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Signed-off-by: yushuailong1 <yushuailong1@xiaomi.com>
Tests for LVGL
The tests in the folder can be run locally and automatically by GitHub CI.
Running locally
Requirements (Linux)
Install requirements by:
scripts/install-prerequisites.sh
Run test
- Run all executable tests with
./tests/main.py test. - Build all build-only tests with
./tests/main.py build. - Clean prior test build, build all build-only tests,
run executable tests, and generate code coverage
report
./tests/main.py --clean --report build test. - You can re-generate the test images by adding option
--update-image. It relies on scripts/LVGLImage.py, which requires pngquant and pypng. You can run below command firstly and follow instructions in logs to install them../tests/main.py --update-image testNote that different version of pngquant may generate different images. As of now the generated image on CI uses pngquant 2.13.1-1.
For full information on running tests run: ./tests/main.py --help.
Running automatically
GitHub's CI automatically runs these tests on pushes and pull requests to master and releasev8.* branches.
Directory structure
srcSource files of the teststest_casesThe written tests,test_runnersGenerated automatically from the files intest_cases.- other miscellaneous files and folders
ref_imgs- Reference images for screenshot comparereport- Coverage report. Generated if thereportflag was passed to./main.pyunitySource files of the test engine
Add new tests
Create new test file
New test needs to be added into the src/test_cases folder. The name of the files should look like test_<name>.c. The basic skeleton of a test file copy _test_template.c.
Asserts
See the list of asserts here.
There are some custom, LVGL specific asserts:
TEST_ASSERT_EQUAL_SCREENSHOT("image1.png")Render the active screen and compare its content with an image in theref_imgsfolder.- If the reference image is not found it will be created automatically from the rendered screen.
- If the compare fails an
<image_name>_err.pngfile will be created with the rendered content next to the reference image.
TEST_ASSERT_EQUAL_COLOR(color1, color2)Compare two colors.