Async library for Kivy
Project description
AsyncKivy
asynckivy
is an async library that saves you from ugly callback-based code,
like most of async libraries do.
Let's say you want to do:
print('A')
- wait for 1sec
print('B')
- wait for a button to be pressed
print('C')
in that order. Your code would look like this:
from kivy.clock import Clock
def what_you_want_to_do(button):
print('A')
def one_sec_later(__):
print('B')
button.bind(on_press=on_button_press)
Clock.schedule_once(one_sec_later, 1)
def on_button_press(button):
button.unbind(on_press=on_button_press)
print('C')
It's not easy to understand.
If you use asynckivy
, the above code will become:
import asynckivy as ak
async def what_you_want_to_do(button):
print('A')
await ak.sleep(1)
print('B')
await ak.event(button, 'on_press')
print('C')
Installation
It's recommended to pin the minor version, because if it changed, it means some important breaking changes occurred.
poetry add asynckivy@~0.5
pip install "asynckivy>=0.5,<0.6"
Usage
import asynckivy as ak
async def some_task(button):
# wait for 1sec
dt = await ak.sleep(1)
print(f'{dt} seconds have passed')
# wait until a button is pressed
await ak.event(button, 'on_press')
# wait until 'button.x' changes
__, x = await ak.event(button, 'x')
print(f'button.x is now {x}')
# wait until 'button.x' becomes greater than 100
if button.x <= 100:
__, x = await ak.event(button, 'x', filter=lambda __, x: x>100)
print(f'button.x is now {x}')
# wait until EITHER a button is pressed OR 5sec passes.
# i.e. wait at most 5 seconds for a button to be pressed
tasks = await ak.or_(
ak.event(button, 'on_press'),
ak.sleep(5),
)
print("The button was pressed" if tasks[0].done else "Timeout")
# wait until a button is pressed AND 5sec passes.
tasks = await ak.and_(
ak.event(button, 'on_press'),
ak.sleep(5),
)
# nest as you want.
# wait for a button to be pressed AND (5sec OR 'other_async_func' to complete)
tasks = await ak.and_(
ak.event(button, 'on_press'),
ak.or_(
ak.sleep(5),
other_async_func(),
),
)
child_tasks = tasks[1].result
print("5sec passed" if child_tasks[0].done else "other_async_func has completed")
ak.start(some_task(some_button))
animation
from types import SimpleNamespace
import asynckivy as ak
async def async_func(widget1, widget2):
obj = SimpleNamespace(attr1=10, attr2=[20, 30, ], attr3={'key': 40, })
# Animate attibutes of any object and wait for it to end.
await ak.animate(obj, attr1=200, attr2=[200, 100], attr3={'key': 400})
# Interpolate between two values in an async-manner.
async for v in ak.interpolate(0, 200):
print(v)
# await something # DO NOT await anything during this loop
# fade-out widgets, excute the with-block, fade-in widgets.
async with ak.fade_transition(widget1, widget2):
widget.text = 'new text'
widget2.y = 200
# If you want more low-level control over animations, use the vanim module.
# Read the module doc for details.
from asynckivy import vanim
async for dt in vanim.delta_time():
...
touch handling
You can easily handle on_touch_xxx
events via asynckivy.rest_of_touch_moves()
.
class TouchReceiver(Widget):
def on_touch_down(self, touch):
if self.collide_point(*touch.opos):
ak.start(self.handle_touch(touch))
return True
async def handle_touch(self, touch):
print('on_touch_up')
async for __ in ak.rest_of_touch_moves(self, touch):
# await something # DO NOT await anything during this loop
print('on_touch_move')
print('on_touch_up')
If Kivy is running in asyncio/trio mode, rest_of_touch_moves()
might not work.
In that case, use watch_touch()
.
import asynckivy as ak
class TouchReceiver(Widget):
def on_touch_down(self, touch):
if self.collide_point(*touch.opos):
ak.start(self.handle_touch(touch))
return True
async def handle_touch(self, touch):
print('on_touch_up')
async with ak.watch_watch(widget, touch) as is_touch_move:
# DO NOT await anything inside this with-block except the return value of 'is_touch_move()'.
while await is_touch_move():
print('on_touch_move')
print('on_touch_up')
threading
asynckivy
does not have any I/O primitives like Trio and asyncio do,
thus threads are the only way to perform them without blocking the main-thread:
from concurrent.futures import ThreadPoolExecuter
import asynckivy as ak
executer = ThreadPoolExecuter()
def thread_blocking_operation():
'''This function is called from outside the main-thread, so you are not allowed to touch gui components here.'''
async def some_task():
# create a new thread, run a function inside it, then
# wait for the completion of that thread
r = await ak.run_in_thread(thread_blocking_operation)
print("return value:", r)
# run a function inside a ThreadPoolExecuter, and wait for the completion
# (ProcessPoolExecuter is not supported)
r = await ak.run_in_executer(executer, thread_blocking_operation)
print("return value:", r)
Exceptions(not BaseExceptions) are propagated to the caller so you can catch them like you do in synchronous code:
import requests
import asynckivy as ak
async def some_task(label):
try:
response = await ak.run_in_thread(lambda: requests.get('htt...', timeout=10))
except requests.Timeout:
label.text = "TIMEOUT!"
else:
label.text = "RECEIVED: " + response.text
synchronizing and communicating between tasks
There is a trio.Event equivalent.
import asynckivy as ak
async def task_A(e):
print('A1')
await e.wait()
print('A2')
async def task_B(e):
print('B1')
await e.wait()
print('B2')
e = ak.Event()
ak.start(task_A(e))
# A1
ak.start(task_B(e))
# B1
e.set()
# A2
# B2
Unlike Trio's and asyncio's, when you call Event.set()
,
the tasks waiting for it to happen will immediately be resumed.
As a result, e.set()
will return after A2
and B2
are printed.
And there is an asyncio.Queue equivalent.
from kivy.app import App
import asynckivy as ak
from asynckivy.queue import Queue
async def producer(q, items):
for i in items:
await q.put(i)
q.close()
async def consumer(q):
assert ''.join([item async for item in q]) == 'ABCD' # Queue is async-iterable
async def consumer2(q):
'''The ``consumer()`` above can be written in more primitive way like this'''
items = []
try:
while True:
items.append(await q.get())
except ak.EndOfResource:
assert ''.join(items) == 'ABCD'
q = Queue()
ak.start(producer(q, 'ABCD'))
ak.start(consumer(q))
App().run() # Queue relies on Clock so you need to run the event-loop
dealing with cancellations
asynckivy.start()
returns a Task
,
which can be used to cancel the execution.
task = asynckivy.start(async_func())
...
task.cancel()
When .cancel()
is called, GeneratorExit
will occur inside the task,
which means you can prepare for cancellations as follows:
async def async_func():
try:
...
except GeneratorExit:
print('cancelled')
raise # You must re-raise !!
finally:
print('cleanup resources here')
You are not allowed to await
inside except-GeneratorExit-clause
and finally-clause
if you want the task to be cancellable
because cancellations always must be done immediately.
async def async_func():
try:
await something # <-- ALLOWED
except Exception:
await something # <-- ALLOWED
except GeneratorExit:
await something # <-- NOT ALLOWED
raise
finally:
await something # <-- NOT ALLOWED
You are allowed to await
inside finally-clause
if the task will never get cancelled.
async def async_func(): # Assuming this never gets cancelled
try:
await something # <-- ALLOWED
except Exception:
await something # <-- ALLOWED
finally:
await something # <-- ALLOWED
As long as you follow the above rules, you can cancel tasks as you wish.
But note that if there are lots of explicit calls to Task.cancel()
in your code,
it's a sign of your code being not well-structured.
You can usually avoid it by using asynckivy.and_()
and asynckivy.or_()
.
misc
import asynckivy as ak
# schedule an awaitable/Task to start after the next frame
ak.start_soon(awaitable_or_task)
Notes
Places you cannot await
I already mentioned about this but I'll say again.
You cannot await while iterating rest_of_touch_moves()
or interpolate()
.
import asynckivy as ak
async def async_fn():
async for v in ak.interpolate(...):
await something # <-- NOT ALLOWED
async for __ in ak.rest_of_touch_moves(...):
await something # <-- NOT ALLOWED
Some of features might not work if Kivy is running in asyncio/trio mode
asyncio
and trio
do some hacky stuff, sys.set_asyncgen_hooks()
and sys.get_asyncgen_hooks
,
which likely hinders asynckivy-flavored async generators.
You can see its details here.
Because of that, the features that create async generators might not work perfectly. Here is a list of them:
rest_of_touch_moves()
- the entire
vanim
module fade_transition()
I don't know how to make it work. Maybe if PEP355 is accepted, it might work.
Structured Concurrency
(This section is incomplete, and will be filled some day.)
asynckivy.and_()
and asynckivy.or_()
follow the concept of structured concurrency.
import asynckivy as ak
async def root():
await ak.or_(child1(), child2())
async def child1():
...
async def child2():
await ak.and_(ground_child1(), ground_child2())
async def ground_child1():
...
async def ground_child2():
...
flowchart TB
root --> C1(child 1) & C2(child 2)
C2 --> GC1(ground child 1) & GC2(ground child 2)
Tested on
- CPython 3.7 + Kivy 2.1.0
- CPython 3.8 + Kivy 2.1.0
- CPython 3.9 + Kivy 2.1.0
- CPython 3.10 + Kivy 2.1.0
Why this even exists
Kivy supports two legit async libraries, asyncio and Trio, from version 2.0.0 so developing another one seems reinventing the wheel. Actually, I started this one just for learning how async/await works so it was initially "reinventing the wheel".
But after playing with Trio and Kivy for a while, I noticed that Trio is not suitable for the situation where fast reactions are required e.g. touch events.
The same is true of asyncio.
You can confirm it by running investigation/why_xxx_is_not_suitable_for_handling_touch_events.py
, and mashing a mouse button.
You'll see sometimes up
is not paired with down
.
You'll see the coordinates aren't relative to the RelativeLayout
even though the target
belongs to it.
The cause of those problems is that trio.Event.set()
and asyncio.Event.set()
don't immediately resume the tasks waiting for the Event
to be set. They just schedule the tasks to resume.
Same thing can be said to nursery.start_soon()
and asyncio.create_task()
.
Trio and asyncio are async I/O libraries after all. They probably don't have to immediately resumes/starts tasks, which I think necessary for Kivy's touch handling.
(If a touch is not handled immediately, its coordinate's origin may change, its pos
might be updated and the previous value will be lost.)
Their core design might not be suitable for GUI in the first place.
That's why I'm still developing this asynckivy
library to this day.
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