Files
FastDeploy/tests/input/test_ernie_processor.py
YUNSHEN XIE 3a6058e445 Add stable ci (#3460)
* add stable ci

* fix

* update

* fix

* rename tests dir;fix stable ci bug

* add timeout limit

* update
2025-08-20 08:57:17 +08:00

54 lines
2.1 KiB
Python

import unittest
from unittest.mock import MagicMock, patch
from fastdeploy.input.ernie_processor import ErnieProcessor
class TestErnieProcessorProcessResponseDictStreaming(unittest.TestCase):
def setUp(self):
# 创建 ErnieProcessor 实例的模拟对象
with patch.object(ErnieProcessor, "__init__", return_value=None) as mock_init:
self.processor = ErnieProcessor("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.tool_parsers = {}
# 模拟 ids2tokens 方法
def mock_ids2tokens(token_ids, task_id):
return "delta_text", [2, 3], "previous_texts"
self.processor.ids2tokens = mock_ids2tokens
# 模拟推理解析器
self.mock_reasoning_parser = MagicMock()
self.mock_reasoning_parser.__class__.__name__ = "ErnieX1ReasoningParser"
self.mock_reasoning_parser.extract_reasoning_content_streaming.return_value = ("reasoning", "text")
self.processor.reasoning_parser = self.mock_reasoning_parser
# 模拟工具解析器
self.mock_tool_parser = MagicMock()
self.mock_tool_parser.extract_tool_calls_streaming.return_value = "tool_call"
self.mock_tool_parser_obj = MagicMock()
self.mock_tool_parser_obj.return_value = self.mock_tool_parser
self.processor.tool_parser_obj = self.mock_tool_parser_obj
def test_process_response_dict_streaming_normal_case(self):
"""测试正常情况下的流式响应处理"""
# 准备输入
response_dict = {"finished": False, "request_id": "req1", "outputs": {"token_ids": [4, 5]}}
kwargs = {"enable_thinking": True}
# 调用方法
result = self.processor.process_response_dict_streaming(response_dict, **kwargs)
# 验证结果
self.assertEqual(result["outputs"]["raw_prediction"], "delta_text")
if __name__ == "__main__":
unittest.main()