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