How to use pytest function in Pytest

by gayathrimohan Updated: Dec 13, 2023

Solution Kit

A Pytest function refers to a test function written using the Pytest framework. It is a popular testing library in Python.

The purpose of a Pytest function is to verify specific piece of code behaves as expected. It contains assertions that check if the actual output matches the expected result. It helps to ensure the correctness of the tested software. Pytest provides a straightforward syntax for writing tests. This makes it easy to create and maintain test suites for Python projects.

Pytest offers simplicity and flexibility, standing out among testing frameworks. Its concise syntax reduces boilerplate code, making tests more readable. Additionally, fixtures enable efficient setup and teardown processes, enhancing test organization. Pytest's parameterization and powerful assertions contribute to expressive and informative test cases.

To write and run a basic Pytest function, follow these steps:

Installation: Install the Pytest if not already using: "pip install pytest".
Write a Test Function: Create a Python file, e.g., test_example.py. It defines a test function starting with "test_".
Run the Test: Open a terminal, navigate to the directory containing your test file. run the file: "pytest test_example.py"
Set Up Test Fixtures: Use pytest.fixture for setup code shared across many tests.
Run Many Tests: Ensure all test files follow the naming convention test_*.py. To run all tests in the current directory, use: "pytest path/to/tests/"
You can also specify a specific test function: "pytest test_example.py::test_addition"

Here are some tips for organizing and naming pytest functions:

1.Consistent Naming Convention:

Use descriptive names that conveys test's purpose.
Follow a consistent naming convention. Those are such as starting with "test_" to make it clear that it's a test function.

2.Group Related Tests:

Group related tests together within the same test file or class. This maintains organization and makes it easier to locate tests.

3.Use Subdirectories:

Consider organizing tests into subdirectories based on functionality or modules. This can help manage larger test suites.

4.Parameterized Tests:

Use parameterized tests when testing similar scenarios with different inputs. This reduces code duplication. This makes it easy to understand the testing variations.

5.Test Fixtures:

Use fixtures for common setup or cleanup code. This promotes code reusability and maintains a clean and consistent testing environment.

6.Separate Unit and Integration Tests:

Distinguish between unit tests and integration tests. You might organize them into separate directories.

7.Test Classes:

If you have many related tests, consider grouping them within a test class. This can improve readability and organization.

8.Readable Assertions:

Write clear and readable assertions. Ensure that failure messages provide meaningful information to identify the issue.

9.Documentation:

Add docstrings to your test functions. It describes the purpose of the test, any prerequisites, and expected outcomes. This aids in understanding the tests.

10.Continuous Refactoring:

review and refactor your test suite as the codebase evolve. This helps maintain an organized and efficient testing structure.

In pytest functions, various assertions confirms conditions. It ensures the expected behavior of code.

Here are some common types:

Equality Assertions
Numeric Assertions
Container Assertions
Exception Handling Assertions
Approximate Equality Assertions
String Assertions
Custom Assertions

When dealing with test failures in pytest functions, consider the following steps:

Read the Failure Traceback
Isolate the Issue
Check Input Values
Use pytest's -k Option
Review Code Logic
Run Test in Isolation
Check External Dependencies
Use Debugger
Explore Fixtures and Setup
Review Documentation
Consult Community or Documentation
Retry with Known Data

In Conclusion, Pytest has simple and powerful features. Those features contribute to this process by streamlining test creation and execution.

Fig: Preview of the output that you will get on running this code from your IDE.

Code

In this solution we are using pytest library in Python.

pytest functions don't return data to be used in following functions in the same pytest file?

PythonLines of Code : 54License : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries :

import pytest


@pytest.fixture(scope="function")
def my_funcion_fixture():
    print("Function fixture initialized")
    return 123


@pytest.fixture(scope="session")
def my_session_fixture():
    print("Session fixture initialized")
    return 456
    # Ideally, this is where you put <data_to_test = load_sample (NAME_FILE_1)> and return the <data_to_test>


def test_first(my_funcion_fixture, my_session_fixture):
    assert my_funcion_fixture == 123
    assert my_session_fixture == 456


def test_second(my_funcion_fixture, my_session_fixture):
    assert my_funcion_fixture == 123
    assert my_session_fixture == 456


def test_third(my_funcion_fixture, my_session_fixture):
    assert my_funcion_fixture == 123
    assert my_session_fixture == 456


def test_fourth(my_funcion_fixture, my_session_fixture):
    assert my_funcion_fixture == 123
    assert my_session_fixture == 456

$ pytest -q -rP
....
[100%]
================================================================================================= PASSES ==================================================================================================
_______________________________________________________________________________________________ test_first ________________________________________________________________________________________________
------------------------------------------------------------------------------------------ Captured stdout setup ------------------------------------------------------------------------------------------
Session fixture initialized
Function fixture initialized
_______________________________________________________________________________________________ test_second _______________________________________________________________________________________________
------------------------------------------------------------------------------------------ Captured stdout setup ------------------------------------------------------------------------------------------
Function fixture initialized
_______________________________________________________________________________________________ test_third ________________________________________________________________________________________________
------------------------------------------------------------------------------------------ Captured stdout setup ------------------------------------------------------------------------------------------
Function fixture initialized
_______________________________________________________________________________________________ test_fourth _______________________________________________________________________________________________
------------------------------------------------------------------------------------------ Captured stdout setup ------------------------------------------------------------------------------------------
Function fixture initialized
4 passed in 0.07s

Instructions

Follow the steps carefully to get the output easily.

Download and Install the PyCharm Community Edition on your computer.
Open the terminal and install the required libraries with the following commands.
Create a new Python file on your IDE.
Copy the snippet using the 'copy' button and paste it into your python file.
Remove lines of code from no: 36 to 53. Then save the code.
Run the current file to generate the output.

I hope you found this useful.

I found this code snippet by searching for 'How to use pytest function in Pytest' in Kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

PyCharm Community Edition 2022.3.1
The solution is created in Python 3.11.1 Version
q Current Version
rows v0.4.1 Version

Using this solution, we can able to use pytest function in Pytest in python with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to use pytest function in Pytest in python.

Dependent Library

qby zestyping

Python

1239

Version:Current

License: Permissive (Apache-2.0)

Quick and dirty debugging output for tired programmers. ⛺

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qby zestyping

Python 1239 Version:Current License: Permissive (Apache-2.0)

Quick and dirty debugging output for tired programmers. ⛺

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rowsby turicas

Python

846

Version:v0.4.1

License: Weak Copyleft (LGPL-3.0)

A common, beautiful interface to tabular data, no matter the format

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rowsby turicas

Python 846 Version:v0.4.1 License: Weak Copyleft (LGPL-3.0)

A common, beautiful interface to tabular data, no matter the format

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You can search for any dependent library on Kandi like 'q' and 'rows'.

FAQ

1. What are pytest test functions. How do they contribute to creating simple and scalable test cases?

Pytest test functions use the pytest framework to define and execute tests. They contribute to creating simple and scalable test cases. This allows you to organize and structure your tests.

2. How to write and execute the first pytest program?

To write and execute the program create a file containing test functions with "test_". Then, run the file using the "pytest" command in the terminal.

3. How to organize test suite using many test functions in a single test file?

You can organize test suite can using many test functions in a single test file. This helps grouping related tests within the same file. This helps in maintaining a logical structure and avoids redundancy in test code.

4. What is the purpose of using simple unit tests in pytest for efficient testing?

Simple unit tests serve the purpose of testing individual units of code in isolation. They help ensure that each part of your code works as expected. It facilitates early bug detection and making it easier to pinpoint and fix issues.

5. How does the programming language influence the writing of pytest function code?

The programming language influences pytest function code. This defines the syntax and structure of the tests. pytest to become language-agnostic. This allows you to write tests for various languages. It excels in Python. It makes test code concise and readable with features. Those features are like fixtures and parameterized testing.

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How to use pytest function in Pytest

To write and run a basic Pytest function, follow these steps:

Here are some tips for organizing and naming pytest functions:

Here are some common types:

When dealing with test failures in pytest functions, consider the following steps:

Code

Instructions

Environment Tested

Dependent Library

FAQ

Support

Open Weaver – Develop Applications Faster with Open Source

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