version: "1.0.1" name: fetch-job-run-summary description: Fetch a Prow job run summary from Sippy showing all failed tests grouped by SIG with error messages

Fetch Job Run Summary

This skill fetches a summary of a Prow job run from the Sippy API, listing all tests that failed (excluding flakes) along with their error messages.

When to Use This Skill

Use this skill when you need to:

• List all tests that failed in a specific Prow job run
• Understand which components are affected by failures in a job
• Identify dominant error patterns across multiple test failures
• Investigate mass test failure regressions by examining the underlying test failures
• Get a quick overview of a job run's health (pass rate, infrastructure failure, etc.)

Prerequisites

1. Python 3: Version 3.6 or later
2. Network Access: Must be able to reach https://sippy.dptools.openshift.org

Implementation

script_path="plugins/ci/skills/fetch-job-run-summary/fetch_job_run_summary.py"
 
# Text output (AI-readable)
python3 "$script_path" <prow_job_run_id>
 
# JSON output (structured)
python3 "$script_path" <prow_job_run_id> --format json

Parameters

Extracting a Job Run ID

The job run ID can be extracted from a Prow job URL:

https://prow.ci.openshift.org/view/gs/test-platform-results/logs/<job-name>/<job_run_id>

The last path segment is the job run ID.

API Details

Endpoint: https://sippy.dptools.openshift.org/api/job/run/summary

Query Parameter: prow_job_run_id (required)

Response Fields:

Flake Handling

The Sippy API automatically handles flake detection. When a test has both a failure and a pass in the same job run's junit results (the standard flake pattern), it is not included in testFailures. Only true failures — tests that failed without a corresponding pass — appear in the results.

Output

Text Format

The text output is structured for AI consumption with:

1. Job Run Summary: Metadata (job name, release, duration, result, variants)
2. Test Statistics: Total tests, failures, pass rate
3. Failed Tests: Failure count (sorted by count descending)
4. Dominant Error Patterns: Error messages appearing in >5% of failures, with counts
5. Detailed Failures: Each failed test with its error message, grouped by SIG

JSON Format

Structured JSON with the same data:

{
  "success": true,
  "job_name": "periodic-ci-openshift-hypershift-...",
  "job_run_id": "2030845545290928128",
  "release": "4.22",
  "test_count": 3827,
  "failure_count": 400,
  "pass_rate": 89.5,
  "failed_tests": [
    {"test_name": "[sig-cli] example test name", "error": "error message..."}
  ],
  "dominant_error_patterns": [
    {"pattern": "stale GroupVersion discovery: ...", "count": 50, "percentage": 12.5}
  ]
}

Examples

Example 1: Investigate a Mass Test Failure

# Get the summary of a job run that triggered mass test failures
python3 plugins/ci/skills/fetch-job-run-summary/fetch_job_run_summary.py 2030845545290928128

Example 2: Compare Two Runs

# Fetch summaries for a failing and passing run to diff
python3 plugins/ci/skills/fetch-job-run-summary/fetch_job_run_summary.py 2030845545290928128 --format json > failing.json
python3 plugins/ci/skills/fetch-job-run-summary/fetch_job_run_summary.py 2030845542774345728 --format json > passing.json

Notes

• The testFailureCount may be slightly higher than the number of entries in testFailures due to internal deduplication
• Error messages are truncated to 300 characters in text output to keep output manageable
• The dominant error pattern detection strips UUIDs and timestamps for better grouping
• For test-level output analysis (raw test failure output for a specific test across runs), use the fetch-test-runs skill instead

See Also

• Related Skill: fetch-test-runs - Fetch raw outputs for a specific test across multiple job runs
• Related Skill: fetch-regression-details - Fetch Component Readiness regression details
• Related Skill: ci:prow-job-analysis - Comprehensive analysis of test and install failures in a Prow job