xiaomi_mi_scale/README.md

# Xiaomi Mi Scale

Code to read weight measurements from [Mi Body Composition Scale](https://www.mi.com/global/mi-body-composition-scale/) (aka Xiaomi Mi Scale V2)

![Mi Scale](Screenshots/Mi_Scale.png)

Note: Framework is present to also read from Xiaomi Scale V1, although I do not own one to test so code has not been maintained

## Getting the Mac Address of your Scale:

1. Retrieve the scale's MAC Address (you can identify your scale by looking for `MIBCS` entries) using this command:
```
$ sudo hcitool lescan
LE Scan ...
F8:04:33:AF:AB:A2 [TV] UE48JU6580
C4:D3:8C:12:4C:57 MIBCS
[...]
```
1. Note down your `MIBCS` mac address - we will need to use this as part of your configuration...

## Setup & Configuration:
### Running script with Docker:

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

### docker-compose:
```
version: '3'
services:

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

    network_mode: host
    privileged: true

    environment:
    - MISCALE_MAC="00:00:00:00:00:00" # Mac address of your scale
    - MQTT_HOST=127.0.0.1  # MQTT Server (defaults to 127.0.0.1)
    - MQTT_PREFIX=miScale
    - MQTT_USERNAME=       # Username for MQTT server (comment out if not required)
    - MQTT_PASSWORD=       # Password for MQTT (comment out if not required)
    - MQTT_PORT=           # Defaults to 1883
    - MQTT_TIMEOUT=30      # Defaults to 60

      # Auto-gender selection/config -- This is used to create the calculations such as BMI, Water/Bone Mass etc...
      # Up to 3 users possible as long as weights do not overlap!

    - USER1_GT=70            # If the weight is greater than this number, we'll assume that we're weighing User #1
    - USER1_SEX=male
    - USER1_NAME=Jo          # Name of the user
    - USER1_HEIGHT=175       # Height (in cm) of the user
    - USER1_DOB="1990-01-01" # DOB (in yyyy-mm-dd format)

    - USER2_LT=35            # If the weight is less than this number, we'll assume that we're weighing User #2
    - USER2_SEX=female
    - USER2_NAME=Serena      # Name of the user
    - USER2_HEIGHT=95        # Height (in cm) of the user
    - USER2_DOB="1990-01-01" # DOB (in yyyy-mm-dd format)

    - USER3_SEX=female
    - USER3_NAME=Missy       # Name of the user
    - USER3_HEIGHT=150       # Height (in cm) of the user
    - USER3_DOB="1990-01-01" # DOB (in yyyy-mm-dd format)
```


### Running script directly on your host system (if your platform is not listed/supported):

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

```sh
*/5 * * * * bash /path/to/wrapper.sh
```

**NOTE**: It's best to schedule via crontab at most, every 5 min (so as not to drain the battery on your scale):
```
*/5 * * * * python3 /path-to-script/Xiaomi_Scale.py
```

## Home-Assistant Setup:
Under the `sensor` block, enter as many blocks as users configured in your environment variables:

```yaml
  - platform: mqtt
    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

  - platform: mqtt
    name: "Example Name BMI"
    state_topic: "miScale/USER_NAME/weight"
    value_template: "{{ value_json['BMI'] }}"
    icon: mdi:human-pregnant

```

![Mi Scale](Screenshots/HA_Lovelace_Card.png)

![Mi Scale](Screenshots/HA_Lovelace_Card_Details.png)

## Acknowledgements: 
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 (https://github.com/ned-kelly) for his help turning a "simple" python script into a fully fledge docker container