Migration to UV, introducing db_write, mqtt_ingestion, db_migrations, half working prototype.

db_migrations/models.py

@@ -0,0 +1,48 @@
+"""
+Database models for the IoT Dashboard.
+
+To modify schema:
+1. Edit models here
+2. Run: alembic revision --autogenerate -m "description"
+3. Review the generated migration in alembic/versions/
+4. Run: alembic upgrade head
+"""
+from sqlalchemy import Boolean, Column, Float, ForeignKey, Index,Text, DateTime
+from sqlalchemy.ext.declarative import declarative_base
+
+Base = declarative_base()
+
+
+class Device(Base):
+    """IoT devices registered in the system."""
+    __tablename__ = 'devices'
+    
+    id = Column(Text, primary_key=True)
+    name = Column(Text, nullable=False)
+    location = Column(Text)
+    is_active = Column(Boolean, default=True)
+    
+    def __repr__(self):
+        return f"<Device(id={self.id}, name={self.name})>"
+
+
+class Telemetry(Base):
+    """
+    Time-series telemetry data from devices.
+    This will be converted to a TimescaleDB hypertable.
+    """
+    __tablename__ = 'telemetry'
+    
+    time = Column(DateTime(timezone=True), primary_key=True, nullable=False)
+    device_id = Column(Text, ForeignKey('devices.id'), primary_key=True, nullable=False)
+    metric = Column(Text, primary_key=True, nullable=False)  # e.g., 'light', 'temperature'
+    value = Column(Float, nullable=False)
+    unit = Column(Text)
+    
+    __table_args__ = (
+        Index('idx_telemetry_device_time', 'device_id', 'time'),
+    )
+    
+    def __repr__(self):
+        return f"<Telemetry(device={self.device_id}, metric={self.metric}, value={self.value})>"
+