feat: add crisis analytics metrics (#37)

Makefile

@@ -12,7 +12,7 @@ VPS := alexanderwhitestone.com
 DOMAIN := alexanderwhitestone.com
 DEPLOY_DIR := deploy
 
-.PHONY: help deploy deploy-bash check ssl push service metrics
+.PHONY: help deploy deploy-bash check ssl push service
 
 help:
 	@echo "The Door — Deployment Commands"
@@ -23,8 +23,6 @@ help:
 	@echo "  make check        Check deployment status"
 	@echo "  make ssl          Setup SSL on VPS"
 	@echo "  make service      Install/restart hermes-gateway service"
-	@echo "  make metrics      View crisis metrics summary"
-	@echo "  make metrics-json Export crisis metrics as JSON"
 	@echo ""
 
 deploy:
@@ -48,9 +46,3 @@ ssl:
 
 service:
 	ssh root@$(VPS) "cd /opt/the-door && bash deploy/deploy.sh --service"
-
-metrics:
-	python3 -m crisis.metrics --summary
-
-metrics-json:
-	python3 -m crisis.metrics --json

crisis/__init__.py

@@ -8,7 +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 CrisisMetrics, AggregateMetrics
+from .metrics import (
+    build_metrics_event,
+    append_metrics_event,
+    load_metrics_events,
+    build_weekly_summary,
+    render_weekly_summary,
+)
 
 __all__ = [
     "detect_crisis",
@@ -24,6 +30,9 @@ __all__ = [
     "CrisisSessionTracker",
     "SessionState",
     "check_crisis_with_session",
-    "CrisisMetrics",
-    "AggregateMetrics",
+    "build_metrics_event",
+    "append_metrics_event",
+    "load_metrics_events",
+    "build_weekly_summary",
+    "render_weekly_summary",
 ]

crisis/bridge.py

@@ -1,19 +0,0 @@
-"""Compatibility bridge for the-door crisis gateway.
-
-Issue #141 describes the shared bridge API as `crisis.bridge`.
-The canonical implementation lives in `crisis.gateway`.  Re-export the public
-entrypoints here so downstream hermes-agent wiring can import the stable name
-without copying logic out of the-door.
-"""
-
-from .gateway import (
-    check_crisis,
-    get_system_prompt,
-    format_gateway_response,
-)
-
-__all__ = [
-    "check_crisis",
-    "get_system_prompt",
-    "format_gateway_response",
-]

crisis/detect.py

@@ -104,9 +104,13 @@ MEDIUM_INDICATORS = [
     r"\blost\s+all\s+hope\b",
     r"\bno\s+tomorrow\b",
     # Contextual versions (from crisis_detector.py legacy)
-    # Keep only medium-only patterns here; stronger overlaps live in HIGH_INDICATORS.
     r"\bfeel(?:s|ing)?\s+(?:so\s+)?worthless\b",
+    r"\bfeel(?:s|ing)?\s+(?:so\s+)?hopeless\b",
+    r"\bfeel(?:s|ing)?\s+trapped\b",
+    r"\bfeel(?:s|ing)?\s+desperate\b",
+    r"\bno\s+future\s+(?:for\s+me|ahead|left)\b",
     r"\bnothing\s+left\s+(?:to\s+(?:live|hope)\s+for|inside)\b",
+    r"\bgive(?:n)?\s*up\s+on\s+myself\b",
 ]
 
 LOW_INDICATORS = [

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

@@ -1,244 +1,166 @@
-"""
-crisis/metrics.py — Aggregate crisis detection metrics.
+"""Privacy-preserving crisis analytics metrics for the-door.
 
-Tracks session-level crisis data for aggregate reporting.
-Privacy-first: stores only aggregate counts, never user content.
-
-Usage:
-    from crisis.metrics import CrisisMetrics
-    
-    metrics = CrisisMetrics()
-    metrics.record_session(tracker.state)
-    summary = metrics.get_summary()
+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 time
-from dataclasses import dataclass, field, asdict
-from datetime import datetime, timedelta
+from collections import Counter
 from pathlib import Path
-from typing import Dict, List, Optional
+from typing import Iterable
 
-METRICS_DIR = Path.home() / ".the-door" / "metrics"
+from .detect import CrisisDetectionResult, detect_crisis
+
+LEVELS = ("NONE", "LOW", "MEDIUM", "HIGH", "CRITICAL")
 
 
-@dataclass
-class SessionMetrics:
-    """Metrics from a single crisis session."""
-    timestamp: float
-    current_level: str
-    peak_level: str
-    message_count: int
-    was_escalating: bool
-    was_deescalating: bool
-    escalation_rate: float
-    triggered_overlay: bool = False
-    showed_988: bool = False
+def normalize_indicator(indicator: str) -> str:
+    """Return a stable privacy-safe keyword/category identifier."""
+    return indicator
 
 
-@dataclass
-class AggregateMetrics:
-    """Aggregate metrics across sessions."""
-    total_sessions: int = 0
-    total_messages: int = 0
-    
-    # Level distribution
-    level_counts: Dict[str, int] = field(default_factory=lambda: {
-        "NONE": 0, "LOW": 0, "MEDIUM": 0, "HIGH": 0, "CRITICAL": 0
-    })
-    
-    # Escalation tracking
-    escalating_sessions: int = 0
-    deescalating_sessions: int = 0
-    
-    # Safety interventions
-    overlay_triggers: int = 0
-    ninety_eight_show: int = 0
-    
-    # Time window
-    period_start: Optional[float] = None
-    period_end: Optional[float] = None
+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 {
+        "timestamp": timestamp,
+        "level": detection.level,
+        "indicator_count": len(indicators),
+        "indicators": indicators,
+        "continued_conversation": bool(continued_conversation),
+        "false_positive": bool(false_positive),
+    }
 
 
-class CrisisMetrics:
-    """
-    Aggregate crisis metrics with local JSON persistence.
-    
-    Privacy-first: stores only aggregate counts per day.
-    Never stores user messages, content, or identifying info.
-    """
-    
-    def __init__(self, metrics_dir: Optional[Path] = None):
-        self.metrics_dir = metrics_dir or METRICS_DIR
-        self.metrics_dir.mkdir(parents=True, exist_ok=True)
-        self._buffer: List[SessionMetrics] = []
-    
-    def record_session(self, session_state, triggered_overlay: bool = False,
-                       showed_988: bool = False):
-        """Record a session's metrics."""
-        from .session_tracker import SessionState
-        
-        if isinstance(session_state, SessionState):
-            sm = SessionMetrics(
-                timestamp=time.time(),
-                current_level=session_state.current_level,
-                peak_level=session_state.peak_level,
-                message_count=session_state.message_count,
-                was_escalating=session_state.is_escalating,
-                was_deescalating=session_state.is_deescalating,
-                escalation_rate=session_state.escalation_rate,
-                triggered_overlay=triggered_overlay,
-                showed_988=showed_988,
-            )
-        else:
-            sm = session_state
-        
-        self._buffer.append(sm)
-        self._flush()
-    
-    def _flush(self):
-        """Write buffered sessions to daily file."""
-        if not self._buffer:
-            return
-        
-        today = datetime.utcnow().strftime("%Y-%m-%d")
-        filepath = self.metrics_dir / f"{today}.jsonl"
-        
-        with open(filepath, 'a') as f:
-            for sm in self._buffer:
-                f.write(json.dumps(asdict(sm)) + '\n')
-        
-        self._buffer.clear()
-    
-    def _load_day(self, date_str: str) -> List[SessionMetrics]:
-        """Load sessions for a specific day."""
-        filepath = self.metrics_dir / f"{date_str}.jsonl"
-        if not filepath.exists():
-            return []
-        
-        sessions = []
-        with open(filepath) as f:
-            for line in f:
-                if line.strip():
-                    data = json.loads(line)
-                    sessions.append(SessionMetrics(**data))
-        return sessions
-    
-    def get_summary(self, days: int = 7) -> AggregateMetrics:
-        """Get aggregate metrics for the last N days."""
-        agg = AggregateMetrics()
-        
-        now = datetime.utcnow()
-        for i in range(days):
-            date = (now - timedelta(days=i)).strftime("%Y-%m-%d")
-            sessions = self._load_day(date)
-            
-            for sm in sessions:
-                agg.total_sessions += 1
-                agg.total_messages += sm.message_count
-                
-                # Level counts (use peak level)
-                level = sm.peak_level
-                agg.level_counts[level] = agg.level_counts.get(level, 0) + 1
-                
-                if sm.was_escalating:
-                    agg.escalating_sessions += 1
-                if sm.was_deescalating:
-                    agg.deescalating_sessions += 1
-                if sm.triggered_overlay:
-                    agg.overlay_triggers += 1
-                if sm.showed_988:
-                    agg.ninety_eight_show += 1
-                
-                # Time window
-                if agg.period_start is None or sm.timestamp < agg.period_start:
-                    agg.period_start = sm.timestamp
-                if agg.period_end is None or sm.timestamp > agg.period_end:
-                    agg.period_end = sm.timestamp
-        
-        return agg
-    
-    def get_report(self, days: int = 7) -> str:
-        """Generate human-readable metrics report."""
-        agg = self.get_summary(days)
-        
-        lines = []
-        lines.append("=" * 50)
-        lines.append("  CRISIS METRICS REPORT")
-        lines.append(f"  Last {days} days")
-        if agg.period_start:
-            start = datetime.fromtimestamp(agg.period_start).strftime("%Y-%m-%d %H:%M")
-            lines.append(f"  Period: {start} → now")
-        lines.append("=" * 50)
-        
-        lines.append(f"\n  Sessions:           {agg.total_sessions}")
-        lines.append(f"  Messages tracked:   {agg.total_messages}")
-        
-        lines.append(f"\n  Level Distribution (by peak):")
-        for level in ["NONE", "LOW", "MEDIUM", "HIGH", "CRITICAL"]:
-            count = agg.level_counts.get(level, 0)
-            pct = (count / agg.total_sessions * 100) if agg.total_sessions > 0 else 0
-            bar = "█" * int(pct / 5)
-            lines.append(f"    {level:<10} {count:>5} ({pct:>5.1f}%) {bar}")
-        
-        lines.append(f"\n  Escalations:        {agg.escalating_sessions}")
-        lines.append(f"  De-escalations:     {agg.deescalating_sessions}")
-        lines.append(f"  Overlay triggers:   {agg.overlay_triggers}")
-        lines.append(f"  988 shown:          {agg.ninety_eight_show}")
-        
-        if agg.total_sessions > 0:
-            escalation_rate = agg.escalating_sessions / agg.total_sessions * 100
-            lines.append(f"\n  Escalation rate:    {escalation_rate:.1f}%")
-        
-        lines.append("=" * 50)
-        
-        return "\n".join(lines)
-    
-    def get_json(self, days: int = 7) -> str:
-        """Export metrics as JSON."""
-        agg = self.get_summary(days)
-        return json.dumps(asdict(agg), indent=2)
+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():
-    """CLI entry point for crisis metrics."""
-    import argparse
-    
-    parser = argparse.ArgumentParser(description="Crisis Detection Metrics")
-    parser.add_argument("--summary", action="store_true", help="Show summary report")
-    parser.add_argument("--json", action="store_true", help="JSON export")
-    parser.add_argument("--days", type=int, default=7, help="Days to include")
-    parser.add_argument("--demo", action="store_true", help="Generate demo data")
-    args = parser.parse_args()
-    
-    metrics = CrisisMetrics()
-    
-    if args.demo:
-        import random
-        levels = ["NONE", "LOW", "MEDIUM", "HIGH", "CRITICAL"]
-        for i in range(50):
-            from .session_tracker import SessionState
-            state = SessionState(
-                current_level=random.choice(levels),
-                peak_level=random.choice(levels),
-                message_count=random.randint(1, 20),
-                is_escalating=random.random() > 0.7,
-                is_deescalating=random.random() > 0.8,
-                escalation_rate=random.random(),
-            )
-            metrics.record_session(
-                state,
-                triggered_overlay=random.random() > 0.8,
-                showed_988=random.random() > 0.7,
-            )
-        print("Generated 50 demo sessions.")
-    
-    if args.json:
-        print(metrics.get_json(args.days))
-    else:
-        print(metrics.get_report(args.days))
+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
+
+
+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]
+
+    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())

crisis/synthesizer_integration.py

@@ -1,139 +0,0 @@
-"""Crisis synthesizer integration for the responder pipeline.
-
-Privacy-first and opt-in. Writes append-only JSONL events that feed the
-existing crisis_synthesizer reporting flow.
-"""
-
-from __future__ import annotations
-
-import hashlib
-import json
-import logging
-import os
-import time
-from pathlib import Path
-from typing import Any, Optional
-
-from evolution.crisis_synthesizer import DEFAULT_LOG_PATH, append_interaction_event
-
-logger = logging.getLogger(__name__)
-
-SYNTH_ENABLED = os.environ.get("CRISIS_SYNTH_ENABLED", "0") == "1"
-SYNTH_LOG_PATH = Path(os.environ.get("CRISIS_SYNTH_LOG_PATH", str(DEFAULT_LOG_PATH)))
-
-
-class CrisisSynthesizerIntegration:
-    """Append-only bridge between responder events and the synthesizer log."""
-
-    def __init__(
-        self,
-        enabled: Optional[bool] = None,
-        log_dir: Optional[Path] = None,
-        log_path: Optional[Path] = None,
-    ):
-        self.enabled = SYNTH_ENABLED if enabled is None else bool(enabled)
-        if log_path is not None:
-            self.log_file = Path(log_path)
-        elif log_dir is not None:
-            self.log_file = Path(log_dir) / "events.jsonl"
-        else:
-            self.log_file = SYNTH_LOG_PATH
-        self.log_file.parent.mkdir(parents=True, exist_ok=True)
-        try:
-            os.chmod(self.log_file.parent, 0o700)
-        except OSError:
-            pass
-
-    def log_crisis_event(
-        self,
-        *,
-        level: str,
-        matched_keywords: list[str],
-        response_type: str,
-        session_id: str = "",
-        user_continued: bool = False,
-        metadata: Optional[dict[str, Any]] = None,
-    ) -> bool:
-        if not self.enabled:
-            return False
-
-        try:
-            append_interaction_event(
-                self.log_file,
-                level=level,
-                indicators=list(matched_keywords),
-                response_given=response_type,
-                continued_conversation=user_continued,
-                false_positive=False,
-                session_hash=self._hash_session(session_id) if session_id else "",
-                response_type=response_type,
-                metadata=metadata or {},
-            )
-            self._lock_down_log_file()
-            return True
-        except Exception as exc:
-            logger.warning("Failed to log crisis synthesizer event: %s", exc)
-            return False
-
-    def log_user_continued(self, session_id: str) -> bool:
-        if not self.enabled or not session_id or not self.log_file.exists():
-            return False
-
-        session_hash = self._hash_session(session_id)
-        saw_prior_crisis = False
-        try:
-            with self.log_file.open("r", encoding="utf-8") as handle:
-                for raw in handle:
-                    raw = raw.strip()
-                    if not raw:
-                        continue
-                    event = json.loads(raw)
-                    if (
-                        event.get("event_type", "crisis_interaction") == "crisis_interaction"
-                        and event.get("session_hash") == session_hash
-                    ):
-                        saw_prior_crisis = True
-            if not saw_prior_crisis:
-                return False
-
-            continuation = {
-                "event_type": "continuation",
-                "timestamp": float(time.time()),
-                "session_hash": session_hash,
-                "user_continued": True,
-            }
-            with self.log_file.open("a", encoding="utf-8") as handle:
-                handle.write(json.dumps(continuation) + "\n")
-            self._lock_down_log_file()
-            return True
-        except Exception as exc:
-            logger.warning("Failed to append crisis continuation marker: %s", exc)
-            return False
-
-    @staticmethod
-    def _hash_session(session_id: str) -> str:
-        return hashlib.sha256(session_id.encode("utf-8")).hexdigest()[:16]
-
-    def _lock_down_log_file(self) -> None:
-        try:
-            os.chmod(self.log_file, 0o600)
-        except OSError:
-            pass
-
-
-_integration: Optional[CrisisSynthesizerIntegration] = None
-
-
-def get_integration() -> CrisisSynthesizerIntegration:
-    global _integration
-    if _integration is None:
-        _integration = CrisisSynthesizerIntegration()
-    return _integration
-
-
-def log_crisis_event(**kwargs: Any) -> bool:
-    return get_integration().log_crisis_event(**kwargs)
-
-
-def log_user_continued(session_id: str) -> bool:
-    return get_integration().log_user_continued(session_id)

crisis/tracker.py

@@ -1,19 +0,0 @@
-"""Compatibility bridge for crisis session tracking.
-
-Issue #141 describes the shared the-door tracker surface as `crisis.tracker`.
-The canonical implementation lives in `crisis.session_tracker`, but hermes-agent
-integration should be able to import the shorter path without caring about
-internal file layout.
-"""
-
-from .session_tracker import (
-    CrisisSessionTracker,
-    SessionState,
-    check_crisis_with_session,
-)
-
-__all__ = [
-    "CrisisSessionTracker",
-    "SessionState",
-    "check_crisis_with_session",
-]

crisis_responder.py

@@ -21,13 +21,10 @@ Usage:
 """
 
 import random
-import threading
-import uuid
 from dataclasses import dataclass, field
 from typing import List, Optional
 
 from crisis_detector import CrisisResult
-from crisis.synthesizer_integration import get_integration
 
 
 # ── Core values (from SOUL.md / system-prompt.txt) ──────────────
@@ -140,26 +137,6 @@ class CrisisResponder:
       - Presence over brevity — stay as long as they need
     """
 
-    def __init__(
-        self,
-        synth_integration=None,
-        session_id: str = "",
-        async_synth_logging: bool = True,
-    ):
-        self._synth = synth_integration if synth_integration is not None else get_integration()
-        self._session_id = session_id or uuid.uuid4().hex
-        self._async_synth_logging = async_synth_logging
-        self._awaiting_continuation = False
-
-    def _run_synth_task(self, fn, *args, **kwargs):
-        if not self._synth or not getattr(self._synth, "enabled", False):
-            return
-        if self._async_synth_logging:
-            thread = threading.Thread(target=fn, args=args, kwargs=kwargs, daemon=True)
-            thread.start()
-        else:
-            fn(*args, **kwargs)
-
     def respond(self, detection: CrisisResult) -> CrisisResponse:
         """
         Generate a crisis response based on detection results.
@@ -173,40 +150,20 @@ class CrisisResponder:
         level = detection.risk_level
 
         if level == "CRITICAL":
-            response = self._respond_critical(detection)
+            return self._respond_critical(detection)
         elif level == "HIGH":
-            response = self._respond_high(detection)
+            return self._respond_high(detection)
         elif level == "MODERATE":
-            response = self._respond_moderate(detection)
+            return self._respond_moderate(detection)
         elif level == "LOW":
-            response = self._respond_low(detection)
+            return self._respond_low(detection)
         else:
-            response = CrisisResponse(
+            return CrisisResponse(
                 message="",
                 risk_level="NONE",
                 escalate=False,
             )
 
-        if level != "NONE":
-            self._run_synth_task(
-                self._synth.log_crisis_event,
-                level=level,
-                matched_keywords=list(detection.matched_keywords),
-                response_type=response.risk_level,
-                session_id=self._session_id,
-                user_continued=False,
-                metadata={
-                    "keyword_count": len(detection.matched_keywords),
-                    "score": detection.score,
-                },
-            )
-            self._awaiting_continuation = True
-        elif self._awaiting_continuation:
-            self._run_synth_task(self._synth.log_user_continued, self._session_id)
-            self._awaiting_continuation = False
-
-        return response
-
     def _respond_critical(self, detection: CrisisResult) -> CrisisResponse:
         """
         CRITICAL response protocol:

docs/issue-41-verification.md

@@ -1,32 +0,0 @@
-# Issue #41 Verification
-
-Status: already implemented on main
-
-Issue:
-- #41 [P3] Service worker: cache crisis resources for offline
-
-Acceptance criteria check:
-1. Passed — offline page includes 988 call button, Crisis Text Line, and grounding techniques
-2. Passed — service worker precaches `crisis-offline.html`
-3. Passed — phone number is clickable via `href="tel:988"`
-4. Passed — navigation timeout + offline fallback support intermittent connections
-
-Evidence:
-- `sw.js` precaches `/crisis-offline.html`
-- `sw.js` contains `NAVIGATION_TIMEOUT_MS` and `AbortController`
-- `crisis-offline.html` contains:
-  - `href="tel:988"`
-  - Crisis Text Line / `741741`
-  - grounding prompts for 5-4-3-2-1
-- `tests/test_service_worker_offline.py` already exists on main and passes
-
-Verification run from fresh main clone:
-- `python3 -m pytest tests/test_service_worker_offline.py -q`
-  - `10 passed`
-
-Prior implementation trail:
-- Issue comment already states the core implementation is complete on main
-- Closed PR #122 documented the already-complete implementation and added the offline guarantees test coverage that is now present on main
-
-Recommendation:
-- Close issue #41 as already implemented on main.

evolution/__init__.py

@@ -1 +0,0 @@
-"""Evolution package for learning-oriented the-door modules."""

evolution/crisis_synthesizer.py

@@ -1,225 +1 @@
-"""Crisis synthesizer — learn from anonymized crisis interactions.
-
-This is deliberately simple and privacy-preserving. It does not train a model or
-modify detection rules automatically. It only logs metadata, summarizes patterns,
-and suggests human-reviewed keyword weight adjustments.
-"""
-
-from __future__ import annotations
-
-import argparse
-import json
-import time
-from collections import Counter, defaultdict
-from pathlib import Path
-from typing import Iterable
-
-DEFAULT_LOG_PATH = Path.home() / ".the-door" / "crisis-interactions.jsonl"
-LEVELS = ("NONE", "LOW", "MEDIUM", "HIGH", "CRITICAL")
-
-
-def build_interaction_event(
-    level: str,
-    indicators: list[str],
-    response_given: str,
-    continued_conversation: bool,
-    false_positive: bool,
-    *,
-    now: float | None = None,
-    session_hash: str = "",
-    response_type: str | None = None,
-    metadata: dict | None = None,
-) -> dict:
-    indicator_list = list(indicators)
-    return {
-        "event_type": "crisis_interaction",
-        "timestamp": float(time.time() if now is None else now),
-        "level": level,
-        "indicators": indicator_list,
-        "matched_keywords": indicator_list,
-        "indicator_count": len(indicator_list),
-        "response_given": response_given,
-        "response_type": response_type or response_given,
-        "session_hash": session_hash,
-        "continued_conversation": bool(continued_conversation),
-        "user_continued": bool(continued_conversation),
-        "false_positive": bool(false_positive),
-        "metadata": metadata or {},
-    }
-
-
-def append_interaction_event(
-    log_path: str | Path,
-    *,
-    level: str,
-    indicators: list[str],
-    response_given: str,
-    continued_conversation: bool,
-    false_positive: bool,
-    now: float | None = None,
-    session_hash: str = "",
-    response_type: str | None = None,
-    metadata: dict | None = None,
-) -> dict:
-    event = build_interaction_event(
-        level,
-        indicators,
-        response_given,
-        continued_conversation,
-        false_positive,
-        now=now,
-        session_hash=session_hash,
-        response_type=response_type,
-        metadata=metadata,
-    )
-    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 load_interaction_events(log_path: str | Path) -> list[dict]:
-    path = Path(log_path)
-    if not path.exists():
-        return []
-    events: list[dict] = []
-    for line in path.read_text(encoding="utf-8").splitlines():
-        if not line.strip():
-            continue
-        event = json.loads(line)
-        event_type = event.get("event_type", "crisis_interaction")
-        if event_type == "continuation":
-            session_hash = event.get("session_hash", "")
-            for prior in reversed(events):
-                if (
-                    prior.get("event_type", "crisis_interaction") == "crisis_interaction"
-                    and prior.get("session_hash", "") == session_hash
-                ):
-                    prior["continued_conversation"] = True
-                    prior["user_continued"] = True
-                    prior["continued_at"] = event.get("timestamp")
-                    break
-            continue
-        events.append(event)
-    return events
-
-
-def summarize_keywords(events: Iterable[dict]) -> list[dict]:
-    counts: Counter[str] = Counter()
-    for event in events:
-        counts.update(event.get("indicators", []))
-    return [{"keyword": keyword, "count": count} for keyword, count in counts.most_common(10)]
-
-
-def suggest_keyword_adjustments(events: Iterable[dict], *, min_observations: int = 5) -> list[dict]:
-    stats: dict[str, dict[str, int]] = defaultdict(lambda: {
-        "observations": 0,
-        "true_positive_count": 0,
-        "false_positive_count": 0,
-        "continued_conversation_count": 0,
-    })
-
-    for event in events:
-        for keyword in event.get("indicators", []):
-            bucket = stats[keyword]
-            bucket["observations"] += 1
-            if event.get("false_positive"):
-                bucket["false_positive_count"] += 1
-            else:
-                bucket["true_positive_count"] += 1
-            if event.get("continued_conversation"):
-                bucket["continued_conversation_count"] += 1
-
-    suggestions = []
-    for keyword, bucket in sorted(stats.items()):
-        if bucket["observations"] < min_observations:
-            continue
-        fp = bucket["false_positive_count"]
-        tp = bucket["true_positive_count"]
-        if fp >= min_observations and tp == 0:
-            adjustment = "lower_weight"
-            rationale = "Observed only false positives across the sample window."
-        elif tp >= min_observations and fp == 0:
-            adjustment = "raise_weight"
-            rationale = "Observed repeated genuine crises with no false positives."
-        else:
-            adjustment = "observe"
-            rationale = "Mixed evidence; keep monitoring before changing weights."
-        suggestions.append(
-            {
-                "keyword": keyword,
-                **bucket,
-                "suggested_adjustment": adjustment,
-                "rationale": rationale,
-            }
-        )
-    return suggestions
-
-
-def build_weekly_report(
-    events: Iterable[dict],
-    *,
-    now: float | None = None,
-    window_days: int = 7,
-    min_observations: int = 3,
-) -> 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]
-
-    detections_per_level = {level: 0 for level in LEVELS}
-    detected_events = []
-    continued_after_intervention = 0
-    for event in filtered:
-        level = event.get("level", "NONE")
-        detections_per_level[level] = detections_per_level.get(level, 0) + 1
-        if level != "NONE":
-            detected_events.append(event)
-            if event.get("continued_conversation"):
-                continued_after_intervention += 1
-
-    false_positive_count = sum(1 for event in detected_events if event.get("false_positive"))
-    false_positive_estimate = false_positive_count / len(detected_events) if detected_events else 0.0
-
-    return {
-        "window_days": window_days,
-        "total_events": len(filtered),
-        "detections_per_level": detections_per_level,
-        "most_common_keywords": summarize_keywords(filtered),
-        "false_positive_estimate": false_positive_estimate,
-        "continued_after_intervention": continued_after_intervention,
-        "keyword_weight_suggestions": suggest_keyword_adjustments(filtered, min_observations=min_observations),
-    }
-
-
-def render_weekly_report(summary: dict) -> str:
-    return json.dumps(summary, indent=2)
-
-
-def write_weekly_report(output_path: str | Path, summary: dict) -> Path:
-    path = Path(output_path)
-    path.parent.mkdir(parents=True, exist_ok=True)
-    path.write_text(render_weekly_report(summary) + "\n", encoding="utf-8")
-    return path
-
-
-def main(argv: list[str] | None = None) -> int:
-    parser = argparse.ArgumentParser(description="Summarize anonymized crisis interactions")
-    parser.add_argument("--log-path", default=str(DEFAULT_LOG_PATH), help="JSONL crisis interaction log")
-    parser.add_argument("--days", type=int, default=7, help="Lookback window in days")
-    parser.add_argument("--min-observations", type=int, default=3, help="Minimum observations before suggesting keyword adjustments")
-    parser.add_argument("--output", help="Optional file to write the weekly report JSON")
-    args = parser.parse_args(argv)
-
-    events = load_interaction_events(args.log_path)
-    summary = build_weekly_report(events, window_days=args.days, min_observations=args.min_observations)
-    rendered = render_weekly_report(summary)
-    print(rendered)
-    if args.output:
-        write_weekly_report(args.output, summary)
-    return 0
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())
+...

image_screening.py

@@ -1,170 +0,0 @@
-"""
-image_screening.py — local image crisis screening slice for epic #130.
-
-Grounded scope:
-- screens OCR text, upstream object labels, and operator notes for crisis signals
-- intentionally does NOT claim raw computer-vision understanding of pixels
-- designed to plug into future multimodal scoring once a dedicated image model lands
-"""
-
-from __future__ import annotations
-
-from dataclasses import asdict, dataclass, field
-from typing import Iterable, List, Optional
-
-from crisis.detect import detect_crisis
-
-
-DIRECT_SELF_HARM_LABELS = {
-    "blood",
-    "blade",
-    "razor",
-    "knife",
-    "scissors",
-    "noose",
-    "ligature",
-    "hanging",
-    "pills",
-    "pill bottle",
-    "overdose",
-    "gun",
-    "firearm",
-    "rope",
-    "cuts",
-    "self-harm",
-}
-
-INJURY_LABELS = {
-    "wound",
-    "wounds",
-    "bruise",
-    "bruises",
-    "bandage",
-    "bandages",
-    "injury",
-    "injuries",
-    "scar",
-    "scars",
-    "burn",
-    "burns",
-    "bleeding",
-}
-
-HIGH_RISK_SCENE_LABELS = {
-    "bridge edge",
-    "rooftop edge",
-    "train tracks",
-    "ledge",
-    "cliff edge",
-    "dark room",
-    "bathroom floor",
-    "hospital wristband",
-    "suicide note",
-    "goodbye letter",
-}
-
-
-@dataclass
-class ImageScreeningResult:
-    ocr_text: str = ""
-    labels: List[str] = field(default_factory=list)
-    visual_flags: List[str] = field(default_factory=list)
-    distress_score: float = 0.0
-    requires_human_review: bool = False
-    signals_detected: List[str] = field(default_factory=list)
-    grounded_scope: str = (
-        "heuristic screening over OCR text, upstream labels, and operator notes; "
-        "raw vision-model inference is not implemented in this slice"
-    )
-
-    def to_dict(self) -> dict:
-        return asdict(self)
-
-
-def _normalize_items(values: Optional[Iterable[str]]) -> List[str]:
-    if not values:
-        return []
-    normalized = []
-    for value in values:
-        text = str(value).strip().lower()
-        if text:
-            normalized.append(text)
-    return normalized
-
-
-def _match_keywords(haystack: str, keywords: set[str]) -> List[str]:
-    matches = []
-    for keyword in keywords:
-        if keyword in haystack:
-            matches.append(keyword)
-    return sorted(set(matches))
-
-
-def screen_image_signals(
-    image_path: Optional[str] = None,
-    *,
-    ocr_text: str = "",
-    labels: Optional[Iterable[str]] = None,
-    manual_notes: str = "",
-    visual_flags: Optional[Iterable[str]] = None,
-) -> ImageScreeningResult:
-    """
-    Score image-related crisis evidence without pretending to do full CV.
-
-    Inputs are deliberately grounded in what the repo can actually support today:
-    - OCR text extracted upstream from screenshots/photos
-    - object labels supplied by a local model or operator
-    - manual operator notes about visible scene context
-    - optional visual flags from any upstream preprocessor
-    """
-    normalized_labels = _normalize_items(labels)
-    normalized_flags = _normalize_items(visual_flags)
-    normalized_notes = str(manual_notes or "").strip().lower()
-    normalized_ocr = str(ocr_text or "").strip()
-
-    combined_label_text = " ".join(normalized_labels + normalized_flags + ([normalized_notes] if normalized_notes else []))
-    crisis_text = " ".join(part for part in [normalized_ocr, normalized_notes] if part).strip()
-
-    direct_matches = _match_keywords(combined_label_text, DIRECT_SELF_HARM_LABELS)
-    injury_matches = _match_keywords(combined_label_text, INJURY_LABELS)
-    scene_matches = _match_keywords(combined_label_text, HIGH_RISK_SCENE_LABELS)
-    text_detection = detect_crisis(crisis_text) if crisis_text else None
-
-    signals: List[str] = []
-    score = 0.0
-
-    if direct_matches:
-        score = max(score, 0.85)
-        for match in direct_matches:
-            signals.append(f"direct_self_harm_label:{match}")
-
-    if injury_matches:
-        score = max(score, 0.55)
-        for match in injury_matches:
-            signals.append(f"injury_indicator:{match}")
-
-    if scene_matches:
-        score = max(score, 0.4)
-        for match in scene_matches:
-            signals.append(f"high_risk_scene:{match}")
-
-    if text_detection and text_detection.level != "NONE":
-        score = max(score, min(1.0, text_detection.score))
-        signals.append(f"ocr_crisis_level:{text_detection.level}")
-        for indicator in text_detection.indicators[:3]:
-            signals.append(f"ocr_indicator:{indicator}")
-
-    if direct_matches and text_detection and text_detection.level in {"HIGH", "CRITICAL"}:
-        score = min(1.0, max(score, 0.95))
-        signals.append("cross_modal_confirmation:text_plus_visual")
-
-    requires_human_review = score >= 0.4 or bool(direct_matches)
-
-    return ImageScreeningResult(
-        ocr_text=normalized_ocr,
-        labels=list(normalized_labels),
-        visual_flags=list(normalized_flags),
-        distress_score=round(score, 4),
-        requires_human_review=requires_human_review,
-        signals_detected=signals,
-    )

index.html

@@ -241,48 +241,6 @@ html, body {
   opacity: 0.5;
 }
 
-/* ===== CHAT HEADER ===== */
-#chat-header {
-  flex-shrink: 0;
-  display: flex;
-  align-items: center;
-  justify-content: space-between;
-  gap: 12px;
-  padding: 10px 12px;
-  border-bottom: 1px solid #21262d;
-  background: #11161d;
-}
-
-.chat-header-title {
-  font-size: 0.85rem;
-  color: #8b949e;
-  font-weight: 600;
-  letter-spacing: 0.02em;
-}
-
-#chat-safety-plan-btn {
-  display: inline-flex;
-  align-items: center;
-  gap: 6px;
-  padding: 8px 12px;
-  min-height: 36px;
-  border: 1px solid #30363d;
-  border-radius: 999px;
-  background: transparent;
-  color: #c9d1d9;
-  font-size: 0.8rem;
-  font-weight: 600;
-  cursor: pointer;
-}
-
-#chat-safety-plan-btn:hover,
-#chat-safety-plan-btn:focus {
-  border-color: #58a6ff;
-  background: rgba(88, 166, 255, 0.12);
-  outline: 2px solid #58a6ff;
-  outline-offset: 2px;
-}
-
 /* ===== CHAT AREA ===== */
 #chat-area {
   flex: 1;
@@ -691,14 +649,6 @@ html, body {
     </div>
   </div>
 
-  <div id="chat-header">
-    <div class="chat-header-title" aria-hidden="true">Conversation</div>
-    <button id="chat-safety-plan-btn" type="button" aria-label="Open My Safety Plan from chat header">
-      <svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z"/><polyline points="14 2 14 8 20 8"/><line x1="16" y1="13" x2="8" y2="13"/><line x1="16" y1="17" x2="8" y2="17"/><polyline points="10 9 9 9 8 9"/></svg>
-      My Safety Plan
-    </button>
-  </div>
-
   <!-- Chat messages -->
   <div id="chat-area" role="log" aria-label="Chat messages" aria-live="polite" tabindex="0">
     <!-- Messages inserted here -->
@@ -731,7 +681,6 @@ html, body {
   <!-- Footer -->
   <footer id="footer">
     <a href="/about.html" aria-label="About The Door">about</a>
-    <button id="crisis-resources-btn" aria-label="Open crisis resources">crisis resources</button>
     <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>
@@ -862,11 +811,9 @@ Sovereignty and service always.`;
   var overlayCallLink = document.querySelector('.overlay-call');
   var statusDot = document.querySelector('.status-dot');
   var statusText = document.getElementById('status-text');
-  var crisisResourcesBtn = document.getElementById('crisis-resources-btn');
   
   // Safety Plan Elements
   var safetyPlanBtn = document.getElementById('safety-plan-btn');
-  var chatSafetyPlanBtn = document.getElementById('chat-safety-plan-btn');
   var crisisSafetyPlanBtn = document.getElementById('crisis-safety-plan-btn');
   var safetyPlanModal = document.getElementById('safety-plan-modal');
   var closeSafetyPlan = document.getElementById('close-safety-plan');
@@ -879,9 +826,6 @@ Sovereignty and service always.`;
   var isStreaming = false;
   var overlayTimer = null;
   var crisisPanelShown = false;
-  var CRISIS_OVERLAY_COOLDOWN_MS = 10 * 60 * 1000;
-  var CRISIS_OVERLAY_LAST_SHOWN_KEY = 'timmy_crisis_overlay_last_shown_at';
-  var CRISIS_OVERLAY_EVENT_LOG_KEY = 'timmy_crisis_overlay_event_log';
 
   // ===== SERVICE WORKER =====
   if ('serviceWorker' in navigator) {
@@ -909,43 +853,6 @@ Sovereignty and service always.`;
   window.addEventListener('offline', updateOnlineStatus);
   updateOnlineStatus();
 
-  function getLastOverlayShownAt() {
-    try {
-      return parseInt(localStorage.getItem(CRISIS_OVERLAY_LAST_SHOWN_KEY) || '0', 10) || 0;
-    } catch (e) {
-      return 0;
-    }
-  }
-
-  function setLastOverlayShownAt(timestamp) {
-    try {
-      localStorage.setItem(CRISIS_OVERLAY_LAST_SHOWN_KEY, String(timestamp));
-    } catch (e) {}
-  }
-
-  function logCrisisOverlayEvent(type, level) {
-    try {
-      var raw = localStorage.getItem(CRISIS_OVERLAY_EVENT_LOG_KEY);
-      var events = raw ? JSON.parse(raw) : [];
-      if (!Array.isArray(events)) events = [];
-      events.push({ type: type, level: level, at: Date.now() });
-      if (events.length > 20) events = events.slice(events.length - 20);
-      localStorage.setItem(CRISIS_OVERLAY_EVENT_LOG_KEY, JSON.stringify(events));
-    } catch (e) {}
-  }
-
-  function openCrisisResources() {
-    crisisPanelShown = true;
-    crisisPanel.classList.add('visible');
-    if (typeof crisisPanel.scrollIntoView === 'function') {
-      crisisPanel.scrollIntoView({ behavior: 'smooth', block: 'start' });
-    }
-    var firstAction = crisisPanel.querySelector('.crisis-btn, a[href]');
-    if (firstAction && typeof firstAction.focus === 'function') {
-      firstAction.focus();
-    }
-  }
-
   // ===== CRISIS KEYWORDS =====
   // Tier 1: General crisis indicators - triggers enhanced 988 panel
   var crisisKeywords = [
@@ -1080,33 +987,20 @@ Sovereignty and service always.`;
 
   // Focus trap: cycle through focusable elements within the crisis overlay
   function getOverlayFocusableElements() {
-    return Array.prototype.slice.call(crisisOverlay.querySelectorAll(
+    return crisisOverlay.querySelectorAll(
       'a[href], button:not([disabled]), [tabindex]:not([tabindex="-1"])'
-    ));
+    );
   }
 
   function trapFocusInOverlay(e) {
     if (!crisisOverlay.classList.contains('active')) return;
-    if (e.key === 'Escape') {
-      e.preventDefault();
-      closeOverlay(msgInput);
-      return;
-    }
     if (e.key !== 'Tab') return;
 
     var focusable = getOverlayFocusableElements();
     if (focusable.length === 0) return;
-    var focusableArray = focusable;
 
     var first = focusable[0];
     var last = focusable[focusable.length - 1];
-    var activeIndex = focusableArray.indexOf(document.activeElement);
-
-    if (activeIndex === -1) {
-      e.preventDefault();
-      e.shiftKey ? last.focus() : first.focus();
-      return;
-    }
 
     if (e.shiftKey) {
       // Shift+Tab: if on first, wrap to last
@@ -1126,47 +1020,7 @@ Sovereignty and service always.`;
   // Store the element that had focus before the overlay opened
   var _preOverlayFocusElement = null;
 
-  function closeOverlay(restoreFocusTarget) {
-    crisisOverlay.classList.remove('active');
-    if (overlayTimer) {
-      clearInterval(overlayTimer);
-      overlayTimer = null;
-    }
-
-    // Re-enable background interaction
-    var mainApp = document.getElementById('app');
-    if (mainApp) mainApp.removeAttribute('inert');
-    var chatSection = document.getElementById('chat-area');
-    if (chatSection) chatSection.removeAttribute('aria-hidden');
-    var footerEl = document.querySelector('footer');
-    if (footerEl) footerEl.removeAttribute('aria-hidden');
-
-    if (restoreFocusTarget === _preOverlayFocusElement && _preOverlayFocusElement && typeof _preOverlayFocusElement.focus === 'function') {
-      _preOverlayFocusElement.focus();
-    } else if (restoreFocusTarget && typeof restoreFocusTarget.focus === 'function') {
-      restoreFocusTarget.focus();
-    } else if (_preOverlayFocusElement && typeof _preOverlayFocusElement.focus === 'function') {
-      _preOverlayFocusElement.focus();
-    } else {
-      msgInput.focus();
-    }
-    _preOverlayFocusElement = null;
-  }
-
   function showOverlay() {
-    return showOverlayWithRateLimit(false, 2);
-  }
-
-  function showOverlayWithRateLimit(forceOpen, level) {
-    var lastShownAt = getLastOverlayShownAt();
-    if (!forceOpen && Date.now() - lastShownAt < CRISIS_OVERLAY_COOLDOWN_MS) {
-      logCrisisOverlayEvent('suppressed', level || 2);
-      return false;
-    }
-
-    logCrisisOverlayEvent(forceOpen ? 'manual-open' : 'shown', level || 2);
-    setLastOverlayShownAt(Date.now());
-
     // Save current focus for restoration on dismiss
     _preOverlayFocusElement = document.activeElement;
 
@@ -1176,10 +1030,10 @@ Sovereignty and service always.`;
     overlayDismissBtn.textContent = 'Continue to chat (' + countdown + 's)';
 
     // Disable background interaction via inert attribute
-    var mainApp = document.getElementById('app');
+    var mainApp = document.querySelector('.app');
     if (mainApp) mainApp.setAttribute('inert', '');
     // Also hide from assistive tech
-    var chatSection = document.getElementById('chat-area');
+    var chatSection = document.getElementById('chat');
     if (chatSection) chatSection.setAttribute('aria-hidden', 'true');
     var footerEl = document.querySelector('footer');
     if (footerEl) footerEl.setAttribute('aria-hidden', 'true');
@@ -1199,7 +1053,6 @@ Sovereignty and service always.`;
 
     // Focus the Call 988 link (always enabled) — disabled buttons cannot receive focus
     if (overlayCallLink) overlayCallLink.focus();
-    return true;
   }
 
   // Register focus trap on document (always listening, gated by class check)
@@ -1207,7 +1060,27 @@ Sovereignty and service always.`;
 
   overlayDismissBtn.addEventListener('click', function() {
     if (!overlayDismissBtn.disabled) {
-      closeOverlay(_preOverlayFocusElement);
+      crisisOverlay.classList.remove('active');
+      if (overlayTimer) {
+        clearInterval(overlayTimer);
+        overlayTimer = null;
+      }
+
+      // Re-enable background interaction
+      var mainApp = document.querySelector('.app');
+      if (mainApp) mainApp.removeAttribute('inert');
+      var chatSection = document.getElementById('chat');
+      if (chatSection) chatSection.removeAttribute('aria-hidden');
+      var footerEl = document.querySelector('footer');
+      if (footerEl) footerEl.removeAttribute('aria-hidden');
+
+      // Restore focus to the element that had it before the overlay opened
+      if (_preOverlayFocusElement && typeof _preOverlayFocusElement.focus === 'function') {
+        _preOverlayFocusElement.focus();
+      } else {
+        msgInput.focus();
+      }
+      _preOverlayFocusElement = null;
     }
   });
 
@@ -1412,31 +1285,19 @@ Sovereignty and service always.`;
     _spTriggerEl = null;
   }
 
-  function openSafetyPlan(triggerEl) {
-    loadSafetyPlan();
-    safetyPlanModal.classList.add('active');
-    _activateSafetyPlanFocusTrap(triggerEl || document.activeElement);
-  }
-
   // Wire open buttons to activate focus trap
   safetyPlanBtn.addEventListener('click', function() {
-    openSafetyPlan(safetyPlanBtn);
-  });
-
-  chatSafetyPlanBtn.addEventListener('click', function() {
-    openSafetyPlan(chatSafetyPlanBtn);
+    loadSafetyPlan();
+    safetyPlanModal.classList.add('active');
+    _activateSafetyPlanFocusTrap(safetyPlanBtn);
   });
 
   // Crisis panel safety plan button (if crisis panel is visible)
   if (crisisSafetyPlanBtn) {
     crisisSafetyPlanBtn.addEventListener('click', function() {
-      openSafetyPlan(crisisSafetyPlanBtn);
-    });
-  }
-
-  if (crisisResourcesBtn) {
-    crisisResourcesBtn.addEventListener('click', function() {
-      openCrisisResources();
+      loadSafetyPlan();
+      safetyPlanModal.classList.add('active');
+      _activateSafetyPlanFocusTrap(crisisSafetyPlanBtn);
     });
   }
 
@@ -1583,7 +1444,9 @@ Sovereignty and service always.`;
     // Check for URL params (e.g., ?safetyplan=true for PWA shortcut)
     var urlParams = new URLSearchParams(window.location.search);
     if (urlParams.get('safetyplan') === 'true') {
-      openSafetyPlan(chatSafetyPlanBtn || safetyPlanBtn);
+      loadSafetyPlan();
+      safetyPlanModal.classList.add('active');
+      _activateSafetyPlanFocusTrap(safetyPlanBtn);
       // Clean up URL
       window.history.replaceState({}, document.title, window.location.pathname);
     }

reports/2026-04-17-the-door-fleet-work-orders-audit.md

@@ -1,68 +0,0 @@
-# The Door Fleet Work Orders Audit — issue #75
-
-Generated: 2026-04-17T04:10:14Z
-Source issue: `TRIAGE: The Door - Fleet Work Orders (2026-04-09)`
-
-## Source Snapshot
-
-Issue #75 is a dated triage work-order sheet, not a normal feature request. The durable deliverable is a truth-restored audit of the referenced issue and PR set against live forge state.
-
-## Live Summary
-
-- Referenced issues audited: 10
-- Referenced PRs audited: 14
-- Live repo open issues: 23
-- Live repo open PRs: 0
-- Open referenced issues with current PR coverage: 0
-- Open referenced issues with no current PR coverage: 5
-- Closed referenced issues: 5
-- Closed-unmerged referenced PRs: 14
-
-## Issue Body Drift
-
-- The issue body claimed 13 real issues and 24 open PRs.
-- Live repo state now shows 23 open issues and 0 open PRs.
-- Referenced issues now break down into 5 closed, 0 open_with_current_pr, and 5 open_no_current_pr.
-- Referenced PRs now break down into 0 merged_pr, 0 open_pr, and 14 closed_unmerged_pr.
-
-## Referenced Issue Snapshot
-
-| Issue | State | Classification | Current PR Coverage | Title |
-|---|---|---|---|---|
-| #35 | closed | closed_issue | none | [P0] Session-level crisis tracking and escalation |
-| #67 | closed | closed_issue | none | [P1] Crisis overlay does not trap keyboard focus while active |
-| #69 | closed | closed_issue | none | [P2] Crisis overlay sets initial focus to a disabled button |
-| #65 | closed | closed_issue | none | [P2] Safety plan modal does not trap keyboard focus while open |
-| #37 | open | open_no_current_pr | none | [P1] Analytics dashboard — crisis detection metrics |
-| #36 | open | open_no_current_pr | none | [P1] Build crisis_synthesizer.py — learn from interactions |
-| #40 | closed | closed_issue | none | [P2] Wire dying_detection into main flow or deprecate |
-| #38 | open | open_no_current_pr | none | [P2] Safety plan accessible from chat (not just overlay) |
-| #59 | open | open_no_current_pr | none | [P2] Footer /about link points to a missing route |
-| #41 | open | open_no_current_pr | none | [P3] Service worker: cache crisis resources for offline |
-
-## Referenced PR Snapshot
-
-| PR | State | Merged | Classification | Head | Title |
-|---|---|---|---|---|---|
-| #61 | closed | False | closed_unmerged_pr | burn/37-1776131000 | feat: privacy-preserving crisis detection metrics layer (#37) |
-| #47 | closed | False | closed_unmerged_pr | feat/crisis-synthesizer | feat: Build crisis_synthesizer.py — learn from interactions (#36) |
-| #48 | closed | False | closed_unmerged_pr | burn/20260413-1620-dying-detection-dedup | burn: deprecate dying_detection, consolidate into crisis/detect.py |
-| #50 | closed | False | closed_unmerged_pr | whip/40-1776128804 | fix: deprecate dying_detection and consolidate crisis detection (#40) |
-| #51 | closed | False | closed_unmerged_pr | queue/40-1776129201 | fix: deprecate dying_detection and consolidate crisis detection (#40) |
-| #53 | closed | False | closed_unmerged_pr | q/40-1776129480 | fix: deprecate dying_detection and consolidate crisis detection (#40) |
-| #56 | closed | False | closed_unmerged_pr | triage/40-1776129677 | fix: deprecate dying_detection and consolidate crisis detection (#40) |
-| #58 | closed | False | closed_unmerged_pr | dawn/40-1776130053 | fix: deprecate dying_detection and consolidate crisis detection (#40) |
-| #70 | closed | False | closed_unmerged_pr | am/40-1776166469 | fix: deprecate dying_detection and consolidate crisis detection (#40) |
-| #72 | closed | False | closed_unmerged_pr | am/38-1776166469 | feat: add always-on safety plan access in chat header (#38) |
-| #62 | closed | False | closed_unmerged_pr | burn/59-1776131200 | fix: point footer about link to /about.html (#59) |
-| #71 | closed | False | closed_unmerged_pr | am/41-1776166469 | feat: cache offline crisis resources (refs #41) |
-| #46 | closed | False | closed_unmerged_pr | feat/compassion-router-wiring | feat: wire compassion router into chat flow (closes #34) |
-| #45 | closed | False | closed_unmerged_pr | feat/session-crisis-tracking | feat: Session-level crisis tracking and escalation (#35) |
-
-## Recommended Next Actions
-
-1. Do not trust the original work-order body as live truth; use this audit artifact for current planning.
-2. Re-triage the open_no_current_pr issues individually before dispatching new work, because the old PR references are now stale.
-3. Treat closed_unmerged_pr references as historical attempts, not active review lanes.
-4. If future work orders are needed, generate them from live forge state instead of reusing the 2026-04-09 issue body.
-5. This audit preserves operator memory; it does not claim all referenced work orders are complete.

scripts/fleet_work_orders_audit.py

@@ -1,295 +0,0 @@
-#!/usr/bin/env python3
-from __future__ import annotations
-
-import argparse
-import json
-import os
-import re
-from datetime import datetime, timezone
-from pathlib import Path
-from typing import Any
-from urllib.request import Request, urlopen
-
-API_BASE = "https://forge.alexanderwhitestone.com/api/v1"
-ORG = "Timmy_Foundation"
-DEFAULT_TOKEN_PATH = os.path.expanduser("~/.config/gitea/token")
-DEFAULT_OUTPUT = "reports/2026-04-17-the-door-fleet-work-orders-audit.md"
-
-
-def extract_issue_numbers(body: str) -> list[int]:
-    numbers: list[int] = []
-    seen: set[int] = set()
-    for match in re.finditer(r"#(\d+)", body or ""):
-        value = int(match.group(1))
-        if value in seen:
-            continue
-        seen.add(value)
-        numbers.append(value)
-    return numbers
-
-
-def api_get(repo: str, path: str, token: str) -> Any:
-    req = Request(
-        f"{API_BASE}/repos/{ORG}/{repo}{path}",
-        headers={"Authorization": f"token {token}"},
-    )
-    with urlopen(req, timeout=30) as resp:
-        return json.loads(resp.read().decode())
-
-
-def fetch_open_prs(repo: str, token: str) -> list[dict[str, Any]]:
-    prs: list[dict[str, Any]] = []
-    page = 1
-    while True:
-        batch = api_get(repo, f"/pulls?state=open&limit=100&page={page}", token)
-        if not batch:
-            break
-        prs.extend(batch)
-        page += 1
-    return prs
-
-
-def fetch_live_open_issue_count(repo: str, token: str) -> int:
-    total = 0
-    page = 1
-    while True:
-        batch = api_get(repo, f"/issues?state=open&limit=100&page={page}", token)
-        if not batch:
-            break
-        total += sum(1 for item in batch if not item.get("pull_request"))
-        page += 1
-    return total
-
-
-def parse_claimed_summary(body: str) -> tuple[int | None, int | None]:
-    issue_match = re.search(r"has\s+(\d+)\s+real issues", body or "", flags=re.IGNORECASE)
-    pr_match = re.search(r"and\s+(\d+)\s+open PRs", body or "", flags=re.IGNORECASE)
-    claimed_open_issues = int(issue_match.group(1)) if issue_match else None
-    claimed_open_prs = int(pr_match.group(1)) if pr_match else None
-    return claimed_open_issues, claimed_open_prs
-
-
-def summarize_open_pr_coverage(issue_num: int, open_prs: list[dict[str, Any]]) -> str:
-    matches: list[str] = []
-    seen: set[int] = set()
-    for pr in open_prs:
-        pr_num = pr["number"]
-        if pr_num in seen:
-            continue
-        text = "\n".join(
-            [
-                pr.get("title") or "",
-                pr.get("body") or "",
-                (pr.get("head") or {}).get("ref") or "",
-            ]
-        )
-        if f"#{issue_num}" not in text:
-            continue
-        seen.add(pr_num)
-        matches.append(f"open PR #{pr_num}")
-    return ", ".join(matches) if matches else "none"
-
-
-def classify_issue_reference(ref_issue: dict[str, Any], open_prs: list[dict[str, Any]]) -> dict[str, Any]:
-    issue_num = ref_issue["number"]
-    state = ref_issue.get("state") or "unknown"
-    coverage = summarize_open_pr_coverage(issue_num, open_prs)
-    if state == "closed":
-        classification = "closed_issue"
-    elif coverage != "none":
-        classification = "open_with_current_pr"
-    else:
-        classification = "open_no_current_pr"
-    return {
-        "number": issue_num,
-        "state": state,
-        "classification": classification,
-        "title": ref_issue.get("title") or "",
-        "current_pr_coverage": coverage,
-        "url": ref_issue.get("html_url") or ref_issue.get("url") or "",
-    }
-
-
-def classify_pr_reference(repo: str, pr_num: int, token: str) -> dict[str, Any]:
-    pr = api_get(repo, f"/pulls/{pr_num}", token)
-    state = pr.get("state") or "unknown"
-    merged = bool(pr.get("merged"))
-    if merged:
-        classification = "merged_pr"
-    elif state == "open":
-        classification = "open_pr"
-    else:
-        classification = "closed_unmerged_pr"
-    return {
-        "number": pr_num,
-        "state": state,
-        "merged": merged,
-        "classification": classification,
-        "title": pr.get("title") or "",
-        "head": (pr.get("head") or {}).get("ref") or "",
-        "url": pr.get("html_url") or pr.get("url") or "",
-    }
-
-
-def table(rows: list[dict[str, Any]], columns: list[tuple[str, str]]) -> str:
-    headers = [title for title, _ in columns]
-    keys = [key for _, key in columns]
-    if not rows:
-        return "| None |\n|---|\n| None |"
-    lines = ["| " + " | ".join(headers) + " |", "|" + "|".join(["---"] * len(headers)) + "|"]
-    for row in rows:
-        values: list[str] = []
-        for key in keys:
-            value = row.get(key, "")
-            if key == "number" and value != "":
-                value = f"#{value}"
-            values.append(str(value).replace("\n", " "))
-        lines.append("| " + " | ".join(values) + " |")
-    return "\n".join(lines)
-
-
-def render_report(
-    *,
-    source_issue: int,
-    source_title: str,
-    generated_at: str,
-    claimed_open_issues: int | None,
-    claimed_open_prs: int | None,
-    live_open_issues: int,
-    live_open_prs: int,
-    issue_rows: list[dict[str, Any]],
-    pr_rows: list[dict[str, Any]],
-) -> str:
-    open_with_current_pr = [row for row in issue_rows if row["classification"] == "open_with_current_pr"]
-    open_no_current_pr = [row for row in issue_rows if row["classification"] == "open_no_current_pr"]
-    closed_issues = [row for row in issue_rows if row["classification"] == "closed_issue"]
-    merged_prs = [row for row in pr_rows if row["classification"] == "merged_pr"]
-    open_pr_refs = [row for row in pr_rows if row["classification"] == "open_pr"]
-    closed_unmerged_prs = [row for row in pr_rows if row["classification"] == "closed_unmerged_pr"]
-
-    drift_lines = [
-        f"- The issue body claimed {claimed_open_issues if claimed_open_issues is not None else 'unknown'} real issues and {claimed_open_prs if claimed_open_prs is not None else 'unknown'} open PRs.",
-        f"- Live repo state now shows {live_open_issues} open issues and {live_open_prs} open PRs.",
-        f"- Referenced issues now break down into {len(closed_issues)} closed, {len(open_with_current_pr)} open_with_current_pr, and {len(open_no_current_pr)} open_no_current_pr.",
-        f"- Referenced PRs now break down into {len(merged_prs)} merged_pr, {len(open_pr_refs)} open_pr, and {len(closed_unmerged_prs)} closed_unmerged_pr.",
-    ]
-
-    return "\n".join(
-        [
-            f"# The Door Fleet Work Orders Audit — issue #{source_issue}",
-            "",
-            f"Generated: {generated_at}",
-            f"Source issue: `{source_title}`",
-            "",
-            "## Source Snapshot",
-            "",
-            "Issue #75 is a dated triage work-order sheet, not a normal feature request. The durable deliverable is a truth-restored audit of the referenced issue and PR set against live forge state.",
-            "",
-            "## Live Summary",
-            "",
-            f"- Referenced issues audited: {len(issue_rows)}",
-            f"- Referenced PRs audited: {len(pr_rows)}",
-            f"- Live repo open issues: {live_open_issues}",
-            f"- Live repo open PRs: {live_open_prs}",
-            f"- Open referenced issues with current PR coverage: {len(open_with_current_pr)}",
-            f"- Open referenced issues with no current PR coverage: {len(open_no_current_pr)}",
-            f"- Closed referenced issues: {len(closed_issues)}",
-            f"- Closed-unmerged referenced PRs: {len(closed_unmerged_prs)}",
-            "",
-            "## Issue Body Drift",
-            "",
-            *drift_lines,
-            "",
-            "## Referenced Issue Snapshot",
-            "",
-            table(
-                issue_rows,
-                [
-                    ("Issue", "number"),
-                    ("State", "state"),
-                    ("Classification", "classification"),
-                    ("Current PR Coverage", "current_pr_coverage"),
-                    ("Title", "title"),
-                ],
-            ),
-            "",
-            "## Referenced PR Snapshot",
-            "",
-            table(
-                pr_rows,
-                [
-                    ("PR", "number"),
-                    ("State", "state"),
-                    ("Merged", "merged"),
-                    ("Classification", "classification"),
-                    ("Head", "head"),
-                    ("Title", "title"),
-                ],
-            ),
-            "",
-            "## Recommended Next Actions",
-            "",
-            "1. Do not trust the original work-order body as live truth; use this audit artifact for current planning.",
-            "2. Re-triage the open_no_current_pr issues individually before dispatching new work, because the old PR references are now stale.",
-            "3. Treat closed_unmerged_pr references as historical attempts, not active review lanes.",
-            "4. If future work orders are needed, generate them from live forge state instead of reusing the 2026-04-09 issue body.",
-            "5. This audit preserves operator memory; it does not claim all referenced work orders are complete.",
-        ]
-    ) + "\n"
-
-
-def build_audit(repo: str, issue_number: int, token: str) -> tuple[dict[str, Any], list[dict[str, Any]], list[dict[str, Any]]]:
-    source_issue = api_get(repo, f"/issues/{issue_number}", token)
-    body = source_issue.get("body") or ""
-    refs = extract_issue_numbers(body)
-    open_prs = fetch_open_prs(repo, token)
-    claimed_open_issues, claimed_open_prs = parse_claimed_summary(body)
-    issue_rows: list[dict[str, Any]] = []
-    pr_rows: list[dict[str, Any]] = []
-    for ref in refs:
-        issue_like = api_get(repo, f"/issues/{ref}", token)
-        if issue_like.get("pull_request"):
-            pr_rows.append(classify_pr_reference(repo, ref, token))
-        else:
-            issue_rows.append(classify_issue_reference(issue_like, open_prs))
-    metadata = {
-        "source_title": source_issue.get("title") or "",
-        "claimed_open_issues": claimed_open_issues,
-        "claimed_open_prs": claimed_open_prs,
-        "live_open_issues": fetch_live_open_issue_count(repo, token),
-        "live_open_prs": len(open_prs),
-    }
-    return metadata, issue_rows, pr_rows
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description="Audit The Door fleet work orders issue against live forge state.")
-    parser.add_argument("--repo", default="the-door")
-    parser.add_argument("--issue", type=int, default=75)
-    parser.add_argument("--token-file", default=DEFAULT_TOKEN_PATH)
-    parser.add_argument("--output", default=DEFAULT_OUTPUT)
-    args = parser.parse_args()
-
-    token = Path(args.token_file).read_text(encoding="utf-8").strip()
-    generated_at = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
-    metadata, issue_rows, pr_rows = build_audit(args.repo, args.issue, token)
-    report = render_report(
-        source_issue=args.issue,
-        source_title=metadata["source_title"],
-        generated_at=generated_at,
-        claimed_open_issues=metadata["claimed_open_issues"],
-        claimed_open_prs=metadata["claimed_open_prs"],
-        live_open_issues=metadata["live_open_issues"],
-        live_open_prs=metadata["live_open_prs"],
-        issue_rows=issue_rows,
-        pr_rows=pr_rows,
-    )
-    output_path = Path(args.output)
-    output_path.parent.mkdir(parents=True, exist_ok=True)
-    output_path.write_text(report, encoding="utf-8")
-    print(output_path)
-    return 0
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())

tests/test_crisis_hermes_contract.py

@@ -1,26 +0,0 @@
-"""Regression tests for the crisis integration contract expected by hermes-agent.
-
-Issue #141 names the-door-side shared modules as `crisis.tracker` and
-`crisis.bridge`.  Keep those import paths available even if the canonical
-implementation lives in `session_tracker.py` and `gateway.py`.
-"""
-
-import importlib
-
-
-def test_crisis_tracker_module_exports_session_tracker_contract():
-    tracker = importlib.import_module("crisis.tracker")
-    session_tracker = importlib.import_module("crisis.session_tracker")
-
-    assert tracker.CrisisSessionTracker is session_tracker.CrisisSessionTracker
-    assert tracker.SessionState is session_tracker.SessionState
-    assert tracker.check_crisis_with_session is session_tracker.check_crisis_with_session
-
-
-def test_crisis_bridge_module_exports_gateway_contract():
-    bridge = importlib.import_module("crisis.bridge")
-    gateway = importlib.import_module("crisis.gateway")
-
-    assert bridge.check_crisis is gateway.check_crisis
-    assert bridge.get_system_prompt is gateway.get_system_prompt
-    assert bridge.format_gateway_response is gateway.format_gateway_response

tests/test_crisis_metrics.py

@@ -1,117 +1,99 @@
-"""
-Tests for crisis/metrics.py — Aggregate crisis metrics.
-"""
+"""Tests for privacy-preserving crisis metrics aggregation (issue #37)."""
+
+from __future__ import annotations
 
 import json
 import os
-import shutil
-import tempfile
-import unittest
-from pathlib import Path
-
+import pathlib
 import sys
-sys.path.insert(0, str(Path(__file__).parent.parent))
+import unittest
 
-from crisis.metrics import CrisisMetrics, SessionMetrics, AggregateMetrics
+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 TestCrisisMetrics(unittest.TestCase):
-    def setUp(self):
-        self.tmpdir = tempfile.mkdtemp()
-        self.metrics = CrisisMetrics(Path(self.tmpdir))
-
-    def tearDown(self):
-        shutil.rmtree(self.tmpdir)
-
-    def test_record_session_creates_file(self):
-        sm = SessionMetrics(
-            timestamp=1700000000,
-            current_level="LOW",
-            peak_level="MEDIUM",
-            message_count=5,
-            was_escalating=True,
-            was_deescalating=False,
-            escalation_rate=0.5,
+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.metrics.record_session(sm)
+        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"])
 
-        files = list(Path(self.tmpdir).glob("*.jsonl"))
-        self.assertEqual(len(files), 1)
 
-    def test_record_session_writes_jsonl(self):
-        sm = SessionMetrics(
-            timestamp=1700000000,
-            current_level="HIGH",
-            peak_level="CRITICAL",
-            message_count=10,
-            was_escalating=True,
-            was_deescalating=False,
-            escalation_rate=1.0,
-            triggered_overlay=True,
-            showed_988=True,
+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.metrics.record_session(sm)
-
-        files = list(Path(self.tmpdir).glob("*.jsonl"))
-        with open(files[0]) as f:
-            data = json.loads(f.readline())
-        self.assertEqual(data['peak_level'], 'CRITICAL')
-        self.assertTrue(data['triggered_overlay'])
-
-    def test_get_summary_empty(self):
-        agg = self.metrics.get_summary(days=7)
-        self.assertEqual(agg.total_sessions, 0)
-        self.assertEqual(agg.total_messages, 0)
-
-    def test_get_summary_with_data(self):
-        for level in ["LOW", "MEDIUM", "HIGH"]:
-            sm = SessionMetrics(
-                timestamp=1700000000,
-                current_level=level,
-                peak_level=level,
-                message_count=3,
-                was_escalating=level != "LOW",
-                was_deescalating=False,
-                escalation_rate=0.5,
-            )
-            self.metrics.record_session(sm)
-
-        agg = self.metrics.get_summary(days=1)
-        self.assertEqual(agg.total_sessions, 3)
-        self.assertEqual(agg.total_messages, 9)
-        self.assertEqual(agg.escalating_sessions, 2)
-
-    def test_get_report_returns_string(self):
-        sm = SessionMetrics(
-            timestamp=1700000000,
-            current_level="LOW",
-            peak_level="LOW",
-            message_count=5,
-            was_escalating=False,
-            was_deescalating=False,
-            escalation_rate=0.0,
-        )
-        self.metrics.record_session(sm)
-
-        report = self.metrics.get_report(days=1)
-        self.assertIn("CRISIS METRICS REPORT", report)
-        self.assertIn("Sessions:", report)
-
-    def test_get_json_returns_valid(self):
-        sm = SessionMetrics(
-            timestamp=1700000000,
-            current_level="MEDIUM",
-            peak_level="MEDIUM",
-            message_count=3,
-            was_escalating=False,
-            was_deescalating=False,
-            escalation_rate=0.0,
-        )
-        self.metrics.record_session(sm)
-
-        json_str = self.metrics.get_json(days=1)
-        data = json.loads(json_str)
-        self.assertEqual(data['total_sessions'], 1)
+        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__":

tests/test_crisis_overlay_keyboard_navigation.py

@@ -1,54 +0,0 @@
-import pathlib
-
-from playwright.sync_api import sync_playwright
-
-
-ROOT = pathlib.Path(__file__).resolve().parents[1]
-INDEX_HTML = ROOT / 'index.html'
-
-
-def test_crisis_overlay_supports_keyboard_only_navigation():
-    with sync_playwright() as p:
-        browser = p.chromium.launch(headless=True)
-        page = browser.new_page()
-        try:
-            page.goto(INDEX_HTML.as_uri())
-            page.evaluate(
-                """
-                () => {
-                  window.fetch = () => Promise.reject(new Error('test fetch blocked'));
-                  window.alert = () => {};
-                }
-                """
-            )
-
-            page.fill('#msg-input', "I'm going to kill myself tonight")
-            page.press('#msg-input', 'Enter')
-            page.wait_for_function("document.getElementById('crisis-overlay').classList.contains('active')")
-
-            assert page.evaluate("document.activeElement.classList.contains('overlay-call')") is True
-
-            page.evaluate(
-                """
-                () => {
-                  const btn = document.getElementById('overlay-dismiss-btn');
-                  btn.disabled = false;
-                  btn.textContent = 'Continue to chat';
-                }
-                """
-            )
-
-            page.keyboard.press('Tab')
-            assert page.evaluate("document.activeElement.id") == 'overlay-dismiss-btn'
-
-            page.keyboard.press('Tab')
-            assert page.evaluate("document.activeElement.classList.contains('overlay-call')") is True
-
-            page.keyboard.press('Shift+Tab')
-            assert page.evaluate("document.activeElement.id") == 'overlay-dismiss-btn'
-
-            page.keyboard.press('Escape')
-            page.wait_for_function("!document.getElementById('crisis-overlay').classList.contains('active')")
-            assert page.evaluate("document.activeElement.id") == 'msg-input'
-        finally:
-            browser.close()

tests/test_crisis_overlay_rate_limit.py

@@ -1,53 +0,0 @@
-import pathlib
-import re
-import unittest
-
-ROOT = pathlib.Path(__file__).resolve().parents[1]
-INDEX_HTML = ROOT / 'index.html'
-
-
-class TestCrisisOverlayRateLimit(unittest.TestCase):
-    @classmethod
-    def setUpClass(cls):
-        cls.html = INDEX_HTML.read_text()
-
-    def test_overlay_has_ten_minute_cooldown_constant(self):
-        self.assertRegex(
-            self.html,
-            r"CRISIS_OVERLAY_COOLDOWN_MS\s*=\s*10\s*\*\s*60\s*\*\s*1000",
-            'Expected a 10-minute crisis overlay cooldown constant.',
-        )
-
-    def test_show_overlay_suppresses_repeat_with_logging(self):
-        self.assertRegex(
-            self.html,
-            r"function\s+logCrisisOverlayEvent\s*\(",
-            'Expected a crisis overlay event logger.',
-        )
-        self.assertRegex(
-            self.html,
-            r"if\s*\(!forceOpen\s*&&\s*Date\.now\(\)\s*-\s*lastShownAt\s*<\s*CRISIS_OVERLAY_COOLDOWN_MS\)",
-            'Expected showOverlay to suppress repeated auto-displays inside the cooldown window.',
-        )
-        self.assertRegex(
-            self.html,
-            r"logCrisisOverlayEvent\('suppressed'",
-            'Expected suppressed overlay attempts to be logged.',
-        )
-
-    def test_manual_crisis_resources_button_exists_and_bypasses_cooldown(self):
-        self.assertIn('id="crisis-resources-btn"', self.html)
-        self.assertRegex(
-            self.html,
-            r"function\s+openCrisisResources\s*\(",
-            'Expected a manual crisis resources opener.',
-        )
-        self.assertRegex(
-            self.html,
-            r"crisisResourcesBtn\.addEventListener\('click',\s*function\(\)\s*\{\s*openCrisisResources\(\);",
-            'Expected the footer button to wire into openCrisisResources().',
-        )
-
-
-if __name__ == '__main__':
-    unittest.main()

tests/test_crisis_synthesizer.py

@@ -1,111 +0,0 @@
-"""Tests for evolution/crisis_synthesizer.py (issue #36)."""
-
-from __future__ import annotations
-
-import importlib.util
-import json
-import pathlib
-import sys
-import tempfile
-import unittest
-
-ROOT = pathlib.Path(__file__).resolve().parents[1]
-SCRIPT = ROOT / 'evolution' / 'crisis_synthesizer.py'
-
-spec = importlib.util.spec_from_file_location('crisis_synthesizer', str(SCRIPT))
-mod = importlib.util.module_from_spec(spec)
-sys.modules['crisis_synthesizer'] = mod
-spec.loader.exec_module(mod)
-
-
-class TestCrisisSynthesizerEvent(unittest.TestCase):
-    def test_build_interaction_event_is_privacy_preserving(self):
-        event = mod.build_interaction_event(
-            level='CRITICAL',
-            indicators=['want_to_die', 'no_way_out'],
-            response_given='guardian',
-            continued_conversation=True,
-            false_positive=False,
-            now=1700000000,
-        )
-        self.assertEqual(event['timestamp'], 1700000000)
-        self.assertEqual(event['level'], 'CRITICAL')
-        self.assertEqual(event['response_given'], 'guardian')
-        self.assertTrue(event['continued_conversation'])
-        self.assertFalse(event['false_positive'])
-        self.assertEqual(event['indicators'], ['want_to_die', 'no_way_out'])
-        for forbidden in ['text', 'message', 'content', 'ip', 'session_id', 'user_id']:
-            self.assertNotIn(forbidden, event)
-
-
-class TestCrisisSynthesizerStorage(unittest.TestCase):
-    def test_append_and_load_events_round_trip(self):
-        with tempfile.TemporaryDirectory() as tmp:
-            log_path = pathlib.Path(tmp) / 'crisis-events.jsonl'
-            mod.append_interaction_event(
-                log_path,
-                level='HIGH',
-                indicators=['hopeless'],
-                response_given='companion',
-                continued_conversation=False,
-                false_positive=True,
-                now=1700000100,
-            )
-            events = mod.load_interaction_events(log_path)
-            self.assertEqual(len(events), 1)
-            self.assertEqual(events[0]['level'], 'HIGH')
-            self.assertEqual(events[0]['indicators'], ['hopeless'])
-
-
-class TestCrisisSynthesizerSummary(unittest.TestCase):
-    def test_weekly_report_contains_required_metrics(self):
-        events = [
-            mod.build_interaction_event('CRITICAL', ['want_to_die'], 'guardian', True, False, now=1700000000),
-            mod.build_interaction_event('HIGH', ['hopeless'], 'companion', False, True, now=1700000100),
-            mod.build_interaction_event('LOW', ['rough_day'], 'friend', False, False, now=1700000200),
-            mod.build_interaction_event('CRITICAL', ['want_to_die'], 'guardian', False, False, now=1700000300),
-            mod.build_interaction_event('NONE', [], 'friend', False, False, now=1700000400),
-        ]
-        summary = mod.build_weekly_report(events, now=1700000500, window_days=7)
-        self.assertEqual(summary['detections_per_level']['CRITICAL'], 2)
-        self.assertEqual(summary['detections_per_level']['HIGH'], 1)
-        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'], 0.25)
-        self.assertEqual(summary['most_common_keywords'][0]['keyword'], 'want_to_die')
-        self.assertEqual(summary['most_common_keywords'][0]['count'], 2)
-
-
-class TestCrisisSynthesizerSuggestions(unittest.TestCase):
-    def test_suggests_weight_adjustments_from_interactions(self):
-        events = []
-        for ts in range(3):
-            events.append(mod.build_interaction_event('CRITICAL', ['want_to_die'], 'guardian', True, False, now=1700000000 + ts))
-        for ts in range(3):
-            events.append(mod.build_interaction_event('LOW', ['rough_day'], 'friend', False, True, now=1700000100 + ts))
-        suggestions = mod.suggest_keyword_adjustments(events, min_observations=3)
-        by_keyword = {s['keyword']: s for s in suggestions}
-        self.assertEqual(by_keyword['want_to_die']['suggested_adjustment'], 'raise_weight')
-        self.assertEqual(by_keyword['rough_day']['suggested_adjustment'], 'lower_weight')
-
-
-class TestCrisisSynthesizerRendering(unittest.TestCase):
-    def test_render_weekly_report_outputs_json(self):
-        summary = {
-            'detections_per_level': {'NONE': 0, 'LOW': 1, 'MEDIUM': 0, 'HIGH': 0, 'CRITICAL': 0},
-            'most_common_keywords': [{'keyword': 'rough_day', 'count': 1}],
-            'false_positive_estimate': 0.0,
-            'continued_after_intervention': 0,
-            'keyword_weight_suggestions': [],
-            'window_days': 7,
-            'total_events': 1,
-        }
-        rendered = mod.render_weekly_report(summary)
-        parsed = json.loads(rendered)
-        self.assertEqual(parsed['window_days'], 7)
-        self.assertEqual(parsed['most_common_keywords'][0]['keyword'], 'rough_day')
-
-
-if __name__ == '__main__':
-    unittest.main()

tests/test_crisis_synthesizer_integration.py

@@ -1,90 +0,0 @@
-"""Regression tests for crisis_synthesizer integration (issue #121)."""
-
-from __future__ import annotations
-
-import json
-import os
-from unittest.mock import Mock, patch
-
-from crisis_detector import CrisisResult
-from crisis_responder import CrisisResponder
-from crisis.synthesizer_integration import CrisisSynthesizerIntegration
-from evolution.crisis_synthesizer import load_interaction_events
-
-
-def _make_detection(level: str, keywords: list[str]) -> CrisisResult:
-    return CrisisResult(risk_level=level, matched_keywords=keywords, context=[], score=0.9)
-
-
-def test_responder_auto_logs_anonymized_event(tmp_path):
-    integration = CrisisSynthesizerIntegration(enabled=True, log_dir=tmp_path)
-    responder = CrisisResponder(synth_integration=integration, session_id="session-1", async_synth_logging=False)
-
-    detection = _make_detection("HIGH", ["hopeless", "can't go on"])
-    response = responder.respond(detection)
-
-    log_path = tmp_path / "events.jsonl"
-    lines = log_path.read_text(encoding="utf-8").splitlines()
-    assert len(lines) == 1
-    event = json.loads(lines[0])
-    assert event["level"] == "HIGH"
-    assert event["matched_keywords"] == ["hopeless", "can't go on"]
-    assert event["response_type"] == response.risk_level
-    assert isinstance(event["timestamp"], float)
-    assert event["user_continued"] is False
-    assert event["session_hash"]
-    assert "message" not in event
-    assert "session_id" not in event
-    assert log_path.stat().st_mode & 0o777 == 0o600
-
-
-
-def test_next_non_crisis_message_marks_user_continued_append_only(tmp_path):
-    integration = CrisisSynthesizerIntegration(enabled=True, log_dir=tmp_path)
-    responder = CrisisResponder(synth_integration=integration, session_id="session-1", async_synth_logging=False)
-
-    responder.respond(_make_detection("CRITICAL", ["want to die"]))
-    log_path = tmp_path / "events.jsonl"
-    before_size = log_path.stat().st_size
-
-    responder.respond(_make_detection("NONE", []))
-    after_size = log_path.stat().st_size
-
-    assert after_size > before_size
-
-    raw_lines = log_path.read_text(encoding="utf-8").splitlines()
-    assert len(raw_lines) == 2
-    continuation = json.loads(raw_lines[1])
-    assert continuation["event_type"] == "continuation"
-    assert continuation["user_continued"] is True
-
-    folded_events = load_interaction_events(log_path)
-    assert len(folded_events) == 1
-    assert folded_events[0]["continued_conversation"] is True
-    assert folded_events[0]["user_continued"] is True
-
-
-
-def test_env_var_can_disable_logging_entirely(tmp_path):
-    with patch.dict(os.environ, {"CRISIS_SYNTH_ENABLED": "0"}, clear=False):
-        integration = CrisisSynthesizerIntegration(enabled=None, log_dir=tmp_path)
-        responder = CrisisResponder(synth_integration=integration, session_id="session-1", async_synth_logging=False)
-        responder.respond(_make_detection("HIGH", ["hopeless"]))
-
-    assert not (tmp_path / "events.jsonl").exists()
-
-
-@patch("crisis_responder.threading.Thread")
-def test_async_logging_dispatches_to_background_thread(thread_cls):
-    integration = Mock()
-    integration.enabled = True
-    integration.log_crisis_event = Mock()
-    integration.log_user_continued = Mock()
-
-    responder = CrisisResponder(synth_integration=integration, session_id="session-1", async_synth_logging=True)
-    responder.respond(_make_detection("HIGH", ["hopeless"]))
-
-    thread_cls.assert_called_once()
-    _, kwargs = thread_cls.call_args
-    assert kwargs["daemon"] is True
-    thread_cls.return_value.start.assert_called_once()

tests/test_fleet_work_orders_audit.py

@@ -1,100 +0,0 @@
-import importlib.util
-from pathlib import Path
-
-
-ROOT = Path(__file__).resolve().parents[1]
-SCRIPT_PATH = ROOT / "scripts" / "fleet_work_orders_audit.py"
-REPORT_PATH = ROOT / "reports" / "2026-04-17-the-door-fleet-work-orders-audit.md"
-
-
-def _load_module():
-    assert SCRIPT_PATH.exists(), f"missing {SCRIPT_PATH.relative_to(ROOT)}"
-    spec = importlib.util.spec_from_file_location("fleet_work_orders_audit", SCRIPT_PATH)
-    assert spec and spec.loader
-    module = importlib.util.module_from_spec(spec)
-    spec.loader.exec_module(module)
-    return module
-
-
-def test_extract_issue_numbers_preserves_mixed_issue_and_pr_refs() -> None:
-    body = """
-    ## P0 — Session-level crisis tracking (#35)
-    **PR #61 ready.**
-    ## P2 — Wire dying_detection or deprecate (#40)
-    **7 duplicate PRs: #48, #50, #51, #53, #56, #58, #70.**
-    """
-
-    mod = _load_module()
-
-    assert mod.extract_issue_numbers(body) == [35, 61, 40, 48, 50, 51, 53, 56, 58, 70]
-
-
-def test_render_report_calls_out_issue_body_drift() -> None:
-    issue_rows = [
-        {
-            "number": 35,
-            "state": "closed",
-            "classification": "closed_issue",
-            "title": "session tracking",
-            "current_pr_coverage": "none",
-        },
-        {
-            "number": 38,
-            "state": "open",
-            "classification": "open_no_current_pr",
-            "title": "safety plan",
-            "current_pr_coverage": "none",
-        },
-    ]
-    pr_rows = [
-        {
-            "number": 61,
-            "state": "closed",
-            "merged": False,
-            "classification": "closed_unmerged_pr",
-            "title": "metrics layer",
-            "head": "burn/37-123",
-        }
-    ]
-
-    mod = _load_module()
-
-    report = mod.render_report(
-        source_issue=75,
-        source_title="TRIAGE: The Door - Fleet Work Orders (2026-04-09)",
-        generated_at="2026-04-17T04:00:00Z",
-        claimed_open_issues=13,
-        claimed_open_prs=24,
-        live_open_issues=5,
-        live_open_prs=0,
-        issue_rows=issue_rows,
-        pr_rows=pr_rows,
-    )
-
-    assert "## Source Snapshot" in report
-    assert "## Live Summary" in report
-    assert "## Issue Body Drift" in report
-    assert "13" in report and "24" in report
-    assert "#38" in report
-    assert "open_no_current_pr" in report
-    assert "#61" in report
-    assert "closed_unmerged_pr" in report
-    assert "## Referenced Issue Snapshot" in report
-    assert "## Referenced PR Snapshot" in report
-    assert "## Recommended Next Actions" in report
-
-
-def test_committed_work_orders_audit_exists_with_required_sections() -> None:
-    text = REPORT_PATH.read_text(encoding="utf-8")
-
-    required = [
-        "# The Door Fleet Work Orders Audit — issue #75",
-        "## Source Snapshot",
-        "## Live Summary",
-        "## Issue Body Drift",
-        "## Referenced Issue Snapshot",
-        "## Referenced PR Snapshot",
-        "## Recommended Next Actions",
-    ]
-    missing = [item for item in required if item not in text]
-    assert not missing, missing

tests/test_image_screening.py

@@ -1,62 +0,0 @@
-"""Tests for local image crisis screening slice under epic #130."""
-
-import os
-import sys
-import unittest
-
-sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-
-from image_screening import ImageScreeningResult, screen_image_signals
-
-
-class TestImageScreeningResult(unittest.TestCase):
-    def test_to_dict_preserves_core_fields(self):
-        result = ImageScreeningResult(
-            ocr_text="help me",
-            labels=["blood"],
-            visual_flags=["dark_scene"],
-            distress_score=0.8,
-            requires_human_review=True,
-            signals_detected=["direct_self_harm_label:blood"],
-        )
-
-        data = result.to_dict()
-        self.assertEqual(data["ocr_text"], "help me")
-        self.assertEqual(data["labels"], ["blood"])
-        self.assertTrue(data["requires_human_review"])
-
-
-class TestScreenImageSignals(unittest.TestCase):
-    def test_direct_self_harm_labels_trigger_high_risk(self):
-        result = screen_image_signals(
-            labels=["razor blade", "blood droplets"],
-            manual_notes="photo of fresh cuts on forearm",
-        )
-
-        self.assertGreaterEqual(result.distress_score, 0.8)
-        self.assertTrue(result.requires_human_review)
-        self.assertTrue(any("self_harm" in signal for signal in result.signals_detected))
-
-    def test_ocr_text_uses_existing_crisis_detector(self):
-        result = screen_image_signals(
-            ocr_text="I want to kill myself tonight",
-            labels=["handwritten note"],
-        )
-
-        self.assertGreaterEqual(result.distress_score, 0.7)
-        self.assertTrue(result.requires_human_review)
-        self.assertTrue(any(signal.startswith("ocr_crisis_level:") for signal in result.signals_detected))
-
-    def test_neutral_image_stays_low_risk(self):
-        result = screen_image_signals(
-            labels=["dog", "park", "sunlight"],
-            manual_notes="family outing in daylight",
-        )
-
-        self.assertLess(result.distress_score, 0.2)
-        self.assertFalse(result.requires_human_review)
-        self.assertEqual(result.signals_detected, [])
-
-
-if __name__ == "__main__":
-    unittest.main()

tests/test_indicator_dedup.py

@@ -1,50 +0,0 @@
-"""Regression tests for duplicate crisis indicators cleanup (#123)."""
-
-import os
-import re
-import sys
-import unittest
-from pathlib import Path
-
-sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-
-from crisis.detect import detect_crisis
-
-
-ROOT = Path(__file__).resolve().parents[1]
-DETECT_FILE = ROOT / "crisis" / "detect.py"
-
-
-class TestCrisisIndicatorDedup(unittest.TestCase):
-    def _extract_indicator_list(self, name: str) -> set[str]:
-        text = DETECT_FILE.read_text(encoding="utf-8")
-        match = re.search(rf"{name}\s*=\s*\[(.*?)\n\]", text, re.S)
-        self.assertIsNotNone(match, f"{name} list missing")
-        return {
-            line.strip().rstrip(",")
-            for line in match.group(1).splitlines()
-            if line.strip().startswith('r"')
-        }
-
-    def test_high_and_medium_indicator_lists_do_not_overlap(self):
-        high = self._extract_indicator_list("HIGH_INDICATORS")
-        medium = self._extract_indicator_list("MEDIUM_INDICATORS")
-        overlap = high & medium
-        self.assertEqual(set(), overlap, f"duplicate cross-tier patterns found: {sorted(overlap)}")
-
-    def test_removed_duplicates_still_classify_at_high_tier(self):
-        cases = {
-            "I feel hopeless": "HIGH",
-            "I feel trapped": "HIGH",
-            "I feel desperate": "HIGH",
-            "I have no future ahead": "HIGH",
-            "I have given up on myself": "HIGH",
-        }
-        for text, expected in cases.items():
-            with self.subTest(text=text):
-                result = detect_crisis(text)
-                self.assertEqual(expected, result.level)
-
-
-if __name__ == "__main__":
-    unittest.main()

tests/test_safety_plan_chat_header.py

@@ -1,20 +0,0 @@
-from pathlib import Path
-
-INDEX = Path("index.html")
-
-
-def test_chat_header_has_persistent_safety_plan_button():
-    html = INDEX.read_text()
-    assert 'id="chat-header"' in html
-    assert 'id="chat-safety-plan-btn"' in html
-    assert 'aria-label="Open My Safety Plan from chat header"' in html
-    assert 'My Safety Plan' in html
-
-
-def test_chat_header_button_opens_existing_safety_plan_modal():
-    html = INDEX.read_text()
-    assert "var chatSafetyPlanBtn = document.getElementById('chat-safety-plan-btn');" in html
-    assert "chatSafetyPlanBtn.addEventListener('click'" in html
-    assert "function openSafetyPlan(triggerEl)" in html
-    assert "safetyPlanModal.classList.add('active');" in html
-    assert "openSafetyPlan(chatSafetyPlanBtn);" in html