|
| 1 | +--- |
| 2 | +title : Async Support in Flask |
| 3 | +sidebar_label : Async Support |
| 4 | +--- |
| 5 | + |
| 6 | +# Async Support in Flask |
| 7 | + |
| 8 | +<SubHeading>Understand async support in Flask</SubHeading> |
| 9 | + |
| 10 | +Prior to [version 2.0](https://palletsprojects.com/blog/flask-2-0-released/), **Flask** does not provide native support for asynchronous programming. |
| 11 | +However, you can use Python's [asyncio library](https://docs.python.org/3/library/asyncio.html) in conjunction with Flask to achieve asynchronous behavior when needed. |
| 12 | + |
| 13 | + |
| 14 | + |
| 15 | +Flask is traditionally a synchronous framework, but you can integrate asynchronous code as required. |
| 16 | + |
| 17 | +For those that are forced to use legacy versions of Flask, here's how you can work with asynchronous code in Flask: |
| 18 | + |
| 19 | +## ✅ **Using asyncio** |
| 20 | + |
| 21 | +You can use Python's `asyncio` library to handle asynchronous operations within your Flask application. Here's a simple example of how you might use `asyncio` in a Flask route: |
| 22 | + |
| 23 | +```python |
| 24 | +from flask import Flask |
| 25 | +import asyncio |
| 26 | + |
| 27 | +app = Flask(__name__) |
| 28 | + |
| 29 | +@app.route('/') |
| 30 | +async def async_route(): |
| 31 | + result = await some_async_function() |
| 32 | + return f'Result: {result}' |
| 33 | + |
| 34 | +async def some_async_function(): |
| 35 | + await asyncio.sleep(2) # Simulating an asynchronous operation |
| 36 | + return 'Async data' |
| 37 | + |
| 38 | +if __name__ == '__main__': |
| 39 | + app.run() |
| 40 | +``` |
| 41 | + |
| 42 | +In this example, the `async_route` function is marked as `async`, and it awaits the result of an asynchronous operation within `some_async_function`. |
| 43 | +The route handler will not block, allowing the server to handle other requests during the waiting period. |
| 44 | + |
| 45 | +## ✅ **Using Flask with gevent** |
| 46 | + |
| 47 | +Another way to achieve asynchronous behavior in Flask is to use the gevent library, which provides a cooperative multitasking environment. Gevent can be used as a WSGI server for Flask, allowing it to handle multiple requests concurrently. |
| 48 | + |
| 49 | +First, install gevent: |
| 50 | + |
| 51 | +```bash |
| 52 | +pip install gevent |
| 53 | +``` |
| 54 | + |
| 55 | +Then, you can use gevent with Flask like this: |
| 56 | + |
| 57 | +```python |
| 58 | +from flask import Flask |
| 59 | +from gevent.pywsgi import WSGIServer |
| 60 | + |
| 61 | +app = Flask(__name__) |
| 62 | + |
| 63 | +@app.route('/') |
| 64 | +def hello(): |
| 65 | + return 'Hello, World!' |
| 66 | + |
| 67 | +if __name__ == '__main__': |
| 68 | + http_server = WSGIServer(('0.0.0.0', 5000), app) |
| 69 | + http_server.serve_forever() |
| 70 | +``` |
| 71 | + |
| 72 | +In this example, the gevent-based WSGIServer enables multiple requests to be handled concurrently without blocking. |
| 73 | + |
| 74 | + |
| 75 | +## ✅ In Summary |
| 76 | + |
| 77 | +Please note that asynchronous programming is typically used for I/O-bound operations to improve the responsiveness and efficiency of your web application. |
| 78 | +Flask is well-suited for such use cases when combined with appropriate asynchronous libraries like `asyncio` or gevent. |
| 79 | + |
| 80 | +However, for CPU-bound tasks, you might want to explore other asynchronous frameworks like FastAPI, which has native support for asynchronous programming. |
| 81 | + |
| 82 | +<br /> |
| 83 | + |
| 84 | +## ✅ Resources |
| 85 | + |
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