majiayu000 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
- Identify failed jobs/steps using
gh run view <run-id> --log-failed - For each failed step, use targeted log extraction with grep filters
- Parse logs for: compilation errors, test failures, runtime issues
- 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