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Data-Simply / pyretailscience

pyretailscience - A data analysis and science toolkit for detail data
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chore: adding codecov app coverage support #60

Closed mvanwyk closed 4 months ago

mvanwyk commented 4 months ago

PR Type

enhancement, configuration changes

Description

Changes walkthrough 📝

Relevant files
Configuration changes
test.yml
Add Codecov support in GitHub Actions workflow                     
.github/workflows/test.yml
  • Added step to upload coverage reports to Codecov.
  • Utilized codecov/codecov-action@v4.0.1.
  • Included token for authentication.
    		•  +4/-0     
    Enhancement
    .pre-commit-config.yaml
    Update pre-commit pytest hook for coverage reporting         
    .pre-commit-config.yaml
  • Modified pytest hook to include coverage reporting.
  • Added --cov=pyretailscience and --cov-report=xml options.
    		•  +1/-1     

    💡 PR-Agent usage: Comment /help on the PR to get a list of all available PR-Agent tools and their descriptions

    Summary by CodeRabbit

    coderabbitai[bot] commented 4 months ago

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    Commits Files that changed from the base of the PR and between 4e7ea6efaa9f480aa221063d1d77c68cd18847ac and 21539221386296f9de809e08d10f996b8c394119.

    Walkthrough

    The changes introduce automated coverage reporting for the pyretailscience module. A step was added to the GitHub Actions workflow to upload coverage reports to Codecov. Additionally, the pre-commit configuration was updated to ensure coverage reporting is included when running tests with pytest.

    Changes

    Files/Paths Summary
    .github/workflows/test.yml Added a step to upload coverage reports to Codecov using codecov/codecov-action@v4.0.1
    .pre-commit-config.yaml Updated pytest command to include coverage reporting for pyretailscience module in XML format

    Poem

    In the code's garden, changes bloom bright,
    Coverage reports to ensure all's right.
    Codecov now joins the nightly dance,
    Enhancing our tests, we seize the chance.
    🐰✨ Lines of code, in harmony they sing,
    Quality assured by each testing wing.

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    codiumai-pr-agent-pro[bot] commented 4 months ago

    PR Reviewer Guide 🔍

    ⏱️ Estimated effort to review: 2 🔵🔵⚪⚪⚪
    🧪 No relevant tests
    🔒 Security concerns

    Sensitive information exposure:
    The PR includes a direct use of `secrets.CODECOV_TOKEN` in the GitHub Actions workflow file, which could potentially expose sensitive information if not handled securely.
    ⚡ Key issues to review

    Sensitive Information
    The use of `secrets.CODECOV_TOKEN` directly in the workflow file might expose sensitive information. Consider using environment variables or other secure methods to handle secrets.
    codiumai-pr-agent-pro[bot] commented 4 months ago

    PR Code Suggestions ✨

    CategorySuggestion                                                                                                                                    Score
    Enhancement
    ✅ Add a flag to fail the CI if there is an error in the coverage report upload ___ **Consider specifying a fail_ci_if_error flag to the Codecov upload step to ensure
    that the CI pipeline fails if there is an error during the upload process. This can
    help in identifying issues with coverage reporting early in the development process.** [.github/workflows/test.yml [31-33]](https://github.com/Data-Simply/pyretailscience/pull/60/files#diff-faff1af3d8ff408964a57b2e475f69a6b7c7b71c9978cccc8f471798caac2c88R31-R33) ```diff uses: codecov/codecov-action@v4.0.1 with: token: ${{ secrets.CODECOV_TOKEN }} + fail_ci_if_error: true ``` `[Suggestion has been applied]`
    Suggestion importance[1-10]: 9 Why: This suggestion improves the robustness of the CI pipeline by ensuring that errors in the coverage report upload are caught early, which is crucial for maintaining code quality.
    		9
    ✅ Enhance the coverage reporting by including branch coverage ___ **It's recommended to add --cov-branch to the pytest coverage command to include
    branch coverage, which provides a more comprehensive view of the code coverage by
    including conditional branches.** [.pre-commit-config.yaml [22]](https://github.com/Data-Simply/pyretailscience/pull/60/files#diff-63a9c44a44acf85fea213a857769990937107cf072831e1a26808cfde9d096b9R22-R22) ```diff -entry: pytest --cov=pyretailscience --cov-report=xml tests +entry: pytest --cov=pyretailscience --cov-report=xml --cov-branch tests ``` `[Suggestion has been applied]`
    Suggestion importance[1-10]: 8 Why: Including branch coverage provides a more comprehensive view of the code coverage, which is beneficial for identifying untested conditional branches and improving overall test quality.
    		8
    codecov[bot] commented 4 months ago

    Welcome to Codecov :tada:

    Once you merge this PR into your default branch, you're all set! Codecov will compare coverage reports and display results in all future pull requests.

    :information_source: You can also turn on project coverage checks and project coverage reporting on Pull Request comment

    Thanks for integrating Codecov - We've got you covered :open_umbrella: