Open
Description
Background
The cr_checker tool currently lacks unit tests, which compromises its reliability and increases the risk of regressions during updates. Unit testing is essential for validating functionality, identifying issues early, and maintaining a stable tool. Additionally, integrating pytest with the Bazel build system aligns with our existing workflows and ensures consistent test execution across environments.
Objectives
- Write comprehensive unit tests for cr_checker using pytest to achieve robust coverage.
- Integrate pytest into the Bazel build system to standardize testing and enable automation in CI/CD workflows.
Acceptance Criteria
- A suite of unit tests is implemented for cr_checker, covering critical functionality and edge cases.
- pytest is successfully integrated with Bazel, allowing tests to run seamlessly through Bazel commands.
- Tests are runnable both locally and in the CI pipeline without additional manual steps.
- Documentation is provided for running and maintaining the tests.
Proposed Steps
-
Analyze Tool Functionality:
- Review the codebase of cr_checker to identify the key components and their functionalities.
- Outline critical paths and edge cases that require testing.
-
Develop Unit Tests:
- Use pytest to write tests for individual functions and modules.
- Ensure high test coverage by addressing all major use cases and failure scenarios.
-
Integrate Pytest with Bazel:
- Create or modify Bazel rules to include pytest-based testing.
- Ensure pytest is correctly configured to work within the Bazel environment.
-
Verify and Validate:
- Run tests locally via Bazel to confirm they execute successfully.
- Integrate the tests into the CI pipeline and verify the workflow.
-
Document the Process:
- Provide clear instructions for running the tests with Bazel.
- Include guidelines for writing and adding new tests in the future.
Resources
Metadata
Metadata
Assignees
Labels
Type
Projects
Status
Todo
Status
Backlog