feat: complete production hardening implementation, specialty canonicalization, google-genai migration, voice reliability, sqlite concurrency, and test suite consolidation

ai-patient-onboarding/app/domain/models/extraction.py

@@ -0,0 +1,28 @@
+"""
+Extraction result and question intent domain models.
+"""
+
+from typing import Any, Dict, List, Optional
+from pydantic import BaseModel, Field
+
+
+class ExtractedFact(BaseModel):
+    category: str  # 'symptom', 'medication', 'allergy', 'medical_history', 'family_history', etc.
+    data: Dict[str, Any]
+
+
+class ExtractionResult(BaseModel):
+    raw_message: str
+    normalized_message: str
+    detected_language: str = "en"
+    updates: Dict[str, Any] = Field(default_factory=dict)
+    is_emergency: bool = False
+    is_crisis: bool = False
+    emergency_reason: Optional[str] = None
+
+
+class QuestionIntent(BaseModel):
+    intent_code: str  # e.g., 'reason_for_visit', 'symptom_duration', 'medical_history'
+    field: str
+    attribute: Optional[str] = None
+    target_symptom: Optional[str] = None