docs(integrations): Apple Health, Withings, AI providers guides

Three end-to-end integration walkthroughs closing the docs gaps the
v1.4.34.3 docs-depth audit flagged as critical user-facing surfaces.

Apple Health (docs/integrations/apple-health.md, 200 lines):
  - Generating the iOS `export.zip` from the Health app.
  - 1.5 GB upload cap, Zip64-aware streaming parser, content-hash
    idempotency.
  - Per-record / per-workout / per-correlation / per-clinical-record
    coverage matrix grounded in the parser's source.
  - Cumulative HK-type daily aggregation contract
    (`stats:<HKType>:<YYYY-MM-DD>` external IDs).
  - Live status-polling endpoint and the admin-import variant.
  - Source-priority interaction with the existing Withings ladder.

Withings (docs/integrations/withings.md, 195 lines):
  - Developer-portal app registration with the right OAuth scopes
    (`user.metrics user.activity`) and redirect URI.
  - Env-var layout (`WITHINGS_CLIENT_ID`, `WITHINGS_CLIENT_SECRET`,
    `WITHINGS_WEBHOOK_SECRET`).
  - Why the webhook URL carries the secret as a path segment
    (v1.4.25 W17a — reverse proxies log `query_string` by default;
    path segments aren't logged, so the secret stays off the access
    log).
  - Sync coverage (weight, body composition, BP, sleep, activity,
    SpO₂), reauth handling, troubleshooting.

AI providers (docs/integrations/ai-providers.md, 244 lines):
  - All four `User.aiProvider` values (OPENAI, ANTHROPIC, LOCAL,
    CHATGPT_OAUTH).
  - Default models, BYOK vs admin-shared, the provider fallback chain.
  - Local-endpoint setup with Ollama, LM Studio, and vLLM examples;
    SSRF-guard rationale; ChatGPT device-code OAuth pointer.
  - Privacy stance — local endpoints keep measurement context inside
    your network; hosted endpoints send the snapshot to the provider.
This commit is contained in:
Marc-André Bombeck committed 2026-05-17 00:37:05 +02:00
1 parent c81ddbdbc8
commit 70788895fa
3 files changed
+639

No files matched your search

+244
View File
@@ -0,0 +1,244 @@
# AI providers
HealthLog's Coach, daily briefing, weekly report, and per-metric
insights all run through a multi-provider AI client. Pick whichever
provider you prefer — there is no lock-in. The provider is resolved
per-user via the fallback chain in `src/lib/ai/provider.ts` and
`src/lib/ai/provider-chain.ts`, so a user with a Claude key and an
Ollama endpoint can fall back from one to the other automatically.
## Provider matrix
| Provider | Key acquisition | Default model | Endpoint | Privacy stance |
| -------- | ---------------- | ------------- | -------- | -------------- |
| `OPENAI` | <https://platform.openai.com/api-keys> | `gpt-4o-mini` | `https://api.openai.com/v1` | Measurement context sent to OpenAI |
| `ANTHROPIC` | <https://console.anthropic.com/settings/keys> | `claude-3-5-sonnet-latest` | Anthropic SDK default | Measurement context sent to Anthropic |
| `LOCAL` | None (your endpoint) | `local-model` | OpenAI-compatible URL you control | Stays on your network |
| `CHATGPT_OAUTH` | Sign in with your ChatGPT account | Codex-routed | `chatgpt.com/backend-api/codex/responses` | Routed via your ChatGPT subscription |
The four spellings above are the canonical `User.aiProvider` enum
values. Anything else falls through to the admin-shared OpenAI key
(if configured) or the `NoProvider` stub that surfaces "No AI
provider configured" to the UI.
## BYOK vs admin-shared
HealthLog supports two key-provisioning modes that coexist:
- **BYOK (Bring Your Own Key)** — each user pastes their personal
API key into `/settings/ai`. The key is AES-256-GCM-encrypted at
rest and only decrypted in-process when the provider client
initialises. Cost falls to the user; no shared budget.
- **Admin-shared** — the admin panel accepts a single OpenAI key in
`AppSettings.adminAiKeyEncrypted`. Users who have not configured
their own key fall back to the admin key. This is the last entry
in the default provider chain so it acts as a safety net rather
than the default route.
Single-user instances usually pick one mode and stop there.
Multi-user instances tend to run BYOK with the admin-shared key as a
fallback for users who skip the setup.
## The fallback chain
`User.aiProviderChain` is a JSON array of providers tried in priority
order. The default is encoded in
`src/lib/ai/provider-chain.ts:60-66`:
1. `codex` — ChatGPT OAuth (covered by your ChatGPT Plus / Pro
subscription; no per-token cost on top).
2. `openai` — user's own OpenAI API key.
3. `anthropic` — user's own Anthropic API key.
4. `local` — self-hosted Ollama / LM Studio / vLLM endpoint.
5. `admin-openai` — operator's shared key (last-ditch).
Entries the user has no credential for are silently skipped. The
runner walks the surviving entries in order; the first to return a
non-error completion wins. A 422 fires only when every entry in the
resolved chain returned an error.
Edit the order in `/settings/ai`. Disable an entry without removing
it by toggling its switch — a malformed chain on disk falls back to
the default rather than 500-ing.
## OpenAI setup
1. Sign in at <https://platform.openai.com/api-keys>.
2. **Create new secret key.** Scope: "Restricted → Model capabilities
→ Write" is sufficient for HealthLog's use of the Responses /
Chat Completions APIs.
3. Copy the `sk-…` key.
4. In HealthLog, open `/settings/ai`. Set provider to **OpenAI**,
paste the key, optionally override the model.
The default model is `gpt-4o-mini` (`src/lib/ai/provider.ts:80`) —
cheap, fast, and grounded enough for the structured-output Coach
prompts. Override to `gpt-4o` or `gpt-4.1` if you want more reasoning
headroom and accept the per-token cost.
**Cost expectation.** A daily briefing for an active account runs at
roughly 4–8k input tokens + ~1k output. At gpt-4o-mini's published
rates that is well under a US cent per briefing; a heavy user
generating multiple Coach turns plus a weekly report typically spends
a few dollars per month.
## Anthropic setup
1. Sign in at <https://console.anthropic.com/settings/keys>.
2. **Create Key.** A workspace-scoped key is recommended over an
organisation-scoped key.
3. Copy the `sk-ant-…` key.
4. In HealthLog, open `/settings/ai`. Set provider to **Anthropic**,
paste the key, optionally override the model.
The default model is `claude-3-5-sonnet-latest` (`src/lib/ai/provider.ts:55`).
The Anthropic client refuses to forward an Anthropic key to a stale
`aiBaseUrl` even if one is parked in the shared column — Anthropic
has no per-tenant base URL the UI exposes; the SDK default is the
only correct endpoint.
**Cost expectation.** Claude 3.5 Sonnet runs roughly 5x the per-token
cost of `gpt-4o-mini` but produces noticeably stronger reasoning on
the more structured Coach prompts. Most BYOK users on Claude spend
in the low single digits per month.
## Local endpoints (Ollama, LM Studio, vLLM)
Any OpenAI-compatible local endpoint plugs in as the **Local**
provider. Data stays on your network end-to-end; nothing leaves the
host running the model.
**Ollama** — `ollama pull qwen2.5:14b-instruct && ollama serve`.
In `/settings/ai`: provider **Local**, base URL
`http://localhost:11434/v1` (Ollama exposes the OpenAI-compatible
shim there), model `qwen2.5:14b-instruct`, leave the API key blank.
If HealthLog runs in Docker and Ollama runs on the host, swap
`localhost` for `host.docker.internal` (Mac/Windows) or the host's
LAN IP (Linux).
**LM Studio** — start the built-in server from the **Local Server**
tab (usually `http://localhost:1234/v1`) and paste the URL into
HealthLog the same way.
**vLLM** — production-grade shared inference:
```bash
vllm serve Qwen/Qwen2.5-14B-Instruct \
--host 0.0.0.0 --port 8000 --api-key your-shared-secret
```
Base URL `http://<vllm-host>:8000/v1`, API key `your-shared-secret`,
model `Qwen/Qwen2.5-14B-Instruct`. The local-client encrypts the
API key at rest like every other provider credential.
**SSRF guard.** Local endpoints route through the same validation
as every other outbound URL HealthLog hits. The guard rejects
private-IP-range targets by default — set
`ALLOW_LOCAL_AI_PRIVATE_HOSTS=true` in the container environment to
allow `localhost`, RFC1918, and link-local destinations
(`src/lib/ai/provider.ts:456-462`). Leave it unset on public-facing
instances unless you specifically run an internal endpoint.
**Model sizing.** Roughly: 7-8B for 8 GB GPU / Apple Silicon base
(briefings fine, deeper Coach reasoning gets terse), 14-24B for
16-24 GB GPU / M-series Pro/Max (sweet spot for BYOK-style usage),
70B+ for 48 GB+ / multi-GPU (comparable to mid-tier hosted models).
## ChatGPT OAuth (Codex)
The `CHATGPT_OAUTH` provider routes generations via the
`chatgpt.com/backend-api/codex/responses` endpoint that the official
Codex CLI uses. Users authenticate with their existing ChatGPT Plus
or Pro subscription via device-code OAuth — no API key, no
per-token billing on top of the subscription.
UI setup:
1. In `/settings/ai`, set provider to **ChatGPT OAuth**.
2. Click **Connect ChatGPT.** HealthLog calls
`POST /api/auth/codex/device-start` to receive a user code and a
verification URL.
3. The UI displays the verification URL and the short user code.
Open the URL in any browser signed in to your ChatGPT account
and enter the user code.
4. HealthLog polls `POST /api/auth/codex/device-poll` until ChatGPT
confirms the grant. Access and refresh tokens land in
`User.codexAccessTokenEncrypted` / `codexRefreshTokenEncrypted`,
AES-256-GCM-encrypted at rest. The connection status flips to
`connected`.
5. Token refresh runs automatically; the client triggers a refresh
on 401 and persists the new tokens transparently
(`src/lib/ai/provider.ts:122-217`).
Disconnect cleanly from `/settings/ai` — `POST /api/auth/codex/disconnect`
clears the encrypted token columns. The wire-level protocol is
documented in `docs/codex-protocol-spec.md` for anyone who wants to
audit the request shape; users who just want the integration to
work do not need to read it.
## Privacy stance
- **OpenAI** and **Anthropic** see the prompt + structured snapshot
HealthLog assembles per generation (recent metrics, target ranges,
Coach conversation history). No raw row exports leave the app, but
values themselves are visible to the provider for the request's
duration. Provider retention policy applies.
- **LOCAL** keeps everything on your network. Snapshots reach only
the endpoint you configured. With Ollama on the same host as
HealthLog, nothing leaves the host at all.
- **CHATGPT_OAUTH** routes via OpenAI's Codex endpoint. Same caveat
as OpenAI; the difference is the billing axis (ChatGPT
subscription instead of API tokens).
The Coach drawer surfaces a "Local" badge when generation resolves
to the local provider, so users who pinned a local endpoint can see
at a glance that their context stayed on the host.
## Caching contract
Two caches sit in front of every provider call so generation budgets
stay predictable:
1. **24-hour insight cache.** A successful generation is keyed by
the upstream measurement snapshot's hash and the prompt version.
The next read within 24 hours of the same snapshot returns the
cached envelope instead of re-billing the provider. Force-regen
on the UI bypasses the cache.
2. **Snapshot LRU.** The Coach snapshot builder caches per
`(userId, scope)` for 60 seconds so a rapid-fire conversation
reuses the same upstream context without re-querying Postgres.
See `src/lib/ai/coach/snapshot.ts`.
`INSIGHTS_RATE_LIMIT_PER_HOUR` (default `10`) bounds the number of
`POST /api/insights/generate` calls a single user can fire per hour.
Lower it when running on a tight budget — the 24h cache already
short-circuits read traffic; only force-regens and cache-misses cost
tokens.
## Connection test
`POST /api/ai/test` runs a one-shot probe against the resolved
provider and returns the latency in milliseconds plus the model the
provider routed to. The Settings UI surfaces a **Test connection**
button next to each provider section that fires this endpoint. A
failed probe surfaces a localisable `errorCode` so the UI renders
the failure in the user's language rather than the raw upstream
error.
## Troubleshooting
- **"No AI provider configured."** Either set up at least one BYOK
provider in `/settings/ai`, or configure an admin-shared OpenAI
key in the admin panel.
- **Local endpoint rejected as "internal/private host".** Set
`ALLOW_LOCAL_AI_PRIVATE_HOSTS=true` in the container environment.
Leave it unset on internet-facing instances unless you specifically
want to allow private-range targets.
- **Codex disconnects after a few weeks of inactivity.** ChatGPT
refresh tokens lapse after extended idle periods. Reconnect via
the **Connect ChatGPT** button — HealthLog re-runs the device-code
flow and the new tokens land in the same encrypted columns.
- **Chain falls through every entry.** Run the per-provider connection
test from `/settings/ai` to identify which step is failing. The
most common cause is a stale or revoked BYOK key earlier in the
chain; remove or disable that entry to skip ahead.
+200
View File
@@ -0,0 +1,200 @@
# Apple Health import
HealthLog accepts a full Apple Health `export.zip` upload and folds
the contents into the same timeline as every other ingest source.
The importer is streaming end-to-end — multi-gigabyte exports never
land in V8 heap — and idempotent on the upload's SHA-256 so
re-uploading the same archive merges instead of duplicating.
## What you need
- An iPhone with the Apple Health app and at least a few months of
history (otherwise there is little to import).
- A HealthLog account on an instance you can reach from the device
or from a workstation. The upload goes over your authenticated
browser session — no separate API token to provision.
- Up to 1.5 GB of upload bandwidth. Apple's largest observed exports
sit around 800 MB for a 10-year iCloud-synced account; the parser
caps inbound bodies at 1.5 GB
(`src/app/api/import/apple-health-export/route.ts:41`).
## 1. Generate `export.zip` on the iPhone
1. Open the **Health** app.
2. Tap the profile picture in the top-right.
3. Scroll to the bottom and tap **Export All Health Data**.
4. iOS spends a few minutes packaging the archive. When it finishes,
share-sheet the resulting `export.zip` somewhere you can reach
from your HealthLog instance — AirDrop to a workstation, save to
iCloud Drive, send via email or any chat app you control.
The archive contains `apple_health_export/export.xml` (the canonical
record stream) plus a handful of auxiliary files (workout routes,
clinical records, electrocardiograms). The importer reads
`export.xml` and ignores the rest.
## 2. Upload to HealthLog
Open the import page from the in-app settings tree. Drop the
`export.zip` onto the upload control. The browser streams the body
directly to the server; nothing is buffered into memory on either
side.
The endpoint is `POST /api/import/apple-health-export`. The handler:
1. Rate-limits to **three uploads per minute per user** to protect
against a flood of multi-gigabyte uploads
(`src/app/api/import/apple-health-export/route.ts:43-46`).
2. Enforces the **1.5 GB cap** twice — once cheaply against the
declared `Content-Length`, then a second time at the streaming
sink so a missing/wrong header cannot bypass it.
3. Streams the body to a temp file at `/tmp/healthlog-apple-health-import-*`
while computing a SHA-256 of the bytes inline.
4. Looks up any prior `ImportJob` row with the same `userId` +
`uploadSha256`. **A re-upload of the same archive short-circuits to
the previous job** instead of re-queueing — the response carries
`idempotent: true` and the original `jobId`.
5. Otherwise creates a fresh `ImportJob` row in `queued`, enqueues
the `apple-health-import` pg-boss job, and returns the new `jobId`.
The response body is `{ "jobId": "...", "status": "queued" }` with a
`202 Accepted`.
## 3. Poll the status endpoint
`GET /api/import/apple-health-export/{jobId}/status` returns the
canonical envelope:
```json
{
"data": {
"jobId": "clx123…",
"status": "parsing",
"startedAt": "2026-05-16T12:34:56.000Z",
"completedAt": null,
"uploadBytes": 412345678,
"exportedAt": "2026-04-30T18:12:00.000Z",
"progress": { "records_seen": 124000, "workouts_seen": 230 },
"result": null,
"failureReason": null
},
"error": null
}
```
The lifecycle is `queued → unpacking → parsing → upserting → done`
with `failed` as a terminal-error branch
(`src/app/api/import/apple-health-export/[jobId]/status/route.ts:8-9`).
The iOS native client polls every two seconds while active and every
thirty seconds once the job is terminal; the web UI uses the same
cadence. Authorisation: only the job owner can read it. The admin
who kicked off an import via the admin variant can also read the row
they triggered.
## What gets imported
The parser folds four XML element types into the existing HealthLog
schema (CHANGELOG v1.4.34):
| XML element | Maps to | Notes |
| ----------- | ------- | ----- |
| `<Record>` | `Measurement` rows | One row per spot sample. Keyed by `HKMetadataKeyExternalUUID` when present, otherwise a deterministic `sample:<sha256-of-attributes>` fallback so re-imports stay idempotent. |
| `<Workout>` | `Workout` rows | Activity type + duration + energy + distance. |
| `<Correlation>` | `Measurement` rows | Compound samples like blood pressure (systolic + diastolic) explode into their per-metric children. |
| `<ClinicalRecord>` | `Measurement` rows where the type maps | Health-record FHIR snapshots; only the metric-typed fields are ingested. |
The HK quantity types that map to HealthLog metric types live in
`src/lib/measurements/apple-health-mapping.ts`. Anything outside the
mapped set (workout routes, ECG voltage traces) is counted in
`progress.records_skipped` but not stored.
### Cumulative HK type → daily aggregate
Cumulative quantity types — steps, active energy, walking/running
distance, flights climbed — get **collapsed into one row per
user-local day** to match the iOS daily-aggregation convention.
- External ID format: `stats:<HKType>:<YYYY-MM-DD>` (e.g.
`stats:HKQuantityTypeIdentifierStepCount:2026-05-15`).
- The day boundary respects the user's timezone preference. The
worker defaults to `Europe/Berlin` when no preference is set
(`src/lib/jobs/apple-health-import-worker.ts:132-133`).
- A second import of the same archive re-folds the same days onto
the same external IDs — the values update in place rather than
duplicating.
### Re-import idempotency
The two-axis idempotency story:
1. **File-level** — re-uploading the same `export.zip` (same SHA-256
of bytes) short-circuits to the previous job before the parser
even starts.
2. **Record-level** — when an older `export.zip` is re-exported from
iOS (same history, slightly newer device timestamps), every
record's external ID stays stable. The upsert path matches on
`(userId, externalId)` and updates instead of inserting.
Practically: a user who exports monthly and re-imports each archive
sees fresh data merged in without duplicates. The job result line
in the status response reports `recordsInserted` and
`recordsUpdated` separately.
## Admin variant — import on behalf of another user
`POST /api/admin/import-apple-health-export` is the cookie-only admin
variant (Bearer tokens never elevate to admin). The multipart body
adds a `userId` text field naming the target user; everything else
is identical to the user-facing flow.
The `ImportJob` row carries `triggeredByAdminId = admin.id` so the
status endpoint admits both the target user and the triggering
admin. Idempotency is scoped by target user — an admin re-uploading
the same archive for the same user resolves to the previous job.
Typical use: migrating a friend's history into their HealthLog
account when they cannot run the import themselves, or backfilling
a household member's data after the admin received the `export.zip`
out of band.
## Source-priority interaction
HealthLog's source ladder is **APPLE_HEALTH ≻ WITHINGS ≻ MANUAL ≻
IMPORT** for cumulative metrics (steps, active energy, distance,
flights, sleep, HRV, resting HR) and **WITHINGS ≻ APPLE_HEALTH ≻
MANUAL** for point measurements where the Withings device is the
primary sensor (weight, BP, body fat, body temperature, SpO₂, VO₂
max). The defaults live in `src/lib/validations/source-priority.ts:205-220`.
Concrete consequences:
- If you already sync steps from a Withings ScanWatch and also import
Apple Health, the Apple-Health-aggregated stream wins for the day —
iOS HealthKit folds the watch sensor + iPhone motion data into a
single canonical stream, so it is the most complete cumulative
source. The Withings rows stay in the database as an audit trail
but drop out of the per-day aggregation.
- If you weigh yourself on a Withings scale and also import Apple
Health (which received the same reading via the Health Mate iOS
app), the Withings row wins for display. Apple Health is
second-hand for that metric.
- Manual entries always rank below either device source. The IMPORT
source tag — the lowest rank — is reserved for legacy CSV/JSON
imports that pre-date the Apple Health passthrough.
Override per-user via the Sources section of `/settings/thresholds`.
## Failure modes
| Failure | What you see | Recovery |
| ------- | ------------ | -------- |
| Archive is missing `apple_health_export/export.xml` | `failureReason: "Archive is missing the apple_health_export/export.xml member"` | Re-export from the iPhone; a partial AirDrop or a renamed archive can lose the canonical entry. |
| Archive is encrypted | `failureReason: "Encrypted ZIP entries are not supported"` | Apple does not encrypt the export — this means the file was repacked by a third-party tool. Re-export from iOS directly. |
| Unsupported compression method | `failureReason: "Unsupported ZIP compression method <n> for export.xml"` | Same recovery — re-export from iOS, which always emits method 0 (stored) or method 8 (deflate). |
| Worker is not running | `503 Background worker is not running` from the kick-off endpoint | The worker process is down. Check `docker compose ps` for the `app-worker` container (or `HEALTHLOG_PROCESS_TYPE=all` mode on the main `app` container) and restart. |
| Rate-limited | `429 Too many import uploads, try again later` | Wait sixty seconds; the limit is three uploads per minute per user. |
The wide-event log line `import.apple-health.kickoff` (or
`import.apple-health.kickoff.denied` on failure) captures every
attempt with the upload size, SHA-256, and the resolved `ImportJob`
id for debugging.
+195
View File
@@ -0,0 +1,195 @@
# Withings integration
HealthLog connects to Withings via OAuth2 plus a push webhook for
near-real-time sync. Once linked, every Body+ scale weighing, BPM
blood-pressure reading, ScanWatch sleep stage, and activity sample
lands in HealthLog within seconds — no polling, no third-party
relay.
## What gets synced
The Withings client (`src/lib/withings/client.ts`) maps the following
metric types into `Measurement` rows tagged `source = WITHINGS`:
| Withings meastype | HealthLog `MeasurementType` |
| ----------------- | --------------------------- |
| 1 | `WEIGHT` |
| 5 | `FAT_FREE_MASS` |
| 9 | `BLOOD_PRESSURE_DIA` |
| 10 | `BLOOD_PRESSURE_SYS` |
| 11 | `PULSE` |
| 54, 35 | `OXYGEN_SATURATION` (ScanWatch / pulse-ox products) |
| Plus the body-composition family (fat ratio, muscle mass, bone mass, hydration) and sleep / heart-rate variability via the heart-list endpoint |
Activity data (steps, active energy, distance, floors climbed) lands
via the `user.activity` OAuth scope shipped in v1.4.25. Sleep stages
arrive via the sleep series endpoint.
## 1. Register a Withings developer app
1. Sign in at <https://developer.withings.com/> and **create a new
public-API application**. The "Public" tier is free and supports
the OAuth2 flow HealthLog uses; you do not need the partner tier.
2. **Callback URL:** `https://your-instance.example.com/api/withings/callback`.
Withings allows multiple callbacks per app — add one entry per
environment (production, staging, local development against a
tunnel).
3. **Scopes:** request `user.metrics` AND `user.activity`. Both are
needed — `user.metrics` covers weight / BP / heart-list / sleep /
SpO₂ / body comp / temperature / VO₂ max; `user.activity` is the
workout-equivalent stream for steps / energy / distance / floors.
See `src/lib/withings/client.ts:42` (`WITHINGS_OAUTH_SCOPE`).
4. Save the application. Withings will issue a **Client ID** and a
**Client Secret** — keep the secret out of any chat log; it grants
read access to every linked account's full health history.
## 2. Wire the credentials into HealthLog
Paste the client ID and secret into `.env`:
```env
WITHINGS_CLIENT_ID="your-client-id"
WITHINGS_CLIENT_SECRET="your-client-secret"
WITHINGS_REDIRECT_URI="https://your-instance.example.com/api/withings/callback"
WITHINGS_WEBHOOK_SECRET="$(openssl rand -hex 32)"
```
`WITHINGS_WEBHOOK_SECRET` is the path-segment token the webhook
handler validates against. Generate a fresh random value — anything
that fits in a URL path segment works, but a 64-character hex string
keeps it indistinguishable from random. Restart the `app` container
after saving.
Per-user override is also possible: the Settings UI accepts a
client-ID/secret pair scoped to one user, useful if you want a
shared instance where every user brings their own Withings app
credentials. Server-level env vars cover the default case.
## 3. Set the webhook URL
When HealthLog calls Withings `Notify.subscribe()` for a newly-linked
account, it hands Withings the callback URL constructed by
`getWithingsWebhookCallbackUrl()` (`src/lib/withings/sync.ts:38-48`).
The shape is:
```
https://your-instance.example.com/api/withings/webhook/<WITHINGS_WEBHOOK_SECRET>
```
Withings has no facility for adding HTTP headers or signing webhook
bodies, so the callback URL itself is the only authenticity surface
a subscriber controls. The v1.4.25 W17a migration moved the secret
from a query parameter (`?secret=…`, captured by every reverse-proxy
access log) to a path segment, which keeps it out of the
`query_string` column most proxies log by default
(`src/app/api/withings/webhook/[token]/route.ts:13-23`).
You do not need to register the webhook URL anywhere in the
developer portal — HealthLog subscribes per-user during the OAuth
callback. The portal only owns the OAuth callback URL.
## 4. Link from the Settings page
With env vars in place and the app restarted, sign in as the target
user and open `/settings/integrations/withings`. Click **Connect
Withings**. The flow:
1. The Connect button redirects to Withings' `oauth2/authorize`.
2. The user signs in on Withings and grants the requested scopes.
3. Withings redirects back to `/api/withings/callback` with an auth
code.
4. HealthLog exchanges the code for an access + refresh token, stores
them AES-256-GCM-encrypted at rest, subscribes the webhook URL,
and triggers an initial sync of the past 30 days.
5. The settings page now shows **Connected** with the timestamp of
the last successful sync.
Subsequent syncs run automatically on every webhook delivery plus a
safety-net cron pull every few hours.
## Source-priority interaction
HealthLog's source ladder ranks **WITHINGS ≻ APPLE_HEALTH ≻ MANUAL**
for point measurements (weight, BP, pulse, body fat, body
temperature, SpO₂, VO₂ max) and **APPLE_HEALTH ≻ WITHINGS ≻ MANUAL**
for cumulative metrics (steps, active energy, distance, flights,
sleep, HRV, resting HR). The defaults live in
`src/lib/validations/source-priority.ts:205-220`.
Concrete consequences if you run Withings alongside an Apple Health
import:
- Weight readings from a Withings scale win for display. Apple
Health rows for the same metric (received second-hand from Health
Mate) stay in the DB as audit trail but drop out of the active
display.
- Steps from a ScanWatch go through HealthKit's daily aggregation
when Apple Health is also linked, so the Apple Health stream wins
for the cumulative axis. The Withings rows stay in the DB.
Override per-user via the Sources section of `/settings/thresholds`.
## Troubleshooting
### The Connect button errors out
- **`Withings credentials not configured`** — `WITHINGS_CLIENT_ID`
or `WITHINGS_CLIENT_SECRET` is missing from `.env`. Confirm both
are set in the container's runtime environment (`docker compose
exec app env | grep WITHINGS`).
- **`Callback URI mismatch`** — the URL HealthLog sends to Withings
must match an entry in the developer-portal app's callback list.
Add the public URL exactly, including the `https://` scheme and
the `/api/withings/callback` path.
### The webhook stops firing
Webhook subscriptions can lapse after a token revoke or a portal-
side cleanup. Re-subscribe by opening `/settings/integrations/withings`
and clicking **Disconnect** then **Connect Withings** again — the
callback exchange re-runs `Notify.subscribe()` with a fresh callback
URL.
Test the inbound path with a HEAD request from outside the host:
```bash
curl -I https://your-instance.example.com/api/withings/webhook/<WITHINGS_WEBHOOK_SECRET>
```
A `200 OK` means the path-segment secret matches. A `401` means the
env var on the running container does not match the secret embedded
in the URL Withings was handed at subscribe time. Re-subscribing
fixes the mismatch by updating the URL Withings holds.
### Sync is stuck on "Reauthorisation required"
Withings revokes refresh tokens on password change, app un-authorise,
or after extended inactivity. The `WithingsConnection` row flips to
`error_reauth` status and the scheduled sync no-ops until the user
re-runs the OAuth flow (`src/lib/withings/sync.ts:155-161`).
Click **Connect Withings** again from the settings page; the
callback exchanges fresh tokens and the next sync runs through the
last 30 days of history to catch up.
### Disconnect cleanly
The Settings page **Disconnect** button:
1. Calls `POST /api/withings/disconnect`.
2. Server-side: revokes the access token via Withings'
`Notify.revoke`, deletes the `WithingsConnection` row, and audits
the action.
3. Existing `Measurement` rows tagged `source = WITHINGS` stay in
the database — disconnect does not delete data. Re-linking the
same Withings account merges back onto the same metric
timeline; the upsert path matches on `(userId, type, measuredAt,
source)` so previously-synced rows update in place.
## Admin probe
`POST /api/integrations/withings/test` (admin-only) runs a
read-only round-trip against the user's stored credentials and
returns the latency in milliseconds. Use it from the admin panel
when a user reports stale data — a green test plus a stale
`lastSyncedAt` usually means the webhook URL Withings holds is out
of sync (re-subscribe per the steps above).