Files
GarminHealthLab/backend/services/garmin.py
ericwyuan fa865ca8a6 fix: 实机验证发现的七个缺陷
部署与时区
- client/.env.production 写死 REACT_APP_API_URL=/api。之前没有这个文件,
  构建靠命令行临时传参,一旦忘了就把开发默认值 localhost:5000 打进包里,
  部署后整站 Network Error。
- 新增 lib/day.ts,所有日期改用本地日历日。原先用 toISOString() 取的是 UTC 日期,
  在 UTC+8 每天前 8 小时都会少查一天——当天的数据佳明已经有了,应用却够不到。

界面
- 覆盖 Framework7 9 给 .navbar .left/.right 加的 frosted pill,
  就是各页右上角和返回键旁边那个半透明椭圆。
- .metric-tab 显式 width:auto。F7 把每个 button 渲染成整宽块元素,
  运动详情的四个 Tab 因此竖着堆成四行。
- 主要收益为 UNKNOWN 时不显示该区块,那是「没有结论」的哨兵值。

正确性
- 心率区间百分比改用整次运动时长作分母。原先除以「落在区间内的总时长」,
  把低于区间 1 的时间挤掉了:44:06 的登山里区间 1 占 23:03,
  手表显示 52%,我算成了 90%。现在对上了。

性能
- 按进程缓存已认证的 Garmin 会话(15 分钟 TTL)。实测 _connect 单次 11 秒,
  而七个数据接口加起来才 4 秒——瓶颈全在每次重新认证。
  冷启 16s → 热 7s → 命中缓存 0.8s,不再撞客户端超时。
- get_activity_details 的 maxchart 由 2000 降到 500,反正写入时抽稀到 300。
- 重新绑定账号时丢弃缓存会话。

删除前端重做前遗留的 5 个无引用页面文件。

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-08-24 01:16:44 +08:00

755 lines
28 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
"""
Garmin sync service.
Pulls daily summaries + activities through the `garminconnect` library and
upserts them. The library and real Garmin credentials are required to actually
run a sync; without them the endpoint reports a clear error instead of
crashing.
Garmin credentials: the app only stores a scrypt/PBKDF2 *hash* of the Garmin
password (so it cannot be recovered), therefore a live sync needs the
plaintext garminEmail/garminPassword supplied in the request body.
On the library's API — these were verified against garminconnect 0.2.8:
* get_user_summary(cdate) -> one day of daily totals
* get_sleep_data(cdate) -> sleep, NOT part of the summary
* get_hrv_data(cdate) -> HRV, also separate
* get_activities_by_date(start, end) -> activities in a date range
* get_activities(start, limit) -> PAGINATION, not dates
The last two are easy to confuse: `get_activities` takes an offset and a count,
so passing it a date silently asks for activity number "2026-08-23".
"""
import datetime
import json
import os
import threading
from db import execute, query_one
from config import DB_TYPE
from services import health
# How many days back a sync reaches.
DEFAULT_SYNC_DAYS = int(os.environ.get("GARMIN_SYNC_DAYS") or 7)
def _set_sync_status(user_id, status, now, **fields):
cols = ["user_id", "status", "last_sync_time"] + list(fields.keys())
placeholders = ", ".join(["?"] * len(cols))
if DB_TYPE == "mariadb":
updates = ", ".join(f"{c}=VALUES({c})" for c in cols if c != "user_id")
sql = (
f"INSERT INTO sync_status ({', '.join(cols)}) VALUES ({placeholders}) "
f"ON DUPLICATE KEY UPDATE {updates}"
)
else:
updates = ", ".join(f"{c}=excluded.{c}" for c in cols if c != "user_id")
sql = (
f"INSERT INTO sync_status ({', '.join(cols)}) VALUES ({placeholders}) "
f"ON CONFLICT(user_id) DO UPDATE SET {updates}"
)
execute(sql, [user_id, status, now] + list(fields.values()))
def get_sync_status(user_id):
row = query_one("SELECT * FROM sync_status WHERE user_id = ?", [user_id])
if not row:
return {
"status": "idle",
"lastSyncTime": None,
"recordsSynced": 0,
"lastError": None,
}
return {
"status": row["status"],
"lastSyncTime": row["last_sync_time"],
"recordsSynced": row["records_synced"],
"lastError": row["last_error"],
"progressCurrent": row.get("progress_current"),
"progressTotal": row.get("progress_total"),
"startedAt": row.get("started_at"),
}
class MFARequired(RuntimeError):
"""Raised when a password login needs a code this process cannot obtain."""
# garth sends a browser User-Agent, which its SSO flow needs. The data API
# treats that same UA as a browser hitting it directly and answers every
# request with HTTP 200 and an empty array — no error, just no data. The
# official app's UA (and in fact any non-browser one) returns real data, so
# the header is swapped after login, before any API call.
API_USER_AGENT = "com.garmin.android.apps.connectmobile"
def _use_api_user_agent(client):
try:
client.garth.sess.headers["User-Agent"] = API_USER_AGENT
except AttributeError:
pass # a stubbed client in tests has no session
def _is_cn():
# Selects Garmin's China service, a separate backend with separate
# accounts. This project tracks an international account.
return (os.environ.get("GARMIN_IS_CN") or "").lower() in ("1", "true", "yes")
def _import_garmin():
try:
from garminconnect import Garmin
except ImportError:
raise RuntimeError(
"GARMIN_LIB_MISSING: 请先运行 `pip install garminconnect` 以启用同步"
)
return Garmin
def load_token(user_id):
row = query_one("SELECT token FROM garmin_tokens WHERE user_id = ?", [user_id])
return row["token"] if row else None
def save_token(user_id, token, garmin_email=None):
cols = ["user_id", "token", "garmin_email", "updated_at"]
placeholders = ", ".join(["?"] * len(cols))
if DB_TYPE == "mariadb":
updates = ", ".join(f"{c}=VALUES({c})" for c in cols if c != "user_id")
sql = (f"INSERT INTO garmin_tokens ({', '.join(cols)}) VALUES ({placeholders}) "
f"ON DUPLICATE KEY UPDATE {updates}")
else:
updates = ", ".join(f"{c}=excluded.{c}" for c in cols if c != "user_id")
sql = (f"INSERT INTO garmin_tokens ({', '.join(cols)}) VALUES ({placeholders}) "
f"ON CONFLICT(user_id) DO UPDATE SET {updates}")
execute(sql, [user_id, token, garmin_email,
datetime.datetime.utcnow().isoformat(timespec="seconds")])
# A re-bind means the old session is stale; the next call must build a
# fresh one rather than keep using the session the old token minted.
forget_client(user_id)
def has_token(user_id):
return load_token(user_id) is not None
# An authenticated client, reused across requests in this process.
#
# Building one costs ~11s against Garmin — loading the token, refreshing the
# OAuth2 grant and fetching the profile — which dwarfed the ~4s of actual data
# fetching behind an activity-detail request. The session is a requests.Session
# underneath, so it is reusable; it is dropped after CLIENT_TTL so a refreshed
# or revoked token is picked up rather than being cached indefinitely.
CLIENT_TTL_SECONDS = 900
_clients = {}
_clients_lock = threading.Lock()
def _cached_client(user_id):
entry = _clients.get(user_id)
if entry and (datetime.datetime.utcnow() - entry[1]).total_seconds() < CLIENT_TTL_SECONDS:
return entry[0]
return None
def _cache_client(user_id, client):
if user_id:
_clients[user_id] = (client, datetime.datetime.utcnow())
def forget_client(user_id):
"""Drop the cached session — call after re-binding an account."""
_clients.pop(user_id, None)
def _connect(creds, user_id=None):
"""Obtain a logged-in Garmin client.
Prefers stored OAuth tokens: an account with two-factor auth cannot be
logged into from a web worker, because the library asks for the code on
stdin and there is none (the failure surfaces as
"EOFError: EOF when reading a line"). Tokens are minted once by
`garmin_login.py`, which runs in a terminal where a code can be typed.
"""
if user_id:
with _clients_lock:
cached = _cached_client(user_id)
if cached is not None:
return cached
Garmin = _import_garmin()
client = Garmin(is_cn=_is_cn())
token = load_token(user_id) if user_id else None
if token:
client.garth.loads(token)
_use_api_user_agent(client)
# Proves the token still works, and refreshes it if near expiry.
client.garth.refresh_oauth2()
# garminconnect builds most of its URLs from display_name, so leaving
# it unset sends every request to ".../None".
client.display_name = client.garth.profile["displayName"]
with _clients_lock:
_cache_client(user_id, client)
return client
if not creds.get("garminPassword"):
raise RuntimeError("缺少 Garmin 密码,且未找到已保存的登录令牌")
client.username = creds["garminEmail"]
client.password = creds["garminPassword"]
try:
client.login()
except EOFError as e:
# garth's default MFA prompt calls input(); under gunicorn stdin is
# closed, so it raises EOFError rather than anything descriptive.
raise MFARequired(
"该 Garmin 账号开启了两步验证。请在「数据同步」页面用密码重新绑定,"
"系统会提示你输入验证码。"
) from e
_use_api_user_agent(client)
with _clients_lock:
_cache_client(user_id, client)
return client
def describe(e):
"""A message that is never empty.
Some exceptions carry no text at all — a bare `assert` raises
AssertionError with str(e) == "" — and storing that produced a failed
sync whose recorded reason was blank, which is undiagnosable.
"""
text = str(e).strip()
return f"{type(e).__name__}: {text}" if text else type(e).__name__
def _num(*values):
"""First value that is a usable number."""
for v in values:
if isinstance(v, (int, float)) and not isinstance(v, bool):
return v
return None
def _safe(fn, default=None):
"""Call an optional endpoint; a metric the device does not record must not
abort the whole day."""
try:
return fn()
except Exception:
return default
def _first(seq):
return seq[0] if isinstance(seq, list) and seq else {}
def _to_datetime(*values):
"""Normalise Garmin's several timestamp shapes into an ISO string.
The same payload mixes ISO strings ("2019-10-13T10:10:12.0") with epoch
milliseconds (1570961412000); handing the latter to a DATETIME column is
rejected outright, so a personal record whose only timestamp was numeric
failed the whole batch.
"""
for v in values:
if v is None or v == "":
continue
if isinstance(v, str):
return v[:26]
if isinstance(v, (int, float)) and not isinstance(v, bool):
# Values past ~1e11 are milliseconds, below that seconds.
seconds = v / 1000 if v > 1e11 else v
try:
return datetime.datetime.utcfromtimestamp(seconds).isoformat(
timespec="seconds"
)
except (ValueError, OverflowError, OSError):
continue
return None
def _extract_daily(client, date_str):
"""Everything Garmin exposes for one day.
The daily summary is the bulk of it, but sleep, HRV, training readiness
and endurance each live behind their own endpoint — none of them appear in
get_user_summary. Each is fetched defensively so a metric this device does
not record leaves a NULL instead of failing the day.
"""
s = client.get_user_summary(date_str) or {}
sleep_dto = (_safe(lambda: client.get_sleep_data(date_str)) or {}).get(
"dailySleepDTO"
) or {}
scores = sleep_dto.get("sleepScores") if isinstance(
sleep_dto.get("sleepScores"), dict
) else {}
sleep_seconds = _num(sleep_dto.get("sleepTimeSeconds"))
hrv_summary = (_safe(lambda: client.get_hrv_data(date_str)) or {}).get(
"hrvSummary"
) or {}
readiness = _first(_safe(lambda: client.get_training_readiness(date_str), []))
training = _safe(lambda: client.get_training_status(date_str), {}) or {}
vo2 = (training.get("mostRecentVO2Max") or {}).get("generic") or {}
endurance = _safe(lambda: client.get_endurance_score(date_str), {}) or {}
def secs(key):
return _num(sleep_dto.get(key))
return {
"date": date_str,
# --- activity / energy ---
"steps": _num(s.get("totalSteps")),
"stepGoal": _num(s.get("dailyStepGoal")),
"distanceMeters": _num(s.get("totalDistanceMeters")),
"caloriesBurned": _num(s.get("totalKilocalories")),
"activeCalories": _num(s.get("activeKilocalories")),
"bmrCalories": _num(s.get("bmrKilocalories")),
"floorsAscended": _num(s.get("floorsAscended")),
"floorsDescended": _num(s.get("floorsDescended")),
"intensityMinutes": (
(_num(s.get("moderateIntensityMinutes")) or 0)
+ (_num(s.get("vigorousIntensityMinutes")) or 0)
) or None,
"sedentarySeconds": _num(s.get("sedentarySeconds")),
"activeSeconds": _num(s.get("activeSeconds")),
# --- heart / stress ---
"heartRate": _num(s.get("restingHeartRate"), s.get("averageHeartRate")),
"heartRateMax": _num(s.get("maxHeartRate")),
"heartRateMin": _num(s.get("minHeartRate")),
"heartRateVariability": _num(
hrv_summary.get("lastNightAvg"), hrv_summary.get("weeklyAvg")
),
"stress": _num(s.get("averageStressLevel")),
"stressMax": _num(s.get("maxStressLevel")),
# --- body battery ---
"bodyBatteryHigh": _num(s.get("bodyBatteryHighestValue")),
"bodyBatteryLow": _num(s.get("bodyBatteryLowestValue")),
"bodyBatteryCharged": _num(s.get("bodyBatteryChargedValue")),
"bodyBatteryDrained": _num(s.get("bodyBatteryDrainedValue")),
# --- breathing / blood oxygen ---
"spo2Avg": _num(s.get("averageSpo2")),
"spo2Min": _num(s.get("lowestSpo2")),
"respirationAvg": _num(
s.get("avgWakingRespirationValue"), s.get("latestRespirationValue")
),
"respirationMin": _num(s.get("lowestRespirationValue")),
"respirationMax": _num(s.get("highestRespirationValue")),
# --- sleep ---
"sleepDuration": round(sleep_seconds / 3600, 1) if sleep_seconds else None,
"sleepQuality": _num((scores.get("overall") or {}).get("value")),
"sleepDeepSeconds": secs("deepSleepSeconds"),
"sleepLightSeconds": secs("lightSleepSeconds"),
"sleepRemSeconds": secs("remSleepSeconds"),
"sleepAwakeSeconds": secs("awakeSleepSeconds"),
"sleepSpo2Avg": secs("averageSpO2Value"),
"sleepRespirationAvg": secs("averageRespirationValue"),
"sleepStressAvg": secs("avgSleepStress"),
# --- training ---
"trainingReadiness": _num(readiness.get("score")),
"vo2max": _num(vo2.get("vo2MaxValue")),
"enduranceScore": _num(endurance.get("overallScore")),
}
def sync_badges(client, user_id):
"""Earned badges. Keyed by Garmin's badge id, so re-syncing updates."""
badges = _safe(lambda: client.get_earned_badges(), []) or []
stored = 0
for b in badges:
bid = b.get("badgeId")
if bid is None:
continue
health.upsert_badge(user_id, {
"id": str(bid),
"badgeKey": b.get("badgeKey"),
"name": b.get("badgeName"),
"categoryId": _num(b.get("badgeCategoryId")),
"difficultyId": _num(b.get("badgeDifficultyId")),
"earnedDate": _to_datetime(b.get("badgeEarnedDate")),
"earnedCount": _num(b.get("badgeEarnedNumber")),
"points": _num(b.get("badgePoints")),
})
stored += 1
return stored
def sync_personal_records(client, user_id):
records = _safe(lambda: client.get_personal_record(), []) or []
stored = 0
for r in records:
rid = r.get("id")
if rid is None:
continue
health.upsert_personal_record(user_id, {
"id": str(rid),
"typeId": _num(r.get("typeId")),
"activityId": r.get("activityId"),
"activityName": r.get("activityName"),
"activityType": r.get("activityType"),
"value": _num(r.get("value")),
# Prefer the pre-formatted strings; the bare fields are epoch ms.
"achievedAt": _to_datetime(
r.get("prStartTimeLocalFormatted"),
r.get("prStartTimeGmtFormatted"),
r.get("activityStartDateTimeLocalFormatted"),
r.get("prStartTimeLocal"),
r.get("prStartTimeGmt"),
),
})
stored += 1
return stored
def _activity_end(start, duration_seconds):
if not start or not duration_seconds:
return start
for fmt in ("%Y-%m-%dT%H:%M:%S", "%Y-%m-%d %H:%M:%S", "%Y-%m-%dT%H:%M:%S.%f"):
try:
dt = datetime.datetime.strptime(start[:26], fmt)
return (dt + datetime.timedelta(seconds=duration_seconds)).isoformat()
except ValueError:
continue
return start
def _sync_activities(client, user_id, start_date, end_date):
"""Fetch the window's activities in one call and store the new ones."""
activities = client.get_activities_by_date(start_date, end_date) or []
stored = 0
for a in activities:
start = a.get("startTimeLocal") or a.get("startTime")
activity_type = (
(a.get("activityType") or {}).get("typeKey")
if isinstance(a.get("activityType"), dict)
else a.get("activityType")
) or "unknown"
duration = _num(a.get("duration"))
# Garmin activity ids are stable, so re-syncing a window must not
# duplicate what is already stored.
garmin_id = a.get("activityId")
if garmin_id is not None:
existing = query_one(
"SELECT id FROM activities WHERE user_id = ? AND id = ?",
[user_id, str(garmin_id)],
)
if existing:
continue
health.insert_activity(
user_id,
{
"id": str(garmin_id) if garmin_id is not None else None,
"activityType": activity_type,
"startTime": start,
"endTime": _activity_end(start, duration),
"duration": duration,
"distance": _num(a.get("distance")),
"calories": _num(a.get("calories")),
"heartRateAverage": _num(a.get("averageHR")),
"heartRateMax": _num(a.get("maxHR")),
},
)
stored += 1
return stored
# --- one activity, in full ---------------------------------------------------
# Garmin will return thousands of samples per activity. A phone chart cannot
# draw more than a few hundred usefully, and the payload is stored as a row, so
# the series are thinned on the way in rather than on every read.
DETAIL_MAX_POINTS = 300
# Descriptor key -> the name the UI charts by. Anything not listed is dropped:
# the full descriptor set runs to dozens of fields, most of them empty.
SERIES_KEYS = {
"directTimestamp": "timestamp",
"sumElapsedDuration": "elapsed",
"sumDuration": "duration",
"sumDistance": "distance",
"directHeartRate": "heartRate",
"directSpeed": "speed",
"directElevation": "elevation",
"directRunCadence": "cadence",
"directBikeCadence": "cadence",
"directDoubleCadence": "cadence",
"directPower": "power",
"directAirTemperature": "temperature",
}
def _thin(values, limit=DETAIL_MAX_POINTS):
"""Evenly sample a list down to `limit` points, keeping first and last."""
if len(values) <= limit:
return values
step = (len(values) - 1) / (limit - 1)
return [values[int(round(i * step))] for i in range(limit)]
def _series_from_details(details):
"""Turn Garmin's column-store detail payload into per-metric arrays.
The response is a descriptor list plus rows of parallel values, so every
metric has to be read out by the index its descriptor names.
"""
descriptors = details.get("metricDescriptors") or []
rows = details.get("activityDetailMetrics") or []
if not descriptors or not rows:
return {}
index = {}
for d in descriptors:
name = SERIES_KEYS.get(d.get("key"))
if name and name not in index:
index[name] = d.get("metricsIndex")
rows = _thin(rows)
out = {}
for name, position in index.items():
if position is None:
continue
column = []
for row in rows:
metrics = row.get("metrics") or []
column.append(metrics[position] if position < len(metrics) else None)
# A column of nothing but nulls is a sensor the watch does not have.
if any(v is not None for v in column):
out[name] = column
return out
def _lap_rows(splits):
laps = []
for i, lap in enumerate((splits or {}).get("lapDTOs") or [], start=1):
laps.append({
"index": lap.get("lapIndex") or i,
"duration": _num(lap.get("duration")),
"movingDuration": _num(lap.get("movingDuration")),
"distance": _num(lap.get("distance")),
"averageSpeed": _num(lap.get("averageSpeed")),
"maxSpeed": _num(lap.get("maxSpeed")),
"calories": _num(lap.get("calories")),
"averageHR": _num(lap.get("averageHR")),
"maxHR": _num(lap.get("maxHR")),
"elevationGain": _num(lap.get("elevationGain")),
"elevationLoss": _num(lap.get("elevationLoss")),
})
return laps
def _hr_zones(zones):
out = []
for z in zones or []:
out.append({
"zone": z.get("zoneNumber"),
"seconds": _num(z.get("secsInZone")) or 0,
"lowBoundary": _num(z.get("zoneLowBoundary")),
})
return sorted(out, key=lambda z: z.get("zone") or 0)
def _build_detail(client, activity_id):
"""Assemble everything Garmin knows about one activity.
Each call is wrapped: a watch without a barometer has no weather, a
treadmill run has no gear, and a missing optional endpoint must leave the
rest of the page intact rather than fail the request.
"""
summary = _safe(lambda: client.get_activity_evaluation(activity_id), {}) or {}
# 500 is already more samples than the 300 we keep, and asking for 2000
# triples the payload for points that get thinned away anyway.
details = _safe(
lambda: client.get_activity_details(activity_id, maxchart=500, maxpoly=0), {}
) or {}
return {
"activityId": str(activity_id),
"summary": summary.get("summaryDTO") or {},
"activityName": summary.get("activityName"),
"activityType": (summary.get("activityTypeDTO") or {}).get("typeKey"),
"eventType": (summary.get("eventTypeDTO") or {}).get("typeKey"),
"laps": _lap_rows(_safe(lambda: client.get_activity_splits(activity_id), {})),
"hrZones": _hr_zones(
_safe(lambda: client.get_activity_hr_in_timezones(activity_id), [])
),
"weather": _safe(lambda: client.get_activity_weather(activity_id), {}) or {},
"gear": _safe(lambda: client.get_activity_gear(activity_id), []) or [],
"exerciseSets": (
_safe(lambda: client.get_activity_exercise_sets(activity_id), {}) or {}
).get("exerciseSets") or [],
"series": _series_from_details(details),
}
def get_activity_detail(user_id, activity_id, creds=None, refresh=False):
"""Cached detail for one activity, fetched from Garmin on first open."""
activity_id = str(activity_id)
if not refresh:
row = query_one(
"SELECT payload FROM activity_details "
"WHERE user_id = ? AND activity_id = ?",
[user_id, activity_id],
)
if row and row.get("payload"):
try:
cached = json.loads(row["payload"])
cached["cached"] = True
return cached
except ValueError:
# A truncated row is worth refetching, not worth crashing on.
pass
client = _connect(creds or {}, user_id=user_id)
detail = _build_detail(client, activity_id)
cols = ["activity_id", "user_id", "payload", "fetched_at"]
values = [activity_id, user_id, json.dumps(detail, default=str),
datetime.datetime.utcnow().isoformat(timespec="seconds")]
placeholders = ", ".join(["?"] * len(cols))
if DB_TYPE == "mariadb":
updates = ", ".join(f"{c}=VALUES({c})" for c in cols if c != "activity_id")
sql = (f"INSERT INTO activity_details ({', '.join(cols)}) "
f"VALUES ({placeholders}) ON DUPLICATE KEY UPDATE {updates}")
else:
updates = ", ".join(f"{c}=excluded.{c}" for c in cols if c != "activity_id")
sql = (f"INSERT INTO activity_details ({', '.join(cols)}) VALUES "
f"({placeholders}) ON CONFLICT(activity_id) DO UPDATE SET {updates}")
execute(sql, values)
detail["cached"] = False
return detail
# Above this many days a sync is long enough that the caller must not block
# on it — a year takes roughly 20 minutes at ~3s per day.
BACKGROUND_THRESHOLD_DAYS = 14
def start_sync(user_id, creds, days=None):
"""Run a sync in the background and return immediately.
Progress lands in sync_status, which the UI polls; a full backfill runs
far longer than any sensible HTTP timeout.
"""
days = days or DEFAULT_SYNC_DAYS
now = datetime.datetime.utcnow().isoformat(timespec="seconds")
_set_sync_status(
user_id, "syncing", now,
records_synced=0, progress_current=0, progress_total=days,
started_at=now, last_error=None,
)
thread = threading.Thread(
target=sync_data, args=(user_id, creds, days), daemon=True
)
thread.start()
return {"status": "syncing", "days": days}
def sync_data(user_id, creds, days=None, client=None):
"""Pull the last `days` days from Garmin Connect into the local database.
`client` exists so tests can inject a stub instead of reaching Garmin.
"""
days = days or DEFAULT_SYNC_DAYS
now = datetime.datetime.utcnow().isoformat(timespec="seconds")
_set_sync_status(
user_id, "syncing", now,
records_synced=0, progress_current=0, progress_total=days,
)
try:
client = client or _connect(creds, user_id)
except Exception as e:
message = describe(e)
_set_sync_status(user_id, "error", now, records_synced=0, last_error=message)
return {
"status": "error",
"recordsSynced": 0,
"message": message,
"mfaRequired": isinstance(e, MFARequired),
"lastSyncTime": now,
}
today = datetime.date.today()
start_date = (today - datetime.timedelta(days=days - 1)).isoformat()
days_synced = 0
day_errors = []
for i in range(days):
date_str = (today - datetime.timedelta(days=i)).isoformat()
try:
record = _extract_daily(client, date_str)
except Exception as e:
day_errors.append(f"{date_str}: {describe(e)}")
continue
# A day Garmin has no data for comes back all-None; storing it would
# create an empty row that the metric endpoints then have to filter.
if any(record[k] is not None for k in record if k != "date"):
health.upsert_health_daily(user_id, record)
days_synced += 1
# Reported every few days rather than every day: the write is cheap
# but not free, and the UI polls on a 2s cadence anyway.
if (i + 1) % 5 == 0 or i + 1 == days:
_set_sync_status(
user_id, "syncing", now,
records_synced=days_synced, progress_current=i + 1,
progress_total=days,
)
activities_synced = 0
try:
activities_synced = _sync_activities(
client, user_id, start_date, today.isoformat()
)
except Exception as e:
day_errors.append(f"activities: {describe(e)}")
# Badges and personal records are account-wide rather than per-day, so
# they are fetched once per sync rather than inside the day loop.
badges_synced = 0
records_synced_pr = 0
try:
badges_synced = sync_badges(client, user_id)
except Exception as e:
day_errors.append(f"badges: {describe(e)}")
try:
records_synced_pr = sync_personal_records(client, user_id)
except Exception as e:
day_errors.append(f"personal_records: {describe(e)}")
# Every single day failing means something systemic (expired session,
# API change) — reporting that as a clean success would hide it.
if days_synced == 0 and len(day_errors) >= days:
message = "; ".join(day_errors[:3])
_set_sync_status(user_id, "error", now, records_synced=0, last_error=message)
return {"status": "error", "recordsSynced": 0,
"message": f"同步失败:{message}", "lastSyncTime": now}
_set_sync_status(
user_id, "idle", now, records_synced=days_synced,
progress_current=days, progress_total=days,
last_error="; ".join(day_errors[:3]) if day_errors else None,
)
message = (
f"同步完成,更新 {days_synced} 天数据、{activities_synced} 条运动记录、"
f"{badges_synced} 个奖励、{records_synced_pr} 项个人纪录"
)
if day_errors:
message += f"{len(day_errors)} 项跳过)"
return {
"status": "success",
"recordsSynced": days_synced,
"activitiesSynced": activities_synced,
"badgesSynced": badges_synced,
"personalRecordsSynced": records_synced_pr,
"message": message,
"lastSyncTime": now,
}