adaptive-lighting/tests
Corey Peruffo 6d46b82313
fix: use quantization-aware comparison in skip_redundant_commands filter (#1513)
* fix: use quantization-aware comparison in skip_redundant_commands filter

_remove_redundant_attributes() compared target values against light state
with exact equality, but many targets can never round-trip exactly through
a device with coarser resolution:

- brightness: HA's 0-255 scale vs the 0-99 Z-Wave Multilevel Switch scale
  leaves 156 of 255 targets that never converge (e.g. 230 -> 89 -> 229),
- color_temp_kelvin: the kelvin -> mired -> kelvin round trip leaves most
  kelvin targets off by up to ~21 K at 6500 K (e.g. 5500 -> 182 -> 5495).

Such attributes survived the filter and were re-sent every interval
forever, which on larger Z-Wave meshes is enough to jam the controller.

Compare brightness with a tolerance of 2 (the exact worst case of the
0-99 scale) and color temperature in mired space, where devices actually
quantize and where the comparison is exact at every kelvin value. Both
are far below the manual-control detection thresholds
(BRIGHTNESS_CHANGE = 25, COLOR_TEMP_CHANGE = 100), so they cannot mask a
genuine user change.

Fixes #1512

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017P2wLQYGQH6npY5op5CKVD

* fix: tolerate one mired to cover both floor- and round-based conversions

The previous exact mired equality assumed round-based kelvin<->mired
conversion, but HA core's color_temperature_kelvin_to_mired() and
color_temperature_mired_to_kelvin() both use math.floor, under which a
target like 5500 K comes back as 5524 K in a different rounded mired
bucket and would never be filtered. Flooring in the comparison instead
would merely flip the failure onto integrations that round.

Comparing with a tolerance of one mired converges for both conversion
schemes (verified by brute force over 1000-10000 K: zero stuck targets
under either pipeline) and can hide at most ~2 mireds, far below the
~5.5 mired just-noticeable difference for color temperature.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017P2wLQYGQH6npY5op5CKVD

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
Co-authored-by: Bas Nijholt <bas@nijho.lt>
2026-09-06 06:53:06 +00:00
..
__init__.py Copy tests from https://github.com/home-assistant/core/pull/40626 2022-08-28 12:05:31 -07:00
conftest.py Bump to 1.27.0 for fixes in 2025.12 (#1293) 2025-11-27 09:06:41 -08:00
README.md docs: clarify Docker test setup requirements (#1383) 2026-01-11 21:57:52 +01:00
test_adaptation_utils.py fix: use quantization-aware comparison in skip_redundant_commands filter (#1513) 2026-09-06 06:53:06 +00:00
test_color_and_brightness.py fix: replace deprecated get_astral_location with get_astral_observer (#1482) 2026-07-01 23:00:35 -07:00
test_config_flow.py feat: add option to duplicate existing lighting instance (#1329) 2025-12-05 04:15:24 -08:00
test_hass_utils.py Test HA core v2023.6 until v2024.2 (#942) 2024-04-06 10:14:54 +02:00
test_init.py Test HA core v2023.6 until v2024.2 (#942) 2024-04-06 10:14:54 +02:00
test_switch.py fix: don't cancel adaptation when a light group turns on via a member with a reused context (#1483) 2026-07-02 08:08:14 -07:00

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.

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/