533 lines
20 KiB
Python
533 lines
20 KiB
Python
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import asyncio
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import asyncio.coroutines
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import contextvars
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import functools
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import inspect
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import os
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import sys
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import threading
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import warnings
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import weakref
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from concurrent.futures import Future, ThreadPoolExecutor
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from typing import Any, Callable, Dict, Optional, overload
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from .current_thread_executor import CurrentThreadExecutor
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from .local import Local
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def _restore_context(context):
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# Check for changes in contextvars, and set them to the current
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# context for downstream consumers
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for cvar in context:
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try:
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if cvar.get() != context.get(cvar):
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cvar.set(context.get(cvar))
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except LookupError:
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cvar.set(context.get(cvar))
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def _iscoroutinefunction_or_partial(func: Any) -> bool:
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# Python < 3.8 does not correctly determine partially wrapped
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# coroutine functions are coroutine functions, hence the need for
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# this to exist. Code taken from CPython.
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if sys.version_info >= (3, 8):
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return asyncio.iscoroutinefunction(func)
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else:
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while inspect.ismethod(func):
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func = func.__func__
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while isinstance(func, functools.partial):
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func = func.func
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return asyncio.iscoroutinefunction(func)
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class ThreadSensitiveContext:
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"""Async context manager to manage context for thread sensitive mode
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This context manager controls which thread pool executor is used when in
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thread sensitive mode. By default, a single thread pool executor is shared
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within a process.
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In Python 3.7+, the ThreadSensitiveContext() context manager may be used to
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specify a thread pool per context.
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This context manager is re-entrant, so only the outer-most call to
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ThreadSensitiveContext will set the context.
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Usage:
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>>> import time
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>>> async with ThreadSensitiveContext():
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... await sync_to_async(time.sleep, 1)()
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"""
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def __init__(self):
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self.token = None
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async def __aenter__(self):
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try:
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SyncToAsync.thread_sensitive_context.get()
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except LookupError:
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self.token = SyncToAsync.thread_sensitive_context.set(self)
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return self
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async def __aexit__(self, exc, value, tb):
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if not self.token:
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return
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executor = SyncToAsync.context_to_thread_executor.pop(self, None)
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if executor:
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executor.shutdown()
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SyncToAsync.thread_sensitive_context.reset(self.token)
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class AsyncToSync:
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"""
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Utility class which turns an awaitable that only works on the thread with
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the event loop into a synchronous callable that works in a subthread.
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If the call stack contains an async loop, the code runs there.
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Otherwise, the code runs in a new loop in a new thread.
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Either way, this thread then pauses and waits to run any thread_sensitive
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code called from further down the call stack using SyncToAsync, before
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finally exiting once the async task returns.
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"""
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# Maps launched Tasks to the threads that launched them (for locals impl)
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launch_map: "Dict[asyncio.Task[object], threading.Thread]" = {}
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# Keeps track of which CurrentThreadExecutor to use. This uses an asgiref
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# Local, not a threadlocal, so that tasks can work out what their parent used.
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executors = Local()
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# When we can't find a CurrentThreadExecutor from the context, such as
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# inside create_task, we'll look it up here from the running event loop.
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loop_thread_executors: "Dict[asyncio.AbstractEventLoop, CurrentThreadExecutor]" = {}
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def __init__(self, awaitable, force_new_loop=False):
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if not callable(awaitable) or (
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not _iscoroutinefunction_or_partial(awaitable)
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and not _iscoroutinefunction_or_partial(
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getattr(awaitable, "__call__", awaitable)
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)
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):
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# Python does not have very reliable detection of async functions
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# (lots of false negatives) so this is just a warning.
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warnings.warn(
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"async_to_sync was passed a non-async-marked callable", stacklevel=2
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)
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self.awaitable = awaitable
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try:
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self.__self__ = self.awaitable.__self__
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except AttributeError:
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pass
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if force_new_loop:
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# They have asked that we always run in a new sub-loop.
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self.main_event_loop = None
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else:
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try:
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self.main_event_loop = asyncio.get_running_loop()
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except RuntimeError:
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# There's no event loop in this thread. Look for the threadlocal if
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# we're inside SyncToAsync
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main_event_loop_pid = getattr(
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SyncToAsync.threadlocal, "main_event_loop_pid", None
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)
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# We make sure the parent loop is from the same process - if
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# they've forked, this is not going to be valid any more (#194)
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if main_event_loop_pid and main_event_loop_pid == os.getpid():
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self.main_event_loop = getattr(
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SyncToAsync.threadlocal, "main_event_loop", None
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)
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else:
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self.main_event_loop = None
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def __call__(self, *args, **kwargs):
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# You can't call AsyncToSync from a thread with a running event loop
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try:
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event_loop = asyncio.get_running_loop()
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except RuntimeError:
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pass
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else:
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if event_loop.is_running():
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raise RuntimeError(
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"You cannot use AsyncToSync in the same thread as an async event loop - "
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"just await the async function directly."
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)
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# Wrapping context in list so it can be reassigned from within
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# `main_wrap`.
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context = [contextvars.copy_context()]
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# Make a future for the return information
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call_result = Future()
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# Get the source thread
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source_thread = threading.current_thread()
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# Make a CurrentThreadExecutor we'll use to idle in this thread - we
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# need one for every sync frame, even if there's one above us in the
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# same thread.
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if hasattr(self.executors, "current"):
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old_current_executor = self.executors.current
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else:
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old_current_executor = None
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current_executor = CurrentThreadExecutor()
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self.executors.current = current_executor
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loop = None
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# Use call_soon_threadsafe to schedule a synchronous callback on the
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# main event loop's thread if it's there, otherwise make a new loop
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# in this thread.
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try:
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awaitable = self.main_wrap(
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args, kwargs, call_result, source_thread, sys.exc_info(), context
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)
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if not (self.main_event_loop and self.main_event_loop.is_running()):
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# Make our own event loop - in a new thread - and run inside that.
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loop = asyncio.new_event_loop()
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self.loop_thread_executors[loop] = current_executor
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loop_executor = ThreadPoolExecutor(max_workers=1)
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loop_future = loop_executor.submit(
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self._run_event_loop, loop, awaitable
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)
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if current_executor:
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# Run the CurrentThreadExecutor until the future is done
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current_executor.run_until_future(loop_future)
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# Wait for future and/or allow for exception propagation
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loop_future.result()
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else:
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# Call it inside the existing loop
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self.main_event_loop.call_soon_threadsafe(
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self.main_event_loop.create_task, awaitable
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)
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if current_executor:
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# Run the CurrentThreadExecutor until the future is done
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current_executor.run_until_future(call_result)
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finally:
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# Clean up any executor we were running
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if loop is not None:
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del self.loop_thread_executors[loop]
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if hasattr(self.executors, "current"):
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del self.executors.current
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if old_current_executor:
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self.executors.current = old_current_executor
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_restore_context(context[0])
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# Wait for results from the future.
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return call_result.result()
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def _run_event_loop(self, loop, coro):
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"""
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Runs the given event loop (designed to be called in a thread).
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"""
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asyncio.set_event_loop(loop)
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try:
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loop.run_until_complete(coro)
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finally:
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try:
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# mimic asyncio.run() behavior
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# cancel unexhausted async generators
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tasks = asyncio.all_tasks(loop)
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for task in tasks:
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task.cancel()
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async def gather():
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await asyncio.gather(*tasks, return_exceptions=True)
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loop.run_until_complete(gather())
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for task in tasks:
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if task.cancelled():
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continue
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if task.exception() is not None:
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loop.call_exception_handler(
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{
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"message": "unhandled exception during loop shutdown",
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"exception": task.exception(),
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"task": task,
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}
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)
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if hasattr(loop, "shutdown_asyncgens"):
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loop.run_until_complete(loop.shutdown_asyncgens())
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finally:
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loop.close()
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asyncio.set_event_loop(self.main_event_loop)
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def __get__(self, parent, objtype):
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"""
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Include self for methods
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"""
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func = functools.partial(self.__call__, parent)
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return functools.update_wrapper(func, self.awaitable)
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async def main_wrap(
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self, args, kwargs, call_result, source_thread, exc_info, context
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):
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"""
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Wraps the awaitable with something that puts the result into the
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result/exception future.
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"""
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if context is not None:
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_restore_context(context[0])
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current_task = SyncToAsync.get_current_task()
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self.launch_map[current_task] = source_thread
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try:
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# If we have an exception, run the function inside the except block
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# after raising it so exc_info is correctly populated.
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if exc_info[1]:
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try:
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raise exc_info[1]
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except BaseException:
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result = await self.awaitable(*args, **kwargs)
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else:
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result = await self.awaitable(*args, **kwargs)
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except BaseException as e:
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call_result.set_exception(e)
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else:
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call_result.set_result(result)
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finally:
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del self.launch_map[current_task]
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context[0] = contextvars.copy_context()
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class SyncToAsync:
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"""
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Utility class which turns a synchronous callable into an awaitable that
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runs in a threadpool. It also sets a threadlocal inside the thread so
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calls to AsyncToSync can escape it.
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If thread_sensitive is passed, the code will run in the same thread as any
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outer code. This is needed for underlying Python code that is not
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threadsafe (for example, code which handles SQLite database connections).
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If the outermost program is async (i.e. SyncToAsync is outermost), then
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this will be a dedicated single sub-thread that all sync code runs in,
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one after the other. If the outermost program is sync (i.e. AsyncToSync is
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outermost), this will just be the main thread. This is achieved by idling
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with a CurrentThreadExecutor while AsyncToSync is blocking its sync parent,
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rather than just blocking.
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If executor is passed in, that will be used instead of the loop's default executor.
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In order to pass in an executor, thread_sensitive must be set to False, otherwise
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a TypeError will be raised.
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"""
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# If they've set ASGI_THREADS, update the default asyncio executor for now
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if "ASGI_THREADS" in os.environ:
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# We use get_event_loop here - not get_running_loop - as this will
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# be run at import time, and we want to update the main thread's loop.
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loop = asyncio.get_event_loop()
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loop.set_default_executor(
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ThreadPoolExecutor(max_workers=int(os.environ["ASGI_THREADS"]))
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)
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# Maps launched threads to the coroutines that spawned them
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launch_map: "Dict[threading.Thread, asyncio.Task[object]]" = {}
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# Storage for main event loop references
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threadlocal = threading.local()
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# Single-thread executor for thread-sensitive code
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single_thread_executor = ThreadPoolExecutor(max_workers=1)
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# Maintain a contextvar for the current execution context. Optionally used
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# for thread sensitive mode.
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thread_sensitive_context: "contextvars.ContextVar[str]" = contextvars.ContextVar(
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"thread_sensitive_context"
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)
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# Contextvar that is used to detect if the single thread executor
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# would be awaited on while already being used in the same context
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deadlock_context: "contextvars.ContextVar[bool]" = contextvars.ContextVar(
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"deadlock_context"
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)
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# Maintaining a weak reference to the context ensures that thread pools are
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# erased once the context goes out of scope. This terminates the thread pool.
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context_to_thread_executor: "weakref.WeakKeyDictionary[object, ThreadPoolExecutor]" = (
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weakref.WeakKeyDictionary()
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)
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def __init__(
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|
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self,
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func: Callable[..., Any],
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thread_sensitive: bool = True,
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executor: Optional["ThreadPoolExecutor"] = None,
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) -> None:
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|
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if (
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not callable(func)
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or _iscoroutinefunction_or_partial(func)
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or _iscoroutinefunction_or_partial(getattr(func, "__call__", func))
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):
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raise TypeError("sync_to_async can only be applied to sync functions.")
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self.func = func
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functools.update_wrapper(self, func)
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self._thread_sensitive = thread_sensitive
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self._is_coroutine = asyncio.coroutines._is_coroutine # type: ignore
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if thread_sensitive and executor is not None:
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raise TypeError("executor must not be set when thread_sensitive is True")
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self._executor = executor
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||
|
|
try:
|
||
|
|
self.__self__ = func.__self__ # type: ignore
|
||
|
|
except AttributeError:
|
||
|
|
pass
|
||
|
|
|
||
|
|
async def __call__(self, *args, **kwargs):
|
||
|
|
loop = asyncio.get_running_loop()
|
||
|
|
|
||
|
|
# Work out what thread to run the code in
|
||
|
|
if self._thread_sensitive:
|
||
|
|
if hasattr(AsyncToSync.executors, "current"):
|
||
|
|
# If we have a parent sync thread above somewhere, use that
|
||
|
|
executor = AsyncToSync.executors.current
|
||
|
|
elif self.thread_sensitive_context and self.thread_sensitive_context.get(
|
||
|
|
None
|
||
|
|
):
|
||
|
|
# If we have a way of retrieving the current context, attempt
|
||
|
|
# to use a per-context thread pool executor
|
||
|
|
thread_sensitive_context = self.thread_sensitive_context.get()
|
||
|
|
|
||
|
|
if thread_sensitive_context in self.context_to_thread_executor:
|
||
|
|
# Re-use thread executor in current context
|
||
|
|
executor = self.context_to_thread_executor[thread_sensitive_context]
|
||
|
|
else:
|
||
|
|
# Create new thread executor in current context
|
||
|
|
executor = ThreadPoolExecutor(max_workers=1)
|
||
|
|
self.context_to_thread_executor[thread_sensitive_context] = executor
|
||
|
|
elif loop in AsyncToSync.loop_thread_executors:
|
||
|
|
# Re-use thread executor for running loop
|
||
|
|
executor = AsyncToSync.loop_thread_executors[loop]
|
||
|
|
elif self.deadlock_context and self.deadlock_context.get(False):
|
||
|
|
raise RuntimeError(
|
||
|
|
"Single thread executor already being used, would deadlock"
|
||
|
|
)
|
||
|
|
else:
|
||
|
|
# Otherwise, we run it in a fixed single thread
|
||
|
|
executor = self.single_thread_executor
|
||
|
|
if self.deadlock_context:
|
||
|
|
self.deadlock_context.set(True)
|
||
|
|
else:
|
||
|
|
# Use the passed in executor, or the loop's default if it is None
|
||
|
|
executor = self._executor
|
||
|
|
|
||
|
|
context = contextvars.copy_context()
|
||
|
|
child = functools.partial(self.func, *args, **kwargs)
|
||
|
|
func = context.run
|
||
|
|
args = (child,)
|
||
|
|
kwargs = {}
|
||
|
|
|
||
|
|
try:
|
||
|
|
# Run the code in the right thread
|
||
|
|
future = loop.run_in_executor(
|
||
|
|
executor,
|
||
|
|
functools.partial(
|
||
|
|
self.thread_handler,
|
||
|
|
loop,
|
||
|
|
self.get_current_task(),
|
||
|
|
sys.exc_info(),
|
||
|
|
func,
|
||
|
|
*args,
|
||
|
|
**kwargs,
|
||
|
|
),
|
||
|
|
)
|
||
|
|
ret = await asyncio.wait_for(future, timeout=None)
|
||
|
|
|
||
|
|
finally:
|
||
|
|
_restore_context(context)
|
||
|
|
if self.deadlock_context:
|
||
|
|
self.deadlock_context.set(False)
|
||
|
|
|
||
|
|
return ret
|
||
|
|
|
||
|
|
def __get__(self, parent, objtype):
|
||
|
|
"""
|
||
|
|
Include self for methods
|
||
|
|
"""
|
||
|
|
return functools.partial(self.__call__, parent)
|
||
|
|
|
||
|
|
def thread_handler(self, loop, source_task, exc_info, func, *args, **kwargs):
|
||
|
|
"""
|
||
|
|
Wraps the sync application with exception handling.
|
||
|
|
"""
|
||
|
|
# Set the threadlocal for AsyncToSync
|
||
|
|
self.threadlocal.main_event_loop = loop
|
||
|
|
self.threadlocal.main_event_loop_pid = os.getpid()
|
||
|
|
# Set the task mapping (used for the locals module)
|
||
|
|
current_thread = threading.current_thread()
|
||
|
|
if AsyncToSync.launch_map.get(source_task) == current_thread:
|
||
|
|
# Our parent task was launched from this same thread, so don't make
|
||
|
|
# a launch map entry - let it shortcut over us! (and stop infinite loops)
|
||
|
|
parent_set = False
|
||
|
|
else:
|
||
|
|
self.launch_map[current_thread] = source_task
|
||
|
|
parent_set = True
|
||
|
|
# Run the function
|
||
|
|
try:
|
||
|
|
# If we have an exception, run the function inside the except block
|
||
|
|
# after raising it so exc_info is correctly populated.
|
||
|
|
if exc_info[1]:
|
||
|
|
try:
|
||
|
|
raise exc_info[1]
|
||
|
|
except BaseException:
|
||
|
|
return func(*args, **kwargs)
|
||
|
|
else:
|
||
|
|
return func(*args, **kwargs)
|
||
|
|
finally:
|
||
|
|
# Only delete the launch_map parent if we set it, otherwise it is
|
||
|
|
# from someone else.
|
||
|
|
if parent_set:
|
||
|
|
del self.launch_map[current_thread]
|
||
|
|
|
||
|
|
@staticmethod
|
||
|
|
def get_current_task():
|
||
|
|
"""
|
||
|
|
Implementation of asyncio.current_task()
|
||
|
|
that returns None if there is no task.
|
||
|
|
"""
|
||
|
|
try:
|
||
|
|
return asyncio.current_task()
|
||
|
|
except RuntimeError:
|
||
|
|
return None
|
||
|
|
|
||
|
|
|
||
|
|
# Lowercase aliases (and decorator friendliness)
|
||
|
|
async_to_sync = AsyncToSync
|
||
|
|
|
||
|
|
|
||
|
|
@overload
|
||
|
|
def sync_to_async(
|
||
|
|
func: None = None,
|
||
|
|
thread_sensitive: bool = True,
|
||
|
|
executor: Optional["ThreadPoolExecutor"] = None,
|
||
|
|
) -> Callable[[Callable[..., Any]], SyncToAsync]:
|
||
|
|
...
|
||
|
|
|
||
|
|
|
||
|
|
@overload
|
||
|
|
def sync_to_async(
|
||
|
|
func: Callable[..., Any],
|
||
|
|
thread_sensitive: bool = True,
|
||
|
|
executor: Optional["ThreadPoolExecutor"] = None,
|
||
|
|
) -> SyncToAsync:
|
||
|
|
...
|
||
|
|
|
||
|
|
|
||
|
|
def sync_to_async(
|
||
|
|
func=None,
|
||
|
|
thread_sensitive=True,
|
||
|
|
executor=None,
|
||
|
|
):
|
||
|
|
if func is None:
|
||
|
|
return lambda f: SyncToAsync(
|
||
|
|
f,
|
||
|
|
thread_sensitive=thread_sensitive,
|
||
|
|
executor=executor,
|
||
|
|
)
|
||
|
|
return SyncToAsync(
|
||
|
|
func,
|
||
|
|
thread_sensitive=thread_sensitive,
|
||
|
|
executor=executor,
|
||
|
|
)
|