aiomisc - miscellaneous utils for asyncio
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Miscellaneous utils for asyncio.
As a programmer, you are no stranger to the challenges that come with building
and maintaining software applications. One area that can be particularly
difficult is making architecture of the software that using asynchronous I/O.
This is where aiomisc comes in. aiomisc is a Python library that provides a
collection of utility functions and classes for working with asynchronous I/O
in a more intuitive and efficient way. It is built on top of the asyncio
library and is designed to make it easier for developers to write
asynchronous code that is both reliable and scalable.
With aiomisc, you can take advantage of powerful features like
worker pools, connection pools, circuit breaker pattern,
and retry mechanisms such as asyncbackoff and asyncretry to make your
asyncio code more robust and easier to maintain. In this documentation,
we’ll take a closer look at what aiomisc has to offer and how it can
help you streamline your asyncio service development.
Installation is possible in standard ways, such as PyPI or installation from
a git repository directly.
Installing from PyPI_:
… code-block:: bash
pip3 install aiomisc
Installing from github.com:
… code-block:: bash
# Using git tool
pip3 install git+https://github.com/aiokitchen/aiomisc.git
# Alternative way using http
pip3 install \
https://github.com/aiokitchen/aiomisc/archive/refs/heads/master.zip
The package contains several extras and you can install additional dependencies
if you specify them in this way.
With uvloop_:
… code-block:: bash
pip3 install "aiomisc[uvloop]"
With aiohttp_:
… code-block:: bash
pip3 install "aiomisc[aiohttp]"
Complete table of extras bellow:
±----------------------------------±-----------------------------------------------+
| example | description |
+=+==============+
| pip install aiomisc[aiohttp] | For running aiohttp_ applications. |
±----------------------------------±-----------------------------------------------+
| pip install aiomisc[asgi] | For running ASGI_ applications |
±----------------------------------±-----------------------------------------------+
| pip install aiomisc[carbon] | Sending metrics to carbon_ (part of graphite_) |
±----------------------------------±-----------------------------------------------+
| pip install aiomisc[cron] | use croniter_ for scheduling tasks |
±----------------------------------±-----------------------------------------------+
| pip install aiomisc[raven] | Sending exceptions to sentry_ using raven_ |
±----------------------------------±-----------------------------------------------+
| pip install aiomisc[rich] | You might using rich_ for logging |
±----------------------------------±-----------------------------------------------+
| pip install aiomisc[uvicorn] | For running ASGI_ application using uvicorn_ |
±----------------------------------±-----------------------------------------------+
| pip install aiomisc[uvloop] | use uvloop_ as a default event loop |
±----------------------------------±-----------------------------------------------+
… _ASGI: https://asgi.readthedocs.io/en/latest/
… _PyPI: https://pypi.org/
… _aiohttp: https://pypi.org/project/aiohttp
… _carbon: https://pypi.org/project/carbon
… _croniter: https://pypi.org/project/croniter
… _graphite: http://graphiteapp.org
… _raven: https://pypi.org/project/raven
… _rich: https://pypi.org/project/rich
… _sentry: https://sentry.io/
… _uvloop: https://pypi.org/project/uvloop
… _uvicorn: https://pypi.org/project/uvicorn
You can combine extras values by separating them with commas, for example:
… code-block:: bash
pip3 install "aiomisc[aiohttp,cron,rich,uvloop]"
This section will cover how this library creates and uses the event loop and
creates services. Of course, you can’t write about everything here, but you
can read about a lot in the Tutorial_ section, and you can
always refer to the Modules_ and API reference_ sections for help.
Event-loop and entrypoint
+++++++++++++++++++++++++
Let’s look at this simple example first:
… code-block:: python
import asyncio
import logging
import aiomisc
log = logging.getLogger(__name__)
async def main():
log.info('Starting')
await asyncio.sleep(3)
log.info('Exiting')
if __name__ == '__main__':
with aiomisc.entrypoint(log_level="info", log_format="color") as loop:
loop.run_until_complete(main())
This code declares an asynchronous main() function that exits after
3 seconds. It would seem nothing interesting, but the whole point is in
the entrypoint.
What does the entrypoint do, it would seem not so much, it creates an
event-loop and transfers control to the user. However, under the hood, the
logger is configured in a separate thread, a pool of threads is created,
services are started, but more on that later and there are no services
in this example.
Alternatively, you can choose not to use an entrypoint, just create an
event-loop and set this as a default event loop for current thread:
… code-block:: python
:name: test_index_get_loop
import asyncio
import aiomisc
# * Installs uvloop event loop is it's has been installed.
# * Creates and set `aiomisc.thread_pool.ThreadPoolExecutor`
# as a default executor
# * Sets just created event-loop as a current event-loop for this thread.
aiomisc.new_event_loop()
async def main():
await asyncio.sleep(1)
if __name__ == '__main__':
loop = asyncio.get_event_loop()
loop.run_until_complete(main())
The example above is useful if your code is already using an implicitly created
event loop, you will have to modify less code, just add
aiomisc.new_event_loop() and all calls to asyncio.get_event_loop()
will return the created instance.
However, you can do with one call. Following example closes implicitly created
asyncio event loop and install a new one:
… code-block:: python
:name: test_index_new_loop
import asyncio
import aiomisc
async def main():
await asyncio.sleep(3)
if __name__ == '__main__':
loop = aiomisc.new_event_loop()
loop.run_until_complete(main())
Services
++++++++
The main thing that an entrypoint does is start and gracefully
stop services.
The service concept within this library means a class derived from
the aiosmic.Service class and implementing the
async def start(self) -> None: method and optionally the
async def stop(self, exc: Optional[ Exception]) -> None method.
The concept of stopping a service is not necessarily is pressing Ctrl+C
keys by user, it’s actually just exiting the entrypoint context manager.
The example below shows what your service might look like:
… code-block:: python
from aiomisc import entrypoint, Service
class MyService(Service):
async def start(self):
do_something_when_start()
async def stop(self, exc):
do_graceful_shutdown()
with entrypoint(MyService()) as loop:
loop.run_forever()
The entry point can start as many instances of the service as it likes,
and all of them will start concurrently.
There is also a way if the start method is a payload for a service,
and then there is no need to implement the stop method, since the running
task with the start function will be canceled at the stop stage.
But in this case, you will have to notify the entrypoint that the
initialization of the service instance is complete and it can continue.
Like this:
… code-block:: python
import asyncio
from threading import Event
from aiomisc import entrypoint, Service
event = Event()
class MyService(Service):
async def start(self):
# Send signal to entrypoint for continue running
self.start_event.set()
await asyncio.sleep(3600)
with entrypoint(MyService()) as loop:
assert event.is_set()
… note::
The ``entrypoint`` passes control to the body of the context manager only
after all service instances have started. As mentioned above, a start is
considered to be the completion of the ``start`` method or the setting of
an start event with ``self.start_event.set()``.
The whole power of this library is in the set of already implemented or
abstract services.
Such as: AIOHTTPService, ASGIService, TCPServer,
UDPServer, TCPClient, PeriodicService, CronService and so on.
Unfortunately in this section it is not possible to pay more attention to this,
please pay attention to the Tutorial_ section section, there are more
examples and explanations, and of cource you always can find out an answer on
the /api/index or in the source code. The authors have tried to make
the source code as clear and simple as possible, so feel free to explore it.
This software follows Semantic Versioning_
Summary: it’s given a version number MAJOR.MINOR.PATCH, increment the:
In this case, the package version is assigned automatically with poem-plugins_,
it using on the tag in the repository as a major and minor and the counter,
which takes the number of commits between tag to the head of branch.
… _poem-plugins: https://pypi.org/project/poem-plugins
Summary: it’s given a version number MAJOR.MINOR.PATCH, increment the:
In this case, the package version is assigned automatically with poem-plugins_,
it using on the tag in the repository as a major and minor and the counter,
which takes the number of commits between tag to the head of branch.
… _poem-plugins: https://pypi.org/project/poem-plugins
This project, like most open source projects, is developed by enthusiasts,
you can join the development, submit issues, or send your merge requests.
In order to start developing in this repository, you need to do the
following things.
Should be installed:
python3poetry… _Poetry: https://python-poetry.org/docs/
For setting up developer environment just execute:
.. code-block::
# installing all dependencies
poetry install
# setting up pre-commit hooks
poetry run pre-commit install
# adding poem-plugins to the poetry
poetry self add poem-plugins
… _Semantic Versioning: http://semver.org/
… _API reference: https://aiomisc.readthedocs.io/en/latest/api/index.html
… _Modules: https://aiomisc.readthedocs.io/en/latest/modules.html
… _Tutorial: https://aiomisc.readthedocs.io/en/latest/tutorial.html