Analyzes server log files to detect problems, extract performance metrics, and provide troubleshooting insights. Triggers: "analyze logs", "log analysis", "c...
--- name: server-log-analyzer description: | Analyzes server log files to detect problems, extract performance metrics, and provide troubleshooting insights. Triggers: "analyze logs", "log analysis", "check errors", "performance analysis", "server logs", "traceback", "runtime error", "exception", "crash", "debug", "日志分析", "查看问题", "性能分析", "Python异常", "错误排查" --- # Server Log Analyzer Analyzes server log files to identify problems, extract performance metrics, and provide actionable insights for troubleshooting. ## Supported Log Formats ``` [YYYY/MM/DD HH:MM:SS] module.path LEVEL line_number: message ``` Example: ``` [2026/04/15 12:08:03] sanhai.flow.linear_data_flow INFO 127: flow_id:2044266474671067136 - Worker completed ``` ## Usage ### Basic Analysis ```bash python scripts/log_analyzer.py /path/to/your/logfile.log ``` ### JSON Output (for automation) ```bash python scripts/log_analyzer.py /path/to/your/logfile.log --json ``` ## Features ### 1. Log Statistics - Counts INFO, WARNING, ERROR, CRITICAL entries - Shows time range and duration - Module-level statistics ### 2. Problem Detection Automatically detects common issues: | Severity | Issue Type | Detection Pattern | |----------|------------|-------------------| | High | Database failures | `[DB] update/insert failed` | | High | Missing components | `has no corrector` | | Medium | Notification failures | `email notification failed` | | Medium | Classification errors | `paper type error` | | Low | ID recognition failures | `invalid student number` | ### 3. Python Exception Tracking Extracts Python traceback information: - Exception type and message - Source file locations (filters out framework code) - Key code location in your project ### 4. Performance Metrics - TPS (Tasks Per Second) - Batch processing time - Worker-level timing ## Output Sections | Section | Content | |---------|---------| | Summary | Log level counts, time range | | Exceptions | Python exceptions (highest priority) | | Performance | TPS, processing time | | Issues | Problems by severity | | Modules | Module call frequency | ## Performance Thresholds | Metric | Normal | Warning | Critical | |--------|--------|---------|----------| | TPS | 50-300 | <20 | <10 | | Batch Time | <2s | >5s | >10s | ## Notes - Large log files (>10MB) may take longer to process - Exception tracking filters out framework/library code - Results are sorted by severity (exceptions first)
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