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Author SHA1 Message Date
Alexander Whitestone
9f2038659c feat: build crisis synthesizer (#36)
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2026-04-17 02:36:30 -04:00
Alexander Whitestone
d5ae0172b3 wip: add crisis synthesizer regression tests 2026-04-17 02:36:30 -04:00
d412939b4f fix: footer /about link to point to static about.html
Fixes #59

The footer links to /about but the repo ships about.html. On a plain static server this results in a 404. Changed to /about.html so the link resolves correctly.
2026-04-17 05:37:40 +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
9 changed files with 895 additions and 3 deletions

View File

@@ -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",
]

View File

@@ -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(),
},
}

View File

@@ -1 +1,195 @@
...
"""Crisis synthesizer — learn from anonymized crisis interactions.
This is deliberately simple and privacy-preserving. It does not train a model or
modify detection rules automatically. It only logs metadata, summarizes patterns,
and suggests human-reviewed keyword weight adjustments.
"""
from __future__ import annotations
import argparse
import json
import time
from collections import Counter, defaultdict
from pathlib import Path
from typing import Iterable
DEFAULT_LOG_PATH = Path.home() / ".the-door" / "crisis-interactions.jsonl"
LEVELS = ("NONE", "LOW", "MEDIUM", "HIGH", "CRITICAL")
def build_interaction_event(
level: str,
indicators: list[str],
response_given: str,
continued_conversation: bool,
false_positive: bool,
*,
now: float | None = None,
) -> dict:
return {
"timestamp": float(time.time() if now is None else now),
"level": level,
"indicators": list(indicators),
"indicator_count": len(indicators),
"response_given": response_given,
"continued_conversation": bool(continued_conversation),
"false_positive": bool(false_positive),
}
def append_interaction_event(
log_path: str | Path,
*,
level: str,
indicators: list[str],
response_given: str,
continued_conversation: bool,
false_positive: bool,
now: float | None = None,
) -> dict:
event = build_interaction_event(
level,
indicators,
response_given,
continued_conversation,
false_positive,
now=now,
)
path = Path(log_path)
path.parent.mkdir(parents=True, exist_ok=True)
with path.open("a", encoding="utf-8") as handle:
handle.write(json.dumps(event) + "\n")
return event
def load_interaction_events(log_path: str | Path) -> list[dict]:
path = Path(log_path)
if not path.exists():
return []
events = []
for line in path.read_text(encoding="utf-8").splitlines():
if not line.strip():
continue
events.append(json.loads(line))
return events
def summarize_keywords(events: Iterable[dict]) -> list[dict]:
counts: Counter[str] = Counter()
for event in events:
counts.update(event.get("indicators", []))
return [{"keyword": keyword, "count": count} for keyword, count in counts.most_common(10)]
def suggest_keyword_adjustments(events: Iterable[dict], *, min_observations: int = 5) -> list[dict]:
stats: dict[str, dict[str, int]] = defaultdict(lambda: {
"observations": 0,
"true_positive_count": 0,
"false_positive_count": 0,
"continued_conversation_count": 0,
})
for event in events:
for keyword in event.get("indicators", []):
bucket = stats[keyword]
bucket["observations"] += 1
if event.get("false_positive"):
bucket["false_positive_count"] += 1
else:
bucket["true_positive_count"] += 1
if event.get("continued_conversation"):
bucket["continued_conversation_count"] += 1
suggestions = []
for keyword, bucket in sorted(stats.items()):
if bucket["observations"] < min_observations:
continue
fp = bucket["false_positive_count"]
tp = bucket["true_positive_count"]
if fp >= min_observations and tp == 0:
adjustment = "lower_weight"
rationale = "Observed only false positives across the sample window."
elif tp >= min_observations and fp == 0:
adjustment = "raise_weight"
rationale = "Observed repeated genuine crises with no false positives."
else:
adjustment = "observe"
rationale = "Mixed evidence; keep monitoring before changing weights."
suggestions.append(
{
"keyword": keyword,
**bucket,
"suggested_adjustment": adjustment,
"rationale": rationale,
}
)
return suggestions
def build_weekly_report(
events: Iterable[dict],
*,
now: float | None = None,
window_days: int = 7,
min_observations: int = 3,
) -> dict:
current_time = float(time.time() if now is None else now)
cutoff = current_time - (window_days * 86400)
filtered = [event for event in events if float(event.get("timestamp", 0)) >= cutoff]
detections_per_level = {level: 0 for level in LEVELS}
detected_events = []
continued_after_intervention = 0
for event in filtered:
level = event.get("level", "NONE")
detections_per_level[level] = detections_per_level.get(level, 0) + 1
if level != "NONE":
detected_events.append(event)
if event.get("continued_conversation"):
continued_after_intervention += 1
false_positive_count = sum(1 for event in detected_events if event.get("false_positive"))
false_positive_estimate = false_positive_count / len(detected_events) if detected_events else 0.0
return {
"window_days": window_days,
"total_events": len(filtered),
"detections_per_level": detections_per_level,
"most_common_keywords": summarize_keywords(filtered),
"false_positive_estimate": false_positive_estimate,
"continued_after_intervention": continued_after_intervention,
"keyword_weight_suggestions": suggest_keyword_adjustments(filtered, min_observations=min_observations),
}
def render_weekly_report(summary: dict) -> str:
return json.dumps(summary, indent=2)
def write_weekly_report(output_path: str | Path, summary: dict) -> Path:
path = Path(output_path)
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(render_weekly_report(summary) + "\n", encoding="utf-8")
return path
def main(argv: list[str] | None = None) -> int:
parser = argparse.ArgumentParser(description="Summarize anonymized crisis interactions")
parser.add_argument("--log-path", default=str(DEFAULT_LOG_PATH), help="JSONL crisis interaction log")
parser.add_argument("--days", type=int, default=7, help="Lookback window in days")
parser.add_argument("--min-observations", type=int, default=3, help="Minimum observations before suggesting keyword adjustments")
parser.add_argument("--output", help="Optional file to write the weekly report JSON")
args = parser.parse_args(argv)
events = load_interaction_events(args.log_path)
summary = build_weekly_report(events, window_days=args.days, min_observations=args.min_observations)
rendered = render_weekly_report(summary)
print(rendered)
if args.output:
write_weekly_report(args.output, summary)
return 0
if __name__ == "__main__":
raise SystemExit(main())

View File

@@ -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

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

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()

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"""
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()