Files
FastDeploy/test/entrypoints/openai/test_completion_echo.py
zhuzixuan 80db7fce05 【Bugfix】修复2.1分支上0.3B模型性能大幅下降 (#3624)
* 恢复异步方法。
【BugFix】completion接口echo回显支持 (#3245)

* wenxin-tools-511,修复v1/completion无法回显的问题。

* 支持多prompt的回显

* 支持多prompt情况下的流式回显

* 补充了 completion 接口支持 echo 的单元测试

* pre-commit

* 移除了多余的test文件

* 修复了completion接口echo支持的单测方法

* 补充了单元测试文件

* 补充单测

* unittest

* 补充单测

* 修复单测

* 删除不必要的assert.

* 重新提交

* 更新测试方法

* ut

* 验证是否是正确思路单测

* 验证是否是正确思路单测

* 验证是否是正确思路单测3

* 优化单测代码,有针对性地缩小单测范围。

* 优化单测代码2,有针对性地缩小单测范围。

* 优化单测代码3,有针对性地缩小单测范围。

* support 'echo' in chat/completion.

* update

* update

* update

* update

* update

* update

* 补充了关于tokenid的单元测试

* update

* 修正index错误

* 修正index错误

* [Bugfix] Significant performance degradation of 0.3B model on branch 2.1
2025-08-27 15:29:01 +08:00

174 lines
7.0 KiB
Python

import unittest
from unittest.mock import MagicMock, patch
from fastdeploy.entrypoints.openai.serving_completion import (
CompletionRequest,
OpenAIServingCompletion,
)
class YourClass:
async def _1(self, a, b, c):
if b["outputs"].get("send_idx", -1) == 0 and a.echo:
if isinstance(a.prompt, list):
text = a.prompt[c]
else:
text = a.prompt
b["outputs"]["text"] = text + (b["outputs"]["text"] or "")
class TestCompletionEcho(unittest.IsolatedAsyncioTestCase):
def setUp(self):
self.mock_engine = MagicMock()
self.completion_handler = None
def test_single_prompt_non_streaming(self):
self.completion_handler = OpenAIServingCompletion(self.mock_engine, pid=123, ips=None, max_waiting_time=30)
request = CompletionRequest(prompt="test prompt", max_tokens=10, echo=True, logprobs=1)
mock_output = {
"outputs": {
"text": " generated text",
"token_ids": [1, 2, 3],
"top_logprobs": {"token1": -0.1, "token2": -0.2},
"finished": True,
},
"output_token_ids": 3,
}
self.mock_engine.generate.return_value = [mock_output]
response = self.completion_handler.request_output_to_completion_response(
final_res_batch=[mock_output],
request=request,
request_id="test_id",
created_time=12345,
model_name="test_model",
prompt_batched_token_ids=[[1, 2]],
completion_batched_token_ids=[[3, 4, 5]],
text_after_process_list=["test prompt"],
)
self.assertEqual(response.choices[0].text, "test prompt generated text")
async def test_echo_back_prompt_and_streaming(self):
self.completion_handler = OpenAIServingCompletion(self.mock_engine, pid=123, ips=None, max_waiting_time=30)
request = CompletionRequest(prompt="test prompt", max_tokens=10, stream=True, echo=True)
mock_response = {"outputs": {"text": "test output", "token_ids": [1, 2, 3], "finished": True}}
with patch.object(self.completion_handler, "_echo_back_prompt") as mock_echo:
def mock_echo_side_effect(req, res, idx):
res["outputs"]["text"] = req.prompt + res["outputs"]["text"]
mock_echo.side_effect = mock_echo_side_effect
await self.completion_handler._echo_back_prompt(request, mock_response, 0)
mock_echo.assert_called_once_with(request, mock_response, 0)
self.assertEqual(mock_response["outputs"]["text"], "test prompttest output")
self.assertEqual(request.prompt, "test prompt")
def test_multi_prompt_non_streaming(self):
self.completion_handler = OpenAIServingCompletion(self.mock_engine, pid=123, ips=None, max_waiting_time=30)
request = CompletionRequest(prompt=["prompt1", "prompt2"], max_tokens=10, echo=True)
mock_outputs = [
{
"outputs": {"text": " response1", "token_ids": [1, 2], "top_logprobs": None, "finished": True},
"output_token_ids": 2,
},
{
"outputs": {"text": " response2", "token_ids": [3, 4], "top_logprobs": None, "finished": True},
"output_token_ids": 2,
},
]
self.mock_engine.generate.return_value = mock_outputs
response = self.completion_handler.request_output_to_completion_response(
final_res_batch=mock_outputs,
request=request,
request_id="test_id",
created_time=12345,
model_name="test_model",
prompt_batched_token_ids=[[1], [2]],
completion_batched_token_ids=[[1, 2], [3, 4]],
text_after_process_list=["prompt1", "prompt2"],
)
self.assertEqual(len(response.choices), 2)
self.assertEqual(response.choices[0].text, "prompt1 response1")
self.assertEqual(response.choices[1].text, "prompt2 response2")
async def test_multi_prompt_streaming(self):
self.completion_handler = OpenAIServingCompletion(self.mock_engine, pid=123, ips=None, max_waiting_time=30)
request = CompletionRequest(prompt=["prompt1", "prompt2"], max_tokens=10, stream=True, echo=True)
mock_responses = [
{"outputs": {"text": " response1", "token_ids": [1, 2], "finished": True}},
{"outputs": {"text": " response2", "token_ids": [3, 4], "finished": True}},
]
with patch.object(self.completion_handler, "_echo_back_prompt") as mock_echo:
def mock_echo_side_effect(req, res, idx):
res["outputs"]["text"] = req.prompt[idx] + res["outputs"]["text"]
mock_echo.side_effect = mock_echo_side_effect
await self.completion_handler._echo_back_prompt(request, mock_responses[0], 0)
await self.completion_handler._echo_back_prompt(request, mock_responses[1], 1)
self.assertEqual(mock_echo.call_count, 2)
mock_echo.assert_any_call(request, mock_responses[0], 0)
mock_echo.assert_any_call(request, mock_responses[1], 1)
self.assertEqual(mock_responses[0]["outputs"]["text"], "prompt1 response1")
self.assertEqual(mock_responses[1]["outputs"]["text"], "prompt2 response2")
self.assertEqual(request.prompt, ["prompt1", "prompt2"])
async def test_echo_back_prompt_and_streaming1(self):
request = CompletionRequest(echo=True, prompt=["Hello", "World"])
res = {"outputs": {"send_idx": 0, "text": "!"}}
idx = 0
instance = OpenAIServingCompletion(self.mock_engine, pid=123, ips=None, max_waiting_time=30)
await instance._echo_back_prompt(request, res, idx)
self.assertEqual(res["outputs"]["text"], "Hello!")
async def test_1_prompt_is_string_and_send_idx_is_0(self):
request = CompletionRequest(echo=True, prompt="Hello")
res = {"outputs": {"send_idx": 0, "text": "!"}}
idx = 0
instance = OpenAIServingCompletion(self.mock_engine, pid=123, ips=None, max_waiting_time=30)
await instance._echo_back_prompt(request, res, idx)
self.assertEqual(res["outputs"]["text"], "Hello!")
async def test_1_send_idx_is_not_0(self):
request = CompletionRequest(echo=True, prompt="Hello")
res = {"outputs": {"send_idx": 1, "text": "!"}}
idx = 0
instance = OpenAIServingCompletion(self.mock_engine, pid=123, ips=None, max_waiting_time=30)
await instance._echo_back_prompt(request, res, idx)
self.assertEqual(res["outputs"]["text"], "!")
async def test_1_echo_is_false(self):
request = CompletionRequest(echo=False, prompt="Hello")
res = {"outputs": {"send_idx": 0, "text": "!"}}
idx = 0
instance = OpenAIServingCompletion(self.mock_engine, pid=123, ips=None, max_waiting_time=30)
await instance._echo_back_prompt(request, res, idx)
self.assertEqual(res["outputs"]["text"], "!")
if __name__ == "__main__":
unittest.main()