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fix directory parsing in data_pipeline #393
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Summary of ChangesHello @stefpi, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request addresses a critical bug in the Highlights
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Code Review
This pull request correctly identifies and fixes a bug in how directory paths are parsed, where strip('./') was too aggressive and could incorrectly filter paths. However, the proposed solution using split('./')[1] is not robust and can lead to an IndexError if a directory name doesn't contain './', which is a likely scenario for user-provided directories. I've left comments with suggestions for a safer implementation that avoids this new issue while still fixing the original problem.
In data_pipeline function
should_process_filedirectory names inincluded_dirsandexcluded_dirsuses.strip(“./“). Thestripfunction in python treats “./“ as[“.”, “/“]and removes each occurrence of either character from the start or end of the string until neither are found.This means that a string such as "./.git/" will become “git” when
.strip(“./“)is applied. This leads to no documents being processed from a directory if “git” is present anywhere in the file path. Some people like me use “~/git/” to store their git projects, which means all my documents were being excluded although they aren’t in the “.git” directory.I changed the parsing to use
.removeprefix("./").removesuffix("/")which means any folder of the structure “././“ will become “.”.