Log Analyzer

Parse JSON logs by using the log analyzer to scan structured JSONL entries from your pipeline logs directory. The Skill automatically parses each log entry with timestamp handling in ET timezone, gracefully handles malformed JSON, and formats results into readable Rich tables so you can quickly identify errors, warnings, API issues, and performance bottlenecks across recent runs.

Yes, the log analyzer supports filtering by sport, script name, log level, and time window so you can narrow analysis to specific components or recent time periods. This lets you focus on particular pipeline stages or recent activity without scanning all logs.

Ensure your pipeline logs are stored in structured JSON format in the logs/ directory and use ET timezone for timestamp consistency. The Skill reads logs as read-only, so no special permissions are needed beyond access to the logs directory.

Run the log analyzer on your recent pipeline logs to automatically detect API retries, rate limiting events, and slow operations. The Skill parses these patterns from your JSON logs and surfaces them in formatted tables so you can identify performance bottlenecks and API issues needing attention.

The log analyzer gracefully handles malformed JSON without failing the entire analysis. It continues parsing valid entries and formats readable results, so occasional formatting issues in logs won't block your pipeline monitoring.

Yes, scan your pipeline logs with the log analyzer to verify script execution status, identify errors and warnings across all components, and confirm successful runs. This gives you a clear overview of whether all pipeline stages completed without issues.