from __future__ import annotations
import typing as t

import pytest

import openllm

if t.TYPE_CHECKING:
  import contextlib

  from .conftest import HandleProtocol, ResponseComparator, _Handle
model = "opt"
model_id = "facebook/opt-125m"
@pytest.fixture(scope="module")
def opt_125m_handle(handler: HandleProtocol, deployment_mode: t.Literal["container", "local"], clean_context: contextlib.ExitStack,):
  with openllm.testing.prepare(model, model_id=model_id, deployment_mode=deployment_mode, clean_context=clean_context) as image_tag:
    with handler(model=model, model_id=model_id, image_tag=image_tag) as handle:
      yield handle
@pytest.fixture(scope="module")
async def opt_125m(opt_125m_handle: _Handle):
  await opt_125m_handle.health(240)
  return opt_125m_handle.client
@pytest.mark.asyncio()
async def test_opt_125m(opt_125m: t.Awaitable[openllm.client.AsyncHTTPClient], response_snapshot: ResponseComparator):
  client = await opt_125m
  response = await client.query("What is Deep learning?", max_new_tokens=20, return_response="attrs")

  assert response.configuration["generation_config"]["max_new_tokens"] == 20
  assert response == response_snapshot