Files
GarminHealthLab/backend/services/health.py
ericwyuan 6de7562cd8 [阶段5.1] 开机自启 + 接入真实 garminconnect,修复同步的三处 API 误用
fix(garmin): 同步代码调用的 garminconnect API 全是错的

装上库核对签名后发现(garminconnect 0.2.8),原代码从未被真正
执行过,三处调用都不成立:

1. get_activities(date) —— 该方法签名是 (start, limit),收的是
   分页下标和条数,不是日期。传日期等于在问"第 2026-08-23 条运动",
   而且少传一个参数必然 TypeError。
   改为 get_activities_by_date(start, end),整个窗口一次取回,
   顺带把原来"每天一次调用"减为一次。

2. 睡眠数据不在 get_user_summary 里,是独立的 get_sleep_data(cdate);
   原代码从 summary 里读 sleep 字段,结果会把每一晚都记成无睡眠数据。
   HRV 同理,走 get_hrv_data(cdate)。

3. 字段名不符:实际是 totalSteps / totalKilocalories /
   averageStressLevel,原代码用的是 steps / calories.total /
   stress.average。

其他改进:
- 运动记录改用 Garmin 自己的 activityId 作主键,重复同步同一窗口
  不再产生重复行(原来每次同步都会把同一条运动再插一遍)
- 某天无数据时返回全 None,不再写入空行让读端点再过滤掉
- 原来 bare except 吞掉每天的异常,全部失败也报 success;
  现在全窗口失败会如实返回 error 并记录原因
- 同步天数、是否走 Garmin 中国区改为环境变量可配

tests/test_garmin_sync.py (23 通过):
- 用 StubClient 模拟真实 0.2.8 的接口形状,无需库、凭证或网络
- 回归用例覆盖上述三处误用:活动必须按日期区间一次取回、
  睡眠与 HRV 必须走各自端点
- 重复同步不产生重复的天和重复的运动记录
- 单天失败跳过、全窗口失败报错、登录失败如实上报

部署:
- NAS 安装 garminconnect(pydantic-core 有 cp38 x86_64 轮子,
  无需 gcc)
- 新增 deploy/S99garmin.sh 开机自启脚本,与 NAS 上既有的
  S99frpc.sh 同一套惯例;以 root 启动但降权到 ericwyuan 运行,
  因为服务不需要特权而 .env 里有数据库和 API 凭证
- PID 文件放应用目录而非 /var/run(非特权用户写不了)

NAS 真机全量测试: 240 passed

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-08-23 19:05:19 +08:00

157 lines
5.3 KiB
Python

"""
Health data service: read endpoints + upsert helpers used by the Garmin sync.
Mirrors the original Node HealthService, including the camelCase JSON mapping.
Upserts use backend-specific SQL because SQLite does not support
`ON DUPLICATE KEY UPDATE` (it uses `ON CONFLICT ... DO UPDATE`).
"""
import uuid
from db import execute, query_one, query_all
from config import DB_TYPE
def _range_sql(user_id, start=None, end=None):
params = [user_id]
sql = "WHERE user_id = ?"
if start:
sql += " AND date >= ?"
params.append(start)
if end:
sql += " AND date <= ?"
params.append(end)
return sql, params
def get_summary(user_id, start=None, end=None):
sql, params = _range_sql(user_id, start, end)
rows = query_all(
"SELECT date, steps, heart_rate, heart_rate_variability, "
"sleep_duration, sleep_quality, stress, calories_burned "
f"FROM health_data {sql} ORDER BY date ASC",
params,
)
return [
{
"date": r["date"],
"steps": r["steps"],
"heartRate": r["heart_rate"],
"heartRateVariability": r["heart_rate_variability"],
"sleep": (
{"duration": r["sleep_duration"], "quality": r["sleep_quality"]}
if r["sleep_duration"] is not None
else None
),
"stress": r["stress"],
"caloriesBurned": r["calories_burned"],
}
for r in rows
]
def get_steps(user_id, start=None, end=None):
sql, params = _range_sql(user_id, start, end)
rows = query_all(
f"SELECT date, steps FROM health_data {sql} AND steps IS NOT NULL ORDER BY date ASC",
params,
)
return [{"date": r["date"], "steps": r["steps"]} for r in rows]
def get_heart_rate(user_id, start=None, end=None):
sql, params = _range_sql(user_id, start, end)
rows = query_all(
f"SELECT date, heart_rate, heart_rate_variability FROM health_data {sql} "
"AND heart_rate IS NOT NULL ORDER BY date ASC",
params,
)
return [
{
"date": r["date"],
"heartRate": r["heart_rate"],
"heartRateVariability": r["heart_rate_variability"],
}
for r in rows
]
def get_sleep(user_id, start=None, end=None):
sql, params = _range_sql(user_id, start, end)
rows = query_all(
f"SELECT date, sleep_duration, sleep_quality FROM health_data {sql} "
"AND sleep_duration IS NOT NULL ORDER BY date ASC",
params,
)
return [
{"date": r["date"], "duration": r["sleep_duration"], "quality": r["sleep_quality"]}
for r in rows
]
def get_activities(user_id, start=None, end=None):
sql, params = _range_sql(user_id, start, end)
rows = query_all(
"SELECT id, activity_type, start_time, end_time, duration, distance, "
"calories, heart_rate_average, heart_rate_max "
f"FROM activities {sql} ORDER BY start_time DESC",
params,
)
return rows
def upsert_health_daily(user_id, record):
hid = f"{user_id}-{record['date']}"
cols = [
"id", "user_id", "date", "steps", "heart_rate",
"heart_rate_variability", "blood_pressure_systolic",
"blood_pressure_diastolic", "sleep_duration", "sleep_quality",
"stress", "calories_burned",
]
placeholders = ", ".join(["?"] * len(cols))
vals = [
hid, user_id, record.get("date"), record.get("steps"),
record.get("heartRate"), record.get("heartRateVariability"),
record.get("bloodPressureSystolic"), record.get("bloodPressureDiastolic"),
record.get("sleepDuration"), record.get("sleepQuality"),
record.get("stress"), record.get("caloriesBurned"),
]
if DB_TYPE == "mariadb":
update_cols = [c for c in cols if c not in ("id", "user_id")]
updates = ", ".join([f"{c}=VALUES({c})" for c in update_cols])
sql = (
f"INSERT INTO health_data ({', '.join(cols)}) VALUES ({placeholders}) "
f"ON DUPLICATE KEY UPDATE {updates}, updated_at=CURRENT_TIMESTAMP"
)
else:
update_cols = [c for c in cols if c not in ("id", "user_id")]
updates = ", ".join([f"{c}=excluded.{c}" for c in update_cols])
sql = (
f"INSERT INTO health_data ({', '.join(cols)}) VALUES ({placeholders}) "
f"ON CONFLICT(user_id, date) DO UPDATE SET {updates}, updated_at=CURRENT_TIMESTAMP"
)
execute(sql, vals)
return hid
def insert_activity(user_id, activity):
# Prefer Garmin's own activity id when the caller has one: it is stable
# across syncs, which is what lets a re-synced window skip what is already
# stored instead of inserting it again.
aid = str(activity.get("id") or uuid.uuid4())
cols = [
"id", "user_id", "activity_type", "start_time", "end_time",
"duration", "distance", "calories", "heart_rate_average", "heart_rate_max",
]
placeholders = ", ".join(["?"] * len(cols))
vals = [
aid, user_id, activity.get("activityType"), activity.get("startTime"),
activity.get("endTime"), activity.get("duration"), activity.get("distance"),
activity.get("calories"), activity.get("heartRateAverage"),
activity.get("heartRateMax"),
]
execute(
f"INSERT INTO activities ({', '.join(cols)}) VALUES ({placeholders})",
vals,
)
return aid