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Introduction
Python is gaining more and more popularity every passing day due to its no boilerplate code and easy to use syntax. Being a python developer having a testing framework for python makes it easier to ensure that code is robust and would not fail in varying test cases. PyTest helps us achieve all that by writing scalable and straightforward test cases for our databases, APIs, or UI. In this article, we will see what PyTest is and how it helps us write simple and scalable test cases for our database.
PyTest is a testing framework that allows its users to write test codes using python.PyTest helps us write simple and scalable test cases for databases, APIs, or UI. PyTest is used for writing test cases for APIs.It helps us write tests, from simple unit tests to complex functional tests. Significant advantages of using PyTest are
PyTest is very easy to start with because of its simple, easy, and no boilerplate code syntax.
It can run tests in parallel.
It can run a subset of tests or specific tests.
It detects tests automatically.
It skips tests
It is open-source
Installing PyTest
To install python, run the following command in the windows command prompt
pip install pytest==2.9.1
After Installing to confirm the pytest installation run
py.test -h
Basic PyTest
In this section, we will see how to use pytest by looking into some basic examples of pytest. Create a folder code_pytest. Create our test files inside these test files. Create a file name second_PyTest.py inside the folder. Add the below code and run it with the following command
Assertions in Pytest are used to check the return True or False status. In PyTest, if an assertion fails in a test method, then that particular method execution is stopped there itself. Pytest will not execute the remaining code of the method, and pytest assertion will continue with the following methods.
Example:
assert "hello" == "Hai" is an assertion failure.
assert 4==4 is a successful assertion
assert True is a successful assertion
assert False is an assertion failure.
Consider the following
assert x == y,"test failed because x=" + str(x) + " y=" + str(y)
Place this code in our above test_file1_method1() instead of the following assertion
assert x == y,"test failed"
On running the above code, we will get an assertion error.
Identification of Test Methods and Test Files by PyTest
PyTest, by default, only identifies file names starting with test_ or ending with _test as the text files. Test Method names should start with "test".All other names are ignored by PyTest even if we ask pyTest to run those methods explicitly.
Running Multiple tests from Specific files and multiple files
We have saved a file test_sample1.py inside our folder study_pytest. Now let us assume we have multiple files like test_sample2.py,test_sample3.py. To run all the tests from all the files in the folder and subfolders, we need to run the following pytest command.
py.test
The above command will run all the filenames starting with test_ and the filenames ending with _test in that folder and subfolders under that folder.Now to run tests only from a specific file, we use
PyTest is a testing framework that allows its users to write test codes using python.PyTest helps us write simple and scalable test cases for databases, APIs, or UI.
What is an Assertion in PyTest?
Assertions in Pytest are used to check the return True or False status. If any assertion fails in a test method, then that particular method execution is stopped there itself, and PyTest will not execute the remaining code of the method.
What are some advantages of using PyTest?
PyTest is open source and easy to start with because of its simple, easy and no boilerplate code syntax. It can run tests in parallel and run a subset of tests or specific tests.
How to Install PyTest using windows command prompt?
To install python, run the following command in the windows command prompt
pip install pytest==2.9.1
How to confirm the installation of PyTest?
To confirm the pytest installation run the “py.test -h” command in your command prompt
Conclusion
This article extensively discussed the PyTest, a Python testing framework, and covered its installation, the Basic PyTest program and Assertion in PyTest, Its uses, and critical concepts.