bridge: update README for the Daily Values / Measurements architecture

Replace the outdated /entries-only description with the three-endpoint
model, document daily_totals-based steps sourcing, and move sleep_duration
to "not yet covered" with an explanation of why (not implemented in
Health v3 at all, not just disabled for this user).

README.md

@@ -1,17 +1,17 @@
 # Private Health
 
-This project aims to create the necessary building blocks in order to allow collect and analyze one's personal health data in a privacy-oriented manner. Instead of closed-source apps and dubious clouds, it should use a FLOSS stack.
+This project aims to create the necessary building blocks to collect, aggregate, and analyze one's personal health data while maintaining data sovereignty. Instead of closed-source apps and dubious clouds, it should use a FLOSS stack.
 
 
 ## Architecture
 
-This architecture leans on proven, reusable components wherever possible.
+1. Start with what already works. Projects like Gadgetbridge or OpenScale have lively communities and cover a lot of ground. Lean on them whenever possible instead of reinventing the collector layer.
-Refer to the diagram below for an overview: it highlights mature apps in green, partially solved areas in orange, and gaps that require mostly new development in red.
+2. When a FLOSS bridge is missing, accept a constrained compromise—HealthConnect or a similar on-device broker—so long as it keeps data encrypted locally and gives us clear levers for sync frequency, retention, and audit logs.
+3. Only build bespoke pieces (Nextcloud health app, dashboards, data science notebooks) where there is a genuine capability gap or user story that no existing FLOSS project covers.
 
-At the moment, the [HealthConnect API](https://developer.android.com/health-and-fitness/health-connect) is remains a pragmatic choice for integration and synchronisation.
+The diagram below mirrors that hierarchy: green blocks are “ready to plug in,” orange blocks still need shaping or configuration, and red blocks mark the blank canvas where we design from scratch. In day-to-day terms, that means we can already sync scales or fitness trackers with minimal effort, but we must design a trustworthy Nextcloud app, decide how dashboards surface trends, and write glue that keeps everything coherent.
-It lives on the user’s phone, encrypts data, and speaks schemas for dozens of vendors. That buys time for a gentle migration: you can keep your current wearable, pull data into a local store, and steadily replace proprietary parts as FLOSS apps/adapters mature.
 
-However, alternative solutions to the HealthConnect API are more than welcome.
+HealthConnect remains the pragmatic bridge for now. It lives on the user’s phone, encrypts data, and speaks schemas for dozens of vendors. That buys time for a gentle migration: you can keep your current wearable, pull data into a local store, and steadily replace proprietary parts as FLOSS collectors mature. We should still document a path away from HealthConnect by pairing it with community-built collectors or writing our own bridge once the ecosystem catches up. Any alternative proposal should show the same benefits—broad device coverage, schema richness, and user-controlled sync rules.
 
 ```mermaid
 flowchart LR
@@ -39,9 +39,13 @@ flowchart LR
   --> gb_sync
   --> hc
 
-  hc --> nha["Nextcloud (health) app"]
+  hc --> ldc["Life Dashboard<br>Companion"]
+  --> bridge["Bridge / Adapter<br>(auth translation +<br>schema mapping)"]
+  --> health3["Nextcloud Health v3<br>(weight, steps, activity,<br>blood pressure)"]
 
-  nha --> nc
+  health3 -.->|feature request| gap["muscle mass, body water<br>(not yet supported)"]
+
+  health3 --> nc
 
   nc --> cA["Web UI<br>(Dashboard, statistics)"]
   nc --> cB["mobile devices"]
@@ -51,7 +55,6 @@ flowchart LR
   classDef yellow fill:#e6e22e,stroke:#333;
   classDef orange fill:#e09c3b,stroke:#333,stroke-width:4px;
   classDef red fill:#e64747,stroke:#333,stroke-width:4px;
-  class A,B,gb,hc green;
+  class A,B,gb,hc,ldc,health3 green;
-  class bpm_app,gb_sync,cA,nc orange;
+  class bpm_app,gb_sync,cA,nc,bridge,gap orange;
-  class nha red;
 ```

bridge/.gitignore

@@ -0,0 +1,3 @@
+credentials.json
+.venv/
+__pycache__/

bridge/README.md

@@ -0,0 +1,77 @@
+# Bridge: Life Dashboard Companion → Nextcloud Health v3
+
+Forwards the Health Connect types that are both sent by the Companion app and
+supported by Health v3, split across Health's three write APIs:
+
+- **Daily Values** (`PUT /daily-values/{metricKey}/{date}`, one upsert per
+  calendar day): `weight`, `steps`.
+- **Measurements** (`POST /measurements`, one call per timestamped reading):
+  `pulse` (heart rate).
+
+Which metrics a given Health instance actually knows is detected at startup
+via `GET /configuration`, since shipped releases can lag behind the
+documented API (see "Not yet covered" below).
+
+Requires Python 3.10+ (uses `str | None` type hints).
+
+## Setup
+
+```bash
+# One-time: obtain a Nextcloud app password via Login Flow v2.
+# Opens a browser tab, confirm the login there, then this writes credentials.json.
+uv run nc_login_flow.py https://your-nextcloud.example.com
+
+# Set the same HMAC secret configured under "Webhook Headers" in the Companion app.
+export NC_WEBHOOK_SECRET="..."
+uv run server.py
+```
+
+Point the Companion app's webhook URL at `http://<this-host>:8080/webhook/health-connect`.
+
+Set `NC_TIMEOUT_SECONDS` (default `30`) if your Nextcloud instance responds slowly.
+
+## Scope
+
+- On startup, fetches `GET /configuration` and only forwards metrics the
+  Health instance actually knows; unknown metrics are logged and skipped
+  instead of failing every request with an error. Metrics it knows but has
+  disabled for the user are enabled automatically via `PUT /configuration`.
+- Verifies `X-Signature: sha256=<hmac>` on every request; rejects with 401 on
+  mismatch (Companion does not retry on 401).
+- Reads `weight`, `daily_totals` (for steps), and `heart_rate` from the
+  payload; everything else is ignored.
+- Steps use Companion's `daily_totals`, which Health Connect already
+  deduplicates across sources (phone, watch, ...) into one total per day;
+  summing the raw per-window `steps` records ourselves would double-count,
+  so those are ignored in favor of the daily total.
+- Weight uses the UTC calendar date of each reading as the Daily Value's
+  date key (Health doesn't expose the owning user's timezone to this
+  bridge), so a reading taken right around local midnight could land on the
+  "wrong" day.
+- Heart rate: handles both raw records (`bpm`/`time`) and bucketed
+  resolution windows (`bucket_start`/`avg`); bucketed windows get a
+  deterministic id derived from the window since they carry no HC uuid.
+- Daily Value writes are idempotent by construction (one value per
+  metric/date, last write wins); Measurement writes use the Health Connect
+  record `uuid` (or a derived id for bucketed windows) as Health's
+  `operationId` for idempotent retries.
+- Returns 502 on partial forwarding failure so the Companion app retries the
+  whole payload later (transient failures are retried by the app).
+
+## Not yet covered
+
+- Sleep duration: despite being documented in Health v3's data model, it
+  isn't an actual Daily Value, Measurement, or journal metric in the shipped
+  app yet (absent from `GET /configuration`'s metric list entirely), so
+  there's currently no endpoint to send it to.
+- Blood pressure, body fat, blood glucose, oxygen saturation, and
+  temperature: the Companion app doesn't send these Health Connect types at
+  all yet.
+- Muscle mass and body water: not on Health v3's roadmap at all (see the main
+  README's architecture diagram).
+- Hydration and exercise/movement: both apps have these concepts, but with
+  incompatible shapes (a volume/duration in Companion vs. a closed set of
+  event options in Health), so a faithful mapping isn't possible without
+  lossy guessing.
+- Containerized deployment (currently a local script only, per the current
+  iteration's scope).

bridge/nc_login_flow.py

@@ -0,0 +1,67 @@
+#!/usr/bin/env python3
+"""One-time setup: obtain a Nextcloud app password via Login Flow v2.
+
+Usage:
+    python nc_login_flow.py https://your-nextcloud.example.com
+
+Writes the resulting server URL, login name and app password to
+credentials.json (used by server.py to authenticate against the Health API).
+"""
+import json
+import sys
+import time
+import webbrowser
+from pathlib import Path
+
+import requests
+
+CREDENTIALS_FILE = Path(__file__).parent / "credentials.json"
+# Shown to the user on Nextcloud's login-flow authorization page instead of the
+# default "python-requests/x.y.z".
+USER_AGENT = "PrivateHealthBridge"
+
+
+def run(base_url: str) -> None:
+    base_url = base_url.rstrip("/")
+    headers = {"User-Agent": USER_AGENT}
+
+    resp = requests.post(f"{base_url}/index.php/login/v2", headers=headers, timeout=10)
+    resp.raise_for_status()
+    flow = resp.json()
+
+    login_url = flow["login"]
+    poll_token = flow["poll"]["token"]
+    poll_endpoint = flow["poll"]["endpoint"]
+
+    print(f"Open this URL and confirm the login in your browser:\n{login_url}\n")
+    webbrowser.open(login_url)
+
+    print("Waiting for confirmation...")
+    while True:
+        time.sleep(2)
+        poll_resp = requests.post(poll_endpoint, data={"token": poll_token}, headers=headers, timeout=10)
+        if poll_resp.status_code == 404:
+            continue  # not confirmed yet
+        poll_resp.raise_for_status()
+        result = poll_resp.json()
+        break
+
+    CREDENTIALS_FILE.write_text(
+        json.dumps(
+            {
+                "server": result["server"].rstrip("/"),
+                "login_name": result["loginName"],
+                "app_password": result["appPassword"],
+            },
+            indent=2,
+        )
+    )
+    CREDENTIALS_FILE.chmod(0o600)
+    print(f"Saved credentials to {CREDENTIALS_FILE}")
+
+
+if __name__ == "__main__":
+    if len(sys.argv) != 2:
+        print(f"Usage: {sys.argv[0]} <nextcloud-base-url>")
+        sys.exit(1)
+    run(sys.argv[1])

bridge/pyproject.toml

@@ -0,0 +1,8 @@
+[project]
+name = "private-health-bridge"
+version = "0.1.0"
+requires-python = ">=3.10"
+dependencies = [
+    "flask>=3.0",
+    "requests>=2.31",
+]

bridge/server.py

@@ -0,0 +1,296 @@
+#!/usr/bin/env python3
+"""Minimal bridge: Life Dashboard Companion webhook -> Nextcloud Health v3.
+
+Scope: only forwards the Health Connect types that are both sent by the
+Companion app and already supported by Health v3: weight and steps (Daily
+Values, one upsert per calendar day), and pulse/heart rate (a Measurement).
+Which metrics a given Health instance actually knows is detected at startup
+rather than assumed, since shipped releases can lag behind the documented
+API. Sleep duration isn't a Daily Value, Measurement, or journal metric in
+Health v3 yet at all, despite being documented, so it can't be mapped here
+either. Body fat, blood glucose, blood pressure, oxygen saturation and
+temperature aren't sent by the Companion app at all yet. Hydration and
+exercise exist in both apps but with incompatible shapes (a volume/duration
+vs. a closed set of event options) and would need lossy guessing, so they
+are skipped for now too.
+
+Run:
+    NC_WEBHOOK_SECRET=... python server.py
+"""
+import json
+import logging
+import os
+import uuid
+from datetime import datetime
+from hashlib import sha256
+from hmac import compare_digest, new as hmac_new
+from pathlib import Path
+
+import requests
+from flask import Flask, request
+
+logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(message)s")
+log = logging.getLogger("bridge")
+
+CREDENTIALS_FILE = Path(__file__).parent / "credentials.json"
+try:
+    WEBHOOK_SECRET: str = os.environ["NC_WEBHOOK_SECRET"]
+except KeyError:
+    raise SystemExit("NC_WEBHOOK_SECRET must be set (the Companion app's HMAC signing secret)")
+
+credentials = json.loads(CREDENTIALS_FILE.read_text())
+NC_SERVER = credentials["server"]
+NC_AUTH = (credentials["login_name"], credentials["app_password"])
+HEALTH_API = f"{NC_SERVER}/ocs/v2.php/apps/health/api/v2"
+DAILY_VALUES_URL = f"{HEALTH_API}/daily-values"
+MEASUREMENTS_URL = f"{HEALTH_API}/measurements"
+CONFIGURATION_URL = f"{HEALTH_API}/configuration"
+# Identifies this bridge in Nextcloud's server logs and admin UI instead of the
+# default "python-requests/x.y.z".
+USER_AGENT = "PrivateHealthBridge"
+# Some instances (cold PHP-FPM, slow DB) need more than a few seconds to answer.
+NC_TIMEOUT_SECONDS = float(os.environ.get("NC_TIMEOUT_SECONDS", "30"))
+# Every metric this bridge can forward; new users only have "stress" enabled
+# by default, so writes would otherwise fail with an "unsupported metric" error.
+WANTED_METRICS = ("weight", "steps", "pulse")
+# Filled at startup from the server's actual configuration response, since a
+# Health instance may not know a metric yet at all or may just have it
+# disabled for this user.
+supported_metrics: set[str] = set()
+
+
+def discover_supported_metrics() -> None:
+    resp = requests.get(
+        CONFIGURATION_URL,
+        auth=NC_AUTH,
+        headers={"OCS-APIRequest": "true", "Accept": "application/json", "User-Agent": USER_AGENT},
+        params={"format": "json"},
+        timeout=NC_TIMEOUT_SECONDS,
+    )
+    resp.raise_for_status()
+    current = resp.json()["ocs"]["data"]["metrics"]
+
+    unknown = [m for m in WANTED_METRICS if m not in current]
+    if unknown:
+        log.warning("This Health instance doesn't know these metrics yet, skipping them: %s", unknown)
+
+    disabled = [m for m in WANTED_METRICS if m in current and not current[m]["enabled"]]
+    if disabled:
+        log.info("Enabling Health metrics not yet active for this user: %s", disabled)
+        resp = requests.put(
+            CONFIGURATION_URL,
+            json={"metrics": {m: {"enabled": True} for m in disabled}},
+            auth=NC_AUTH,
+            headers={
+                "OCS-APIRequest": "true",
+                "Accept": "application/json",
+                "User-Agent": USER_AGENT,
+            },
+            params={"format": "json"},
+            timeout=NC_TIMEOUT_SECONDS,
+        )
+        if not resp.ok:
+            log.error("Nextcloud rejected configuration update: %s -> %s", resp.status_code, resp.text)
+        resp.raise_for_status()
+
+    supported_metrics.update(m for m in WANTED_METRICS if m not in unknown)
+
+app = Flask(__name__)
+
+
+def verify_signature(raw_body: bytes, header_value: str | None) -> bool:
+    if not header_value or not header_value.startswith("sha256="):
+        return False
+    expected = "sha256=" + hmac_new(WEBHOOK_SECRET.encode(), raw_body, sha256).hexdigest()
+    return compare_digest(expected, header_value)
+
+
+def as_operation_id(record_uuid: str | None) -> str | None:
+    if not record_uuid:
+        return None
+    try:
+        uuid.UUID(record_uuid)
+        return record_uuid
+    except ValueError:
+        return None
+
+
+def deterministic_operation_id(*parts: str) -> str:
+    """Stable id for records that carry no HC uuid (e.g. bucketed windows)."""
+    return str(uuid.uuid5(uuid.NAMESPACE_URL, "|".join(parts)))
+
+
+def parse_rfc3339(value: str) -> datetime:
+    return datetime.fromisoformat(value.replace("Z", "+00:00"))
+
+
+def local_date(iso_timestamp: str) -> str:
+    # Approximation: uses the UTC calendar date since we don't know the
+    # Nextcloud user's timezone here; fine for anything but readings taken
+    # right around midnight.
+    return parse_rfc3339(iso_timestamp).date().isoformat()
+
+
+# Canonical unit Health expects per Daily Value metric (src/metrics.ts's
+# getMetricUnits(); "null" is rejected as "Unsupported unit or numeric value").
+DAILY_VALUE_UNITS = {"weight": "kg", "steps": "steps"}
+
+
+def build_daily_value(metric_key: str, date: str, numeric_value: float) -> dict:
+    return {"kind": "daily_value", "metricKey": metric_key, "date": date, "numericValue": numeric_value}
+
+
+# Canonical unit Health expects per Measurement metric (src/metrics.ts's
+# getMetricUnits()).
+MEASUREMENT_UNITS = {"pulse": "bpm"}
+
+
+def build_measurement(
+    metric_key: str, numeric_value: float, recorded_at: str, operation_id: str | None
+) -> dict:
+    payload = {
+        "kind": "measurement",
+        "metricKey": metric_key,
+        "numericValue": numeric_value,
+        "values": None,
+        "unit": MEASUREMENT_UNITS[metric_key],
+        # "api" isn't a valid Measurement context (only manual/checkin/checkout);
+        # unlike Entries and Daily Values there's no dedicated automation value.
+        "context": "manual",
+        "source": "api",
+        "recordedAt": recorded_at,
+        "note": None,
+    }
+    if operation_id:
+        payload["operationId"] = operation_id
+    return payload
+
+
+def extract_entries(body: dict) -> list[dict]:
+    entries = []
+
+    if "weight" in supported_metrics:
+        for record in body.get("weight", []):
+            entries.append(build_daily_value("weight", local_date(record["time"]), record["kilograms"]))
+
+    if "steps" in supported_metrics:
+        # Health Connect's own aggregate, deduplicated across sources (phone,
+        # watch, ...) -- summing the raw per-window records ourselves would
+        # double-count. See docs/webhook.md#daily-totals.
+        for totals in body.get("daily_totals", []):
+            if "steps" in totals:
+                entries.append(build_daily_value("steps", totals["date"], totals["steps"]))
+
+    if "pulse" in supported_metrics:
+        for record in body.get("heart_rate", []):
+            if "bucket_start" in record:
+                # Bucketed resolution: no single sample, so use the window's
+                # average as the representative pulse value.
+                entries.append(
+                    build_measurement(
+                        "pulse",
+                        record["avg"],
+                        record["bucket_start"],
+                        deterministic_operation_id("pulse", record["bucket_start"]),
+                    )
+                )
+            else:
+                entries.append(
+                    build_measurement(
+                        "pulse",
+                        record["bpm"],
+                        record["time"],
+                        as_operation_id(record.get("uuid")),
+                    )
+                )
+
+    return entries
+
+
+def forward_entry(entry: dict) -> None:
+    if entry["kind"] == "daily_value":
+        resp = requests.put(
+            f"{DAILY_VALUES_URL}/{entry['metricKey']}/{entry['date']}",
+            json={"numericValue": entry["numericValue"], "unit": DAILY_VALUE_UNITS[entry["metricKey"]]},
+            auth=NC_AUTH,
+            headers={
+                "OCS-APIRequest": "true",
+                "Accept": "application/json",
+                "User-Agent": USER_AGENT,
+            },
+            params={"format": "json"},
+            timeout=NC_TIMEOUT_SECONDS,
+        )
+    else:
+        payload = {k: v for k, v in entry.items() if k != "kind"}
+        resp = requests.post(
+            MEASUREMENTS_URL,
+            json=payload,
+            auth=NC_AUTH,
+            headers={
+                "OCS-APIRequest": "true",
+                "Accept": "application/json",
+                "User-Agent": USER_AGENT,
+            },
+            params={"format": "json"},
+            timeout=NC_TIMEOUT_SECONDS,
+        )
+    if not resp.ok:
+        # Nextcloud's error body has the actual validation reason; the plain
+        # status code alone isn't enough to debug a 400.
+        log.error("Nextcloud rejected %s: %s %s -> %s", entry["kind"], resp.status_code, entry, resp.text)
+    resp.raise_for_status()
+
+
+@app.post("/webhook/health-connect")
+def health_connect_webhook():
+    raw_body = request.get_data()
+    if not verify_signature(raw_body, request.headers.get("X-Signature")):
+        log.warning("Rejected webhook: invalid or missing signature")
+        return "invalid signature", 401
+
+    body = request.get_json(force=True)
+    entries = extract_entries(body)
+    # Map Companion's payload field names to Health's metric keys so this log
+    # line uses the same vocabulary as "supported metrics" below.
+    present_types = [
+        metric_key
+        for payload_key, metric_key in (("weight", "weight"), ("daily_totals", "steps"), ("heart_rate", "pulse"))
+        if body.get(payload_key)
+    ]
+    log.info(
+        "Payload contains %s; forwarding %d entr(y/ies) (supported metrics: %s)",
+        present_types,
+        len(entries),
+        sorted(supported_metrics),
+    )
+
+    failures = 0
+    ok_counts: dict[str, int] = {}
+    failure_counts: dict[str, int] = {}
+    for entry in entries:
+        metric_key = entry["metricKey"]
+        try:
+            forward_entry(entry)
+        except requests.RequestException:
+            log.exception("Failed to forward %s entry", metric_key)
+            failures += 1
+            failure_counts[metric_key] = failure_counts.get(metric_key, 0) + 1
+        else:
+            ok_counts[metric_key] = ok_counts.get(metric_key, 0) + 1
+
+    # The per-entry log lines above are easy to miss in a busy log; this
+    # summary makes it obvious which metrics actually made it through.
+    log.info("Forwarded ok: %s, failed: %s", ok_counts, failure_counts)
+
+    if failures:
+        # Non-2xx makes the Companion app retry the whole payload later.
+        return f"{failures} record(s) failed to forward", 502
+
+    return "ok", 200
+
+
+if __name__ == "__main__":
+    discover_supported_metrics()
+    app.run(host="0.0.0.0", port=8080)
+

bridge/uv.lock

@@ -0,0 +1,376 @@
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+
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