from __future__ import annotations

import importlib.util
import sys
import zipfile
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, read_feature


ROOT = Path(__file__).resolve().parents[2]
BBOX = {"min_x": 5.0, "min_y": 51.1, "max_x": 5.3, "max_y": 51.4, "crs": "EPSG:4326"}


def load_operator():
    script_path = ROOT / "scripts" / "provision_agricultural_parcel_history.py"
    spec = importlib.util.spec_from_file_location("agricultural_parcel_history_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 FakeRow:
    def __init__(self, geometry, values: dict):  # noqa: ANN001
        self.geometry = geometry
        self.values = values

    def __getitem__(self, key):  # noqa: ANN001
        return self.values[key]


class FakeFrame:
    def __init__(self, rows: list[FakeRow], columns: list[str]):
        self.rows = rows
        self.columns = columns

    def iterrows(self):
        return iter(enumerate(self.rows))


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))


class ApiResponse:
    ok = True
    status_code = 200
    text = ""

    def __init__(self, data: dict):
        self.data = data

    def json(self):
        return {"data": self.data}


class PaginatedApiSession:
    def __init__(self):
        self.offsets: list[int] = []

    def get(self, url, *, params, timeout):  # noqa: ANN001, ARG002
        self.offsets.append(params["offset"])
        if params["offset"] == 0:
            return ApiResponse({"items": [{"id": index} for index in range(200)], "total": 201})
        return ApiResponse({"items": [{"id": 200}], "total": 201})


def test_only_definitive_2008_through_2025_archives_are_allowed() -> None:
    module = load_operator()

    assert module.SUPPORTED_YEARS == tuple(range(2008, 2026))
    assert 2026 not in module.ARCHIVE_URLS
    assert module.ARCHIVE_URLS[2025].endswith("agpa_2025_2026-05-13_public.zip")
    assert all(url.startswith("https://www.landbouwvlaanderen.be/bestanden/gis/agpa_") for url in module.ARCHIVE_URLS.values())
    with pytest.raises(ValueError, match="Supported definitive years"):
        module.parse_years("2025,2026")


def test_canonical_api_collection_reader_respects_200_item_limit_and_paginates() -> None:
    module = load_operator()
    session = PaginatedApiSession()

    items = module.api_items(session, "http://geointel/api/v1/projects/project-id/datasets", 30)

    assert len(items) == 201
    assert session.offsets == [0, 200]


def test_archive_requires_exactly_one_safe_geopackage(tmp_path: Path) -> None:
    module = load_operator()
    valid = tmp_path / "valid.zip"
    with zipfile.ZipFile(valid, "w") as archive:
        archive.writestr("agpa_2025.gpkg", b"source")
        archive.writestr("metadata.pdf", b"metadata")
    assert module.archive_geopackage_member(valid) == "agpa_2025.gpkg"

    unsafe = tmp_path / "unsafe.zip"
    with zipfile.ZipFile(unsafe, "w") as archive:
        archive.writestr("nested/agpa_2025.gpkg", b"source")
    with pytest.raises(RuntimeError, match="unsafe"):
        module.archive_geopackage_member(unsafe)

    ambiguous = tmp_path / "ambiguous.zip"
    with zipfile.ZipFile(ambiguous, "w") as archive:
        archive.writestr("one.gpkg", b"one")
        archive.writestr("two.gpkg", b"two")
    with pytest.raises(RuntimeError, match="exactly one"):
        module.archive_geopackage_member(ambiguous)


def test_crop_code_list_preserves_year_specific_titles_and_reports_conflicts() -> None:
    module = load_operator()
    result = module.build_crop_code_list(
        [
            {"maincrop_code": "201", "maincrop_title": "Mais", "maincropgroup_title": "Mais"},
            {"maincrop_code": "201", "maincrop_title": "Korrelmais", "maincropgroup_title": "Mais"},
            {"maincrop_code": "901", "maincrop_title": "Grasland", "maincropgroup_title": "Grasland"},
        ],
        year=2025,
    )

    assert result["year"] == 2025
    assert len(result["crop_entries"]) == 3
    assert result["code_title_conflicts"] == {"201": ["Korrelmais", "Mais"]}
    assert "maincropgroup_title" in result["historical_comparison_rule"]
    assert module.normalized_group_title("Maïs") == "maize"
    assert module.normalized_group_title("Granen, zaden en peulvruchten") == "grains_seeds_legumes"
    assert module.normalized_group_title("Groenten, kruiden en sierplanten") == "horticulture"


def test_persisted_first_import_group_keys_remain_query_compatible() -> None:
    assert VectorFeatureService._expanded_selection_filter_values(
        "main_crop_group_key",
        ["grains_seeds_legumes", "horticulture"],
    ) == [
        "grains_seeds_legumes",
        "granen,_zaden_en_peulvruchten",
        "horticulture",
        "groenten,_kruiden_en_sierplanten",
    ]


def test_features_are_exactly_clipped_in_lambert72_and_keep_source_fields() -> 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)
    source_geometry = transform_geometry(module.TO_LAMBERT72.transform, box(5.095, 51.195, 5.105, 51.205))
    values = {
        "agpakey": "2025-42",
        "parcelnumber": "42",
        "area_ha": 1.25,
        "maincrop_code": "201",
        "maincrop_title": "Korrelmais",
        "maincropgroup_title": "Maïs",
        "geometry": source_geometry,
    }
    frame = FakeFrame([FakeRow(source_geometry, values)], list(values))

    features, summary = module.normalize_frame(
        frame,
        year=2025,
        boundary_lambert72=boundary_lambert72,
        max_features=10,
    )

    assert summary["feature_count"] == 1
    assert summary["clipped_feature_count"] == 1
    feature = features[0]
    assert feature["id"] == "alz:2025:2025-42"
    assert shape(feature["geometry"]).difference(boundary_wgs84.buffer(1e-7)).area < 1e-12
    properties = feature["properties"]
    assert properties["maincrop_title"] == "Korrelmais"
    assert properties["main_crop_group_key"] == "maize"
    assert properties["geometry_was_clipped"] is True
    assert properties["historical_parcel_identity_stable"] is False
    assert properties["clipped_area_ha"] < properties["source_geometry_area_ha"]


def test_duplicate_annual_source_identity_fails_closed() -> None:
    module = load_operator()
    boundary = box(100_000, 200_000, 101_000, 201_000)
    values = {"agpakey": "same", "maincropgroup_title": "Grasland", "geometry": boundary}
    frame = FakeFrame([FakeRow(boundary, values), FakeRow(boundary, values)], list(values))

    with pytest.raises(RuntimeError, match="duplicate agpakey"):
        module.normalize_frame(frame, year=2025, boundary_lambert72=boundary, max_features=10)


def test_agriculture_summary_returns_grouped_hectares_without_parcel_lineage_claim() -> None:
    module = load_operator()
    dataset = Dataset(
        id=uuid4(),
        project_id=uuid4(),
        name="agricultural_use_parcels_2025.geojson",
        dataset_type="vector",
        dataset_role="reference",
        source_name=module.SOURCE_NAME,
        reference_layer_name="agriculture",
        source_metadata={
            "theme": "agriculture",
            "semantic_metrics": False,
            "selection_aggregation": {
                "metric_key": "declared_agricultural_use_area",
                "method": "intersection_area",
                "label": "Aangegeven gebruiksoppervlakte",
                "unit": "ha",
                "geometry_dimension": 2,
            },
            "selection_metrics": module.selection_metrics(),
        },
    )
    square_metres = [150_000.0, 40_000.0, 30_000.0, 20_000.0, 10_000.0, 5_000.0, 4_000.0, 3_000.0, 2_000.0, 1_000.0, 500.0, 250.0]

    result = VectorFeatureService.summarize_features_by_bbox(
        SequenceScalarSession(square_metres),
        dataset=dataset,
        bbox=BBOX,
        total_feature_count=321,
        full_dataset_area=True,
    )

    assert result["primary_metric_key"] == "declared_agricultural_use_area"
    assert result["metric_value"] == 15.0
    metrics = {item["metric_key"]: item for item in result["metrics"]}
    assert metrics["grassland_area"]["metric_value"] == 4.0
    assert metrics["maize_area"]["metric_value"] == 3.0
    assert metrics["agricultural_water_area"]["metric_value"] == 0.025
    assert metrics["feature_count"]["metric_value"] == 321
    assert "perceelidentiteiten" in metrics["grassland_area"]["warning"]
    VectorSelectionSummary(**result)


def test_operator_uses_canonical_upload_and_is_packaged_for_runtime() -> None:
    operator = (ROOT / "scripts" / "provision_agricultural_parcel_history.py").read_text(encoding="utf-8")
    service = (ROOT / "backend" / "app" / "services" / "vector_feature_service.py").read_text(encoding="utf-8")
    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")
    map_workspace = read_map_workspace()
    source_catalog = read_feature("datasets")
    dataset_display = (ROOT / "frontend" / "src" / "lib" / "datasetDisplay.ts").read_text(encoding="utf-8")

    assert "/datasets/upload" in operator
    assert "VectorFeature" not in operator
    assert "INSERT INTO vector_features" not in operator
    assert "geo.api.vlaanderen.be/Landbgebrperc" not in operator
    assert '"provision_agricultural_parcel_history.py"' in service
    assert "COPY scripts/provision_agricultural_parcel_history.py" in dockerfile
    assert "py_compile scripts/provision_agricultural_parcel_history.py" in readiness
    assert "id: 'agriculture'" in map_workspace
    assert "Landbouwgebruikspercelen" in source_catalog
    assert "agriculture: 'Landbouwgebruikspercelen'" in dataset_display
    assert "agentschap_landbouw_zeevisserij_agricultural_parcels: 'Agentschap Landbouw en Zeevisserij'" in dataset_display
    assert "const source = first ? getDatasetDisplayName(first) : 'Tijdreeks'" in map_workspace


def test_upload_contract_is_annual_definitive_and_scope_specific(tmp_path: Path) -> None:
    module = load_operator()
    scope = module.GEOGRAPHIC_SCOPES["mol"]
    assert module.series_key(scope) == "alz:agricultural-use-parcels:mol"
    metrics = module.selection_metrics()
    assert {item["metric_key"] for item in metrics} >= {"grassland_area", "maize_area", "agricultural_water_area"}
    assert all(item["method"] == "intersection_area" for item in metrics)
    assert all(item["filter_property"] == "main_crop_group_key" for item in metrics)

    paths = module.artifact_paths(tmp_path, scope.key, 2025)
    assert paths["archive"].name == "agpa_2025_2026-05-13_public.zip"
    assert paths["artifact"].name == "agricultural_use_parcels_2025_mol.geojson"