## Nim-LibP2P ## Copyright (c) 2021 Status Research & Development GmbH ## Licensed under either of ## * Apache License, version 2.0, ([LICENSE-APACHE](LICENSE-APACHE)) ## * MIT license ([LICENSE-MIT](LICENSE-MIT)) ## at your option. ## This file may not be copied, modified, or distributed except according to ## those terms. # {.push raises: [Defect].} TODO compile error on windows due to chronicles? import std/[tables, sequtils, sets, algorithm] import random # for shuffle import chronos, chronicles, metrics import "."/[types, scoring] import ".."/[pubsubpeer, peertable, timedcache, mcache, floodsub, pubsub] import "../rpc"/[messages] import "../../.."/[peerid, multiaddress, utility, switch] declareGauge(libp2p_gossipsub_cache_window_size, "the number of messages in the cache") declareGauge(libp2p_gossipsub_peers_per_topic_mesh, "gossipsub peers per topic in mesh", labels = ["topic"]) declareGauge(libp2p_gossipsub_peers_per_topic_fanout, "gossipsub peers per topic in fanout", labels = ["topic"]) declareGauge(libp2p_gossipsub_peers_per_topic_gossipsub, "gossipsub peers per topic in gossipsub", labels = ["topic"]) declareGauge(libp2p_gossipsub_under_dout_topics, "number of topics below dout") declareGauge(libp2p_gossipsub_no_peers_topics, "number of topics in mesh with no peers") declareGauge(libp2p_gossipsub_low_peers_topics, "number of topics in mesh with at least one but below dlow peers") declareGauge(libp2p_gossipsub_healthy_peers_topics, "number of topics in mesh with at least dlow peers (but below dhigh)") declareCounter(libp2p_gossipsub_above_dhigh_condition, "number of above dhigh pruning branches ran", labels = ["topic"]) proc grafted*(g: GossipSub, p: PubSubPeer, topic: string) {.raises: [Defect].} = g.withPeerStats(p.peerId) do (stats: var PeerStats): var info = stats.topicInfos.getOrDefault(topic) info.graftTime = Moment.now() info.meshTime = 0.seconds info.inMesh = true info.meshMessageDeliveriesActive = false stats.topicInfos[topic] = info trace "grafted", peer=p, topic proc pruned*(g: GossipSub, p: PubSubPeer, topic: string) {.raises: [Defect].} = let backoff = Moment.fromNow(g.parameters.pruneBackoff) g.backingOff .mgetOrPut(topic, initTable[PeerID, Moment]())[p.peerId] = backoff g.peerStats.withValue(p.peerId, stats): stats.topicInfos.withValue(topic, info): g.topicParams.withValue(topic, topicParams): # penalize a peer that delivered no message let threshold = topicParams[].meshMessageDeliveriesThreshold if info[].inMesh and info[].meshMessageDeliveriesActive and info[].meshMessageDeliveries < threshold: let deficit = threshold - info.meshMessageDeliveries info[].meshFailurePenalty += deficit * deficit info.inMesh = false trace "pruned", peer=p, topic proc handleBackingOff*(t: var BackoffTable, topic: string) {.raises: [Defect].} = let now = Moment.now() var expired = toSeq(t.getOrDefault(topic).pairs()) expired.keepIf do (pair: tuple[peer: PeerID, expire: Moment]) -> bool: now >= pair.expire for (peer, _) in expired: t.withValue(topic, v): v[].del(peer) proc peerExchangeList*(g: GossipSub, topic: string): seq[PeerInfoMsg] {.raises: [Defect].} = var peers = g.gossipsub.getOrDefault(topic, initHashSet[PubSubPeer]()).toSeq() peers.keepIf do (x: PubSubPeer) -> bool: x.score >= 0.0 # by spec, larger then Dhi, but let's put some hard caps peers.setLen(min(peers.len, g.parameters.dHigh * 2)) peers.map do (x: PubSubPeer) -> PeerInfoMsg: PeerInfoMsg(peerID: x.peerId.getBytes()) proc handleGraft*(g: GossipSub, peer: PubSubPeer, grafts: seq[ControlGraft]): seq[ControlPrune] = # {.raises: [Defect].} TODO chronicles exception on windows for graft in grafts: let topic = graft.topicID trace "peer grafted topic", peer, topic # It is an error to GRAFT on a explicit peer if peer.peerId in g.parameters.directPeers: # receiving a graft from a direct peer should yield a more prominent warning (protocol violation) warn "attempt to graft an explicit peer, peering agreements should be reciprocal", peer, topic # and such an attempt should be logged and rejected with a PRUNE result.add(ControlPrune( topicID: topic, peers: @[], # omitting heavy computation here as the remote did something illegal backoff: g.parameters.pruneBackoff.seconds.uint64)) let backoff = Moment.fromNow(g.parameters.pruneBackoff) g.backingOff .mgetOrPut(topic, initTable[PeerID, Moment]())[peer.peerId] = backoff peer.behaviourPenalty += 0.1 continue if g.backingOff .getOrDefault(topic) .getOrDefault(peer.peerId) > Moment.now(): debug "attempt to graft a backingOff peer", peer, topic # and such an attempt should be logged and rejected with a PRUNE result.add(ControlPrune( topicID: topic, peers: @[], # omitting heavy computation here as the remote did something illegal backoff: g.parameters.pruneBackoff.seconds.uint64)) let backoff = Moment.fromNow(g.parameters.pruneBackoff) g.backingOff .mgetOrPut(topic, initTable[PeerID, Moment]())[peer.peerId] = backoff peer.behaviourPenalty += 0.1 continue # not in the spec exactly, but let's avoid way too low score peers # other clients do it too also was an audit recommendation if peer.score < g.parameters.publishThreshold: continue # If they send us a graft before they send us a subscribe, what should # we do? For now, we add them to mesh but don't add them to gossipsub. if topic in g.topics: if g.mesh.peers(topic) < g.parameters.dHigh or peer.outbound: # In the spec, there's no mention of DHi here, but implicitly, a # peer will be removed from the mesh on next rebalance, so we don't want # this peer to push someone else out if g.mesh.addPeer(topic, peer): g.grafted(peer, topic) g.fanout.removePeer(topic, peer) else: trace "peer already in mesh", peer, topic else: trace "pruning grafting peer, mesh full", peer, topic, score = peer.score, mesh = g.mesh.peers(topic) result.add(ControlPrune( topicID: topic, peers: g.peerExchangeList(topic), backoff: g.parameters.pruneBackoff.seconds.uint64)) else: trace "peer grafting topic we're not interested in", peer, topic # gossip 1.1, we do not send a control message prune anymore proc handlePrune*(g: GossipSub, peer: PubSubPeer, prunes: seq[ControlPrune]) {.raises: [Defect].} = for prune in prunes: let topic = prune.topicID trace "peer pruned topic", peer, topic # add peer backoff if prune.backoff > 0: let # avoid overflows and follow params # worst case if the remote thinks we are wrong we get penalized # but we won't end up with ghost peers backoffSeconds = clamp( prune.backoff + BackoffSlackTime, 0'u64, g.parameters.pruneBackoff.seconds.uint64 + BackoffSlackTime ) backoff = Moment.fromNow(backoffSeconds.int64.seconds) current = g.backingOff.getOrDefault(topic).getOrDefault(peer.peerId) if backoff > current: g.backingOff .mgetOrPut(topic, initTable[PeerID, Moment]())[peer.peerId] = backoff trace "pruning rpc received peer", peer, score = peer.score g.pruned(peer, topic) g.mesh.removePeer(topic, peer) # TODO peer exchange, we miss ambient peer discovery in libp2p, so we are blocked by that # another option could be to implement signed peer records ## if peer.score > g.parameters.gossipThreshold and prunes.peers.len > 0: proc handleIHave*(g: GossipSub, peer: PubSubPeer, ihaves: seq[ControlIHave]): ControlIWant {.raises: [Defect].} = if peer.score < g.parameters.gossipThreshold: trace "ihave: ignoring low score peer", peer, score = peer.score elif peer.iHaveBudget <= 0: trace "ihave: ignoring out of budget peer", peer, score = peer.score else: # TODO review deduplicate algorithm # * https://github.com/nim-lang/Nim/blob/5f46474555ee93306cce55342e81130c1da79a42/lib/pure/collections/sequtils.nim#L184 # * it's probably not efficient and might give preference to the first dupe let deIhaves = ihaves.deduplicate() for ihave in deIhaves: trace "peer sent ihave", peer, topic = ihave.topicID, msgs = ihave.messageIDs if ihave.topicID in g.mesh: # also avoid duplicates here! let deIhavesMsgs = ihave.messageIDs.deduplicate() for msgId in deIhavesMsgs: if not g.hasSeen(msgId): if peer.iHaveBudget > 0: result.messageIDs.add(msgId) dec peer.iHaveBudget else: return # shuffling result.messageIDs before sending it out to increase the likelihood # of getting an answer if the peer truncates the list due to internal size restrictions. shuffle(result.messageIDs) proc handleIWant*(g: GossipSub, peer: PubSubPeer, iwants: seq[ControlIWant]): seq[Message] {.raises: [Defect].} = if peer.score < g.parameters.gossipThreshold: trace "iwant: ignoring low score peer", peer, score = peer.score elif peer.iWantBudget <= 0: trace "iwant: ignoring out of budget peer", peer, score = peer.score else: let deIwants = iwants.deduplicate() for iwant in deIwants: let deIwantsMsgs = iwant.messageIDs.deduplicate() for mid in deIwantsMsgs: trace "peer sent iwant", peer, messageID = mid let msg = g.mcache.get(mid) if msg.isSome: # avoid spam if peer.iWantBudget > 0: result.add(msg.get()) dec peer.iWantBudget else: return proc commitMetrics(metrics: var MeshMetrics) {.raises: [Defect].} = libp2p_gossipsub_low_peers_topics.set(metrics.lowPeersTopics) libp2p_gossipsub_no_peers_topics.set(metrics.noPeersTopics) libp2p_gossipsub_under_dout_topics.set(metrics.underDoutTopics) libp2p_gossipsub_healthy_peers_topics.set(metrics.healthyPeersTopics) libp2p_gossipsub_peers_per_topic_gossipsub.set(metrics.otherPeersPerTopicGossipsub, labelValues = ["other"]) libp2p_gossipsub_peers_per_topic_fanout.set(metrics.otherPeersPerTopicFanout, labelValues = ["other"]) libp2p_gossipsub_peers_per_topic_mesh.set(metrics.otherPeersPerTopicMesh, labelValues = ["other"]) proc rebalanceMesh*(g: GossipSub, topic: string, metrics: ptr MeshMetrics = nil) {.raises: [Defect].} = logScope: topic mesh = g.mesh.peers(topic) gossipsub = g.gossipsub.peers(topic) trace "rebalancing mesh" # create a mesh topic that we're subscribing to var prunes, grafts: seq[PubSubPeer] npeers = g.mesh.peers(topic) if npeers < g.parameters.dLow: trace "replenishing mesh", peers = npeers # replenish the mesh if we're below Dlo var candidates = toSeq( g.gossipsub.getOrDefault(topic, initHashSet[PubSubPeer]()) - g.mesh.getOrDefault(topic, initHashSet[PubSubPeer]()) ).filterIt( it.connected and # avoid negative score peers it.score >= 0.0 and # don't pick explicit peers it.peerId notin g.parameters.directPeers and # and avoid peers we are backing off it.peerId notin g.backingOff.getOrDefault(topic) ) # shuffle anyway, score might be not used shuffle(candidates) # sort peers by score, high score first since we graft candidates.sort(byScore, SortOrder.Descending) # Graft peers so we reach a count of D candidates.setLen(min(candidates.len, g.parameters.d - npeers)) trace "grafting", grafting = candidates.len if candidates.len > 0: for peer in candidates: if g.mesh.addPeer(topic, peer): g.grafted(peer, topic) g.fanout.removePeer(topic, peer) grafts &= peer else: trace "replenishing mesh outbound quota", peers = g.mesh.peers(topic) var candidates = toSeq( g.gossipsub.getOrDefault(topic, initHashSet[PubSubPeer]()) - g.mesh.getOrDefault(topic, initHashSet[PubSubPeer]()) ).filterIt( it.connected and # get only outbound ones it.outbound and # avoid negative score peers it.score >= 0.0 and # don't pick explicit peers it.peerId notin g.parameters.directPeers and # and avoid peers we are backing off it.peerId notin g.backingOff.getOrDefault(topic) ) # shuffle anyway, score might be not used shuffle(candidates) # sort peers by score, high score first, we are grafting candidates.sort(byScore, SortOrder.Descending) # Graft peers so we reach a count of D candidates.setLen(min(candidates.len, g.parameters.dOut)) trace "grafting outbound peers", topic, peers = candidates.len for peer in candidates: if g.mesh.addPeer(topic, peer): g.grafted(peer, topic) g.fanout.removePeer(topic, peer) grafts &= peer # get again npeers after possible grafts npeers = g.mesh.peers(topic) if npeers > g.parameters.dHigh: if not isNil(metrics): if g.knownTopics.contains(topic): libp2p_gossipsub_above_dhigh_condition.inc(labelValues = [topic]) else: libp2p_gossipsub_above_dhigh_condition.inc(labelValues = ["other"]) # prune peers if we've gone over Dhi prunes = toSeq(try: g.mesh[topic] except KeyError: raiseAssert "have peers") # avoid pruning peers we are currently grafting in this heartbeat prunes.keepIf do (x: PubSubPeer) -> bool: x notin grafts # shuffle anyway, score might be not used shuffle(prunes) # sort peers by score (inverted), pruning, so low score peers are on top prunes.sort(byScore, SortOrder.Ascending) # keep high score peers if prunes.len > g.parameters.dScore: prunes.setLen(prunes.len - g.parameters.dScore) # collect inbound/outbound info var outbound: seq[PubSubPeer] var inbound: seq[PubSubPeer] for peer in prunes: if peer.outbound: outbound &= peer else: inbound &= peer let meshOutbound = prunes.countIt(it.outbound) maxOutboundPrunes = meshOutbound - g.parameters.dOut # ensure that there are at least D_out peers first and rebalance to g.d after that outbound.setLen(min(outbound.len, max(0, maxOutboundPrunes))) # concat remaining outbound peers prunes = inbound & outbound let pruneLen = prunes.len - g.parameters.d if pruneLen > 0: # Ok we got some peers to prune, # for this heartbeat let's prune those shuffle(prunes) prunes.setLen(pruneLen) trace "pruning", prunes = prunes.len for peer in prunes: trace "pruning peer on rebalance", peer, score = peer.score g.pruned(peer, topic) g.mesh.removePeer(topic, peer) # opportunistic grafting, by spec mesh should not be empty... if g.mesh.peers(topic) > 1: var peers = toSeq(try: g.mesh[topic] except KeyError: raiseAssert "have peers") # grafting so high score has priority peers.sort(byScore, SortOrder.Descending) let medianIdx = peers.len div 2 let median = peers[medianIdx] if median.score < g.parameters.opportunisticGraftThreshold: trace "median score below opportunistic threshold", score = median.score var avail = toSeq( g.gossipsub.getOrDefault(topic, initHashSet[PubSubPeer]()) - g.mesh.getOrDefault(topic, initHashSet[PubSubPeer]()) ) avail.keepIf do (x: PubSubPeer) -> bool: # avoid negative score peers x.score >= median.score and # don't pick explicit peers x.peerId notin g.parameters.directPeers and # and avoid peers we are backing off x.peerId notin g.backingOff.getOrDefault(topic) # by spec, grab only 2 if avail.len > 2: avail.setLen(2) for peer in avail: if g.mesh.addPeer(topic, peer): g.grafted(peer, topic) grafts &= peer trace "opportunistic grafting", peer if not isNil(metrics): npeers = g.mesh.peers(topic) if npeers == 0: inc metrics[].noPeersTopics elif npeers < g.parameters.dLow: inc metrics[].lowPeersTopics else: inc metrics[].healthyPeersTopics var meshPeers = toSeq(g.mesh.getOrDefault(topic, initHashSet[PubSubPeer]())) meshPeers.keepIf do (x: PubSubPeer) -> bool: x.outbound if meshPeers.len < g.parameters.dOut: inc metrics[].underDoutTopics if g.knownTopics.contains(topic): libp2p_gossipsub_peers_per_topic_gossipsub .set(g.gossipsub.peers(topic).int64, labelValues = [topic]) libp2p_gossipsub_peers_per_topic_fanout .set(g.fanout.peers(topic).int64, labelValues = [topic]) libp2p_gossipsub_peers_per_topic_mesh .set(g.mesh.peers(topic).int64, labelValues = [topic]) else: metrics[].otherPeersPerTopicGossipsub += g.gossipsub.peers(topic).int64 metrics[].otherPeersPerTopicFanout += g.fanout.peers(topic).int64 metrics[].otherPeersPerTopicMesh += g.mesh.peers(topic).int64 trace "mesh balanced" # Send changes to peers after table updates to avoid stale state if grafts.len > 0: let graft = RPCMsg(control: some(ControlMessage(graft: @[ControlGraft(topicID: topic)]))) g.broadcast(grafts, graft) if prunes.len > 0: let prune = RPCMsg(control: some(ControlMessage( prune: @[ControlPrune( topicID: topic, peers: g.peerExchangeList(topic), backoff: g.parameters.pruneBackoff.seconds.uint64)]))) g.broadcast(prunes, prune) proc dropFanoutPeers*(g: GossipSub) {.raises: [Defect].} = # drop peers that we haven't published to in # GossipSubFanoutTTL seconds let now = Moment.now() var drops: seq[string] for topic, val in g.lastFanoutPubSub: if now > val: g.fanout.del(topic) drops.add topic trace "dropping fanout topic", topic for topic in drops: g.lastFanoutPubSub.del topic proc replenishFanout*(g: GossipSub, topic: string) {.raises: [Defect].} = ## get fanout peers for a topic logScope: topic trace "about to replenish fanout" if g.fanout.peers(topic) < g.parameters.dLow: trace "replenishing fanout", peers = g.fanout.peers(topic) for peer in g.gossipsub.getOrDefault(topic): if g.fanout.addPeer(topic, peer): if g.fanout.peers(topic) == g.parameters.d: break trace "fanout replenished with peers", peers = g.fanout.peers(topic) proc getGossipPeers*(g: GossipSub): Table[PubSubPeer, ControlMessage] {.raises: [Defect].} = ## gossip iHave messages to peers ## var cacheWindowSize = 0 trace "getting gossip peers (iHave)" let topics = toHashSet(toSeq(g.mesh.keys)) + toHashSet(toSeq(g.fanout.keys)) for topic in topics: if topic notin g.gossipsub: trace "topic not in gossip array, skipping", topicID = topic continue let mids = g.mcache.window(topic) if not(mids.len > 0): continue var midsSeq = toSeq(mids) cacheWindowSize += midsSeq.len # not in spec # similar to rust: https://github.com/sigp/rust-libp2p/blob/f53d02bc873fef2bf52cd31e3d5ce366a41d8a8c/protocols/gossipsub/src/behaviour.rs#L2101 # and go https://github.com/libp2p/go-libp2p-pubsub/blob/08c17398fb11b2ab06ca141dddc8ec97272eb772/gossipsub.go#L582 if midsSeq.len > IHaveMaxLength: shuffle(midsSeq) midsSeq.setLen(IHaveMaxLength) let ihave = ControlIHave(topicID: topic, messageIDs: midsSeq) mesh = g.mesh.getOrDefault(topic) fanout = g.fanout.getOrDefault(topic) gossipPeers = mesh + fanout var allPeers = toSeq(g.gossipsub.getOrDefault(topic)) allPeers.keepIf do (x: PubSubPeer) -> bool: x.peerId notin g.parameters.directPeers and x notin gossipPeers and x.score >= g.parameters.gossipThreshold var target = g.parameters.dLazy let factor = (g.parameters.gossipFactor.float * allPeers.len.float).int if factor > target: target = min(factor, allPeers.len) if target < allPeers.len: shuffle(allPeers) allPeers.setLen(target) for peer in allPeers: result.mGetOrPut(peer, ControlMessage()).ihave.add(ihave) libp2p_gossipsub_cache_window_size.set(cacheWindowSize.int64) proc onHeartbeat(g: GossipSub) {.raises: [Defect].} = # reset IWANT budget # reset IHAVE cap block: for peer in g.peers.values: peer.iWantBudget = IWantPeerBudget peer.iHaveBudget = IHavePeerBudget g.updateScores() var meshMetrics = MeshMetrics() for t in toSeq(g.topics.keys): # remove expired backoffs block: handleBackingOff(g.backingOff, t) # prune every negative score peer # do this before relance # in order to avoid grafted -> pruned in the same cycle let meshPeers = g.mesh.getOrDefault(t) var prunes: seq[PubSubPeer] for peer in meshPeers: if peer.score < 0.0: trace "pruning negative score peer", peer, score = peer.score g.pruned(peer, t) g.mesh.removePeer(t, peer) prunes &= peer if prunes.len > 0: let prune = RPCMsg(control: some(ControlMessage( prune: @[ControlPrune( topicID: t, peers: g.peerExchangeList(t), backoff: g.parameters.pruneBackoff.seconds.uint64)]))) g.broadcast(prunes, prune) # pass by ptr in order to both signal we want to update metrics # and as well update the struct for each topic during this iteration g.rebalanceMesh(t, addr meshMetrics) commitMetrics(meshMetrics) g.dropFanoutPeers() # replenish known topics to the fanout for t in toSeq(g.fanout.keys): g.replenishFanout(t) let peers = g.getGossipPeers() for peer, control in peers: # only ihave from here for ihave in control.ihave: if g.knownTopics.contains(ihave.topicID): libp2p_pubsub_broadcast_ihave.inc(labelValues = [ihave.topicID]) else: libp2p_pubsub_broadcast_ihave.inc(labelValues = ["generic"]) g.send(peer, RPCMsg(control: some(control))) g.mcache.shift() # shift the cache # {.pop.} # raises [Defect] proc heartbeat*(g: GossipSub) {.async.} = while g.heartbeatRunning: trace "running heartbeat", instance = cast[int](g) g.onHeartbeat() for trigger in g.heartbeatEvents: trace "firing heartbeat event", instance = cast[int](g) trigger.fire() await sleepAsync(g.parameters.heartbeatInterval)