Metadata-Version: 2.4 Name: asyncio-dgram Version: 3.0.0 Summary: Higher level Datagram support for Asyncio Project-URL: Homepage, https://github.com/jsbronder/asyncio-dgram Project-URL: Repository, https://github.com/jsbronder/asyncio-dgram.git Project-URL: Issues, https://github.com/jsbronder/asyncio-dgram/issues Project-URL: Changelog, https://github.com/jsbronder/asyncio-dgram/blob/master/ChangeLog Author-email: Justin Bronder License-Expression: MIT License-File: LICENSE Keywords: asyncio,datagram,udp Classifier: Development Status :: 5 - Production/Stable Classifier: Framework :: AsyncIO Classifier: Intended Audience :: Developers Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: Programming Language :: Python :: 3.13 Classifier: Programming Language :: Python :: 3.14 Requires-Python: >=3.9 Description-Content-Type: text/markdown [![Build Status](https://github.com/jsbronder/asyncio-dgram/actions/workflows/weekly.yml/badge.svg)]( https://github.com/jsbronder/asyncio-dgram/actions/workflows/weekly.yml) # Higher level Datagram support for Asyncio Simple wrappers that allow you to `await read()` from datagrams as suggested by Guido van Rossum [here](https://github.com/python/asyncio/pull/321#issuecomment-187022351). I frequently found myself having to inherit from `asyncio.DatagramProtocol` and implement this over and over. # Design The goal of this package is to make implementing common patterns that use datagrams simple and straight-forward while still supporting more esoteric options. This is done by taking an opinionated stance on the API that differs from parts of asyncio. For instance, rather than exposing a function like [create\_datagram\_endpoint](https://docs.python.org/3/library/asyncio-eventloop.html#asyncio.loop.create_datagram_endpoint) which supports many use-cases and has conflicting parameters, `asyncio_dgram` only provides three functions for creating a stream: - `connect((host, port))`: Creates a datagram endpoint which can only communicate with the endpoint it connected to. - `bind((host, port))`: Creates a datagram endpoint that can communicate with anyone, but must specify the destination address every time it sends. - `from_socket(sock)`: If the above two functions are not sufficient, then `asyncio_dgram` simply lets the caller setup the socket as they see fit. # Example UDP echo client and server Following the example of asyncio documentation, here's what a UDP echo client and server would look like. ```python import asyncio import asyncio_dgram async def udp_echo_client(): stream = await asyncio_dgram.connect(("127.0.0.1", 8888)) await stream.send(b"Hello World!") data, remote_addr = await stream.recv() print(f"Client received: {data.decode()!r}") stream.close() async def udp_echo_server(): stream = await asyncio_dgram.bind(("127.0.0.1", 8888)) print(f"Serving on {stream.sockname}") data, remote_addr = await stream.recv() print(f"Echoing {data.decode()!r}") await stream.send(data, remote_addr) await asyncio.sleep(0.5) print(f"Shutting down server") def main(): loop = asyncio.get_event_loop() loop.run_until_complete(asyncio.gather(udp_echo_server(), udp_echo_client())) if __name__ == "__main__": main() ```