138 lines
5.4 KiB
Python
138 lines
5.4 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import os
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from rag2_0.dify.dify_client import ChatClient, DifyClient
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import pandas as pd
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# 使用线程池并发执行
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from tqdm import tqdm
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from rag2_0.dify.dify_tool import DifyTool
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import json
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class DifyComparisonTester:
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"""
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Dify新旧流程对比测试类，用于比较两个不同流程的问答效果
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"""
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def __init__(self, excel_path:str, baseurl:str, old_workflow_api_key:str, new_workflow_api_key:str):
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"""
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初始化对比测试器
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Args:
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excel_path: 包含问题的Excel文件路径
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baseurl: Dify API的基础URL
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old_workflow_api_key: 旧流程的API密钥
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new_workflow_api_key: 新流程的API密钥
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"""
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self.excel_path = excel_path
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self.baseurl = baseurl
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self.old_workflow_api_key = old_workflow_api_key
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self.new_workflow_api_key = new_workflow_api_key
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self.old_chat = ChatClient(api_key=old_workflow_api_key, base_url=baseurl)
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self.new_chat = ChatClient(api_key=new_workflow_api_key, base_url=baseurl)
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def process_question(self, q:str):
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"""
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处理单个问题，并行获取新旧流程的回答
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Args:
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q: 问题内容
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Returns:
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dict: 包含问题和两个流程回答的字典
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"""
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def get_old_answer():
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try:
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return self.old_chat.create_chat_message(inputs={}, query=q, user="AutoTestDifyChat").json()
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except Exception as e:
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return f"error: {str(e)}"
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def get_new_answer():
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try:
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return self.new_chat.create_chat_message(inputs={}, query=q, user="AutoTestDifyChat").json()
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except Exception as e:
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return f"error: {str(e)}"
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# 并行执行old_chat和new_chat
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with ThreadPoolExecutor(max_workers=2) as executor:
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future_old = executor.submit(get_old_answer)
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future_new = executor.submit(get_new_answer)
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try:
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old_result = future_old.result()
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new_result = future_new.result()
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old_message_id = old_result["message_id"]
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new_message_id = new_result["message_id"]
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old_message_info = DifyTool.get_message_debug_info_id(message_id=old_message_id)
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new_message_info = DifyTool.get_message_debug_info_id(message_id=new_message_id)
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for workflow_node in new_message_info["workflow_node_executions_info"]:
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if workflow_node["title"] == "问题优化结果解析":
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outputs = json.loads(workflow_node["outputs"])
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rewrite_query = outputs["optimize_query"]
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old_answer = old_result["answer"]
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new_answer = new_result["answer"]
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except Exception as e:
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return None
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return {"问题": q, "问题改写": rewrite_query, "旧流程答案": old_answer, "新流程答案": new_answer}
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def run_comparison(self):
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"""
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运行对比测试，处理所有问题并生成结果Excel
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Returns:
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str: 输出Excel文件的路径
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"""
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# 读取Excel文件中的问题
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df = pd.read_excel(self.excel_path)
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questions = df.iloc[:,0].tolist()
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results = []
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# 按顺序处理问题
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with tqdm(total=len(questions), desc="处理问题进度") as pbar:
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for q in questions:
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result = self.process_question(q)
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if result is not None:
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results.append(result)
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pbar.update(1)
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# 生成输出Excel文件
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out_path = os.path.join(os.path.dirname(self.excel_path), "dify问答_对比结果.xlsx")
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df_results = pd.DataFrame(results)
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# 使用ExcelWriter设置格式
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with pd.ExcelWriter(out_path, engine='xlsxwriter') as writer:
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df_results.to_excel(writer, index=False, sheet_name='Sheet1')
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# 获取工作簿和工作表对象
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workbook = writer.book
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worksheet = writer.sheets['Sheet1']
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# 设置列宽
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worksheet.set_column('A:A', 50) # 问题列宽 50个Excel单位
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worksheet.set_column('B:B', 70) # 旧流程答案列宽 70个Excel单位
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worksheet.set_column('C:C', 70) # 新流程答案列宽 70个Excel单位
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return out_path
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if __name__ == "__main__":
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# 定义Excel路径
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excel_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", ".." ,"data/excel/历史提问数据(dislike)_1000条_软件明确.xlsx")
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if not os.path.exists(excel_path):
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print(f"错误：Excel文件不存在: {excel_path}")
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exit(1)
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# Dify API配置
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baseurl = "http://172.20.0.145/v1"
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old_workflow_api_key = "app-wUdkWJx5zeOvmvBUZizMoSw3"
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new_workflow_api_key = "app-Lf1pQ1NVwdMfCRVNTBCOTPHT"
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# 创建测试器并运行
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tester = DifyComparisonTester(excel_path, baseurl, old_workflow_api_key, new_workflow_api_key)
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output_file = tester.run_comparison()
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print(f"对比结果已保存至: {output_file}")
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# 单个问题测试示例
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# c = DifyChat(baseurl="http://172.20.0.145/v1", api_key="app-LjJaeLoAfqa6aoGzqU9UvxSf")
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# c.chat("如何新建配电线路工程")
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