How to implement continuous integration and automated testing of requests in FastAPI

How to implement continuous integration and automated testing of requests in FastAPI

FastAPI is a high-performance web framework based on Python that provides a simple and easy-to-use API development experience. At the same time, continuous integration and automated testing are indispensable links in modern software development, which can greatly improve the quality and development efficiency of projects. This article will introduce how to implement continuous integration and automated testing of requests in FastAPI, and attach corresponding code examples.

First, we need to use a continuous integration tool, such as GitHub Actions, Jenkins or Travis CI. These tools help us automate the building, testing and deployment of our FastAPI applications.

In our FastAPI application, we need to use pytest to write and run automated tests. pytest is a powerful and easy-to-use Python testing framework that can help us write reliable unit tests, integration tests and end-to-end tests.

Here is the code for a sample FastAPI application:

from fastapi import FastAPI

app = FastAPI()

@app.get("/")
async def root():
    return {"message": "Hello World"}

In our project root directory, we need to create a directory called tests and put it in Write our automated tests.

The following is an example of testing the root endpoint:

def test_root():
    from fastapi.testclient import TestClient
    from main import app

    client = TestClient(app)
    response = client.get("/")

    assert response.status_code == 200
    assert response.json() == {"message": "Hello World"}

In the above example, we used TestClient to simulate an HTTP client , send a GET request to our root endpoint, and assert whether the returned status code and response body are as expected.

In order to automatically run tests and lint checks when code is submitted, we can use hooks or commands provided by continuous integration tools to call pytest and lint tools. For example, create a file named ci.yml in the .github/workflows directory with the following content:

name: Continuous Integration

on:
  push:
    branches:
      - main

jobs:
  build:
    runs-on: ubuntu-latest

    steps:
    - name: Check out code
      uses: actions/checkout@v2

    - name: Set up Python
      uses: actions/setup-python@v2
      with:
        python-version: 3.9

    - name: Install dependencies
      run: pip install -r requirements.txt

    - name: Run tests
      run: pytest

    - name: Run lint
      run: pylint main.py

In the above example, we configured A continuous integration job that runs when code is committed to the main branch. The job contains a series of steps, including checking out the code, setting up the Python environment, installing dependencies, running tests and running lint.

It should be noted that this is just an example and does not apply to all projects. Depending on the actual situation, appropriate modifications and adjustments may be required.

Through continuous integration and automated testing, we can ensure that every code submission will go through automated testing and lint checks, thereby improving code quality and development efficiency. Implementing continuous integration and automated testing of requests in FastAPI can help us effectively build and maintain high-quality API applications.

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