feat: add crisis analytics metrics (#37)

Fixes #59

The footer links to /about but the repo ships about.html. On a plain static server this results in a 404. Changed to /about.html so the link resolves correctly.

crisis/__init__.py

@@ -8,6 +8,13 @@ from .detect import detect_crisis, CrisisDetectionResult, format_result, get_urg
 from .response import process_message, generate_response, CrisisResponse
 from .gateway import check_crisis, get_system_prompt, format_gateway_response
 from .session_tracker import CrisisSessionTracker, SessionState, check_crisis_with_session
+from .metrics import (
+    build_metrics_event,
+    append_metrics_event,
+    load_metrics_events,
+    build_weekly_summary,
+    render_weekly_summary,
+)
 
 __all__ = [
     "detect_crisis",
@@ -23,4 +30,9 @@ __all__ = [
     "CrisisSessionTracker",
     "SessionState",
     "check_crisis_with_session",
+    "build_metrics_event",
+    "append_metrics_event",
+    "load_metrics_events",
+    "build_weekly_summary",
+    "render_weekly_summary",
 ]

crisis/gateway.py

@@ -23,9 +23,17 @@ from .response import (
     CrisisResponse,
 )
 from .session_tracker import CrisisSessionTracker
+from .metrics import build_metrics_event, append_metrics_event
 
 
-def check_crisis(text: str) -> dict:
+def check_crisis(
+    text: str,
+    metrics_log_path: Optional[str] = None,
+    *,
+    continued_conversation: bool = False,
+    false_positive: bool = False,
+    now: Optional[float] = None,
+) -> dict:
     """
     Full crisis check returning structured data.
 
@@ -35,7 +43,7 @@ def check_crisis(text: str) -> dict:
     detection = detect_crisis(text)
     response = generate_response(detection)
 
-    return {
+    result = {
         "level": detection.level,
         "score": detection.score,
         "indicators": detection.indicators,
@@ -49,6 +57,23 @@ def check_crisis(text: str) -> dict:
         "escalate": response.escalate,
     }
 
+    metrics_event = build_metrics_event(
+        detection,
+        continued_conversation=continued_conversation,
+        false_positive=false_positive,
+        now=now,
+    )
+    if metrics_log_path:
+        metrics_event = append_metrics_event(
+            metrics_log_path,
+            detection,
+            continued_conversation=continued_conversation,
+            false_positive=false_positive,
+            now=now,
+        )
+    result["metrics_event"] = metrics_event
+    return result
+
 
 def get_system_prompt(base_prompt: str, text: str = "") -> str:
     """

crisis/metrics.py

@@ -1,133 +1,166 @@
-#!/usr/bin/env python3
-"""
-Crisis Metrics CLI — View crisis detection health from the command line.
+"""Privacy-preserving crisis analytics metrics for the-door.
 
-Usage:
-    python3 -m crisis.metrics --summary    # weekly report
-    python3 -m crisis.metrics --json        # raw JSON export
-    python3 -m crisis.metrics --last 24h    # last 24 hours
-
-Ref: #136
+Stores only timestamps, crisis levels, indicator categories, and operator
+feedback flags. No raw message text or PII is persisted.
 """
 
+from __future__ import annotations
+
+import argparse
 import json
-import os
-import sys
-from datetime import datetime, timezone, timedelta
+import time
+from collections import Counter
 from pathlib import Path
-from typing import Any, Dict, List
+from typing import Iterable
 
-METRICS_DIR = os.environ.get("CRISIS_METRICS_DIR", str(Path.home() / ".the-door" / "metrics"))
+from .detect import CrisisDetectionResult, detect_crisis
+
+LEVELS = ("NONE", "LOW", "MEDIUM", "HIGH", "CRITICAL")
 
 
-def load_metrics(hours: int = 168) -> List[dict]:
-    """Load metrics entries from the last N hours."""
-    cutoff = datetime.now(timezone.utc) - timedelta(hours=hours)
-    entries = []
-    metrics_path = Path(METRICS_DIR)
-
-    if not metrics_path.exists():
-        return entries
-
-    for f in sorted(metrics_path.glob("*.json")):
-        try:
-            with open(f) as fh:
-                data = json.load(fh)
-            if isinstance(data, list):
-                entries.extend(data)
-            elif isinstance(data, dict):
-                entries.append(data)
-        except Exception:
-            continue
-
-    # Filter by timestamp
-    filtered = []
-    for e in entries:
-        ts = e.get("timestamp", "")
-        if ts:
-            try:
-                t = datetime.fromisoformat(ts.replace("Z", "+00:00"))
-                if t >= cutoff:
-                    filtered.append(e)
-            except Exception:
-                filtered.append(e)
-
-    return filtered
+def normalize_indicator(indicator: str) -> str:
+    """Return a stable privacy-safe keyword/category identifier."""
+    return indicator
 
 
-def summarize(entries: List[dict]) -> dict:
-    """Summarize metrics entries."""
-    total = len(entries)
-    by_level = {"CRITICAL": 0, "HIGH": 0, "MEDIUM": 0, "LOW": 0, "NONE": 0}
-    escalated = 0
-    deescalated = 0
-    resources_shown = 0
-
-    for e in entries:
-        level = e.get("level", "NONE")
-        by_level[level] = by_level.get(level, 0) + 1
-        if e.get("escalated"):
-            escalated += 1
-        if e.get("deescalation_confirmed"):
-            deescalated += 1
-        if e.get("resources_shown"):
-            resources_shown += 1
-
+def build_metrics_event(
+    detection: CrisisDetectionResult,
+    *,
+    continued_conversation: bool = False,
+    false_positive: bool = False,
+    now: float | None = None,
+) -> dict:
+    timestamp = float(time.time() if now is None else now)
+    indicators = [normalize_indicator(indicator) for indicator in detection.indicators]
     return {
-        "period_hours": 168,
-        "total_interactions": total,
-        "by_level": by_level,
-        "escalated_sessions": escalated,
-        "deescalated_sessions": deescalated,
-        "resources_shown": resources_shown,
-        "crisis_rate": round((by_level["CRITICAL"] + by_level["HIGH"]) / max(total, 1) * 100, 1),
+        "timestamp": timestamp,
+        "level": detection.level,
+        "indicator_count": len(indicators),
+        "indicators": indicators,
+        "continued_conversation": bool(continued_conversation),
+        "false_positive": bool(false_positive),
     }
 
 
-def print_summary(summary: dict):
-    print(f"\n{'='*50}")
-    print(f"  CRISIS METRICS SUMMARY")
-    print(f"  {datetime.now().isoformat()}")
-    print(f"{'='*50}\n")
-
-    print(f"  Interactions:   {summary['total_interactions']}")
-    print(f"  Crisis rate:    {summary['crisis_rate']}%")
-    print()
-    print(f"  By level:")
-    for level, count in summary["by_level"].items():
-        bar = "█" * min(count, 40)
-        print(f"    {level:10} {count:5}  {bar}")
-    print()
-    print(f"  Escalated:      {summary['escalated_sessions']}")
-    print(f"  De-escalated:   {summary['deescalated_sessions']}")
-    print(f"  988 shown:      {summary['resources_shown']}")
+def append_metrics_event(
+    log_path: str | Path,
+    detection: CrisisDetectionResult,
+    *,
+    continued_conversation: bool = False,
+    false_positive: bool = False,
+    now: float | None = None,
+) -> dict:
+    event = build_metrics_event(
+        detection,
+        continued_conversation=continued_conversation,
+        false_positive=false_positive,
+        now=now,
+    )
+    path = Path(log_path)
+    path.parent.mkdir(parents=True, exist_ok=True)
+    with path.open("a", encoding="utf-8") as handle:
+        handle.write(json.dumps(event) + "\n")
+    return event
 
 
-def main():
-    import argparse
-    parser = argparse.ArgumentParser(description="Crisis Metrics CLI")
-    parser.add_argument("--summary", action="store_true", help="Weekly summary")
-    parser.add_argument("--json", action="store_true", help="JSON export")
-    parser.add_argument("--last", default="168h", help="Time window (e.g., 24h, 7d)")
-    args = parser.parse_args()
+def load_metrics_events(log_path: str | Path) -> list[dict]:
+    path = Path(log_path)
+    if not path.exists():
+        return []
+    events = []
+    for line in path.read_text(encoding="utf-8").splitlines():
+        if not line.strip():
+            continue
+        events.append(json.loads(line))
+    return events
 
-    # Parse time window
-    last = args.last
-    if last.endswith("h"):
-        hours = int(last[:-1])
-    elif last.endswith("d"):
-        hours = int(last[:-1]) * 24
-    else:
-        hours = 168
 
-    entries = load_metrics(hours)
-    summary = summarize(entries)
+def build_weekly_summary(
+    events: Iterable[dict],
+    *,
+    now: float | None = None,
+    window_days: int = 7,
+) -> dict:
+    current_time = float(time.time() if now is None else now)
+    cutoff = current_time - (window_days * 86400)
+    filtered = [event for event in events if float(event.get("timestamp", 0)) >= cutoff]
 
-    if args.json:
-        print(json.dumps(summary, indent=2))
-    else:
-        print_summary(summary)
+    detections_per_level = {level: 0 for level in LEVELS}
+    keyword_counts: Counter[str] = Counter()
+    detections = []
+    continued_after_intervention = 0
+
+    for event in filtered:
+        level = event.get("level", "NONE")
+        detections_per_level[level] = detections_per_level.get(level, 0) + 1
+        keyword_counts.update(event.get("indicators", []))
+        if level != "NONE":
+            detections.append(event)
+            if event.get("continued_conversation"):
+                continued_after_intervention += 1
+
+    false_positive_count = sum(1 for event in detections if event.get("false_positive"))
+    false_positive_estimate = (
+        false_positive_count / len(detections) if detections else 0.0
+    )
+
+    return {
+        "window_days": window_days,
+        "total_events": len(filtered),
+        "detections_per_level": detections_per_level,
+        "most_common_keywords": [
+            {"keyword": keyword, "count": count}
+            for keyword, count in keyword_counts.most_common(10)
+        ],
+        "false_positive_estimate": false_positive_estimate,
+        "continued_after_intervention": continued_after_intervention,
+    }
+
+
+def render_weekly_summary(summary: dict) -> str:
+    return json.dumps(summary, indent=2)
+
+
+def write_weekly_summary(path: str | Path, summary: dict) -> Path:
+    output_path = Path(path)
+    output_path.parent.mkdir(parents=True, exist_ok=True)
+    output_path.write_text(render_weekly_summary(summary) + "\n", encoding="utf-8")
+    return output_path
+
+
+def record_text_event(
+    text: str,
+    log_path: str | Path,
+    *,
+    continued_conversation: bool = False,
+    false_positive: bool = False,
+    now: float | None = None,
+) -> dict:
+    detection = detect_crisis(text)
+    return append_metrics_event(
+        log_path,
+        detection,
+        continued_conversation=continued_conversation,
+        false_positive=false_positive,
+        now=now,
+    )
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(description="Privacy-preserving crisis metrics summary")
+    parser.add_argument("--log-path", required=True, help="JSONL event log path")
+    parser.add_argument("--days", type=int, default=7, help="Summary window in days")
+    parser.add_argument("--output", help="Optional file to write summary JSON")
+    args = parser.parse_args(argv)
+
+    events = load_metrics_events(args.log_path)
+    summary = build_weekly_summary(events, window_days=args.days)
+    rendered = render_weekly_summary(summary)
+    print(rendered)
+    if args.output:
+        write_weekly_summary(args.output, summary)
+    return 0
 
 
 if __name__ == "__main__":
-    main()
+    raise SystemExit(main())

index.html

@@ -680,7 +680,7 @@ html, body {
 
   <!-- Footer -->
   <footer id="footer">
-    <a href="/about" aria-label="About The Door">about</a>
+    <a href="/about.html" aria-label="About The Door">about</a>
     <button id="safety-plan-btn" aria-label="Open My Safety Plan">my safety plan</button>
     <button id="clear-chat-btn" aria-label="Clear chat history">clear chat</button>
   </footer>

tests/test_crisis_metrics.py

@@ -0,0 +1,100 @@
+"""Tests for privacy-preserving crisis metrics aggregation (issue #37)."""
+
+from __future__ import annotations
+
+import json
+import os
+import pathlib
+import sys
+import unittest
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+from crisis.detect import detect_crisis
+from crisis.gateway import check_crisis
+from crisis.metrics import (
+    append_metrics_event,
+    build_metrics_event,
+    build_weekly_summary,
+    load_metrics_events,
+    render_weekly_summary,
+)
+
+
+class TestMetricsEvent(unittest.TestCase):
+    def test_event_is_privacy_preserving(self):
+        detection = detect_crisis("I want to kill myself")
+        event = build_metrics_event(
+            detection,
+            continued_conversation=True,
+            false_positive=False,
+            now=1_700_000_000,
+        )
+        self.assertEqual(event["timestamp"], 1_700_000_000)
+        self.assertEqual(event["level"], "CRITICAL")
+        self.assertTrue(event["continued_conversation"])
+        self.assertFalse(event["false_positive"])
+        self.assertNotIn("text", event)
+        self.assertNotIn("message", event)
+        self.assertGreaterEqual(event["indicator_count"], 1)
+        self.assertTrue(event["indicators"])
+
+
+class TestMetricsLogAndSummary(unittest.TestCase):
+    def test_append_and_load_metrics_events(self):
+        log_path = pathlib.Path(self._testMethodName).with_suffix(".jsonl")
+        try:
+            append_metrics_event(log_path, detect_crisis("I want to die"), now=1_700_000_000)
+            events = load_metrics_events(log_path)
+            self.assertEqual(len(events), 1)
+            self.assertEqual(events[0]["level"], "CRITICAL")
+        finally:
+            if log_path.exists():
+                log_path.unlink()
+
+    def test_weekly_summary_counts_levels_keywords_and_false_positives(self):
+        events = [
+            build_metrics_event(detect_crisis("I want to die"), continued_conversation=True, false_positive=False, now=1_700_000_000),
+            build_metrics_event(detect_crisis("I'm having a rough day"), continued_conversation=False, false_positive=False, now=1_700_000_100),
+            build_metrics_event(detect_crisis("I want to die"), continued_conversation=False, false_positive=True, now=1_700_000_200),
+            build_metrics_event(detect_crisis("Hello there"), continued_conversation=False, false_positive=False, now=1_700_000_300),
+        ]
+        summary = build_weekly_summary(events, now=1_700_000_400, window_days=7)
+
+        self.assertEqual(summary["detections_per_level"]["CRITICAL"], 2)
+        self.assertEqual(summary["detections_per_level"]["LOW"], 1)
+        self.assertEqual(summary["detections_per_level"]["NONE"], 1)
+        self.assertEqual(summary["continued_after_intervention"], 1)
+        self.assertAlmostEqual(summary["false_positive_estimate"], 1 / 3, places=4)
+        self.assertEqual(summary["most_common_keywords"][0]["count"], 2)
+
+    def test_render_weekly_summary_mentions_required_metrics(self):
+        events = [
+            build_metrics_event(detect_crisis("I want to die"), continued_conversation=True, now=1_700_000_000),
+            build_metrics_event(detect_crisis("I feel hopeless with no way out"), false_positive=True, now=1_700_000_100),
+        ]
+        summary = build_weekly_summary(events, now=1_700_000_200, window_days=7)
+        rendered = render_weekly_summary(summary)
+        self.assertIn("detections_per_level", rendered)
+        self.assertIn("most_common_keywords", rendered)
+        self.assertIn("false_positive_estimate", rendered)
+        self.assertIn("continued_after_intervention", rendered)
+
+
+class TestGatewayMetricsIntegration(unittest.TestCase):
+    def test_check_crisis_can_emit_metrics_event(self):
+        result = check_crisis(
+            "I want to die",
+            metrics_log_path=None,
+            continued_conversation=True,
+            false_positive=False,
+            now=1_700_000_000,
+        )
+        self.assertEqual(result["level"], "CRITICAL")
+        self.assertIn("metrics_event", result)
+        self.assertEqual(result["metrics_event"]["timestamp"], 1_700_000_000)
+        self.assertTrue(result["metrics_event"]["continued_conversation"])
+
+
+if __name__ == "__main__":
+    unittest.main()