gendesign/backend/tests/services/generative/test_api_concepts.py

"""End-to-end API test — POST /api/v1/concepts returns 3 filled variants.

Goes through the FastAPI route (TestClient) and asserts the contract is populated
with *real* numbers (non-zero ТЭП + financial), valid building GeoJSON, and that a
degenerate parcel yields 422 rather than empty variants.
"""

from __future__ import annotations

from collections.abc import Iterator

import pytest
from fastapi.testclient import TestClient

from app.core.db import get_db
from app.main import app


class _NoDbSession:
    """Заглушка Session: любой execute падает → market-price lookup деградирует в
    class_norm без реальной БД. Тесты API не должны зависеть от живого Postgres."""

    def execute(self, *args: object, **kwargs: object) -> object:
        raise RuntimeError("no DB in unit test")


@pytest.fixture(autouse=True)
def _override_db() -> Iterator[None]:
    """get_db → заглушка без БД на время API-тестов концепции (conftest чистит overrides)."""

    def _fake_get_db() -> Iterator[_NoDbSession]:
        yield _NoDbSession()

    app.dependency_overrides[get_db] = _fake_get_db
    yield
    app.dependency_overrides.pop(get_db, None)


_PARCEL = {
    "type": "Polygon",
    "coordinates": [
        [
            [60.60, 56.830],
            [60.6045, 56.830],
            [60.6045, 56.8328],
            [60.60, 56.8328],
            [60.60, 56.830],
        ]
    ],
}


def _post(payload: dict[str, object]) -> object:
    client = TestClient(app)
    return client.post("/api/v1/concepts", json=payload)


def test_concepts_returns_three_filled_variants() -> None:
    response = _post(
        {
            "parcel_geojson": _PARCEL,
            "housing_class": "comfort",
            "target_floors": 9,
            "development_type": "mid_rise",
            "land_cost_rub": 150_000_000,
        }
    )
    assert response.status_code == 200, response.text
    variants = response.json()["variants"]
    assert len(variants) == 3
    assert {v["strategy"] for v in variants} == {"max_area", "max_insolation", "balanced"}

    for v in variants:
        teap = v["teap"]
        fin = v["financial"]
        # Реальные, ненулевые числа (не stub-нули).
        assert teap["built_area_sqm"] > 0
        assert teap["total_floor_area_sqm"] > 0
        assert teap["residential_area_sqm"] > 0
        assert teap["apartments_count"] > 0
        assert teap["density"] > 0
        assert teap["parking_spaces"] > 0
        assert fin["revenue_rub"] > 0
        assert fin["cost_rub"] > 0
        # PR-2: без БД market-price lookup честно падает в норматив класса.
        assert fin["price_is_calibrated"] is False
        assert fin["price_source"] == "class_norm"
        assert fin["price_per_sqm_used"] > 0
        # GeoJSON застройки непустой.
        fc = v["buildings_geojson"]
        assert fc["type"] == "FeatureCollection"
        assert len(fc["features"]) > 0


def test_concepts_degenerate_parcel_returns_422() -> None:
    tiny = {
        "type": "Polygon",
        "coordinates": [
            [
                [60.60, 56.830],
                [60.60015, 56.830],
                [60.60015, 56.83015],
                [60.60, 56.83015],
                [60.60, 56.830],
            ]
        ],
    }
    response = _post(
        {
            "parcel_geojson": tiny,
            "housing_class": "comfort",
            "target_floors": 9,
            "development_type": "mid_rise",
        }
    )
    assert response.status_code == 422


def test_concepts_response_matches_contract_keys() -> None:
    response = _post(
        {
            "parcel_geojson": _PARCEL,
            "housing_class": "business",
            "target_floors": 16,
            "development_type": "high_rise",
        }
    )
    assert response.status_code == 200
    variant = response.json()["variants"][0]
    assert set(variant.keys()) == {"strategy", "buildings_geojson", "teap", "financial"}
    assert set(variant["teap"].keys()) == {
        "built_area_sqm",
        "total_floor_area_sqm",
        "residential_area_sqm",
        "apartments_count",
        "density",
        "parking_spaces",
    }
    assert set(variant["financial"].keys()) == {
        # legacy summary (backward-compat)
        "revenue_rub",
        "cost_rub",
        "gross_margin_rub",
        "irr",
        # revenue breakdown
        "revenue_residential_rub",
        "revenue_parking_rub",
        # cost cascade
        "construction_rub",
        "pir_rub",
        "networks_rub",
        "developer_services_rub",
        "contingency_rub",
        "marketing_rub",
        "land_rub",
        # БДР / taxes
        "vat_rub",
        "profit_before_tax_rub",
        "profit_tax_rub",
        "net_profit_rub",
        # metrics
        "roi",
        "margin_pct",
        "irr_is_proxy",
        # DCF (PR-3)
        "npv_rub",
        "payback_months",
        "discount_rate_used",
        "schedule_is_default",
        "sales_duration_months",
        # financing overlay (PR-5)
        "financing_enabled",
        "annual_rate_used",
        "peak_debt_rub",
        "total_interest_rub",
        "net_profit_after_financing_rub",
        "financing_is_simplified",
        # price calibration (PR-2)
        "price_per_sqm_used",
        "price_is_calibrated",
        "price_source",
    }