etape laptop

backend/app/models.py

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+from datetime import datetime, timezone
+from typing import Optional
+from sqlmodel import SQLModel, Field, Column
+import sqlalchemy as sa
+
+
+class Dataset(SQLModel, table=True):
+    id: Optional[int] = Field(default=None, primary_key=True)
+    name: str
+    raw_filename: str
+    feature_count: int = 0
+    bbox_json: Optional[str] = None  # JSON string [minLng, minLat, maxLng, maxLat]
+    created_at: datetime = Field(
+        default_factory=lambda: datetime.now(timezone.utc),
+        sa_column=Column(sa.DateTime(timezone=True), default=sa.func.now()),
+    )
+
+
+class Feature(SQLModel, table=True):
+    id: Optional[int] = Field(default=None, primary_key=True)
+    dataset_id: int = Field(foreign_key="dataset.id", index=True)
+    geometry_json: str  # GeoJSON geometry as JSON string
+    properties_json: str  # GeoJSON properties as JSON string
+
+
+class FeatureVersion(SQLModel, table=True):
+    id: Optional[int] = Field(default=None, primary_key=True)
+    feature_id: int = Field(foreign_key="feature.id", index=True)
+    before_json: str
+    after_json: str
+    timestamp: datetime = Field(
+        default_factory=lambda: datetime.now(timezone.utc),
+        sa_column=Column(sa.DateTime(timezone=True), default=sa.func.now()),
+    )
+
+
+class MapSettings(SQLModel, table=True):
+    id: Optional[int] = Field(default=None, primary_key=True)
+    center_lng: float = 2.35
+    center_lat: float = 48.85
+    zoom: float = 5.0
+    base_layer: str = "vector"