Add map area selection extraction
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@@ -3,7 +3,10 @@ from __future__ import annotations
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from typing import Any
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from uuid import UUID
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from geoalchemy2.functions import ST_Intersects, ST_MakeEnvelope
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from geoalchemy2.shape import from_shape
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from geoalchemy2.shape import to_shape
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from shapely.geometry import mapping
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from shapely.geometry import shape
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from shapely.validation import make_valid
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@@ -12,6 +15,117 @@ from app.models import VectorFeature
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class VectorFeatureService:
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@staticmethod
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def _normalize_selection_bbox(bbox: dict[str, Any]) -> dict[str, float | str]:
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try:
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min_x = float(bbox["min_x"])
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min_y = float(bbox["min_y"])
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max_x = float(bbox["max_x"])
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max_y = float(bbox["max_y"])
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except (KeyError, TypeError, ValueError) as exc:
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raise AppError(
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code="INVALID_SELECTION_BBOX",
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message="Selection bbox must include numeric min_x, min_y, max_x and max_y values",
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status_code=400,
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) from exc
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crs = str(bbox.get("crs") or "EPSG:4326").upper()
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if crs != "EPSG:4326":
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raise AppError(
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code="UNSUPPORTED_SELECTION_CRS",
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message="Map selection currently supports EPSG:4326 bbox coordinates only",
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details={"crs": crs},
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status_code=400,
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)
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if min_x >= max_x or min_y >= max_y:
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raise AppError(
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code="INVALID_SELECTION_BBOX",
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message="Selection bbox must have min_x < max_x and min_y < max_y",
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status_code=400,
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)
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if min_x < -180 or max_x > 180 or min_y < -90 or max_y > 90:
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raise AppError(
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code="INVALID_SELECTION_BBOX",
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message="Selection bbox is outside EPSG:4326 longitude/latitude bounds",
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status_code=400,
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)
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return {"min_x": min_x, "min_y": min_y, "max_x": max_x, "max_y": max_y, "crs": "EPSG:4326"}
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@staticmethod
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def _row_to_geojson_feature(row: VectorFeature) -> dict[str, Any]:
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geometry_value = row.geometry
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try:
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geometry = geometry_value if hasattr(geometry_value, "__geo_interface__") else to_shape(geometry_value)
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except Exception as exc:
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raise AppError(
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code="INVALID_VECTOR_FEATURE_GEOMETRY",
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message="Persisted vector feature geometry could not be converted to GeoJSON",
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details={"vector_feature_id": str(row.id)},
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status_code=500,
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) from exc
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properties = dict(row.properties_json or {})
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properties.update(
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{
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"vector_feature_id": str(row.id),
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"dataset_id": str(row.dataset_id),
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"source_feature_id": row.source_feature_id,
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"feature_class": row.feature_class,
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}
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)
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return {
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"type": "Feature",
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"id": str(row.id),
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"geometry": mapping(geometry),
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"properties": properties,
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}
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@staticmethod
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def select_features_by_bbox(
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db,
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dataset_id: UUID,
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bbox: dict[str, Any],
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limit: int = 100,
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) -> dict[str, Any]:
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normalized_bbox = VectorFeatureService._normalize_selection_bbox(bbox)
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safe_limit = max(1, min(int(limit), 1000))
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rows = (
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db.query(VectorFeature)
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.filter(VectorFeature.dataset_id == dataset_id)
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.filter(
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ST_Intersects(
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VectorFeature.geometry,
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ST_MakeEnvelope(
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normalized_bbox["min_x"],
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normalized_bbox["min_y"],
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normalized_bbox["max_x"],
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normalized_bbox["max_y"],
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4326,
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),
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)
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)
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.order_by(VectorFeature.created_at.asc())
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.limit(safe_limit + 1)
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.all()
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)
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truncated = len(rows) > safe_limit
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selected_rows = rows[:safe_limit]
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features = [VectorFeatureService._row_to_geojson_feature(row) for row in selected_rows]
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return {
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"selection_bbox": normalized_bbox,
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"feature_count": len(features),
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"limit": safe_limit,
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"truncated": truncated,
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"geojson": {
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"type": "FeatureCollection",
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"features": features,
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},
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}
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@staticmethod
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def persist_geojson_features(
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db,
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