# Copyright 2023-present, Argilla, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from typing import TYPE_CHECKING, List

import pytest
from distilabel.llms.base import LLM

if TYPE_CHECKING:
    from distilabel.llms.typing import GenerateOutput
    from distilabel.steps.tasks.typing import ChatType


@pytest.fixture
def dummy_llm() -> LLM:
    class DummyLLM(LLM):
        def load(self) -> None:
            pass

        @property
        def model_name(self) -> str:
            return "test"

        def generate(  # type: ignore
            self, inputs: List["ChatType"], num_generations: int = 1
        ) -> List["GenerateOutput"]:
            return [["output"] for _ in inputs]

    return DummyLLM()


# Defined here too, so that the serde still works
class DummyLLM(LLM):
    def load(self) -> None:
        pass

    @property
    def model_name(self) -> str:
        return "test"

    def generate(  # type: ignore
        self, inputs: List["ChatType"], num_generations: int = 1
    ) -> List["GenerateOutput"]:
        return [["output"] for _ in inputs]
