Files
micropython/ports/webassembly/asyncio/core.py
Damien George 13195a678d webassembly/asyncio: Schedule run loop when tasks are pushed to queue.
In the webassembly port there is no asyncio run loop running at the top
level.  Instead the Python asyncio run loop is scheduled through setTimeout
and run by the outer JavaScript event loop.  Because tasks can become
runable from an external (to Python) event (eg a JavaScript callback), the
run loop must be scheduled whenever a task is pushed to the asyncio task
queue, otherwise tasks may be waiting forever on the queue.

Signed-off-by: Damien George <damien@micropython.org>
2024-06-20 00:11:54 +10:00

259 lines
7.8 KiB
Python

# MicroPython asyncio module, for use with webassembly port
# MIT license; Copyright (c) 2019-2024 Damien P. George
from time import ticks_ms as ticks, ticks_diff, ticks_add
import sys, js, jsffi
# Import TaskQueue and Task from built-in C code.
from _asyncio import TaskQueue, Task
################################################################################
# Exceptions
class CancelledError(BaseException):
pass
class TimeoutError(Exception):
pass
# Used when calling Loop.call_exception_handler.
_exc_context = {"message": "Task exception wasn't retrieved", "exception": None, "future": None}
################################################################################
# Sleep functions
# "Yield" once, then raise StopIteration
class SingletonGenerator:
def __init__(self):
self.state = None
self.exc = StopIteration()
def __iter__(self):
return self
def __next__(self):
if self.state is not None:
_task_queue.push(cur_task, self.state)
self.state = None
return None
else:
self.exc.__traceback__ = None
raise self.exc
# Pause task execution for the given time (integer in milliseconds, uPy extension)
# Use a SingletonGenerator to do it without allocating on the heap
def sleep_ms(t, sgen=SingletonGenerator()):
assert sgen.state is None
sgen.state = ticks_add(ticks(), max(0, t))
return sgen
# Pause task execution for the given time (in seconds)
def sleep(t):
return sleep_ms(int(t * 1000))
################################################################################
# Main run loop
asyncio_timer = None
class TopLevelCoro:
@staticmethod
def set(resolve, reject):
TopLevelCoro.resolve = resolve
TopLevelCoro.reject = reject
@staticmethod
def send(value):
TopLevelCoro.resolve()
class ThenableEvent:
def __init__(self, thenable):
self.result = None # Result of the thenable
self.waiting = None # Task waiting on completion of this thenable
thenable.then(self.set)
def set(self, value=None):
# Thenable/Promise is fulfilled, set result and schedule any waiting task.
self.result = value
if self.waiting:
_task_queue.push(self.waiting)
self.waiting = None
def remove(self, task):
self.waiting = None
# async
def wait(self):
# Set the calling task as the task waiting on this thenable.
self.waiting = cur_task
# Set calling task's data to this object so it can be removed if needed.
cur_task.data = self
# Wait for the thenable to fulfill.
yield
# Return the result of the thenable.
return self.result
# Ensure the awaitable is a task
def _promote_to_task(aw):
return aw if isinstance(aw, Task) else create_task(aw)
def _schedule_run_iter(dt):
global asyncio_timer
if asyncio_timer is not None:
js.clearTimeout(asyncio_timer)
asyncio_timer = js.setTimeout(_run_iter, dt)
def _run_iter():
global cur_task
excs_all = (CancelledError, Exception) # To prevent heap allocation in loop
excs_stop = (CancelledError, StopIteration) # To prevent heap allocation in loop
while True:
# Wait until the head of _task_queue is ready to run
t = _task_queue.peek()
if t:
# A task waiting on _task_queue; "ph_key" is time to schedule task at
dt = max(0, ticks_diff(t.ph_key, ticks()))
else:
# No tasks can be woken so finished running
cur_task = _top_level_task
return
if dt > 0:
# schedule to call again later
cur_task = _top_level_task
_schedule_run_iter(dt)
return
# Get next task to run and continue it
t = _task_queue.pop()
cur_task = t
try:
# Continue running the coroutine, it's responsible for rescheduling itself
exc = t.data
if not exc:
t.coro.send(None)
else:
# If the task is finished and on the run queue and gets here, then it
# had an exception and was not await'ed on. Throwing into it now will
# raise StopIteration and the code below will catch this and run the
# call_exception_handler function.
t.data = None
t.coro.throw(exc)
except excs_all as er:
# Check the task is not on any event queue
assert t.data is None
# This task is done.
if t.state:
# Task was running but is now finished.
waiting = False
if t.state is True:
# "None" indicates that the task is complete and not await'ed on (yet).
t.state = None
elif callable(t.state):
# The task has a callback registered to be called on completion.
t.state(t, er)
t.state = False
waiting = True
else:
# Schedule any other tasks waiting on the completion of this task.
while t.state.peek():
_task_queue.push(t.state.pop())
waiting = True
# "False" indicates that the task is complete and has been await'ed on.
t.state = False
if not waiting and not isinstance(er, excs_stop):
# An exception ended this detached task, so queue it for later
# execution to handle the uncaught exception if no other task retrieves
# the exception in the meantime (this is handled by Task.throw).
_task_queue.push(t)
# Save return value of coro to pass up to caller.
t.data = er
elif t.state is None:
# Task is already finished and nothing await'ed on the task,
# so call the exception handler.
# Save exception raised by the coro for later use.
t.data = exc
# Create exception context and call the exception handler.
_exc_context["exception"] = exc
_exc_context["future"] = t
Loop.call_exception_handler(_exc_context)
# Create and schedule a new task from a coroutine.
def create_task(coro):
if not hasattr(coro, "send"):
raise TypeError("coroutine expected")
t = Task(coro, globals())
_task_queue.push(t)
return t
# Task used to suspend and resume top-level await.
_top_level_task = Task(TopLevelCoro, globals())
################################################################################
# Event loop wrapper
cur_task = _top_level_task
class Loop:
_exc_handler = None
def create_task(coro):
return create_task(coro)
def close():
pass
def set_exception_handler(handler):
Loop._exc_handler = handler
def get_exception_handler():
return Loop._exc_handler
def default_exception_handler(loop, context):
print(context["message"], file=sys.stderr)
print("future:", context["future"], "coro=", context["future"].coro, file=sys.stderr)
sys.print_exception(context["exception"], sys.stderr)
def call_exception_handler(context):
(Loop._exc_handler or Loop.default_exception_handler)(Loop, context)
def get_event_loop():
return Loop
def current_task():
if cur_task is None:
raise RuntimeError("no running event loop")
return cur_task
def new_event_loop():
global _task_queue
_task_queue = TaskQueue(_schedule_run_iter) # TaskQueue of Task instances.
return Loop
# Initialise default event loop.
new_event_loop()