mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-12-24 13:28:13 +08:00
89 lines
3.1 KiB
Python
89 lines
3.1 KiB
Python
"""
|
|
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# 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.
|
|
"""
|
|
|
|
import time
|
|
import unittest
|
|
from unittest.mock import AsyncMock, MagicMock
|
|
|
|
from fastdeploy.engine.request import (
|
|
PoolingOutput,
|
|
PoolingRequestOutput,
|
|
RequestMetrics,
|
|
)
|
|
from fastdeploy.entrypoints.openai.protocol import ChatRewardRequest, ChatRewardResponse
|
|
from fastdeploy.entrypoints.openai.serving_reward import OpenAIServingReward
|
|
|
|
|
|
class TestOpenAIServingReward(unittest.IsolatedAsyncioTestCase):
|
|
def setUp(self):
|
|
self.mock_engine_client = MagicMock()
|
|
self.mock_engine_client.semaphore.acquire = AsyncMock()
|
|
self.mock_engine_client.semaphore.release = MagicMock()
|
|
|
|
self.mock_engine_client.check_model_weight_status = AsyncMock(return_value=False)
|
|
|
|
mock_dealer = MagicMock()
|
|
mock_response_queue = MagicMock()
|
|
self.response_data: PoolingRequestOutput = PoolingRequestOutput(
|
|
request_id="test_request_id",
|
|
prompt_token_ids=[1, 2, 3],
|
|
finished=True,
|
|
outputs=PoolingOutput(data=[0.1, 0.2, 0.3]),
|
|
metrics=RequestMetrics(arrival_time=time.time()),
|
|
)
|
|
mock_response_queue.get = AsyncMock(
|
|
return_value=[
|
|
self.response_data.to_dict(),
|
|
]
|
|
)
|
|
|
|
self.mock_engine_client.connection_manager.get_connection = AsyncMock(
|
|
return_value=(mock_dealer, mock_response_queue)
|
|
)
|
|
|
|
self.mock_engine_client.connection_manager.cleanup_request = AsyncMock()
|
|
self.mock_engine_client.format_and_add_data = AsyncMock(return_value=[[1, 2, 3]])
|
|
models = MagicMock()
|
|
models.is_supported_model = MagicMock(return_value=(True, "ERNIE"))
|
|
pid = 123
|
|
ips = ["127.0.0.1"]
|
|
max_waiting_time = 30
|
|
chat_template = MagicMock()
|
|
cfg = MagicMock()
|
|
self.reward_service = OpenAIServingReward(
|
|
self.mock_engine_client, models, cfg, pid, ips, max_waiting_time, chat_template
|
|
)
|
|
|
|
async def test_create_reward_success(self):
|
|
# Setup
|
|
request = ChatRewardRequest(
|
|
model="text-reward-ada-002",
|
|
messages=[
|
|
{"role": "user", "content": "Hello"},
|
|
{"role": "assistant", "content": "Hi there!"},
|
|
],
|
|
)
|
|
|
|
# Execute
|
|
result: ChatRewardResponse = await self.reward_service.create_reward(request)
|
|
|
|
# Assert
|
|
self.assertEqual(result.data[0].score, self.response_data.outputs.data)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|