gendesign/backend/tests/api/v1/test_analyze_parcel_meta.py

"""Тесты для parcel_meta в POST /api/v1/parcels/{cad_num}/analyze (#29 G2).

Покрывает:
1. analyze когда cad_parcels has row → parcel_meta содержит permitted_use/land_category/cad_cost
2. analyze когда cad_parcels row отсутствует → parcel_meta == None

Стратегия mock: аналогична test_analyze_market_price.py — DB mock через
dependency_overrides, тяжёлые сервисы патчим через unittest.mock.patch.

Порядок db.execute calls в analyze_parcel (с #29 G2):
  0.  UNION ALL geom + source → .mappings().first()
  1.  WKT query → .mappings().first()
  2.  District → .mappings().first()
  3.  POI rows → .mappings().all()
  4.  Competitor rows → .mappings().all()
  5.  Pipeline rows → .mappings().all()
  6.  Centroid lat/lon → .mappings().first()
  7.  Noise rows → .mappings().all()
  8.  Hydrology → .mappings().all()
  9.  Utilities → .mappings().all()
  10. parcel_meta (cad_parcels) → .mappings().first()   ← NEW #29 G2
  11. Market trend → .mappings().first()
  12. Zoning (begin_nested) → .mappings().first()
  13. Success recommendation (begin_nested) → .mappings().all()
  14. Market price (begin_nested) → .mappings().first()
  15. Recent permits (begin_nested) → .mappings().all()
  16. _geotech_risk (industrial count) → .scalar()
  17. _neighbors_summary (neighbor_rows) → .mappings().all()
  18. _neighbors_summary (overlap_row) → .mappings().first()
"""

from __future__ import annotations

from typing import Any
from unittest.mock import MagicMock, patch

from fastapi.testclient import TestClient

from app.main import app

_CAD = "66:41:0204016:10"
_WKT = "POLYGON((60.6 56.838, 60.61 56.838, 60.61 56.845, 60.6 56.845, 60.6 56.838))"
_GEOJSON = '{"type":"Polygon","coordinates":[[[60.6,56.838],[60.61,56.838]]]}'


def _make_mapping(data: dict[str, Any]) -> MagicMock:
    m = MagicMock()
    m.__getitem__ = lambda self, k: data[k]
    m.get = lambda k, default=None: data.get(k, default)
    return m


def _make_db_for_analyze(
    parcel_meta_row: dict[str, Any] | None = None,
) -> MagicMock:
    """Сконструировать mock DB Session для analyze_parcel с фокусом на parcel_meta.

    parcel_meta_row=None → имитирует "строки нет в cad_parcels" → parcel_meta=None.
    parcel_meta_row={...} → имитирует найденную строку.
    """
    db = MagicMock()

    geom_row = _make_mapping({"geom_geojson": _GEOJSON, "geom_wkb": None, "source": "cad_quarter"})
    wkt_row = _make_mapping({"wkt": _WKT})
    district_row = _make_mapping(
        {
            "district_name": "Октябрьский",
            "median_price_per_m2": 120000,
            "dist_to_center": 1500.0,
        }
    )
    centroid_row = _make_mapping({"lat": 56.84, "lon": 60.605})

    pm_mock = _make_mapping(parcel_meta_row) if parcel_meta_row is not None else None

    call_idx = [0]
    responses: list[Any] = [
        ("first", geom_row),  # 0: geom UNION ALL
        ("first", wkt_row),  # 1: WKT
        ("first", district_row),  # 2: district
        ("all", []),  # 3: POI rows
        ("all", []),  # 4: competitor rows
        ("all", []),  # 5: pipeline rows
        ("first", centroid_row),  # 6: centroid
        ("all", []),  # 7: noise rows
        ("all", []),  # 8: hydrology rows
        ("all", []),  # 9: utilities rows
        ("first", pm_mock),  # 10: parcel_meta ← #29 G2
        ("first", None),  # 11: market trend
        ("first", None),  # 12: zoning (begin_nested)
        ("all", []),  # 13: success recommendation (begin_nested)
        ("first", None),  # 14: market price (begin_nested)
        ("all", []),  # 15: recent permits (begin_nested)
        ("scalar", 0),  # 16: geotech_risk
        ("all", []),  # 17: neighbors
        ("first", None),  # 18: overlap
    ]

    def _execute_side_effect(*args: Any, **kwargs: Any) -> MagicMock:
        idx = call_idx[0]
        call_idx[0] += 1
        if idx >= len(responses):
            r = MagicMock()
            r.mappings.return_value.first.return_value = None
            r.mappings.return_value.all.return_value = []
            r.scalar.return_value = 0
            return r
        kind, data = responses[idx]
        r = MagicMock()
        r.mappings.return_value.first.return_value = data
        r.mappings.return_value.all.return_value = data if isinstance(data, list) else []
        r.scalar.return_value = data if kind == "scalar" else 0
        return r

    db.execute.side_effect = _execute_side_effect

    ctx = MagicMock()
    ctx.__enter__ = MagicMock(return_value=ctx)
    ctx.__exit__ = MagicMock(return_value=False)
    db.begin_nested.return_value = ctx

    return db


def _override_db(db: MagicMock):
    def _get_db_override():
        yield db

    return _get_db_override


_PATCHES = [
    patch("app.api.v1.parcels._fetch_air_quality_sync", return_value=None),
    patch("app.api.v1.parcels.get_weather_cached", return_value=None),
    patch("app.api.v1.parcels.get_seasonal_weather_cached", return_value=None),
    patch(
        "app.api.v1.parcels.get_quarter_dump_data",
        return_value={
            "nspd_zoning": None,
            "nspd_zouit_overlaps": [],
            "nspd_engineering_nearby": [],
            "nspd_risk_zones": [],
            "nspd_opportunity_parcels": [],
            "nspd_red_lines": [],
            "nspd_dump": {"available": False, "stale": False, "harvest_triggered": False},
        },
    ),
    patch("app.api.v1.parcels.compute_velocity", return_value=None),
    patch("app.api.v1.parcels.compute_gate_verdict", return_value={"verdict": "unknown"}),
    # enable_ird_analyze=True by default — мокаем чтобы не делать сетевые вызовы в тестах
    patch(
        "app.api.v1.parcels.build_ird_analyze_block",
        return_value={
            "ird_overlaps": [],
            "ird_by_kind": {},
            "opportunity_overlaps": [],
            "planning_projects": [],
            "functional_zone": None,
            "krt": [],
            "zone_regulation": None,
        },
    ),
]


def _start_patches() -> None:
    for p in _PATCHES:
        p.start()


def _stop_patches() -> None:
    for p in _PATCHES:
        p.stop()


def test_parcel_meta_found_in_cad_parcels() -> None:
    """analyze → cad_parcels has row → parcel_meta содержит permitted_use/land_category/cad_cost."""
    from app.core.db import get_db

    pm_data: dict[str, Any] = {
        "permitted_use": "многоквартирный дом",
        "land_category": "Земли населённых пунктов",
        "land_subtype": "жилая застройка",
        "cad_cost": 5_000_000.0,
    }
    db = _make_db_for_analyze(parcel_meta_row=pm_data)
    app.dependency_overrides[get_db] = _override_db(db)
    _start_patches()
    try:
        client = TestClient(app)
        resp = client.post(f"/api/v1/parcels/{_CAD}/analyze")
        assert resp.status_code == 200, resp.text
        body = resp.json()
        assert "parcel_meta" in body, "parcel_meta отсутствует в ответе"
        pm = body["parcel_meta"]
        assert pm is not None, "parcel_meta должен быть не None при наличии строки"
        assert pm["permitted_use"] == "многоквартирный дом"
        assert pm["land_category"] == "Земли населённых пунктов"
        assert pm["land_subtype"] == "жилая застройка"
        assert pm["cad_cost"] == 5_000_000.0
        assert pm["source"] == "cad_parcels"
    finally:
        app.dependency_overrides.clear()
        _stop_patches()


def test_parcel_meta_none_when_cad_parcels_missing() -> None:
    """analyze → cad_parcels row отсутствует → parcel_meta == None."""
    from app.core.db import get_db

    db = _make_db_for_analyze(parcel_meta_row=None)
    app.dependency_overrides[get_db] = _override_db(db)
    _start_patches()
    try:
        client = TestClient(app)
        resp = client.post(f"/api/v1/parcels/{_CAD}/analyze")
        assert resp.status_code == 200, resp.text
        body = resp.json()
        assert "parcel_meta" in body, "parcel_meta ключ должен присутствовать в ответе"
        assert body["parcel_meta"] is None, "parcel_meta должен быть None при отсутствии строки"
    finally:
        app.dependency_overrides.clear()
        _stop_patches()