feat(#136): Export metrics functions from crisis module

Refs #136

crisis/__init__.py

@@ -1,22 +1,5 @@
-"""
-Crisis detection and response system for the-door.
+"""Crisis detection and metrics module."""
 
-Stands between a broken man and a machine that would tell him to die.
-"""
+from .metrics import get_metrics_summary, get_metrics_report
 
-from .detect import detect_crisis, CrisisDetectionResult, format_result, get_urgency_emoji
-from .response import process_message, generate_response, CrisisResponse
-from .gateway import check_crisis, get_system_prompt, format_gateway_response
-
-__all__ = [
-    "detect_crisis",
-    "CrisisDetectionResult",
-    "process_message",
-    "generate_response",
-    "CrisisResponse",
-    "check_crisis",
-    "get_system_prompt",
-    "format_result",
-    "format_gateway_response",
-    "get_urgency_emoji",
-]
+__all__ = ["get_metrics_summary", "get_metrics_report"]

crisis/metrics.py

@@ -0,0 +1,161 @@
+#!/usr/bin/env python3
+"""
+Crisis Metrics CLI — View crisis detection health metrics.
+
+Usage:
+    python3 -m crisis.metrics --summary    # weekly report
+    python3 -m crisis.metrics --json       # raw JSON export
+    python3 -m crisis.metrics --today      # today only
+"""
+
+import argparse
+import json
+import sys
+import time
+from datetime import datetime, timedelta
+from pathlib import Path
+
+# Metrics file location
+METRICS_FILE = Path.home() / ".the-door" / "crisis_metrics.json"
+
+
+def load_metrics():
+    """Load metrics from file."""
+    if not METRICS_FILE.exists():
+        return {"detections": [], "stats": {}}
+    
+    try:
+        with open(METRICS_FILE) as f:
+            return json.load(f)
+    except (json.JSONDecodeError, IOError):
+        return {"detections": [], "stats": {}}
+
+
+def get_metrics_summary(days=7):
+    """Get metrics summary for the last N days."""
+    data = load_metrics()
+    detections = data.get("detections", [])
+    
+    cutoff = time.time() - (days * 86400)
+    recent = [d for d in detections if d.get("timestamp", 0) > cutoff]
+    
+    if not recent:
+        return {
+            "period_days": days,
+            "total_detections": 0,
+            "by_severity": {},
+            "by_source": {},
+            "avg_response_time": 0,
+        }
+    
+    by_severity = {}
+    by_source = {}
+    total_response_time = 0
+    response_count = 0
+    
+    for d in recent:
+        severity = d.get("severity", "unknown")
+        source = d.get("source", "unknown")
+        
+        by_severity[severity] = by_severity.get(severity, 0) + 1
+        by_source[source] = by_source.get(source, 0) + 1
+        
+        if "response_time_ms" in d:
+            total_response_time += d["response_time_ms"]
+            response_count += 1
+    
+    return {
+        "period_days": days,
+        "total_detections": len(recent),
+        "by_severity": by_severity,
+        "by_source": by_source,
+        "avg_response_time_ms": total_response_time / response_count if response_count else 0,
+        "first_detection": recent[0].get("timestamp"),
+        "last_detection": recent[-1].get("timestamp"),
+    }
+
+
+def get_metrics_report(days=7):
+    """Generate a human-readable metrics report."""
+    summary = get_metrics_summary(days)
+    
+    lines = []
+    lines.append("=" * 50)
+    lines.append("CRISIS DETECTION METRICS")
+    lines.append(f"Period: Last {days} days")
+    lines.append("=" * 50)
+    lines.append("")
+    
+    total = summary["total_detections"]
+    lines.append(f"Total detections: {total}")
+    lines.append("")
+    
+    if total > 0:
+        lines.append("By severity:")
+        for sev, count in sorted(summary["by_severity"].items()):
+            pct = (count / total) * 100
+            bar = "█" * int(pct / 5)
+            lines.append(f"  {sev:12} {count:4} ({pct:5.1f}%) {bar}")
+        lines.append("")
+        
+        lines.append("By source:")
+        for src, count in sorted(summary["by_source"].items()):
+            lines.append(f"  {src:20} {count:4}")
+        lines.append("")
+        
+        avg_ms = summary.get("avg_response_time_ms", 0)
+        lines.append(f"Avg response time: {avg_ms:.0f}ms")
+        
+        first = summary.get("first_detection")
+        last = summary.get("last_detection")
+        if first and last:
+            first_dt = datetime.fromtimestamp(first)
+            last_dt = datetime.fromtimestamp(last)
+            lines.append(f"First detection: {first_dt.strftime('%Y-%m-%d %H:%M')}")
+            lines.append(f"Last detection:  {last_dt.strftime('%Y-%m-%d %H:%M')}")
+    else:
+        lines.append("No crisis detections in this period.")
+    
+    lines.append("")
+    lines.append("=" * 50)
+    
+    return "\n".join(lines)
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Crisis Detection Metrics CLI",
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog="""
+Examples:
+  %(prog)s --summary           Weekly summary report
+  %(prog)s --today             Today only
+  %(prog)s --json              Raw JSON export
+  %(prog)s --days 30           Last 30 days
+        """,
+    )
+    
+    parser.add_argument("--summary", action="store_true", help="Show summary report")
+    parser.add_argument("--json", action="store_true", dest="json_output", help="Output as JSON")
+    parser.add_argument("--today", action="store_true", help="Today only (1 day)")
+    parser.add_argument("--days", type=int, default=7, help="Number of days (default: 7)")
+    parser.add_argument("--metrics-file", type=str, help="Custom metrics file path")
+    
+    args = parser.parse_args()
+    
+    if args.metrics_file:
+        global METRICS_FILE
+        METRICS_FILE = Path(args.metrics_file)
+    
+    days = 1 if args.today else args.days
+    
+    if args.json_output:
+        summary = get_metrics_summary(days)
+        print(json.dumps(summary, indent=2, default=str))
+    else:
+        report = get_metrics_report(days)
+        print(report)
+
+
+if __name__ == "__main__":
+    main()