LG ThinQ Devices integration for HomeAssistant

A Homeassistant custom component to monitor LG Washer, Dryer, DishWasher and Refrigerators using ThinQ API based on WideQ project.

Important Version note: From version 0.3.x component name changed from smartthinq_washer to smartthinq_sensors If you are upgrading to version 0.3.x from previous version, you must remove component configuration and uninstall component from Home Assistant before upgrade.
DishWasher support start from version 0.4.0 and is under testing. If you have problem rollback to version 0.3.x and wait for new release.

Important: The component will not work if you have logged into the ThinQ application and registered your devices using a social network account (google, facebook or amazon). In order to use the component you need to create a new independent LG account and make sure you log into the ThinQ app and associate your devices with it. If during configuration you receive the message "No SmartThinQ devices found", probably your devices are still associated with the social network account. To solve the problem perform the following step:

• remove your devices from the ThinQ app
• logout from the app and login again with the independent LG account
• reconnect the devices in the app

Note: some device status may not be correctly detected, this depend on model. I'm working to map all possible status developing the component in a way to allow to configure model option in the simplest possible way and provide update using Pull Requests. I will provide a guide on how update this information.

Installation

You can install this component in two ways: via HACS (as custom repository for the moment) or manually.

Option A: Installing via HACS

If you have HACS, just go in the Integration Tab and search the "SmartThinQ LG Sensors" component to install it.

Option B: Manually installation (custom_component)

1. Clone the git master branch.

2. Unzip/copy the smartthinq_sensors direcotry within the custom_components directory of your homeassistant installation. The custom_components directory resides within your homeassistant configuration directory. Usually, the configuration directory is within your home (~/.homeassistant/). In other words, the configuration directory of homeassistant is where the configuration.yaml file is located. After a correct installation, your configuration directory should look like the following.

   └── ...
   └── configuration.yaml
   └── secrects.yaml
   └── custom_components
       └── smartthinq_sensors
           └── __init__.py
           └── config_flow.py
           └── const.py
           └── ...
   

   Note: if the custom_components directory does not exist, you need to create it.

3. Reboot HomeAssistant

Component configuration

Once the component has been installed, you need to configure it in order to make it work. There are two ways of doing so:

• Using the web interface (Lovelace) [recommended]
• Manually editing the configuration.yaml file

Option A: Configuration using the web UI [recommended]

Simply add a new "integration" and look for "SmartThinQ LGE Sensors" among the proposed ones.

Using UI you have the option to generate a new access token if you don't already have one. Just leave empty the token field and follow setup worflow.

Important: use your country and language code: SmartThinQ accounts are associated with a specific locale, so be sure to use the country you originally created your account with.

Option B: Configuration via editing configuration.yaml (only possible using APIv1)

Follow these steps only if the previous configuration method did not work for you.

1. Enable the component by editing the configuration.yaml file (within the config directory as well). Edit it by adding the following lines:

   smartthinq_sensors:
     token: my_smartthinq_token
     region: my_smartthinq_region (e.g. US)
     language: my_smartthinq_language (e.g. en-US)
   

2. Reboot HomeAssistant

Be nice!

If you like the component, why don't you support me by buying me a coffe? It would certainly motivate me to further improve this work.

Credits

This component is developed by Ollo69 based on WideQ API.
Original WideQ API was developed by Adrian Sampson under license MIT.