import pytest
from pydantic import ValidationError


# ── Models ──────────────────────────────────────────────────────────────────

def test_parse_request_valid():
    from models import ParseRequest
    req = ParseRequest(query="Briefe von Opa", lang="de")
    assert req.query == "Briefe von Opa"
    assert req.lang == "de"


def test_parse_request_rejects_unknown_lang():
    from models import ParseRequest
    with pytest.raises(ValidationError):
        ParseRequest(query="Letters from grandpa", lang="fr")


def test_parse_response_serializes_nulls():
    from models import ParseResponse
    resp = ParseResponse(
        personNames=["Opa"],
        personRole="sender",
        dateFrom=None,
        dateTo="1920-12-31",
        keywords=["brief"],
        rawQuery="Briefe von Opa",
    )
    data = resp.model_dump()
    assert data["dateFrom"] is None
    assert data["dateTo"] == "1920-12-31"
    assert data["personRole"] == "sender"


# ── Model loading ────────────────────────────────────────────────────────────

@pytest.fixture(scope="session")
def nlp_de():
    from extractor import get_nlp
    return get_nlp("de")


@pytest.fixture(scope="session")
def nlp_en():
    from extractor import get_nlp
    return get_nlp("en")


@pytest.fixture(scope="session")
def nlp_es():
    from extractor import get_nlp
    return get_nlp("es")


def test_get_nlp_de_loads(nlp_de):
    doc = nlp_de("Test")
    assert doc is not None


def test_get_nlp_en_loads(nlp_en):
    doc = nlp_en("Test")
    assert doc is not None


def test_get_nlp_es_loads(nlp_es):
    doc = nlp_es("Prueba")
    assert doc is not None


def test_get_nlp_unknown_lang_raises():
    from extractor import get_nlp
    with pytest.raises(ValueError, match="Unsupported language"):
        get_nlp("fr")