Locust性能测试2--登录示例

• 无论是做接口自动化还是做压测，解决了登录就离成功进步了一大半，下面做个简单的登录案例，后续再说下数据依赖及参数化等问题

1. 登录

• 登录示例

from locust import HttpUser, task, between

USER_CREDENTIALS = [
    ("login1", "pwd1"),
    ("login2", "pwd2"),
    ("login3", "pwd3"),
]  # 登录账户


class LoginDemo(HttpUser):
    wait_time = between(2, 5)  # 模拟用户等待2到5s然后执行

    @task(1)
    def on_start(self):  # 任务开始时准备（开始肯定是要登录了）
        header = {
            "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) "
                          "Chrome/83.0.4103.61 Safari/537.36 "
        }  # 请求头

        if len(USER_CREDENTIALS) > 0:
            user, pwd = USER_CREDENTIALS.pop()  # 取出账户名密码

            r_post = self.client.post("user/login/", {
                "token": 'TOKEN',  # TOKEN
                "username": user,  # 用户名
                "password": pwd,  # 密码
                "next": ""
            }, header=header
            )

            assert r_post.status_code == 200  # 断言请求返回200

            print(r_post.status_code, r_post.text[:1000])  # 打印状态码及返回text

    @task(2)
    def view_index(self):
        print('访问首页')
        r = self.client.get("/index/")

        print(r.status_code)

    @task(6)
    def view_tag(self):
        print('访问标签页')
        r = self.client.get("/tag/")
        
        print(r.status_code)


if __name__ == "__main__":
    import os

    os.system("locust -f demo.py --host=URL")  # 需要测试的地址

• task后面的意思可以理解为权重，在上面的示例中，view_tag被选择为view_index的几率是两倍

2.Task的另外使用方式

from locust import User, constant


def task_one(l):
    print('https://yiluotalk.com/')


class MyUser(User):
    tasks = [task_one]
    wait_time = constant(1)


if __name__ == "__main__":
    import os

    os.system("locust -f demo.py ")

• 执行脚本

https://yiluotalk.com/
https://yiluotalk.com/
https://yiluotalk.com/
https://yiluotalk.com/
https://yiluotalk.com/
https://yiluotalk.com/
https://yiluotalk.com/
https://yiluotalk.com/

• 如果是多个任务的话
  task = [my_task, my_task, my_task, another_task]

3. 小结

如果很熟悉request库的话，基本没有上手的难度
https://yiluotalk.com/2019/12/19/Python%20requests%E5%BA%93(%E4%B8%80)/

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Author：伊洛Yiluo
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