aod-run-and-operate

Start the Home Assistant instance for Area Occupancy Detection development by running the 'scripts/develop' command. This initializes the development environment, allowing you to test the integration and configure areas through the config-flow UI.

Enable debug logging for the Area Occupancy Detection integration to troubleshoot issues by configuring detailed logging output. This allows you to monitor the analysis pipeline and identify errors within your Home Assistant environment.

The SQLite database for Home Assistant occupancy detection is accessed locally to interact with stored states and records. You can locate this database to directly query data, manage the recorder sync, and verify the hourly analysis pipeline outputs.

Add new areas to the occupancy detection config-flow UI by navigating to the integration settings within your Home Assistant instance. This process configures the specified areas for monitoring and integrates them into the hourly analysis pipeline.

You can run a Flask simulator locally to test the Home Assistant occupancy detection integration. This allows you to simulate occupancy states and validate the analysis pipeline and recorder sync without needing physical sensors.

You need Python and a configured Home Assistant environment to run and operate the Area Occupancy Detection integration. These prerequisites are required to execute scripts, manage the analysis pipeline, and handle release deployments.