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Functional interface for concurrent futures, including asynchronous I/O.

Project description

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Futured provides a simple consistent interface for concurrent functional programming in Python. It can wrap any callable to return concurrent.futures.Future objects, and it can wrap any async coroutine to return asyncio.Future objects.

Usage

Transform any callable into one which runs in a thread or process pool, and returns a future.

from futured import threaded, processed
import requests

fetch = threaded(requests.Session().get)
fetch(url)  # returns Future

fs = (fetch(url + path) for path in paths)
fetch.results(fs)  # generates results in order
fetch.results(fs, timeout=None)  # generates results as completed

fetch.map(urls)  # generates results in order
fetch.map(urls, timeout=None)  # generates results as completed

Naturally futured wrappers can be used as decorators, but arguments can also be partially bound.

@threaded
def slow():
   ...

fetch = threaded(requests.Session().get, url)
fetch(params=...)

Methods are supported.

class FutureSession(requests.Session):
   request = threaded(requests.Session.request)

As well as a decorated utility for automatically subclassing.

from futured import decorated

FutureSession = decorated(requests.Session, request=threaded)

Thread and process pool executors can also be customized and reused.

threaded(max_workers=...)(func, ...)
processed(max_workers=...)(func, ...)

The same interface works for aynscio. For convenience, there’s also a synchronous run method.

from futured import asynced
import aiohttp

fetch = asynced(aiohttp.ClientSession().get)
fetch.map(urls, timeout=...)  # generates results as described above
fetch.run(url)  # single synchronous call

command wraps subprocess.Popen to provide a Future compatible interface.

from futured import futured, command

command('ls').result()  # returns stdout or raises stderr
command('ls').pipe('wc')  # pipes into next command
for line in command('ls'):  # iterable lines

futured(command, 'ls')

forked allows iteration in separate child processes.

from futured import forked

for value in forked(values):
   # in a child process
# in parent after children have exited

Installation

$ pip install futured

Dependencies

  • Python 3.5+

Tests

100% branch coverage.

$ pytest [--cov]

Project details


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