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Locust is an easy-to-use, distributed, user load testing tool. It is intended for load-testing web sites (or other systems) and figuring out how many concurrent users a system can handle. The behavior of each locust (or test user if you will) is defined by you and the swarming process is monitored from a web UI in real-time. This will help you battle test and identify bottlenecks in your code before letting real users in. WWW: https://locust.io/ Approved by: araujo (mentor), rene (mentor) Sponsored by: cleverbridge AG Differential Revision: https://reviews.freebsd.org/D18895
49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
# This locust test script example will simulate a user
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# browsing the Locust documentation on https://docs.locust.io/
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import random
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from locust import HttpLocust, TaskSet, task
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from pyquery import PyQuery
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class BrowseDocumentation(TaskSet):
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def on_start(self):
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# assume all users arrive at the index page
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self.index_page()
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self.urls_on_current_page = self.toc_urls
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@task(10)
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def index_page(self):
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r = self.client.get("/")
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pq = PyQuery(r.content)
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link_elements = pq(".toctree-wrapper a.internal")
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self.toc_urls = [
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l.attrib["href"] for l in link_elements
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]
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@task(50)
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def load_page(self, url=None):
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url = random.choice(self.toc_urls)
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r = self.client.get(url)
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pq = PyQuery(r.content)
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link_elements = pq("a.internal")
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self.urls_on_current_page = [
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l.attrib["href"] for l in link_elements
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]
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@task(30)
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def load_sub_page(self):
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url = random.choice(self.urls_on_current_page)
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r = self.client.get(url)
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class AwesomeUser(HttpLocust):
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task_set = BrowseDocumentation
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host = "https://docs.locust.io/en/latest/"
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# we assume someone who is browsing the Locust docs,
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# generally has a quite long waiting time (between
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# 20 and 600 seconds), since there's a bunch of text
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# on each page
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min_wait = 20 * 1000
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max_wait = 600 * 1000
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