Concurrently

Library helps to easily write concurrent executed code blocks.

Quick example:

import asyncio
from concurrently import concurrently


async def amain(loop):
    """
    How to fetch some web pages with concurrently.
    """
    urls = [  # define pages urls
        'http://test/page_1',
        'http://test/page_2',
        'http://test/page_3',
        'http://test/page_4',
    ]
    results = {}

    # immediately run wrapped function concurrent
    # in 2 thread (asyncio coroutines)
    @concurrently(2)
    async def fetch_urls():
        for url in urls:
            # some function for download page
            page = await fetch_page(url)
            results[url] = page

    # wait until all concurrent threads finished
    await fetch_urls()
    print(results)


if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    loop.run_until_complete(amain(loop))
Decorator @concurrently() makes to main thinks:
  • starts concurrent execution specified count of decorated function
  • returns special Waiter object to control the running functions

By default, the code runs as asyncio coroutines, but there are other supported ways to execute, by specifying the argument engine.