synapse-product/synapse/util/__init__.py

184 lines
6.2 KiB
Python

# Copyright 2014-2016 OpenMarket Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import json
import logging
import typing
from typing import Any, Callable, Dict, Generator, Optional
import attr
from frozendict import frozendict
from twisted.internet import defer, task
from twisted.internet.defer import Deferred
from twisted.internet.interfaces import IDelayedCall, IReactorTime
from twisted.internet.task import LoopingCall
from twisted.python.failure import Failure
from synapse.logging import context
if typing.TYPE_CHECKING:
pass
logger = logging.getLogger(__name__)
def _reject_invalid_json(val: Any) -> None:
"""Do not allow Infinity, -Infinity, or NaN values in JSON."""
raise ValueError("Invalid JSON value: '%s'" % val)
def _handle_frozendict(obj: Any) -> Dict[Any, Any]:
"""Helper for json_encoder. Makes frozendicts serializable by returning
the underlying dict
"""
if type(obj) is frozendict:
# fishing the protected dict out of the object is a bit nasty,
# but we don't really want the overhead of copying the dict.
try:
# Safety: we catch the AttributeError immediately below.
# See https://github.com/matrix-org/python-canonicaljson/issues/36#issuecomment-927816293
# for discussion on how frozendict's internals have changed over time.
return obj._dict # type: ignore[attr-defined]
except AttributeError:
# When the C implementation of frozendict is used,
# there isn't a `_dict` attribute with a dict
# so we resort to making a copy of the frozendict
return dict(obj)
raise TypeError(
"Object of type %s is not JSON serializable" % obj.__class__.__name__
)
# A custom JSON encoder which:
# * handles frozendicts
# * produces valid JSON (no NaNs etc)
# * reduces redundant whitespace
json_encoder = json.JSONEncoder(
allow_nan=False, separators=(",", ":"), default=_handle_frozendict
)
# Create a custom decoder to reject Python extensions to JSON.
json_decoder = json.JSONDecoder(parse_constant=_reject_invalid_json)
def unwrapFirstError(failure: Failure) -> Failure:
# defer.gatherResults and DeferredLists wrap failures.
failure.trap(defer.FirstError)
return failure.value.subFailure # type: ignore[union-attr] # Issue in Twisted's annotations
@attr.s(slots=True)
class Clock:
"""
A Clock wraps a Twisted reactor and provides utilities on top of it.
Args:
reactor: The Twisted reactor to use.
"""
_reactor: IReactorTime = attr.ib()
@defer.inlineCallbacks # type: ignore[arg-type] # Issue in Twisted's type annotations
def sleep(self, seconds: float) -> "Generator[Deferred[float], Any, Any]":
d: defer.Deferred[float] = defer.Deferred()
with context.PreserveLoggingContext():
self._reactor.callLater(seconds, d.callback, seconds)
res = yield d
return res
def time(self) -> float:
"""Returns the current system time in seconds since epoch."""
return self._reactor.seconds()
def time_msec(self) -> int:
"""Returns the current system time in milliseconds since epoch."""
return int(self.time() * 1000)
def looping_call(
self, f: Callable, msec: float, *args: Any, **kwargs: Any
) -> LoopingCall:
"""Call a function repeatedly.
Waits `msec` initially before calling `f` for the first time.
Note that the function will be called with no logcontext, so if it is anything
other than trivial, you probably want to wrap it in run_as_background_process.
Args:
f: The function to call repeatedly.
msec: How long to wait between calls in milliseconds.
*args: Postional arguments to pass to function.
**kwargs: Key arguments to pass to function.
"""
call = task.LoopingCall(f, *args, **kwargs)
call.clock = self._reactor
d = call.start(msec / 1000.0, now=False)
d.addErrback(log_failure, "Looping call died", consumeErrors=False)
return call
def call_later(
self, delay: float, callback: Callable, *args: Any, **kwargs: Any
) -> IDelayedCall:
"""Call something later
Note that the function will be called with no logcontext, so if it is anything
other than trivial, you probably want to wrap it in run_as_background_process.
Args:
delay: How long to wait in seconds.
callback: Function to call
*args: Postional arguments to pass to function.
**kwargs: Key arguments to pass to function.
"""
def wrapped_callback(*args: Any, **kwargs: Any) -> None:
with context.PreserveLoggingContext():
callback(*args, **kwargs)
with context.PreserveLoggingContext():
return self._reactor.callLater(delay, wrapped_callback, *args, **kwargs)
def cancel_call_later(self, timer: IDelayedCall, ignore_errs: bool = False) -> None:
try:
timer.cancel()
except Exception:
if not ignore_errs:
raise
def log_failure(
failure: Failure, msg: str, consumeErrors: bool = True
) -> Optional[Failure]:
"""Creates a function suitable for passing to `Deferred.addErrback` that
logs any failures that occur.
Args:
failure: The Failure to log
msg: Message to log
consumeErrors: If true consumes the failure, otherwise passes on down
the callback chain
Returns:
The Failure if consumeErrors is false. None, otherwise.
"""
logger.error(
msg, exc_info=(failure.type, failure.value, failure.getTracebackObject()) # type: ignore[arg-type]
)
if not consumeErrors:
return failure
return None