用例新增：客户已存在_白名单批量导入

air_case/cmdc_area/客户已存在_白名单批量导入.air/客户已存在_白名单批量导入.py

+# -*- encoding=utf8 -*-
+__author__ = "liguangyu"
+
+"""
+case_tag:cmdc_api,cmdc客户已存在_白名单批量导入,2299,2299-29,sit,bs
+主数据平台:后台运营系统白名单批量导入接口
+"""
+
+from common.common_func import commonFuc
+from air_case.cmdc_login.后台管理系统登录.后台管理系统登录 import CmdcDoLogin
+from common.handle_excel import HandleExcel
+import requests
+import random
+import json
+import os
+
+module = "cmdc_area"
+
+# 第一步登录后台运营系统获取token
+username = commonFuc().get_business_data(module, "username2")
+password = commonFuc().get_business_data(module, "password2")
+# 获取登录后Cmdc_access_token
+cmdc_access_token = CmdcDoLogin(username, password).get_token()
+headers = commonFuc().get_business_data(module, "json_headers_file", cmdc_access_token)
+
+# 获取文件
+BASE_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
+file_path = BASE_DIR + "/data/cmdc_files/白名单导入模板.xlsx"
+
+# 第二步获取站点开放白名单列表
+url = commonFuc().get_api_url() + commonFuc().get_business_data(module, "url12")
+request_body = commonFuc().get_business_data(module, "payload12")
+# 发送请求
+result = requests.post(url, json=request_body, headers=headers)
+result = json.loads(result.content)
+
+# 生成随机数
+user_random = random.randint(0, len(result["data"]["list"]) - 1)
+# 获取白名单信息
+userName = result["data"]["list"][user_random]["userName"]
+iphone = result["data"]["list"][user_random]["iphone"]
+companyName = result["data"]["list"][user_random]["companyName"]
+
+# 将信息写入文件中
+excel = HandleExcel(file_path, "Sheet1")
+excel.write_data(row=2, column=1, value=userName)
+excel.write_data(row=2, column=2, value=iphone)
+excel.write_data(row=2, column=3, value=companyName)
+
+# 第二步进行白名单批量导入
+url = commonFuc().get_api_url() + commonFuc().get_business_data(module, "url29")
+
+# 获取文件
+file = open(file_path, "rb")
+files = {"file": file}
+
+"""
+ 场景: 客户已存在_白名单批量导入
+ 用例名称：客户已存在_白名单批量导入
+ 输出：{"success":false,"code":"siteopen","message":"第2行用户白名单或申请已存在","data":null,"freshToken":null}
+"""
+
+# 发送请求
+result = requests.post(url, files=files, headers=headers)
+# 获取接口响应时间
+api_time = float(result.elapsed.total_seconds())
+
+# 将接口响应时间添加至result
+result = json.loads(result.content)
+result["api_time"] = api_time
+
+# 获取预期结果
+check_dict = commonFuc().get_business_data(module, "checkDict29")
+# print(check_dict)
+# 断言实际结果中是否包含预期结果的内容
+commonFuc().check_result(check_dict, result)
+
+