"),
|
|
enabled,
|
|
staleTime: 60_000,
|
|
});
|
|
}
|
|
|
|
/**
|
|
* Suggest filing metadata for a stored document. Returns DRAFTS only — the
|
|
* detail sheet prefills its edit fields and the user saves; this call writes
|
|
* nothing.
|
|
*/
|
|
export function useSuggestDetails() {
|
|
return useMutation<
|
|
DocumentSuggestionDto,
|
|
Error,
|
|
{ mode: DocumentAiMode; target: DocumentAiTarget }
|
|
>({
|
|
mutationFn: async ({ mode, target }) => {
|
|
const data = await runDocumentAi<{ suggestions: DocumentSuggestionDto }>({
|
|
path: `/api/documents/inbound/${target.documentId}/suggest`,
|
|
mode,
|
|
target,
|
|
});
|
|
return data.suggestions;
|
|
},
|
|
});
|
|
}
|
|
|
|
/**
|
|
* On-demand summary or extracted text. Both stay transient unless the document
|
|
* summary block explicitly requests persistence or replacement.
|
|
*/
|
|
export function useDocumentSummary() {
|
|
return useMutation<
|
|
DocumentDescribeResult,
|
|
Error,
|
|
{
|
|
mode: DocumentAiMode;
|
|
target: DocumentAiTarget;
|
|
output: DocumentSummaryMode;
|
|
persist?: boolean;
|
|
replace?: boolean;
|
|
}
|
|
>({
|
|
mutationFn: ({ mode, target, output, persist = false, replace = false }) =>
|
|
runDocumentAi<DocumentDescribeResult>({
|
|
path: `/api/documents/inbound/${target.documentId}/summary?mode=${output}${persist ? "&persist=true" : ""}${replace ? "&replace=true" : ""}`,
|
|
mode,
|
|
target,
|
|
}),
|
|
});
|
|
}
|
|
|
|
/**
|
|
* Map an AI error to a translation key. Server errors carry a stable
|
|
* `meta.errorCode`; client-side precondition failures carry a `reason`. The
|
|
* default is the calm "try again" message — never a raw provider string.
|
|
*/
|
|
/**
|
|
* The actual wait, in whole minutes, behind a document-AI 429. The routes
|
|
* mirror the bucket's reset instant into the error meta (`retryAt`, ISO 8601);
|
|
* the window is an hour, so a fixed "try again in a few minutes" understated
|
|
* the wait for most of it. Null when the error is not a document-AI rate-limit
|
|
* response or carries no usable instant — the caller falls back to the generic
|
|
* copy. Floored at one minute: a reset seconds away still reads as "about
|
|
* 1 minute", never "0 minutes".
|
|
*/
|
|
export function documentAiRetryMinutes(err: unknown): number | null {
|
|
if (!(err instanceof ApiError)) return null;
|
|
if (err.meta?.errorCode !== "documents.inbound.rateLimited") return null;
|
|
const raw = err.meta?.retryAt;
|
|
if (typeof raw !== "string") return null;
|
|
const at = Date.parse(raw);
|
|
if (!Number.isFinite(at)) return null;
|
|
return Math.max(1, Math.ceil((at - Date.now()) / 60_000));
|
|
}
|
|
|
|
/**
|
|
* Resolve a document-AI error to the user-facing sentence. Rate-limited
|
|
* responses derive their copy from the ACTUAL reset instant ("try again in
|
|
* about N minutes"); everything else maps through `documentAiErrorKey`. The
|
|
* result is final text — callers render or toast it as-is.
|
|
*/
|
|
export function useDocumentAiErrorText(): (err: unknown) => string {
|
|
const { t, tCount } = useTranslations();
|
|
return useCallback(
|
|
(err: unknown) => {
|
|
const minutes = documentAiRetryMinutes(err);
|
|
if (minutes !== null) {
|
|
return tCount("documents.assist.errorRateLimitedWait", minutes);
|
|
}
|
|
return t(documentAiErrorKey(err));
|
|
},
|
|
[t, tCount],
|
|
);
|
|
}
|
|
|
|
export function documentAiErrorKey(err: unknown): string {
|
|
if (err instanceof DocumentAssistClientError) {
|
|
switch (err.reason) {
|
|
case "textImageOnly":
|
|
return "documents.assist.errorTextImageOnly";
|
|
case "ocr":
|
|
return "documents.assist.errorOcr";
|
|
default:
|
|
return "documents.assist.errorGeneric";
|
|
}
|
|
}
|
|
if (err instanceof ApiError) {
|
|
const code =
|
|
typeof err.meta?.errorCode === "string" ? err.meta.errorCode : "";
|
|
switch (code) {
|
|
case "documents.inbound.rateLimited":
|
|
return "documents.assist.errorRateLimited";
|
|
case "documents.inbound.budgetExceeded":
|
|
return "documents.assist.errorBudget";
|
|
case "documents.inbound.pdfNeedsAnthropic":
|
|
return "documents.assist.errorPdfNeedsVision";
|
|
case "documents.inbound.fileType":
|
|
return "documents.assist.errorFileType";
|
|
case "documents.inbound.localOcrDisabled":
|
|
return "documents.assist.errorLocalOcrDisabled";
|
|
case "documents.inbound.providerUnsupported":
|
|
return "documents.assist.errorProvider";
|
|
case "documents.inbound.notIndexed":
|
|
return "documents.assist.errorNotIndexed";
|
|
default:
|
|
return "documents.assist.errorGeneric";
|
|
}
|
|
}
|
|
return "documents.assist.errorGeneric";
|
|
}
|