REFACTOR data service

services/external/app/models/weather.py

@@ -0,0 +1,74 @@
+# ================================================================
+# services/data/app/models/weather.py
+# ================================================================
+"""Weather data models"""
+
+from sqlalchemy import Column, String, DateTime, Float, Integer, Text, Index, Boolean
+from sqlalchemy.dialects.postgresql import UUID, JSON
+import uuid
+from datetime import datetime, timezone
+
+from shared.database.base import Base
+
+class WeatherData(Base):
+    __tablename__ = "weather_data"
+    
+    id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
+    location_id = Column(String(100), nullable=False, index=True)
+    city = Column(String(50), nullable=False)
+    station_name = Column(String(200), nullable=True)
+    latitude = Column(Float, nullable=True)
+    longitude = Column(Float, nullable=True)
+    date = Column(DateTime(timezone=True), nullable=False, index=True)
+    forecast_date = Column(DateTime(timezone=True), nullable=True)
+    temperature = Column(Float, nullable=True)  # Celsius
+    temperature_min = Column(Float, nullable=True)
+    temperature_max = Column(Float, nullable=True)
+    feels_like = Column(Float, nullable=True)
+    precipitation = Column(Float, nullable=True)  # mm
+    precipitation_probability = Column(Float, nullable=True)
+    humidity = Column(Float, nullable=True)  # percentage
+    wind_speed = Column(Float, nullable=True)  # km/h
+    wind_direction = Column(Float, nullable=True)
+    wind_gust = Column(Float, nullable=True)
+    pressure = Column(Float, nullable=True)  # hPa
+    visibility = Column(Float, nullable=True)
+    uv_index = Column(Float, nullable=True)
+    cloud_cover = Column(Float, nullable=True)
+    condition = Column(String(100), nullable=True)
+    description = Column(String(200), nullable=True)
+    weather_code = Column(String(20), nullable=True)
+    source = Column(String(50), nullable=False, default="aemet")
+    data_type = Column(String(20), nullable=False)
+    is_forecast = Column(Boolean, nullable=True)
+    data_quality_score = Column(Float, nullable=True)
+    raw_data = Column(JSON, nullable=True)
+    processed_data = Column(JSON, nullable=True)
+    tenant_id = Column(UUID(as_uuid=True), nullable=True, index=True)
+    created_at = Column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc))
+    updated_at = Column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc), onupdate=lambda: datetime.now(timezone.utc))
+    
+    __table_args__ = (
+        Index('idx_weather_location_date', 'location_id', 'date'),
+    )
+
+class WeatherForecast(Base):
+    __tablename__ = "weather_forecasts"
+    
+    id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
+    location_id = Column(String(100), nullable=False, index=True)
+    forecast_date = Column(DateTime(timezone=True), nullable=False)
+    generated_at = Column(DateTime(timezone=True), nullable=False, default=lambda: datetime.now(timezone.utc))
+    temperature = Column(Float, nullable=True)
+    precipitation = Column(Float, nullable=True)
+    humidity = Column(Float, nullable=True)
+    wind_speed = Column(Float, nullable=True)
+    description = Column(String(200), nullable=True)
+    source = Column(String(50), nullable=False, default="aemet")
+    raw_data = Column(Text, nullable=True)
+    created_at = Column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc))
+    updated_at = Column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc), onupdate=lambda: datetime.now(timezone.utc))
+    
+    __table_args__ = (
+        Index('idx_forecast_location_date', 'location_id', 'forecast_date'),
+    )