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

200
12
Python

paco |PyPI| |Coverage Status| |Documentation Status| |Stability| |Quality| |Versions|

Small and idiomatic utility library for coroutine-driven asynchronous generic programming in Python.

Built on top of asyncio, paco provides missing capabilities from Python stdlib
in order to write asynchronous cooperative multitasking in a nice-ish way.
Also, paco aims to port some of functools
and itertools_ standard functions to the asynchronous world.

paco can be your utility belt to deal with asynchronous, I/O-bound, non-blocking concurrent code in a cleaner and idiomatic way.

Features

  • Simple and idiomatic API, extending Python stdlib with async coroutines gotchas.
  • Built-in configurable control-flow concurrency support (throttle).
  • No fancy abstractions: it just works with the plain asynchronous coroutines.
  • Useful iterables, decorators, functors and convenient helpers.
  • Coroutine-based functional helpers: compose, throttle, partial, timeout, times, until, race
  • Asynchronous coroutines port of Python built-in functions: filter, map, dropwhile, filterfalse, reduce
  • Supports asynchronous iterables and generators (PEP0525_)
  • Concurrent iterables and higher-order functions.
  • Better asyncio.gather() and asyncio.wait() with optional concurrency control and ordered results.
  • Works with both async/await_ and yield from_ coroutines syntax.
  • Reliable coroutine timeout limit handler via context manager.
  • Designed for intensive I/O bound concurrent non-blocking tasks.
  • Good interoperability with asyncio and Python stdlib functions.
  • Composable pipelines_ of functors via | operator overloading.
  • Small and dependency free.
  • Compatible with Python +3.4.

Installation

Using pip package manager:

… code-block:: bash

pip install --upgrade paco

Or install the latest sources from Github:

… code-block:: bash

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

API

  • paco.ConcurrentExecutor_
  • paco.apply_
  • paco.compose_
  • paco.concurrent_
  • paco.constant_
  • paco.curry_
  • paco.defer_
  • paco.dropwhile_
  • paco.each_
  • paco.every_
  • paco.filter_
  • paco.filterfalse_
  • paco.flat_map_
  • paco.gather_
  • paco.identity_
  • paco.interval_
  • paco.map_
  • paco.once_
  • paco.partial_
  • paco.race_
  • paco.reduce_
  • paco.repeat_
  • paco.run_
  • paco.series_
  • paco.some_
  • paco.throttle_
  • paco.thunk_
  • paco.timeout_
  • paco.TimeoutLimit_
  • paco.times_
  • paco.until_
  • paco.wait_
  • paco.whilst_
  • paco.wraps_

… _paco.ConcurrentExecutor: http://paco.readthedocs.io/en/latest/api.html#paco.ConcurrentExecutor
… _paco.apply: http://paco.readthedocs.io/en/latest/api.html#paco.apply
… _paco.compose: http://paco.readthedocs.io/en/latest/api.html#paco.compose
… _paco.concurrent: http://paco.readthedocs.io/en/latest/api.html#paco.concurrent
… _paco.constant: http://paco.readthedocs.io/en/latest/api.html#paco.constant
… _paco.curry: http://paco.readthedocs.io/en/latest/api.html#paco.curry
… _paco.defer: http://paco.readthedocs.io/en/latest/api.html#paco.defer
… _paco.dropwhile: http://paco.readthedocs.io/en/latest/api.html#paco.dropwhile
… _paco.each: http://paco.readthedocs.io/en/latest/api.html#paco.each
… _paco.every: http://paco.readthedocs.io/en/latest/api.html#paco.every
… _paco.filter: http://paco.readthedocs.io/en/latest/api.html#paco.filter
… _paco.filterfalse: http://paco.readthedocs.io/en/latest/api.html#paco.filterfalse
… _paco.flat_map: http://paco.readthedocs.io/en/latest/api.html#paco.flat_map
… _paco.gather: http://paco.readthedocs.io/en/latest/api.html#paco.gather
… _paco.identity: http://paco.readthedocs.io/en/latest/api.html#paco.identity
… _paco.interval: http://paco.readthedocs.io/en/latest/api.html#paco.interval
… _paco.map: http://paco.readthedocs.io/en/latest/api.html#paco.map
… _paco.once: http://paco.readthedocs.io/en/latest/api.html#paco.once
… _paco.partial: http://paco.readthedocs.io/en/latest/api.html#paco.partial
… _paco.race: http://paco.readthedocs.io/en/latest/api.html#paco.race
… _paco.reduce: http://paco.readthedocs.io/en/latest/api.html#paco.reduce
… _paco.repeat: http://paco.readthedocs.io/en/latest/api.html#paco.repeat
… _paco.run: http://paco.readthedocs.io/en/latest/api.html#paco.run
… _paco.series: http://paco.readthedocs.io/en/latest/api.html#paco.series
… _paco.some: http://paco.readthedocs.io/en/latest/api.html#paco.some
… _paco.throttle: http://paco.readthedocs.io/en/latest/api.html#paco.throttle
… _paco.thunk: http://paco.readthedocs.io/en/latest/api.html#paco.thunk
… _paco.timeout: http://paco.readthedocs.io/en/latest/api.html#paco.timeout
… _paco.TimeoutLimit: http://paco.readthedocs.io/en/latest/api.html#paco.TimeoutLimit
… _paco.times: http://paco.readthedocs.io/en/latest/api.html#paco.times
… _paco.until: http://paco.readthedocs.io/en/latest/api.html#paco.until
… _paco.wait: http://paco.readthedocs.io/en/latest/api.html#paco.wait
… _paco.whilst: http://paco.readthedocs.io/en/latest/api.html#paco.whilst
… _paco.wraps: http://paco.readthedocs.io/en/latest/api.html#paco.wraps

Examples
^^^^^^^^

Asynchronously and concurrently execute multiple HTTP requests.

… code-block:: python

import paco
import aiohttp

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

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)

# Run in event loop
paco.run(fetch_urls())

Concurrent pipeline-style composition of transform functors over an iterable object.

… code-block:: python

import paco

async def filterer(x):
    return x < 8

async def mapper(x):
    return x * 2

async def drop(x):
    return x < 10

async def reducer(acc, x):
    return acc + x

async def task(numbers):
    return await (numbers
                   | paco.filter(filterer)
                   | paco.map(mapper)
                   | paco.dropwhile(drop)
                   | paco.reduce(reducer, initializer=0))

# Run in event loop
number = paco.run(task((1, 2, 3, 4, 5, 6, 7, 8, 9, 10)))
print('Number:', number) # => 36

License

MIT - Tomas Aparicio

… _asynchronous: http://python.org
… _asyncio: https://docs.python.org/3.5/library/asyncio.html
… _Python: http://python.org
… _annotated API reference: https://h2non.github.io/paco
… _async/await: https://www.python.org/dev/peps/pep-0492/
… _yield from: https://www.python.org/dev/peps/pep-0380/
… _Composable pipelines: #examples
… _itertools: https://docs.python.org/3/library/itertools.html
… _functools: https://docs.python.org/3/library/functools.html
… _PEP0525: https://www.python.org/dev/peps/pep-0525/

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