📊 Log Analysis & Debugging Agent

#!/usr/bin/env python3
"""
Log Analysis & Debugging Agent

This agent analyzes application logs to identify patterns, errors,
performance issues, and anomalies. It correlates logs across services
and suggests root causes and prevention measures.

Usage:
    python 09_log_analysis.py /path/to/app.log
    python 09_log_analysis.py /path/to/error_logs
"""

import sys
from anthropic import Anthropic

def main():
    if len(sys.argv) < 2:
        print("Usage: python 09_log_analysis.py <log_file_path>")
        sys.exit(1)

    target = " ".join(sys.argv[1:])

    client = Anthropic()

    system_prompt = """You are a log analysis expert. Your job is to:
1. Parse and understand log formats
2. Identify error patterns and anomalies
3. Correlate related log entries
4. Find performance degradation
5. Trace requests across services
6. Suggest root causes
7. Recommend monitoring improvements

Provide actionable insights, not just descriptions."""

    task = f"""Analyze the following logs and provide insights:

{target}

Provide:
1. Log format and structure analysis
2. Error frequency and categorization:
   - Error types
   - Frequency per time period
   - Affected components
3. Pattern identification:
   - Recurring error sequences
   - Timing patterns
   - Error cascades
4. Root cause analysis:
   - Primary causes
   - Contributing factors
   - Evidence from logs
5. Performance analysis:
   - Slow requests
   - Resource usage spikes
   - Bottlenecks
6. Incident timeline (if applicable)
7. Recommended fixes with:
   - Code changes
   - Configuration updates
   - Monitoring improvements
8. Prevention strategy for future incidents"""

    print("📊 Starting Log Analysis Agent...\n")
    print("=" * 60)

    try:
        with client.messages.stream(
            model="claude-opus-4-7",
            max_tokens=3000,
            system=system_prompt,
            messages=[{"role": "user", "content": task}],
        ) as stream:
            for text in stream.text_stream:
                print(text, end="", flush=True)

        print("\n" + "=" * 60)
        print("\n✅ Log analysis complete!")

    except Exception as e:
        print(f"\n❌ Error: {e}")
        sys.exit(1)


if __name__ == "__main__":
    main()