from app.domain.risk_engine import BaselineRiskEngine, IndicatorValue
from app.main import app
from fastapi.testclient import TestClient


def test_preview_requires_authentication() -> None:
    response = TestClient(app).post(
        "/api/v1/risk-predictions/preview",
        json={
            "subjectId": "customer-001",
            "indicators": [
                {"name": "debtBurden", "value": 80, "weight": 3},
                {"name": "cashflowVolatility", "value": 20, "weight": 1},
            ],
        },
    )

    assert response.status_code == 401


def test_baseline_engine_calculates_weighted_score() -> None:
    score = BaselineRiskEngine().predict(
        [
            IndicatorValue(name="debtBurden", value=80, weight=3),
            IndicatorValue(name="cashflowVolatility", value=20, weight=1),
        ]
    )

    assert score.score == 35.0
    assert score.level.value == "high"
    assert [factor.contribution for factor in score.factors] == [15.0, 20.0]


def test_risk_level_boundaries_follow_prd() -> None:
    engine = BaselineRiskEngine()
    cases = (
        (80, "low"),
        (60, "moderately_low"),
        (40, "medium"),
        (20, "high"),
        (19.99, "very_high"),
    )

    for score, expected_level in cases:
        result = engine.predict([IndicatorValue(name="risk", value=100 - score, weight=1)])
        assert result.score == score
        assert result.level.value == expected_level