Fitbit Analytics
2026-03-31
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Fitbit 数据分析
快速开始
# Set Fitbit API credentials
export FITBIT_CLIENT_ID="your_client_id"
export FITBIT_CLIENT_SECRET="your_client_secret"
export FITBIT_ACCESS_TOKEN="your_access_token"
export FITBIT_REFRESH_TOKEN="your_refresh_token"
# Generate morning briefing with Active Zone Minutes
python scripts/fitbit_briefing.py
# Fetch daily steps
python scripts/fitbit_api.py steps --days 7
# Get heart rate data
python scripts/fitbit_api.py heartrate --days 7
# Sleep summary
python scripts/fitbit_api.py sleep --days 7
# Generate weekly health report
python scripts/fitbit_api.py report --type weekly
# Get activity summary
python scripts/fitbit_api.py summary --days 7
何时使用
在以下情况下使用此技能:
- 获取 Fitbit 指标(步数、卡路里、心率、睡眠)
- 分析随时间变化的活动趋势
- 为不活动或异常心率设置提醒
- 生成每日/每周健康报告
核心工作流程
1. 每日简报
# Generate morning health briefing (includes Active Zone Minutes)
python scripts/fitbit_briefing.py # Today's briefing
python scripts/fitbit_briefing.py --date 2026-01-20 # Specific date
python scripts/fitbit_briefing.py --format brief # 3-line summary
python scripts/fitbit_briefing.py --format json # JSON output
# Example output includes:
# - Yesterday's activities (logged exercises)
# - Yesterday's Active Zone Minutes (total, Fat Burn, Cardio, Peak)
# - Today's activity summary (steps, calories, floors, distance)
# - Heart rate (resting, average, zones)
# - Sleep (duration, efficiency, awake episodes)
# - Trends vs 7-day average
示例 JSON 输出:

{
"date": "2026-01-21",
"steps_today": 8543,
"calories_today": 2340,
"distance_today": 6.8,
"floors_today": 12,
"active_minutes": 47,
"resting_hr": 58,
"avg_hr": 72,
"sleep_hours": 7.2,
"sleep_efficiency": 89,
"awake_minutes": 12,
"yesterday_activities": [
{"name": "Run", "duration": 35, "calories": 320}
],
"yesterday_azm": {
"activeZoneMinutes": 61,
"fatBurnActiveZoneMinutes": 39,
"cardioActiveZoneMinutes": 22
}
}
注意:心脏负荷数据无法通过 Fitbit API 获取——它是 Fitbit Premium 功能,仅在移动应用中可见。
2. 数据获取(命令行界面)
# Available commands:
python scripts/fitbit_api.py steps --days 7
python scripts/fitbit_api.py calories --days 7
python scripts/fitbit_api.py heartrate --days 7
python scripts/fitbit_api.py sleep --days 7
python scripts/fitbit_api.py summary --days 7
python scripts/fitbit_api.py report --type weekly
3. 数据获取(Python API)
export PYTHONPATH="{baseDir}/scripts"
python - <<'PY'
from fitbit_api import FitbitClient
client = FitbitClient() # Uses env vars for credentials
# Fetch data (requires start_date and end_date)
steps_data = client.get_steps(start_date="2026-01-01", end_date="2026-01-16")
hr_data = client.get_heartrate(start_date="2026-01-01", end_date="2026-01-16")
sleep_data = client.get_sleep(start_date="2026-01-01", end_date="2026-01-16")
activity_summary = client.get_activity_summary(start_date="2026-01-01", end_date="2026-01-16")
PY
4. 分析
export PYTHONPATH="{baseDir}/scripts"
python - <<'PY'
from fitbit_api import FitbitAnalyzer
analyzer = FitbitAnalyzer(steps_data, hr_data)
summary = analyzer.summary()
print(summary) # Returns: avg_steps, avg_resting_hr, step_trend
PY
5. 提醒
python {baseDir}/scripts/alerts.py --days 7 --steps 8000 --sleep 7
脚本
scripts/fitbit_api.py- Fitbit Web API 封装、命令行界面和分析scripts/fitbit_briefing.py- 晨间简报命令行界面(支持文本/简报/JSON格式输出)脚本/警报.py- 基于阈值的通知
可用的API方法
| 方法 | 描述 |
|---|---|
获取步数(起始时间, 结束时间) | 每日步数统计 |
获取卡路里(起始时间, 结束时间) | 每日消耗卡路里 |
获取距离(起始时间, 结束时间) | 每日运动距离 |
获取活动摘要(起始时间, 结束时间) | 活动摘要 |
获取心率(起始时间, 结束时间) | 心率数据 |
获取睡眠(起始时间, 结束时间) | 睡眠数据 |
获取睡眠阶段(起始时间, 结束时间) | 详细睡眠阶段 |
获取血氧(起始时间, 结束时间) | 血氧水平 |
获取体重(起始时间, 结束时间) | 体重测量 |
get_active_zone_minutes(开始时间, 结束时间) | 活跃区间分钟数 (AZM) 细分 |
参考资料
references/api.md- Fitbit Web API 文档references/metrics.md- 指标定义与解释
身份验证
Fitbit API 需要 OAuth 2.0 身份验证:
- 在此创建应用:https://dev.fitbit.com/apps
- 获取 client_id 和 client_secret
- 完成 OAuth 流程以获取 access_token 和 refresh_token
- 设置环境变量或传递给脚本
环境
必需:
FITBIT_CLIENT_IDFITBIT_CLIENT_SECRETFITBIT_ACCESS_TOKENFITBIT_REFRESH_TOKEN
自动化(定时任务)
Cron任务是在OpenClaw的网关中配置的,而不是在这个代码仓库中。请将这些设置添加到你的OpenClaw配置中:
每日晨间简报(上午8:00)
openclaw cron add \
--name "Morning Fitbit Health Report" \
--cron "0 8 * * *" \
--tz "America/Los_Angeles" \
--session isolated \
--wake next-heartbeat \
--deliver \
--channel telegram \
--target "<YOUR_TELEGRAM_CHAT_ID>" \
--message "python3 /path/to/your/scripts/fitbit_briefing.py --format text"
注意:替换/path/to/your/为你的实际路径,并替换<YOUR_TELEGRAM_CHAT_ID>为你的Telegram频道/群组ID。
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