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Author SHA1 Message Date
d56b4abf3b fix(#59): Footer /about link points to missing route
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Change footer link from /about to /about.html so it works
under plain static serving and nginx.

Closes #59
2026-04-17 05:28:45 +00:00
07c582aa08 Merge pull request 'fix: crisis overlay initial focus to enabled Call 988 link (#69)' (#126) from burn/69-1776264183 into main
Merge PR #126: fix: crisis overlay initial focus to enabled Call 988 link (#69)
2026-04-17 01:46:56 +00:00
5f95dc1e39 Merge pull request '[P3] Service worker: cache crisis resources for offline (#41)' (#122) from burn/41-1776264184 into main
Merge PR #122: [P3] Service worker: cache crisis resources for offline (#41)
2026-04-17 01:46:55 +00:00
b1f3cac36d Merge pull request 'feat: session-level crisis tracking and escalation (closes #35)' (#118) from door/issue-35 into main
Merge PR #118: feat: session-level crisis tracking and escalation (closes #35)
2026-04-17 01:46:53 +00:00
07b3f67845 fix: crisis overlay initial focus to enabled Call 988 link (#69)
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2026-04-15 15:09:36 +00:00
c22bbbaf65 fix: crisis overlay initial focus to enabled Call 988 link (#69) 2026-04-15 15:09:32 +00:00
543cb1d40f test: add offline self-containment and retry button tests (#41)
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2026-04-15 14:58:44 +00:00
3cfd01815a feat: session-level crisis tracking and escalation (closes #35)
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2026-04-15 11:49:52 +00:00
5a7ba9f207 feat: session-level crisis tracking and escalation (closes #35) 2026-04-15 11:49:51 +00:00
8ed8f20a17 feat: session-level crisis tracking and escalation (closes #35) 2026-04-15 11:49:49 +00:00
9d7d26033e feat: session-level crisis tracking and escalation (closes #35) 2026-04-15 11:49:47 +00:00
8 changed files with 589 additions and 313 deletions

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@@ -7,6 +7,7 @@ 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 .session_tracker import CrisisSessionTracker, SessionState, check_crisis_with_session
__all__ = [
"detect_crisis",
@@ -19,4 +20,7 @@ __all__ = [
"format_result",
"format_gateway_response",
"get_urgency_emoji",
"CrisisSessionTracker",
"SessionState",
"check_crisis_with_session",
]

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@@ -1,311 +0,0 @@
#!/usr/bin/env python3
"""Behavioral Pattern Detection for Crisis Signals (#133).
Detects crisis risk from session-level behavioral patterns:
- Message frequency (increasing urgency = rapid-fire messages)
- Time-of-day (late-night messages correlate with crisis risk)
- Withdrawal (decreasing communication after engagement)
- Escalation (crisis indicators getting stronger over time)
Usage:
from crisis.behavioral import analyze_session, BehavioralSignal
signals = analyze_session(messages)
for sig in signals:
if sig.risk_level == "HIGH":
# Escalate to crisis protocol
pass
"""
import math
from dataclasses import dataclass, field
from datetime import datetime, timezone
from typing import Optional
@dataclass
class Message:
"""A single message in a session."""
timestamp: datetime
content: str
crisis_score: float = 0.0 # 0.0-1.0 from text detector
role: str = "user" # "user" or "assistant"
@dataclass
class BehavioralSignal:
"""A detected behavioral pattern indicating crisis risk."""
signal_type: str # "frequency", "time", "withdrawal", "escalation"
risk_level: str # "LOW", "MEDIUM", "HIGH"
description: str
evidence: list = field(default_factory=list)
score: float = 0.0 # 0.0-1.0
# ── Configuration ─────────────────────────────────────────────────────────────
# Message frequency thresholds (messages per hour)
FREQ_NORMAL = 6 # <6/hr = normal
FREQ_ELEVATED = 15 # 6-15/hr = elevated
FREQ_HIGH = 30 # >30/hr = high urgency
# Time-of-day risk windows (hours in 24h format)
HIGH_RISK_HOURS = set(range(1, 5)) # 1AM-4AM
ELEVATED_RISK_HOURS = set(range(22, 24)) | set(range(5, 7)) # 10PM-12AM, 5AM-7AM
# Withdrawal: messages/day trend
WITHDRAWAL_THRESHOLD = 0.3 # Current day < 30% of average = withdrawal
# Escalation: crisis score trend
ESCALATION_WINDOW = 5 # Look at last N messages
# ── Frequency Analysis ────────────────────────────────────────────────────────
def _analyze_frequency(messages: list[Message]) -> Optional[BehavioralSignal]:
"""Detect rapid-fire messaging (urgency indicator)."""
if len(messages) < 3:
return None
user_msgs = [m for m in messages if m.role == "user"]
if len(user_msgs) < 3:
return None
# Calculate messages per hour in the most recent window
recent = user_msgs[-10:] # Last 10 user messages
if len(recent) < 2:
return None
time_span = (recent[-1].timestamp - recent[0].timestamp).total_seconds()
if time_span <= 0:
return None
msg_per_hour = len(recent) / (time_span / 3600)
if msg_per_hour >= FREQ_HIGH:
return BehavioralSignal(
signal_type="frequency",
risk_level="HIGH",
description=f"Very rapid messaging: {msg_per_hour:.0f} messages/hour",
evidence=[f"Last {len(recent)} messages in {time_span/60:.0f} minutes"],
score=min(1.0, msg_per_hour / FREQ_HIGH),
)
elif msg_per_hour >= FREQ_ELEVATED:
return BehavioralSignal(
signal_type="frequency",
risk_level="MEDIUM",
description=f"Elevated messaging rate: {msg_per_hour:.0f} messages/hour",
evidence=[f"Last {len(recent)} messages in {time_span/60:.0f} minutes"],
score=msg_per_hour / FREQ_HIGH,
)
return None
# ── Time-of-Day Analysis ─────────────────────────────────────────────────────
def _analyze_time(messages: list[Message]) -> Optional[BehavioralSignal]:
"""Detect late-night messaging (correlates with crisis risk)."""
if not messages:
return None
# Check most recent messages
recent = messages[-5:]
late_night_count = sum(1 for m in recent if m.timestamp.hour in HIGH_RISK_HOURS)
elevated_count = sum(1 for m in recent if m.timestamp.hour in ELEVATED_RISK_HOURS)
if late_night_count >= 3:
return BehavioralSignal(
signal_type="time",
risk_level="HIGH",
description=f"Late-night messaging pattern: {late_night_count}/5 messages between 1-4 AM",
evidence=[f"Message at {m.timestamp.strftime('%H:%M')}" for m in recent if m.timestamp.hour in HIGH_RISK_HOURS],
score=late_night_count / len(recent),
)
elif elevated_count >= 3:
return BehavioralSignal(
signal_type="time",
risk_level="MEDIUM",
description=f"Off-hours messaging: {elevated_count}/5 messages in elevated-risk window",
evidence=[f"Message at {m.timestamp.strftime('%H:%M')}" for m in recent if m.timestamp.hour in ELEVATED_RISK_HOURS],
score=elevated_count / len(recent) * 0.5,
)
return None
# ── Withdrawal Detection ──────────────────────────────────────────────────────
def _analyze_withdrawal(messages: list[Message]) -> Optional[BehavioralSignal]:
"""Detect communication withdrawal (decreasing engagement)."""
user_msgs = [m for m in messages if m.role == "user"]
if len(user_msgs) < 10:
return None
# Split into first half and second half
mid = len(user_msgs) // 2
first_half = user_msgs[:mid]
second_half = user_msgs[mid:]
# Average message length as engagement proxy
first_avg_len = sum(len(m.content) for m in first_half) / len(first_half)
second_avg_len = sum(len(m.content) for m in second_half) / len(second_half)
# Time between messages
def avg_gap(msgs):
if len(msgs) < 2:
return 0
gaps = [(msgs[i+1].timestamp - msgs[i].timestamp).total_seconds() for i in range(len(msgs)-1)]
return sum(gaps) / len(gaps)
first_gap = avg_gap(first_half)
second_gap = avg_gap(second_half)
# Withdrawal = shorter messages AND longer gaps
length_ratio = second_avg_len / first_avg_len if first_avg_len > 0 else 1.0
gap_ratio = second_gap / first_gap if first_gap > 0 else 1.0
if length_ratio < 0.5 and gap_ratio > 2.0:
return BehavioralSignal(
signal_type="withdrawal",
risk_level="HIGH",
description="Significant withdrawal: messages shorter and less frequent",
evidence=[
f"Message length: {first_avg_len:.0f} -> {second_avg_len:.0f} chars ({length_ratio:.0%})",
f"Message gap: {first_gap/60:.0f}min -> {second_gap/60:.0f}min ({gap_ratio:.1f}x)",
],
score=min(1.0, (1 - length_ratio) * 0.5 + (gap_ratio - 1) * 0.25),
)
elif length_ratio < 0.7 or gap_ratio > 1.5:
return BehavioralSignal(
signal_type="withdrawal",
risk_level="MEDIUM",
description="Moderate withdrawal: engagement decreasing",
evidence=[
f"Message length: {first_avg_len:.0f} -> {second_avg_len:.0f} chars",
f"Message gap: {first_gap/60:.0f}min -> {second_gap/60:.0f}min",
],
score=(1 - length_ratio) * 0.3 + (gap_ratio - 1) * 0.15,
)
return None
# ── Escalation Detection ─────────────────────────────────────────────────────
def _analyze_escalation(messages: list[Message]) -> Optional[BehavioralSignal]:
"""Detect rising crisis scores over recent messages."""
user_msgs = [m for m in messages if m.role == "user" and m.crisis_score > 0]
if len(user_msgs) < ESCALATION_WINDOW:
return None
recent = user_msgs[-ESCALATION_WINDOW:]
scores = [m.crisis_score for m in recent]
# Check for upward trend
if len(scores) < 3:
return None
# Simple linear trend: is score increasing?
first_half_avg = sum(scores[:len(scores)//2]) / (len(scores)//2)
second_half_avg = sum(scores[len(scores)//2:]) / (len(scores) - len(scores)//2)
if second_half_avg > first_half_avg * 1.5 and second_half_avg > 0.5:
return BehavioralSignal(
signal_type="escalation",
risk_level="HIGH",
description=f"Crisis escalation detected: scores rising from {first_half_avg:.2f} to {second_half_avg:.2f}",
evidence=[f"Score {i+1}: {s:.2f}" for i, s in enumerate(scores)],
score=min(1.0, second_half_avg),
)
elif second_half_avg > first_half_avg * 1.2 and second_half_avg > 0.3:
return BehavioralSignal(
signal_type="escalation",
risk_level="MEDIUM",
description=f"Mild escalation: scores trending up",
evidence=[f"Score {i+1}: {s:.2f}" for i, s in enumerate(scores)],
score=second_half_avg * 0.5,
)
return None
# ── Combined Analysis ─────────────────────────────────────────────────────────
def analyze_session(messages: list[Message]) -> list[BehavioralSignal]:
"""Analyze a session for behavioral crisis signals.
Args:
messages: List of Message objects with timestamps, content, and crisis scores.
Returns:
List of BehavioralSignal objects, sorted by risk level (HIGH first).
"""
signals = []
freq = _analyze_frequency(messages)
if freq:
signals.append(freq)
time_sig = _analyze_time(messages)
if time_sig:
signals.append(time_sig)
withdrawal = _analyze_withdrawal(messages)
if withdrawal:
signals.append(withdrawal)
escalation = _analyze_escalation(messages)
if escalation:
signals.append(escalation)
# Sort: HIGH first, then MEDIUM, then LOW
risk_order = {"HIGH": 0, "MEDIUM": 1, "LOW": 2}
signals.sort(key=lambda s: (risk_order.get(s.risk_level, 9), -s.score))
return signals
def get_session_risk_level(signals: list[BehavioralSignal]) -> str:
"""Get overall session risk from behavioral signals."""
if not signals:
return "NONE"
if any(s.risk_level == "HIGH" for s in signals):
return "HIGH"
if any(s.risk_level == "MEDIUM" for s in signals):
return "MEDIUM"
return "LOW"
# ── Self-Test ─────────────────────────────────────────────────────────────────
if __name__ == "__main__":
from datetime import timedelta
now = datetime.now(timezone.utc)
# Test: rapid-fire messaging
rapid_msgs = [
Message(timestamp=now - timedelta(minutes=i), content="help me", role="user")
for i in range(20, 0, -1)
]
signals = analyze_session(rapid_msgs)
print(f"Rapid-fire: {[s.signal_type + ':' + s.risk_level for s in signals]}")
assert any(s.signal_type == "frequency" for s in signals), "Should detect frequency"
# Test: late-night
late_msgs = [
Message(timestamp=now.replace(hour=2, minute=i*5), content="cant sleep", role="user")
for i in range(5)
]
signals = analyze_session(late_msgs)
print(f"Late-night: {[s.signal_type + ':' + s.risk_level for s in signals]}")
assert any(s.signal_type == "time" for s in signals), "Should detect time"
# Test: escalation
esc_msgs = [
Message(timestamp=now - timedelta(minutes=i*10), content="feeling bad",
role="user", crisis_score=0.1 + i*0.15)
for i in range(5, 0, -1)
]
signals = analyze_session(esc_msgs)
print(f"Escalation: {[s.signal_type + ':' + s.risk_level for s in signals]}")
assert any(s.signal_type == "escalation" for s in signals), "Should detect escalation"
print("\nAll self-tests passed!")

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

259
crisis/session_tracker.py Normal file
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@@ -0,0 +1,259 @@
"""
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 .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
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
@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()
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,
)
def record(self, detection: CrisisDetectionResult) -> SessionState:
"""
Record a crisis detection result for the current message.
Returns updated SessionState.
"""
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
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."
)
if s.peak_level in ("CRITICAL", "HIGH") and s.current_level not in ("CRITICAL", "HIGH"):
return (
f"User previously reached {s.peak_level} crisis level "
f"this session (currently {s.current_level}). "
"Continue with care and awareness of the earlier crisis."
)
return ""
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,
}
if s.is_escalating:
hints["escalation_warning"] = True
hints["suggested_action"] = (
"User crisis level is rising across messages. "
"Consider increasing intervention level."
)
return hints
def check_crisis_with_session(
text: str,
tracker: CrisisSessionTracker,
) -> 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)
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(),
},
}

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@@ -680,7 +680,7 @@ html, body {
<!-- Footer -->
<footer id="footer">
<a href="/about" aria-label="About The Door">about</a>
<a href="/about.html" aria-label="About The Door">about</a>
<button id="safety-plan-btn" aria-label="Open My Safety Plan">my safety plan</button>
<button id="clear-chat-btn" aria-label="Clear chat history">clear chat</button>
</footer>
@@ -808,6 +808,7 @@ 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');
@@ -1050,7 +1051,8 @@ Sovereignty and service always.`;
}
}, 1000);
overlayDismissBtn.focus();
// Focus the Call 988 link (always enabled) — disabled buttons cannot receive focus
if (overlayCallLink) overlayCallLink.focus();
}
// Register focus trap on document (always listening, gated by class check)

View File

@@ -52,6 +52,34 @@ class TestCrisisOverlayFocusTrap(unittest.TestCase):
'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()

View File

@@ -50,6 +50,22 @@ 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()

View File

@@ -0,0 +1,277 @@
"""
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()