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Marc-André Bombeck
fd104dd0ac
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.
docs/ — internal reference + operator playbooks
The user-facing documentation lives at https://docs.healthlog.dev — that's the canonical surface for self-hosting guides, integration walkthroughs, AI-provider setup, and the doctor-report workflow.
The files in this directory are the internal operator playbooks, audit notes, and machine-readable specs that ship alongside the source:
api/— the OpenAPI 3.1 spec for the native-client subset (iOS DTO codegen target). Seeapi/README.mdfor the preview commands. Also home to the MCP-server contract:api/mcp-capabilities.md(tools, resources, prompts, write model) andapi/mcp-skills.md(building a connector / skill).ops/— backup / restore + encryption-key-rotation playbooks. These are the runbooks an operator reaches for during an incident.self-hosting/— horizontal-scaling notes (HEALTHLOG_PROCESS_TYPE=web|worker|all) and the deploy-pipeline recipe. Routine install steps stay ondocs.healthlog.dev. Includesself-hosting/mcp.md— enabling the off-by-default MCP connector and pointing Claude.ai / ChatGPT / Claude Desktop at it, andself-hosting/sso.md— OIDC SSO login: IdP setup, the identity-pinning security model,OIDC_ONLYconsequences, and the break-glass runbook. Alsoself-hosting/geolite2.md— bringing your own offline GeoLite2 databases viaGEOLITE2_DIRinstead of sending login IPs to a third-party lookup. Andself-hosting/account-sharing.md— letting one account on the instance open another's health record: the three access levels, the eight sections a grant can be narrowed to, managed profiles for somebody with no login and the guardians who look after them, what revocation does and does not undo, and which trust properties of the instance are unchanged by any of it.migration/— release-by-release migration notes. Read the entry for the version you're upgrading from.audit/— per-release audit summaries archived for forensic traceability.apple-store-connect-checklist.md— the iOS submission gate.doctor-report.md— PDF generator design notes.codex-protocol-spec.md— Codex / ChatGPT OAuth protocol reverse-engineering notes.ui-guidelines.md— UI / a11y house style.
If you're a self-hoster looking to spin up an instance, start at https://docs.healthlog.dev or jump to the Quick Start in the project README.