Code to read weight measurements from Xiaomi Body Scales.

Please note that as off 0.2.0, the config is now located in options.json and no longer in the docker-compose / environment Please read on for for more information. This change was necessary to allow for unlimited number of users.

Name	Model	Picture
Mi Smart Scale 2	XMTZCO1HM, XMTZC04HM
Mi Body Composition Scale	XMTZC02HM
Mi Body Composition Scale 2	XMTZC05HM

If using Home Assistant (formerly known as hass.io), try instead the Xiaomi Mi Scale Add-On for Home Assistant based on this repository.

1. Retrieve the scale's MAC Address from the Xiaomi Mi Fit App:

1. Supported platforms:
   1. linux/386
   2. linux/amd64
   3. linux/arm32v6
   4. linux/arm32v7
   5. linux/arm64v8
2. Open docker-compose.yml (see below) and edit the environment to suit your configuration...
3. Stand up the container - docker-compose up -d

version: '3'
services:

  mi-scale:
    image: lolouk44/xiaomi-mi-scale:latest
    container_name: mi-scale
    restart: always

    network_mode: host
    privileged: true
    volumes:
      - ./data:/data
      - /var/run/dbus/:/var/run/dbus/:ro #needed for bleak

All the config needs to be in a file named options.json. You can get a copy of one with minimum config here

List of options

Auto-gender selection/config -- This is used to create the calculations such as BMI, Water/Bone Mass etc... Here is the logic used to assign a measured weight to a user:

• If the weight is within the range of a user's defined values for GT and LT, then it will be assigned (published) to that user.
• If the weight matches two separate user ranges, it will only be assigned to the first user that matched (so don't overlap ranges!)

Note: The weight definitions must be in the same unit as the scale (kg, Lbs, jin)

Note: Python 3.6 or higher is required to run the script manually

Note: this is now deprecated. It would still work provided the path to options.json is manually set in the code manually set path at line 39: with open('/data/options.json') as json_file

1. Install python requirements (pip3 install -r requirements.txt)
2. Open wrapper.sh and configure your environment variables to suit your setup.
3. Add a cron-tab entry to wrapper like so:

@reboot bash /path/to/wrapper.sh

NOTE: Although once started the script runs continuously, it may take a few seconds for the data to be retrieved, computed and sent via mqtt.

Under the sensor block, enter as many blocks as users configured in your environment variables.

mqtt:
  sensor:
    - name: "Example Name Weight"
      state_topic: "miscale/USER_NAME/weight"
      value_template: "{{ value_json['weight'] }}"
      unit_of_measurement: "kg"
      json_attributes_topic: "miscale/USER_NAME/weight"
      icon: mdi:scale-bathroom
      # Below lines only needed if long term statistics are required
      state_class: "measurement"

    - name: "Example Name BMI"
      state_topic: "miscale/USER_NAME/weight"
      value_template: "{{ value_json['bmi'] }}"
      icon: mdi:human-pregnant
      unit_of_measurement: "kg/m2"
      # Below lines only needed if long term statistics are required
     state_class: "measurement"

Thanks to @syssi (https://gist.github.com/syssi/4108a54877406dc231d95514e538bde9) and @prototux (https://github.com/wiecosystem/Bluetooth) for their initial code

Special thanks to @ned-kelly for his help turning a "simple" python script into a fully fledged docker container

Thanks to @bpaulin, @AiiR42, @andreasbrett for their PRs and collaboration