Asyncio integration with sync code using greenlets.
Project description
greenletio
This project allows synchronous and asynchronous functions to be used together.
Unlike other methods based on executors and thread or process pools,
greenletio
allows synchronous functions to work like their asynchronous
counterparts, without the need to create expensive threads or processes.
Quick start
Installation
This package is installed with pip
:
$ pip install greenletio
async_
The async_
function makes a synchronous function awaitable.
import asyncio
from greenletio import async_
def sync_function(arg):
pass
async def async_function():
await async_(sync_function)(42)
asyncio.run(async_function())
This function can also be used as a decorator:
import asyncio
from greenletio import async_
@async_
def sync_function(arg):
pass
async def async_function():
await sync_function(42)
asyncio.run(async_function())
await_
The await_
function can be used to await an asynchronous function in a
synchronous one without blocking the asyncio loop:
from greenletio import await_
async def async_function():
pass
def sync_function():
await_(async_function())
Sometimes it is more convenient to use await_
as a decorator to make an
asynchronous function callable from synchronous code (once again, without
blocking the loop):
from greenletio import await_
@await_
async def async_function():
pass
def sync_function():
async_function()
Note that synchronous functions used in asynchronous applications must follow the rules that apply to asynchronous functions with regards to not calling any blocking code.
spawn
The spawn
function launches a synchronous Python function asynchronously as
a greenlet. The new greenlet (and any function called from it) can use the
await_
function.
green.*
The modules under greenletio.green
are drop-in replacements of the Python
standard library modules of the same name, implemented using the async_
,
await_
and spawn
primitives.
The goal is to provide replacements for all the blocking functions in the standard library, so that code written as blocking can be used asynchronously.
Currently implemented modules are socket
, ssl
, threading
, and
time
.
patch_blocking
The patch_blocking
context manager can be used to import code written for
the Python standard library with all the blocking functions redirected to
their green.*
replacements.
patch_psycopg2
The patch_psycopg2
function configures psycopg2 to access Postgres database
in non-blocking mode.
Why?
Porting an application to asyncio is in general very complicated, as it requires a large portion of the codebase to be converted due to the "virality" of asynchronous code, which requires that only an asynchronous function call another asynchronous function.
This package provides a solution to allow synchronous and asynchronous code to call each other without blocking the asynchronous loop.
How is this possible?
greenletio
combines asynchronous functions with
greenlets to achieve what is not
possible using standalone Python.
Greenlets provide a way to context-switch or "jump" from the middle of a running function into another, and later resume the first at the place it was interrupted.
This opens the possibility for a synchronous function to "escape" a blocking wait by context-switching into an asynchronous function that releases the CPU back to the loop. The interrupted function would only be resumed once the blocking condition is resolved.
Previous work
The idea for greenletio
originated in a
proof-of-concept gist
by Mike Bayer that used greenlets to prevent synchronous code from blocking.
The intent was to use this technique to allow SQLAlchemy to work in
asynchronous applications.
Since Mike's code became public we learned of another project combining coroutines and greenlets with the same goal called greenback, by Joshua Oreman.
The overall design of greenletio
is based on eventlet.
Project details
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