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pytestfailuretracker 0.2.3
pytest-failure-tracker
A pytest plugin for tracking test failures over multiple test runs, making it easier to identify flaky tests and frequently failing tests.
Installation
You can install pytest-failure-tracker via pip:
pip install pytest-failure-tracker
Usage
To use the plugin, simply run pytest with the --track-failures option:
pytest --track-failures
This will enable failure tracking for your test suite.
Features
Failure Tracking
The plugin tracks the following information for each test:
Number of passes
Number of failures
Number of skips
Timestamp of the last failure
Traceback of the last failure
This data is stored in a JSON file (test_results.json) in your project directory.
Summary Report
After each test run with --track-failures enabled, the plugin will display a summary report in the terminal. This report includes:
Total number of runs for each test
Number of passes, failures, and skips
Failure rate
Timestamp of the last failure
Traceback of the last failure
Persistent Storage
Test results are stored persistently, allowing you to track failures across multiple test runs and even across different sessions.
Example Output
============================= Test Failure Tracking Summary =============================
test_module.py::test_example:
Total runs: 10
Passes: 8
Failures: 2
Skips: 0
Failure rate: 20.00%
Last failure: 2024-07-16T14:30:00.123456
Last failure traceback:
File "test_module.py", line 15, in test_example
assert False, "This test intentionally fails sometimes"
AssertionError: This test intentionally fails sometimes
test_module.py::test_another_example:
Total runs: 10
Passes: 10
Failures: 0
Skips: 0
Failure rate: 0.00%
Configuration
Currently, the plugin doesn't require any additional configuration beyond the --track-failures command-line option.
Limitations and Considerations
The plugin treats parameterized tests as separate tests.
There is currently no built-in way to reset or clear the tracking data. You can manually delete the test_results.json file to reset.
The plugin doesn't currently provide trend analysis over time.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
MIT © Krystian Safjan.
TODO: expand documentation with:
More detailed examples of how to interpret the results
Any known issues or edge cases
A section on how to configure the plugin if you add any configuration options in the future
A more detailed contribution guide if you want to encourage open-source contributions
A changelog to track versions and updates
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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