Marc-André Bombeck
1c3c733fab
The first live sync on v1.27.4 imported every list-based type but died on
the first cumulative chunk: fetchSteps(chunk=0,page=0) returned
HTTP 400 INVALID_ARGUMENT "Invalid argument in request.".
Re-verified the request contract against the v4 reference:
- Request body (users.dataTypes.dataPoints/dailyRollUp): range
{ start/end: CivilDateTime }, windowSizeDays, pageSize, pageToken,
dataSourceFamily - every field the client sends is legal under that
exact name.
- CivilDateTime (inlined on the DataPoint page): nested
{date:{year,month,day}, time:{hours,minutes,seconds,nanos}} objects.
- range: "Required. Closed-open range of data points that will be rolled
up. The start time must be aligned with the aggregation window. The
maximum range for calories-in-heart-rate-zone, heart-rate,
active-minutes and total-calories is 14 days. The maximum range for
all other data types is 90 days." - steps / distance / active-energy /
floors sit in the 90-day class, so the 90-day chunk constant stands
(the in-file "14-day-max" note applies to heart-rate only).
- The worked dailyRollUp example (developers.google.com/health/endpoints)
rolls up ONE civil day as start = {date: day, time: 00:00:00} and
end = {date: SAME day, time: 23:59:59} - the end bound names the last
covered day, not the next day's midnight.
The previous body sent end = {date: <next day>} with no time object, so
a maximal 90-day chunk touched 91 civil dates - the one divergence from
the documented example, and the prime suspect for the 400 (the docs do
not spell out how the cap counts days).
- buildDailyRollUpBody() pins the documented shape: explicit date+time
on both bounds, end = last covered day at 23:59:59, windowSizeDays: 1,
no pageSize (the documented default of 1440 covers the <=90 windows a
chunk can produce), pageToken threaded on follow-up pages.
- fetchDailyRollUp() keeps 90-day chunking; if the very FIRST request of
a walk is rejected with a 400 it re-walks the range once at the most
conservative documented span (14 days, the tightest cap the docs state
for any type) and annotates googleHealth.rollup.shape with the shape
that succeeded, so the next live sync reports which constraint binds.
- extractGoogleApiErrorDetail() surfaces AIP-193 error.details[]
BadRequest fieldViolations as "field: description" fragments (field
paths and descriptions only, redacted and capped at three), so the
next 400 names the offending request field in the logs instead of the
bare "Invalid argument in request.".
- mapping.md documents the verified range semantics; unit tests pin the
exact body JSON, the 90/91-day boundary, the fallback walk and the
violation extraction.
HealthLog
Self-hosted, privacy-first health tracking. Your vitals, your devices, your server.
Website · Live Demo · Documentation · iOS TestFlight
Why HealthLog
HealthLog is a self-hosted health tracking app (PWA + native iOS client) that runs from a single docker compose up on a NAS, homelab, or small VPS. It brings weight, blood pressure, pulse, blood glucose, body composition, sleep, mood, menstrual cycle, and medications onto one timeline — synced from the devices you already own — and keeps everything encrypted at rest on hardware you control. No vendor cloud, no subscription, no telemetry.
HealthLog is a personal health record-keeping and wellness tool. It is not a medical device and does not diagnose, treat, cure, or prevent any disease — it helps you log, visualise, and export your own data, and leaves clinical judgement to a clinician.
Try the live demo to see a working install — sign in with demo / demo123demo123.
Highlights
- Every vital on one timeline. Weight, blood pressure, pulse, glucose, body composition, sleep, SpO₂, respiratory rate, mood, and cycle tracking — charted with trends, moving averages, and clinical reference ranges (ESH 2023, ADA 2024), overridable with the targets your clinician set.
- Clinical signals, opt-in and additive. Validated mental-wellbeing self-checks (PHQ-9, GAD-7) that sit beside mood tracking with calm crisis-resource handling, grip strength, a 0–10 pain score, waist and body measurements, and a longevity lab panel — each added through one signal registry, so a new signal wires into charts, correlations, the coach, the FHIR map, and the API at once.
- Records and the documents you're handed. Structured allergies and family history (encrypted), lab values you key in or scan, and inbound documents — discharge letters and reports — read to extract the facts they state (values, codes, dates) for you to review and confirm. HealthLog transcribes what a document says; it never interprets or diagnoses from it. (Immunization records are deliberately out of scope.)
- Context that explains the numbers. An opt-in environmental module folds weather, daylight, and temperature in as influence signals (winter darkness against mood, heat against blood pressure) using a home location you set, so a pattern has somewhere to point.
- Your devices, one server. Withings, WHOOP, Oura and Polar sync over OAuth2, Fitbit connects experimentally over the Fitbit Web API, an Apple Health
export.zipfolds your full history in, and the native iOS app streams HealthKit live. A per-metric source priority decides which reading is canonical when wearables overlap. - Medication tracking that tells the truth. Flexible schedules (weekly injections, weekday-only, intervals, PRN, cyclic), a configurable intake window per dose, and a traceable dose history where every slot reads taken, late, skipped, or missed — the same ledger the compliance rate is computed from, so the percentage can never disagree with the timeline.
- AI insights you own. Daily briefing, health scores, correlations, and a conversational coach grounded in your own measurements, with calm proactive check-ins it suppresses when there's nothing genuine to say. The coach describes your data, never diagnoses. Bring your own OpenAI or Anthropic key, or point at a local endpoint (Ollama, LM Studio, vLLM) so nothing leaves your network.
- Clinician-ready output. A doctor-report PDF generated client-side, a read-only HL7 FHIR R4 API, and scoped, time-limited share links you revoke after the visit.
- Private by construction. AES-256-GCM encryption at rest with zero-downtime key rotation, passkey login, server-side sessions, strict CSP — and no third-party tracking anywhere.
- Built to be lived in. Installable PWA with offline support, medication reminders over APNs, Telegram, ntfy, and Web Push, a sub-second dashboard on years of imported history, English and German end to end.
The full feature tour, integration guides, and API reference live at docs.healthlog.dev.
Quick start (Docker Compose)
git clone https://github.com/MBombeck/HealthLog.git && cd HealthLog
cp .env.example .env
# Generate the three secrets (each a 64-char hex string = 32 bytes):
echo "POSTGRES_PASSWORD=$(openssl rand -hex 32)" >> .env
echo "ENCRYPTION_KEY=$(openssl rand -hex 32)" >> .env
echo "API_TOKEN_HMAC_KEY=$(openssl rand -hex 32)" >> .env
# LAN / plain-HTTP host (NAS, homelab, Tailscale) — required, or login fails:
echo "SESSION_COOKIE_SECURE=false" >> .env
docker compose up -d
Open http://localhost:3000 (or http://<host>:3000) — the first registered user becomes admin. The compose file pulls a pre-built multi-arch image (amd64 + arm64) from GHCR; no build step required.
Verify the running version:
curl -s http://localhost:3000/api/version # returns version + buildSha + builtAt
SESSION_COOKIE_SECURE=false is the one setting plain-HTTP self-hosts must set: without it the session cookie carries the Secure flag, the browser drops it over HTTP, and login silently fails. Leave it unset (or true) only when a TLS reverse proxy serves HTTPS — and then set NEXT_PUBLIC_APP_URL and APP_URL to the public URL first (see the self-hosting guide).
Persistent state lives in exactly one named volume (pgdata, the Postgres data dir); the app container is stateless, so backing up the database backs up everything.
NAS and homelab users have ready-made paths: Unraid Community Applications and Portainer app templates.
Self-hosting
One container hosts both the web server and the job worker by default; split them via HEALTHLOG_PROCESS_TYPE=web|worker for horizontal scale. Encrypted daily backups to any S3-compatible bucket are opt-in via the admin panel, new users join by invite link or QR code, and the stack works out of the box behind Caddy, Traefik, Nginx, or Coolify.
HealthLog ships releases roughly weekly. Pin a tag, back up before upgrades, and skim the CHANGELOG before pulling latest. The operator manual — reverse proxy, migrations, encryption-key rotation, backup and restore — lives at docs.healthlog.dev.
Native iOS app
A SwiftUI companion in public beta via TestFlight, built on the same API as the web client: live HealthKit two-way sync, medication reminders with action buttons that work without opening the app, and an on-device coach on Apple-Intelligence-capable iPhones. Code lives in MBombeck/healthlog-iOS.
Tech stack
Next.js 16 (App Router, React Server Components), TypeScript strict, PostgreSQL 16 with Prisma, pg-boss for jobs, Tailwind CSS 4 + shadcn/ui, Recharts, WebAuthn passkeys, Vitest + Playwright, multi-stage Alpine Docker image. The OpenAPI 3.1 contract for native clients is generated from the Zod schemas at docs/api/openapi.yaml.
Documentation
| User and operator docs | docs.healthlog.dev |
| Release history | CHANGELOG.md |
| API contract | docs/api/openapi.yaml |
| Security policy | SECURITY.md |
| Contributing | CONTRIBUTING.md |
Status
Actively developed — new releases roughly weekly, issue reports and PRs welcome. Behaviour and schema can change between versions; migrations are forward-only.
License
HealthLog is licensed under the PolyForm Noncommercial License 1.0.0: free to use, self-host, and modify for noncommercial purposes. Commercial use requires a separate agreement — open an issue or reach out via healthlog.dev. Releases up to and including v1.15.18 were published under AGPL-3.0 and remain available under that license.
healthlog.dev · Live Demo · Docs · iOS TestFlight · Buy Me a Coffee