| Version: | 4.3.2 |
|---|---|
| Web: | http://fastasync.readthedocs.org/ |
| Download: | http://pypi.org/project/fastasync |
| Source: | http://github.com/99cloud/fastasync |
| Keywords: | async, service, framework, actors, bootsteps, graph |
FastAsync is a very minimal Python library built-on top of AsyncIO that makes it much easier to use.
In FastAsync your program is built out of services that you can start, stop, restart and supervise.
A service is just a class:
class PageViewCache(Service):
redis: Redis = None
async def on_start(self) -> None:
self.redis = connect_to_redis()
async def update(self, url: str, n: int = 1) -> int:
return await self.redis.incr(url, n)
async def get(self, url: str) -> int:
return await self.redis.get(url)
Services are started, stopped and restarted and have callbacks for those actions.
It can start another service:
class App(Service):
page_view_cache: PageViewCache = None
async def on_start(self) -> None:
await self.add_runtime_dependency(self.page_view_cache)
@cached_property
def page_view_cache(self) -> PageViewCache:
return PageViewCache()
It can include background tasks:
class PageViewCache(Service):
@Service.timer(1.0)
async def _update_cache(self) -> None:
self.data = await cache.get('key')
Services that depends on other services actually form a graph that you can visualize.
- Worker
FastAsync optionally provides a worker that you can use to start the program, with support for logging, blocking detection, remote debugging and more.
To start a worker add this to your program:
if __name__ == '__main__': from fastasync import Worker Worker(Service(), loglevel="info").execute_from_commandline()Then execute your program to start the worker:
$ python examples/tutorial.py [2018-03-27 15:47:12,159: INFO]: [^Worker]: Starting... [2018-03-27 15:47:12,160: INFO]: [^-AppService]: Starting... [2018-03-27 15:47:12,160: INFO]: [^--Websockets]: Starting... STARTING WEBSOCKET SERVER [2018-03-27 15:47:12,161: INFO]: [^--UserCache]: Starting... [2018-03-27 15:47:12,161: INFO]: [^--Webserver]: Starting... [2018-03-27 15:47:12,164: INFO]: [^--Webserver]: Serving on port 8000 REMOVING EXPIRED USERS REMOVING EXPIRED USERS
To stop it hit
Control-c:[2018-03-27 15:55:08,084: INFO]: [^Worker]: Stopping on signal received... [2018-03-27 15:55:08,084: INFO]: [^Worker]: Stopping... [2018-03-27 15:55:08,084: INFO]: [^-AppService]: Stopping... [2018-03-27 15:55:08,084: INFO]: [^--UserCache]: Stopping... REMOVING EXPIRED USERS [2018-03-27 15:55:08,085: INFO]: [^Worker]: Gathering service tasks... [2018-03-27 15:55:08,085: INFO]: [^--UserCache]: -Stopped! [2018-03-27 15:55:08,085: INFO]: [^--Webserver]: Stopping... [2018-03-27 15:55:08,085: INFO]: [^Worker]: Gathering all futures... [2018-03-27 15:55:08,085: INFO]: [^--Webserver]: Closing server [2018-03-27 15:55:08,086: INFO]: [^--Webserver]: Waiting for server to close handle [2018-03-27 15:55:08,086: INFO]: [^--Webserver]: Shutting down web application [2018-03-27 15:55:08,086: INFO]: [^--Webserver]: Waiting for handler to shut down [2018-03-27 15:55:08,086: INFO]: [^--Webserver]: Cleanup [2018-03-27 15:55:08,086: INFO]: [^--Webserver]: -Stopped! [2018-03-27 15:55:08,086: INFO]: [^--Websockets]: Stopping... [2018-03-27 15:55:08,086: INFO]: [^--Websockets]: -Stopped! [2018-03-27 15:55:08,087: INFO]: [^-AppService]: -Stopped! [2018-03-27 15:55:08,087: INFO]: [^Worker]: -Stopped!
- Beacons
The
beaconobject that we pass to services keeps track of the services in a graph.They are not stricly required, but can be used to visualize a running system, for example we can render it as a pretty graph.
This requires you to have the
pydotlibrary and GraphViz installed:$ pip install pydotLet's change the app service class to dump the graph to an image at startup:
class AppService(Service): async def on_start(self) -> None: print('APP STARTING') import pydot import io o = io.StringIO() beacon = self.app.beacon.root or self.app.beacon beacon.as_graph().to_dot(o) graph, = pydot.graph_from_dot_data(o.getvalue()) print('WRITING GRAPH TO image.png') with open('image.png', 'wb') as fh: fh.write(graph.create_png())
To define a service, simply subclass and fill in the methods to do stuff as the service is started/stopped etc.:
class MyService(Service):
async def on_start(self) -> None:
print('Im starting now')
async def on_started(self) -> None:
print('Im ready')
async def on_stop(self) -> None:
print('Im stopping now')
To start the service, call await service.start():
await service.start()
Or you can use fastasync.Worker (or a subclass of this) to start your
services-based asyncio program from the console:
if __name__ == '__main__':
import fastasync
worker = fastasync.Worker(
MyService(),
loglevel='INFO',
logfile=None,
daemon=False,
)
worker.execute_from_commandline()
Services can start other services, coroutines, and background tasks.
Starting other services using
add_depenency:class MyService(Service): def __post_init__(self) -> None: self.add_dependency(OtherService(loop=self.loop))Start a list of services using
on_init_dependencies:class MyService(Service): def on_init_dependencies(self) -> None: return [ ServiceA(loop=self.loop), ServiceB(loop=self.loop), ServiceC(loop=self.loop), ]Start a future/coroutine (that will be waited on to complete on stop):
class MyService(Service): async def on_start(self) -> None: self.add_future(self.my_coro()) async def my_coro(self) -> None: print('Executing coroutine')Start a background task:
class MyService(Service): @Service.task async def _my_coro(self) -> None: print('Executing coroutine')Start a background task that keeps running:
class MyService(Service): @Service.task async def _my_coro(self) -> None: while not self.should_stop: # NOTE: self.sleep will wait for one second, or # until service stopped/crashed. await self.sleep(1.0) print('Background thread waking up')
You can install FastAsync either via the Python Package Index (PyPI) or from source.
To install using pip:
$ pip install -U fastasync
Download the latest version of FastAsync from http://pypi.org/project/fastasync
You can install it by doing the following:
$ tar xvfz fastasync-0.0.0.tar.gz $ cd fastasync-0.0.0 $ python setup.py build # python setup.py install
The last command must be executed as a privileged user if you are not currently using a virtualenv.
You can install the latest snapshot of FastAsync using the following pip command:
$ pip install https://github.com/99cloud/fastasync/zipball/master#egg=fastasync
Yes! Use gevent/eventlet as a bridge to integrate with asyncio.
This works with any blocking Python library that can work with gevent.
Using gevent requires you to install the aiogevent module,
and you can install this as a bundle with FastAsync:
$ pip install -U fastasync[gevent]Then to actually use gevent as the event loop you have to execute the following in your entrypoint module (usually where you start the worker), before any other third party libraries are imported:
#!/usr/bin/env python3
import fastasync.loop
fastasync.loop.use('gevent')
# execute program
REMEMBER: This must be located at the very top of the module, in such a way that it executes before you import other libraries.
This works with any blocking Python library that can work with eventlet.
Using eventlet requires you to install the aioeventlet module,
and you can install this as a bundle with FastAsync:
$ pip install -U fastasync[eventlet]Then to actually use eventlet as the event loop you have to execute the following in your entrypoint module (usually where you start the worker), before any other third party libraries are imported:
#!/usr/bin/env python3
import fastasync.loop
fastasync.loop.use('eventlet')
# execute program
REMEMBER: It's very important this is at the very top of the module, and that it executes before you import libraries.
Yes! Use the tornado.platform.asyncio bridge:
http://www.tornadoweb.org/en/stable/asyncio.html
Yes! Use the asyncio reactor implementation: https://twistedmatrix.com/documents/17.1.0/api/twisted.internet.asyncioreactor.html
There are no immediate plans to support Python 3.5, but you are welcome to contribute to the project.
Here are some of the steps required to accomplish this:
Source code transformation to rewrite variable annotations to comments
for example, the code:
class Point: x: int = 0 y: int = 0 must be rewritten into:: class Point: x = 0 # type: int y = 0 # type: intSource code transformation to rewrite async functions
for example, the code:
async def foo(): await asyncio.sleep(1.0)must be rewritten into:
@coroutine def foo(): yield from asyncio.sleep(1.0)
There are no plans to support Python 2, but you are welcome to contribute to the project (details in question above is relevant also for Python 2).
If you get warnings such as this at shutdown:
Task was destroyed but it is pending!
task: <Task pending coro=<Service._execute_task() running at /opt/devel/fastasync/fastasync/services.py:643> wait_for=<Future pending cb=[<TaskWakeupMethWrapper object at 0x1100a7468>()]>>
Task was destroyed but it is pending!
task: <Task pending coro=<Service._execute_task() running at /opt/devel/fastasync/fastasync/services.py:643> wait_for=<Future pending cb=[<TaskWakeupMethWrapper object at 0x1100a72e8>()]>>
Task was destroyed but it is pending!
task: <Task pending coro=<Service._execute_task() running at /opt/devel/fastasync/fastasync/services.py:643> wait_for=<Future pending cb=[<TaskWakeupMethWrapper object at 0x1100a7678>()]>>
Task was destroyed but it is pending!
task: <Task pending coro=<Event.wait() running at /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/asyncio/locks.py:269> cb=[_release_waiter(<Future pendi...1100a7468>()]>)() at /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/asyncio/tasks.py:316]>
Task was destroyed but it is pending!
task: <Task pending coro=<Event.wait() running at /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/asyncio/locks.py:269> cb=[_release_waiter(<Future pendi...1100a7678>()]>)() at /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/asyncio/tasks.py:316]>
It usually means you forgot to stop a service before the process exited.
Everyone interacting in the project's codebases, issue trackers, chat rooms, and mailing lists is expected to follow the FastAsync Code of Conduct.
As contributors and maintainers of these projects, and in the interest of fostering an open and welcoming community, we pledge to respect all people who contribute through reporting issues, posting feature requests, updating documentation, submitting pull requests or patches, and other activities.
We are committed to making participation in these projects a harassment-free experience for everyone, regardless of level of experience, gender, gender identity and expression, sexual orientation, disability, personal appearance, body size, race, ethnicity, age, religion, or nationality.
Examples of unacceptable behavior by participants include:
- The use of sexualized language or imagery
- Personal attacks
- Trolling or insulting/derogatory comments
- Public or private harassment
- Publishing other's private information, such as physical or electronic addresses, without explicit permission
- Other unethical or unprofessional conduct.
Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct. By adopting this Code of Conduct, project maintainers commit themselves to fairly and consistently applying these principles to every aspect of managing this project. Project maintainers who do not follow or enforce the Code of Conduct may be permanently removed from the project team.
This code of conduct applies both within project spaces and in public spaces when an individual is representing the project or its community.
Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by opening an issue or contacting one or more of the project maintainers.
This Code of Conduct is adapted from the Contributor Covenant, version 1.2.0 available at http://contributor-covenant.org/version/1/2/0/.