Simplifying API Testing with Pytest and Requests

Simplifying API Testing with Pytest and Requests

As software developers, we often work with APIs, whether consuming third-party services or building our own. Ensuring our API interactions are functioning correctly is crucial, which is where testing comes into play. In this article, we'll explore how to leverage pytest, a powerful Python testing framework, along with the requests library, to streamline API testing.


What is Pytest?

Pytest is a robust, feature-rich testing framework for Python that simplifies writing, organizing, and running tests. It offers a simple and intuitive syntax, making it easy to get started. Additionally, pytest supports a wide range of plugins that extend its functionality, enabling developers to tailor the testing experience to their specific needs.


Testing APIs with Requests

requests made for human

The requests library is a popular Python package designed for making HTTP requests. It provides a straightforward and elegant API, making it simple to interact with APIs. By combining pytest and requests, we can write comprehensive tests for our API interactions.

Here's an example of a basic API test using pytest and requests:

import requests

def test_get_users():
    response = requests.get('https://jsonplaceholder.typicode.com/users')
    assert response.status_code == 200
    assert len(response.json()) > 0        

In this test, we send a GET request to retrieve a list of users from a mock API. We then assert that the response status code is 200 (OK) and that the response contains at least one user.


Pytest Plugins

One of the great strengths of pytest is its plugin ecosystem. Plugins allow developers to extend pytest's functionality and customize the testing experience. Here's a look at a popular pytest plugin:


pytest-html

Pytest-html example output. can be very powerful if being extended with hooks

The pytest-html plugin generates an HTML report for your test results, providing a visually appealing and easily sharable representation of your test suite's outcome. This plugin is particularly useful when running tests in a Continuous Integration (CI) environment, as it allows for easy integration and reporting.

To use pytest-html, you'll need to install it first:

pip install pytest-html        

Then, you can run your tests and generate an HTML report with the following command:

pytest --html=report.html        

This will create an HTML file named report.html containing the test results.


Conftest.py

In pytest, the conftest.py file serves as a central location for storing test configuration, fixtures, and shared resources. Fixtures are reusable pieces of code that can be used across multiple tests, promoting code reuse and reducing duplication.

Here's an example of a conftest.py file that defines a fixture for setting up and tearing down a test session:

import pytest

@pytest.fixture(scope='session')

def setup_teardown():

    # Setup code (e.g., connect to a database, start a server)

    print('Setting up test session')

    yield  # This is where the tests run

    # Teardown code (e.g., disconnect from the database, stop the server)

    print('Tearing down test session')        

In this example, the setup_teardown fixture runs the setup code before the test session starts and the teardown code after the session ends. Tests can then use this fixture by including it as a parameter in the test function.

By leveraging pytest, requests, plugins like pytest-html, and conftest.py, developers can streamline their API testing processes, improve test organization and reporting, and ultimately deliver higher-quality software.



#python #pytest #automation #tests


Haim Cohen ???? ???

DevOps ?? ? DevSecOps ?? ? Cloud Engineer ?? ? Infrastructure Guru ?? ? AI-Driven Solutions??

12 个月

Great.

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