Improving File Version Management with GitHub

Challenge: As code (or other documents) evolve, it is too easy to just save another version. Here we assume that is done as xxx_v1.R, xxx_v2.R and so on. GitHub version control enables one to have just one file, xxx.R, and still have the history of all versions.

Use: Be sure you are working in a folder where you want the new package components to live, and that you have set this up as a git repository. Type the following prompt into AI; it will find all files with multiple versions ending in _v[0-9]+.R or v[0-9]+.R.

Prompt: “Run the file versions prompt in the current folder.”

GitHub Version Control Prompt

“Reconstruct Git history for versioned R scripts matching [basename][ _]v[0-9]+.R.

  1. Make sure to do a git pull first.

For each set of files:

  1. Initialize v1: If a v1 file is missing but [basename].R exists, copy [basename].R to create the v1 version. If v1 already exists, overwrite [basename].R with its content to start the history.
  2. Commit Sequence: For each version ($N = 1, 2, 3…$) in order:
    • Overwrite [basename].R with the content of version vN.
    • Commit [basename].R with message vN, using the file’s original creation date as the commit timestamp.
  3. Safety Rules:
    • Ignore singleton files (e.g., source*v2.R).
    • Keep all original versioned files (v1, v2, etc.) intact; do not delete them.”

Key Improvements Made

  • Logical Grouping: Instead of listing steps as separate actions, it frames them as a single “Workflow for each set,” which is easier for an AI to parse.

  • Clearer Conditional: The “v1” logic is simplified into a “normalization” step that ensures the git history starts correctly regardless of whether the first version was named with a suffix or not.
  • Punchy Directives: Uses bold headers (Initialize, Commit Sequence, Safety Rules) to make the constraints stand out.
  • Timestamp Clarity: Explicitly mentions using the creation date as the “commit timestamp,” which is the specific instruction needed for Git-based history reconstruction.

Would you like me to help you execute this workflow on your current files? I can see you have several matching sets like MafA_SNP_DEG_Integration and Shiny app prototype for Mafa SNP DEG analysis.

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