feat(documents): review and extract lab values on the document itself

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.

src/lib/validations/inbound-documents.ts

@@ -488,6 +488,22 @@ export const inboundTextExtractSchema = z.object({
 
 export type InboundTextExtractInput = z.infer<typeof inboundTextExtractSchema>;
 
+/**
+ * The stored-text extract body: structure the document's OWN stored extracted
+ * text (the content index the read/index step already produced) into staged
+ * facts — no re-upload, no second read of the original. The document detail's
+ * "Extract lab values" action posts this when an automatic staging run was
+ * skipped or failed; the server refuses with `documents.inbound.notIndexed`
+ * when there is no stored text to structure.
+ */
+export const inboundStoredExtractSchema = z.object({
+  mode: z.literal("stored"),
+});
+
+export type InboundStoredExtractInput = z.infer<
+  typeof inboundStoredExtractSchema
+>;
+
 // ─── Library: store / edit / list ──────────────────────────────────────────
 
 /** A bare YYYY-MM-DD date string (no time component). */