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105 lines
4.1 KiB
Python
105 lines
4.1 KiB
Python
#!/usr/bin/env python
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# -*- encoding: utf-8 -*-
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# -----------------------------------------------------------------------------------
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'''
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@filename : batchmark.py
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@time : 2024/06/20
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@author : zhaodongsheng
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@Version : 1.0
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@description : 批量问答测试
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'''
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# -----------------------------------------------------------------------------------
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import pandas as pd
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import json
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import requests
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import time
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import jwt
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import traceback
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class BatchTest:
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def __init__(self, url, agentId, chatId, userName):
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self.base_url = url + '/api/chat/query/'
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self.agentId = agentId
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self.auth_token = self.__get_authorization(userName)
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self.chatId = chatId
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def parse(self, query_text):
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url = self.base_url + 'parse'
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data = {
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'queryText': query_text,
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'agentId': self.agentId,
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'chatId': self.chatId,
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}
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headers = {
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'Authorization': 'Bearer ' + self.auth_token,
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'Content-Type': 'application/json',
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}
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response = requests.post(url, headers=headers, data=json.dumps(data))
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return response.json()
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def execute(self, agentId, query_text, queryId):
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url = self.base_url + 'execute'
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data = {
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'agentId': agentId,
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'queryText': query_text,
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'parseId': 1,
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'chatId': self.chatId,
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'queryId': queryId,
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}
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headers = {
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'Authorization': 'Bearer ' + self.auth_token,
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'Content-Type': 'application/json',
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}
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response = requests.post(url, headers=headers, data=json.dumps(data))
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return response.json()
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def read_question_from_csv(self, filePath):
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df = pd.read_csv(filePath)
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return df
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def __get_authorization(self, userName):
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# secret 请和 com.tencent.supersonic.auth.api.authentication.config.AuthenticationConfig.tokenAppSecret 保持一致
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secret = "WIaO9YRRVt+7QtpPvyWsARFngnEcbaKBk783uGFwMrbJBaochsqCH62L4Kijcb0sZCYoSsiKGV/zPml5MnZ3uQ=="
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exp = time.time() + 100000000
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token= jwt.encode({"token_user_name": userName,"exp": exp}, secret, algorithm="HS512")
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return token
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def benchmark(url:str, agentId:str, chatId:str, filePath:str, userName:str):
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batch_test = BatchTest(url, agentId, chatId, userName)
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df = batch_test.read_question_from_csv(filePath)
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for index, row in df.iterrows():
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question = row['question']
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print('start to ask question:', question)
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# 捕获异常，防止程序中断
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try:
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parse_resp = batch_test.parse(question)
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batch_test.execute(agentId, question, parse_resp['data']['queryId'])
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except Exception as e:
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print('error:', e)
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traceback.print_exc()
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continue
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time.sleep(1)
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if __name__ == '__main__':
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import argparse
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parser = argparse.ArgumentParser()
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parser.add_argument('-u', '--url', type=str, required=True, help='url:问答系统url,例如：https://chatdata-dev.test.com')
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parser.add_argument('-a', '--agentId', type=str, required=True, help='agentId：助手ID')
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parser.add_argument('-c', '--chatId', type=str, required=True, help='chatId:会话ID,需要通过浏览器开发者模式获取')
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parser.add_argument('-f', '--filePath', type=str, required=True, help='filePath：问题文件路径, csv格式. 请提前上传到benchmark/data目录下')
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parser.add_argument('-p', '--userName', type=str, required=True, help='userName：用户名，用户获取登录token')
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args = parser.parse_args()
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print('批量测试配置信息[url:', args.url,'agentId:', args.agentId, 'chatId:', args.chatId, 'filePath:', args.filePath, 'userName:', args.userName, ']')
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print('请确认输入的压力测试信息是否正确:')
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print('1. Yes')
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print('2. No')
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confirm = input()
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if confirm == '1' or confirm == 'Yes' or confirm == 'yes' or confirm == 'YES':
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benchmark(args.url, args.agentId, args.chatId, args.filePath, args.userName)
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else:
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print('请重新输入压力测试配置信息: url, agentId, chatId, filePath, userName') |