48 lines
1.7 KiB
Markdown
48 lines
1.7 KiB
Markdown
# Bluetooth LE to MQTT bridge for the Xiaomi Mijia Temperature & Humidity sensor
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[](https://ci.cuzo.dev/parra/mijia-sensors)
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## Create environment file
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Copy the `env_file` to `.env` and open it. Complete all environment variables:
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- `MQTT_[SERVER/PORT/USER/PASSWORD/CLIENT_ID]` are used to connect with the broker.
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- `MQTT_TOPIC_PREFIX` define the prefix for all topics with sensor info.
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- `MQTT_TELE_PREFIX` is used to publish the sensor data, like battery or status.
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- `MQTT_SENSOR_NAME` contains the sensor name, useful to split the telemetry data if you have more than one sensors.
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- `MQTT_PUBLISH_DELAY` specify, in seconds, how many time should wait since the script take the measurements to publish in the broker
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- `MIJIA_BTLE_ADDRESS` constant with the BLE address of your Mijia device.. This can be retrieved activating the pairing mode in the sensor and scanning the BT devices
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- `PING_URL` used to ping a monitoring service if everything was OK (Useful, for example, for monitor the script with Uptime Kuma)
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## Install dependencies
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You'll need to install bluez and python3. Then you'll need pip3 to install bluepy.
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Example on a Raspberry Pi 3:
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```sh
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$ sudo apt-get install python-pip libglib2.0-dev
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$ sudo pip3 install -r requirements.txt
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```
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## Run
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You can execute the script directly using the command:
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```sh
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$ ./main.py
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```
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Or you can add a new entry in the `crontab`, like:
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```sh
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*/20 * * * * /usr/bin/python3 ~/scripts/mijia-temperature/main.py >~/scripts/mijia-temperature/last.log 2>&1
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```
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The published message will have this structure:
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```json
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{
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"id": "mijia-sensor-1",
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"battery": 74,
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"temperature": 21.4,
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"humidity": 47.3
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}
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```
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