imgqa 0.3.0

Test Automation Framework

QA automation framework - IMGQA (QA Re-Imagined!)

IMGQA is a python based test automation framework. This unified testing framework has come up after thoroughly studying existing methodologies used in Imaginea projects for UI/Rest API testing, compiled a list of problem statements and prioritized the most painful problems. The framework aims to be a constructive blend of various guidelines, coding standards, concepts, processes, practices, project hierarchies, modularity, reporting mechanism, test data injections etc., to pillar automation testing in Imaginea.

Key Features

• Selenium functions: This module contains 50+ Selenium wrapped functions which are commonly used for UI Testing. These wrapped functions provide a shield of exception handling over the regular selenium methods, handling all different kinds of exception that can occur. If due to some reason, any of the provided method doesnot work, then there is a provision of fall back mechanism, provided in each method, by leveraging javascript.

• Rest API functions: This module contains 10+ Rest API wrapped functions which are commonly used for Rest API Testing, by leveraging python 'requests' library. The methods are generalized, to handle any kind of request like GET, PUT, POST, DELETE etc. The module has provison to manage the authentication token. Additionally, there are generic methods for commonly used assertion types and for validating the parameters, that come along with a request like headers, payload etc.

• Utilities: This module aims to provide community backed utility libraries built with a focus on reusability. Following are the utilities, currently supported by the framework:

  • Image Comparison: This module provides provision for image comparison through openCV, SSIM(Structured similarity index) and MSE(Mean squared error) as opposed to pixel by pixel comparison. The methods are generic and need just 2 images of same dimension as input, to compute the difference. The openCV method checks for difference in blue, green and red channels of the 2 images and SSIM/MSE use mathematical model to compute the difference between 2 images.

  • Captcha Reading: This utility performs the captcha reading from an image, by leveraging the 'pytesseract' module. It takes an image as input, containing captcha, and returns a string, mentioning the captcha.

  • Spell Check, Accessibility Check in web application: This module is in WIP mode, where we are enabling spell checks and accessibility checks in web applications, by leveraging the web spider concept, which browses the World Wide Web in a methodical, automated manner, takes out all the links from a web page and repeats the same process upto 3 levels.

• Reporting: The framework is flexible enough to work with multiple reporting platforms like reportportal.io, allure-report etc. A regular, self-contained and customizable HTML report can also be generated through the use of pytest module.

• Continuous Testing: The framework provides the facility for CT(Continuous Testing) by leveraging Docker. The docker file provided in the framework can be used to setup the necessary prerequisites/environment, needed to run the framework, on any server, from scratch.

Prerequisites

The framework requires

• python 2.7+ / 3.6+
• pip
• pytest to be installed in the machine.

Installing

Once the code has been setup in the machine, you will get a folder named imgqa. To install the framework, open terminal/command prompt, reach to the path, where you have the imgqa folder, then run the following command from inside the imgqa folder:

python setup.py install

The above command will setup the required dependencies, to run the framework.

Running the tests

The sample test cases for all the features are listed under imgqa --> Examples folder. To run the sample tests, open command prompt/terminal, go to imgqa --> Examples folder and run the following command:

pytest {filename}.py