mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-12-24 13:28:13 +08:00
a2870ed4a9
* parser register name unify * change ernie_x1 to ernie-x1 * change ernie4_5_vl to ernie-45-vl * fix unit test
178 lines
7.0 KiB
Python
178 lines
7.0 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 unittest
|
||
from typing import List
|
||
from unittest.mock import Mock
|
||
|
||
from fastdeploy.entrypoints.openai.serving_completion import (
|
||
CompletionRequest,
|
||
OpenAIServingCompletion,
|
||
RequestOutput,
|
||
)
|
||
from fastdeploy.utils import get_host_ip
|
||
|
||
|
||
class TestOpenAIServingCompletion(unittest.TestCase):
|
||
|
||
def test_check_master_tp4_dp1(self):
|
||
engine_client = Mock()
|
||
engine_client.tensor_parallel_size = 4
|
||
max_chips_per_node = 8
|
||
if engine_client.tensor_parallel_size <= max_chips_per_node:
|
||
engine_client.is_master = True
|
||
else:
|
||
engine_client.is_master = False
|
||
serving_completion = OpenAIServingCompletion(engine_client, None, "pid", None, 360)
|
||
self.assertTrue(serving_completion._check_master())
|
||
|
||
def test_check_master_tp4_dp4(self):
|
||
engine_client = Mock()
|
||
engine_client.tensor_parallel_size = 4
|
||
max_chips_per_node = 8
|
||
if engine_client.tensor_parallel_size <= max_chips_per_node:
|
||
engine_client.is_master = True
|
||
else:
|
||
engine_client.is_master = False
|
||
serving_completion = OpenAIServingCompletion(engine_client, None, "pid", "0.0.0.0, {get_host_ip()}", 360)
|
||
self.assertTrue(serving_completion._check_master())
|
||
|
||
def test_check_master_tp16_dp1_slave(self):
|
||
engine_client = Mock()
|
||
engine_client.tensor_parallel_size = 16
|
||
max_chips_per_node = 8
|
||
if engine_client.tensor_parallel_size <= max_chips_per_node:
|
||
engine_client.is_master = True
|
||
else:
|
||
engine_client.is_master = False
|
||
serving_completion = OpenAIServingCompletion(engine_client, None, "pid", f"0.0.0.0, {get_host_ip()}", 360)
|
||
self.assertFalse(serving_completion._check_master())
|
||
|
||
def test_check_master_tp16_dp1_master(self):
|
||
engine_client = Mock()
|
||
engine_client.tensor_parallel_size = 16
|
||
max_chips_per_node = 8
|
||
if engine_client.tensor_parallel_size <= max_chips_per_node:
|
||
engine_client.is_master = True
|
||
else:
|
||
engine_client.is_master = False
|
||
serving_completion = OpenAIServingCompletion(engine_client, None, "pid", f"{get_host_ip()}, 0.0.0.0", 360)
|
||
self.assertTrue(serving_completion._check_master())
|
||
|
||
def test_calc_finish_reason_tool_calls(self):
|
||
# 创建一个模拟的engine_client，并设置reasoning_parser为"ernie-x1"
|
||
engine_client = Mock()
|
||
engine_client.reasoning_parser = "ernie-x1"
|
||
# 创建一个OpenAIServingCompletion实例
|
||
serving_completion = OpenAIServingCompletion(engine_client, None, "pid", "ips", 360)
|
||
# 创建一个模拟的output，并设置finish_reason为"tool_call"
|
||
output = {"tool_call": "tool_call"}
|
||
# 调用calc_finish_reason方法
|
||
result = serving_completion.calc_finish_reason(None, 100, output, False)
|
||
# 断言结果为"tool_calls"
|
||
assert result == "tool_calls"
|
||
|
||
def test_calc_finish_reason_stop(self):
|
||
# 创建一个模拟的engine_client，并设置reasoning_parser为"ernie-x1"
|
||
engine_client = Mock()
|
||
engine_client.reasoning_parser = "ernie-x1"
|
||
# 创建一个OpenAIServingCompletion实例
|
||
serving_completion = OpenAIServingCompletion(engine_client, None, "pid", "ips", 360)
|
||
# 创建一个模拟的output，并设置finish_reason为其他值
|
||
output = {"finish_reason": "other_reason"}
|
||
# 调用calc_finish_reason方法
|
||
result = serving_completion.calc_finish_reason(None, 100, output, False)
|
||
# 断言结果为"stop"
|
||
assert result == "stop"
|
||
|
||
def test_calc_finish_reason_length(self):
|
||
# 创建一个模拟的engine_client
|
||
engine_client = Mock()
|
||
# 创建一个OpenAIServingCompletion实例
|
||
serving_completion = OpenAIServingCompletion(engine_client, None, "pid", "ips", 360)
|
||
# 创建一个模拟的output
|
||
output = {}
|
||
# 调用calc_finish_reason方法
|
||
result = serving_completion.calc_finish_reason(100, 100, output, False)
|
||
# 断言结果为"length"
|
||
assert result == "length"
|
||
|
||
def test_request_output_to_completion_response(self):
|
||
engine_client = Mock()
|
||
# 创建一个OpenAIServingCompletion实例
|
||
openai_serving_completion = OpenAIServingCompletion(engine_client, None, "pid", "ips", 360)
|
||
final_res_batch: List[RequestOutput] = [
|
||
{
|
||
"outputs": {
|
||
"token_ids": [1, 2, 3],
|
||
"text": " world!",
|
||
"top_logprobs": {
|
||
"a": 0.1,
|
||
"b": 0.2,
|
||
},
|
||
"reasoning_token_num": 10,
|
||
},
|
||
"output_token_ids": 3,
|
||
},
|
||
{
|
||
"outputs": {
|
||
"token_ids": [4, 5, 6],
|
||
"text": " world!",
|
||
"top_logprobs": {
|
||
"a": 0.3,
|
||
"b": 0.4,
|
||
},
|
||
"reasoning_token_num": 20,
|
||
},
|
||
"output_token_ids": 3,
|
||
},
|
||
]
|
||
|
||
request: CompletionRequest = Mock()
|
||
request.prompt = "Hello, world!"
|
||
request.echo = True
|
||
request.n = 2
|
||
request_id = "test_request_id"
|
||
created_time = 1655136000
|
||
model_name = "test_model"
|
||
prompt_batched_token_ids = [[1, 2, 3], [4, 5, 6]]
|
||
completion_batched_token_ids = [[7, 8, 9], [10, 11, 12]]
|
||
completion_response = openai_serving_completion.request_output_to_completion_response(
|
||
final_res_batch=final_res_batch,
|
||
request=request,
|
||
request_id=request_id,
|
||
created_time=created_time,
|
||
model_name=model_name,
|
||
prompt_batched_token_ids=prompt_batched_token_ids,
|
||
completion_batched_token_ids=completion_batched_token_ids,
|
||
prompt_tokens_list=["1", "1"],
|
||
)
|
||
|
||
assert completion_response.id == request_id
|
||
assert completion_response.created == created_time
|
||
assert completion_response.model == model_name
|
||
assert len(completion_response.choices) == 2
|
||
|
||
# 验证 choices 的 text 属性
|
||
assert completion_response.choices[0].text == "Hello, world! world!"
|
||
assert completion_response.choices[1].text == "Hello, world! world!"
|
||
|
||
assert completion_response.usage.completion_tokens_details.reasoning_tokens == 30
|
||
|
||
|
||
if __name__ == "__main__":
|
||
unittest.main()
|