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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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