Pytest is a powerful and flexible testing framework for Python. It’s designed to make writing tests enjoyable and efficient. In this section, we’ll explore the basics of Pytest and how to use it to test your FastAPI applications.
Getting Started with Pytest
- Installation: If you haven’t already, install Pytest using pip:Bash
pip install pytest
- Creating Test Files: Create a
tests
directory in your project and create test files within it. Pytest automatically discovers test files that follow the naming conventiontest*.py
. - Writing Tests: Write your tests using the
pytest.mark
decorator to indicate test functions. Here’s a basic example:Pythonimport pytest def test_add(): assert 2 + 2 == 4
Running Tests
To run your tests, open a terminal and navigate to your project directory. Then, execute the following command:
Bash
pytest
Pytest will automatically discover and run all tests in your project.
Common Test Fixtures
Pytest provides built-in fixtures that can be used to set up and tear down test environments. Some common fixtures include:
tmpdir
: Creates a temporary directory for testing.monkeypatch
: Allows you to patch functions or modules during tests.requests_mock
: Simulates HTTP requests for testing APIs.
Example using tmpdir
:
Python
import pytest
def test_create_file(tmpdir):
file_path = tmpdir.join("test.txt")
with open(file_path, "w") as f:
f.write("Hello, world!")
assert file_path.exists()
Testing FastAPI Applications
To test FastAPI applications, you can use the fastapi.testclient.TestClient
class to create a test client. This client allows you to make requests to your application and inspect the responses.
Example:
Python
from fastapi import FastAPI
import pytest
app = FastAPI()
@app.get("/")
def read_root():
return {"Hello": "World"}
@pytest.fixture
def client():
with TestClient(app) as client:
yield client
def test_read_root(client):
response = client.get("/")
assert response.status_code == 200
assert response.json() == {"Hello": "World"}
Additional Features
Pytest offers many additional features, including:
- Parametrization: Test multiple inputs with a single test function.
- Markers: Mark tests with custom labels for conditional execution.
- Plugins: Extend Pytest’s functionality with plugins.
By using the power of Pytest, you can write comprehensive and effective tests for your FastAPI applications, ensuring their quality and reliability.