In a previous step “From Error Detection to a Solution Blueprint: AI-Guided wxPython Troubleshooting”, the focus was on error detection and generation of roadmap to fix them. AI tool (such as Claude AI) analyzed results of execution of wxPython code headless unit test, detected errors, and suggested fixes like replacing incorrect wxICON_INFORMATION references. The current script takes that analysis one step further, automating the implementation of those suggestions and tracking the applied changes.
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By leveraging Python’s re, difflib, and other libraries, this solution allows for precise modifications and visual feedback, streamlining the code editing process.
Prerequisites
Python 3.x
rich library for console output
difflib for generating diffs
Basic understanding of regular expressions (regex)
Script Overview
This Python script:
Automates search-and-replace operations on code files.
Tracks changes and displays differences between original and edited files.
Provides detailed console feedback on successful or failed edits.
