How to do some work before async task finish? - python

I am new to study about asyncio.I don't know how to
describe my question.But here is a minimal example:
import asyncio
async def work():
await asyncio.sleep(3)
async def check_it():
task = asyncio.create_task(work())
await task
while True:
if task.done():
print("Done")
break
print("Trying...")
asyncio.run(check_it())
My idea is very simple:
create a async task in check_it().And await it.
Use a while loop to check whether the task is finished.
If task.done() return True,break the while loop.Then exit the script.
If my question is duplicate, please flag my question.Thanks!

Try asyncio.wait or use asyncio.sleep. Otherwise, your program will output a lot without some pauses.
import asyncio
async def work():
await asyncio.sleep(3)
async def check_it():
task = asyncio.create_task(work())
# "await" block until the task finish. Do not do here.
timeout = 0 # Probably the first timeout is 0
while True:
done, pending = await asyncio.wait({task}, timeout=timeout)
if task in done:
print('Done')
# Do an await here is favourable in case any exception is raised.
await task
break
print('Trying...')
timeout = 1
asyncio.run(check_it())

Related

await vs asyncio.sleep: Does await keyword return control to the loop? Or maybe Pythons's asyncio StreamReader.read() is blocking?

I encountered a strange situation. StreamReader in asyncio seems to be blocking.
received = asyncio.Queue()
async def read_loop():
while True:
received_data = await reader.read(4096)
await received.put(received_data)
Then when I do
task = asyncio.create_task(read_loop())
# some time later....
task.cancel()
The task won't get cancelled. However, when I add one single line to this function:
async def read_loop():
while True:
asyncio.sleep(0) # THIS LINE
received_data = await reader.read(4096)
await received.put(received_data)
Everything is working and the task gets cancelled.
It's like the await before reader.read doesn't return control to the event loop. I thought both await and asyncio.sleep return control to the event loop.
I want to understand why adding the sleeping function helped. I'd be grateful for help.

How to nest asyncio tasks in groups and sub groups?

I want to create multiple nested asyncio task groups. I don't want to use trio nursery also subtasks may contain async generators. However, I am encountering some problems:
Exiting with keyboard interrupt causes could not close task as event loop in closed
Sometimes tasks get cancelled and program gets stuck but this rarely happens
I want to make sure they everything is properly close as I am working with files and sockets
How can I fix those problems?
import asyncio
from asyncio.tasks import Task
from contextlib import AsyncExitStack
from os import error
async def cancel_tasks(tasks: set):
task: Task
for task in tasks:
await task.cancel()
async def demo_producer(queue: asyncio.Queue):
while True:
await queue.put()
async def demo_consumer(queue: asyncio.Queue):
while True:
await queue.get()
async def demo_task():
while True:
await asyncio.sleep(2) # Do Something
async def demo_task_grp(qns_queue: asyncio.Queue, ans_queue: asyncio.Queue):
async with AsyncExitStack() as stack:
tasks = set()
stack.push_async_callback(cancel_tasks, tasks)
task = asyncio.create_task(demo_producer(qns_queue))
tasks.add(task)
task = asyncio.create_task(demo_consumer(ans_queue))
tasks.add(task)
task = asyncio.create_task(demo_task())
tasks.add(task)
asyncio.gather(*tasks)
async def question_func(qns_queue: asyncio.Queue, ans_queue: asyncio.Queue):
while True:
try:
await demo_task_grp(qns_queue, ans_queue)
except error:
print(error)
finally:
await asyncio.sleep(2) # retry
async def answer_func(qns_queue: asyncio.Queue, ans_queue: asyncio.Queue):
while True:
try:
await demo_task_grp(qns_queue, ans_queue)
except error:
print(error)
finally:
await asyncio.sleep(2) # retry
async def main():
# await mqtt_setup()
# asyncio.ensure_future(mqtt_setup())
async with AsyncExitStack() as stack:
question_queue = asyncio.Queue()
answer_queue = asyncio.Queue()
tasks = set()
stack.push_async_callback(cancel_tasks, tasks)
task = asyncio.create_task(question_func(question_queue, answer_queue))
tasks.add(task)
task = asyncio.create_task(answer_func(question_queue, answer_queue))
tasks.add(task)
asyncio.gather(*tasks)
asyncio.run(main())

How does await works in a for-loop?

I just watch a async/await tutorial video on youtube.
To my understanding of await, if await is in a task, when execute the task it would turn back to the event-loop while it encounter the await inside of the task.
So if await inside a for loop(that's say 10 loops), the task would be paused for 10 times, and I should use 10 await in the event-loop in order to finished the task, like this:
import asyncio
async def print_numbers():
for i in range(10):
print(i)
await asyncio.sleep(0.25)
async def main():
task2 = asyncio.create_task(print_numbers())
for i in range(10):
await task2
asyncio.run(main())
But, in fact the task can be done by using only 1 await, like this:
async def print_numbers():
for i in range(10):
print(i)
await asyncio.sleep(0.25)
async def main():
task2 = asyncio.create_task(print_numbers())
await task2
asyncio.run(main()
What do I missing in this topic?
it would turn back to the event-loop while it encounter the await inside of the task
It does, but you wait for task[0] to finish before you start task[1], so there is simply no other task in the event loop to do. So your code just ends up sleeping and doing nothing
and I should use 10 await in the event-loop in order to finished the task
Yes you will need to await the 10 tasks you started, so your code will only continue once all 10 tasks are done. But you should use asyncio.wait or asyncio.gather so the individual tasks can be parallelized and don't have to wait for the previous one to finish.
import asyncio
import random
async def print_number(i):
print(i, 'start')
await asyncio.sleep(random.random())
print(i, 'done')
async def main():
await asyncio.wait([
asyncio.create_task(print_number(i))
for i in range(10)
])
print('main done')
asyncio.run(main())

python Make an async timer without waiting to finish

I want to make a timer which is started in a normal function, but in the timer function, it should be able to call an async function
I want to do something like this:
startTimer()
while True:
print("e")
def startTimer(waitForSeconds: int):
# Wait for `waitForSeconds`
await myAsyncFunc()
async def myAsyncFunc():
print("in my async func")
Where the while True loop should do its stuff and after waitForSeconds the timer the async function should execute an other async function, but waiting shouldn't block any other actions and doesn't need to be awaited
If something isn't understandable, I'm sorry, I'll try to explain it then
Thanks
If you want to run your synchronous and asynchronous code in parallel, you will need to run one of them in a separate thread. For example:
def sync_code():
while True:
print("e")
async def start_timer(secs):
await asyncio.sleep(secs)
await async_func()
async def main():
asyncio.create_task(start_timer(1))
loop = asyncio.get_event_loop()
# use run_in_executor to run sync code in a separate thread
# while this thread runs the event loop
await loop.run_in_executor(None, sync_code)
asyncio.run(main())
If the above is not acceptable for you (e.g. because it turns the whole program into an asyncio program), you can also run the event loop in a background thread, and submit tasks to it using asyncio.run_coroutine_threadsafe. That approach would allow startTimer to have the signature (and interface) like you wanted it:
def startTimer(waitForSeconds):
loop = asyncio.new_event_loop()
threading.Thread(daemon=True, target=loop.run_forever).start()
async def sleep_and_run():
await asyncio.sleep(waitForSeconds)
await myAsyncFunc()
asyncio.run_coroutine_threadsafe(sleep_and_run(), loop)
async def myAsyncFunc():
print("in my async func")
startTimer(1)
while True:
print("e")
I'm pretty sure that you are familiar with concurent processing, but you didn't show exactly what you want. So if I understand you correctly you want to have 2 processes. First is doing only while True, and the second process is the timer(waits e.g. 5s) and it will call async task. I assume that you are using asyncio according to tags:
import asyncio
async def myAsyncFunc():
print("in my async func")
async def call_after(delay):
await asyncio.sleep(delay)
await myAsyncFunc()
async def while_true():
while True:
await asyncio.sleep(1) # sleep here to avoid to large output
print("e")
async def main():
task1 = asyncio.create_task(
while_true())
task2 = asyncio.create_task(
call_after(5))
# Wait until both tasks are completed (should take
# around 2 seconds.)
await task1
await task2
asyncio.run(main())

asyncio task cancel. Is is synchronous?

I understand that task.cancel() arranges an exception to be thrown inside the task function. Is that happen in a synchronous way? (As I don't await task.cancel()). Can code that follows the line task.cancel() assume that the task will no longer run?
A simple example:
async def task1():
await asyncio.sleep(3)
print("after sleep")
async def task2():
t = loop.create_task(task1())
await asyncio.sleep(1)
t.cancel()
# can the following code lines assume that task1 is no longer running?
loop = asyncio.get_event_loop()
loop.run_forever()
Can code that follows the line task.cancel() assume that the task will
no longer run?
No. task.cancel() only marks task to be cancelled later. You should explicitly await task after it and catch CancelledError to be sure task is cancelled.
See example here.

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