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https://git.anonymousland.org/anonymousland/synapse.git
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f8d0f72b27
The following modules now pass `disallow_untyped_defs`: * synapse.util.caches.cached_call * synapse.util.caches.lrucache * synapse.util.caches.response_cache * synapse.util.caches.stream_change_cache * synapse.util.caches.ttlcache pass * synapse.util.daemonize * synapse.util.patch_inline_callbacks pass `no-untyped-defs` * synapse.util.versionstring Additional typing in synapse.util.metrics. Didn't get this to pass `no-untyped-defs`, think I'll need to watch #10847
136 lines
5.2 KiB
Python
136 lines
5.2 KiB
Python
# Copyright 2021 The Matrix.org Foundation C.I.C.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import enum
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from typing import Awaitable, Callable, Generic, Optional, TypeVar, Union
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from twisted.internet.defer import Deferred
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from twisted.python.failure import Failure
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from synapse.logging.context import make_deferred_yieldable, run_in_background
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TV = TypeVar("TV")
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class _Sentinel(enum.Enum):
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sentinel = object()
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class CachedCall(Generic[TV]):
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"""A wrapper for asynchronous calls whose results should be shared
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This is useful for wrapping asynchronous functions, where there might be multiple
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callers, but we only want to call the underlying function once (and have the result
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returned to all callers).
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Similar results can be achieved via a lock of some form, but that typically requires
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more boilerplate (and ends up being less efficient).
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Correctly handles Synapse logcontexts (logs and resource usage for the underlying
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function are logged against the logcontext which is active when get() is first
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called).
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Example usage:
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_cached_val = CachedCall(_load_prop)
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async def handle_request() -> X:
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# We can call this multiple times, but it will result in a single call to
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# _load_prop().
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return await _cached_val.get()
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async def _load_prop() -> X:
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await difficult_operation()
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The implementation is deliberately single-shot (ie, once the call is initiated,
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there is no way to ask for it to be run). This keeps the implementation and
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semantics simple. If you want to make a new call, simply replace the whole
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CachedCall object.
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"""
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__slots__ = ["_callable", "_deferred", "_result"]
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def __init__(self, f: Callable[[], Awaitable[TV]]):
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"""
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Args:
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f: The underlying function. Only one call to this function will be alive
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at once (per instance of CachedCall)
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"""
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self._callable: Optional[Callable[[], Awaitable[TV]]] = f
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self._deferred: Optional[Deferred] = None
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self._result: Union[_Sentinel, TV, Failure] = _Sentinel.sentinel
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async def get(self) -> TV:
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"""Kick off the call if necessary, and return the result"""
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# Fire off the callable now if this is our first time
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if not self._deferred:
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self._deferred = run_in_background(self._callable)
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# we will never need the callable again, so make sure it can be GCed
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self._callable = None
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# once the deferred completes, store the result. We cannot simply leave the
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# result in the deferred, since `awaiting` a deferred destroys its result.
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# (Also, if it's a Failure, GCing the deferred would log a critical error
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# about unhandled Failures)
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def got_result(r: Union[TV, Failure]) -> None:
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self._result = r
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self._deferred.addBoth(got_result)
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# TODO: consider cancellation semantics. Currently, if the call to get()
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# is cancelled, the underlying call will continue (and any future calls
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# will get the result/exception), which I think is *probably* ok, modulo
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# the fact the underlying call may be logged to a cancelled logcontext,
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# and any eventual exception may not be reported.
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# we can now await the deferred, and once it completes, return the result.
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if isinstance(self._result, _Sentinel):
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await make_deferred_yieldable(self._deferred)
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assert not isinstance(self._result, _Sentinel)
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if isinstance(self._result, Failure):
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self._result.raiseException()
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raise AssertionError("unexpected return from Failure.raiseException")
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return self._result
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class RetryOnExceptionCachedCall(Generic[TV]):
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"""A wrapper around CachedCall which will retry the call if an exception is thrown
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This is used in much the same way as CachedCall, but adds some extra functionality
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so that if the underlying function throws an exception, then the next call to get()
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will initiate another call to the underlying function. (Any calls to get() which
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are already pending will raise the exception.)
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"""
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slots = ["_cachedcall"]
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def __init__(self, f: Callable[[], Awaitable[TV]]):
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async def _wrapper() -> TV:
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try:
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return await f()
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except Exception:
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# the call raised an exception: replace the underlying CachedCall to
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# trigger another call next time get() is called
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self._cachedcall = CachedCall(_wrapper)
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raise
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self._cachedcall = CachedCall(_wrapper)
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async def get(self) -> TV:
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return await self._cachedcall.get()
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