gh-debug

Pull GitHub Actions logs for a workflow run, parse them to identify errors, and provide a clear diagnostic report.

Arguments: $ARGUMENTS

Primary Method (Recommended): Use the Python script for efficient log analysis:

uv run ci/tools/gh_debug.py $ARGUMENTS

This script:

• Streams logs instead of downloading full files (avoids 55MB+ downloads)
• Filters for errors in real-time
• Stops after finding 10 errors (configurable with --max-errors)
• Shows context around each error (5 lines before/after, configurable with --context)

Fallback Method: If the Python script fails, use manual analysis:

Smart Log Fetching Strategy

1. Identify failed jobs/steps using gh run view <run-id> --log-failed
2. For each failed step, use targeted log extraction with grep filters
3. Parse logs for: compilation errors, test failures, runtime issues
4. Extract error context: ~10 lines before and after each error

Input Handling

Handle:

• Run IDs (e.g., "18391541037")
• Workflow URLs
• Most recent failed run if no argument provided (use gh run list --status failure --limit 1)

Output Format

Provide:

• Workflow name and run number
• Job(s) that failed with step names
• Specific error messages with surrounding context (max ~50 lines per error)
• File paths and line numbers where applicable
• Suggested next steps or potential fixes