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- Introduced a new GitHub Actions workflow for flaky test analysis, allowing users to specify date ranges and parameters for reporting the flakiest tests. - Added a Bash script to download JUnit test report artifacts and perform flaky test detection, enhancing the testing process and providing detailed results. - The workflow includes steps for dependency installation, running the analysis, generating summaries, and uploading results as artifacts.
…fic branch - Added a push trigger for the 'CSPL-3763-add-flay-test-analysis-tool' branch to the flaky test analysis workflow, allowing for automated execution upon code changes. - This change is intended for testing purposes and will be removed before merging.
- Eliminated the push trigger for the 'CSPL-3763-add-flay-test-analysis-tool' branch from the flaky test analysis workflow, streamlining the workflow configuration and preparing for final merge.
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Pull Request Test Coverage Report for Build 22618209907Details
💛 - Coveralls |
…mary - Updated the workflow to iterate over heatmap images and include them in the GitHub step summary as base64-encoded images, improving visibility of test results. - Retained the push trigger for the 'CSPL-3763-add-flay-test-analysis-tool' branch for testing purposes, with plans to remove it before merging.
- Eliminated the code block that processed and displayed heatmap images in the GitHub step summary, streamlining the workflow. - Removed the push trigger for the 'CSPL-3763-add-flay-test-analysis-tool' branch, finalizing the workflow configuration for merging.
kubabuczak
changed the title
- Introduced a new Python script to analyze JUnit XML reports and generate a Markdown summary of test failure statistics, including failure counts and rates. - Updated the flaky test analysis workflow to include a step for generating failure statistics, ensuring comprehensive reporting of test results. - The workflow now triggers on pushes to the 'CSPL-3763-add-flay-test-analysis-tool' branch, facilitating automated analysis during development.
- Introduced a new Python script to customize Matplotlib for generating heatmaps in flaky test analysis, enhancing readability with increased font sizes and wrapped y-axis labels. - Updated the flaky test analysis script to incorporate the new Matplotlib configurations, improving the presentation of test results. - Added a new entry to .gitignore to exclude generated JUnit report directories from version control.
… improvements - Added output variables for start and end dates in the flaky test analysis workflow, improving the clarity of date ranges in job summaries. - Refactored the naming function in the test failure statistics script to improve readability and maintainability. - Updated the artifact upload step to include dynamic naming based on the date range, enhancing the organization of test results.
kasiakoziol
reviewed
Mar 4, 2026
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Please remember to delete this before merge
kasiakoziol
approved these changes
Mar 4, 2026
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Description
flaky-tests-detectionlibrary to score tests by pass/fail flip rate.Testing and Verification
--dry-runto verify artifact listing and date filtering.Related Issues
PR Checklist