PyTest vs Robot - Which automation testing framework to choose?
Are you confused about which framework to start within python?
Let’s understand what these frameworks are and how to choose between them with their usage.
Robot Framework
Robot Framework is an open-source, keyword-driven test automation framework for Acceptance Testing and Acceptance Test-Driven Development (ATDD). A keyword-driven test approach means capabilities implemented in python can be extended by its test libraries.
Acceptance Testing with Robot Framework:
The test cases in Robot Framework are user-oriented and are not too technical. That is, it has an easy-to-use syntax for test data that allows you to automate tests using keywords.
Acceptance Test-Driven Development:
Acceptance test-driven development (ATDD) is an important agile practice merging requirement gathering with acceptance testing. It is simple enough so that also non-programmers can create and understand test cases.
Why Robot Framework?
This framework is mostly used as a less technical skill is required as compared to programming-language based frameworks Therefore, Can be used by team members that have less experience in programming.
For example, Product owners could express acceptance tests using the framework, without having to know the details of how the product is implemented.
Also, a well experienced technical person can also write keywords in their language of choice to test small functions as for unit testing and integration testing.
Some brief useful points for Robot Framework:
Steps:
Steps:
We use Settings in Robot Framework to import the file in which you have written the function(example:assert.py)like above. With the name abc, Where abc is a keyword used to call the method.
Then, We implement Test Cases to call the method using the keyword declared in Settings.
Pytest is a testing framework based on Python. Pytest is now popular because it’s easy-to-use fixtures. Pytest is mostly used for API testing, also we can use Pytest for simple as well as complex tests, that is, you can write test cases to test APIs, database, etc.
As Pytest is a command-line tool it detects the tests written automatically, just we have to name the test cases with a prefix test and it will execute the test cases and will get the results.
Flexibility:
Fixtures in Pytest makes it simple to define the test cases that will get executed as they are scope based. Custom fixtures are created in a way that they can be easily reused by each new package, the method we add. You can execute the test cases as per session, module, method just QA have to specify the scope of it.
Fixtures:
Fixtures parametrization is another feature that helps us send parameters used during fixtures execution. Parameters in Pytest are added as annotations – pytest.use.fixture, pytest.mark.parameterize.
Pytest Logging:
Pytest is pretty smart, It captures the log messages automatically and displays them for each failed test case in the same manner as captured. By default, for each captured message Pytest displays a line of error, method name, module, and message.
Pre-requisites:
To execute the above code:
Let’s understand the key difference between Pytest and Robot:
According to me, If you are a beginner having less experience in the automation domain, then you should go for Robot Framework as it is easy to use because of its keyword-driven approach and rich in-built libraries. For detailed information refer: https://robotframework.org/
But If you have a good programming skill and want to build complex automation, then you should go for Pytest as it also comes with static code analysis, huge IDE support, etc
For detailed information refer: https://docs.pytest.org/en/latest/index.html
I hope this will help you out to choose the framework according to your requirements.
He is an innovative engineer of new technologies, He has ability of working towards common goals and solid understanding of SDLC. He is well acquainted with agile methodologies and also skilled in automation software testing.
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