# Google Health integration (Fitbit + Pixel Watch + Fitbit Air) HealthLog reads Fitbit, Pixel Watch and Fitbit Air data through the **Google Health API** (`health.googleapis.com/v4`), the successor to the classic Fitbit Web API. Google retires the classic Fitbit Web API in **September 2026**, and Fitbit access/refresh tokens do not carry over — every account re-consents through Google OAuth. This integration is that path. The OAuth app is a **Google Cloud** OAuth client, not a Fitbit developer-console app. Credentials are brought **per user**: each user registers their own Google Cloud OAuth client and pastes the client id/secret into Settings. The internal integration key is `google-health`; it runs alongside the classic `fitbit` integration without touching it. For the classic connection (a developer app registered on the Fitbit side), see [fitbit.md](./fitbit.md). > **Beta.** Field mapping is still being verified against live Google Health > accounts, so some values may be missing or shift in a later update. ## What you get — and what you don't Weight, body fat, heart rate, resting heart rate, heart-rate variability, blood oxygen, respiratory rate, sleep stages, steps, distance, active energy, floors, VO₂ max and workouts flow in on a periodic pull. Two honest limits, set by the API itself: - **Stress and readiness are not available.** The Google Health API exposes no stress or daily-readiness data type. Nothing HealthLog can do surfaces them. - **Skin temperature is a nightly deviation**, not a raw stream — a single per-night value rather than a continuous trace. There is **no webhook** at launch: Google Health syncs on the safety-net cron pull, the same model as Oura and Polar. ## 1. Create a Google Cloud project and enable the Health API 1. In the **Google Cloud console** () create a project (or pick an existing one). 2. Under **APIs & Services → Library**, find and **enable the Google Health API** for that project. ## 2. Configure the OAuth consent screen — keep it in "Testing" 1. Under **APIs & Services → OAuth consent screen**, configure the screen for the project. 2. Leave the publishing status on **Testing**. This is the deliberate choice for a self-hoster: a Testing-mode client avoids Google verification and the annual third-party CASA security assessment entirely. 3. On the **Audience** page, add every account that will connect as a **test user** (**+ Add users**). An unverified client is capped at **100 users** — staying at or below that ceiling keeps you verification-free. The cost of staying in Testing is the **7-day refresh-token expiry** — see the caveat at the end. Going past 100 users, or publishing the client, requires Google Trust & Safety verification **plus an annual CASA assessment**, because every Google Health scope is Restricted. ## 3. Create a "Web Server" OAuth client 1. Under **APIs & Services → Credentials**, create an **OAuth 2.0 Client ID** of type **Web application** (a "Web Server" client). 2. **Authorized redirect URI:** `https://your-instance.example.com/api/google-health/callback` Use your instance's real origin; the path is always `/api/google-health/callback`. 3. Save. Google issues a **Client ID** and **Client Secret** — keep the secret out of any chat log. HealthLog drives the standard Google OAuth 2.0 web-server flow: it sends the browser to the authorization endpoint `https://accounts.google.com/o/oauth2/v2/auth` (with `access_type=offline`, `prompt=consent` and an S256 PKCE challenge), then exchanges the returned code at the token endpoint `https://oauth2.googleapis.com/token`. ## 4. Scopes HealthLog requests exactly these four read-only **Restricted** scopes: ``` https://www.googleapis.com/auth/googlehealth.activity_and_fitness.readonly https://www.googleapis.com/auth/googlehealth.health_metrics_and_measurements.readonly https://www.googleapis.com/auth/googlehealth.sleep.readonly https://www.googleapis.com/auth/googlehealth.profile.readonly ``` No write scopes are requested — the connection is read-only. These four core scopes are the full set the client requests today. ECG and irregular-rhythm notifications (the Pixel Watch clinical data types) are a **planned** future addition, not a current option — there is no reader for them yet, so no scope is requested for either. When that support lands the runbook will document how to opt in; until then leave them out of your OAuth client. ## 5. Wire the credentials in Settings → Integrations Credentials are stored per user, not in `.env`. Sign in as the target user, open **Settings → Integrations → Google Health**, and paste the Client ID and Client Secret. They are encrypted AES-256-GCM at rest. ## 6. Connect Click **Connect with Google**. HealthLog redirects to Google's consent screen, exchanges the returned code for an access + refresh token, stores them encrypted, and runs an initial backfill in the background. ## Redirect URI is validated strictly The resolved `redirect_uri` is asserted at connect time to be absolute, `https` (or `http` on localhost), to target exactly `/api/google-health/callback`, and — when `GOOGLE_HEALTH_REDIRECT_URI` is set alongside `NEXT_PUBLIC_APP_URL` — to share its origin. A misconfigured value fails closed rather than redirecting elsewhere. ## Optional instance env var ```env # Only when the callback origin differs from NEXT_PUBLIC_APP_URL: GOOGLE_HEALTH_REDIRECT_URI="https://your-instance.example.com/api/google-health/callback" ``` The Google Cloud client id/secret are per-user (Settings), not env vars. ## Backfill, the hourly sync and Google's rate limit Only one sync runs per account at a time. **Sync now** reports that a sync is already in progress while the history backfill that follows a connect is running, and shows its progress instead of starting a second one. The backfill reads the account's whole history, and for a watch that records heart rate every minute that is a thousand-odd pages per year. It runs in slices: a slice reads for up to five minutes or 500 pages, writes what it read, notes how far it got and lets go of the account. The next slice starts a minute later where the last one stopped. Two kinds of note are kept: a data type read to the end is not read again, and a data type read page by page (heart rate, weight, body fat, blood glucose, core temperature) keeps the time of the oldest reading it has written, so the next slice asks Google only for what is older. A restart or an update in the middle loses at most the page that was being read. Asking for "what is older" uses an upper bound on the sample time, which Google's filter grammar allows but which a given account may still refuse. If Google answers that first resumed request with `400`, the slice reads the data type again without the bound, passes over the readings newer than its note without writing them, and carries on writing from there. The refusal is noted per data type, so later slices read without the bound straight away. The pages passed over are not counted against the slice's 500 pages, but they do run on its five minutes, and passing over stops after three minutes at most, so a slice never holds the account longer than a slice. Wherever the walk stops, on a limit or on a rate limit, it keeps Google's page token for the page it read last, and the next slice reads that one page again and goes on from there instead of passing over everything earlier slices wrote: the pages read stay in proportion to the history. If Google no longer takes the token, or the page it returns no longer reaches the noted reading, the slice starts again from the newest page and passes over as before. A `400` that names something else (the page size, or the page token of a walk that did not start from a kept one) is still a failure. The hourly sync waits for the slice that is running (up to eight minutes) instead of skipping the account, so recent data keeps arriving while an old history is still coming in. The hourly job stays inside its own fifteen-minute limit: the wait is cut short when the job's time runs low, the sync after it gets only what is left and leaves the rest of its window to the next hour, and an account the job reaches after its time is up waits for the next hour. Google limits how many requests one account may make per minute. When a sync reaches that limit Google answers `429`, and HealthLog waits and repeats the request. If Google asks for a longer wait than a minute, the slice ends there and the next one starts five minutes later. A server error (`500`, `502`, `503`, `504`), a request that times out and a dropped connection are repeated three times before they count as a failure. None of these mark the connection as needing a reconnect. Access tokens last an hour, and a long backfill renews its token as it goes. A slice that moved nothing forward (no data type finished, no reading older than before) is a real failure: the job fails with the reason, pg-boss retries it a few times, and after that the next restart offers the backfill again. Everything already written stays. If an older version left your Google Health card asking for a reconnect after a backfill, the first sync after updating checks the stored grant and resumes on its own when the grant is still valid. ### Reading the backfill in the logs Every slice writes one log line when it ends, with `"background":{"task_name":"job.integration_backfill"}`. The parts worth reading: - `meta.kind` is `google-health-backfill`, `meta.slice` the slice number (0 for the first), `meta.job_id` the pg-boss job. - `external_calls` lists the requests the slice made to Google, one entry per request: `method` names the data type and page (`fetchHeartRate(page=212)`), `status` the HTTP status, `duration_ms` how long it took. A request that was repeated carries a `note` (`rate_limited_retrying_in_ms=4000`, `server_error_retrying_in_ms=2000`, `no_response_retrying_in_ms=2000`, `token_rejected_retrying_with_fresh_token`, `edge_filter_rejected_reading_without_it`); one that failed for good carries an `error`. Successful requests are listed up to 60 per line and everything up to 200; `external_calls_omitted` counts the rest. - `meta["googleHealth.backfill.slice"]` sums the slice up: - `pages`, `elapsedMs` and `imported`: what the slice read, how long it took, how many readings it wrote. `skippedPages` is the part of `pages` read only to pass over readings already written, on a data type whose upper-bound filter Google refused. - `stopReason`: why it ended early. `time_budget` and `page_budget` are the normal end of a slice, `rate_limited` means Google would not take more requests for now, `job_budget` that the job itself ran out of time. `null` means the slice read everything it started. - `collectionsDone` of `collectionsTotal`: data types read to the end so far. - `collections`: one entry per data type the slice touched, with its `status` (`done`, `stopped` short on a budget or a rate limit, `deferred` to the next slice, or `failed`), its `pages`, and for the page-by-page types `edgeFrom` and `edgeTo`, the oldest reading written before and after the slice. - `edges`: where every unfinished page-by-page data type stands now. - `meta["googleHealth.backfill.edgeFilterUnsupported"]` appears on the slice where Google refused the upper-bound filter, listing the data types noted as refusing it. - `action.name` is `google_health.backfill.continued` for a slice that made progress and queued the next one, `google_health.backfill.complete` for the one that finished the history, and `google_health.backfill.stuck` for one that moved nothing. A stuck slice also fails the job with a message that names each unfinished data type and its status, for example `no progress in slice 4, stopped on rate_limited; fetchHeartRate:stopped`. While a slice runs, the usual `job.progress` line for the `integration-backfill-admission` queue reports `google_health_backfill_slice`, `google_health_backfill_pages` and `google_health_backfill_collections_done` every two minutes. ## The 7-day re-consent caveat While the OAuth consent screen stays in **Testing** publishing mode, Google **expires the refresh token after 7 days**. When that happens the sync stops with a soft "needs reconnect" state rather than a hard error, and the Google Health card shows a **Reconnect** banner. Click it, complete the Google consent once more, and syncing resumes. This is the price of avoiding CASA — it is expected, not a bug. (Publishing the client past verification removes the 7-day expiry but triggers the verification + CASA requirements above.) ## Source overlap If Google Health and another source (Withings, WHOOP, Apple Health) both supply the same vital — resting heart rate, blood oxygen, respiratory rate — the source priority ladder in **Settings → Sources** decides which one wins per metric. ## Disconnect The Settings **Disconnect** button removes the connection and its stored tokens. Previously synced measurements stay in the database. ## Garmin owners Garmin has no direct connector for a self-hosted instance. Since Garmin Connect 5.14.1 (July 2025) the app writes to Google Health Connect, so this integration is how Garmin data reaches HealthLog on Android. See [garmin.md](./garmin.md) for what comes through and what Garmin withholds.