from agent_platform.models import MODEL_SPECS, get_model_spec, openai_model_list


def test_fixed_public_model_catalog_separates_model_and_thinking() -> None:
    assert set(MODEL_SPECS) == {"luna", "terra", "sol", "deepseek-v4-pro"}
    assert get_model_spec("luna").provider_model == "ChatGPT-5.6:Luna"
    assert get_model_spec("terra").provider_model == "ChatGPT-5.6:Terra"
    assert get_model_spec("sol").provider_model == "ChatGPT-5.6:Sol"

    for model_id in ("luna", "terra", "sol"):
        spec = get_model_spec(model_id)
        assert spec.thinking_enabled is True
        assert spec.thinking_adjustable is False
        assert spec.thinking_label == "开启（不分档）"
        assert spec.reasoning_effort is None

    deepseek = get_model_spec("deepseek-v4-pro")
    assert deepseek.provider == "deepseek"
    assert deepseek.provider_model == "deepseek-v4-pro"
    assert deepseek.thinking_enabled is True
    assert deepseek.thinking_adjustable is False
    assert deepseek.thinking_label == "极高"
    assert deepseek.reasoning_effort == "max"

    public_models = openai_model_list()["data"]
    assert {item["id"] for item in public_models} == set(MODEL_SPECS)
    assert all("k1412" in item for item in public_models)