paco 0.1.1

Small utility for asynchronous coroutines programming in Python +3.4.

Small utility library for generic coroutine-driven, asynchronous-oriented programming in Python +3.4.

Built on top of asyncio, paco provides missing capabilities from Python stdlib to write asynchronous cooperative multitasking in a nice-ish way + some convenient functional helpers.

Note: paco is still beta.

Features

• Simple and idiomatic API, extending Python stdlib with async coroutines gotchas.

• Built-in configurable control-flow concurrency support.

• Useful iterables, decorators and functors.

• Provides coroutine-ready compose, throttle, partial, until, race and other functional helpers.

• Asynchronous coroutine port of Python built-in functions: filter, map, dropwhile, filterfalse, reduce…

• Coroutines control flow and higher-order functions goodness.

• Better asyncio.gather() and asyncio.wait() implementations with optional concurrency control and ordered results.

• Good interoperability with asyncio and Python stdlib functions.

• Partially ports Python stdlib higher-order functions and iterables to be used in async coroutines world.

• Works with both async/await and yield from coroutines syntax.

• Small and dependency free.

• Compatible with Python +3.4.

Installation

Using pip package manager:

pip install paco

Or install the latest sources from Github:

pip install -e git+git://github.com/h2non/paco.git#egg=paco

API

• paco.run

• paco.partial

• paco.apply

• paco.constant

• paco.throttle

• paco.compose

• paco.wraps

• paco.once

• paco.times

• paco.defer

• paco.timeout

• paco.wait

• paco.gather

• paco.each

• paco.series

• paco.map

• paco.filter

• paco.reduce

• paco.some

• paco.every

• paco.filterfalse

• paco.dropwhile

• paco.repeat

• paco.until

• paco.whilst

• paco.race

• paco.ConcurrentExecutor

Examples

Asynchronously execute multiple HTTP requests concurrently.

import paco
import aiohttp
import asyncio

async def fetch(url):
    async with aiohttp.ClientSession() as session:
        async with session.get(url) as resp:
            return resp

async def fetch_urls():
    urls = [
        'https://www.google.com',
        'https://www.yahoo.com',
        'https://www.bing.com',
        'https://www.baidu.com',
        'https://duckduckgo.com',
    ]

    # Map concurrent executor with concurrent limit of 3
    responses = await paco.map(fetch, urls, limit=3)

    for res in responses:
        print('Status:', res.status)

loop = asyncio.get_event_loop()
loop.run_until_complete(fetch_urls())

License

MIT - Tomas Aparicio