Python client for IOLite's remote API.

The client has basic functionality such as the authentication layer, some basic command models, and a client to change the heating intervals are available.

Build by reverse engineering the Deutsche Wohnen MIA Android App and subsequently their remote API.

Read the following short post on how that was achieved.

Used in making the IOLite Custom Component for Home Assistant.

• Python 3.7+
• Poetry

Open your Deutsche Wohnen tablet and begin pairing device process. Scan the QR code with your QR-Scanner and instead of opening the QR code in your browser, copy it's content. You'll get the following payload:

{
  "webApp": "/ui/",
  "code": "<redacted>",
  "basicAuth": "<redacted>"
}

• basicAuth contains base64 encoded HTTP basic username and password. Decode this to get the : separated user:pass.
• code is the pairing code

You can decode the credentials using the scripts/get_credentials.py script. e.g.

 python scripts/get_credentials.py '{"webApp":"/ui/","code":"<redacted>","basicAuth":"<redacted>"}'

• Init your virtualenv environment (poetry install)
• Copy .env.example to .env
• Decode credentials (poetry run python scripts/get_credentials.py <basic-auth-value>)
• Add your credentials to .env following the above process

The pre-commit framework is used enforce some linting and style compliance on CI.

To get the same behaviour locally you can run pre-commit install within your activated venv.

Alternatively to run manually you can run pre-commit run -a.

Run poetry run python scripts/example.py and copy the URL to your browser of choice.

You will need the HTTP basic credentials you defined earlier within the .env file.

Be sure to run poetry install -E dev to get the required dependencies for this.

A jupyter notebook showcasing the heating interval scheduler can be found in notebooks/Heating Scheduler.ipynb. To access the notebook install jupyter notebook or jupyter lab into the virtual environment and run the notebook:

poetry shell
pip install notebook
jupyter notebook

If running the notebook gives you a ModuleNotFoundError, you may fix this issue by changing the notebook's kernel (following this StackOverflow post):

poetry shell
python -m ipykernel install --user --name=`basename $VIRTUAL_ENV`

Then switch the kernel in the notebook's top menu under: Kernel > Change Kernel.

MIT