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())

entrypoint

Running and graceful shutdown multiple services in one process.

import asyncio
from aiomisc.entrypoint import entrypoint
from aiomisc.service import Service, TCPServer, UDPServer


class LoggingService(Service):
    async def start(self):
        while True:
            print('Hello from service', self.name)
            await asyncio.sleep(1)


class EchoServer(TCPServer):
    async def handle_client(self, reader: asyncio.StreamReader,
                            writer: asyncio.StreamWriter):
        while True:
            writer.write(await reader.readline())


class UDPPrinter(UDPServer):
    async def handle_datagram(self, data: bytes, addr):
        print(addr, '->', data)


services = (
    LoggingService(name='#1'),
    EchoServer(address='::1', port=8901),
    UDPPrinter(address='::1', port=3000),
)


with entrypoint(*services) as loop:
    loop.run_forever()

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-0.5.1.tar.gz (9.2 kB view details)

Uploaded Source

Built Distribution

aiomisc-0.5.1-py3-none-any.whl (13.6 kB view details)

Uploaded Python 3

File details

Details for the file aiomisc-0.5.1.tar.gz.

File metadata

  • Download URL: aiomisc-0.5.1.tar.gz
  • Upload date:
  • Size: 9.2 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-0.5.1.tar.gz
Algorithm Hash digest
SHA256 efdbe640ac01d7c77cb89a6e18edb010a6b572d7626f6728854ac3b478b714de
MD5 f297105a676494db9c9e7c930c1ac7e0
BLAKE2b-256 5ba753b45598850363693a4f842cd879cb0a14e189e7ce52ccb2500cd0868277

See more details on using hashes here.

File details

Details for the file aiomisc-0.5.1-py3-none-any.whl.

File metadata

  • Download URL: aiomisc-0.5.1-py3-none-any.whl
  • Upload date:
  • Size: 13.6 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-0.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 e350021a2ace9ecff318d9bfe08aaca5938583c5125820ea3407a2386b3030f7
MD5 b7fef4eca330d07028f0ca9a7d3ce330
BLAKE2b-256 38570aff42198581c475d47b4cd520ff7344424f84361bd9d2c596756f37d062

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