Skip to main content

aiomisc - miscellaneous utils for asyncio

Project description

Coveralls Travis CI Latest Version https://img.shields.io/pypi/wheel/aiomisc.svg https://img.shields.io/pypi/pyversions/aiomisc.svg https://img.shields.io/pypi/l/aiomisc.svg

Miscellaneous utils for asyncio.

Installation

Installing from pypi:

pip3 install aiomisc

Installing from github.com:

pip3 install git+https://github.com/mosquito/aiomisc.git

Quick Start

Install event loop on the program starts.

import asyncio
from aiomisc.utils import new_event_loop


# Installing uvloop event loop
# and set `aiomisc.thread_pool.ThreadPoolExecutor`
# as default executor
new_event_loop()


async def main():
    await asyncio.sleep(3)


if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())

Close current event loop and install the new one:

import asyncio
from aiomisc.utils import new_event_loop


async def main():
    await asyncio.sleep(3)


if __name__ == '__main__':
    loop = new_event_loop()
    loop.run_until_complete(main())

threaded decorator

Wraps blocking function and run it on the thread pool.

import asyncio
import time
from aiomisc.utils import new_event_loop
from aiomisc.thread_pool import threaded


@threaded
def blocking_function():
    time.sleep(1)


async def main():
    # Running in parallel
    await asyncio.gather(
        blocking_function(),
        blocking_function(),
    )


if __name__ == '__main__':
    loop = new_event_loop()
    loop.run_until_complete(main())

Fast ThreadPoolExecutor

This is the simple thread pool implementation.

Installation as a default thread pool:

import asyncio
from aiomisc.thread_pool import ThreadPoolExecutor

loop = asyncio.get_event_loop()
thread_pool = ThreadPoolExecutor(4, loop=loop)
loop.set_default_executor(thread_pool)

Bind socket

from aiomisc.utils import bind_socket

# IPv4 socket
sock = bind_socket(address="127.0.0.1", port=1234)

# IPv6 socket (on Linux IPv4 socket will be bind too)
sock = bind_socket(address="::1", port=1234)

Periodic callback

Runs coroutine function periodically

import asyncio
import time
from aiomisc.utils import new_event_loop
from aiomisc.periodic import PeriodicCallback


async def periodic_function():
    print("Hello")


if __name__ == '__main__':
    loop = new_event_loop()

    periodic = PeriodicCallback(periodic_function)

    # Call it each second
    periodic.start(1)

    loop.run_forever()

Logging configuration

Setting up colorized logs:

import logging
from aiomisc.log import basic_config


# Configure logging
basic_config(level=logging.INFO, buffered=False, log_format='color')

Setting up json logs:

import logging
from aiomisc.log import basic_config


# Configure logging
basic_config(level=logging.INFO, buffered=False, log_format='json')

Buffered log handler

Parameter buffered=True enables memory buffer which flushing logs in thread.

import logging
from aiomisc.log import basic_config
from aiomisc.periodic import PeriodicCallback
from aiomisc.utils import new_event_loop


# Configure logging globally
basic_config(level=logging.INFO, buffered=False, log_format='json')

async def write_log(loop):
    logging.info("Hello %f", loop.time())

if __name__ == '__main__':
    loop = new_event_loop()

    # Configure
    basic_config(
        level=logging.INFO,
        buffered=True,
        log_format='color',
        flush_interval=2
    )

    periodic = PeriodicCallback(write_log, loop)
    periodic.start(0.3)

    loop.run_forever()

How to develop?

Should be installed:

  • virtualenv

  • GNU Make as make

  • Python 3.5+ as python3

For setting up developer environment just type:

make develop

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aiomisc-0.5.0.tar.gz (8.7 kB view details)

Uploaded Source

Built Distribution

aiomisc-0.5.0-py3-none-any.whl (13.3 kB view details)

Uploaded Python 3

File details

Details for the file aiomisc-0.5.0.tar.gz.

File metadata

  • Download URL: aiomisc-0.5.0.tar.gz
  • Upload date:
  • Size: 8.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/33.1.1 requests-toolbelt/0.8.0 tqdm/4.20.0 CPython/3.6.5

File hashes

Hashes for aiomisc-0.5.0.tar.gz
Algorithm Hash digest
SHA256 bdbedaf54bf92236252c31efcfe198b6044d0c908cc02adc4e265f059668f622
MD5 72268b98dc19798b91edd43a95aa2125
BLAKE2b-256 3f88478f6ec385af24213647f1488737ada205dcec4052b710cc9dcb1c5b4136

See more details on using hashes here.

File details

Details for the file aiomisc-0.5.0-py3-none-any.whl.

File metadata

  • Download URL: aiomisc-0.5.0-py3-none-any.whl
  • Upload date:
  • Size: 13.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/33.1.1 requests-toolbelt/0.8.0 tqdm/4.20.0 CPython/3.6.5

File hashes

Hashes for aiomisc-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 05f41c3259b2a0ea2748e95804d95ff2ce5d80d2fa3cb2e6d4a0503bf22da0d7
MD5 8a668a19fd0835edbfc9c3a06eb8a2f4
BLAKE2b-256 618f097c0220a52a21fdb44e1a57a3cb6fec5e3b9f8986324ec1e2cfcf65a5d3

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page