test_serving_models.py

# SPDX-License-Identifier: Apache-2.0

from http import HTTPStatus
from unittest.mock import MagicMock

import pytest
import os

from vllm.config import ModelConfig
from vllm.engine.protocol import EngineClient
from vllm.entrypoints.openai.protocol import (ErrorResponse,
                                              LoadLoraAdapterRequest,
                                              UnloadLoraAdapterRequest)
from vllm.entrypoints.openai.serving_models import (BaseModelPath,
                                                    OpenAIServingModels)
from vllm.lora.request import LoRARequest
from ...utils import models_path_prefix

MODEL_NAME = os.path.join(models_path_prefix, "meta-llama/Llama-3.2-1B-Instruct")
BASE_MODEL_PATHS = [BaseModelPath(name=MODEL_NAME, model_path=MODEL_NAME)]
LORA_LOADING_SUCCESS_MESSAGE = (
    "Success: LoRA adapter '{lora_name}' added successfully.")
LORA_UNLOADING_SUCCESS_MESSAGE = (
    "Success: LoRA adapter '{lora_name}' removed successfully.")


async def _async_serving_models_init() -> OpenAIServingModels:
    mock_model_config = MagicMock(spec=ModelConfig)
    mock_engine_client = MagicMock(spec=EngineClient)
    # Set the max_model_len attribute to avoid missing attribute
    mock_model_config.max_model_len = 2048

    serving_models = OpenAIServingModels(engine_client=mock_engine_client,
                                         base_model_paths=BASE_MODEL_PATHS,
                                         model_config=mock_model_config,
                                         lora_modules=None,
                                         prompt_adapters=None)
    await serving_models.init_static_loras()

    return serving_models


@pytest.mark.asyncio
async def test_serving_model_name():
    serving_models = await _async_serving_models_init()
    assert serving_models.model_name(None) == MODEL_NAME
    request = LoRARequest(lora_name="adapter",
                          lora_path="/path/to/adapter2",
                          lora_int_id=1)
    assert serving_models.model_name(request) == request.lora_name


@pytest.mark.asyncio
async def test_load_lora_adapter_success():
    serving_models = await _async_serving_models_init()
    request = LoadLoraAdapterRequest(lora_name="adapter",
                                     lora_path="/path/to/adapter2")
    response = await serving_models.load_lora_adapter(request)
    assert response == LORA_LOADING_SUCCESS_MESSAGE.format(lora_name='adapter')
    assert len(serving_models.lora_requests) == 1
    assert serving_models.lora_requests[0].lora_name == "adapter"


@pytest.mark.asyncio
async def test_load_lora_adapter_missing_fields():
    serving_models = await _async_serving_models_init()
    request = LoadLoraAdapterRequest(lora_name="", lora_path="")
    response = await serving_models.load_lora_adapter(request)
    assert isinstance(response, ErrorResponse)
    assert response.type == "InvalidUserInput"
    assert response.code == HTTPStatus.BAD_REQUEST


@pytest.mark.asyncio
async def test_load_lora_adapter_duplicate():
    serving_models = await _async_serving_models_init()
    request = LoadLoraAdapterRequest(lora_name="adapter1",
                                     lora_path="/path/to/adapter1")
    response = await serving_models.load_lora_adapter(request)
    assert response == LORA_LOADING_SUCCESS_MESSAGE.format(
        lora_name='adapter1')
    assert len(serving_models.lora_requests) == 1

    request = LoadLoraAdapterRequest(lora_name="adapter1",
                                     lora_path="/path/to/adapter1")
    response = await serving_models.load_lora_adapter(request)
    assert isinstance(response, ErrorResponse)
    assert response.type == "InvalidUserInput"
    assert response.code == HTTPStatus.BAD_REQUEST
    assert len(serving_models.lora_requests) == 1


@pytest.mark.asyncio
async def test_unload_lora_adapter_success():
    serving_models = await _async_serving_models_init()
    request = LoadLoraAdapterRequest(lora_name="adapter1",
                                     lora_path="/path/to/adapter1")
    response = await serving_models.load_lora_adapter(request)
    assert len(serving_models.lora_requests) == 1

    request = UnloadLoraAdapterRequest(lora_name="adapter1")
    response = await serving_models.unload_lora_adapter(request)
    assert response == LORA_UNLOADING_SUCCESS_MESSAGE.format(
        lora_name='adapter1')
    assert len(serving_models.lora_requests) == 0


@pytest.mark.asyncio
async def test_unload_lora_adapter_missing_fields():
    serving_models = await _async_serving_models_init()
    request = UnloadLoraAdapterRequest(lora_name="", lora_int_id=None)
    response = await serving_models.unload_lora_adapter(request)
    assert isinstance(response, ErrorResponse)
    assert response.type == "InvalidUserInput"
    assert response.code == HTTPStatus.BAD_REQUEST


@pytest.mark.asyncio
async def test_unload_lora_adapter_not_found():
    serving_models = await _async_serving_models_init()
    request = UnloadLoraAdapterRequest(lora_name="nonexistent_adapter")
    response = await serving_models.unload_lora_adapter(request)
    assert isinstance(response, ErrorResponse)
    assert response.type == "NotFoundError"
    assert response.code == HTTPStatus.NOT_FOUND