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15 Commits
door/issue
...
fix/130
| Author | SHA1 | Date | |
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| 9d7d26033e |
@@ -14,6 +14,8 @@ Usage:
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import json
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from typing import Optional
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from image_screening import screen_image_signals
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from .detect import detect_crisis, CrisisDetectionResult, format_result
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from .compassion_router import router
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from .response import (
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@@ -50,6 +52,67 @@ def check_crisis(text: str) -> dict:
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}
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def _image_detection_from_score(image_result) -> CrisisDetectionResult:
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if image_result.crisis_image_score == "critical":
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return CrisisDetectionResult(
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level="CRITICAL",
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indicators=list(image_result.signals_detected),
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recommended_action="Show crisis overlay and surface 988 immediately.",
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score=image_result.distress_score,
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)
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if image_result.crisis_image_score == "concerning":
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return CrisisDetectionResult(
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level="HIGH",
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indicators=list(image_result.signals_detected),
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recommended_action="Show crisis panel, surface 988, and request human review.",
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score=image_result.distress_score,
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)
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return CrisisDetectionResult(
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level="NONE",
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indicators=list(image_result.signals_detected),
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recommended_action="No crisis action required.",
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score=image_result.distress_score,
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)
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def check_image_crisis(
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*,
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image_path: Optional[str] = None,
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ocr_text: str = "",
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labels: Optional[list[str]] = None,
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manual_notes: str = "",
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visual_flags: Optional[list[str]] = None,
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) -> dict:
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"""Gateway-integrated image crisis check using the local screening slice."""
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image_result = screen_image_signals(
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image_path=image_path,
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ocr_text=ocr_text,
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labels=labels,
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manual_notes=manual_notes,
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visual_flags=visual_flags,
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)
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detection = _image_detection_from_score(image_result)
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response = generate_response(detection)
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return {
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"level": detection.level,
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"image_score": image_result.crisis_image_score,
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"score": detection.score,
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"indicators": detection.indicators,
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"recommended_action": detection.recommended_action,
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"timmy_message": response.timmy_message,
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"ui": {
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"show_crisis_panel": response.show_crisis_panel,
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"show_overlay": response.show_overlay,
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"provide_988": response.provide_988,
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},
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"escalate": response.escalate,
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"requires_human_review": image_result.requires_human_review,
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"grounded_scope": image_result.grounded_scope,
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"screening": image_result.to_dict(),
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}
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def get_system_prompt(base_prompt: str, text: str = "") -> str:
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"""
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Sovereign Heart System Prompt Override.
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195
image_screening.py
Normal file
195
image_screening.py
Normal file
@@ -0,0 +1,195 @@
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"""
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image_screening.py — local image crisis screening slice for epic #130.
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Grounded scope:
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- screens OCR text, upstream object labels, and operator notes for crisis signals
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- intentionally does NOT claim raw computer-vision understanding of pixels
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- designed to plug into future multimodal scoring once a dedicated image model lands
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"""
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from __future__ import annotations
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from dataclasses import asdict, dataclass, field
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from typing import Iterable, List, Optional
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from crisis.detect import detect_crisis
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DIRECT_SELF_HARM_LABELS = {
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"blood",
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"blade",
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"razor",
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"knife",
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"scissors",
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"noose",
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"ligature",
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"hanging",
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"pills",
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"pill bottle",
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"overdose",
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"gun",
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"firearm",
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"rope",
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"cuts",
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"self-harm",
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"suicide note",
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"goodbye letter",
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}
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INJURY_LABELS = {
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"wound",
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"wounds",
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"bruise",
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"bruises",
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"bandage",
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"bandages",
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"injury",
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"injuries",
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"scar",
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"scars",
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"burn",
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"burns",
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"bleeding",
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}
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HIGH_RISK_SCENE_LABELS = {
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"bridge edge",
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"rooftop edge",
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"train tracks",
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"ledge",
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"cliff edge",
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"dark room",
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"bathroom floor",
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"hospital wristband",
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"suicide note",
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"goodbye letter",
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}
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FAREWELL_TEXT_PHRASES = {
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"goodbye",
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"giving away",
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"final post",
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"last message",
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"see you on the other side",
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}
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@dataclass
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class ImageScreeningResult:
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ocr_text: str = ""
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labels: List[str] = field(default_factory=list)
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visual_flags: List[str] = field(default_factory=list)
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distress_score: float = 0.0
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crisis_image_score: str = "safe"
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requires_human_review: bool = False
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signals_detected: List[str] = field(default_factory=list)
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grounded_scope: str = (
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"heuristic screening over OCR text, upstream labels, and operator notes; "
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"raw vision-model inference is not implemented in this slice"
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)
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def to_dict(self) -> dict:
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return asdict(self)
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def _normalize_items(values: Optional[Iterable[str]]) -> List[str]:
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if not values:
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return []
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normalized = []
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for value in values:
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text = str(value).strip().lower()
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if text:
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normalized.append(text)
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return normalized
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def _match_keywords(haystack: str, keywords: set[str]) -> List[str]:
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matches = []
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for keyword in keywords:
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if keyword in haystack:
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matches.append(keyword)
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return sorted(set(matches))
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def screen_image_signals(
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image_path: Optional[str] = None,
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*,
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ocr_text: str = "",
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labels: Optional[Iterable[str]] = None,
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manual_notes: str = "",
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visual_flags: Optional[Iterable[str]] = None,
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) -> ImageScreeningResult:
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"""
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Score image-related crisis evidence without pretending to do full CV.
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Inputs are deliberately grounded in what the repo can actually support today:
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- OCR text extracted upstream from screenshots/photos
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- object labels supplied by a local model or operator
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- manual operator notes about visible scene context
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- optional visual flags from any upstream preprocessor
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"""
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normalized_labels = _normalize_items(labels)
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normalized_flags = _normalize_items(visual_flags)
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normalized_notes = str(manual_notes or "").strip().lower()
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normalized_ocr = str(ocr_text or "").strip()
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combined_label_text = " ".join(normalized_labels + normalized_flags + ([normalized_notes] if normalized_notes else []))
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crisis_text = " ".join(part for part in [normalized_ocr, normalized_notes] if part).strip()
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direct_matches = _match_keywords(combined_label_text, DIRECT_SELF_HARM_LABELS)
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injury_matches = _match_keywords(combined_label_text, INJURY_LABELS)
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scene_matches = _match_keywords(combined_label_text, HIGH_RISK_SCENE_LABELS)
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farewell_matches = _match_keywords(crisis_text.lower(), FAREWELL_TEXT_PHRASES)
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text_detection = detect_crisis(crisis_text) if crisis_text else None
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signals: List[str] = []
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score = 0.0
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if direct_matches:
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score = max(score, 0.85)
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for match in direct_matches:
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signals.append(f"direct_self_harm_label:{match}")
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if injury_matches:
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score = max(score, 0.55)
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for match in injury_matches:
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signals.append(f"injury_indicator:{match}")
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if scene_matches:
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score = max(score, 0.4)
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for match in scene_matches:
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signals.append(f"high_risk_scene:{match}")
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if farewell_matches:
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score = max(score, 0.85)
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for match in farewell_matches:
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signals.append(f"farewell_text:{match}")
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if text_detection and text_detection.level != "NONE":
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score = max(score, min(1.0, text_detection.score))
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signals.append(f"ocr_crisis_level:{text_detection.level}")
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for indicator in text_detection.indicators[:3]:
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signals.append(f"ocr_indicator:{indicator}")
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if direct_matches and text_detection and text_detection.level in {"HIGH", "CRITICAL"}:
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score = min(1.0, max(score, 0.95))
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signals.append("cross_modal_confirmation:text_plus_visual")
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if direct_matches or (text_detection and text_detection.level == "CRITICAL") or score >= 0.85:
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crisis_image_score = "critical"
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elif score >= 0.4 or (text_detection and text_detection.level in {"HIGH", "MEDIUM"}):
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crisis_image_score = "concerning"
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else:
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crisis_image_score = "safe"
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requires_human_review = score >= 0.4 or bool(direct_matches)
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return ImageScreeningResult(
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ocr_text=normalized_ocr,
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labels=list(normalized_labels),
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visual_flags=list(normalized_flags),
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distress_score=round(score, 4),
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crisis_image_score=crisis_image_score,
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requires_human_review=requires_human_review,
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signals_detected=signals,
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)
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45
index.html
45
index.html
@@ -72,31 +72,6 @@ html, body {
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outline-offset: 2px;
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}
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/* Subtle safety plan button in banner — always visible */
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#banner-safety-plan-btn {
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background: none;
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border: 1px solid #6e7681;
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color: #8b949e;
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cursor: pointer;
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padding: 3px 8px;
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border-radius: 4px;
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font-size: 0.75rem;
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display: flex;
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align-items: center;
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gap: 4px;
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transition: background 0.2s, border-color 0.2s, color 0.2s;
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flex-shrink: 0;
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}
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#banner-safety-plan-btn:hover,
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#banner-safety-plan-btn:focus {
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background: rgba(139, 148, 158, 0.15);
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border-color: #8b949e;
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color: #e6edf3;
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outline: 2px solid #58a6ff;
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outline-offset: 2px;
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}
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#connection-status {
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font-size: 0.7rem;
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color: #6e7681;
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@@ -650,10 +625,6 @@ html, body {
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<a href="tel:988" aria-label="Call 988 Suicide and Crisis Lifeline">
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988 Suicide & Crisis Lifeline — Call or text 988
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</a>
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<button id="banner-safety-plan-btn" aria-label="Open my safety plan" title="My Safety Plan">
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<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z"/><polyline points="14 2 14 8 20 8"/><line x1="16" y1="13" x2="8" y2="13"/><line x1="16" y1="17" x2="8" y2="17"/><polyline points="10 9 9 9 8 9"/></svg>
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<span class="sr-only">My Safety Plan</span>
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</button>
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<div id="connection-status" aria-hidden="true">
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<span class="status-dot"></span>
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<span id="status-text">Online</span>
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@@ -709,7 +680,7 @@ html, body {
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<!-- Footer -->
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<footer id="footer">
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<a href="/about" aria-label="About The Door">about</a>
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<a href="/about.html" aria-label="About The Door">about</a>
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<button id="safety-plan-btn" aria-label="Open My Safety Plan">my safety plan</button>
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<button id="clear-chat-btn" aria-label="Clear chat history">clear chat</button>
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</footer>
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@@ -837,13 +808,13 @@ Sovereignty and service always.`;
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var crisisPanel = document.getElementById('crisis-panel');
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var crisisOverlay = document.getElementById('crisis-overlay');
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var overlayDismissBtn = document.getElementById('overlay-dismiss-btn');
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var overlayCallLink = document.querySelector('.overlay-call');
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var statusDot = document.querySelector('.status-dot');
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var statusText = document.getElementById('status-text');
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// Safety Plan Elements
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var safetyPlanBtn = document.getElementById('safety-plan-btn');
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var crisisSafetyPlanBtn = document.getElementById('crisis-safety-plan-btn');
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var bannerSafetyPlanBtn = document.getElementById('banner-safety-plan-btn');
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var safetyPlanModal = document.getElementById('safety-plan-modal');
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var closeSafetyPlan = document.getElementById('close-safety-plan');
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var cancelSafetyPlan = document.getElementById('cancel-safety-plan');
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@@ -1080,7 +1051,8 @@ Sovereignty and service always.`;
|
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}
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}, 1000);
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overlayDismissBtn.focus();
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// Focus the Call 988 link (always enabled) — disabled buttons cannot receive focus
|
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if (overlayCallLink) overlayCallLink.focus();
|
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}
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|
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// Register focus trap on document (always listening, gated by class check)
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@@ -1329,15 +1301,6 @@ Sovereignty and service always.`;
|
||||
});
|
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}
|
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|
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// Banner safety plan button — always visible in header
|
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if (bannerSafetyPlanBtn) {
|
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bannerSafetyPlanBtn.addEventListener('click', function() {
|
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loadSafetyPlan();
|
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safetyPlanModal.classList.add('active');
|
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_activateSafetyPlanFocusTrap(bannerSafetyPlanBtn);
|
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});
|
||||
}
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|
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// ===== TEXTAREA AUTO-RESIZE =====
|
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msgInput.addEventListener('input', function() {
|
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this.style.height = 'auto';
|
||||
|
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@@ -52,6 +52,34 @@ class TestCrisisOverlayFocusTrap(unittest.TestCase):
|
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'Expected overlay dismissal to restore focus to the prior target.',
|
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)
|
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|
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def test_overlay_initial_focus_targets_enabled_call_link(self):
|
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"""Overlay must focus the Call 988 link, not the disabled dismiss button."""
|
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# Find the showOverlay function body (up to the closing of the setInterval callback
|
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# and the focus call that follows)
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show_start = self.html.find('function showOverlay()')
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self.assertGreater(show_start, -1, "showOverlay function not found")
|
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# Find the focus call within showOverlay (before the next function registration)
|
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focus_section = self.html[show_start:show_start + 2000]
|
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self.assertIn(
|
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'overlayCallLink',
|
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focus_section,
|
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"Expected showOverlay to reference overlayCallLink for initial focus.",
|
||||
)
|
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# Ensure the old buggy pattern is gone
|
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focus_line_region = self.html[show_start + 800:show_start + 1200]
|
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self.assertNotIn(
|
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'overlayDismissBtn.focus()',
|
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focus_line_region,
|
||||
"showOverlay must not focus the disabled dismiss button.",
|
||||
)
|
||||
|
||||
def test_overlay_call_link_variable_is_declared(self):
|
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self.assertIn(
|
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"querySelector('.overlay-call')",
|
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self.html,
|
||||
"Expected a JS reference to the .overlay-call link element.",
|
||||
)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
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unittest.main()
|
||||
|
||||
115
tests/test_image_screening.py
Normal file
115
tests/test_image_screening.py
Normal file
@@ -0,0 +1,115 @@
|
||||
"""Tests for local image crisis screening slice under epic #130."""
|
||||
|
||||
import os
|
||||
import sys
|
||||
import unittest
|
||||
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from crisis.gateway import check_image_crisis
|
||||
from image_screening import ImageScreeningResult, screen_image_signals
|
||||
|
||||
|
||||
class TestImageScreeningResult(unittest.TestCase):
|
||||
def test_to_dict_preserves_core_fields(self):
|
||||
result = ImageScreeningResult(
|
||||
ocr_text="help me",
|
||||
labels=["blood"],
|
||||
visual_flags=["dark_scene"],
|
||||
distress_score=0.8,
|
||||
requires_human_review=True,
|
||||
signals_detected=["direct_self_harm_label:blood"],
|
||||
)
|
||||
|
||||
data = result.to_dict()
|
||||
self.assertEqual(data["ocr_text"], "help me")
|
||||
self.assertEqual(data["labels"], ["blood"])
|
||||
self.assertTrue(data["requires_human_review"])
|
||||
|
||||
|
||||
class TestScreenImageSignals(unittest.TestCase):
|
||||
def test_direct_self_harm_labels_trigger_high_risk(self):
|
||||
result = screen_image_signals(
|
||||
labels=["razor blade", "blood droplets"],
|
||||
manual_notes="photo of fresh cuts on forearm",
|
||||
)
|
||||
|
||||
self.assertEqual(result.crisis_image_score, "critical")
|
||||
self.assertGreaterEqual(result.distress_score, 0.8)
|
||||
self.assertTrue(result.requires_human_review)
|
||||
self.assertTrue(any("self_harm" in signal for signal in result.signals_detected))
|
||||
|
||||
def test_ocr_text_uses_existing_crisis_detector(self):
|
||||
result = screen_image_signals(
|
||||
ocr_text="I want to kill myself tonight",
|
||||
labels=["handwritten note"],
|
||||
)
|
||||
|
||||
self.assertGreaterEqual(result.distress_score, 0.7)
|
||||
self.assertTrue(result.requires_human_review)
|
||||
self.assertTrue(any(signal.startswith("ocr_crisis_level:") for signal in result.signals_detected))
|
||||
|
||||
def test_neutral_image_stays_low_risk(self):
|
||||
result = screen_image_signals(
|
||||
labels=["dog", "park", "sunlight"],
|
||||
manual_notes="family outing in daylight",
|
||||
)
|
||||
|
||||
self.assertEqual(result.crisis_image_score, "safe")
|
||||
self.assertLess(result.distress_score, 0.2)
|
||||
self.assertFalse(result.requires_human_review)
|
||||
self.assertEqual(result.signals_detected, [])
|
||||
|
||||
def test_gateway_image_check_triggers_overlay_for_critical_images(self):
|
||||
result = check_image_crisis(
|
||||
labels=["razor blade", "blood droplets"],
|
||||
manual_notes="photo of fresh cuts on forearm",
|
||||
)
|
||||
|
||||
self.assertEqual(result["level"], "CRITICAL")
|
||||
self.assertEqual(result["image_score"], "critical")
|
||||
self.assertTrue(result["ui"]["show_overlay"])
|
||||
self.assertTrue(result["ui"]["provide_988"])
|
||||
|
||||
def test_twenty_sample_cases_cover_safe_concerning_and_critical_outputs(self):
|
||||
cases = [
|
||||
{"name": "park-dog", "expected": "safe", "labels": ["dog", "park", "sunlight"], "manual_notes": "family outing in daylight"},
|
||||
{"name": "birthday-cake", "expected": "safe", "labels": ["cake", "balloons"], "manual_notes": "birthday party at home"},
|
||||
{"name": "kitchen-cooking", "expected": "safe", "labels": ["pan", "vegetables"], "manual_notes": "preparing dinner"},
|
||||
{"name": "beach-trip", "expected": "safe", "labels": ["ocean", "sand", "towel"], "manual_notes": "beach vacation photo"},
|
||||
{"name": "graduation", "expected": "safe", "labels": ["cap", "gown", "smile"], "manual_notes": "graduation ceremony"},
|
||||
{"name": "bookstore", "expected": "safe", "labels": ["books", "shelf"], "manual_notes": "browsing a bookstore"},
|
||||
{"name": "pets-on-couch", "expected": "safe", "labels": ["cat", "blanket"], "manual_notes": "relaxing at home"},
|
||||
{"name": "garden-flowers", "expected": "safe", "labels": ["flowers", "tree", "bench"], "manual_notes": "community garden"},
|
||||
{"name": "coffee-shop", "expected": "safe", "labels": ["coffee", "laptop"], "manual_notes": "studying in a cafe"},
|
||||
{"name": "family-roadtrip", "expected": "safe", "labels": ["car", "mountains"], "manual_notes": "road trip snapshot"},
|
||||
{"name": "bridge-edge", "expected": "concerning", "labels": ["bridge edge", "night"], "manual_notes": "standing alone near railing"},
|
||||
{"name": "pill-bottle", "expected": "critical", "labels": ["pill bottle", "pills"], "manual_notes": "many loose pills on table"},
|
||||
{"name": "dark-room", "expected": "concerning", "labels": ["dark room"], "manual_notes": "empty bedroom with packed boxes"},
|
||||
{"name": "train-tracks", "expected": "concerning", "labels": ["train tracks"], "manual_notes": "person sitting nearby at dusk"},
|
||||
{"name": "wrist-bandage", "expected": "concerning", "labels": ["bandage"], "manual_notes": "wrapped forearm on bathroom floor"},
|
||||
{"name": "goodbye-letter", "expected": "critical", "labels": ["goodbye letter"], "ocr_text": "goodbye everyone i love you"},
|
||||
{"name": "crisis-search", "expected": "critical", "labels": ["phone screenshot"], "ocr_text": "best way to kill myself painlessly"},
|
||||
{"name": "hospital-wristband", "expected": "concerning", "labels": ["hospital wristband"], "manual_notes": "alone in dim emergency room"},
|
||||
{"name": "fresh-cuts", "expected": "critical", "labels": ["blood", "razor"], "manual_notes": "fresh cuts on forearm"},
|
||||
{"name": "empty-room-giveaway", "expected": "critical", "labels": ["empty room"], "ocr_text": "giving away all my things goodbye"},
|
||||
]
|
||||
|
||||
seen = {"safe": 0, "concerning": 0, "critical": 0}
|
||||
for case in cases:
|
||||
result = screen_image_signals(
|
||||
ocr_text=case.get("ocr_text", ""),
|
||||
labels=case.get("labels", []),
|
||||
manual_notes=case.get("manual_notes", ""),
|
||||
)
|
||||
self.assertEqual(result.crisis_image_score, case["expected"], case["name"])
|
||||
seen[case["expected"]] += 1
|
||||
|
||||
self.assertEqual(sum(seen.values()), 20)
|
||||
self.assertEqual(seen["safe"], 10)
|
||||
self.assertGreaterEqual(seen["concerning"], 5)
|
||||
self.assertGreaterEqual(seen["critical"], 5)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
@@ -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()
|
||||
|
||||
Reference in New Issue
Block a user