mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-12-24 13:28:13 +08:00
327fa4c255
Some checks failed
CE Compile Job / ce_job_pre_check (push) Has been cancelled
CE Compile Job / print_ce_job_pre_check_outputs (push) Has been cancelled
CE Compile Job / FD-Clone-Linux (push) Has been cancelled
CE Compile Job / Show Code Archive Output (push) Has been cancelled
CE Compile Job / BUILD_SM8090 (push) Has been cancelled
CE Compile Job / BUILD_SM8689 (push) Has been cancelled
CE Compile Job / CE_UPLOAD (push) Has been cancelled
Deploy GitHub Pages / deploy (push) Has been cancelled
* add reasoning_tokens into usage info initial commit * add unit tests * modify unit test * modify and add unit tests * fix unit test * move steam usage to processor * modify processor * modify test_logprobs * modify test_logprobs.py * modify stream reasoning tokens accumulation * fix unit test
91 lines
3.6 KiB
Python
91 lines
3.6 KiB
Python
import unittest
|
|
from unittest.mock import MagicMock, patch
|
|
|
|
from fastdeploy.engine.request import Request
|
|
from fastdeploy.input.text_processor import DataProcessor
|
|
|
|
|
|
class TestDataProcessorProcess(unittest.TestCase):
|
|
def setUp(self):
|
|
# 创建 DataProcessor 实例的模拟对象
|
|
with patch.object(DataProcessor, "__init__", return_value=None) as mock_init:
|
|
self.processor = DataProcessor("model_path")
|
|
mock_init.side_effect = lambda *args, **kwargs: print(f"__init__ called with {args}, {kwargs}")
|
|
|
|
# 设置必要的属性
|
|
self.processor.tokenizer = MagicMock()
|
|
self.processor.tokenizer.eos_token_id = 1
|
|
self.processor.decode_status = {}
|
|
self.processor.reasoning_end_dict = {}
|
|
self.processor.tool_parser_dict = {}
|
|
self.processor.generation_config = MagicMock()
|
|
self.processor.eos_token_ids = [1]
|
|
self.processor.reasoning_parser = MagicMock()
|
|
|
|
def mock_messages2ids(request, **kwargs):
|
|
if "chat_template" in kwargs:
|
|
return [1]
|
|
else:
|
|
return [0]
|
|
|
|
def mock_apply_default_parameters(request):
|
|
return request
|
|
|
|
self.processor.messages2ids = mock_messages2ids
|
|
self.processor._apply_default_parameters = mock_apply_default_parameters
|
|
|
|
def test_process_request(self):
|
|
request = Request.from_dict(
|
|
{
|
|
"request_id": "123",
|
|
"messages": [{"role": "user", "content": "Hello!"}],
|
|
"eos_token_ids": [1],
|
|
"temperature": 1,
|
|
"top_p": 1,
|
|
}
|
|
)
|
|
chat_template_kwargs = {"chat_template": "Hello!"}
|
|
result = self.processor.process_request(request, 100, chat_template_kwargs=chat_template_kwargs)
|
|
self.assertEqual(result.prompt_token_ids, [1])
|
|
|
|
def test_process_request_dict(self):
|
|
request_dict = {
|
|
"messages": [{"role": "user", "content": "Hello!"}],
|
|
"chat_template_kwargs": {"chat_template": "Hello!"},
|
|
"eos_token_ids": [1],
|
|
"temperature": 1,
|
|
"top_p": 1,
|
|
}
|
|
result = self.processor.process_request_dict(request_dict, 100)
|
|
self.assertEqual(result["prompt_token_ids"], [1])
|
|
|
|
def test_process_response_dict_normal(self):
|
|
self.processor.tokenizer.decode_token = MagicMock(return_value=("Mock decoded text", 0, 0))
|
|
self.processor.reasoning_parser.extract_reasoning_content = MagicMock(
|
|
return_value=("Mock reasoning content", "Mock final text")
|
|
)
|
|
mock_tokens = ["mock", "reasoning", "tokens"]
|
|
self.processor.tokenizer.tokenize = MagicMock(return_value=mock_tokens)
|
|
self.processor.tool_parser_obj = None
|
|
response_dict = {
|
|
"request_id": "request-id_0",
|
|
"outputs": {
|
|
"token_ids": [2, 3, 4, 5, 1],
|
|
"text": "Hello",
|
|
"top_logprobs": [{"a": 0.1}, {"b": 0.2}, {"c": 0.3}],
|
|
},
|
|
"finish_reason": "stop",
|
|
"finished": True,
|
|
}
|
|
kwargs = {"enable_thinking": True}
|
|
with patch("fastdeploy.input.text_processor.data_processor_logger"):
|
|
result = self.processor.process_response_dict_normal(response_dict, **kwargs)
|
|
self.assertEqual(result["outputs"]["reasoning_content"], "Mock reasoning content")
|
|
self.assertEqual(result["outputs"]["reasoning_token_num"], len(mock_tokens))
|
|
self.assertEqual(result["outputs"]["text"], "Mock final text")
|
|
self.assertIn("completion_tokens", result["outputs"])
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|