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

1. Run all executable tests with ./tests/main.py test.
2. Build all build-only tests with ./tests/main.py build.
3. Clean prior test build, build all build-only tests, run executable tests, and generate code coverage report ./tests/main.py --clean --report build test.
4. 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 test Note 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

• src Source files of the tests
  • test_cases The written tests,
  • test_runners Generated automatically from the files in test_cases.
  • other miscellaneous files and folders
• ref_imgs - Reference images for screenshot compare
• report - Coverage report. Generated if the report flag was passed to ./main.py
• unity Source 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 the ref_imgs folder.
  • If the reference image is not found it will be created automatically from the rendered screen.
  • If the compare fails an <image_name>_err.png file will be created with the rendered content next to the reference image.
• TEST_ASSERT_EQUAL_COLOR(color1, color2) Compare two colors.