import pytest
from pydantic import ValidationError


def test_route_response_valid():
    from core.schemas import RouteResponse
    r = RouteResponse(
        sectors=["WASH", "Food Security"],
        lens=["Humanitarian Conditions"],
        type=[],
    )
    assert r.sectors == ["WASH", "Food Security"]
    assert r.lens == ["Humanitarian Conditions"]
    assert r.type == []


def test_route_response_empty_sectors_ok():
    from core.schemas import RouteResponse
    r = RouteResponse(sectors=[], lens=[], type=[])
    assert r.sectors == []


def test_bind_response_valid():
    from core.schemas import BindResponse
    b = BindResponse(
        indicator_id="rcsi",
        variables=["food_access_cope"],
        measurable="PROXY",
        reasons="Collects coping strategy frequency but not quantity; ordinal not continuous.",
        result_ids=["rcsi_score"],
    )
    assert b.measurable == "PROXY"
    assert b.result_ids == ["rcsi_score"]


def test_bind_response_result_ids_default_empty():
    from core.schemas import BindResponse
    b = BindResponse(
        indicator_id="fcs",
        variables=[],
        measurable="NOT_MEASURABLE",
        reasons="No dietary-recall question present in instrument.",
    )
    assert b.result_ids == []


def test_bind_response_rejects_invalid_verdict():
    from core.schemas import BindResponse
    with pytest.raises(ValidationError):
        BindResponse(
            indicator_id="fcs",
            variables=[],
            measurable="MAYBE",
            reasons="test",
        )


def test_pick_vars_response_valid():
    from core.schemas import PickVarsResponse
    r = PickVarsResponse(candidate_variables=["food_cope_1", "food_cope_2"])
    assert r.candidate_variables == ["food_cope_1", "food_cope_2"]


def test_pick_vars_response_empty_vars():
    from core.schemas import PickVarsResponse
    r = PickVarsResponse(candidate_variables=[])
    assert r.candidate_variables == []