asyncio
example#
From IPython≥7.0 you can use asyncio
directly in Jupyter Notebooks, see also IPython 7.0, Async REPL.
If you get RuntimeError: This event loop is already running
, [nest-asyncio] might help you.
Ihr könnt das Paket installieren mit
$ pipenv install nest-asyncio
You can then import it into your notebook and use it with:
[1]:
import nest_asyncio
nest_asyncio.apply()
See also
asyncio: We Did It Wrong by Lynn Root
An Intro to asyncio by Mike Driscoll
Asyncio Coroutine Patterns: Beyond await by Yeray Diaz
Simple Hello world example#
[2]:
import asyncio
async def hello():
print("Hello")
await asyncio.sleep(1)
print("world")
await hello()
Hello
world
A little bit closer to a real world example#
[3]:
import asyncio
import random
async def produce(queue, n):
for x in range(1, n + 1):
# produce an item
print("producing {}/{}".format(x, n))
# simulate i/o operation using sleep
await asyncio.sleep(random.random())
item = str(x)
# put the item in the queue
await queue.put(item)
# indicate the producer is done
await queue.put(None)
async def consume(queue):
while True:
# wait for an item from the producer
item = await queue.get()
if item is None:
# the producer emits None to indicate that it is done
break
# process the item
print("consuming {}".format(item))
# simulate i/o operation using sleep
await asyncio.sleep(random.random())
loop = asyncio.get_event_loop()
queue = asyncio.Queue()
asyncio.ensure_future(produce(queue, 10), loop=loop)
loop.run_until_complete(consume(queue))
producing 1/10
producing 2/10
consuming 1
producing 3/10
consuming 2
producing 4/10
consuming 3
producing 5/10
consuming 4
producing 6/10
consuming 5
producing 7/10
consuming 6
producing 8/10
consuming 7
producing 9/10
consuming 8
producing 10/10
consuming 9
consuming 10
Exception Handling#
See also
[4]:
def main():
loop = asyncio.get_event_loop()
# May want to catch other signals too
signals = (signal.SIGHUP, signal.SIGTERM, signal.SIGINT)
for s in signals:
loop.add_signal_handler(
s, lambda s=s: asyncio.create_task(shutdown(loop, signal=s))
)
loop.set_exception_handler(handle_exception)
queue = asyncio.Queue()
Testing with pytest
#
Example:#
[5]:
import pytest
@pytest.mark.asyncio
async def test_consume(mock_get, mock_queue, message, create_mock_coro):
mock_get.side_effect = [message, Exception("break while loop")]
with pytest.raises(Exception, match="break while loop"):
await consume(mock_queue)
Third-party libraries#
pytest-asyncio has helpfull things like fixtures for
event_loop
,unused_tcp_port
, andunused_tcp_port_factory
; and the ability to create your own asynchronous fixtures.asynctest has helpful tooling, including coroutine mocks and exhaust_callbacks so we don’t have to manually await tasks.
aiohttp has some really nice built-in test utilities.
Debugging#
asyncio
already has a debug mode in the standard library. You can simply activate it with the PYTHONASYNCIODEBUG
environment variable or in the code with loop.set_debug(True)
.
Using the debug mode to identify slow async calls#
asyncio
’s debug mode has a tiny built-in profiler. When debug mode is on, asyncio
will log any asynchronous calls that take longer than 100 milliseconds.
Debugging in oroduction with aiodebug
#
aiodebug is a tiny library for monitoring and testing asyncio programs.
Example#
[6]:
from aiodebug import log_slow_callbacks
def main():
loop = asyncio.get_event_loop()
log_slow_callbacks.enable(0.05)
Logging#
aiologger allows non-blocking logging.
Asynchronous Widgets#
See also
[7]:
def wait_for_change(widget, value):
future = asyncio.Future()
def getvalue(change):
# make the new value available
future.set_result(change.new)
widget.unobserve(getvalue, value)
widget.observe(getvalue, value)
return future
[8]:
from ipywidgets import IntSlider
slider = IntSlider()
async def f():
for i in range(10):
print("did work %s" % i)
x = await wait_for_change(slider, "value")
print("async function continued with value %s" % x)
asyncio.ensure_future(f())
slider
did work 0