aiomisc - miscellaneous utils for asyncio
Project description
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
Built Distribution
File details
Details for the file aiomisc-0.4.0.tar.gz
.
File metadata
- Download URL: aiomisc-0.4.0.tar.gz
- Upload date:
- Size: 5.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1dcb925eca4282b0acf87a24174f1b7925092f79aa3dee2383bb54551d3e8d6b |
|
MD5 | 122ec0e69dc150093f97e40b6b66c645 |
|
BLAKE2b-256 | 5cc09f13b62b9e67d1485f66ec751fda70be3ecd7170f6d021a8c53c8475a970 |
Provenance
File details
Details for the file aiomisc-0.4.0-py3-none-any.whl
.
File metadata
- Download URL: aiomisc-0.4.0-py3-none-any.whl
- Upload date:
- Size: 10.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b5d8a1c6df1636c62fe65cfbf46b951a04bd0523aac39ef306c2e28a4cd3082c |
|
MD5 | 41059ac7018414f69286c3d29ffd6c47 |
|
BLAKE2b-256 | 6ac5552ef52ef56ec73e6f80fedeb543d7ab17f9d1a4f35d00174eda18b40eb4 |