gendesign/backend/tests/api/v1/test_analyze_parcel_meta.py
bot-backend d7c00f9ab3
All checks were successful
Deploy / changes (push) Successful in 8s
Deploy / build-frontend (push) Has been skipped
Deploy / deploy-caddy (push) Has been skipped
Deploy / build-backend (push) Successful in 2m10s
Deploy / build-worker (push) Successful in 3m7s
Deploy / deploy (push) Successful in 1m27s
Deploy / deploy-status (push) Successful in 1s
Deploy / perimeter-smoke (push) Successful in 10s
fix(ptica): шумовой скорер перестаёт считать водоёмы источниками шума (#2464-G) (#2931)
2026-08-19 12:41:59 +00:00

202 lines
8.1 KiB
Python
Raw Permalink Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

"""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.
Диспетчеризация мока — ПО СИГНАТУРЕ SQL, а не по порядковому номеру вызова.
Позиционный вариант ломался при каждом добавлении запроса в analyze_parcel
(следы в истории: #29 G2, #2464 cluster B, затем #2464-G с запросом покрытия
шумовой карты). Такое падение говорит не о parcel_meta, ради которого написан
файл, а о том, что кто-то добавил блок выше по коду — красный CI без отношения
к предмету теста. Матчинг по сигнатуре к порядку нечувствителен; всё, что не
распознано, отдаёт пустой результат (обработчик это переживает — прочие блоки
обёрнуты в try/except SAVEPOINT).
"""
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",
"ekb_reference_median": 120000,
"quarter_median_12m": None,
"quarter_deals_count": 0,
"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
def _execute_side_effect(*args: Any, **kwargs: Any) -> MagicMock:
sql = " ".join(str(args[0]).split()) if args else ""
first_val: Any = None
all_val: list[Any] = []
if "AS geom_geojson" in sql:
first_val = geom_row
elif "AS wkt" in sql:
first_val = wkt_row
elif "AS ekb_reference_median" in sql and "district_name" in sql:
first_val = district_row
elif "AS lon" in sql and "AS lat" in sql:
first_val = centroid_row
# Предмет файла: parcel_meta из cad_parcels (#29 G2).
elif "AS permitted_use" in sql and "FROM cad_parcels" in sql:
first_val = pm_mock
# _neighbors_summary — ОДИН statement (neighbors + overlap + total через
# json_agg + neighbors_total CTE, PR #1130 / #2464 cluster B).
elif "neighbors_total_count" in sql or "json_agg" in sql:
first_val = {"neighbors": [], "overlap_rows": [], "neighbors_total_count": 0}
r = MagicMock()
r.mappings.return_value.first.return_value = first_val
r.mappings.return_value.all.return_value = all_val
r.scalar.return_value = 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.get_air_quality_cached", 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()