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parsing.py
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parsing.py
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# This locust test script example will simulate a user
# browsing the Locust documentation on http://docs.locust.io
import random
from locust import HttpLocust, TaskSet, task
from pyquery import PyQuery
class BrowseDocumentation(TaskSet):
def on_start(self):
# assume all users arrive at the index page
self.index_page()
self.urls_on_current_page = self.toc_urls
@task(10)
def index_page(self):
r = self.client.get("/")
pq = PyQuery(r.content)
link_elements = pq(".toctree-wrapper a.internal")
self.toc_urls = [l.attrib["href"] for l in link_elements]
@task(50)
def load_page(self, url=None):
url = random.choice(self.toc_urls)
r = self.client.get(url)
pq = PyQuery(r.content)
link_elements = pq("a.internal")
self.urls_on_current_page = [l.attrib["href"] for l in link_elements]
@task(30)
def load_sub_page(self):
url = random.choice(self.urls_on_current_page)
r = self.client.get(url)
class AwesomeUser(HttpLocust):
task_set = BrowseDocumentation
host = "http://docs.locust.io/en/latest/"
# we assume someone who is browsing the Locust docs,
# generally has a quite long waiting time (between
# 20 and 600 seconds), since there's a bunch of text
# on each page
min_wait = 2 * 1000
max_wait = 6 * 1000