"""Standard LangChain interface tests"""

import pytest
from langchain_core.language_models import BaseChatModel
from langchain_tests.unit_tests import ChatModelUnitTests
from pytest_benchmark.fixture import BenchmarkFixture  # type: ignore[import-untyped]

from langchain_anthropic import ChatAnthropic


class TestAnthropicStandard(ChatModelUnitTests):
    @property
    def chat_model_class(self) -> type[BaseChatModel]:
        return ChatAnthropic

    @property
    def chat_model_params(self) -> dict:
        return {"model": "claude-3-haiku-20240307"}


@pytest.mark.benchmark
def test_init_time_with_client(benchmark: BenchmarkFixture) -> None:
    """Test initialization time, accounting for lazy loading of client."""

    def _init_in_loop_with_clients() -> None:
        for _ in range(10):
            llm = ChatAnthropic(model="claude-3-5-haiku-latest")
            _ = llm._client
            _ = llm._async_client

    benchmark(_init_in_loop_with_clients)

"""Standard LangChain interface tests"""

from langchain_core.language_models import BaseChatModel
from langchain_tests.unit_tests import ChatModelUnitTests

from langchain_anthropic import ChatAnthropic


class TestAnthropicStandard(ChatModelUnitTests):
    @property
    def chat_model_class(self) -> type[BaseChatModel]:
        return ChatAnthropic

    @property
    def chat_model_params(self) -> dict:
        return {"model": "claude-3-haiku-20240307"}
