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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
4 changed files with 331 additions and 100 deletions

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@@ -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())

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@@ -987,33 +987,20 @@ Sovereignty and service always.`;
// Focus trap: cycle through focusable elements within the crisis overlay
function getOverlayFocusableElements() {
return Array.prototype.slice.call(crisisOverlay.querySelectorAll(
return crisisOverlay.querySelectorAll(
'a[href], button:not([disabled]), [tabindex]:not([tabindex="-1"])'
));
);
}
function trapFocusInOverlay(e) {
if (!crisisOverlay.classList.contains('active')) return;
if (e.key === 'Escape') {
e.preventDefault();
closeOverlay(msgInput);
return;
}
if (e.key !== 'Tab') return;
var focusable = getOverlayFocusableElements();
if (focusable.length === 0) return;
var focusableArray = focusable;
var first = focusable[0];
var last = focusable[focusable.length - 1];
var activeIndex = focusableArray.indexOf(document.activeElement);
if (activeIndex === -1) {
e.preventDefault();
e.shiftKey ? last.focus() : first.focus();
return;
}
if (e.shiftKey) {
// Shift+Tab: if on first, wrap to last
@@ -1033,33 +1020,6 @@ Sovereignty and service always.`;
// Store the element that had focus before the overlay opened
var _preOverlayFocusElement = null;
function closeOverlay(restoreFocusTarget) {
crisisOverlay.classList.remove('active');
if (overlayTimer) {
clearInterval(overlayTimer);
overlayTimer = null;
}
// Re-enable background interaction
var mainApp = document.getElementById('app');
if (mainApp) mainApp.removeAttribute('inert');
var chatSection = document.getElementById('chat-area');
if (chatSection) chatSection.removeAttribute('aria-hidden');
var footerEl = document.querySelector('footer');
if (footerEl) footerEl.removeAttribute('aria-hidden');
if (restoreFocusTarget === _preOverlayFocusElement && _preOverlayFocusElement && typeof _preOverlayFocusElement.focus === 'function') {
_preOverlayFocusElement.focus();
} else if (restoreFocusTarget && typeof restoreFocusTarget.focus === 'function') {
restoreFocusTarget.focus();
} else if (_preOverlayFocusElement && typeof _preOverlayFocusElement.focus === 'function') {
_preOverlayFocusElement.focus();
} else {
msgInput.focus();
}
_preOverlayFocusElement = null;
}
function showOverlay() {
// Save current focus for restoration on dismiss
_preOverlayFocusElement = document.activeElement;
@@ -1070,10 +1030,10 @@ Sovereignty and service always.`;
overlayDismissBtn.textContent = 'Continue to chat (' + countdown + 's)';
// Disable background interaction via inert attribute
var mainApp = document.getElementById('app');
var mainApp = document.querySelector('.app');
if (mainApp) mainApp.setAttribute('inert', '');
// Also hide from assistive tech
var chatSection = document.getElementById('chat-area');
var chatSection = document.getElementById('chat');
if (chatSection) chatSection.setAttribute('aria-hidden', 'true');
var footerEl = document.querySelector('footer');
if (footerEl) footerEl.setAttribute('aria-hidden', 'true');
@@ -1100,7 +1060,27 @@ Sovereignty and service always.`;
overlayDismissBtn.addEventListener('click', function() {
if (!overlayDismissBtn.disabled) {
closeOverlay(_preOverlayFocusElement);
crisisOverlay.classList.remove('active');
if (overlayTimer) {
clearInterval(overlayTimer);
overlayTimer = null;
}
// Re-enable background interaction
var mainApp = document.querySelector('.app');
if (mainApp) mainApp.removeAttribute('inert');
var chatSection = document.getElementById('chat');
if (chatSection) chatSection.removeAttribute('aria-hidden');
var footerEl = document.querySelector('footer');
if (footerEl) footerEl.removeAttribute('aria-hidden');
// Restore focus to the element that had it before the overlay opened
if (_preOverlayFocusElement && typeof _preOverlayFocusElement.focus === 'function') {
_preOverlayFocusElement.focus();
} else {
msgInput.focus();
}
_preOverlayFocusElement = null;
}
});

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

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@@ -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()