locust参数化(数据库取值)

locust参数化(数据库取值)

基于上一篇参数化的梳理,本篇用另一种方法从数据库中取出这100个用户来登录

思路:在 TaskSet 中的 on_start 方法表示执行任务前的操作,可以将数据库取数据的这个操作放在里面执行

from locust import task,TaskSet,HttpLocust
import pymysql
import os
 
class MyTaskSet(TaskSet):
 
    def run_sql(self):
        self.connect = pymysql.connect(
            host = "192.168.x.xx",
            database = "xxx",
            user = "xxx",
            password = "xx"
        )
        cursor = self.connect.cursor()
        sql = "SELECT userAccount FROM t_sys_user WHERE userAccount LIKE 'w0%';" # 查询出用户名语句
        cursor.execute(sql) # 执行查询语句
        res = cursor.fetchall() # 保存查询结果
        self.user_list = [] # 查询出来的结果为元组中嵌套长度为1的元组,不方便取值,这里用列表保存下来
        for i in res:
            self.user_list.append(i[0])
        print(self.user_list)
        cursor.close()
        self.connect.commit()
        self.connect.close()
        return self.user_list # 返回列表
 
    def on_start(self):
        self.run_sql()  # 执行task前运行一次run_sql函数
 
 
    def on_stop(self):
        print("----- Test over -----")
 
    @task
    def login(self,pwd="b123456"):
        self.headers = {
            "Origin": "http://192.168.1.9:8080",
            "User-Agent": "Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36"
        }
        path = "/SSOAuth?action=login&code=undefined&gotoURL=http%3A%2F%2F192.168.1.9%3A8080%2Fportal%2Fgeoindex.do"
 
 
        for user_account in self.user_list:
            da = {"userAccount": user_account, "pwd": pwd}
            data = {
                "data": '%s' % da
            }
            self.client.post(path, headers=self.headers, data=data, verify=False)
 
class MyLocust(HttpLocust):
    """w01~w0100为有效用户名,密码为默认的b123456"""
    task_set = MyTaskSet  # 指向任务集合
    host = "http://192.168.1.9:8080"  # web项目的话这里要设置host属性,否则是报错的
 
 
if __name__ == '__main__':
    # os模块执行系统命令,相当于在cmd切换到当前脚本目录,执行locust -f locust_login.py
    os.system("locust -f locust_login_db.py")

 原文地址https://blog.csdn.net/qq_39620483/article/details/89639653

很好的博客https://blog.csdn.net/qq_39620483

原文地址:https://www.cnblogs.com/111testing/p/10998726.html