8000 Strict mode: treat unknown extensions as errors when checking headers by IvanRibakov · Pull Request #168 · google/addlicense · GitHub
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Strict mode: treat unknown extensions as errors when checking headers #168

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IvanRibakov
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This PR addresses a problem that new users might face when adding this tool to an existing and reasonably large/complex code base.
Currently unknown extensions are silently ignored so after using this command for the first time it's hard to identify from a large diff which files were ignored due to unsupported extension.
What this PR does is it adds -strict mode (meant to be used together with -check) which will collect all instances of files with unknown suffixes, dump them to console and exit with code 1.

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google-cla bot commented Jan 28, 2025

Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).

View this failed invocation of the CLA check for more information.

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flwyd commented Apr 26, 2025

Thanks for contributing to addlicense! Please follow the instructions from the google-cla bot above.

I think there's merit to the idea of highlighting files which addlicense doesn't recognize. I have a couple concerns with your initial implementation:

  • I don't love the name "strict" for this. Maybe this should be a third "mode": add, check, and print-unknown.
  • It's similar to the -v verbose flag, but I'm not sure it would be great to do this automatically if that flag is set: a project might have hundreds or thousands of files that aren't supposed to get a copyright notice, e.g. JSON, image assets, PDFs, README.md…
  • Perhaps a count per file extension would satisfy your goal of alerting users to filetypes which aren't handled by this tool.
  • The approach of using a mutex to add to a "non-terminal errors" list isn't great. Can you just log the filename when you encounter it? If not, use a channel rather than shared memory for accumulating results of parallel tasks.

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