Compare commits
2 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
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9f2038659c | ||
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d5ae0172b3 |
@@ -1 +1,195 @@
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...
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"""Crisis synthesizer — learn from anonymized crisis interactions.
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This is deliberately simple and privacy-preserving. It does not train a model or
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modify detection rules automatically. It only logs metadata, summarizes patterns,
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and suggests human-reviewed keyword weight adjustments.
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"""
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from __future__ import annotations
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import argparse
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import json
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import time
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from collections import Counter, defaultdict
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from pathlib import Path
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from typing import Iterable
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DEFAULT_LOG_PATH = Path.home() / ".the-door" / "crisis-interactions.jsonl"
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LEVELS = ("NONE", "LOW", "MEDIUM", "HIGH", "CRITICAL")
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def build_interaction_event(
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level: str,
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indicators: list[str],
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response_given: str,
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continued_conversation: bool,
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false_positive: bool,
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*,
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now: float | None = None,
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) -> dict:
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return {
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"timestamp": float(time.time() if now is None else now),
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"level": level,
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"indicators": list(indicators),
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"indicator_count": len(indicators),
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"response_given": response_given,
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"continued_conversation": bool(continued_conversation),
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"false_positive": bool(false_positive),
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}
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def append_interaction_event(
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log_path: str | Path,
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*,
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level: str,
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indicators: list[str],
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response_given: str,
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continued_conversation: bool,
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false_positive: bool,
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now: float | None = None,
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) -> dict:
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event = build_interaction_event(
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level,
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indicators,
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response_given,
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continued_conversation,
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false_positive,
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now=now,
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)
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path = Path(log_path)
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path.parent.mkdir(parents=True, exist_ok=True)
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with path.open("a", encoding="utf-8") as handle:
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handle.write(json.dumps(event) + "\n")
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return event
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def load_interaction_events(log_path: str | Path) -> list[dict]:
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path = Path(log_path)
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if not path.exists():
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return []
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events = []
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for line in path.read_text(encoding="utf-8").splitlines():
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if not line.strip():
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continue
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events.append(json.loads(line))
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return events
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def summarize_keywords(events: Iterable[dict]) -> list[dict]:
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counts: Counter[str] = Counter()
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for event in events:
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counts.update(event.get("indicators", []))
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return [{"keyword": keyword, "count": count} for keyword, count in counts.most_common(10)]
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def suggest_keyword_adjustments(events: Iterable[dict], *, min_observations: int = 5) -> list[dict]:
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stats: dict[str, dict[str, int]] = defaultdict(lambda: {
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"observations": 0,
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"true_positive_count": 0,
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"false_positive_count": 0,
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"continued_conversation_count": 0,
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})
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for event in events:
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for keyword in event.get("indicators", []):
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bucket = stats[keyword]
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bucket["observations"] += 1
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if event.get("false_positive"):
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bucket["false_positive_count"] += 1
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else:
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bucket["true_positive_count"] += 1
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if event.get("continued_conversation"):
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bucket["continued_conversation_count"] += 1
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suggestions = []
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for keyword, bucket in sorted(stats.items()):
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if bucket["observations"] < min_observations:
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continue
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fp = bucket["false_positive_count"]
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tp = bucket["true_positive_count"]
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if fp >= min_observations and tp == 0:
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adjustment = "lower_weight"
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rationale = "Observed only false positives across the sample window."
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elif tp >= min_observations and fp == 0:
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adjustment = "raise_weight"
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rationale = "Observed repeated genuine crises with no false positives."
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else:
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adjustment = "observe"
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rationale = "Mixed evidence; keep monitoring before changing weights."
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suggestions.append(
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{
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"keyword": keyword,
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**bucket,
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"suggested_adjustment": adjustment,
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"rationale": rationale,
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}
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)
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return suggestions
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def build_weekly_report(
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events: Iterable[dict],
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*,
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now: float | None = None,
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window_days: int = 7,
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min_observations: int = 3,
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) -> dict:
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current_time = float(time.time() if now is None else now)
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cutoff = current_time - (window_days * 86400)
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filtered = [event for event in events if float(event.get("timestamp", 0)) >= cutoff]
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detections_per_level = {level: 0 for level in LEVELS}
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detected_events = []
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continued_after_intervention = 0
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for event in filtered:
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level = event.get("level", "NONE")
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detections_per_level[level] = detections_per_level.get(level, 0) + 1
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if level != "NONE":
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detected_events.append(event)
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if event.get("continued_conversation"):
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continued_after_intervention += 1
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false_positive_count = sum(1 for event in detected_events if event.get("false_positive"))
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false_positive_estimate = false_positive_count / len(detected_events) if detected_events else 0.0
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return {
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"window_days": window_days,
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"total_events": len(filtered),
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"detections_per_level": detections_per_level,
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"most_common_keywords": summarize_keywords(filtered),
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"false_positive_estimate": false_positive_estimate,
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"continued_after_intervention": continued_after_intervention,
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"keyword_weight_suggestions": suggest_keyword_adjustments(filtered, min_observations=min_observations),
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}
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def render_weekly_report(summary: dict) -> str:
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return json.dumps(summary, indent=2)
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def write_weekly_report(output_path: str | Path, summary: dict) -> Path:
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path = Path(output_path)
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path.parent.mkdir(parents=True, exist_ok=True)
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path.write_text(render_weekly_report(summary) + "\n", encoding="utf-8")
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return path
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def main(argv: list[str] | None = None) -> int:
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parser = argparse.ArgumentParser(description="Summarize anonymized crisis interactions")
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parser.add_argument("--log-path", default=str(DEFAULT_LOG_PATH), help="JSONL crisis interaction log")
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parser.add_argument("--days", type=int, default=7, help="Lookback window in days")
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parser.add_argument("--min-observations", type=int, default=3, help="Minimum observations before suggesting keyword adjustments")
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parser.add_argument("--output", help="Optional file to write the weekly report JSON")
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args = parser.parse_args(argv)
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events = load_interaction_events(args.log_path)
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summary = build_weekly_report(events, window_days=args.days, min_observations=args.min_observations)
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rendered = render_weekly_report(summary)
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print(rendered)
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if args.output:
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write_weekly_report(args.output, summary)
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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70
index.html
70
index.html
@@ -987,33 +987,20 @@ Sovereignty and service always.`;
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// Focus trap: cycle through focusable elements within the crisis overlay
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function getOverlayFocusableElements() {
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return Array.prototype.slice.call(crisisOverlay.querySelectorAll(
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return crisisOverlay.querySelectorAll(
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'a[href], button:not([disabled]), [tabindex]:not([tabindex="-1"])'
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));
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);
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}
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function trapFocusInOverlay(e) {
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if (!crisisOverlay.classList.contains('active')) return;
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if (e.key === 'Escape') {
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e.preventDefault();
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closeOverlay(msgInput);
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return;
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}
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if (e.key !== 'Tab') return;
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var focusable = getOverlayFocusableElements();
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if (focusable.length === 0) return;
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var focusableArray = focusable;
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var first = focusable[0];
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var last = focusable[focusable.length - 1];
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var activeIndex = focusableArray.indexOf(document.activeElement);
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if (activeIndex === -1) {
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e.preventDefault();
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e.shiftKey ? last.focus() : first.focus();
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return;
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}
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if (e.shiftKey) {
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// Shift+Tab: if on first, wrap to last
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@@ -1033,33 +1020,6 @@ Sovereignty and service always.`;
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// Store the element that had focus before the overlay opened
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var _preOverlayFocusElement = null;
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function closeOverlay(restoreFocusTarget) {
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crisisOverlay.classList.remove('active');
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if (overlayTimer) {
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clearInterval(overlayTimer);
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overlayTimer = null;
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}
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// Re-enable background interaction
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var mainApp = document.getElementById('app');
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if (mainApp) mainApp.removeAttribute('inert');
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var chatSection = document.getElementById('chat-area');
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if (chatSection) chatSection.removeAttribute('aria-hidden');
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var footerEl = document.querySelector('footer');
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if (footerEl) footerEl.removeAttribute('aria-hidden');
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if (restoreFocusTarget === _preOverlayFocusElement && _preOverlayFocusElement && typeof _preOverlayFocusElement.focus === 'function') {
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_preOverlayFocusElement.focus();
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} else if (restoreFocusTarget && typeof restoreFocusTarget.focus === 'function') {
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restoreFocusTarget.focus();
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} else if (_preOverlayFocusElement && typeof _preOverlayFocusElement.focus === 'function') {
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_preOverlayFocusElement.focus();
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} else {
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msgInput.focus();
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}
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_preOverlayFocusElement = null;
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}
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function showOverlay() {
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// Save current focus for restoration on dismiss
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_preOverlayFocusElement = document.activeElement;
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@@ -1070,10 +1030,10 @@ Sovereignty and service always.`;
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overlayDismissBtn.textContent = 'Continue to chat (' + countdown + 's)';
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// Disable background interaction via inert attribute
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var mainApp = document.getElementById('app');
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var mainApp = document.querySelector('.app');
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if (mainApp) mainApp.setAttribute('inert', '');
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// Also hide from assistive tech
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var chatSection = document.getElementById('chat-area');
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var chatSection = document.getElementById('chat');
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if (chatSection) chatSection.setAttribute('aria-hidden', 'true');
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var footerEl = document.querySelector('footer');
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if (footerEl) footerEl.setAttribute('aria-hidden', 'true');
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@@ -1100,7 +1060,27 @@ Sovereignty and service always.`;
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overlayDismissBtn.addEventListener('click', function() {
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if (!overlayDismissBtn.disabled) {
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closeOverlay(_preOverlayFocusElement);
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crisisOverlay.classList.remove('active');
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if (overlayTimer) {
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clearInterval(overlayTimer);
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overlayTimer = null;
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}
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// Re-enable background interaction
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var mainApp = document.querySelector('.app');
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if (mainApp) mainApp.removeAttribute('inert');
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var chatSection = document.getElementById('chat');
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if (chatSection) chatSection.removeAttribute('aria-hidden');
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var footerEl = document.querySelector('footer');
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if (footerEl) footerEl.removeAttribute('aria-hidden');
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// Restore focus to the element that had it before the overlay opened
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if (_preOverlayFocusElement && typeof _preOverlayFocusElement.focus === 'function') {
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_preOverlayFocusElement.focus();
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} else {
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msgInput.focus();
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}
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_preOverlayFocusElement = null;
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}
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});
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@@ -1,54 +0,0 @@
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import pathlib
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from playwright.sync_api import sync_playwright
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ROOT = pathlib.Path(__file__).resolve().parents[1]
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INDEX_HTML = ROOT / 'index.html'
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def test_crisis_overlay_supports_keyboard_only_navigation():
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with sync_playwright() as p:
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browser = p.chromium.launch(headless=True)
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page = browser.new_page()
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try:
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page.goto(INDEX_HTML.as_uri())
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page.evaluate(
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"""
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() => {
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window.fetch = () => Promise.reject(new Error('test fetch blocked'));
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window.alert = () => {};
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}
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"""
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)
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page.fill('#msg-input', "I'm going to kill myself tonight")
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page.press('#msg-input', 'Enter')
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page.wait_for_function("document.getElementById('crisis-overlay').classList.contains('active')")
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assert page.evaluate("document.activeElement.classList.contains('overlay-call')") is True
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page.evaluate(
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"""
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() => {
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const btn = document.getElementById('overlay-dismiss-btn');
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btn.disabled = false;
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btn.textContent = 'Continue to chat';
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}
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"""
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)
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page.keyboard.press('Tab')
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assert page.evaluate("document.activeElement.id") == 'overlay-dismiss-btn'
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page.keyboard.press('Tab')
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assert page.evaluate("document.activeElement.classList.contains('overlay-call')") is True
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page.keyboard.press('Shift+Tab')
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assert page.evaluate("document.activeElement.id") == 'overlay-dismiss-btn'
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page.keyboard.press('Escape')
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page.wait_for_function("!document.getElementById('crisis-overlay').classList.contains('active')")
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assert page.evaluate("document.activeElement.id") == 'msg-input'
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finally:
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browser.close()
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111
tests/test_crisis_synthesizer.py
Normal file
111
tests/test_crisis_synthesizer.py
Normal file
@@ -0,0 +1,111 @@
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"""Tests for evolution/crisis_synthesizer.py (issue #36)."""
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from __future__ import annotations
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import importlib.util
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import json
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import pathlib
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import sys
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import tempfile
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import unittest
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ROOT = pathlib.Path(__file__).resolve().parents[1]
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SCRIPT = ROOT / 'evolution' / 'crisis_synthesizer.py'
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spec = importlib.util.spec_from_file_location('crisis_synthesizer', str(SCRIPT))
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mod = importlib.util.module_from_spec(spec)
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sys.modules['crisis_synthesizer'] = mod
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spec.loader.exec_module(mod)
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class TestCrisisSynthesizerEvent(unittest.TestCase):
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def test_build_interaction_event_is_privacy_preserving(self):
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event = mod.build_interaction_event(
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level='CRITICAL',
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indicators=['want_to_die', 'no_way_out'],
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response_given='guardian',
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continued_conversation=True,
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false_positive=False,
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now=1700000000,
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)
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self.assertEqual(event['timestamp'], 1700000000)
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self.assertEqual(event['level'], 'CRITICAL')
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self.assertEqual(event['response_given'], 'guardian')
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self.assertTrue(event['continued_conversation'])
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self.assertFalse(event['false_positive'])
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self.assertEqual(event['indicators'], ['want_to_die', 'no_way_out'])
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for forbidden in ['text', 'message', 'content', 'ip', 'session_id', 'user_id']:
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self.assertNotIn(forbidden, event)
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class TestCrisisSynthesizerStorage(unittest.TestCase):
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def test_append_and_load_events_round_trip(self):
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with tempfile.TemporaryDirectory() as tmp:
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log_path = pathlib.Path(tmp) / 'crisis-events.jsonl'
|
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mod.append_interaction_event(
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log_path,
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level='HIGH',
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indicators=['hopeless'],
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response_given='companion',
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continued_conversation=False,
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false_positive=True,
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now=1700000100,
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)
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events = mod.load_interaction_events(log_path)
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self.assertEqual(len(events), 1)
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self.assertEqual(events[0]['level'], 'HIGH')
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self.assertEqual(events[0]['indicators'], ['hopeless'])
|
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|
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|
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class TestCrisisSynthesizerSummary(unittest.TestCase):
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def test_weekly_report_contains_required_metrics(self):
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events = [
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mod.build_interaction_event('CRITICAL', ['want_to_die'], 'guardian', True, False, now=1700000000),
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mod.build_interaction_event('HIGH', ['hopeless'], 'companion', False, True, now=1700000100),
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mod.build_interaction_event('LOW', ['rough_day'], 'friend', False, False, now=1700000200),
|
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mod.build_interaction_event('CRITICAL', ['want_to_die'], 'guardian', False, False, now=1700000300),
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mod.build_interaction_event('NONE', [], 'friend', False, False, now=1700000400),
|
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]
|
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summary = mod.build_weekly_report(events, now=1700000500, window_days=7)
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self.assertEqual(summary['detections_per_level']['CRITICAL'], 2)
|
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self.assertEqual(summary['detections_per_level']['HIGH'], 1)
|
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self.assertEqual(summary['detections_per_level']['LOW'], 1)
|
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self.assertEqual(summary['detections_per_level']['NONE'], 1)
|
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self.assertEqual(summary['continued_after_intervention'], 1)
|
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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):
|
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events = []
|
||||
for ts in range(3):
|
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events.append(mod.build_interaction_event('CRITICAL', ['want_to_die'], 'guardian', True, False, now=1700000000 + ts))
|
||||
for ts in range(3):
|
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events.append(mod.build_interaction_event('LOW', ['rough_day'], 'friend', False, True, now=1700000100 + ts))
|
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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()
|
||||
Reference in New Issue
Block a user