Adds one `number.adaptive_lighting_intensity_<name>` entity per
configuration, alongside the Sleep Mode / Adapt Brightness / Adapt Color
switches on the same device. It is a 0-100% slider that interpolates the
adaptive result towards the switch's floor:
output = floor_value + (adaptive_value - floor_value) * intensity / 100
100 short-circuits and returns the adaptive value untouched, so it is the
default and existing configurations behave exactly as before. 0 returns
the floor. In between the light stays fully adaptive -- the sun still
moves it at every setting, so it is a scaled curve rather than a frozen
level, which is what distinguishes this from simply scaling the
brightness band.
The floor is set by a new per-switch `intensity_floor` option: the
switch's sleep settings (`sleep_brightness`/`sleep_color_temp`) by
default, or its `min_brightness`/`min_color_temp`.
`transition_until_sleep` forces the sleep floor whatever `intensity_floor`
says. With that option on, the adaptive color temperature after sunset
descends below `min_color_temp` towards `sleep_color_temp`, so a
`min_color_temp` floor would sit above the adaptive value and turning the
dial down would make the light cooler.
Documented in the README's features and a new Intensity section, and on
the docs site as advanced/intensity.md.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
|
||
|---|---|---|
| .. | ||
| __init__.py | ||
| conftest.py | ||
| README.md | ||
| test_adaptation_utils.py | ||
| test_automation_examples.py | ||
| test_color_and_brightness.py | ||
| test_config_flow.py | ||
| test_diagnostics.py | ||
| test_hass_utils.py | ||
| test_init.py | ||
| test_intensity.py | ||
| test_switch.py | ||
Developer notes for the tests directory
To run the tests, check out the CI configuration to see how they are executed in the CI pipeline. Alternatively, you can use the provided Docker image to run the tests locally or run them with VS Code directly in the dev container.
Coverage reports
Open a pytest workflow run in GitHub Actions to see line and branch coverage in each job's summary. Download its coverage-<Home Assistant version>-py<Python version> artifact for the XML and JSON reports and the browsable HTML report. After extracting it, open htmlcov/index.html to inspect missing lines and branches. Supported stable Home Assistant versions require at least 89% line coverage and 80% branch coverage. The dev job reports coverage without enforcing these floors.
Coverage measures executed code, not whether assertions would catch a bug. Add tests for observable behavior: emitted light commands, final states, manual-control events, and timer expiry. The integration suite runs inside Home Assistant with simulated lights; it does not establish physical-device behavior. It also does not execute every documentation generator included in the package's coverage total.
The tests in test_automation_examples.py load YAML directly from README.md and execute it through Home Assistant's automation and script engines. Edit the README source when changing those examples, then run ./scripts/update-generated-content to update the documentation pages.
Prerequisites
Before running tests with Docker, you need a local Home Assistant core checkout with symlinks:
# Clone HA core (one-time setup)
git clone --depth 1 https://github.com/home-assistant/core.git core
# Setup symlinks (one-time setup)
./scripts/setup-symlinks
Running tests with Docker
Navigate to the adaptive-lighting repo folder and execute the following command.
Important: Mount the entire repo (-v $(pwd):/app), not individual directories, or the symlinks will break.
Linux / MacOS / Windows PowerShell:
docker run -v ${PWD}:/app basnijholt/adaptive-lighting:latest
- In windows command prompt, the command is:
docker run -v %cd%:/app basnijholt/adaptive-lighting:latest
This command will download the Docker image from the adaptive-lighting Docker Hub repo and run the tests.
If you prefer to build the image yourself, use the following command:
docker build -t basnijholt/adaptive-lighting:latest --no-cache --progress=plain .
This might be necessary if the image on Docker Hub is outdated or if the test_dependencies.py file is updated.
Passing arguments to pytest
You can pass arguments to pytest by appending them to the command:
For example, to run the tests with a custom log format, use the following command (this also gets rid of the captured stderr output):
docker run -v $(pwd):/app basnijholt/adaptive-lighting:latest --show-capture=log --log-format="%(asctime)s %(levelname)-8s %(name)s:%(filename)s:%(lineno)s %(message)s" --log-date-format="%H:%M:%S" tests/components/adaptive_lighting/