mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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b9af95cf1c
* [Feature] add AsyncTokenizerClient * add decode_image * Add response_processors with remote decode support. * [Feature] add tokenizer_base_url startup argument * Revert comment removal and restore original content. * [Feature] Non-streaming requests now support remote image decoding. * Fix parameter type issue in decode_image call. * Keep completion_token_ids when return_token_ids = False. * add copyright
202 lines
8.0 KiB
Python
202 lines
8.0 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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import unittest
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from unittest.mock import MagicMock, patch
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from fastdeploy.entrypoints.openai.serving_completion import (
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CompletionRequest,
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OpenAIServingCompletion,
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)
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class YourClass:
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async def _1(self, a, b, c):
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if b["outputs"].get("send_idx", -1) == 0 and a.echo:
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if isinstance(a.prompt, list):
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text = a.prompt[c]
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else:
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text = a.prompt
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b["outputs"]["text"] = text + (b["outputs"]["text"] or "")
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class TestCompletionEcho(unittest.IsolatedAsyncioTestCase):
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def setUp(self):
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self.mock_engine = MagicMock()
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self.completion_handler = None
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def test_single_prompt_non_streaming(self):
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"""测试单prompt非流式响应"""
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self.completion_handler = OpenAIServingCompletion(
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self.mock_engine, models=None, pid=123, ips=None, max_waiting_time=30
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)
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request = CompletionRequest(prompt="test prompt", max_tokens=10, echo=True, logprobs=1)
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mock_output = {
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"outputs": {
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"text": " generated text",
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"token_ids": [1, 2, 3],
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"top_logprobs": {"token1": -0.1, "token2": -0.2},
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"finished": True,
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},
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"output_token_ids": 3,
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}
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self.mock_engine.generate.return_value = [mock_output]
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response = self.completion_handler.request_output_to_completion_response(
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final_res_batch=[mock_output],
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request=request,
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request_id="test_id",
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created_time=12345,
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model_name="test_model",
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prompt_batched_token_ids=[[1, 2]],
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completion_batched_token_ids=[[3, 4, 5]],
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text_after_process_list=["test prompt"],
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)
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self.assertEqual(response.choices[0].text, "test prompt generated text")
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async def test_echo_back_prompt_and_streaming(self):
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"""测试_echo_back_prompt方法和流式响应的prompt拼接逻辑"""
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self.completion_handler = OpenAIServingCompletion(
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self.mock_engine, models=None, pid=123, ips=None, max_waiting_time=30
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)
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request = CompletionRequest(prompt="test prompt", max_tokens=10, stream=True, echo=True)
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mock_response = {"outputs": {"text": "test output", "token_ids": [1, 2, 3], "finished": True}}
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with patch.object(self.completion_handler, "_echo_back_prompt") as mock_echo:
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def mock_echo_side_effect(req, res, idx):
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res["outputs"]["text"] = req.prompt + res["outputs"]["text"]
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mock_echo.side_effect = mock_echo_side_effect
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await self.completion_handler._echo_back_prompt(request, mock_response, 0)
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mock_echo.assert_called_once_with(request, mock_response, 0)
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self.assertEqual(mock_response["outputs"]["text"], "test prompttest output")
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self.assertEqual(request.prompt, "test prompt")
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def test_multi_prompt_non_streaming(self):
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"""测试多prompt非流式响应"""
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self.completion_handler = OpenAIServingCompletion(
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self.mock_engine, models=None, pid=123, ips=None, max_waiting_time=30
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)
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request = CompletionRequest(prompt=["prompt1", "prompt2"], max_tokens=10, echo=True)
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mock_outputs = [
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{
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"outputs": {"text": " response1", "token_ids": [1, 2], "top_logprobs": None, "finished": True},
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"output_token_ids": 2,
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},
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{
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"outputs": {"text": " response2", "token_ids": [3, 4], "top_logprobs": None, "finished": True},
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"output_token_ids": 2,
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},
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]
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self.mock_engine.generate.return_value = mock_outputs
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response = self.completion_handler.request_output_to_completion_response(
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final_res_batch=mock_outputs,
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request=request,
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request_id="test_id",
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created_time=12345,
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model_name="test_model",
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prompt_batched_token_ids=[[1], [2]],
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completion_batched_token_ids=[[1, 2], [3, 4]],
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text_after_process_list=["prompt1", "prompt2"],
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)
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self.assertEqual(len(response.choices), 2)
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self.assertEqual(response.choices[0].text, "prompt1 response1")
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self.assertEqual(response.choices[1].text, "prompt2 response2")
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async def test_multi_prompt_streaming(self):
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self.completion_handler = OpenAIServingCompletion(
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self.mock_engine, models=None, pid=123, ips=None, max_waiting_time=30
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)
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request = CompletionRequest(prompt=["prompt1", "prompt2"], max_tokens=10, stream=True, echo=True)
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mock_responses = [
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{"outputs": {"text": " response1", "token_ids": [1, 2], "finished": True}},
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{"outputs": {"text": " response2", "token_ids": [3, 4], "finished": True}},
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]
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with patch.object(self.completion_handler, "_echo_back_prompt") as mock_echo:
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def mock_echo_side_effect(req, res, idx):
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res["outputs"]["text"] = req.prompt[idx] + res["outputs"]["text"]
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mock_echo.side_effect = mock_echo_side_effect
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await self.completion_handler._echo_back_prompt(request, mock_responses[0], 0)
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await self.completion_handler._echo_back_prompt(request, mock_responses[1], 1)
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self.assertEqual(mock_echo.call_count, 2)
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mock_echo.assert_any_call(request, mock_responses[0], 0)
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mock_echo.assert_any_call(request, mock_responses[1], 1)
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self.assertEqual(mock_responses[0]["outputs"]["text"], "prompt1 response1")
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self.assertEqual(mock_responses[1]["outputs"]["text"], "prompt2 response2")
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self.assertEqual(request.prompt, ["prompt1", "prompt2"])
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async def test_echo_back_prompt_and_streaming1(self):
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request = CompletionRequest(echo=True, prompt=["Hello", "World"])
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res = {"outputs": {"send_idx": 0, "text": "!"}}
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idx = 0
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instance = OpenAIServingCompletion(self.mock_engine, models=None, pid=123, ips=None, max_waiting_time=30)
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await instance._echo_back_prompt(request, res, idx)
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self.assertEqual(res["outputs"]["text"], "Hello!")
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async def test_1_prompt_is_string_and_send_idx_is_0(self):
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request = CompletionRequest(echo=True, prompt="Hello")
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res = {"outputs": {"send_idx": 0, "text": "!"}}
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idx = 0
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instance = OpenAIServingCompletion(self.mock_engine, models=None, pid=123, ips=None, max_waiting_time=30)
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await instance._echo_back_prompt(request, res, idx)
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self.assertEqual(res["outputs"]["text"], "Hello!")
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async def test_1_send_idx_is_not_0(self):
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request = CompletionRequest(echo=True, prompt="Hello")
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res = {"outputs": {"send_idx": 1, "text": "!"}}
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idx = 0
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instance = OpenAIServingCompletion(self.mock_engine, models=None, pid=123, ips=None, max_waiting_time=30)
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await instance._echo_back_prompt(request, res, idx)
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self.assertEqual(res["outputs"]["text"], "!")
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async def test_1_echo_is_false(self):
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"""测试echo为False时，_echo_back_prompt不拼接prompt"""
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request = CompletionRequest(echo=False, prompt="Hello")
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res = {"outputs": {"send_idx": 0, "text": "!"}}
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idx = 0
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instance = OpenAIServingCompletion(self.mock_engine, models=None, pid=123, ips=None, max_waiting_time=30)
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await instance._echo_back_prompt(request, res, idx)
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self.assertEqual(res["outputs"]["text"], "!")
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if __name__ == "__main__":
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unittest.main()
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