393 lines
15 KiB
Python
393 lines
15 KiB
Python
#!/usr/bin/env python3
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"""
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Gadgetbridge MQTT Step Counter Integration
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Extracts sensor data from Gadgetbridge SQLite database and publishes to Home Assistant via MQTT
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"""
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import os
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import sqlite3
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import json
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import time
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import logging
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from datetime import datetime, timedelta
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from typing import Dict, List, Optional, Any
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import asyncio
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import aiomqtt
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import re
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class GadgetbridgeMQTTPublisher:
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def __init__(self):
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self.setup_logging()
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self.db_path = os.getenv("GADGETBRIDGE_DB_PATH", "/data/Gadgetbridge.db")
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raw_name = os.getenv("DEVICE_NAME", "fitness_tracker")
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self.device_name = re.sub(r"\W+", "_", raw_name).lower()
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self.load_config()
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self.mqtt_client = None
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self.publish_interval = int(os.getenv("PUBLISH_INTERVAL_SECONDS", "300"))
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self.sensors = [
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{
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"name": "Daily Steps",
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"unique_id": "daily_steps",
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"state_topic": f"gadgetbridge/{self.device_name}/steps/daily",
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"unit_of_measurement": "steps",
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"icon": "mdi:walk",
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"state_class": "total_increasing",
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"query": self.query_daily_steps,
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},
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{
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"name": "Weekly Steps",
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"unique_id": "weekly_steps",
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"state_topic": f"gadgetbridge/{self.device_name}/steps/weekly",
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"unit_of_measurement": "steps",
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"icon": "mdi:walk",
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"state_class": "total",
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"query": self.query_weekly_steps,
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},
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{
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"name": "Monthly Steps",
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"unique_id": "monthly_steps",
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"state_topic": f"gadgetbridge/{self.device_name}/steps/monthly",
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"unit_of_measurement": "steps",
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"icon": "mdi:walk",
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"state_class": "total",
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"query": self.query_monthly_steps,
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},
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{
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"name": "Last Sync",
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"unique_id": "last_sync",
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"state_topic": f"gadgetbridge/{self.device_name}/last_sync",
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"icon": "mdi:sync",
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"device_class": "timestamp",
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"query": self.query_last_sync,
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},
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{
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"name": "Battery Level",
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"unique_id": "battery_level",
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"state_topic": f"gadgetbridge/{self.device_name}/battery",
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"unit_of_measurement": "%",
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"icon": "mdi:battery",
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"device_class": "battery",
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"query": self.query_battery_level,
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},
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{
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"name": "Weight",
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"unique_id": "weight",
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"state_topic": f"gadgetbridge/{self.device_name}/weight",
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"unit_of_measurement": "kg",
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"icon": "mdi:scale-bathroom",
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"state_class": "measurement",
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"query": self.query_latest_weight,
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},
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{
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"name": "Latest Heart Rate",
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"unique_id": "latest_heart_rate",
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"state_topic": f"gadgetbridge/{self.device_name}/heart_rate",
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"unit_of_measurement": "bpm",
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"icon": "mdi:heart-pulse",
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"state_class": "measurement",
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"query": self.query_latest_heart_rate,
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},
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{
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"name": "Resting Heart Rate",
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"unique_id": "hr_resting",
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"state_topic": f"gadgetbridge/{self.device_name}/hr_resting",
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"unit_of_measurement": "bpm",
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"icon": "mdi:heart-pulse",
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"state_class": "measurement",
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"query": self.query_hr_resting,
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},
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{
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"name": "Max Heart Rate",
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"unique_id": "hr_max",
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"state_topic": f"gadgetbridge/{self.device_name}/hr_max",
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"unit_of_measurement": "bpm",
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"icon": "mdi:heart-pulse",
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"state_class": "measurement",
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"query": self.query_hr_max,
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},
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{
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"name": "Average Heart Rate",
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"unique_id": "hr_avg",
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"state_topic": f"gadgetbridge/{self.device_name}/hr_avg",
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"unit_of_measurement": "bpm",
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"icon": "mdi:heart-pulse",
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"state_class": "measurement",
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"query": self.query_hr_avg,
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},
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{
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"name": "Calories",
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"unique_id": "calories",
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"state_topic": f"gadgetbridge/{self.device_name}/calories",
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"unit_of_measurement": "kcal",
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"icon": "mdi:fire",
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"state_class": "total_increasing",
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"query": self.query_calories,
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},
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{
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"name": "Wakeup Time",
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"unique_id": "wakeup_time",
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"state_topic": f"gadgetbridge/{self.device_name}/wakeup_time",
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"icon": "mdi:weather-sunset-up",
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"device_class": "timestamp",
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"query": self.query_wakeup_time,
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},
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{
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"name": "Is Awake",
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"unique_id": "is_awake",
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"state_topic": f"gadgetbridge/{self.device_name}/is_awake",
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"icon": "mdi:power-sleep",
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"device_class": "enum",
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"query": self.query_is_awake,
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},
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{
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"name": "Total Sleep Duration",
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"unique_id": "total_sleep_duration",
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"state_topic": f"gadgetbridge/{self.device_name}/total_sleep_duration",
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"unit_of_measurement": "h",
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"icon": "mdi:sleep",
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"state_class": "measurement",
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"query": self.query_total_sleep_duration,
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},
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]
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def setup_logging(self):
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"""Setup logging configuration"""
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s - %(levelname)s - %(message)s",
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handlers=[
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logging.FileHandler("/app/logs/gadgetbridge_mqtt.log"),
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logging.StreamHandler(),
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],
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)
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self.logger = logging.getLogger(__name__)
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def load_config(self):
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"""Load MQTT configuration from environment variables"""
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self.mqtt_config = {
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"broker": os.getenv("MQTT_BROKER", "localhost"),
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"port": int(os.getenv("MQTT_PORT", "1883")),
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"username": os.getenv("MQTT_USERNAME", ""),
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"password": os.getenv("MQTT_PASSWORD", ""),
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}
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async def publish_home_assistant_discovery(
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self, entity_type: str, entity_id: str, config: Dict
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):
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"""Publish Home Assistant MQTT discovery configuration asynchronously"""
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discovery_topic = (
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f"homeassistant/{entity_type}/{self.device_name}_{entity_id}/config"
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)
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try:
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await self.mqtt_client.publish(
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discovery_topic, json.dumps(config), qos=1, retain=True
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)
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self.logger.info(f"Published discovery config for {entity_id}")
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except Exception as e:
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self.logger.error(f"Failed to publish discovery config: {e}")
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async def setup_home_assistant_entities(self):
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"""Setup Home Assistant entities via MQTT discovery"""
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device_info = {
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"identifiers": [self.device_name],
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"name": f"Gadgetbridge {self.device_name.replace('_', ' ').title()}",
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"model": "Fitness Tracker",
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"manufacturer": "Gadgetbridge",
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}
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for sensor in self.sensors:
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config = {
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"name": f"{self.device_name.replace('_', ' ').title()} {sensor['name']}",
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"unique_id": f"{self.device_name}_{sensor['unique_id']}",
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"state_topic": sensor["state_topic"],
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"device": device_info,
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}
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# Add optional fields if present
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for key in ["unit_of_measurement", "icon", "state_class", "device_class"]:
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if key in sensor:
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config[key] = sensor[key]
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await self.publish_home_assistant_discovery(
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"sensor", sensor["unique_id"], config
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)
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def query_daily_steps(self, cursor) -> Any:
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today = datetime.now().date()
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today_start = int(datetime.combine(today, datetime.min.time()).timestamp())
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today_end = int(datetime.combine(today, datetime.max.time()).timestamp())
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cursor.execute(
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"SELECT SUM(STEPS) FROM XIAOMI_ACTIVITY_SAMPLE WHERE TIMESTAMP >= ? AND TIMESTAMP <= ?",
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(today_start, today_end),
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)
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return cursor.fetchone()[0] or 0
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def query_weekly_steps(self, cursor) -> Any:
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today = datetime.now().date()
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week_start = today - timedelta(days=today.weekday())
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week_start_ts = int(
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datetime.combine(week_start, datetime.min.time()).timestamp()
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)
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cursor.execute(
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"SELECT SUM(STEPS) FROM XIAOMI_ACTIVITY_SAMPLE WHERE TIMESTAMP >= ?",
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(week_start_ts,),
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)
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return cursor.fetchone()[0] or 0
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def query_monthly_steps(self, cursor) -> Any:
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today = datetime.now().date()
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month_start = today.replace(day=1)
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month_start_ts = int(
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datetime.combine(month_start, datetime.min.time()).timestamp()
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)
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cursor.execute(
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"SELECT SUM(STEPS) FROM XIAOMI_ACTIVITY_SAMPLE WHERE TIMESTAMP >= ?",
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(month_start_ts,),
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)
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return cursor.fetchone()[0] or 0
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def query_last_sync(self, cursor) -> Any:
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cursor.execute("SELECT MAX(TIMESTAMP) FROM XIAOMI_ACTIVITY_SAMPLE")
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last_sync_ts = cursor.fetchone()[0]
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return (
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datetime.fromtimestamp(last_sync_ts).isoformat() if last_sync_ts else None
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)
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def query_battery_level(self, cursor) -> Any:
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cursor.execute(
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"SELECT LEVEL FROM BATTERY_LEVEL ORDER BY TIMESTAMP DESC LIMIT 1"
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)
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row = cursor.fetchone()
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return row[0] if row else None
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def query_latest_weight(self, cursor) -> Any:
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cursor.execute(
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"SELECT WEIGHT_KG FROM MI_SCALE_WEIGHT_SAMPLE ORDER BY TIMESTAMP DESC LIMIT 1"
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)
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row = cursor.fetchone()
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return row[0] if row else None
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def query_latest_heart_rate(self, cursor) -> Any:
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cursor.execute(
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"SELECT HEART_RATE FROM XIAOMI_ACTIVITY_SAMPLE ORDER BY TIMESTAMP DESC LIMIT 1"
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)
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row = cursor.fetchone()
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return row[0] if row else None
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def query_hr_resting(self, cursor) -> Any:
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cursor.execute(
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"SELECT HR_RESTING FROM XIAOMI_DAILY_SUMMARY_SAMPLE ORDER BY TIMESTAMP DESC LIMIT 1"
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)
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row = cursor.fetchone()
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return row[0] if row else None
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def query_hr_max(self, cursor) -> Any:
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cursor.execute(
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"SELECT HR_MAX FROM XIAOMI_DAILY_SUMMARY_SAMPLE ORDER BY TIMESTAMP DESC LIMIT 1"
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)
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row = cursor.fetchone()
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return row[0] if row else None
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def query_hr_avg(self, cursor) -> Any:
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cursor.execute(
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"SELECT HR_AVG FROM XIAOMI_DAILY_SUMMARY_SAMPLE ORDER BY TIMESTAMP DESC LIMIT 1"
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)
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row = cursor.fetchone()
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return row[0] if row else None
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def query_calories(self, cursor) -> Any:
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cursor.execute(
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"SELECT CALORIES FROM XIAOMI_DAILY_SUMMARY_SAMPLE ORDER BY TIMESTAMP DESC LIMIT 1"
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)
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row = cursor.fetchone()
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return row[0] if row else None
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def query_wakeup_time(self, cursor) -> Any:
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cursor.execute(
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"SELECT WAKEUP_TIME FROM XIAOMI_SLEEP_TIME_SAMPLE ORDER BY TIMESTAMP DESC LIMIT 1"
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)
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row = cursor.fetchone()
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return datetime.fromtimestamp(row[0]).isoformat() if row and row[0] else None
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def query_is_awake(self, cursor) -> Any:
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cursor.execute(
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"SELECT IS_AWAKE FROM XIAOMI_SLEEP_TIME_SAMPLE ORDER BY TIMESTAMP DESC LIMIT 1"
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)
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row = cursor.fetchone()
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# Return as boolean or string for Home Assistant
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return bool(row[0]) if row else None
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def query_total_sleep_duration(self, cursor) -> Any:
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cursor.execute(
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"SELECT TOTAL_DURATION FROM XIAOMI_SLEEP_TIME_SAMPLE ORDER BY TIMESTAMP DESC LIMIT 1"
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)
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row = cursor.fetchone()
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# Convert minutes to hours, round to 2 decimals
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return round(row[0] / 60, 2) if row and row[0] is not None else None
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def get_sensor_data(self) -> Dict[str, Any]:
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"""Query all sensors and return their values as a dict"""
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if not os.path.exists(self.db_path):
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self.logger.error(f"Database file not found: {self.db_path}")
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return {}
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try:
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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data = {}
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for sensor in self.sensors:
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try:
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data[sensor["unique_id"]] = sensor["query"](cursor)
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except Exception as e:
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self.logger.error(f"Error querying {sensor['unique_id']}: {e}")
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data[sensor["unique_id"]] = None
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conn.close()
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return data
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except Exception as e:
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self.logger.error(f"Error querying database: {e}")
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return {}
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async def publish_sensor_data(self, data: Dict[str, Any]):
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"""Publish all sensor data to MQTT asynchronously"""
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for sensor in self.sensors:
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value = data.get(sensor["unique_id"])
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if value is not None:
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try:
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await self.mqtt_client.publish(
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sensor["state_topic"], str(value), qos=1
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)
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except Exception as e:
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self.logger.error(f"Failed to publish {sensor['unique_id']}: {e}")
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self.logger.info(f"Published sensor data: {data}")
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async def run(self):
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"""Main execution method (async)"""
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self.logger.info("Starting Gadgetbridge MQTT Publisher")
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try:
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async with aiomqtt.Client(
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hostname=self.mqtt_config["broker"],
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port=self.mqtt_config["port"],
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username=self.mqtt_config["username"] or None,
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password=self.mqtt_config["password"] or None,
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) as client:
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self.mqtt_client = client
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await self.setup_home_assistant_entities()
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# Publish immediately on startup
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sensor_data = self.get_sensor_data()
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await self.publish_sensor_data(sensor_data)
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self.logger.info(
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f"Sleeping for {self.publish_interval} seconds before next publish..."
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)
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while True:
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await asyncio.sleep(self.publish_interval)
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sensor_data = self.get_sensor_data()
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await self.publish_sensor_data(sensor_data)
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self.logger.info(
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f"Sleeping for {self.publish_interval} seconds before next publish..."
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)
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except Exception as e:
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self.logger.error(f"Failed to connect to MQTT broker: {e}")
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# --- Main Entry Point ---
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if __name__ == "__main__":
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publisher = GadgetbridgeMQTTPublisher()
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asyncio.run(publisher.run())
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