✏️ Editing: asynciothreadsafescheduler.py Read Only

import asyncio
import logging
from concurrent.futures import Future
from typing import List, Optional, TypeVar

from reactivex import abc, typing
from reactivex.disposable import (
    CompositeDisposable,
    Disposable,
    SingleAssignmentDisposable,
)

from .asyncioscheduler import AsyncIOScheduler

_TState = TypeVar("_TState")

log = logging.getLogger("Rx")

class AsyncIOThreadSafeScheduler(AsyncIOScheduler):
    """A scheduler that schedules work via the asyncio mainloop. This is a
    subclass of AsyncIOScheduler which uses the threadsafe asyncio methods.
    """

def schedule(
        self, action: typing.ScheduledAction[_TState], state: Optional[_TState] = None
    ) -> abc.DisposableBase:
        """Schedules an action to be executed.

Args:
            action: Action to be executed.
            state: [Optional] state to be given to the action function.

Returns:
            The disposable object used to cancel the scheduled action
            (best effort).
        """
        sad = SingleAssignmentDisposable()

def interval() -> None:
            sad.disposable = self.invoke_action(action, state=state)

handle = self._loop.call_soon_threadsafe(interval)

def dispose() -> None:
            if self._on_self_loop_or_not_running():
                handle.cancel()
                return

future: "Future[int]" = Future()

def cancel_handle() -> None:
                handle.cancel()
                future.set_result(0)

self._loop.call_soon_threadsafe(cancel_handle)
            future.result()

return CompositeDisposable(sad, Disposable(dispose))

def schedule_relative(
        self,
        duetime: typing.RelativeTime,
        action: typing.ScheduledAction[_TState],
        state: Optional[_TState] = None,
    ) -> abc.DisposableBase:
        """Schedules an action to be executed after duetime.

Args:
            duetime: Relative time after which to execute the action.
            action: Action to be executed.
            state: [Optional] state to be given to the action function.

Returns:
            The disposable object used to cancel the scheduled action
            (best effort).
        """
        seconds = self.to_seconds(duetime)
        if seconds <= 0:
            return self.schedule(action, state=state)

sad = SingleAssignmentDisposable()

def interval() -> None:
            sad.disposable = self.invoke_action(action, state=state)

# the operations on the list used here are atomic, so there is no
        # need to protect its access with a lock
        handle: List[asyncio.Handle] = []

def stage2() -> None:
            handle.append(self._loop.call_later(seconds, interval))

handle.append(self._loop.call_soon_threadsafe(stage2))

def dispose() -> None:
            def do_cancel_handles() -> None:
                try:
                    handle.pop().cancel()
                    handle.pop().cancel()
                except Exception:
                    pass

if self._on_self_loop_or_not_running():
                do_cancel_handles()
                return

future: "Future[int]" = Future()

def cancel_handle() -> None:
                do_cancel_handles()
                future.set_result(0)

self._loop.call_soon_threadsafe(cancel_handle)
            future.result()

return CompositeDisposable(sad, Disposable(dispose))

def schedule_absolute(
        self,
        duetime: typing.AbsoluteTime,
        action: typing.ScheduledAction[_TState],
        state: Optional[_TState] = None,
    ) -> abc.DisposableBase:
        """Schedules an action to be executed at duetime.

Args:
            duetime: Absolute time at which to execute the action.
            action: Action to be executed.
            state: [Optional] state to be given to the action function.

Returns:
            The disposable object used to cancel the scheduled action
            (best effort).
        """

duetime = self.to_datetime(duetime)
        return self.schedule_relative(duetime - self.now, action, state=state)

def _on_self_loop_or_not_running(self) -> bool:
        """
        Returns True if either self._loop is not running, or we're currently
        executing on self._loop. In both cases, waiting for a future to be
        resolved on the loop would result in a deadlock.
        """
        if not self._loop.is_running():
            return True
        current_loop = None
        try:
            # In python 3.7 there asyncio.get_running_loop() is prefered.
            current_loop = asyncio.get_event_loop()
        except RuntimeError:
            # If there is no loop in current thread at all, and it is not main
            # thread, we get error like:
            # RuntimeError: There is no current event loop in thread 'Thread-1'
            pass
        return self._loop == current_loop

🔐 Sid Gifari File Manager Pro