# Copyright 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. from typing import Generic, List, TypeVar T = TypeVar("T") class _Entry(Generic[T]): __slots__ = ["end_key", "queue"] def __init__(self, end_key: int) -> None: self.end_key: int = end_key self.queue: List[T] = [] class WheelTimer(Generic[T]): """Stores arbitrary objects that will be returned after their timers have expired. """ def __init__(self, bucket_size: int = 5000) -> None: """ Args: bucket_size: Size of buckets in ms. Corresponds roughly to the accuracy of the timer. """ self.bucket_size: int = bucket_size self.entries: List[_Entry[T]] = [] self.current_tick: int = 0 def insert(self, now: int, obj: T, then: int) -> None: """Inserts object into timer. Args: now: Current time in msec obj: Object to be inserted then: When to return the object strictly after. """ then_key = int(then / self.bucket_size) + 1 if self.entries: min_key = self.entries[0].end_key max_key = self.entries[-1].end_key if then_key <= max_key: # The max here is to protect against inserts for times in the past self.entries[max(min_key, then_key) - min_key].queue.append(obj) return next_key = int(now / self.bucket_size) + 1 if self.entries: last_key = self.entries[-1].end_key else: last_key = next_key # Handle the case when `then` is in the past and `entries` is empty. then_key = max(last_key, then_key) # Add empty entries between the end of the current list and when we want # to insert. This ensures there are no gaps. self.entries.extend(_Entry(key) for key in range(last_key, then_key + 1)) self.entries[-1].queue.append(obj) def fetch(self, now: int) -> List[T]: """Fetch any objects that have timed out Args: now (ms): Current time in msec Returns: list: List of objects that have timed out """ now_key = int(now / self.bucket_size) ret = [] while self.entries and self.entries[0].end_key <= now_key: ret.extend(self.entries.pop(0).queue) return ret def __len__(self) -> int: return sum(len(entry.queue) for entry in self.entries)