Desenvolvendo com asyncio¶
Asynchronous programming is different from classic “sequential” programming.
This page lists common mistakes and traps and explains how to avoid them.
Modo de Depuração¶
By default asyncio runs in production mode. In order to ease the development asyncio has a debug mode.
There are several ways to enable asyncio debug mode:
PYTHONASYNCIODEBUGenvironment variable to
Usando o Modo de Desenvolvimento do Python.
Além de habilitar o modo de depuração, considere também:
setting the log level of the asyncio logger to
logging.DEBUG, for example the following snippet of code can be run at startup of the application:
Quando o modo de depuração está habilitado:
asyncio checks for coroutines that were not awaited and logs them; this mitigates the “forgotten await” pitfall.
O tempo de execução de um seletor de E/S é registrado se demorar muito para executar a operação E/S.
Funções de retorno demorando mais do que 100 milissegundos são registradas. O atributo
loop.slow_callback_durationpode ser usado para definir a duração de execução mínima em segundos para se considerada “devagar”.
Concorrência e Múltiplas Threads¶
An event loop runs in a thread (typically the main thread) and executes
all callbacks and Tasks in its thread. While a Task is running in the
event loop, no other Tasks can run in the same thread. When a Task
await expression, the running Task gets suspended, and
the event loop executes the next Task.
Almost all asyncio objects are not thread safe, which is typically
not a problem unless there is code that works with them from outside
of a Task or a callback. If there’s a need for such code to call a
low-level asyncio API, the
should be used, e.g.:
async def coro_func(): return await asyncio.sleep(1, 42) # Later in another OS thread: future = asyncio.run_coroutine_threadsafe(coro_func(), loop) # Wait for the result: result = future.result()
Para tratar sinais e executar subprocessos, o laço de eventos precisa executar na thread principal.
loop.run_in_executor() method can be used with a
concurrent.futures.ThreadPoolExecutor to execute
blocking code in a different OS thread without blocking the OS thread
that the event loop runs in.
There is currently no way to schedule coroutines or callbacks directly
from a different process (such as one started with
multiprocessing). The Métodos do laço de eventos
section lists APIs that can read from pipes and watch file descriptors
without blocking the event loop. In addition, asyncio’s
Subprocess APIs provide a way to start a
process and communicate with it from the event loop. Lastly, the
loop.run_in_executor() method can also be used
concurrent.futures.ProcessPoolExecutor to execute
code in a different process.
Executando código bloqueante¶
Blocking (CPU-bound) code should not be called directly. For example, if a function performs a CPU-intensive calculation for 1 second, all concurrent asyncio Tasks and IO operations would be delayed by 1 second.
An executor can be used to run a task in a different thread or even in
a different process to avoid blocking the OS thread with the
event loop. See the
loop.run_in_executor() method for more
asyncio usa o módulo
logging e todo registro é feito via o registrador
O nível de log padrão é
logging.INFO, mas pode ser facilmente ajustado:
Network logging can block the event loop. It is recommended to use a separate thread for handling logs or use non-blocking IO. For example, see Dealing with handlers that block.
Detect never-awaited coroutines¶
import asyncio async def test(): print("never scheduled") async def main(): test() asyncio.run(main())
test.py:7: RuntimeWarning: coroutine 'test' was never awaited test()
Output in debug mode:
test.py:7: RuntimeWarning: coroutine 'test' was never awaited Coroutine created at (most recent call last) File "../t.py", line 9, in <module> asyncio.run(main(), debug=True) < .. > File "../t.py", line 7, in main test() test()
The usual fix is to either await the coroutine or call the
async def main(): await test()
Detect never-retrieved exceptions¶
Future.set_exception() is called but the Future object is
never awaited on, the exception would never be propagated to the
user code. In this case, asyncio would emit a log message when the
Future object is garbage collected.
Exemplo de uma exceção não tratada:
import asyncio async def bug(): raise Exception("not consumed") async def main(): asyncio.create_task(bug()) asyncio.run(main())
Task exception was never retrieved future: <Task finished coro=<bug() done, defined at test.py:3> exception=Exception('not consumed')> Traceback (most recent call last): File "test.py", line 4, in bug raise Exception("not consumed") Exception: not consumed
Enable the debug mode to get the traceback where the task was created:
Output in debug mode:
Task exception was never retrieved future: <Task finished coro=<bug() done, defined at test.py:3> exception=Exception('not consumed') created at asyncio/tasks.py:321> source_traceback: Object created at (most recent call last): File "../t.py", line 9, in <module> asyncio.run(main(), debug=True) < .. > Traceback (most recent call last): File "../t.py", line 4, in bug raise Exception("not consumed") Exception: not consumed