summary refs log tree commit diff
path: root/synapse/util/__init__.py
blob: e0d876e84bf3ecfc8214c58e463c98e7518cc512 (plain) (blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
#
# This file is licensed under the Affero General Public License (AGPL) version 3.
#
# Copyright 2014-2016 OpenMarket Ltd
# Copyright (C) 2023 New Vector, Ltd
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# See the GNU Affero General Public License for more details:
# <https://www.gnu.org/licenses/agpl-3.0.html>.
#
# Originally licensed under the Apache License, Version 2.0:
# <http://www.apache.org/licenses/LICENSE-2.0>.
#
# [This file includes modifications made by New Vector Limited]
#
#

import json
import logging
import typing
from typing import Any, Callable, Dict, Generator, Optional, Sequence

import attr
from immutabledict import immutabledict
from matrix_common.versionstring import get_distribution_version_string
from typing_extensions import ParamSpec

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_immutabledict(obj: Any) -> Dict[Any, Any]:
    """Helper for json_encoder. Makes immutabledicts serializable by returning
    the underlying dict
    """
    if type(obj) is immutabledict:
        # 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.
            return obj._dict
        except AttributeError:
            # If all else fails, resort to making a copy of the immutabledict
            return dict(obj)
    raise TypeError(
        "Object of type %s is not JSON serializable" % obj.__class__.__name__
    )


# A custom JSON encoder which:
#   * handles immutabledicts
#   * produces valid JSON (no NaNs etc)
#   * reduces redundant whitespace
json_encoder = json.JSONEncoder(
    allow_nan=False, separators=(",", ":"), default=_handle_immutabledict
)

# Create a custom decoder to reject Python extensions to JSON.
json_decoder = json.JSONDecoder(parse_constant=_reject_invalid_json)


def unwrapFirstError(failure: Failure) -> Failure:
    # Deprecated: you probably just want to catch defer.FirstError and reraise
    # the subFailure's value, which will do a better job of preserving stacktraces.
    # (actually, you probably want to use yieldable_gather_results anyway)
    failure.trap(defer.FirstError)
    return failure.value.subFailure


P = ParamSpec("P")


@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
    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[P, object],
        msec: float,
        *args: P.args,
        **kwargs: P.kwargs,
    ) -> LoopingCall:
        """Call a function repeatedly.

        Waits `msec` initially before calling `f` for the first time.

        If the function given to `looping_call` returns an awaitable/deferred, the next
        call isn't scheduled until after the returned awaitable has finished. We get
        this functionality thanks to this function being a thin wrapper around
        `twisted.internet.task.LoopingCall`.

        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: Positional arguments to pass to function.
            **kwargs: Key arguments to pass to function.
        """
        return self._looping_call_common(f, msec, False, *args, **kwargs)

    def looping_call_now(
        self,
        f: Callable[P, object],
        msec: float,
        *args: P.args,
        **kwargs: P.kwargs,
    ) -> LoopingCall:
        """Call a function immediately, and then repeatedly thereafter.

        As with `looping_call`: subsequent calls are not scheduled until after the
        the Awaitable returned by a previous call has finished.

        Also as with `looping_call`: the function is called with no logcontext and
        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: Positional arguments to pass to function.
            **kwargs: Key arguments to pass to function.
        """
        return self._looping_call_common(f, msec, True, *args, **kwargs)

    def _looping_call_common(
        self,
        f: Callable[P, object],
        msec: float,
        now: bool,
        *args: P.args,
        **kwargs: P.kwargs,
    ) -> LoopingCall:
        """Common functionality for `looping_call` and `looping_call_now`"""
        call = task.LoopingCall(f, *args, **kwargs)
        call.clock = self._reactor
        d = call.start(msec / 1000.0, now=now)
        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())
    )

    if not consumeErrors:
        return failure
    return None


# Version string with git info. Computed here once so that we don't invoke git multiple
# times.
SYNAPSE_VERSION = get_distribution_version_string("matrix-synapse", __file__)


class ExceptionBundle(Exception):
    # A poor stand-in for something like Python 3.11's ExceptionGroup.
    # (A backport called `exceptiongroup` exists but seems overkill: we just want a
    # container type here.)
    def __init__(self, message: str, exceptions: Sequence[Exception]):
        parts = [message]
        for e in exceptions:
            parts.append(str(e))
        super().__init__("\n  - ".join(parts))
        self.exceptions = exceptions