diff options
Diffstat (limited to 'synapse/api')
| -rw-r--r-- | synapse/api/ratelimiting.py | 94 |
1 files changed, 82 insertions, 12 deletions
diff --git a/synapse/api/ratelimiting.py b/synapse/api/ratelimiting.py index 54d13026c9..f43965c1c8 100644 --- a/synapse/api/ratelimiting.py +++ b/synapse/api/ratelimiting.py @@ -27,6 +27,33 @@ class Ratelimiter: """ Ratelimit actions marked by arbitrary keys. + (Note that the source code speaks of "actions" and "burst_count" rather than + "tokens" and a "bucket_size".) + + This is a "leaky bucket as a meter". For each key to be tracked there is a bucket + containing some number 0 <= T <= `burst_count` of tokens corresponding to previously + permitted requests for that key. Each bucket starts empty, and gradually leaks + tokens at a rate of `rate_hz`. + + Upon an incoming request, we must determine: + - the key that this request falls under (which bucket to inspect), and + - the cost C of this request in tokens. + Then, if there is room in the bucket for C tokens (T + C <= `burst_count`), + the request is permitted and `cost` tokens are added to the bucket. + Otherwise the request is denied, and the bucket continues to hold T tokens. + + This means that the limiter enforces an average request frequency of `rate_hz`, + while accumulating a buffer of up to `burst_count` requests which can be consumed + instantaneously. + + The tricky bit is the leaking. We do not want to have a periodic process which + leaks every bucket! Instead, we track + - the time point when the bucket was last completely empty, and + - how many tokens have added to the bucket permitted since then. + Then for each incoming request, we can calculate how many tokens have leaked + since this time point, and use that to decide if we should accept or reject the + request. + 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. @@ -41,14 +68,30 @@ class Ratelimiter: self.burst_count = burst_count self.store = store - # 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 + # An ordered dictionary representing the token buckets tracked by this rate + # limiter. Each entry maps a key of arbitrary type to a tuple representing: + # * The number of tokens currently in the bucket, + # * The time point when the bucket was last completely empty, and + # * The rate_hz (leak rate) of this particular bucket. self.actions: OrderedDict[Hashable, Tuple[float, float, float]] = OrderedDict() + def _get_key( + self, requester: Optional[Requester], key: Optional[Hashable] + ) -> Hashable: + """Use the requester's MXID as a fallback key if no key is provided.""" + if key is None: + if not requester: + raise ValueError("Must supply at least one of `requester` or `key`") + + key = requester.user.to_string() + return key + + def _get_action_counts( + self, key: Hashable, time_now_s: float + ) -> Tuple[float, float, float]: + """Retrieve the action counts, with a fallback representing an empty bucket.""" + return self.actions.get(key, (0.0, time_now_s, 0.0)) + async def can_do_action( self, requester: Optional[Requester], @@ -88,11 +131,7 @@ class Ratelimiter: * The reactor timestamp for when the action can be performed next. -1 if rate_hz is less than or equal to zero """ - if key is None: - if not requester: - raise ValueError("Must supply at least one of `requester` or `key`") - - key = requester.user.to_string() + key = self._get_key(requester, key) if requester: # Disable rate limiting of users belonging to any AS that is configured @@ -121,7 +160,7 @@ class Ratelimiter: 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)) + action_count, time_start, _ = self._get_action_counts(key, time_now_s) # Check whether performing another action is allowed time_delta = time_now_s - time_start @@ -164,6 +203,37 @@ class Ratelimiter: return allowed, time_allowed + def record_action( + self, + requester: Optional[Requester], + key: Optional[Hashable] = None, + n_actions: int = 1, + _time_now_s: Optional[float] = None, + ) -> None: + """Record that an action(s) took place, even if they violate the rate limit. + + This is useful for tracking the frequency of events that happen across + federation which we still want to impose local rate limits on. For instance, if + we are alice.com monitoring a particular room, we cannot prevent bob.com + from joining users to that room. However, we can track the number of recent + joins in the room and refuse to serve new joins ourselves if there have been too + many in the room across both homeservers. + + Args: + requester: The requester that is doing the action, if any. + key: An arbitrary key used to classify an action. Defaults to the + requester's user ID. + n_actions: The number of times the user wants to do this action. If the user + cannot do all of the actions, the user's action count is not incremented + at all. + _time_now_s: The current time. Optional, defaults to the current time according + to self.clock. Only used by tests. + """ + key = self._get_key(requester, key) + time_now_s = _time_now_s if _time_now_s is not None else self.clock.time() + action_count, time_start, rate_hz = self._get_action_counts(key, time_now_s) + self.actions[key] = (action_count + n_actions, time_start, rate_hz) + def _prune_message_counts(self, time_now_s: float) -> None: """Remove message count entries that have not exceeded their defined rate_hz limit |