📅  最后修改于: 2023-12-03 14:40:13.314000             🧑  作者: Mango
CORS (cross-origin resource sharing) is a security feature implemented by web browsers to restrict unauthorized access to resources on a web page. The CORS Python Function Framework locally is a tool used by developers to build secure and scalable serverless applications in Python that can handle CORS.
To install the CORS Python Function Framework locally, you need to have Python 3.6 or higher installed on your computer. Open a command prompt window and use the following command to install the framework:
pip install cors-python
The CORS Python Function Framework locally provides a development server that you can use to test your code. To use the development server, create a new Python file and import the framework using the following code:
from cors_py import CorsPy
app = CorsPy(__name__)
You can then write your Python code to handle requests from your web browser. To handle a GET request and return some data, you could use the following code:
@app.route('/data')
def get_data():
return {'data': 'hello world'}
You can start the development server by using the run
command:
if __name__ == '__main__':
app.run()
The server will start on localhost:5000
. You can test your code by accessing localhost:5000/data
in your web browser.
By default, the CORS Python Function Framework locally restricts access from other domains. You can modify this behavior by using the @app.after_request
decorator to add CORS headers to your response.
@app.after_request
def after_request(response):
response.headers.add('Access-Control-Allow-Origin', '*')
response.headers.add('Access-Control-Allow-Headers', 'Content-Type,Authorization')
response.headers.add('Access-Control-Allow-Methods', 'GET,PUT,POST,DELETE,OPTIONS')
return response
This code adds the necessary headers to allow access from any domain. You can modify the headers to restrict access to specific domains if necessary.
The CORS Python Function Framework locally is a powerful tool that can help you build secure and scalable serverless applications in Python. By following the steps outlined in this article, you can quickly and easily get started with the framework and start building your own applications.