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226 lines
8.4 KiB
Python
226 lines
8.4 KiB
Python
from __future__ import annotations
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import json
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from pathlib import Path
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from uuid import uuid4
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from fastapi.testclient import TestClient
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from app.main import app
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from app.models import Dataset
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from app.schemas.dataset import DatasetCreateResponse
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from app.services.storage_service import StorageService
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from app.services.vector_feature_service import VectorFeatureService
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from app.services.vector_operations_service import VectorOperationsService
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from tests.frontend_contract import read_feature
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ROOT = Path(__file__).resolve().parents[2]
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class FakeSession:
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def __init__(self, rows):
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self.rows = rows
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self.added = []
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def get(self, model, row_id):
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row = self.rows.get((model, row_id))
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if row is not None:
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return row
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for item in self.added:
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if isinstance(item, model) and item.id == row_id:
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return item
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return None
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def add(self, row):
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self.added.append(row)
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def commit(self):
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return None
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def refresh(self, row):
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return row
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def test_vector_selection_derive_persists_queryable_derived_dataset(tmp_path, monkeypatch) -> None:
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project_id = uuid4()
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dataset_id = uuid4()
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output_path = tmp_path / "selection-derived.geojson"
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source_dataset = Dataset(
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id=dataset_id,
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project_id=project_id,
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area_id=None,
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name="candidate.geojson",
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dataset_type="vector",
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source="fixture",
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dataset_role="source",
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source_name="fixture",
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storage_path=str(tmp_path / "candidate.geojson"),
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status="ready",
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)
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db = FakeSession({(Dataset, dataset_id): source_dataset})
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selection_bbox = {"min_x": 4.9, "min_y": 50.9, "max_x": 5.2, "max_y": 51.2, "crs": "EPSG:4326"}
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selection_payload = {
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"selection_bbox": selection_bbox,
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"feature_count": 1,
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"limit": 250,
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"truncated": False,
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"geojson": {
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"type": "FeatureCollection",
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"features": [
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{
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"type": "Feature",
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"id": "source-row-1",
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"geometry": {"type": "Point", "coordinates": [5.0, 51.0]},
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"properties": {
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"vector_feature_id": "source-row-1",
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"dataset_id": str(dataset_id),
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"source_feature_id": "pred-1",
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"feature_class": "building",
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"confidence": 0.8,
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},
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}
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],
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},
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}
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persisted_features = []
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def _persist_dataset_file(project_id: str, dataset_id: str, dataset_type: str, original_filename: str, content: bytes, content_type: str | None):
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output_path.write_bytes(content)
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return {
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"original_filename": original_filename,
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"stored_filename": output_path.name,
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"content_type": content_type or "application/geo+json",
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"size_bytes": len(content),
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"checksum_sha256": "selection-checksum",
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"storage_path": str(output_path),
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}
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def _persist_geojson_features(db, dataset_id, payload, feature_class=None, *, commit=True):
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persisted_features.append({"dataset_id": dataset_id, "payload": payload, "feature_class": feature_class, "commit": commit})
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return []
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monkeypatch.setattr(StorageService, "persist_dataset_file", _persist_dataset_file)
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monkeypatch.setattr(VectorFeatureService, "select_features_by_bbox", lambda *_args, **_kwargs: selection_payload)
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monkeypatch.setattr(VectorFeatureService, "persist_geojson_features", _persist_geojson_features)
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response = VectorOperationsService.derive_selection_dataset(
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db=db,
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dataset_id=dataset_id,
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bbox=selection_bbox,
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limit=250,
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output_name="selected-buildings",
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)
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derived = [item for item in db.added if isinstance(item, Dataset)][0]
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assert response.id == derived.id
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assert response.project_id == project_id
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assert response.dataset_role == "derived"
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assert response.source == "operation:selection"
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assert response.source_name == "map_selection"
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assert response.derived_from_dataset_id == dataset_id
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assert response.feature_count == 1
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assert response.metadata_json["selection_bbox"] == selection_bbox
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assert response.metadata_json["source_feature_count"] == 1
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assert response.provenance_metadata["source_dataset_id"] == str(dataset_id)
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assert response.provenance_metadata["source_table"] == "vector_features"
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assert persisted_features[0]["dataset_id"] == derived.id
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assert persisted_features[0]["commit"] is False
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derived_payload = json.loads(output_path.read_text(encoding="utf-8"))
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props = derived_payload["features"][0]["properties"]
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assert props["source_vector_feature_id"] == "source-row-1"
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assert props["source_dataset_id"] == str(dataset_id)
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assert "vector_feature_id" not in props
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def test_vector_selection_derive_rejects_empty_selection(monkeypatch, tmp_path) -> None:
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dataset_id = uuid4()
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source_dataset = Dataset(
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id=dataset_id,
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project_id=uuid4(),
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name="candidate.geojson",
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dataset_type="vector",
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source="fixture",
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storage_path=str(tmp_path / "candidate.geojson"),
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status="ready",
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)
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db = FakeSession({(Dataset, dataset_id): source_dataset})
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monkeypatch.setattr(
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VectorFeatureService,
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"select_features_by_bbox",
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lambda *_args, **_kwargs: {
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"selection_bbox": {"min_x": 4.9, "min_y": 50.9, "max_x": 5.2, "max_y": 51.2, "crs": "EPSG:4326"},
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"feature_count": 0,
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"limit": 250,
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"truncated": False,
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"geojson": {"type": "FeatureCollection", "features": []},
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},
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)
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try:
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VectorOperationsService.derive_selection_dataset(
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db=db,
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dataset_id=dataset_id,
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bbox={"min_x": 4.9, "min_y": 50.9, "max_x": 5.2, "max_y": 51.2, "crs": "EPSG:4326"},
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limit=250,
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output_name="empty-selection",
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)
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except Exception as exc:
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assert getattr(exc, "code") == "VECTOR_OPERATION_EMPTY_RESULT"
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else:
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raise AssertionError("Empty selection should not create a derived dataset")
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def test_vector_selection_derive_endpoint_returns_canonical_dataset_envelope(monkeypatch) -> None:
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project_id = uuid4()
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dataset_id = uuid4()
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derived_id = uuid4()
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bbox = {"min_x": 4.9, "min_y": 50.9, "max_x": 5.2, "max_y": 51.2, "crs": "EPSG:4326"}
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monkeypatch.setattr(
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"app.api.routes.datasets.DatasetService.get_dataset",
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lambda _db, requested_id: Dataset(id=requested_id, project_id=project_id, name="source.geojson", dataset_type="vector", source="fixture"),
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)
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monkeypatch.setattr(
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"app.api.routes.datasets.VectorOperationsService.derive_selection_dataset",
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lambda *_args, **_kwargs: DatasetCreateResponse(
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id=derived_id,
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name="selected-buildings.geojson",
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dataset_type="vector",
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source="operation:selection",
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dataset_role="derived",
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source_name="map_selection",
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project_id=project_id,
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status="ready",
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derived_from_dataset_id=dataset_id,
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feature_count=1,
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metadata_json={"selection_bbox": bbox, "source_feature_count": 1},
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),
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)
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response = TestClient(app).post(
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f"/api/v1/projects/{project_id}/datasets/{dataset_id}/vector/select/derive",
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json={"bbox": bbox, "limit": 250, "output_name": "selected-buildings"},
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)
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assert response.status_code == 201
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payload = response.json()
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assert set(payload) == {"data"}
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assert payload["data"]["id"] == str(derived_id)
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assert payload["data"]["dataset_role"] == "derived"
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assert payload["data"]["source_name"] == "map_selection"
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assert payload["data"]["derived_from_dataset_id"] == str(dataset_id)
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def test_frontend_exposes_map_selection_derive_action() -> None:
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types = (ROOT / "frontend" / "src" / "types.ts").read_text(encoding="utf-8")
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datasets_api = read_feature("datasets")
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app = read_feature("shell")
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map_workspace = read_feature("map_workspace")
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assert "VectorSelectionDeriveRequest" in types
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assert "deriveVectorSelection" in datasets_api
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assert "deriveMapSelectionDataset" in app
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assert "Als resultaatlaag bewaren" in map_workspace
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assert "selectionDatasetError" in map_workspace
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