55 lines
2.6 KiB
Markdown
55 lines
2.6 KiB
Markdown
# Gauging changes
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A lot of the time, your change will affect formatting and/or performance. Quantifying
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these changes is hard, so we have tooling to help make it easier.
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It's recommended you evaluate the quantifiable changes your _Black_ formatting
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modification causes before submitting a PR. Think about if the change seems disruptive
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enough to cause frustration to projects that are already "black formatted".
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## diff-shades
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diff-shades is a tool that runs _Black_ across a list of Git cloneable OSS projects
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recording the results. The main highlight feature of diff-shades is being able to
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compare two revisions of _Black_. This is incredibly useful as it allows us to see what
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exact changes will occur, say merging a certain PR.
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For more information, please see the [diff-shades documentation][diff-shades].
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### CI integration
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diff-shades is also the tool behind the "diff-shades results comparing ..." /
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"diff-shades reports zero changes ..." comments on PRs. The project has a GitHub Actions
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workflow which runs diff-shades twice against two revisions of _Black_ according to
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these rules:
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| | Baseline revision | Target revision |
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| --------------------- | ----------------------- | ---------------------------- |
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| On PRs | latest commit on `main` | PR commit with `main` merged |
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| On pushes (main only) | latest PyPI version | the pushed commit |
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Once finished, a PR comment will be posted embedding a summary of the changes and links
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to further information. If there's a pre-existing diff-shades comment, it'll be updated
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instead the next time the workflow is triggered on the same PR.
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The workflow uploads 3-4 artifacts upon completion: the two generated analyses (they
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have the .json file extension), `diff.html`, and `.pr-comment.json` if triggered by a
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PR. The last one is downloaded by the `diff-shades-comment` workflow and shouldn't be
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downloaded locally. `diff.html` comes in handy for push-based or manually triggered
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runs. And the analyses exist just in case you want to do further analysis using the
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collected data locally.
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Note that the workflow will only fail intentionally if while analyzing a file failed to
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format. Otherwise a failure indicates a bug in the workflow.
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```{tip}
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Maintainers with write access or higher can trigger the workflow manually from the
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Actions tab using the `workflow_dispatch` event. Simply select "diff-shades"
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from the workflows list on the left, press "Run workflow", and fill in which revisions
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and command line arguments to use.
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Once finished, check the logs or download the artifacts for local use.
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```
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[diff-shades]: https://github.com/ichard26/diff-shades#readme
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