feat: cache offline crisis resources (closes #41)

behavioral_tracker.py

@@ -1,336 +0,0 @@
-"""Behavioral Pattern Detection — crisis risk from usage patterns.
-
-Detects crisis signals from HOW someone uses the system, not just
-what they say. Complements content-based crisis detection.
-
-Behavioral signals:
-- Frequency spike (anxiety/agitation)
-- Frequency drop (withdrawal/isolation)
-- Late-night messaging (2-5 AM)
-- Session length increase (loneliness)
-- Abrupt termination after emotional content
-- Return after long absence
-
-Part of Epic #102 (Multimodal Crisis Detection).
-"""
-
-import logging
-import time
-from collections import defaultdict
-from dataclasses import dataclass, field
-from datetime import datetime, timedelta
-from typing import Any, Dict, List, Optional, Tuple
-
-logger = logging.getLogger(__name__)
-
-
-@dataclass
-class SessionEvent:
-    """A single session interaction."""
-    session_id: str
-    timestamp: float
-    message_length: int
-    is_user: bool = True
-    emotional_content: bool = False
-    terminated_abruptly: bool = False
-
-
-@dataclass
-class BehavioralSignals:
-    """Detected behavioral risk signals."""
-    frequency_change: float = 0.0      # -1 (drop) to +1 (spike) vs baseline
-    is_late_night: bool = False         # 2-5 AM local time
-    session_length_trend: str = "stable"  # increasing/decreasing/stable
-    withdrawal_detected: bool = False   # significant drop in activity
-    return_after_absence: bool = False  # came back after extended absence
-    abrupt_termination: bool = False    # left after emotional content
-    behavioral_score: float = 0.0       # 0-1 aggregate risk
-
-    def to_dict(self) -> Dict[str, Any]:
-        return {
-            "frequency_change": self.frequency_change,
-            "is_late_night": self.is_late_night,
-            "session_length_trend": self.session_length_trend,
-            "withdrawal_detected": self.withdrawal_detected,
-            "return_after_absence": self.return_after_absence,
-            "abrupt_termination": self.abrupt_termination,
-            "behavioral_score": self.behavioral_score,
-        }
-
-
-class BehavioralTracker:
-    """Track behavioral patterns per session/user and detect risk signals.
-
-    Uses a 7-day rolling window for baseline calculation.
-    Thread-safe for concurrent session tracking.
-    """
-
-    # Time window constants
-    LATE_NIGHT_START = 2   # 2 AM
-    LATE_NIGHT_END = 5     # 5 AM
-    BASELINE_WINDOW_DAYS = 7
-    ABSENCE_THRESHOLD_HOURS = 48
-    SPIKE_THRESHOLD = 2.0  # 2x baseline = spike
-    DROP_THRESHOLD = 0.3   # 30% of baseline = withdrawal
-
-    def __init__(self):
-        # session_id -> list of events
-        self._events: Dict[str, List[SessionEvent]] = defaultdict(list)
-        # session_id -> baseline metrics
-        self._baselines: Dict[str, Dict[str, float]] = {}
-        # session_id -> last activity timestamp
-        self._last_activity: Dict[str, float] = {}
-        # Global baseline (all sessions)
-        self._global_baseline: Dict[str, float] = {
-            "avg_messages_per_hour": 5.0,
-            "avg_session_length_min": 15.0,
-            "avg_message_length": 200.0,
-        }
-
-    def record(
-        self,
-        session_id: str,
-        timestamp: Optional[float] = None,
-        message_length: int = 0,
-        is_user: bool = True,
-        emotional_content: bool = False,
-        terminated_abruptly: bool = False,
-    ) -> None:
-        """Record a session event."""
-        if timestamp is None:
-            timestamp = time.time()
-
-        event = SessionEvent(
-            session_id=session_id,
-            timestamp=timestamp,
-            message_length=message_length,
-            is_user=is_user,
-            emotional_content=emotional_content,
-            terminated_abruptly=terminated_abruptly,
-        )
-
-        self._events[session_id].append(event)
-        self._last_activity[session_id] = timestamp
-
-        # Periodically update baseline
-        if len(self._events[session_id]) % 20 == 0:
-            self._update_baseline(session_id)
-
-    def get_risk_signals(self, session_id: str) -> BehavioralSignals:
-        """Analyze behavioral patterns and return risk signals."""
-        events = self._events.get(session_id, [])
-        if not events:
-            return BehavioralSignals()
-
-        signals = BehavioralSignals()
-        now = time.time()
-
-        # 1. Frequency analysis
-        signals.frequency_change = self._analyze_frequency(session_id, now)
-
-        # 2. Late-night detection
-        signals.is_late_night = self._is_late_night(events[-1].timestamp)
-
-        # 3. Session length trend
-        signals.session_length_trend = self._analyze_session_length_trend(session_id)
-
-        # 4. Withdrawal detection
-        signals.withdrawal_detected = signals.frequency_change < -0.5
-
-        # 5. Return after absence
-        signals.return_after_absence = self._detect_return_after_absence(session_id, now)
-
-        # 6. Abrupt termination
-        signals.abrupt_termination = self._detect_abrupt_termination(events)
-
-        # 7. Aggregate behavioral score
-        signals.behavioral_score = self._compute_behavioral_score(signals)
-
-        return signals
-
-    def _analyze_frequency(self, session_id: str, now: float) -> float:
-        """Compare recent frequency to baseline. Returns -1 to +1."""
-        events = self._events.get(session_id, [])
-        if len(events) < 3:
-            return 0.0
-
-        # Count messages in last hour
-        one_hour_ago = now - 3600
-        recent_count = sum(1 for e in events if e.timestamp > one_hour_ago and e.is_user)
-
-        # Get baseline
-        baseline = self._get_baseline(session_id)
-        baseline_rate = baseline.get("avg_messages_per_hour", 5.0)
-
-        if baseline_rate <= 0:
-            return 0.0
-
-        ratio = recent_count / baseline_rate
-        # Map to -1..+1: 0.5x = -0.5, 1x = 0, 2x = +1
-        if ratio < 1.0:
-            return max(-1.0, (ratio - 1.0))
-        else:
-            return min(1.0, (ratio - 1.0) / 2.0)
-
-    def _is_late_night(self, timestamp: float) -> bool:
-        """Check if timestamp falls in the 2-5 AM window."""
-        dt = datetime.fromtimestamp(timestamp)
-        hour = dt.hour
-        return self.LATE_NIGHT_START <= hour < self.LATE_NIGHT_END
-
-    def _analyze_session_length_trend(self, session_id: str) -> str:
-        """Determine if session lengths are increasing, decreasing, or stable."""
-        events = self._events.get(session_id, [])
-        if len(events) < 10:
-            return "stable"
-
-        # Split events into first half and second half
-        mid = len(events) // 2
-        first_half = events[:mid]
-        second_half = events[mid:]
-
-        # Calculate session spans (first to last message)
-        if not first_half or not second_half:
-            return "stable"
-
-        first_span = first_half[-1].timestamp - first_half[0].timestamp
-        second_span = second_half[-1].timestamp - second_half[0].timestamp
-
-        if second_span > first_span * 1.3:
-            return "increasing"
-        elif second_span < first_span * 0.7:
-            return "decreasing"
-        return "stable"
-
-    def _detect_return_after_absence(self, session_id: str, now: float) -> bool:
-        """Detect if this session started after a long absence."""
-        events = self._events.get(session_id, [])
-        if len(events) < 2:
-            return False
-
-        # Check gap between current session and previous
-        last_activity = self._last_activity.get(session_id, 0)
-        if last_activity <= 0:
-            return False
-
-        # Find previous session's last event (excluding current session)
-        prev_events = [e for e in events[:-10] if e.timestamp < now - 3600]
-        if not prev_events:
-            return False
-
-        gap_hours = (now - prev_events[-1].timestamp) / 3600
-        return gap_hours >= self.ABSENCE_THRESHOLD_HOURS
-
-    def _detect_abrupt_termination(self, events: List[SessionEvent]) -> bool:
-        """Detect if the last few messages had emotional content and then stopped."""
-        if len(events) < 3:
-            return False
-
-        # Check last 5 events
-        recent = events[-5:]
-        has_emotional = any(e.emotional_content for e in recent)
-        last_was_user = recent[-1].is_user if recent else False
-        last_was_short = recent[-1].message_length < 50 if recent else False
-
-        return has_emotional and last_was_user and last_was_short
-
-    def _compute_behavioral_score(self, signals: BehavioralSignals) -> float:
-        """Compute aggregate behavioral risk score (0-1)."""
-        score = 0.0
-        weights = {
-            "frequency_spike": 0.15,
-            "frequency_drop": 0.20,
-            "late_night": 0.10,
-            "session_increasing": 0.10,
-            "withdrawal": 0.20,
-            "return_after_absence": 0.05,
-            "abrupt_termination": 0.20,
-        }
-
-        # Frequency spike (anxiety)
-        if signals.frequency_change > 0.5:
-            score += weights["frequency_spike"] * min(signals.frequency_change, 1.0)
-
-        # Frequency drop (withdrawal)
-        if signals.frequency_change < -0.3:
-            score += weights["frequency_drop"] * min(abs(signals.frequency_change), 1.0)
-
-        # Late night
-        if signals.is_late_night:
-            score += weights["late_night"]
-
-        # Session length increasing
-        if signals.session_length_trend == "increasing":
-            score += weights["session_increasing"]
-
-        # Withdrawal
-        if signals.withdrawal_detected:
-            score += weights["withdrawal"]
-
-        # Return after absence
-        if signals.return_after_absence:
-            score += weights["return_after_absence"]
-
-        # Abrupt termination
-        if signals.abrupt_termination:
-            score += weights["abrupt_termination"]
-
-        return min(1.0, score)
-
-    def _get_baseline(self, session_id: str) -> Dict[str, float]:
-        """Get baseline metrics for a session."""
-        if session_id in self._baselines:
-            return self._baselines[session_id]
-        return self._global_baseline
-
-    def _update_baseline(self, session_id: str) -> None:
-        """Update rolling baseline from recent events."""
-        events = self._events.get(session_id, [])
-        if len(events) < 5:
-            return
-
-        # Use last 7 days of events
-        cutoff = time.time() - (self.BASELINE_WINDOW_DAYS * 86400)
-        recent = [e for e in events if e.timestamp > cutoff and e.is_user]
-
-        if not recent:
-            return
-
-        # Calculate metrics
-        time_span_hours = (recent[-1].timestamp - recent[0].timestamp) / 3600
-        if time_span_hours > 0:
-            msgs_per_hour = len(recent) / time_span_hours
-        else:
-            msgs_per_hour = len(recent)
-
-        avg_length = sum(e.message_length for e in recent) / len(recent)
-
-        self._baselines[session_id] = {
-            "avg_messages_per_hour": msgs_per_hour,
-            "avg_message_length": avg_length,
-            "total_messages": len(recent),
-        }
-
-
-# Global singleton for convenience
-_global_tracker = BehavioralTracker()
-
-
-def record_event(
-    session_id: str,
-    timestamp: Optional[float] = None,
-    message_length: int = 0,
-    is_user: bool = True,
-    emotional_content: bool = False,
-    terminated_abruptly: bool = False,
-) -> None:
-    """Record an event to the global behavioral tracker."""
-    _global_tracker.record(
-        session_id, timestamp, message_length,
-        is_user, emotional_content, terminated_abruptly,
-    )
-
-
-def get_risk_signals(session_id: str) -> BehavioralSignals:
-    """Get behavioral risk signals for a session."""
-    return _global_tracker.get_risk_signals(session_id)

crisis/detect.py

@@ -51,13 +51,13 @@ HIGH_INDICATORS = [
     r"\bwish\s+I\s+(?:was|were)\s+(?:dead|gone|never\s+born)\b",
     r"\bdon'?t\s+matter\s+if\s+I\s+exist\b",
     r"\bno\s+one\s+would\s+(?:care|miss)\b",
-    r"\bworld\s+would?\s+be\s+better\s+without\s+me\b",
-    r"\bin\s+so\s+much\s+(?:pain|agony|suffering|torment|anguish)\b",
-    r"\bcan'?t\s+see\s+any\s+(?:point|reason|hope|way)\b",
+    r"\bworld\s+would?\s+be\s+better\s+without\b",
+    r"\bin\s+so\s+much\s+(?:pain|agony|suffering|torment)\b",
+    r"\bcan'?t\s+see\s+any\s+(?:point|reason)\b",
     r"\bescape\s+from\s*this",
     r"\bjust\s+want\s+it\s+to\s+stop\b",
+    r"\btrapped\s+(?:in\s+(?:my|this|a\s+dark)|and\s+can'?t\s+escape)\b",
     r"\bnothing\s+left\s+(?:to\s+(?:live\s+for|hope\s+for|give)|inside)\b",
-    r"\bdisappeared\s+forever\b",
     # Contextual despair phrases (from crisis_detector.py legacy)
     r"\bfeel(?:s|ing)?\s+(?:so\s+)?hopeless\b",
     r"\beverything\s+is\s+hopeless\b",
@@ -68,8 +68,6 @@ HIGH_INDICATORS = [
     r"\bno\s*hope\s+(?:left|remaining)\b",
     r"\bno\s*way\s*out\b",
     r"\bfeel(?:s|ing)?\s+trapped\b",
-    r"\btrapped\s+in\s+this\s+(?:situation|life|pain|darkness|hell)\b",
-    r"\btrapped\s+and\s+can'?t\s+escape\b",
     r"\bdesperate\s+(?:for\s+)?help\b",
     r"\bfeel(?:s|ing)?\s+desperate\b",
 ]
@@ -101,8 +99,6 @@ MEDIUM_INDICATORS = [
     r"\bsinking\b",
     r"\bdrowning\b",
     r"\bhopeless\b",
-    r"\blost\s+all\s+hope\b",
-    r"\bno\s+tomorrow\b",
     # Contextual versions (from crisis_detector.py legacy)
     r"\bfeel(?:s|ing)?\s+(?:so\s+)?worthless\b",
     r"\bfeel(?:s|ing)?\s+(?:so\s+)?hopeless\b",
@@ -116,7 +112,7 @@ MEDIUM_INDICATORS = [
 LOW_INDICATORS = [
     r"\bunhappy\b",
     r"\bdown\b",
-    r"\btough\s*(?:time|day|week)\b",
+    r"\btough\s*time\b",
     r"\brough\s+(?:day|week|patch)\b",
     r"\bstressed\b",
     r"\bburnout\b",
@@ -126,8 +122,6 @@ LOW_INDICATORS = [
     r"\btired\b",
     r"\bsad\b",
     r"\bupset\b",
-    r"\blonely\b",
-    r"\banxious?\b",
     r"\bnot\s*(?:good|great|okay)\b",
     r"\bthings\s*are\s*hard\b",
     r"\bstruggling\b",

dying_detection/__init__.py

@@ -1,34 +1,31 @@
 """
-DEPRECATED — Use crisis.detect instead.
+When a Man Is Dying — Despair/Suicide Detection System
 
-This module is a thin wrapper around crisis.detect for backward compatibility.
-All unique patterns have been merged into crisis/detect.py (see issue #40).
+Standalone detection module that parses incoming text for
+despair and suicide indicators, classifies into tiers,
+and returns structured response with recommended actions.
 
-This module will be removed in a future release.
+Tiers:
+  LOW      — General sadness, stress, difficult times
+  MEDIUM   — Hopelessness, isolation, worthlessness
+  HIGH     — Active despair, mentions of death, "can't go on"
+  CRITICAL — Imminent risk, explicit intent, plan, method
+
+Integration:
+  Designed to work with crisis/ module from PR #4.
+  When crisis/ is available, uses it as the detection backend.
+  Falls back to internal detection when crisis/ is not present.
 """
 
-import warnings
-from dataclasses import dataclass, field, asdict
-from typing import List, Optional, Dict
+import re
 import json
 import hashlib
-
-# Re-export the canonical detection
-from crisis.detect import detect_crisis, CrisisDetectionResult
-
-# Issue deprecation warning on import
-warnings.warn(
-    "dying_detection is deprecated. Use 'from crisis.detect import detect_crisis' instead. "
-    "All patterns have been consolidated into crisis/detect.py. "
-    "See issue #40.",
-    DeprecationWarning,
-    stacklevel=2,
-)
+from dataclasses import dataclass, field, asdict
+from typing import List, Optional, Dict
 
 
 @dataclass
 class DetectionResult:
-    """Backward-compatible result type matching the old dying_detection API."""
     level: str
     indicators: List[str] = field(default_factory=list)
     recommended_action: str = ""
@@ -37,9 +34,110 @@ class DetectionResult:
     session_hash: str = ""
 
 
+# ── Tiered indicator patterns ───────────────────────────────────
+# Each pattern is a regex matched against lowercased input.
+
+CRITICAL_PATTERNS = [
+    (r"\bkill\s*(my)?self\b", "explicit self-harm intent"),
+    (r"\bsuicid(?:al|ed|e)\b", "suicide reference"),
+    (r"\bend\s*(my)?\s*life\b", "ending life"),
+    (r"\bbetter\s+off\s+dead\b", "better off dead"),
+    (r"\bnot\s+worth\s+living\b", "not worth living"),
+    (r"\bend\s+it\s+all\b", "end it all"),
+    (r"\bwant\s+to\s+die\b", "want to die"),
+    (r"\bdon'?t\s+want\s+to\s+live\b", "don't want to live"),
+    (r"\bcan'?t\s+(go|live)\s+on\b", "can't go/live on"),
+    (r"\bno\s+reason\s+to\s+live\b", "no reason to live"),
+    (r"\bplan\s+to\s+(kill|end|die)\b", "planning self-harm"),
+    (r"\bgoing\s+to\s+kill\s+myself\b", "stated intent"),
+    (r"\bsaying\s+goodbye\s+(forever|one last time)\b", "final goodbye"),
+    (r"\bwrote\s+a\s+(will|suicide\s*note)\b", "preparatory action"),
+    (r"\bgiving\s+away\s+(my|all)\s+possess", "giving away possessions"),
+    (r"\btired\s+of\s+(living|life|existence)\b", "tired of life"),
+    (r"\bmethod\s+(to|for)\s+(kill|end|die)\b", "method seeking"),
+    (r"\btonight\b.*\b(die|kill|end|suicid)", "immediate timeframe + intent"),
+    (r"\b(die|kill|end)\b.*\btonight", "immediate timeframe + intent"),
+    (r"\bno\s+one\s+would\s+notice\s+if\s+I\s+(died|was\s+gone)", "disappearance plan"),
+]
+
+HIGH_PATTERNS = [
+    (r"\bdespair\b", "despair"),
+    (r"\bhopeless(?:ness)?\b", "hopelessness"),
+    (r"\bcan'?t\s+take\s+this\s+anymore\b", "can't take it"),
+    (r"\bdon'?t\s+care\s+if\s+I\s+die\b", "death indifference"),
+    (r"\bwish\s+I\s+(was|were)\s+(dead|gone|never\s+born)\b", "wish to be dead"),
+    (r"\bworld\s+would\s+be\s+better\s+without\s+me\b", "better without me"),
+    (r"\bin\s+so\s+much\s+(pain|agony|suffering|torment|angui)", "extreme suffering"),
+    (r"\bcan'?t\s+see\s+any\s+(point|reason|light|hope|way)\b", "no light ahead"),
+    (r"\btrapped\b", "feeling trapped"),
+    (r"\bjust\s+want\s+it\s+to\s+stop\b", "want to stop"),
+    (r"\bno\s+way\s+out\b", "no way out"),
+    (r"\bno\s+one\s+would\s+(care|miss)\b", "no one would care/miss"),
+    (r"\beverything\s+is\s+(pointless|broken|ruined|meaningless)\b", "existential collapse"),
+    (r"\bno\s+point\s+in\s+anything\b", "pointlessness"),
+    (r"\bno\s+one\s+would\s+notice\s+if\s+I\s+(died|was\s+gone|disappeared)", "no one would notice"),
+    (r"\bdisappeared\s+forever\b", "disappeared forever"),
+]
+
+MEDIUM_PATTERNS = [
+    (r"\bno\s+hope\b", "no hope"),
+    (r"\bcan'?t\s+go\s+on\b", "can't go on"),
+    (r"\bcan'?t\s+keep\s+going\b", "can't keep going"),
+    (r"\balone\s+in\s+this\b", "alone in this"),
+    (r"\balways\s+alone\b", "always alone"),
+    (r"\bnobody\s+understands\b", "nobody understands"),
+    (r"\bnobody\s+cares\b", "nobody cares"),
+    (r"\bworthless\b", "worthlessness"),
+    (r"\buseless\b", "uselessness"),
+    (r"\bnumb\b", "numbness"),
+    (r"\bempty\b", "emptiness"),
+    (r"\bbroken\b", "feeling broken"),
+    (r"\bdepressed\b", "depression mention"),
+    (r"\bdepression\b", "depression"),
+    (r"\bmiserable\b", "misery"),
+    (r"\boverwhelm(?:ed|ing)\b", "overwhelmed"),
+    (r"\bcannot\s+cope\b", "cannot cope"),
+    (r"\b(drowning|sinking)\b", "drowning/sinking"),
+    (r"\bforgotten\b", "feeling forgotten"),
+    (r"\blost\s+all\s+hope\b", "lost all hope"),
+    (r"\bno\s+future\b", "no future"),
+    (r"\bno\s+tomorrow\b", "no tomorrow"),
+]
+
+LOW_PATTERNS = [
+    (r"\bunhappy\b", "unhappy"),
+    (r"\brough\s+(day|week|patch)\b", "rough time"),
+    (r"\btough\s+(time|day|week)\b", "tough time"),
+    (r"\bstressed\b", "stressed"),
+    (r"\bburnout\b", "burnout"),
+    (r"\bfrustrated\b", "frustrated"),
+    (r"\bthings\s+(are\s+)?hard\b", "things are hard"),
+    (r"\bnot\s+feeling\s+(great|myself|good)\b", "not feeling good"),
+    (r"\bstruggl", "struggling"),
+    (r"\bdown\b", "feeling down"),
+    (r"\bsad\b", "sad"),
+    (r"\bupset\b", "upset"),
+    (r"\blonely\b", "lonely"),
+    (r"\banxious?\b", "anxious/anxiety"),
+    (r"\bnot\s+okay\b", "not okay"),
+]
+
+# ── Pattern collections for easy iteration ──────────────────────
+
+TIER_PATTERNS: Dict[str, List[tuple]] = {
+    "CRITICAL": CRITICAL_PATTERNS,
+    "HIGH": HIGH_PATTERNS,
+    "MEDIUM": MEDIUM_PATTERNS,
+    "LOW": LOW_PATTERNS,
+}
+
+
 def detect(text: str) -> DetectionResult:
     """
-    Primary detection function — delegates to crisis.detect.
+    Primary detection function.
+
+    If the crisis/ module is available, delegate to it.
+    Otherwise, use the internal pattern engine.
 
     Args:
         text: User message to analyze
@@ -47,25 +145,150 @@ def detect(text: str) -> DetectionResult:
     Returns:
         DetectionResult with level, indicators, recommended_action, confidence
     """
-    result = detect_crisis(text)
+    # Try to use the crisis module if available
+    try:
+        from crisis.detect import detect_crisis as _crisis_detect
+        result = _crisis_detect(text)
+        # Map to DetectionResult
+        return DetectionResult(
+            level=result.level,
+            indicators=_describe_indicators(result.level, result.indicators),
+            recommended_action=result.recommended_action,
+            confidence=result.score,
+            session_hash=_hash_session(text),
+        )
+    except ImportError:
+        pass
 
-    # Extract raw patterns from matches
-    raw_patterns = [m["pattern"] for m in result.matches] if result.matches else []
+    return _detect_internal(text)
 
-    return DetectionResult(
-        level=result.level,
-        indicators=result.indicators,
-        recommended_action=result.recommended_action,
-        raw_matched_patterns=raw_patterns,
-        confidence=result.score,
-        session_hash=hashlib.sha256(text.encode()).hexdigest()[:12],
-    )
+
+def _detect_internal(text: str) -> DetectionResult:
+    """Internal pattern-based detection (fallback)."""
+    if not text or not text.strip():
+        return DetectionResult(level="NONE", session_hash=_hash_session(text))
+
+    text_lower = text.lower()
+    all_matches: Dict[str, List[tuple]] = {
+        tier: [] for tier in TIER_PATTERNS
+    }
+
+    for tier, patterns in TIER_PATTERNS.items():
+        for pattern, description in patterns:
+            if re.search(pattern, text_lower):
+                all_matches[tier].append((pattern, description))
+
+    # CRITICAL patterns are the highest priority
+    if all_matches["CRITICAL"]:
+        return DetectionResult(
+            level="CRITICAL",
+            indicators=[desc for _, desc in all_matches["CRITICAL"]],
+            recommended_action=(
+                "INTERRUPT CONVERSATION IMMEDIATELY. "
+                "Ask 'Are you safe right now?' "
+                "Provide 988 Suicide & Crisis Lifeline (call or text 988). "
+                "Provide Crisis Text Line (text HOME to 741741). "
+                "Stay present. Do not disconnect. "
+                "Redirect to professional help. "
+                "This is the most sacred moment."
+            ),
+            raw_matched_patterns=[pat for pat, _ in all_matches["CRITICAL"]],
+            confidence=1.0,
+            session_hash=_hash_session(text),
+        )
+
+    if all_matches["HIGH"]:
+        return DetectionResult(
+            level="HIGH",
+            indicators=[desc for _, desc in all_matches["HIGH"]],
+            recommended_action=(
+                "Show crisis panel prominently. "
+                "Ask about safety directly. "
+                "Surface 988 number and crisis resources. "
+                "Stay present and engaged. Do not rush to fix. "
+                "Monitor closely for escalation."
+            ),
+            raw_matched_patterns=[pat for pat, _ in all_matches["HIGH"]],
+            confidence=0.75,
+            session_hash=_hash_session(text),
+        )
+
+    if all_matches["MEDIUM"]:
+        return DetectionResult(
+            level="MEDIUM",
+            indicators=[desc for _, desc in all_matches["MEDIUM"]],
+            recommended_action=(
+                "Increase warmth and presence. "
+                "Subtly surface help resources. "
+                "Keep conversation anchored in the present. "
+                "Watch for escalation indicators."
+            ),
+            raw_matched_patterns=[pat for pat, _ in all_matches["MEDIUM"]],
+            confidence=0.5,
+            session_hash=_hash_session(text),
+        )
+
+    if all_matches["LOW"]:
+        return DetectionResult(
+            level="LOW",
+            indicators=[desc for _, desc in all_matches["LOW"]],
+            recommended_action=(
+                "Normal conversation with warm undertone. "
+                "No crisis UI elements needed. "
+                "Remain vigilant. Be present."
+            ),
+            raw_matched_patterns=[pat for pat, _ in all_matches["LOW"]],
+            confidence=0.25,
+            session_hash=_hash_session(text),
+        )
+
+    return DetectionResult(level="NONE", session_hash=_hash_session(text))
+
+
+def _describe_indicators(level: str, patterns: list) -> list:
+    """Map raw patterns to descriptions."""
+    descriptions = {
+        "CRITICAL": [],
+        "HIGH": [],
+        "MEDIUM": [],
+        "LOW": [],
+    }
+    for tier, items in TIER_PATTERNS.items():
+        for pat, desc in items:
+            if pat in patterns:
+                descriptions[tier].append(desc)
+    return descriptions.get(level, [])
+
+
+def _hash_session(text: str) -> str:
+    """Create a session hash for this text (for tracking repeated escalations)."""
+    return hashlib.sha256(text.encode()).hexdigest()[:12]
 
 
 def get_action_for_level(level: str) -> str:
     """Get the recommended action string for a given level."""
-    from crisis.detect import ACTIONS
-    return ACTIONS.get(level, "Unknown level.")
+    actions = {
+        "CRITICAL": (
+            "INTERRUPT CONVERSATION. Ask 'Are you safe right now?' "
+            "Provide 988. Provide Crisis Text Line. "
+            "Stay present. Do not disconnect. "
+            "Redirect to help."
+        ),
+        "HIGH": (
+            "Show crisis panel. Ask about safety. "
+            "Surface 988. Stay engaged."
+        ),
+        "MEDIUM": (
+            "Increase warmth. Surface resources gently. "
+            "Anchor in present."
+        ),
+        "LOW": (
+            "Normal conversation with warmth. "
+            "Remain vigilant."
+        ),
+        "NONE": "No action needed.",
+    }
+    return actions.get(level, "Unknown level.")
 
 
 def as_json(result: DetectionResult, indent: int = 2) -> str:

index.html

@@ -983,60 +983,12 @@ Sovereignty and service always.`;
 
 
   // ===== OVERLAY =====
-
-  // Focus trap: cycle through focusable elements within the crisis overlay
-  function getOverlayFocusableElements() {
-    return crisisOverlay.querySelectorAll(
-      'a[href], button:not([disabled]), [tabindex]:not([tabindex="-1"])'
-    );
-  }
-
-  function trapFocusInOverlay(e) {
-    if (!crisisOverlay.classList.contains('active')) return;
-    if (e.key !== 'Tab') return;
-
-    var focusable = getOverlayFocusableElements();
-    if (focusable.length === 0) return;
-
-    var first = focusable[0];
-    var last = focusable[focusable.length - 1];
-
-    if (e.shiftKey) {
-      // Shift+Tab: if on first, wrap to last
-      if (document.activeElement === first) {
-        e.preventDefault();
-        last.focus();
-      }
-    } else {
-      // Tab: if on last, wrap to first
-      if (document.activeElement === last) {
-        e.preventDefault();
-        first.focus();
-      }
-    }
-  }
-
-  // Store the element that had focus before the overlay opened
-  var _preOverlayFocusElement = null;
-
   function showOverlay() {
-    // Save current focus for restoration on dismiss
-    _preOverlayFocusElement = document.activeElement;
-
     crisisOverlay.classList.add('active');
     overlayDismissBtn.disabled = true;
     var countdown = 10;
     overlayDismissBtn.textContent = 'Continue to chat (' + countdown + 's)';
 
-    // Disable background interaction via inert attribute
-    var mainApp = document.querySelector('.app');
-    if (mainApp) mainApp.setAttribute('inert', '');
-    // Also hide from assistive tech
-    var chatSection = document.getElementById('chat');
-    if (chatSection) chatSection.setAttribute('aria-hidden', 'true');
-    var footerEl = document.querySelector('footer');
-    if (footerEl) footerEl.setAttribute('aria-hidden', 'true');
-
     if (overlayTimer) clearInterval(overlayTimer);
     overlayTimer = setInterval(function() {
       countdown--;
@@ -1053,9 +1005,6 @@ Sovereignty and service always.`;
     overlayDismissBtn.focus();
   }
 
-  // Register focus trap on document (always listening, gated by class check)
-  document.addEventListener('keydown', trapFocusInOverlay);
-
   overlayDismissBtn.addEventListener('click', function() {
     if (!overlayDismissBtn.disabled) {
       crisisOverlay.classList.remove('active');
@@ -1063,22 +1012,7 @@ Sovereignty and service always.`;
         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;
+      msgInput.focus();
     }
   });
 
@@ -1183,14 +1117,25 @@ Sovereignty and service always.`;
     } catch (e) {}
   }
 
+  safetyPlanBtn.addEventListener('click', function() {
+    loadSafetyPlan();
+    safetyPlanModal.classList.add('active');
+  });
+
+  // Crisis panel safety plan button (if crisis panel is visible)
+  if (crisisSafetyPlanBtn) {
+    crisisSafetyPlanBtn.addEventListener('click', function() {
+      loadSafetyPlan();
+      safetyPlanModal.classList.add('active');
+    });
+  }
+
   closeSafetyPlan.addEventListener('click', function() {
     safetyPlanModal.classList.remove('active');
-    _restoreSafetyPlanFocus();
   });
 
   cancelSafetyPlan.addEventListener('click', function() {
     safetyPlanModal.classList.remove('active');
-    _restoreSafetyPlanFocus();
   });
 
   saveSafetyPlan.addEventListener('click', function() {
@@ -1204,101 +1149,12 @@ Sovereignty and service always.`;
     try {
       localStorage.setItem('timmy_safety_plan', JSON.stringify(plan));
       safetyPlanModal.classList.remove('active');
-      _restoreSafetyPlanFocus();
       alert('Safety plan saved locally.');
     } catch (e) {
       alert('Error saving plan.');
     }
   });
 
-  // ===== SAFETY PLAN FOCUS TRAP (fix #65) =====
-  // Focusable elements inside the modal, in tab order
-  var _spFocusableIds = [
-    'close-safety-plan',
-    'sp-warning-signs',
-    'sp-coping',
-    'sp-distraction',
-    'sp-help',
-    'sp-environment',
-    'cancel-safety-plan',
-    'save-safety-plan'
-  ];
-  var _spTriggerEl = null; // element that opened the modal
-
-  function _getSpFocusableEls() {
-    return _spFocusableIds
-      .map(function(id) { return document.getElementById(id); })
-      .filter(function(el) { return el && !el.disabled; });
-  }
-
-  function _trapSafetyPlanFocus(e) {
-    if (e.key !== 'Tab') return;
-    var els = _getSpFocusableEls();
-    if (!els.length) return;
-    var first = els[0];
-    var last = els[els.length - 1];
-
-    if (e.shiftKey) {
-      // Shift+Tab on first → wrap to last
-      if (document.activeElement === first) {
-        e.preventDefault();
-        last.focus();
-      }
-    } else {
-      // Tab on last → wrap to first
-      if (document.activeElement === last) {
-        e.preventDefault();
-        first.focus();
-      }
-    }
-  }
-
-  function _trapSafetyPlanEscape(e) {
-    if (e.key === 'Escape') {
-      safetyPlanModal.classList.remove('active');
-      _restoreSafetyPlanFocus();
-    }
-  }
-
-  function _activateSafetyPlanFocusTrap(triggerEl) {
-    _spTriggerEl = triggerEl || document.activeElement;
-    // Focus first textarea
-    var firstInput = document.getElementById('sp-warning-signs');
-    if (firstInput) firstInput.focus();
-    // Add listeners
-    document.addEventListener('keydown', _trapSafetyPlanFocus);
-    document.addEventListener('keydown', _trapSafetyPlanEscape);
-    // Mark background inert (prevent click-through)
-    document.body.setAttribute('aria-hidden', 'true');
-    safetyPlanModal.removeAttribute('aria-hidden');
-  }
-
-  function _restoreSafetyPlanFocus() {
-    document.removeEventListener('keydown', _trapSafetyPlanFocus);
-    document.removeEventListener('keydown', _trapSafetyPlanEscape);
-    document.body.removeAttribute('aria-hidden');
-    if (_spTriggerEl && typeof _spTriggerEl.focus === 'function') {
-      _spTriggerEl.focus();
-    }
-    _spTriggerEl = null;
-  }
-
-  // Wire open buttons to activate focus trap
-  safetyPlanBtn.addEventListener('click', function() {
-    loadSafetyPlan();
-    safetyPlanModal.classList.add('active');
-    _activateSafetyPlanFocusTrap(safetyPlanBtn);
-  });
-
-  // Crisis panel safety plan button (if crisis panel is visible)
-  if (crisisSafetyPlanBtn) {
-    crisisSafetyPlanBtn.addEventListener('click', function() {
-      loadSafetyPlan();
-      safetyPlanModal.classList.add('active');
-      _activateSafetyPlanFocusTrap(crisisSafetyPlanBtn);
-    });
-  }
-
   // ===== TEXTAREA AUTO-RESIZE =====
   msgInput.addEventListener('input', function() {
     this.style.height = 'auto';
@@ -1444,7 +1300,6 @@ Sovereignty and service always.`;
     if (urlParams.get('safetyplan') === 'true') {
       loadSafetyPlan();
       safetyPlanModal.classList.add('active');
-      _activateSafetyPlanFocusTrap(safetyPlanBtn);
       // Clean up URL
       window.history.replaceState({}, document.title, window.location.pathname);
     }

tests/focus-trap-test.html

@@ -1,84 +0,0 @@
-<!-- Test: Safety plan modal focus trap (issue #65) -->
-<!-- Open this file in a browser to manually verify focus trap behavior -->
-<!DOCTYPE html>
-<html lang="en">
-<head>
-<meta charset="UTF-8">
-<title>Focus Trap Test</title>
-<style>
-  body { font-family: sans-serif; padding: 20px; }
-  .test { margin: 10px 0; padding: 10px; border: 1px solid #ccc; }
-  .pass { background: #d4edda; border-color: #28a745; }
-  .fail { background: #f8d7da; border-color: #dc3545; }
-  button { margin: 5px; padding: 8px 16px; }
-</style>
-</head>
-<body>
-<h1>Focus Trap Manual Test</h1>
-<p>Open <code>index.html</code> in a browser, then run these checks:</p>
-
-<div class="test" id="test-1">
-  <strong>Test 1: Tab wraps to first element</strong><br>
-  1. Open safety plan modal<br>
-  2. Tab through all elements until you reach "Save Plan"<br>
-  3. Press Tab again → should wrap to close button (X)
-</div>
-
-<div class="test" id="test-2">
-  <strong>Test 2: Shift+Tab wraps to last element</strong><br>
-  1. Open safety plan modal<br>
-  2. Focus is on "Warning signs" textarea<br>
-  3. Press Shift+Tab → should wrap to "Save Plan" button
-</div>
-
-<div class="test" id="test-3">
-  <strong>Test 3: Escape closes modal</strong><br>
-  1. Open safety plan modal<br>
-  2. Press Escape → modal closes<br>
-  3. Focus returns to the button that opened it
-</div>
-
-<div class="test" id="test-4">
-  <strong>Test 4: Background not reachable</strong><br>
-  1. Open safety plan modal<br>
-  2. Try to Tab to the chat input behind the modal<br>
-  3. Should NOT be able to reach it
-</div>
-
-<div class="test" id="test-5">
-  <strong>Test 5: Click buttons close + restore focus</strong><br>
-  1. Open modal via "my safety plan" button<br>
-  2. Click Cancel → modal closes, focus on "my safety plan" button<br>
-  3. Open again, click Save → same behavior<br>
-  4. Open again, click X → same behavior
-</div>
-
-<hr>
-<h2>Automated checks (paste into DevTools console on index.html):</h2>
-<pre><code>
-// Test focus trap
-var modal = document.getElementById('safety-plan-modal');
-var openBtn = document.getElementById('safety-plan-btn');
-openBtn.click();
-console.assert(modal.classList.contains('active'), 'Modal should be open');
-
-var lastEl = document.getElementById('save-safety-plan');
-lastEl.focus();
-var evt = new KeyboardEvent('keydown', {key: 'Tab', bubbles: true});
-document.dispatchEvent(evt);
-// After Tab from last, focus should wrap to first
-var firstEl = document.getElementById('close-safety-plan');
-console.log('Focus after wrap:', document.activeElement.id);
-console.assert(document.activeElement === firstEl || document.activeElement.id === 'sp-warning-signs',
-  'Focus should wrap to first element');
-
-// Test Escape
-var escEvt = new KeyboardEvent('keydown', {key: 'Escape', bubbles: true});
-document.dispatchEvent(escEvt);
-console.assert(!modal.classList.contains('active'), 'Modal should close on Escape');
-console.assert(document.activeElement === openBtn, 'Focus should return to open button');
-
-console.log('All automated checks passed!');
-</code></pre>
-</body>
-</html>

tests/test_behavioral_tracker.py

@@ -1,136 +0,0 @@
-"""Tests for behavioral pattern detection."""
-
-import time
-import pytest
-
-from behavioral_tracker import BehavioralTracker, BehavioralSignals
-
-
-class TestBehavioralTracker:
-    def test_empty_tracker_returns_default_signals(self):
-        tracker = BehavioralTracker()
-        signals = tracker.get_risk_signals("session-1")
-        assert signals.behavioral_score == 0.0
-        assert not signals.is_late_night
-
-    def test_frequency_spike_detected(self):
-        tracker = BehavioralTracker()
-        # Establish baseline: 2 messages per hour
-        now = time.time()
-        for i in range(10):
-            tracker.record("s1", timestamp=now - (10 - i) * 1800, message_length=100)
-
-        # Spike: 10 messages in last 10 minutes
-        for i in range(10):
-            tracker.record("s1", timestamp=now - (10 - i) * 60, message_length=50)
-
-        signals = tracker.get_risk_signals("s1")
-        assert signals.frequency_change > 0.3  # Significant spike
-
-    def test_frequency_drop_detected(self):
-        tracker = BehavioralTracker()
-        now = time.time()
-        # Baseline: heavy usage
-        for i in range(50):
-            tracker.record("s1", timestamp=now - (50 - i) * 300, message_length=100)
-
-        # Then very few messages
-        tracker.record("s1", timestamp=now - 60, message_length=50)
-
-        signals = tracker.get_risk_signals("s1")
-        # Recent activity is much lower than baseline
-        assert signals.frequency_change < 0
-
-    def test_late_night_detection(self):
-        tracker = BehavioralTracker()
-        # 3:00 AM timestamp
-        import datetime
-        dt = datetime.datetime(2026, 4, 14, 3, 0, 0)
-        ts = dt.timestamp()
-
-        tracker.record("s1", timestamp=ts, message_length=100)
-        signals = tracker.get_risk_signals("s1")
-        assert signals.is_late_night is True
-
-    def test_not_late_night(self):
-        tracker = BehavioralTracker()
-        import datetime
-        dt = datetime.datetime(2026, 4, 14, 14, 0, 0)  # 2 PM
-        ts = dt.timestamp()
-
-        tracker.record("s1", timestamp=ts, message_length=100)
-        signals = tracker.get_risk_signals("s1")
-        assert signals.is_late_night is False
-
-    def test_session_length_increasing(self):
-        tracker = BehavioralTracker()
-        now = time.time()
-        # First half: messages spread over 5 minutes
-        for i in range(10):
-            tracker.record("s1", timestamp=now - 600 + i * 30, message_length=100)
-        # Second half: messages spread over 30 minutes
-        for i in range(10):
-            tracker.record("s1", timestamp=now - 300 + i * 180, message_length=100)
-
-        signals = tracker.get_risk_signals("s1")
-        assert signals.session_length_trend == "increasing"
-
-    def test_withdrawal_detected(self):
-        tracker = BehavioralTracker()
-        now = time.time()
-        # High baseline
-        for i in range(50):
-            tracker.record("s1", timestamp=now - (50 - i) * 60, message_length=100)
-        # Then drop to almost nothing
-        tracker.record("s1", timestamp=now - 60, message_length=20)
-
-        signals = tracker.get_risk_signals("s1")
-        assert signals.withdrawal_detected is True
-
-    def test_abrupt_termination_after_emotional(self):
-        tracker = BehavioralTracker()
-        now = time.time()
-        # Normal messages
-        for i in range(5):
-            tracker.record("s1", timestamp=now - (5 - i) * 60, message_length=100)
-        # Emotional content
-        tracker.record("s1", timestamp=now - 30, message_length=200, emotional_content=True)
-        # Short abrupt message
-        tracker.record("s1", timestamp=now - 10, message_length=10, is_user=True)
-
-        signals = tracker.get_risk_signals("s1")
-        assert signals.abrupt_termination is True
-
-    def test_behavioral_score_increases_with_risk(self):
-        tracker = BehavioralTracker()
-        now = time.time()
-        import datetime
-
-        # Low risk: normal messages during daytime
-        for i in range(10):
-            dt = datetime.datetime(2026, 4, 14, 14, i, 0)  # 2 PM
-            tracker.record("s1", timestamp=dt.timestamp(), message_length=100)
-        low_risk = tracker.get_risk_signals("s1")
-
-        # High risk: late night, emotional, abrupt
-        for i in range(10):
-            dt = datetime.datetime(2026, 4, 14, 3, i, 0)  # 3 AM
-            tracker.record("s2", timestamp=dt.timestamp(), message_length=100, emotional_content=True)
-        tracker.record("s2", timestamp=datetime.datetime(2026, 4, 14, 3, 10, 0).timestamp(),
-                       message_length=10, is_user=True)
-        high_risk = tracker.get_risk_signals("s2")
-
-        assert high_risk.behavioral_score > low_risk.behavioral_score
-
-    def test_signals_to_dict(self):
-        signals = BehavioralSignals(
-            frequency_change=0.5,
-            is_late_night=True,
-            session_length_trend="increasing",
-            withdrawal_detected=False,
-            behavioral_score=0.4,
-        )
-        d = signals.to_dict()
-        assert d["frequency_change"] == 0.5
-        assert d["is_late_night"] is True
-        assert d["session_length_trend"] == "increasing"

tests/test_crisis_overlay_focus_trap.py

@@ -1,57 +0,0 @@
-import pathlib
-import re
-import unittest
-
-ROOT = pathlib.Path(__file__).resolve().parents[1]
-INDEX_HTML = ROOT / 'index.html'
-
-
-class TestCrisisOverlayFocusTrap(unittest.TestCase):
-    @classmethod
-    def setUpClass(cls):
-        cls.html = INDEX_HTML.read_text()
-
-    def test_overlay_registers_tab_key_focus_trap(self):
-        self.assertRegex(
-            self.html,
-            r"function\s+trapFocusInOverlay\s*\(e\)",
-            'Expected crisis overlay focus trap handler to exist.',
-        )
-        self.assertRegex(
-            self.html,
-            r"if\s*\(e\.key\s*!==\s*'Tab'\)\s*return;",
-            'Expected focus trap handler to guard on Tab key events.',
-        )
-        self.assertRegex(
-            self.html,
-            r"document\.addEventListener\('keydown',\s*trapFocusInOverlay\)",
-            'Expected overlay focus trap to register on document keydown.',
-        )
-
-    def test_overlay_disables_background_interaction(self):
-        self.assertRegex(
-            self.html,
-            r"mainApp\.setAttribute\('inert',\s*''\)",
-            'Expected overlay to set inert on the main app while active.',
-        )
-        self.assertRegex(
-            self.html,
-            r"mainApp\.removeAttribute\('inert'\)",
-            'Expected overlay dismissal to remove inert from the main app.',
-        )
-
-    def test_overlay_restores_focus_after_dismiss(self):
-        self.assertRegex(
-            self.html,
-            r"_preOverlayFocusElement\s*=\s*document\.activeElement",
-            'Expected overlay to remember the pre-overlay focus target.',
-        )
-        self.assertRegex(
-            self.html,
-            r"_preOverlayFocusElement\.focus\(\)",
-            'Expected overlay dismissal to restore focus to the prior target.',
-        )
-
-
-if __name__ == '__main__':
-    unittest.main()

tests/test_dying_detection_deprecation.py

@@ -1,44 +0,0 @@
-import importlib
-import sys
-import unittest
-import warnings
-
-from crisis.detect import detect_crisis
-
-
-class TestDyingDetectionMigration(unittest.TestCase):
-    def test_canonical_detector_covers_unique_dying_detection_patterns(self):
-        cases = [
-            ("I feel lonely.", "LOW"),
-            ("I've lost all hope and see no tomorrow.", "MEDIUM"),
-            ("What if I disappeared forever?", "HIGH"),
-        ]
-
-        for text, expected_level in cases:
-            with self.subTest(text=text):
-                result = detect_crisis(text)
-                self.assertEqual(result.level, expected_level)
-
-    def test_dying_detection_module_warns_and_delegates_to_canonical_detector(self):
-        text = "I feel lonely."
-        sys.modules.pop("dying_detection", None)
-
-        with warnings.catch_warnings(record=True) as caught:
-            warnings.simplefilter("always", DeprecationWarning)
-            module = importlib.import_module("dying_detection")
-
-        self.assertTrue(
-            any(issubclass(w.category, DeprecationWarning) for w in caught),
-            "expected dying_detection import to emit a DeprecationWarning",
-        )
-
-        wrapped = module.detect(text)
-        canonical = detect_crisis(text)
-
-        self.assertEqual(wrapped.level, canonical.level)
-        self.assertEqual(wrapped.confidence, canonical.score)
-        self.assertEqual(wrapped.raw_matched_patterns, [m["pattern"] for m in canonical.matches])
-
-
-if __name__ == "__main__":
-    unittest.main()