当咱们接到压测任务的时候,若是被测系统须要登陆的时候,首先须要处理登陆,而后再进行其余接口压测。javascript
首先看一下官方文档:html
Using the @task decorator to declare tasks is a convenience, and usually the best way to do it. However, it’s also possible to define the tasks of a User or TaskSet by setting the tasks
attribute (using the @task decorator will actually just populate the tasks attribute).java
The tasks attribute is either a list of Task, or a <Task : int> dict, where Task is either a python callable or a TaskSet class (more on that below). If the task is a normal python function they receive a single argument which is the User instance that is executing the task.python
Here is an example of a User task declared as a normal python function:web
from locust import User, constant def my_task(l): pass class MyUser(User): tasks = [my_task] wait_time = constant(1)
If the tasks attribute is specified as a list, each time a task is to be performed, it will be randomly chosen from the tasks attribute. If however, tasks is a dict - with callables as keys and ints as values - the task that is to be executed will be chosen at random but with the int as ratio. So with a tasks that looks like this:api
{my_task: 3, another_task: 1}
my_task would be 3 times more likely to be executed than another_task.dom
Internally the above dict will actually be expanded into a list (and the tasks
attribute is updated) that looks like this:函数
[my_task, my_task, my_task, another_task]
and then Python’s random.choice()
is used pick tasks from the list.post
上面总结出来就是:若是随机权重,就用列表,若是指定权重,就用字段。性能
from locust import TaskSet,HttpLocust,between def login(x): x.client.post('/login',{'username':'admin','password':'123456'}) def logout(x): x.client.post('/logout',{'username':'admin','password':'123456'}) def home(x): x.client.get('/') def systeminfo(x): x.client.get('systeminfo') class TestLogin(TaskSet): tasks = {home: 3,systeminfo: 1} def on_start(self): login(self) def on_stop(self): logout(self) class WebSiteUser(HttpLocust): task_set = TestLogin wait_time = between(3,6)
实例:
from locust import TaskSet,HttpLocust,between,task def login(x): url = '/api/private/v1/login' body = { "username": "admin", "password": "123456" } r = x.client.post(url=url, data=body) print(r.text) def logout(x): print("退出系统") def home(x): print("进入主页") def systeminfo(x): print("进入系统管理") class TestLogin(TaskSet): tasks = {home: 1,systeminfo: 1} # @task def setup(self): print("开始...") def teardown(self): print("结束...") def on_start(self): print("启动") login(self) # @task def on_stop(self): print("中止") logout(self) class WebSiteUser(HttpLocust): def setup(self): print('locust setup') def teardown(self): print('locust teardown') task_set = TestLogin wait_time = between(1,2) if __name__ == '__main__': import os os.system('locust -f locustfile.py --host=http://192.168.1.105:8899 --port=8089 ')
说明:
Locust类有setup和teardown,TaskSet类有setup、teardown、on_start、on_stop。
每次启动locust时运行setup方法,退出时运行teardown方法,locust执行TaskSet时运行TaskSet的setup方法,退出时运行teardown方法,每一个虚拟用户执行操做时运行on_start方法,退出时执行on_stop方法,运行上面的脚本,执行顺序以下:
执行顺序:Locust setup → TaskSet setup → TaskSet on_start → TaskSet tasks → TaskSet on_stop → TaskSet teardown → Locust teardown
运行结果:
[2020-06-22 21:30:10,993] WIN10-804191526/INFO/locust.main: Starting web monitor at http://*:8089 [2020-06-22 21:30:10,993] WIN10-804191526/INFO/locust.main: Starting Locust 0.14.6 [2020-06-22 21:30:20,212] WIN10-804191526/INFO/locust.runners: Hatching and swarming 2 users at the rate 1 users/s (0 users already running)... [2020-06-22 21:30:20,213] WIN10-804191526/INFO/stdout: locust setup [2020-06-22 21:30:20,213] WIN10-804191526/INFO/stdout: [2020-06-22 21:30:20,213] WIN10-804191526/INFO/stdout: 开始... [2020-06-22 21:30:20,213] WIN10-804191526/INFO/stdout: [2020-06-22 21:30:20,213] WIN10-804191526/INFO/stdout: 启动 [2020-06-22 21:30:20,213] WIN10-804191526/INFO/stdout: [2020-06-22 21:30:21,213] WIN10-804191526/INFO/locust.runners: All locusts hatched: WebSiteUser: 2 (0 already running) [2020-06-22 21:30:21,213] WIN10-804191526/INFO/stdout: 启动 [2020-06-22 21:30:21,213] WIN10-804191526/INFO/stdout: [2020-06-22 21:30:41,220] WIN10-804191526/INFO/stdout: [2020-06-22 21:30:41,220] WIN10-804191526/INFO/stdout: [2020-06-22 21:30:41,220] WIN10-804191526/INFO/stdout: 进入主页 [2020-06-22 21:30:41,220] WIN10-804191526/INFO/stdout: [2020-06-22 21:30:42,217] WIN10-804191526/INFO/stdout: [2020-06-22 21:30:42,217] WIN10-804191526/INFO/stdout: [2020-06-22 21:30:42,217] WIN10-804191526/INFO/stdout: 进入系统管理
界面:
from locust import TaskSet,HttpLocust,between,task class TestLogin(TaskSet): def setup(self): print("开始...") def teardown(self): print("结束...") def _login(self): url = '/api/private/v1/login' body = { "username": "admin", "password": "123456" } r = self.client.post(url=url, data=body) print(r.text) assert "等1" in r.text def logout(self): print("退出系统") @task(1) def home(self): print("进入主页") @task(1) def systeminfo(self): print("进入系统管理") def on_start(self): """ on_start is called when a Locust start before any task is scheduled """ print("启动") self._login() def on_stop(self): """ on_stop is called when the TaskSet is stopping """ print("中止") self.logout() class WebsiteUser(HttpLocust): task_set = TestLogin def setup(self): print('locust setup') def teardown(self): print('locust teardown') wait_time = between(5,6) if __name__ == '__main__': import os os.system('locust -f locustfile_pro.py --host=http://192.168.1.105:8899 --port=8084')
结果:
[2020-06-22 23:47:09,088] WIN10-804191526/INFO/locust.main: Starting web monitor at http://*:8084 [2020-06-22 23:47:09,088] WIN10-804191526/INFO/locust.main: Starting Locust 0.14.6 [2020-06-22 23:48:05,436] WIN10-804191526/INFO/locust.runners: Hatching and swarming 1 users at the rate 1 users/s (0 users already running)... [2020-06-22 23:48:05,436] WIN10-804191526/INFO/stdout: locust setup [2020-06-22 23:48:05,436] WIN10-804191526/INFO/stdout: [2020-06-22 23:48:05,436] WIN10-804191526/INFO/locust.runners: All locusts hatched: WebsiteUser: 1 (0 already running) [2020-06-22 23:48:05,436] WIN10-804191526/INFO/stdout: 开始... [2020-06-22 23:48:05,436] WIN10-804191526/INFO/stdout: [2020-06-22 23:48:05,436] WIN10-804191526/INFO/stdout: 启动 [2020-06-22 23:48:05,436] WIN10-804191526/INFO/stdout: [2020-06-22 23:48:05,513] WIN10-804191526/INFO/stdout: 测试 [2020-06-22 23:48:05,513] WIN10-804191526/INFO/stdout: [2020-06-22 23:48:05,513] WIN10-804191526/INFO/stdout: 响应数据是:{"data":{"id":500,"rid":0,"username":"admin","mobile":"12345678","email":"adsfad@qq.com","token":"Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1aWQiOjUwMCwicmlkIjowLCJpYXQiOjE1OTI4NDA4ODUsImV4cCI6MTU5MjkyNzI4NX0.wN9CrRtyENoQgMWKgtaK5toa47fB3qz1nvki9PvqdVg"},"meta":{"msg":"登陆成功","status":200}} [2020-06-22 23:48:05,513] WIN10-804191526/INFO/stdout: [2020-06-22 23:48:05,513] WIN10-804191526/INFO/stdout: 进入主页 [2020-06-22 23:48:05,513] WIN10-804191526/INFO/stdout: [2020-06-22 23:48:11,277] WIN10-804191526/INFO/stdout: 进入系统管理
界面:
须要注意的是若是是V0.13.0版本以上就不能用min_wait和max_wait了。否则会报错:
eprecationWarning: Usage of min_wait and max_wait is deprecated since version 0.13. Instead use: wait_time = between(5, 6) ), DeprecationWarning
脚本解读:
一、建立TestLogin()类继承TaskSet类: 用于定义测试业务。 二、建立login()、logout()、home()、systeminfo()方法分别表示一个行为,访问http://127.0.0.1:8899。用@task() 装饰该方法为一个任务。一、2表示一个Locust实例被挑选执行的权重,数值越大,执行频率越高。在当前TestLogin()行为下的两个方法得执行比例为1:1 三、WebsiteUser()类: 用于定义模拟用户。 四、task_set : 指向一个定义了的用户行为类。 五、host: 指定被测试应用的URL的地址 六、min_wait : 用户执行任务之间等待时间的下界,单位:毫秒。 七、max_wait : 用户执行任务之间等待时间的上界,单位:毫秒。
备注:默认状况下,时间是在min_wait和max_wait之间随机选择,可是能够经过将wait_function设置为任意函数来使用任何用户定义的时间分布。
对于指数分布的等待时间平均为1秒:
class WebsiteUser(HttpLocust): task_set = TestLogin wait_function = lambda self: random.expovariate(1) * 1000
最新文档:
历史文档:
在cmd窗口,进入到执行py文件的路径下,进行start,默认的启用方法以下: >>> locust -f 须要执行的脚本.py --host=http://须要用到的url 官网针对启用,专门的介绍以下: To run Locust with the above Locust file, if it was named locustfile.py and located in the current working directory, we could run: locust --host=http://example.com If the Locust file is located under a subdirectory and/or named different than locustfile.py, specify it using -f: locust -f locust_files/my_locust_file.py --host=http://example.com To run Locust distributed across multiple processes we would start a master process by specifying --master: locust -f locust_files/my_locust_file.py --master --host=http://example.com and then we would start an arbitrary number of slave processes: locust -f locust_files/my_locust_file.py --slave --host=http://example.com If we want to run Locust distributed on multiple machines we would also have to specify the master host when starting the slaves (this is not needed when running Locust distributed on a single machine, since the master host defaults to 127.0.0.1): locust -f locust_files/my_locust_file.py --slave --master-host=192.168.0.100 --host=http://example.com You may wish to consume your Locust results via a csv file. In this case, there are two ways to do this. First, when running the webserver, you can retrieve a csv from localhost:8089/stats/requests/csv and localhost:8089/stats/distribution/csv. Second you can run Locust with a flag which will periodically save the csv file. This is particularly useful if you plan on running Locust in an automated way with the --no-web flag: locust -f locust_files/my_locust_file.py --csv=foobar --no-web -n10 -c1 You can also customize how frequently this is written if you desire faster (or slower) writing:
import locust.stats locust.stats.CSV_STATS_INTERVAL_SEC = 5 # default is 2 seconds
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