geointel/backend/tests/test_sprint204_bwk_natura2000.py

from __future__ import annotations

import importlib.util
import json
import sys
from pathlib import Path
from uuid import uuid4

import pytest
from shapely.geometry import box, shape
from shapely.ops import transform as transform_geometry

from app.models import Dataset
from app.schemas.operations import VectorSelectionSummary
from app.services.vector_feature_service import VectorFeatureService
from tests.frontend_contract import read_map_workspace


ROOT = Path(__file__).resolve().parents[2]
BBOX = {"min_x": 5.0, "min_y": 51.1, "max_x": 5.2, "max_y": 51.3, "crs": "EPSG:4326"}


def load_operator():
    script_path = ROOT / "scripts" / "provision_mol_bwk_natura2000.py"
    spec = importlib.util.spec_from_file_location("bwk_natura2000_operator", script_path)
    assert spec is not None
    assert 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:
    ok = True
    status_code = 200
    text = ""

    def __init__(self, payload: dict, url: str):
        self.payload = payload
        self.url = url
        self.content = json.dumps(payload).encode("utf-8")

    def raise_for_status(self):
        return None

    def json(self):
        return self.payload


class FakeSession:
    def __init__(self, responses: list[FakeResponse]):
        self.responses = iter(responses)
        self.calls: list[tuple[str, dict | None]] = []

    def get(self, url, *, params=None, timeout):  # noqa: ANN001, ARG002
        self.calls.append((url, params))
        return next(self.responses)


class ScalarQuery:
    def __init__(self, value: float):
        self.value = value

    def filter(self, *args):  # noqa: ANN002, ARG002
        return self

    def scalar(self):
        return self.value


class SequenceScalarSession:
    def __init__(self, values: list[float]):
        self.values = iter(values)

    def query(self, *args):  # noqa: ANN002, ARG002
        return ScalarQuery(next(self.values))


def test_official_bwk_contract_and_class_labels_are_fixed() -> None:
    module = load_operator()

    assert module.WFS_URL == "https://geo.api.vlaanderen.be/BWK/wfs"
    assert module.TYPE_NAME == "BWK:Bwkhab"
    assert module.SOURCE_VERSION == "2025"
    assert module.TEMPORAL_SERIES_KEY == "inbo-bwk-natura2000:mol"
    assert module.ATTRIBUTION == "Bron: INBO"
    assert module.EVALUATION_LABELS == {
        "z": "Biologisch zeer waardevol",
        "w": "Biologisch waardevol",
        "m": "Biologisch minder waardevol",
        "wz": "Complex van waardevolle en zeer waardevolle elementen",
        "mwz": "Complex van minder waardevolle, waardevolle en zeer waardevolle elementen",
        "mz": "Complex van minder waardevolle en zeer waardevolle elementen",
        "mw": "Complex van minder waardevolle en waardevolle elementen",
    }


def test_wfs_pagination_follows_server_next_links() -> None:
    module = load_operator()
    page_one = {
        "type": "FeatureCollection",
        "features": [{"id": "one"}],
        "numberReturned": 1,
        "links": [{"rel": "next", "href": "https://geo.api.vlaanderen.be/BWK/wfs?STARTINDEX=1"}],
    }
    page_two = {"type": "FeatureCollection", "features": [], "numberReturned": 0, "links": []}
    session = FakeSession(
        [
            FakeResponse(page_one, "https://geo.api.vlaanderen.be/BWK/wfs?first"),
            FakeResponse(page_two, "https://geo.api.vlaanderen.be/BWK/wfs?STARTINDEX=1"),
        ]
    )

    pages = list(module.iter_wfs_pages(session, (5.0, 51.1, 5.2, 51.3), page_limit=1000, timeout=30))

    assert len(pages) == 2
    assert session.calls[0][1]["sortBy"] == "UIDN"
    assert session.calls[0][1]["srsName"] == "EPSG:4326"
    assert session.calls[1] == ("https://geo.api.vlaanderen.be/BWK/wfs?STARTINDEX=1", None)


def test_wfs_page_limit_without_next_link_uses_controlled_start_index_fallback() -> None:
    module = load_operator()
    session = FakeSession(
        [
            FakeResponse(
                {"type": "FeatureCollection", "features": [{"id": "one"}], "numberReturned": 1},
                "https://geo.api.vlaanderen.be/BWK/wfs",
            ),
            FakeResponse(
                {"type": "FeatureCollection", "features": [], "numberReturned": 0},
                "https://geo.api.vlaanderen.be/BWK/wfs?startIndex=1",
            ),
        ]
    )

    pages = list(module.iter_wfs_pages(session, (5.0, 51.1, 5.2, 51.3), page_limit=1, timeout=30))

    assert len(pages) == 2
    assert session.calls[1][1]["startIndex"] == "1"


def test_feature_is_clipped_in_lambert72_and_keeps_bwk_habitat_provenance() -> None:
    module = load_operator()
    boundary_wgs84 = box(5.10, 51.20, 5.11, 51.21)
    boundary_lambert72 = transform_geometry(module.TO_LAMBERT72.transform, boundary_wgs84)
    feature = {
        "type": "Feature",
        "id": "Bwkhab.42",
        "geometry": mapping_box(5.095, 51.195, 5.105, 51.205),
        "properties": {
            "UIDN": 42,
            "EVAL": "wz",
            "BWKLABEL": "qb + qs",
            "EENH1": "qb",
            "EENH2": "qs",
            "HERK": "225",
            "HAB1": "9190",
            "PHAB1": 60,
            "HAB2": "rbbppm",
            "PHAB2": 30,
            "HAB3": "gh",
            "PHAB3": 10,
            "HABLEGENDE": "phab",
            "HERKHAB": "225",
            "HERKPHAB": "a",
        },
    }

    normalized, was_clipped = module.normalize_feature(feature, boundary_lambert72)

    assert normalized is not None
    assert was_clipped is True
    normalized_geometry = shape(normalized["geometry"])
    assert normalized_geometry.difference(boundary_wgs84.buffer(1e-7)).area < 1e-12
    properties = normalized["properties"]
    assert properties["bwk_evaluation_code"] == "wz"
    assert properties["bwk_evaluation_label"].startswith("Complex van waardevolle")
    assert properties["natura2000_codes"] == "9190"
    assert properties["regional_biotope_codes"] == "rbbppm"
    assert properties["natura2000_area_ha"] == pytest.approx(properties["clipped_area_ha"] * 0.6)
    assert properties["regional_biotope_area_ha"] == pytest.approx(properties["clipped_area_ha"] * 0.3)
    assert properties["habitat_share_origin_code"] == "a"


def mapping_box(min_x: float, min_y: float, max_x: float, max_y: float) -> dict:
    return {
        "type": "Polygon",
        "coordinates": [[
            [min_x, min_y],
            [max_x, min_y],
            [max_x, max_y],
            [min_x, max_y],
            [min_x, min_y],
        ]],
    }


def test_uncertain_habitat_status_is_not_presented_as_confirmed_habitat() -> None:
    module = load_operator()

    entries, natura_share, regional_share, uncertain_share = module.habitat_breakdown(
        {"HAB1": "gh", "PHAB1": 100, "HABLEGENDE": "ohab"}
    )

    assert entries == [{"code": "gh", "share_percent": 100.0}]
    assert natura_share == 0
    assert regional_share == 0
    assert uncertain_share == 100


def test_nature_value_summary_returns_separate_official_classes_and_habitat_metrics() -> None:
    module = load_operator()
    dataset = Dataset(
        id=uuid4(),
        project_id=uuid4(),
        name="bwk_natura2000_2025_mol.geojson",
        dataset_type="vector",
        dataset_role="reference",
        source_name="inbo_bwk_natura2000",
        reference_layer_name="nature_value",
        source_metadata={
            "theme": "nature_value",
            "semantic_metrics": False,
            "selection_aggregation": {
                "metric_key": "bwk_mapped_area",
                "method": "intersection_area",
                "label": "BWK-gekarteerde oppervlakte",
                "unit": "ha",
                "geometry_dimension": 2,
            },
            "selection_metrics": module.selection_metrics(),
        },
    )

    result = VectorFeatureService.summarize_features_by_bbox(
        SequenceScalarSession([100_000.0, 10_000.0, 20_000.0, 30_000.0, 40_000.0, 5.5, 2.5, 1.5]),
        dataset=dataset,
        bbox=BBOX,
        total_feature_count=125,
        full_dataset_area=True,
    )

    assert result["primary_metric_key"] == "bwk_mapped_area"
    assert result["metric_value"] == 10.0
    metrics = {item["metric_key"]: item for item in result["metrics"]}
    assert metrics["bwk_very_valuable_area"]["metric_value"] == 1.0
    assert metrics["bwk_valuable_area"]["metric_value"] == 2.0
    assert metrics["bwk_less_valuable_area"]["metric_value"] == 3.0
    assert metrics["bwk_mixed_value_area"]["metric_value"] == 4.0
    assert metrics["natura2000_area"]["metric_value"] == 5.5
    assert metrics["natura2000_area"]["is_estimate"] is True
    assert metrics["regional_biotope_area"]["metric_value"] == 2.5
    assert metrics["uncertain_habitat_area"]["metric_value"] == 1.5
    assert metrics["feature_count"]["metric_value"] == 125
    VectorSelectionSummary(**result)


def test_operator_is_packaged_readiness_checked_and_wired_to_map() -> 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")
    map_workspace = read_map_workspace()
    source_catalog = (ROOT / "frontend" / "src" / "components" / "datasets" / "SourceCatalogPanel.tsx").read_text(encoding="utf-8")

    assert "COPY scripts/provision_mol_bwk_natura2000.py" in dockerfile
    assert "py_compile scripts/provision_mol_bwk_natura2000.py" in readiness
    assert '"provision_mol_bwk_natura2000.py"' in service
    assert "id: 'nature_value'" in map_workspace
    assert "Natuurwaarde" in map_workspace
    assert "source.key === 'bwk'" in source_catalog