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# Copyright 2014-2016 OpenMarket Ltd
# Copyright 2020 The Matrix.org Foundation C.I.C.
#
# 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.
from collections import OrderedDict
from typing import Any, Optional, Tuple
from synapse.api.errors import LimitExceededError
from synapse.util import Clock
class Ratelimiter(object):
"""
Ratelimit actions marked by arbitrary keys.
Args:
clock: A homeserver clock, for retrieving the current time
rate_hz: The long term number of actions that can be performed in a second.
burst_count: How many actions that can be performed before being limited.
"""
def __init__(self, clock: Clock, rate_hz: float, burst_count: int):
self.clock = clock
self.rate_hz = rate_hz
self.burst_count = burst_count
# A ordered dictionary keeping track of actions, when they were last
# performed and how often. Each entry is a mapping from a key of arbitrary type
# to a tuple representing:
# * How many times an action has occurred since a point in time
# * The point in time
# * The rate_hz of this particular entry. This can vary per request
self.actions = OrderedDict() # type: OrderedDict[Any, Tuple[float, int, float]]
def can_do_action(
self,
key: Any,
rate_hz: Optional[float] = None,
burst_count: Optional[int] = None,
update: bool = True,
_time_now_s: Optional[int] = None,
) -> Tuple[bool, float]:
"""Can the entity (e.g. user or IP address) perform the action?
Args:
key: The key we should use when rate limiting. Can be a user ID
(when sending events), an IP address, etc.
rate_hz: The long term number of actions that can be performed in a second.
Overrides the value set during instantiation if set.
burst_count: How many actions that can be performed before being limited.
Overrides the value set during instantiation if set.
update: Whether to count this check as performing the action
_time_now_s: The current time. Optional, defaults to the current time according
to self.clock. Only used by tests.
Returns:
A tuple containing:
* A bool indicating if they can perform the action now
* The reactor timestamp for when the action can be performed next.
-1 if rate_hz is less than or equal to zero
"""
# Override default values if set
time_now_s = _time_now_s if _time_now_s is not None else self.clock.time()
rate_hz = rate_hz if rate_hz is not None else self.rate_hz
burst_count = burst_count if burst_count is not None else self.burst_count
# Remove any expired entries
self._prune_message_counts(time_now_s)
# Check if there is an existing count entry for this key
action_count, time_start, _ = self.actions.get(key, (0.0, time_now_s, 0.0))
# Check whether performing another action is allowed
time_delta = time_now_s - time_start
performed_count = action_count - time_delta * rate_hz
if performed_count < 0:
# Allow, reset back to count 1
allowed = True
time_start = time_now_s
action_count = 1.0
elif performed_count > burst_count - 1.0:
# Deny, we have exceeded our burst count
allowed = False
else:
# We haven't reached our limit yet
allowed = True
action_count += 1.0
if update:
self.actions[key] = (action_count, time_start, rate_hz)
if rate_hz > 0:
# Find out when the count of existing actions expires
time_allowed = time_start + (action_count - burst_count + 1) / rate_hz
# Don't give back a time in the past
if time_allowed < time_now_s:
time_allowed = time_now_s
else:
# XXX: Why is this -1? This seems to only be used in
# self.ratelimit. I guess so that clients get a time in the past and don't
# feel afraid to try again immediately
time_allowed = -1
return allowed, time_allowed
def _prune_message_counts(self, time_now_s: int):
"""Remove message count entries that have not exceeded their defined
rate_hz limit
Args:
time_now_s: The current time
"""
# We create a copy of the key list here as the dictionary is modified during
# the loop
for key in list(self.actions.keys()):
action_count, time_start, rate_hz = self.actions[key]
# Rate limit = "seconds since we started limiting this action" * rate_hz
# If this limit has not been exceeded, wipe our record of this action
time_delta = time_now_s - time_start
if action_count - time_delta * rate_hz > 0:
continue
else:
del self.actions[key]
def ratelimit(
self,
key: Any,
rate_hz: Optional[float] = None,
burst_count: Optional[int] = None,
update: bool = True,
_time_now_s: Optional[int] = None,
):
"""Checks if an action can be performed. If not, raises a LimitExceededError
Args:
key: An arbitrary key used to classify an action
rate_hz: The long term number of actions that can be performed in a second.
Overrides the value set during instantiation if set.
burst_count: How many actions that can be performed before being limited.
Overrides the value set during instantiation if set.
update: Whether to count this check as performing the action
_time_now_s: The current time. Optional, defaults to the current time according
to self.clock. Only used by tests.
Raises:
LimitExceededError: If an action could not be performed, along with the time in
milliseconds until the action can be performed again
"""
time_now_s = _time_now_s if _time_now_s is not None else self.clock.time()
allowed, time_allowed = self.can_do_action(
key,
rate_hz=rate_hz,
burst_count=burst_count,
update=update,
_time_now_s=time_now_s,
)
if not allowed:
raise LimitExceededError(
retry_after_ms=int(1000 * (time_allowed - time_now_s))
)
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