Files
geointel/backend/tests/test_sprint210_regional_bwk_natura2000.py
T
Codex bcbdaa10fc
GeoIntel CI / docs-smoke (push) Canceled after 0s
GeoIntel CI / contract-smoke (push) Canceled after 0s
Optimize regional BWK municipality selection
2026-07-16 00:44:28 +02:00

271 lines
9.6 KiB
Python

from __future__ import annotations
import gzip
import importlib.util
import json
from pathlib import Path
import sys
import pytest
from shapely.geometry import box, mapping, shape
from app.models import Dataset
from app.services.vector_feature_service import VectorFeatureService
ROOT = Path(__file__).resolve().parents[2]
SCRIPTS = ROOT / "scripts"
if str(SCRIPTS) not in sys.path:
sys.path.insert(0, str(SCRIPTS))
def load_script():
path = SCRIPTS / "provision_regional_bwk_natura2000.py"
spec = importlib.util.spec_from_file_location("test_provision_regional_bwk_natura2000", path)
assert spec is not None and spec.loader is not None
module = importlib.util.module_from_spec(spec)
sys.modules[spec.name] = module
spec.loader.exec_module(module)
return module
class FakeResponse:
status_code = 200
ok = True
text = ""
def __init__(self, payload):
self.payload = payload
self.content = json.dumps(payload, separators=(",", ":")).encode("utf-8")
def json(self):
return self.payload
class FakeApiSession:
def __init__(self, payload):
self.payload = payload
self.calls = []
def post(self, url, **kwargs):
self.calls.append((url, kwargs))
return FakeResponse({"data": self.payload})
def source_feature(feature_id: str, geometry):
return {
"type": "Feature",
"id": feature_id,
"geometry": mapping(geometry),
"properties": {
"UIDN": feature_id,
"EVAL": "z",
"HAB1": "9190",
"PHAB1": 50,
"HABLEGENDE": "hab",
},
}
def test_partition_retains_gzipped_source_and_applies_member_context(tmp_path: Path, monkeypatch) -> None:
module = load_script()
scope = module.GeographicScope(
key="test-region",
display_name="Test region",
project_name="Test",
project_region="Test",
area_name="Test area",
authority_name="Test",
authority_url="https://example.test",
scope_type="test",
limitation_message="Test",
members=(module.ScopeMember("Mol", "13025"),),
)
boundary = box(5.0, 51.0, 5.1, 51.1)
payload = {
"type": "FeatureCollection",
"features": [source_feature("Bwkhab.1", box(4.98, 51.02, 5.05, 51.08))],
}
raw_bytes = json.dumps(payload, separators=(",", ":")).encode("utf-8")
monkeypatch.setattr(
module.bwk,
"iter_wfs_pages",
lambda *_args, **_kwargs: iter([(payload, "https://example.test/page", raw_bytes)]),
)
manifest = module.prepare_partition(
object(),
output_root=tmp_path,
scope=scope,
member=scope.members[0],
boundary_wgs84=boundary,
page_limit=100,
max_features=1000,
timeout=30,
force=False,
)
output = json.loads(Path(manifest["output_path"]).read_text(encoding="utf-8"))
feature = output["features"][0]
raw_path = Path(manifest["manifest_path"]).parent / manifest["raw_pages"][0]["artifact_path"]
assert manifest["feature_count"] == 1
assert feature["id"] == "BWK:Bwkhab:Bwkhab.1:13025"
assert feature["properties"]["municipality"] == "Mol"
assert feature["properties"]["coverage_scope"] == "test-region"
assert shape(feature["geometry"]).bounds == pytest.approx((5.0, 51.02, 5.05, 51.08), abs=1e-5)
assert gzip.decompress(raw_path.read_bytes()) == raw_bytes
cached = module.prepare_partition(
object(),
output_root=tmp_path,
scope=scope,
member=scope.members[0],
boundary_wgs84=boundary,
page_limit=100,
max_features=1000,
timeout=30,
force=False,
)
assert cached["output_sha256"] == manifest["output_sha256"]
def test_snapshot_assembles_unique_partitions_and_metrics(tmp_path: Path) -> None:
module = load_script()
scope = module.GeographicScope(
key="test-region",
display_name="Test region",
project_name="Test",
project_region="Test",
area_name="Test area",
authority_name="Test",
authority_url="https://example.test",
scope_type="test",
limitation_message="Test",
members=(module.ScopeMember("Left", "10001"), module.ScopeMember("Right", "10002")),
)
partitions = []
for index, member in enumerate(scope.members):
output_path, manifest_path, _raw_dir = module.partition_paths(tmp_path / scope.key, member.nis_code)
feature = source_feature(f"Bwkhab.{index}", box(index, 0, index + 0.5, 0.5))
feature["id"] = f"BWK:Bwkhab:Bwkhab.{index}:{member.nis_code}"
feature["properties"].update(
{
"clipped_area_ha": 1.0 + index,
"bwk_evaluation_code": "z",
"habitat_status_code": "hab",
"natura2000_area_ha": 0.5,
"regional_biotope_area_ha": 0.25,
"uncertain_habitat_area_ha": 0.0,
}
)
module.bwk.write_json_atomic(output_path, {"type": "FeatureCollection", "features": [feature]})
partitions.append(
{
"municipality": member.name,
"nis_code": member.nis_code,
"feature_count": 1,
"raw_source_feature_count": 1,
"page_count": 1,
"output_path": str(output_path),
"output_sha256": module.bwk.sha256_file(output_path),
"manifest_path": str(manifest_path),
}
)
output_path, _manifest_path, manifest = module.assemble_snapshot(
output_root=tmp_path,
scope=scope,
partitions=partitions,
member_boundaries_sha256="boundaries-hash",
max_total_features=10,
)
output = json.loads(output_path.read_text(encoding="utf-8"))
assert manifest["coverage_complete"] is True
assert manifest["feature_count"] == 2
assert manifest["evaluation_area_ha"]["z"] == 3.0
assert manifest["natura2000_area_ha"] == 1.0
assert len({feature["id"] for feature in output["features"]}) == 2
def test_upload_contract_is_regional_partitioned_and_canonical(tmp_path: Path) -> None:
module = load_script()
scope = module.GEOGRAPHIC_SCOPES["kempen-transport-region"]
path = tmp_path / "bwk.geojson"
path.write_text('{"type":"FeatureCollection","features":[]}', encoding="utf-8")
manifest_path = tmp_path / "manifest.json"
manifest = {
"coverage_complete": True,
"feature_count": 42,
"output_sha256": "output-hash",
"partition_identity_sha256": "partition-hash",
"partitions": [{} for _ in scope.members],
"generated_at": "2026-07-16T00:00:00+00:00",
"limitations": ["test"],
}
session = FakeApiSession({"id": "dataset-id", "feature_count": 42})
result = module.upload_snapshot(
session,
base_url="http://backend:8000",
project_id="project-id",
area_id="area-id",
scope=scope,
path=path,
manifest_path=manifest_path,
manifest=manifest,
timeout=30,
)
data = session.calls[0][1]["data"]
source_metadata = json.loads(data["source_metadata_json"])
provenance = json.loads(data["provenance_metadata_json"])
assert result["id"] == "dataset-id"
assert data["area_id"] == "area-id"
assert data["temporal_series_key"] == "inbo-bwk-natura2000:kempen-transport-region"
assert source_metadata["coverage_scope"] == "kempen-transport-region"
assert source_metadata["member_count"] == 28
assert source_metadata["partitioned_source_audit"] is True
assert source_metadata["selection_metrics"] == module.bwk.selection_metrics()
assert provenance["operator_tool"] == "provision_regional_bwk_natura2000.py"
assert provenance["raw_source_responses_retained"] is True
def test_regional_operator_is_packaged_release_checked_and_exact_area_is_preferred() -> None:
dockerfile = (ROOT / "deploy/unraid/Dockerfile.all-in-one").read_text(encoding="utf-8")
readiness = (ROOT / "scripts/run_readiness_check.sh").read_text(encoding="utf-8")
service = (ROOT / "backend/app/services/vector_feature_service.py").read_text(encoding="utf-8")
workspace = (ROOT / "frontend/src/components/map/MapWorkspace.tsx").read_text(encoding="utf-8")
catalog = (ROOT / "frontend/src/components/datasets/SourceCatalogPanel.tsx").read_text(encoding="utf-8")
assert "COPY scripts/provision_regional_bwk_natura2000.py" in dockerfile
assert "py_compile scripts/provision_regional_bwk_natura2000.py" in readiness
assert '"provision_regional_bwk_natura2000.py"' in service
assert "dataset.area_id === selectedAreaId ? 10_000_000" in workspace
assert "largestBwkSnapshot" in catalog
def test_regional_bwk_uses_only_canonical_preclipped_municipality_partitions() -> None:
dataset = Dataset(
name="regional-bwk.geojson",
dataset_type="vector",
status="ready",
source_metadata={
"partitioned_source_audit": True,
"geometry_clipped_to_area": True,
},
provenance_metadata={"operator_tool": "provision_regional_bwk_natura2000.py"},
)
assert VectorFeatureService.preclipped_partition_filter(
dataset, "Gemeente Mol - officiële grens"
) == ("municipality", "Mol")
assert VectorFeatureService.preclipped_partition_filter(
dataset, "Vervoerregio Kempen - officiële operationele grens"
) is None
dataset.provenance_metadata = {"operator_tool": "unrelated_operator.py"}
assert VectorFeatureService.preclipped_partition_filter(
dataset, "Gemeente Mol - officiële grens"
) is None