Import Vector lab project

2026-06-06 18:31:55 +00:00
commit fcc22063ed
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+from sqlalchemy import Column, Integer, String, Float, Boolean, DateTime, Text, ARRAY
+from sqlalchemy.dialects.postgresql import UUID, JSONB
+from sqlalchemy.sql import func
+import uuid
+from database import Base
+
+
+class Case(Base):
+    """Unified case model - combines search case and result"""
+    __tablename__ = "cases"
+
+    id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
+    created_at = Column(DateTime, server_default=func.now())
+    status = Column(String(20), default='active')  # active/closed/archived
+    
+    # Ребёнок
+    child_name = Column(String(255))
+    age_years = Column(Integer, nullable=False)
+    gender = Column(String(1))  # М / Ж
+    clothes_description = Column(Text)
+    special_marks = Column(Text)
+    phone_status = Column(String(20))  # answers/silent/none
+    
+    # Здоровье
+    has_diagnosis = Column(Boolean, default=False)
+    diagnosis_type = Column(ARRAY(String))  # РАС, эпилепсия, СДВГ, ЗПР...
+    fitness_level = Column(String(20))  # low/medium/high
+    has_transport = Column(String(20), default='none')  # none/bike/scooter/other
+    cant_swim = Column(Boolean, default=False)
+    
+    # Психотип
+    psychotype = Column(String(50))  # dominant/harmonic/anxious/...
+    psychotype_answers = Column(JSONB)  # сырые ответы на 4 вопроса
+    
+    # Обстоятельства
+    loss_reason = Column(String(100))
+    loss_time = Column(DateTime)
+    elapsed_hours = Column(Float)
+    last_seen_direction = Column(String(10))
+    last_seen_reliability = Column(String(20))  # exact/approx/unknown
+    last_seen_description = Column(Text)
+    behavior_description = Column(Text)
+    familiar_places = Column(Text)
+    lost_before = Column(String(20))  # yes/no/unknown
+    
+    # Среда
+    season = Column(String(20))
+    temperature_c = Column(Float)
+    precipitation = Column(String(20))
+    visibility = Column(String(20))
+    wind = Column(String(20))
+    terrain = Column(ARRAY(String))
+    
+    # GPS
+    tnp_lat = Column(Float)
+    tnp_lon = Column(Float)
+    tnp_address = Column(Text)
+    
+    # Ресурсы
+    teams_count = Column(Integer)
+    team_size = Column(Integer)
+    has_dog = Column(Boolean, default=False)
+    extra_resources = Column(ARRAY(String))  # drone/helicopter/boat/thermal
+    
+    # Исход (заполняется после завершения)
+    found_alive = Column(Boolean)
+    found_distance_km = Column(Float)
+    found_direction = Column(String(10))
+    found_location_type = Column(String(50))  # forest/road/building/water/field
+    found_lat = Column(Float)
+    found_lon = Column(Float)
+    search_duration_hours = Column(Float)
+    who_found = Column(String(50))  # mchs/mvd/volunteers/self
+    
+    # Мета
+    confidence_avg = Column(Float)
+    raw_text = Column(Text)
+    analysis_log = Column(JSONB)
+
+
+class RawDocument(Base):
+    """Raw document storage for parsed reports"""
+    __tablename__ = "raw_documents"
+
+    id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
+    filename = Column(String(255), nullable=False)
+    raw_text = Column(Text)
+    extracted_json = Column(JSONB)
+    created_at = Column(DateTime, server_default=func.now())