feat: cache offline crisis resources (closes #41)

crisis/__init__.py

@@ -7,8 +7,6 @@ Stands between a broken man and a machine that would tell him to die.
 from .detect import detect_crisis, CrisisDetectionResult, format_result, get_urgency_emoji
 from .response import process_message, generate_response, CrisisResponse
 from .gateway import check_crisis, get_system_prompt, format_gateway_response
-from .behavioral import BehavioralTracker, BehavioralSignal
-from .session_tracker import CrisisSessionTracker, SessionState, check_crisis_with_session
 
 __all__ = [
     "detect_crisis",
@@ -21,9 +19,4 @@ __all__ = [
     "format_result",
     "format_gateway_response",
     "get_urgency_emoji",
-    "BehavioralTracker",
-    "BehavioralSignal",
-    "CrisisSessionTracker",
-    "SessionState",
-    "check_crisis_with_session",
 ]

crisis/behavioral.py

@@ -1,304 +0,0 @@
-"""Behavioral crisis pattern detection for the-door (#133).
-
-Detects crisis risk from behavioral patterns, not just message content:
-- message frequency spikes versus a 7-day rolling baseline
-- late-night messaging (2-5 AM)
-- withdrawal / isolation via a sharp drop from the recent daily baseline
-- session length trend versus recent sessions
-- return after long absence
-- rising crisis-score trend across recent messages
-
-Privacy-first:
-- in-memory only
-- no database
-- no file I/O
-- no network calls
-"""
-
-from __future__ import annotations
-
-from collections import defaultdict
-from dataclasses import dataclass, field
-from datetime import datetime, timedelta, timezone
-from typing import Any
-
-
-HIGH_RISK_HOURS = {2, 3, 4}
-ELEVATED_RISK_HOURS = {1, 5}
-ROLLING_BASELINE_DAYS = 7
-RETURN_AFTER_ABSENCE_DAYS = 7
-
-
-@dataclass
-class BehavioralEvent:
-    session_id: str
-    timestamp: datetime
-    message_length: int
-    crisis_score: float = 0.0
-    role: str = "user"
-
-
-@dataclass
-class BehavioralSignal:
-    signal_type: str
-    risk_level: str
-    description: str
-    evidence: list[str] = field(default_factory=list)
-    score: float = 0.0
-
-    def as_dict(self) -> dict[str, Any]:
-        return {
-            "signal_type": self.signal_type,
-            "risk_level": self.risk_level,
-            "description": self.description,
-            "evidence": list(self.evidence),
-            "score": self.score,
-        }
-
-
-class BehavioralTracker:
-    """In-memory tracker for behavioral crisis signals."""
-
-    def __init__(self) -> None:
-        self._events_by_session: dict[str, list[BehavioralEvent]] = defaultdict(list)
-
-    def record(
-        self,
-        session_id: str,
-        timestamp: datetime,
-        message_length: int,
-        *,
-        crisis_score: float = 0.0,
-        role: str = "user",
-    ) -> None:
-        if timestamp.tzinfo is None:
-            timestamp = timestamp.replace(tzinfo=timezone.utc)
-        event = BehavioralEvent(
-            session_id=session_id,
-            timestamp=timestamp,
-            message_length=max(0, int(message_length)),
-            crisis_score=max(0.0, min(1.0, float(crisis_score))),
-            role=role,
-        )
-        self._events_by_session[session_id].append(event)
-        self._events_by_session[session_id].sort(key=lambda item: item.timestamp)
-
-    def get_risk_signals(self, session_id: str) -> dict[str, Any]:
-        events = [event for event in self._events_by_session.get(session_id, []) if event.role == "user"]
-        if not events:
-            return {
-                "frequency_change": 1.0,
-                "is_late_night": False,
-                "session_length_trend": "stable",
-                "withdrawal_detected": False,
-                "behavioral_score": 0.0,
-                "signals": [],
-            }
-
-        signals: list[BehavioralSignal] = []
-
-        frequency_change = self._compute_frequency_change(events)
-        frequency_signal = self._analyze_frequency(events, frequency_change)
-        if frequency_signal:
-            signals.append(frequency_signal)
-
-        time_signal = self._analyze_time(events)
-        if time_signal:
-            signals.append(time_signal)
-
-        withdrawal_signal = self._analyze_withdrawal(session_id, events)
-        if withdrawal_signal:
-            signals.append(withdrawal_signal)
-
-        absence_signal = self._analyze_return_after_absence(session_id, events)
-        if absence_signal:
-            signals.append(absence_signal)
-
-        escalation_signal = self._analyze_escalation(events)
-        if escalation_signal:
-            signals.append(escalation_signal)
-
-        session_length_trend = self._compute_session_length_trend(session_id, events)
-        behavioral_score = self._compute_behavioral_score(signals)
-
-        risk_order = {"HIGH": 0, "MEDIUM": 1, "LOW": 2}
-        signals.sort(key=lambda item: (risk_order.get(item.risk_level, 9), -item.score))
-
-        return {
-            "frequency_change": frequency_change,
-            "is_late_night": any(item.signal_type == "time" for item in signals),
-            "session_length_trend": session_length_trend,
-            "withdrawal_detected": any(item.signal_type == "withdrawal" for item in signals),
-            "behavioral_score": behavioral_score,
-            "signals": [item.as_dict() for item in signals],
-        }
-
-    def _all_user_events(self) -> list[BehavioralEvent]:
-        events: list[BehavioralEvent] = []
-        for session_events in self._events_by_session.values():
-            events.extend(event for event in session_events if event.role == "user")
-        events.sort(key=lambda item: item.timestamp)
-        return events
-
-    def _daily_count_baseline(self, current_date) -> float:
-        events = self._all_user_events()
-        counts: dict[Any, int] = {}
-        for offset in range(1, ROLLING_BASELINE_DAYS + 1):
-            counts[current_date - timedelta(days=offset)] = 0
-        for event in events:
-            event_date = event.timestamp.date()
-            if event_date in counts:
-                counts[event_date] += 1
-        return sum(counts.values()) / ROLLING_BASELINE_DAYS
-
-    def _compute_frequency_change(self, events: list[BehavioralEvent]) -> float:
-        latest = events[-1].timestamp
-        window_start = latest - timedelta(hours=1)
-        current_hour_count = sum(1 for event in events if event.timestamp >= window_start)
-        baseline_daily = self._daily_count_baseline(latest.date())
-        baseline_hourly = max(baseline_daily / 24.0, 0.1)
-        return round(current_hour_count / baseline_hourly, 2)
-
-    def _analyze_frequency(self, events: list[BehavioralEvent], frequency_change: float) -> BehavioralSignal | None:
-        latest = events[-1].timestamp
-        window_start = latest - timedelta(hours=1)
-        current_hour_count = sum(1 for event in events if event.timestamp >= window_start)
-        if current_hour_count >= 6 and frequency_change >= 3.0:
-            level = "HIGH" if frequency_change >= 6.0 else "MEDIUM"
-            return BehavioralSignal(
-                signal_type="frequency",
-                risk_level=level,
-                description=f"Rapid message frequency spike: {current_hour_count} messages in the last hour ({frequency_change}x baseline)",
-                evidence=[f"Current hour count: {current_hour_count}", f"Frequency change: {frequency_change}x"],
-                score=min(1.0, frequency_change / 8.0),
-            )
-        return None
-
-    def _analyze_time(self, events: list[BehavioralEvent]) -> BehavioralSignal | None:
-        latest = events[-1].timestamp
-        hour = latest.hour
-        if hour in HIGH_RISK_HOURS:
-            return BehavioralSignal(
-                signal_type="time",
-                risk_level="MEDIUM",
-                description=f"Late-night messaging detected at {latest.strftime('%H:%M')}",
-                evidence=[f"Latest message timestamp: {latest.isoformat()}"],
-                score=0.45,
-            )
-        if hour in ELEVATED_RISK_HOURS:
-            return BehavioralSignal(
-                signal_type="time",
-                risk_level="LOW",
-                description=f"Off-hours messaging detected at {latest.strftime('%H:%M')}",
-                evidence=[f"Latest message timestamp: {latest.isoformat()}"],
-                score=0.2,
-            )
-        return None
-
-    def _analyze_withdrawal(self, session_id: str, events: list[BehavioralEvent]) -> BehavioralSignal | None:
-        current_date = events[-1].timestamp.date()
-        baseline_daily = self._daily_count_baseline(current_date)
-        if baseline_daily < 3.0:
-            return None
-
-        current_day_count = sum(1 for event in events if event.timestamp.date() == current_date)
-        current_avg_len = sum(event.message_length for event in events if event.timestamp.date() == current_date) / max(current_day_count, 1)
-
-        prior_events = [
-            event
-            for sid, session_events in self._events_by_session.items()
-            if sid != session_id
-            for event in session_events
-            if event.role == "user" and event.timestamp.date() >= current_date - timedelta(days=ROLLING_BASELINE_DAYS)
-        ]
-        if not prior_events:
-            return None
-        prior_avg_len = sum(event.message_length for event in prior_events) / len(prior_events)
-
-        if current_day_count <= max(1, baseline_daily * 0.3):
-            score = 0.55 if current_day_count == 1 else 0.4
-            if current_avg_len < prior_avg_len * 0.5:
-                score += 0.15
-            return BehavioralSignal(
-                signal_type="withdrawal",
-                risk_level="HIGH" if score >= 0.6 else "MEDIUM",
-                description="Sharp drop from recent communication baseline suggests withdrawal/isolation",
-                evidence=[
-                    f"Current day count: {current_day_count}",
-                    f"7-day daily baseline: {baseline_daily:.2f}",
-                    f"Average message length: {current_avg_len:.1f} vs {prior_avg_len:.1f}",
-                ],
-                score=min(1.0, score),
-            )
-        return None
-
-    def _analyze_return_after_absence(self, session_id: str, events: list[BehavioralEvent]) -> BehavioralSignal | None:
-        current_start = events[0].timestamp
-        prior_events = [
-            event
-            for sid, session_events in self._events_by_session.items()
-            if sid != session_id
-            for event in session_events
-            if event.role == "user" and event.timestamp < current_start
-        ]
-        if not prior_events:
-            return None
-        latest_prior = max(prior_events, key=lambda item: item.timestamp)
-        gap = current_start - latest_prior.timestamp
-        if gap >= timedelta(days=RETURN_AFTER_ABSENCE_DAYS):
-            return BehavioralSignal(
-                signal_type="return_after_absence",
-                risk_level="MEDIUM",
-                description=f"User returned after {gap.days} days of silence",
-                evidence=[f"Last prior activity: {latest_prior.timestamp.isoformat()}"],
-                score=min(1.0, gap.days / 14.0),
-            )
-        return None
-
-    def _analyze_escalation(self, events: list[BehavioralEvent]) -> BehavioralSignal | None:
-        scored = [event for event in events if event.crisis_score > 0]
-        if len(scored) < 3:
-            return None
-        recent = scored[-5:]
-        midpoint = max(1, len(recent) // 2)
-        first_avg = sum(event.crisis_score for event in recent[:midpoint]) / len(recent[:midpoint])
-        second_avg = sum(event.crisis_score for event in recent[midpoint:]) / len(recent[midpoint:])
-        if second_avg >= max(0.4, first_avg * 1.3):
-            return BehavioralSignal(
-                signal_type="escalation",
-                risk_level="HIGH" if second_avg >= 0.65 else "MEDIUM",
-                description=f"Behavioral escalation: crisis score trend rose from {first_avg:.2f} to {second_avg:.2f}",
-                evidence=[f"Recent crisis scores: {[round(event.crisis_score, 2) for event in recent]}"],
-                score=min(1.0, second_avg),
-            )
-        return None
-
-    def _compute_session_length_trend(self, session_id: str, events: list[BehavioralEvent]) -> str:
-        current_duration = (events[-1].timestamp - events[0].timestamp).total_seconds()
-        previous_durations = []
-        current_start = events[0].timestamp
-        for sid, session_events in self._events_by_session.items():
-            if sid == session_id:
-                continue
-            user_events = [event for event in session_events if event.role == "user"]
-            if len(user_events) < 2:
-                continue
-            if user_events[-1].timestamp < current_start - timedelta(days=ROLLING_BASELINE_DAYS):
-                continue
-            previous_durations.append((user_events[-1].timestamp - user_events[0].timestamp).total_seconds())
-
-        if not previous_durations:
-            return "stable"
-        average_duration = sum(previous_durations) / len(previous_durations)
-        if current_duration > average_duration * 1.5:
-            return "increasing"
-        if current_duration < average_duration * 0.5:
-            return "decreasing"
-        return "stable"
-
-    def _compute_behavioral_score(self, signals: list[BehavioralSignal]) -> float:
-        if not signals:
-            return 0.0
-        max_score = max(signal.score for signal in signals)
-        multi_signal_boost = min(0.2, 0.05 * (len(signals) - 1))
-        return round(min(1.0, max_score + multi_signal_boost), 2)

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",

crisis/gateway.py

@@ -22,7 +22,6 @@ from .response import (
     get_system_prompt_modifier,
     CrisisResponse,
 )
-from .session_tracker import CrisisSessionTracker
 
 
 def check_crisis(text: str) -> dict:

crisis/session_tracker.py

@@ -1,325 +0,0 @@
-"""
-Session-level crisis tracking and escalation for the-door (P0 #35).
-
-Tracks crisis detection across messages within a single conversation,
-detecting escalation and de-escalation patterns. Privacy-first: no
-persistence beyond the conversation session.
-
-Each message is analyzed in isolation by detect.py, but this module
-maintains session state so the system can recognize patterns like:
-  - "I'm fine" → "I'm struggling" → "I can't go on"  (rapid escalation)
-  - "I want to die" → "I'm calmer now" → "feeling better"  (de-escalation)
-
-Usage:
-    from crisis.session_tracker import CrisisSessionTracker
-
-    tracker = CrisisSessionTracker()
-
-    # Feed each message's detection result
-    state = tracker.record(detect_crisis("I'm having a tough day"))
-    print(state.current_level)  # "LOW"
-    print(state.is_escalating)  # False
-
-    state = tracker.record(detect_crisis("I feel hopeless"))
-    print(state.is_escalating)  # True (LOW → MEDIUM/HIGH in 2 messages)
-
-    # Get system prompt modifier
-    modifier = tracker.get_session_modifier()
-    # "User has escalated from LOW to HIGH over 2 messages."
-
-    # Reset for new session
-    tracker.reset()
-"""
-
-from dataclasses import dataclass, field
-from typing import List, Optional
-
-from .behavioral import BehavioralTracker
-from .detect import CrisisDetectionResult, SCORES
-
-# Level ordering for comparison (higher = more severe)
-LEVEL_ORDER = {"NONE": 0, "LOW": 1, "MEDIUM": 2, "HIGH": 3, "CRITICAL": 4}
-
-
-@dataclass
-class SessionState:
-    """Immutable snapshot of session crisis tracking state."""
-
-    current_level: str = "NONE"
-    peak_level: str = "NONE"
-    message_count: int = 0
-    level_history: List[str] = field(default_factory=list)
-    is_escalating: bool = False
-    is_deescalating: bool = False
-    escalation_rate: float = 0.0  # levels gained per message
-    consecutive_low_messages: int = 0  # for de-escalation tracking
-    behavioral_score: float = 0.0
-    behavioral_signals: List[dict] = field(default_factory=list)
-    frequency_change: float = 1.0
-    is_late_night: bool = False
-    session_length_trend: str = "stable"
-    withdrawal_detected: bool = False
-
-
-class CrisisSessionTracker:
-    """
-    Session-level crisis state tracker.
-
-    Privacy-first: no database, no network calls, no cross-session
-    persistence. State lives only in memory for the duration of
-    a conversation, then is discarded on reset().
-    """
-
-    # Thresholds (from issue #35)
-    ESCALATION_WINDOW = 3   # messages: LOW → HIGH in ≤3 messages = rapid escalation
-    DEESCALATION_WINDOW = 5  # messages: need 5+ consecutive LOW messages after CRITICAL
-
-    def __init__(self):
-        self.reset()
-
-    def reset(self):
-        """Reset all session state. Call on new conversation."""
-        self._current_level = "NONE"
-        self._peak_level = "NONE"
-        self._message_count = 0
-        self._level_history: List[str] = []
-        self._consecutive_low = 0
-        self._behavioral_tracker = BehavioralTracker()
-        self._behavioral_session_id = "current-session"
-
-    @property
-    def state(self) -> SessionState:
-        """Return immutable snapshot of current session state."""
-        is_escalating = self._detect_escalation()
-        is_deescalating = self._detect_deescalation()
-        rate = self._compute_escalation_rate()
-        behavioral = self._behavioral_tracker.get_risk_signals(self._behavioral_session_id)
-
-        return SessionState(
-            current_level=self._current_level,
-            peak_level=self._peak_level,
-            message_count=self._message_count,
-            level_history=list(self._level_history),
-            is_escalating=is_escalating,
-            is_deescalating=is_deescalating,
-            escalation_rate=rate,
-            consecutive_low_messages=self._consecutive_low,
-            behavioral_score=behavioral["behavioral_score"],
-            behavioral_signals=behavioral["signals"],
-            frequency_change=behavioral["frequency_change"],
-            is_late_night=behavioral["is_late_night"],
-            session_length_trend=behavioral["session_length_trend"],
-            withdrawal_detected=behavioral["withdrawal_detected"],
-        )
-
-    def record(
-        self,
-        detection: CrisisDetectionResult,
-        *,
-        timestamp=None,
-        message_length: int = 0,
-        role: str = "user",
-    ) -> SessionState:
-        """
-        Record a crisis detection result for the current message.
-
-        Returns updated SessionState.
-        """
-        from datetime import datetime, timezone
-
-        level = detection.level
-        self._message_count += 1
-        self._level_history.append(level)
-
-        # Update peak
-        if LEVEL_ORDER.get(level, 0) > LEVEL_ORDER.get(self._peak_level, 0):
-            self._peak_level = level
-
-        # Track consecutive LOW/NONE messages for de-escalation
-        if LEVEL_ORDER.get(level, 0) <= LEVEL_ORDER["LOW"]:
-            self._consecutive_low += 1
-        else:
-            self._consecutive_low = 0
-
-        if role == "user":
-            if timestamp is None:
-                timestamp = datetime.now(timezone.utc)
-            self._behavioral_tracker.record(
-                self._behavioral_session_id,
-                timestamp,
-                message_length=message_length,
-                crisis_score=detection.score,
-                role=role,
-            )
-
-        self._current_level = level
-        return self.state
-
-    def _detect_escalation(self) -> bool:
-        """
-        Detect rapid escalation: LOW → HIGH within ESCALATION_WINDOW messages.
-
-        Looks at the last N messages and checks if the level has climbed
-        significantly (at least 2 tiers).
-        """
-        if len(self._level_history) < 2:
-            return False
-
-        window = self._level_history[-self.ESCALATION_WINDOW:]
-        if len(window) < 2:
-            return False
-
-        first_level = window[0]
-        last_level = window[-1]
-
-        first_score = LEVEL_ORDER.get(first_level, 0)
-        last_score = LEVEL_ORDER.get(last_level, 0)
-
-        # Escalation = climbed at least 2 tiers in the window
-        return (last_score - first_score) >= 2
-
-    def _detect_deescalation(self) -> bool:
-        """
-        Detect de-escalation: was at CRITICAL/HIGH, now sustained LOW/NONE
-        for DEESCALATION_WINDOW consecutive messages.
-        """
-        if LEVEL_ORDER.get(self._peak_level, 0) < LEVEL_ORDER["HIGH"]:
-            return False
-
-        return self._consecutive_low >= self.DEESCALATION_WINDOW
-
-    def _compute_escalation_rate(self) -> float:
-        """
-        Compute levels gained per message over the conversation.
-
-        Positive = escalating, negative = de-escalating, 0 = stable.
-        """
-        if self._message_count < 2:
-            return 0.0
-
-        first = LEVEL_ORDER.get(self._level_history[0], 0)
-        current = LEVEL_ORDER.get(self._current_level, 0)
-
-        return (current - first) / (self._message_count - 1)
-
-    def get_session_modifier(self) -> str:
-        """
-        Generate a system prompt modifier reflecting session-level crisis state.
-
-        Returns empty string if no session context is relevant.
-        """
-        if self._message_count < 2:
-            return ""
-
-        s = self.state
-
-        if s.is_escalating:
-            return (
-                f"User has escalated from {self._level_history[0]} to "
-                f"{s.current_level} over {s.message_count} messages. "
-                f"Peak crisis level this session: {s.peak_level}. "
-                "Respond with heightened awareness. The trajectory is "
-                "worsening — prioritize safety and connection."
-            )
-
-        if s.is_deescalating:
-            return (
-                f"User previously reached {s.peak_level} crisis level "
-                f"but has been at {s.current_level} or below for "
-                f"{s.consecutive_low_messages} consecutive messages. "
-                "The situation appears to be stabilizing. Continue "
-                "supportive engagement while remaining vigilant."
-            )
-
-        notes = []
-
-        if s.peak_level in ("CRITICAL", "HIGH") and s.current_level not in ("CRITICAL", "HIGH"):
-            notes.append(
-                f"User previously reached {s.peak_level} crisis level this session (currently {s.current_level}). "
-                "Continue with care and awareness of the earlier crisis."
-            )
-
-        if s.behavioral_score >= 0.35 and s.behavioral_signals:
-            signal_names = ", ".join(item["signal_type"] for item in s.behavioral_signals)
-            notes.append(
-                f"Behavioral risk signals detected this session: {signal_names}. "
-                "Use the behavioral context to increase sensitivity and warmth."
-            )
-
-        return " ".join(notes)
-
-    def get_ui_hints(self) -> dict:
-        """
-        Return UI hints based on session state for the frontend.
-
-        These are advisory — the frontend decides what to show.
-        """
-        s = self.state
-
-        hints = {
-            "session_escalating": s.is_escalating,
-            "session_deescalating": s.is_deescalating,
-            "session_peak_level": s.peak_level,
-            "session_message_count": s.message_count,
-            "behavioral_score": s.behavioral_score,
-            "is_late_night": s.is_late_night,
-            "withdrawal_detected": s.withdrawal_detected,
-            "session_length_trend": s.session_length_trend,
-        }
-
-        if s.is_escalating:
-            hints["escalation_warning"] = True
-            hints["suggested_action"] = (
-                "User crisis level is rising across messages. "
-                "Consider increasing intervention level."
-            )
-
-        if s.behavioral_score >= 0.5:
-            hints["behavioral_warning"] = True
-            hints.setdefault(
-                "suggested_action",
-                "Behavioral risk patterns are active. Keep the response warm, grounded, and alert."
-            )
-
-        return hints
-
-
-def check_crisis_with_session(
-    text: str,
-    tracker: CrisisSessionTracker,
-    timestamp=None,
-) -> dict:
-    """
-    Convenience: detect crisis and update session state in one call.
-
-    Returns combined single-message detection + session-level context.
-    """
-    from .detect import detect_crisis
-    from .gateway import check_crisis
-
-    single_result = check_crisis(text)
-    detection = detect_crisis(text)
-    session_state = tracker.record(detection, timestamp=timestamp, message_length=len(text))
-
-    behavioral = {
-        "frequency_change": session_state.frequency_change,
-        "is_late_night": session_state.is_late_night,
-        "session_length_trend": session_state.session_length_trend,
-        "withdrawal_detected": session_state.withdrawal_detected,
-        "behavioral_score": session_state.behavioral_score,
-        "signals": session_state.behavioral_signals,
-    }
-
-    return {
-        **single_result,
-        "session": {
-            "current_level": session_state.current_level,
-            "peak_level": session_state.peak_level,
-            "message_count": session_state.message_count,
-            "is_escalating": session_state.is_escalating,
-            "is_deescalating": session_state.is_deescalating,
-            "modifier": tracker.get_session_modifier(),
-            "ui_hints": tracker.get_ui_hints(),
-            "behavioral": behavioral,
-        },
-    }

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

@@ -680,7 +680,7 @@ html, body {
 
   <!-- Footer -->
   <footer id="footer">
-    <a href="/about.html" aria-label="About The Door">about</a>
+    <a href="/about" aria-label="About The Door">about</a>
     <button id="safety-plan-btn" aria-label="Open My Safety Plan">my safety plan</button>
     <button id="clear-chat-btn" aria-label="Clear chat history">clear chat</button>
   </footer>
@@ -808,7 +808,6 @@ Sovereignty and service always.`;
   var crisisPanel = document.getElementById('crisis-panel');
   var crisisOverlay = document.getElementById('crisis-overlay');
   var overlayDismissBtn = document.getElementById('overlay-dismiss-btn');
-  var overlayCallLink = document.querySelector('.overlay-call');
   var statusDot = document.querySelector('.status-dot');
   var statusText = document.getElementById('status-text');
   
@@ -984,60 +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--;
@@ -1051,13 +1002,9 @@ Sovereignty and service always.`;
       }
     }, 1000);
 
-    // Focus the Call 988 link (always enabled) — disabled buttons cannot receive focus
-    if (overlayCallLink) overlayCallLink.focus();
+    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');
@@ -1065,22 +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();
     }
   });
 
@@ -1185,14 +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() {
@@ -1206,101 +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';
@@ -1446,7 +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

@@ -1,101 +0,0 @@
-"""
-Tests for behavioral crisis pattern detection (#133).
-"""
-
-import os
-import sys
-import unittest
-from datetime import datetime, timedelta, timezone
-
-sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-
-from crisis.session_tracker import CrisisSessionTracker, check_crisis_with_session
-from crisis.behavioral import BehavioralTracker
-
-
-class TestBehavioralTracker(unittest.TestCase):
-    def _seed_day(self, tracker, *, session_id, day, count, start_hour=10, message_length=48, crisis_score=0.0):
-        base = datetime(2026, 4, day, start_hour, 0, tzinfo=timezone.utc)
-        for i in range(count):
-            tracker.record(
-                session_id,
-                base + timedelta(minutes=i * 10),
-                message_length=message_length,
-                crisis_score=crisis_score,
-            )
-
-    def test_frequency_change_uses_seven_day_baseline(self):
-        tracker = BehavioralTracker()
-        for day in range(1, 8):
-            self._seed_day(tracker, session_id=f"baseline-{day}", day=day, count=2)
-
-        burst_base = datetime(2026, 4, 8, 14, 0, tzinfo=timezone.utc)
-        for i in range(8):
-            tracker.record(
-                "current-session",
-                burst_base + timedelta(minutes=i),
-                message_length=72,
-                crisis_score=0.1,
-            )
-
-        summary = tracker.get_risk_signals("current-session")
-
-        self.assertGreater(summary["frequency_change"], 2.0)
-        self.assertTrue(any(sig["signal_type"] == "frequency" for sig in summary["signals"]))
-        self.assertGreater(summary["behavioral_score"], 0.0)
-
-    def test_late_night_messages_raise_flag(self):
-        tracker = BehavioralTracker()
-        base = datetime(2026, 4, 10, 2, 15, tzinfo=timezone.utc)
-        for i in range(3):
-            tracker.record(
-                "late-night",
-                base + timedelta(minutes=i * 7),
-                message_length=35,
-                crisis_score=0.0,
-            )
-
-        summary = tracker.get_risk_signals("late-night")
-
-        self.assertTrue(summary["is_late_night"])
-        self.assertTrue(any(sig["signal_type"] == "time" for sig in summary["signals"]))
-
-    def test_withdrawal_detected_after_large_drop_from_baseline(self):
-        tracker = BehavioralTracker()
-        for day in range(1, 8):
-            self._seed_day(tracker, session_id=f"baseline-{day}", day=day, count=10, message_length=80)
-
-        tracker.record(
-            "withdrawal-session",
-            datetime(2026, 4, 9, 11, 0, tzinfo=timezone.utc),
-            message_length=18,
-            crisis_score=0.0,
-        )
-
-        summary = tracker.get_risk_signals("withdrawal-session")
-
-        self.assertTrue(summary["withdrawal_detected"])
-        self.assertTrue(any(sig["signal_type"] == "withdrawal" for sig in summary["signals"]))
-
-
-class TestBehavioralSessionIntegration(unittest.TestCase):
-    def test_check_crisis_with_session_includes_behavioral_summary(self):
-        tracker = CrisisSessionTracker()
-        base = datetime(2026, 4, 20, 2, 0, tzinfo=timezone.utc)
-
-        check_crisis_with_session("can't sleep", tracker, timestamp=base)
-        check_crisis_with_session("still here", tracker, timestamp=base + timedelta(minutes=1))
-        result = check_crisis_with_session("everything feels loud", tracker, timestamp=base + timedelta(minutes=2))
-
-        behavioral = result["session"]["behavioral"]
-        self.assertIn("frequency_change", behavioral)
-        self.assertIn("is_late_night", behavioral)
-        self.assertIn("session_length_trend", behavioral)
-        self.assertIn("withdrawal_detected", behavioral)
-        self.assertIn("behavioral_score", behavioral)
-        self.assertTrue(behavioral["is_late_night"])
-        self.assertGreater(behavioral["behavioral_score"], 0.0)
-
-
-if __name__ == '__main__':
-    unittest.main()

tests/test_crisis_overlay_focus_trap.py

@@ -1,85 +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.',
-        )
-
-    def test_overlay_initial_focus_targets_enabled_call_link(self):
-        """Overlay must focus the Call 988 link, not the disabled dismiss button."""
-        # Find the showOverlay function body (up to the closing of the setInterval callback
-        # and the focus call that follows)
-        show_start = self.html.find('function showOverlay()')
-        self.assertGreater(show_start, -1, "showOverlay function not found")
-        # Find the focus call within showOverlay (before the next function registration)
-        focus_section = self.html[show_start:show_start + 2000]
-        self.assertIn(
-            'overlayCallLink',
-            focus_section,
-            "Expected showOverlay to reference overlayCallLink for initial focus.",
-        )
-        # Ensure the old buggy pattern is gone
-        focus_line_region = self.html[show_start + 800:show_start + 1200]
-        self.assertNotIn(
-            'overlayDismissBtn.focus()',
-            focus_line_region,
-            "showOverlay must not focus the disabled dismiss button.",
-        )
-
-    def test_overlay_call_link_variable_is_declared(self):
-        self.assertIn(
-            "querySelector('.overlay-call')",
-            self.html,
-            "Expected a JS reference to the .overlay-call link element.",
-        )
-
-
-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()

tests/test_service_worker_offline.py

@@ -50,22 +50,6 @@ class TestCrisisOfflinePage(unittest.TestCase):
         for phrase in required_phrases:
             self.assertIn(phrase, self.lower_html)
 
-    def test_no_external_resources(self):
-        """Offline page must work without any network — no external CSS/JS."""
-        import re
-        html = self.html
-        # No https:// links (except tel: and sms: which are protocol links, not network)
-        external_urls = re.findall(r'href=["\']https://|src=["\']https://', html)
-        self.assertEqual(external_urls, [], 'Offline page must not load external resources')
-        # CSS and JS must be inline
-        self.assertIn('<style>', html, 'CSS must be inline')
-        self.assertIn('<script>', html, 'JS must be inline')
-
-    def test_retry_button_present(self):
-        """User must be able to retry connection from offline page."""
-        self.assertIn('retry-connection', self.html)
-        self.assertIn('Retry connection', self.html)
-
 
 if __name__ == '__main__':
     unittest.main()

tests/test_session_tracker.py

@@ -1,277 +0,0 @@
-"""
-Tests for crisis session tracking and escalation (P0 #35).
-
-Covers: session_tracker.py
-Run with: python -m pytest tests/test_session_tracker.py -v
-"""
-
-import unittest
-import sys
-import os
-
-sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-
-from crisis.detect import detect_crisis
-from crisis.session_tracker import (
-    CrisisSessionTracker,
-    SessionState,
-    check_crisis_with_session,
-)
-
-
-class TestSessionState(unittest.TestCase):
-    """Test SessionState defaults."""
-
-    def test_default_state(self):
-        s = SessionState()
-        self.assertEqual(s.current_level, "NONE")
-        self.assertEqual(s.peak_level, "NONE")
-        self.assertEqual(s.message_count, 0)
-        self.assertEqual(s.level_history, [])
-        self.assertFalse(s.is_escalating)
-        self.assertFalse(s.is_deescalating)
-
-
-class TestSessionTracking(unittest.TestCase):
-    """Test basic session state tracking."""
-
-    def setUp(self):
-        self.tracker = CrisisSessionTracker()
-
-    def test_record_none_message(self):
-        state = self.tracker.record(detect_crisis("Hello Timmy"))
-        self.assertEqual(state.current_level, "NONE")
-        self.assertEqual(state.message_count, 1)
-        self.assertEqual(state.peak_level, "NONE")
-
-    def test_record_low_message(self):
-        self.tracker.record(detect_crisis("Hello"))
-        state = self.tracker.record(detect_crisis("Having a rough day"))
-        self.assertIn(state.current_level, ("LOW", "NONE"))
-        self.assertEqual(state.message_count, 2)
-
-    def test_record_critical_updates_peak(self):
-        self.tracker.record(detect_crisis("Having a rough day"))
-        state = self.tracker.record(detect_crisis("I want to kill myself"))
-        self.assertEqual(state.current_level, "CRITICAL")
-        self.assertEqual(state.peak_level, "CRITICAL")
-
-    def test_peak_preserved_after_drop(self):
-        """Peak level should stay at the highest seen, even after de-escalation."""
-        self.tracker.record(detect_crisis("I want to kill myself"))
-        state = self.tracker.record(detect_crisis("I'm feeling a bit better"))
-        self.assertEqual(state.peak_level, "CRITICAL")
-
-    def test_level_history(self):
-        self.tracker.record(detect_crisis("Hello"))
-        self.tracker.record(detect_crisis("Having a rough day"))
-        state = self.tracker.record(detect_crisis("I want to die"))
-        self.assertEqual(len(state.level_history), 3)
-        self.assertEqual(state.level_history[0], "NONE")
-        self.assertEqual(state.level_history[2], "CRITICAL")
-
-    def test_reset_clears_state(self):
-        self.tracker.record(detect_crisis("I want to kill myself"))
-        self.tracker.reset()
-        state = self.tracker.state
-        self.assertEqual(state.current_level, "NONE")
-        self.assertEqual(state.peak_level, "NONE")
-        self.assertEqual(state.message_count, 0)
-        self.assertEqual(state.level_history, [])
-
-
-class TestEscalationDetection(unittest.TestCase):
-    """Test escalation detection: LOW → HIGH in ≤3 messages."""
-
-    def setUp(self):
-        self.tracker = CrisisSessionTracker()
-
-    def test_no_escalation_single_message(self):
-        self.tracker.record(detect_crisis("Hello"))
-        self.assertFalse(self.tracker.state.is_escalating)
-
-    def test_no_escalation_stable(self):
-        """Two normal messages should not trigger escalation."""
-        self.tracker.record(detect_crisis("Hello"))
-        state = self.tracker.record(detect_crisis("How are you?"))
-        self.assertFalse(state.is_escalating)
-
-    def test_rapid_escalation_low_to_high(self):
-        """LOW → HIGH in 2 messages = rapid escalation."""
-        self.tracker.record(detect_crisis("Having a rough day"))
-        state = self.tracker.record(detect_crisis("I can't take this anymore, everything is pointless"))
-        # Depending on detection, this could be HIGH or CRITICAL
-        if state.current_level in ("HIGH", "CRITICAL"):
-            self.assertTrue(state.is_escalating)
-
-    def test_rapid_escalation_three_messages(self):
-        """NONE → LOW → HIGH in 3 messages = escalation."""
-        self.tracker.record(detect_crisis("Hello"))
-        self.tracker.record(detect_crisis("Having a rough day"))
-        state = self.tracker.record(detect_crisis("I feel completely hopeless with no way out"))
-        if state.current_level in ("HIGH", "CRITICAL"):
-            self.assertTrue(state.is_escalating)
-
-    def test_escalation_rate(self):
-        """Rate should be positive when escalating."""
-        self.tracker.record(detect_crisis("Hello"))
-        self.tracker.record(detect_crisis("I want to die"))
-        state = self.tracker.state
-        self.assertGreater(state.escalation_rate, 0)
-
-
-class TestDeescalationDetection(unittest.TestCase):
-    """Test de-escalation: sustained LOW after HIGH/CRITICAL."""
-
-    def setUp(self):
-        self.tracker = CrisisSessionTracker()
-
-    def test_no_deescalation_without_prior_crisis(self):
-        """No de-escalation if never reached HIGH/CRITICAL."""
-        for _ in range(6):
-            self.tracker.record(detect_crisis("Hello"))
-        self.assertFalse(self.tracker.state.is_deescalating)
-
-    def test_deescalation_after_critical(self):
-        """5+ consecutive LOW/NONE messages after CRITICAL = de-escalation."""
-        self.tracker.record(detect_crisis("I want to kill myself"))
-        for _ in range(5):
-            self.tracker.record(detect_crisis("I'm doing better today"))
-        state = self.tracker.state
-        if state.peak_level == "CRITICAL":
-            self.assertTrue(state.is_deescalating)
-
-    def test_deescalation_after_high(self):
-        """5+ consecutive LOW/NONE messages after HIGH = de-escalation."""
-        self.tracker.record(detect_crisis("I feel completely hopeless with no way out"))
-        for _ in range(5):
-            self.tracker.record(detect_crisis("Feeling okay"))
-        state = self.tracker.state
-        if state.peak_level == "HIGH":
-            self.assertTrue(state.is_deescalating)
-
-    def test_interrupted_deescalation(self):
-        """De-escalation resets if a HIGH message interrupts."""
-        self.tracker.record(detect_crisis("I want to kill myself"))
-        for _ in range(3):
-            self.tracker.record(detect_crisis("Doing better"))
-        # Interrupt with another crisis
-        self.tracker.record(detect_crisis("I feel hopeless again"))
-        self.tracker.record(detect_crisis("Feeling okay now"))
-        state = self.tracker.state
-        # Should NOT be de-escalating yet (counter reset)
-        self.assertFalse(state.is_deescalating)
-
-
-class TestSessionModifier(unittest.TestCase):
-    """Test system prompt modifier generation."""
-
-    def setUp(self):
-        self.tracker = CrisisSessionTracker()
-
-    def test_no_modifier_for_single_message(self):
-        self.tracker.record(detect_crisis("Hello"))
-        self.assertEqual(self.tracker.get_session_modifier(), "")
-
-    def test_no_modifier_for_stable_session(self):
-        self.tracker.record(detect_crisis("Hello"))
-        self.tracker.record(detect_crisis("Good morning"))
-        self.assertEqual(self.tracker.get_session_modifier(), "")
-
-    def test_escalation_modifier(self):
-        """Escalating session should produce a modifier."""
-        self.tracker.record(detect_crisis("Hello"))
-        self.tracker.record(detect_crisis("I want to die"))
-        modifier = self.tracker.get_session_modifier()
-        if self.tracker.state.is_escalating:
-            self.assertIn("escalated", modifier.lower())
-            self.assertIn("NONE", modifier)
-            self.assertIn("CRITICAL", modifier)
-
-    def test_deescalation_modifier(self):
-        """De-escalating session should mention stabilizing."""
-        self.tracker.record(detect_crisis("I want to kill myself"))
-        for _ in range(5):
-            self.tracker.record(detect_crisis("I'm feeling okay"))
-        modifier = self.tracker.get_session_modifier()
-        if self.tracker.state.is_deescalating:
-            self.assertIn("stabilizing", modifier.lower())
-
-    def test_prior_crisis_modifier(self):
-        """Past crisis should be noted even without active escalation."""
-        self.tracker.record(detect_crisis("I want to die"))
-        self.tracker.record(detect_crisis("Feeling a bit better"))
-        modifier = self.tracker.get_session_modifier()
-        # Should note the prior CRITICAL
-        if modifier:
-            self.assertIn("CRITICAL", modifier)
-
-
-class TestUIHints(unittest.TestCase):
-    """Test UI hint generation."""
-
-    def setUp(self):
-        self.tracker = CrisisSessionTracker()
-
-    def test_ui_hints_structure(self):
-        self.tracker.record(detect_crisis("Hello"))
-        hints = self.tracker.get_ui_hints()
-        self.assertIn("session_escalating", hints)
-        self.assertIn("session_deescalating", hints)
-        self.assertIn("session_peak_level", hints)
-        self.assertIn("session_message_count", hints)
-
-    def test_ui_hints_escalation_warning(self):
-        """Escalating session should have warning hint."""
-        self.tracker.record(detect_crisis("Hello"))
-        self.tracker.record(detect_crisis("I want to die"))
-        hints = self.tracker.get_ui_hints()
-        if hints["session_escalating"]:
-            self.assertTrue(hints.get("escalation_warning"))
-            self.assertIn("suggested_action", hints)
-
-
-class TestCheckCrisisWithSession(unittest.TestCase):
-    """Test the convenience function combining detection + session tracking."""
-
-    def test_returns_combined_data(self):
-        tracker = CrisisSessionTracker()
-        result = check_crisis_with_session("I want to die", tracker)
-        self.assertIn("level", result)
-        self.assertIn("session", result)
-        self.assertIn("current_level", result["session"])
-        self.assertIn("peak_level", result["session"])
-        self.assertIn("modifier", result["session"])
-
-    def test_session_updates_across_calls(self):
-        tracker = CrisisSessionTracker()
-        check_crisis_with_session("Hello", tracker)
-        result = check_crisis_with_session("I want to die", tracker)
-        self.assertEqual(result["session"]["message_count"], 2)
-        self.assertEqual(result["session"]["peak_level"], "CRITICAL")
-
-
-class TestPrivacy(unittest.TestCase):
-    """Verify privacy-first design principles."""
-
-    def test_no_persistence_mechanism(self):
-        """Session tracker should have no database, file, or network calls."""
-        import inspect
-        source = inspect.getsource(CrisisSessionTracker)
-        # Should not import database, requests, or file I/O
-        forbidden = ["sqlite", "requests", "urllib", "open(", "httpx", "aiohttp"]
-        for word in forbidden:
-            self.assertNotIn(word, source.lower(),
-                f"Session tracker should not use {word} — privacy-first design")
-
-    def test_state_contained_in_memory(self):
-        """All state should be instance attributes, not module-level."""
-        tracker = CrisisSessionTracker()
-        tracker.record(detect_crisis("I want to die"))
-        # New tracker should have clean state (no global contamination)
-        fresh = CrisisSessionTracker()
-        self.assertEqual(fresh.state.current_level, "NONE")
-
-
-if __name__ == '__main__':
-    unittest.main()