Basics of Continuous Integration(CI)

Continuos Integration shortly as CI is a development practice which developers push their code frequently to the development environment and then automated build system build the code and then test it and gives feedback about the newly added code. By this way, codes are added to the main repository in a small piece which reduces the complexity and deltas between new code and the code in development environment. Developers also can reach the latest build code easily. Think that every developer pushes one time in a day, the delta is just a day but if they push one time for week then the delta is 5 times bigger, correspondingly complexity is also 5 times bigger.

CI Pipeline

One of the biggest problem for delivering a feature late is spending longer time for testing product and fixing defects. A classical approach tells us to test at the end of the development but it is usual that planned time is consumed during analysis and development periods. Therefore, after the development there is still pretty much of effort remains. Having longer deployment time means that there are some features are currently written and there are some parts which almost finished but just waiting the other parts to be finished. Again for longer deployment time, automation can only be an activity for testing regression test cases, not testing the upcoming stories because they are not coming continuously to test, they are coming as a big-ban and there is a little time remained for testing. We can list the benefit of CI as follows:

minimize the integration time

minimize time-to-market

minimize the code difference

minimize the rollback scenario

minimize waiting time for test

minimize the complexity of bugs

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

TEST THE RISK!

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