New Modern Open Source Performance Testing Tool : Locust

If you are bored with using old fashioned Java GUI to test the performance of your applications, then you should try Locust. Jmeter, which is old fashioned as I mentioned, is very mature and used by a big community but you have create your test case with an ugly GUI as much features as allows you. For me the best part of Locust is that you can write your test case with Python which is my favourite language and it is very simple to learn. The installation is very simple, you just need to type:

> pip install locustio

Some feature / deficiency of Locust:

You can write your test case in Python
You can define the user time consumption on a page with min_wait and max_wait as milliseconds in locust class so that get a real user simulation.
You can give weight for each test cases so you can simulate real user behaviours like during a specific period of time: 1 person signs up, 10 persons login, 60 persons visit pages, ...
You can make http request as you do in your code such as get, post, put, delete, head, patch and options. So you can send request directly to your api, like: self.client.post("/login", {"username":"testuser", "password":"secret"})
While Jmeter is thread based so it uses a separate thread to create a user but Locust id co-routine and work asynchronously as you see after running the number of user for each case. This means that you can create more user in Locust than in Jmeter.
With the PyQuery library, you can query throughout your interface. For example you can find all the links in html and then send requests to respondent pages.
There is some problem with single page application like if there is "#" in your url it behaves as there is no url.
There is no graphic option but you can hack everything.

You can check the script below which is written for www.myhabit.com to run performance testing for the link on "/my-account" page. With the script, we are loging on the page and then we can open the my account page. The result may not be different when you want to test because it depends on many factors.

For more information about the Locust click here.

Selenium Error "Element is not currently interactable and may not be manipulated"

Selenium webdriver can drive different browsers like as Firefox, Chrome or Internet Explorer. These browsers actually cover the majority of internet users, so testing these browsers possibly covers the 90% of the internet users. However, there is no guaranty that the same automation scripts can work without a failure on these three browsers. For this reason, automation code should be error-prone for the browsers you want to cover. The following error is caught when the test script run for Chrome and Internet Explorer, but surprisingly there is no error for the Firefox. Selenium gives an error like below: Traceback (most recent call last): File "D:\workspace\sample_project\sample_run.py", line 10, in <module> m.login() File "D:\workspace\ sample_project \test_case_imps.py", line 335, in login driver.find_element_by_id("id_username").clear() File "C:\Python27\lib\site-packages\selenium-2.35.0-py2.7.egg\selenium\webdriver\r

Change Default Timeout and Wait Time of Capybara

One of the biggest challenge for automation is handling timeout problem. Most of the time, timeout is 60 seconds but it may sometimes not enough if you have badly designed asynchronous calls or the third party ajax calls. This makes handling timeout more complex. set large enough to tolerate network related problems. For Selenium based automation frameworks, like Capybara, default Webdriver timeout is set to Net::ReadTimeout (Net::ReadTimeout) Changing ReadTimeout If you have timeout problem for Capybara, it gives an error like above. This means that the page is not fully loaded in given timeout period. Even you can see that page is loaded correctly but webdriver wait until the Ajax calls finish. class BufferedIO #:nodoc: internal use only def initialize (io) @io = io @read_timeout = 60 @continue_timeout = nil @debug_output = nil @rbuf = '' end . . . . . def rbuf_fill beg

Create an Alias for Interactive Console Work: Selenium and Capybara

If you are working on shell most of the time Aliases are very helpfull and time saving. For testing purposes you can use Alias for getting ready your test suites. In this post, I want to explain both running Selenium and Capybara on console and creating aliases for each. This post is for Windows machines, if you are using Unix-like see this post . Creating Scripts for Selenium and Capybara First of all, it is assumed that you have installed Selenium and Capybara correctly and they work on your machines. If you haven't installed, you can see my previous posts. I am using the Selenium with Python and the Capybara with Ruby. You can use several different language for Selenium but Capybara works only with Ruby. Create scripts in a directory called scripts (in your home folder, like as ~/scripts ) for your automation tool as following, save them as capybara.rb, sel.py : Creating Aliases Depends on your favourite shell, you need to add the alias to .bashrc bash

Page-Object Pattern for Selenium Test Automation with Python

Page-object model is a pattern that you can apply it to develop efficient automation framework. With the page-model, it is possible to minimize maintenance cost. Basically page-object means that your every page is inherited from a base class which includes basic functionalities for every page. If you have some new functionalities that every page should have, you can simple add it to the base class. Base class is like the following: In this part we are creating pages which are inherited from base page. Every page has its own functionalities written as python functions. Some functions return to a new page, it means that these functions leave the current page and produce a new page. You should write as much as functions you need in the assertion part because this is the only part you can use the webdriver functions to interact with web pages . This part can be evaluate as providing data to assertion part. The last part is related to asserting your test cases against to the

Performance Testing on CI: Locust is running on Jenkins

For a successful Continuous Integration pipeline, there should be jobs for testing the performance of the application. It is necessary if the application is still performing well. Generally performance testing is thought as kinds of activities performed one step before going to live. In general approach it is true but don't forget to test your application's performance as soon as there is an testable software, such as an api end point, functions, and etc. For CI it is a good approach to testing performance after functional testing and just before the deployment of next stage. In this post, I want to share some info about Jenkins and Locust. In my previous post you can find some information about Locust and Jenkins. Jenkins operates the CI environment and Locust is a tool for performance testing. To run the Locust on Jenkins you need command line arguments which control the number of clients , hatch rate, running locust without web interface and there should be so

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