194 lines
6.0 KiB
Python
194 lines
6.0 KiB
Python
import heapq
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import time
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import operator
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import asyncio
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from collections import OrderedDict
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from .utils import OrderedSet, shared_prefix, bytes_to_bit_string
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class KBucket:
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"""
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each node keeps a list of (ip, udp_port, node_id)
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for nodes of distance between 2^i and 2^(i+1)
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this list that every node keeps is a k-bucket
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each k-bucket implements a last seen eviction
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policy except that live nodes are never removed
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"""
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def __init__(self, rangeLower, rangeUpper, ksize):
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self.range = (rangeLower, rangeUpper)
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self.nodes = OrderedDict()
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self.replacement_nodes = OrderedSet()
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self.touch_last_updated()
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self.ksize = ksize
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def touch_last_updated(self):
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self.last_updated = time.monotonic()
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def get_nodes(self):
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return list(self.nodes.values())
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def split(self):
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midpoint = (self.range[0] + self.range[1]) / 2
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one = KBucket(self.range[0], midpoint, self.ksize)
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two = KBucket(midpoint + 1, self.range[1], self.ksize)
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for node in self.nodes.values():
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bucket = one if node.long_id <= midpoint else two
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bucket.nodes[node.peer_id] = node
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return (one, two)
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def remove_node(self, node):
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if node.peer_id not in self.nodes:
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return
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# delete node, and see if we can add a replacement
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del self.nodes[node.peer_id]
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if self.replacement_nodes:
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newnode = self.replacement_nodes.pop()
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self.nodes[newnode.peer_id] = newnode
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def has_in_range(self, node):
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return self.range[0] <= node.long_id <= self.range[1]
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def is_new_node(self, node):
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return node.peer_id not in self.nodes
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def add_node(self, node):
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"""
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Add a C{Node} to the C{KBucket}. Return True if successful,
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False if the bucket is full.
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If the bucket is full, keep track of node in a replacement list,
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per section 4.1 of the paper.
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"""
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if node.peer_id in self.nodes:
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del self.nodes[node.peer_id]
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self.nodes[node.peer_id] = node
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elif len(self) < self.ksize:
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self.nodes[node.peer_id] = node
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else:
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self.replacement_nodes.push(node)
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return False
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return True
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def depth(self):
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vals = self.nodes.values()
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sprefix = shared_prefix([bytes_to_bit_string(n.peer_id) for n in vals])
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return len(sprefix)
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def head(self):
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return list(self.nodes.values())[0]
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def __getitem__(self, node_id):
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return self.nodes.get(node_id, None)
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def __len__(self):
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return len(self.nodes)
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class TableTraverser:
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def __init__(self, table, startNode):
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index = table.get_bucket_for(startNode)
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table.buckets[index].touch_last_updated()
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self.current_nodes = table.buckets[index].get_nodes()
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self.left_buckets = table.buckets[:index]
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self.right_buckets = table.buckets[(index + 1):]
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self.left = True
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def __iter__(self):
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return self
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def __next__(self):
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"""
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Pop an item from the left subtree, then right, then left, etc.
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"""
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if self.current_nodes:
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return self.current_nodes.pop()
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if self.left and self.left_buckets:
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self.current_nodes = self.left_buckets.pop().get_nodes()
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self.left = False
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return next(self)
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if self.right_buckets:
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self.current_nodes = self.right_buckets.pop(0).get_nodes()
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self.left = True
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return next(self)
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raise StopIteration
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class RoutingTable:
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def __init__(self, protocol, ksize, node):
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"""
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@param node: The node that represents this server. It won't
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be added to the routing table, but will be needed later to
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determine which buckets to split or not.
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"""
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self.node = node
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self.protocol = protocol
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self.ksize = ksize
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self.flush()
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def flush(self):
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self.buckets = [KBucket(0, 2 ** 160, self.ksize)]
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def split_bucket(self, index):
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one, two = self.buckets[index].split()
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self.buckets[index] = one
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self.buckets.insert(index + 1, two)
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def lonely_buckets(self):
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"""
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Get all of the buckets that haven't been updated in over
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an hour.
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"""
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hrago = time.monotonic() - 3600
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return [b for b in self.buckets if b.last_updated < hrago]
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def remove_contact(self, node):
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index = self.get_bucket_for(node)
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self.buckets[index].remove_node(node)
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def is_new_node(self, node):
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index = self.get_bucket_for(node)
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return self.buckets[index].is_new_node(node)
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def add_contact(self, node):
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index = self.get_bucket_for(node)
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bucket = self.buckets[index]
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# this will succeed unless the bucket is full
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if bucket.add_node(node):
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return
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# Per section 4.2 of paper, split if the bucket has the node
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# in its range or if the depth is not congruent to 0 mod 5
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if bucket.has_in_range(self.node) or bucket.depth() % 5 != 0:
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self.split_bucket(index)
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self.add_contact(node)
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else:
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asyncio.ensure_future(self.protocol.call_ping(bucket.head()))
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def get_bucket_for(self, node):
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"""
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Get the index of the bucket that the given node would fall into.
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"""
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for index, bucket in enumerate(self.buckets):
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if node.long_id < bucket.range[1]:
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return index
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# we should never be here, but make linter happy
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return None
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def find_neighbors(self, node, k=None, exclude=None):
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k = k or self.ksize
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nodes = []
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for neighbor in TableTraverser(self, node):
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notexcluded = exclude is None or not neighbor.same_home_as(exclude)
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if neighbor.peer_id != node.peer_id and notexcluded:
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heapq.heappush(nodes, (node.distance_to(neighbor), neighbor))
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if len(nodes) == k:
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break
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return list(map(operator.itemgetter(1), heapq.nsmallest(k, nodes)))
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