Getting Started with Pytest

Python Pytest is a framework based on Python. It is mainly used to write API test cases. It helps you write better programs. In the present days of REST services, Pytest is mainly used for API testing even though we can use Pytest to write simple to complex test cases, i.e., we can write codes to test API, UI, database, etc.

In this article, we will learn about What is Pytest, the Installation of Pytest, and How you can write the test.

It’s better to test your programs in Visual Studio code. Make sure Python has to be installed in your system and its extensions have to be installed in VS Code before testing your code.

How to Install Pytest?

To install Pytest, you can use the package manager for your Python environment, typically either ‘pip’ or ‘condo’. Here are the general steps for installing Pytest using ‘pip’.

Open a terminal or command prompt:

• On Windows, You can use Command Prompt or Power Shell.
• On macOS or Linux, you can use the terminal.

Install Pytest using pip :

Python3

pip install pytest

After installing Pytest in you System , You need to verify the installing .

Verify the installation :

You can verify that Pytest is installed by checking its version:

Python3

pytest --version

This should display installed version of pytest.

You have successfully installed Pytest. Now, you can use Pytest run your tests using pytest. If you have not written any tests yet , You can start by creating a file. Below is the given examples to write a basic test

Write our Basic Test

In this example, we first imported the Pytest module. After that we have defined a function func(x). In this function, it adds 5 to x and returns the result. Then, we defined another function named test_method. It uses an assert statement to check whether the result of func(3) is equal to 8. The purpose of this test is to verify that when you pass 3 as an argument to func, it correctly adds 5 to it, resulting in 8. If this condition is true, the test passes; otherwise, it will raise an assertion error.

test_sample.py: Passed Test Case

Python3

# importing the module
import pytest

#defining a function with parameter x
def func(x):
    return x+5

#defining an another function
def test_method():
#check whether 3+5 = 8 or not by passing 3 as an argument in function x
    assert func(3) == 8

Run the Program

Just type the following command to run the program to run the code:

pytest test_sample.py

Output

In the below output, the argument 3 adds to 5 resulting in 8. And the condition is true. So, the test has passed.

Here is an example below , When Test Cases are failed –

Example 2: Failed Test Case

In the below code, You firstly import the “pytest” module, that provides the testing framework. After that you need to define a function func(x)’ that takes parameter “x” and returns “x +5”. You can define test function “test_method()” using the pytest naming convention. The test function uses the “assert” statement to check if the result of ‘func(3)’ is equal to 5.

Python3

# importing the module
import pytest

#defining a function with parameter x
def func(x):
  return x+5

#defining an another function
def test_method():
 #check whether 3+5 = 5 or not by passing 3 as an argument in function x
  assert func(3) == 5

Output

Multiple Tests at a Time

In this example, we firstly import the module pytest. Then, define a function named test_answer1. Inside this function, assign the values 5 and 10 to the variables a and b. And check whether a and b are equal or not. If the condition is true, the test will be passed. Otherwise, it will raise an assertion error. Define an another function named test_answer2. Inside this function, assign the 15 and (3*5) to the variables c and d. And check whether c and d are equal or not. If the condition is true, the test will be passed. Otherwise, it will raise an assertion error.

Python3

import pytest

def test_answer1():
  a = 5
  b = 10
  assert a==b

def test_answer2():
  c = 15
  d = 3*5
  assert c==d

Run the first function “test_answer1”. Just type the following in the terminal.

py.test -k answer1 -v 

Output

In the first function i.e test_answer1, the variable a is not equal to the variable b. So, it raised an assertion error. Run the second function test_answer2. Just type the following in the terminal:

py.test -k answer2 -v

Output

In this case, the variable c is eaual to the variable d. So, the test are passed.

What are Python Testing Frameworks?

• UnitTest: ‘unittest’ is a bilt-in testing library in Python. It follows the xUnit Style and provides a tests discovery mechanism.
• pytest: Pytest is third party testing framework that is widely used for its simplicity and powerful features. I has arich est of plugins and support fixtures, parameterized testing , and more.
• nose2: “nose2” is an extension of the older “nose” testing framework. It provides test discovery and a variety of plugins for additional features.
• doctest: “doctest” allows you to tests directly in your documentation and it extracts and runts tests from docstrings in your code.

Advantages of Pytest

• Pytest can run multiple test cases in parallel, which reduces the execution time of the test suite.
• Pytest has its own way of detecting the test file and test functions automatically, if not mentioned explicitly.
• It allows us to skip a subset of the tests during execution.
• It is free and open source.

Conclusion

In conclusion, Pytest is powerful and widely-used testing frameworks in Python ecosystem. It offers a simple syntax for writing test, making it easy for developers to get started with testing their code.