lbry-sdk/lbrynet/dht/node.py
Lex Berezhny 5520d518b5
DHT py3 compatibility, mostly commenting out implements() and fixing imports
cryptstream py3 support, mostly commenting out implements()
lbry_file py3 support, mostly commenting out implements()
file_manager py3 support, mostly commenting out implements()
core py3 support, mostly commenting out implements() and fixing imports
2018-08-24 11:37:25 -04:00

697 lines
30 KiB
Python

#!/usr/bin/env python
#
# This library is free software, distributed under the terms of
# the GNU Lesser General Public License Version 3, or any later version.
# See the COPYING file included in this archive
#
# The docstrings in this module contain epytext markup; API documentation
# may be created by processing this file with epydoc: http://epydoc.sf.net
import binascii
import hashlib
import struct
import logging
from twisted.internet import defer, error, task
from lbrynet.core.utils import generate_id, DeferredDict
from lbrynet.core.call_later_manager import CallLaterManager
from lbrynet.core.PeerManager import PeerManager
from .error import TimeoutError
from . import constants
from . import routingtable
from . import datastore
from . import protocol
from .peerfinder import DHTPeerFinder
from .contact import ContactManager
from .iterativefind import iterativeFind
log = logging.getLogger(__name__)
def expand_peer(compact_peer_info):
host = ".".join([str(ord(d)) for d in compact_peer_info[:4]])
port, = struct.unpack('>H', compact_peer_info[4:6])
peer_node_id = compact_peer_info[6:]
return (peer_node_id, host, port)
def rpcmethod(func):
""" Decorator to expose Node methods as remote procedure calls
Apply this decorator to methods in the Node class (or a subclass) in order
to make them remotely callable via the DHT's RPC mechanism.
"""
func.rpcmethod = True
return func
class MockKademliaHelper(object):
def __init__(self, clock=None, callLater=None, resolve=None, listenUDP=None):
if not listenUDP or not resolve or not callLater or not clock:
from twisted.internet import reactor
listenUDP = listenUDP or reactor.listenUDP
resolve = resolve or reactor.resolve
callLater = callLater or reactor.callLater
clock = clock or reactor
self.clock = clock
self.contact_manager = ContactManager(self.clock.seconds)
self.reactor_listenUDP = listenUDP
self.reactor_resolve = resolve
self.call_later_manager = CallLaterManager(callLater)
self.reactor_callLater = self.call_later_manager.call_later
self.reactor_callSoon = self.call_later_manager.call_soon
self._listeningPort = None # object implementing Twisted
# IListeningPort This will contain a deferred created when
# joining the network, to enable publishing/retrieving
# information from the DHT as soon as the node is part of the
# network (add callbacks to this deferred if scheduling such
# operations before the node has finished joining the network)
def get_looping_call(self, fn, *args, **kwargs):
lc = task.LoopingCall(fn, *args, **kwargs)
lc.clock = self.clock
return lc
def safe_stop_looping_call(self, lc):
if lc and lc.running:
return lc.stop()
return defer.succeed(None)
def safe_start_looping_call(self, lc, t):
if lc and not lc.running:
lc.start(t)
class Node(MockKademliaHelper):
""" Local node in the Kademlia network
This class represents a single local node in a Kademlia network; in other
words, this class encapsulates an Entangled-using application's "presence"
in a Kademlia network.
In Entangled, all interactions with the Kademlia network by a client
application is performed via this class (or a subclass).
"""
def __init__(self, node_id=None, udpPort=4000, dataStore=None,
routingTableClass=None, networkProtocol=None,
externalIP=None, peerPort=3333, listenUDP=None,
callLater=None, resolve=None, clock=None, peer_finder=None,
peer_manager=None, interface='', externalUDPPort=None):
"""
@param dataStore: The data store to use. This must be class inheriting
from the C{DataStore} interface (or providing the
same API). How the data store manages its data
internally is up to the implementation of that data
store.
@type dataStore: entangled.kademlia.datastore.DataStore
@param routingTable: The routing table class to use. Since there exists
some ambiguity as to how the routing table should be
implemented in Kademlia, a different routing table
may be used, as long as the appropriate API is
exposed. This should be a class, not an object,
in order to allow the Node to pass an
auto-generated node ID to the routingtable object
upon instantiation (if necessary).
@type routingTable: entangled.kademlia.routingtable.RoutingTable
@param networkProtocol: The network protocol to use. This can be
overridden from the default to (for example)
change the format of the physical RPC messages
being transmitted.
@type networkProtocol: entangled.kademlia.protocol.KademliaProtocol
@param externalIP: the IP at which this node can be contacted
@param peerPort: the port at which this node announces it has a blob for
"""
MockKademliaHelper.__init__(self, clock, callLater, resolve, listenUDP)
self.node_id = node_id or self._generateID()
self.port = udpPort
self._listen_interface = interface
self._change_token_lc = self.get_looping_call(self.change_token)
self._refresh_node_lc = self.get_looping_call(self._refreshNode)
self._refresh_contacts_lc = self.get_looping_call(self._refreshContacts)
# Create k-buckets (for storing contacts)
if routingTableClass is None:
self._routingTable = routingtable.TreeRoutingTable(self.node_id, self.clock.seconds)
else:
self._routingTable = routingTableClass(self.node_id, self.clock.seconds)
# Initialize this node's network access mechanisms
if networkProtocol is None:
self._protocol = protocol.KademliaProtocol(self)
else:
self._protocol = networkProtocol
# Initialize the data storage mechanism used by this node
self.token_secret = self._generateID()
self.old_token_secret = None
self.externalIP = externalIP
self.peerPort = peerPort
self.externalUDPPort = externalUDPPort or self.port
self._dataStore = dataStore or datastore.DictDataStore(self.clock.seconds)
self.peer_manager = peer_manager or PeerManager()
self.peer_finder = peer_finder or DHTPeerFinder(self, self.peer_manager)
self._join_deferred = None
def __del__(self):
log.warning("unclean shutdown of the dht node")
if hasattr(self, "_listeningPort") and self._listeningPort is not None:
self._listeningPort.stopListening()
@defer.inlineCallbacks
def stop(self):
# stop LoopingCalls:
yield self.safe_stop_looping_call(self._refresh_node_lc)
yield self.safe_stop_looping_call(self._change_token_lc)
yield self.safe_stop_looping_call(self._refresh_contacts_lc)
if self._listeningPort is not None:
yield self._listeningPort.stopListening()
self._listeningPort = None
def start_listening(self):
if not self._listeningPort:
try:
self._listeningPort = self.reactor_listenUDP(self.port, self._protocol,
interface=self._listen_interface)
except error.CannotListenError as e:
import traceback
log.error("Couldn't bind to port %d. %s", self.port, traceback.format_exc())
raise ValueError("%s lbrynet may already be running." % str(e))
else:
log.warning("Already bound to port %s", self._listeningPort)
@defer.inlineCallbacks
def joinNetwork(self, known_node_addresses=(('jack.lbry.tech', 4455), )):
"""
Attempt to join the dht, retry every 30 seconds if unsuccessful
:param known_node_addresses: [(str, int)] list of hostnames and ports for known dht seed nodes
"""
self._join_deferred = defer.Deferred()
known_node_resolution = {}
@defer.inlineCallbacks
def _resolve_seeds():
result = {}
for host, port in known_node_addresses:
node_address = yield self.reactor_resolve(host)
result[(host, port)] = node_address
defer.returnValue(result)
if not known_node_resolution:
known_node_resolution = yield _resolve_seeds()
# we are one of the seed nodes, don't add ourselves
if (self.externalIP, self.port) in known_node_resolution.itervalues():
del known_node_resolution[(self.externalIP, self.port)]
known_node_addresses.remove((self.externalIP, self.port))
def _ping_contacts(contacts):
d = DeferredDict({contact: contact.ping() for contact in contacts}, consumeErrors=True)
d.addErrback(lambda err: err.trap(TimeoutError))
return d
@defer.inlineCallbacks
def _initialize_routing():
bootstrap_contacts = []
contact_addresses = {(c.address, c.port): c for c in self.contacts}
for (host, port), ip_address in known_node_resolution.iteritems():
if (host, port) not in contact_addresses:
# Create temporary contact information for the list of addresses of known nodes
# The contact node id will be set with the responding node id when we initialize it to None
contact = self.contact_manager.make_contact(None, ip_address, port, self._protocol)
bootstrap_contacts.append(contact)
else:
for contact in self.contacts:
if contact.address == ip_address and contact.port == port:
if not contact.id:
bootstrap_contacts.append(contact)
break
if not bootstrap_contacts:
log.warning("no bootstrap contacts to ping")
ping_result = yield _ping_contacts(bootstrap_contacts)
shortlist = ping_result.keys()
if not shortlist:
log.warning("failed to ping %i bootstrap contacts", len(bootstrap_contacts))
defer.returnValue(None)
else:
# find the closest peers to us
closest = yield self._iterativeFind(self.node_id, shortlist if not self.contacts else None)
yield _ping_contacts(closest)
# # query random hashes in our bucket key ranges to fill or split them
# random_ids_in_range = self._routingTable.getRefreshList()
# while random_ids_in_range:
# yield self.iterativeFindNode(random_ids_in_range.pop())
defer.returnValue(None)
@defer.inlineCallbacks
def _iterative_join(joined_d=None, last_buckets_with_contacts=None):
log.info("Attempting to join the DHT network, %i contacts known so far", len(self.contacts))
joined_d = joined_d or defer.Deferred()
yield _initialize_routing()
buckets_with_contacts = self.bucketsWithContacts()
if last_buckets_with_contacts and last_buckets_with_contacts == buckets_with_contacts:
if not joined_d.called:
joined_d.callback(True)
elif buckets_with_contacts < 4:
self.reactor_callLater(0, _iterative_join, joined_d, buckets_with_contacts)
elif not joined_d.called:
joined_d.callback(None)
yield joined_d
if not self._join_deferred.called:
self._join_deferred.callback(True)
defer.returnValue(None)
yield _iterative_join()
@defer.inlineCallbacks
def start(self, known_node_addresses=None):
""" Causes the Node to attempt to join the DHT network by contacting the
known DHT nodes. This can be called multiple times if the previous attempt
has failed or if the Node has lost all the contacts.
@param known_node_addresses: A sequence of tuples containing IP address
information for existing nodes on the
Kademlia network, in the format:
C{(<ip address>, (udp port>)}
@type known_node_addresses: list
"""
self.start_listening()
yield self._protocol._listening
# TODO: Refresh all k-buckets further away than this node's closest neighbour
yield self.joinNetwork(known_node_addresses or [])
self.start_looping_calls()
def start_looping_calls(self):
self.safe_start_looping_call(self._change_token_lc, constants.tokenSecretChangeInterval)
# Start refreshing k-buckets periodically, if necessary
self.safe_start_looping_call(self._refresh_node_lc, constants.checkRefreshInterval)
self.safe_start_looping_call(self._refresh_contacts_lc, 60)
@property
def contacts(self):
def _inner():
for i in range(len(self._routingTable._buckets)):
for contact in self._routingTable._buckets[i]._contacts:
yield contact
return list(_inner())
def hasContacts(self):
for bucket in self._routingTable._buckets:
if bucket._contacts:
return True
return False
def bucketsWithContacts(self):
return self._routingTable.bucketsWithContacts()
@defer.inlineCallbacks
def storeToContact(self, blob_hash, contact):
try:
token = contact.token
if not token:
find_value_response = yield contact.findValue(blob_hash)
token = find_value_response['token']
contact.update_token(token)
res = yield contact.store(blob_hash, token, self.peerPort, self.node_id, 0)
if res != "OK":
raise ValueError(res)
defer.returnValue(True)
log.debug("Stored %s to %s (%s)", binascii.hexlify(blob_hash), contact.log_id(), contact.address)
except protocol.TimeoutError:
log.debug("Timeout while storing blob_hash %s at %s",
binascii.hexlify(blob_hash), contact.log_id())
except ValueError as err:
log.error("Unexpected response: %s" % err.message)
except Exception as err:
log.error("Unexpected error while storing blob_hash %s at %s: %s",
binascii.hexlify(blob_hash), contact, err)
defer.returnValue(False)
@defer.inlineCallbacks
def announceHaveBlob(self, blob_hash):
contacts = yield self.iterativeFindNode(blob_hash)
if not self.externalIP:
raise Exception("Cannot determine external IP: %s" % self.externalIP)
stored_to = yield DeferredDict({contact: self.storeToContact(blob_hash, contact) for contact in contacts})
contacted_node_ids = map(
lambda contact: contact.id.encode('hex'), filter(lambda contact: stored_to[contact], stored_to.keys())
)
log.debug("Stored %s to %i of %i attempted peers", binascii.hexlify(blob_hash),
len(contacted_node_ids), len(contacts))
defer.returnValue(contacted_node_ids)
def change_token(self):
self.old_token_secret = self.token_secret
self.token_secret = self._generateID()
def make_token(self, compact_ip):
h = hashlib.new('sha384')
h.update(self.token_secret + compact_ip)
return h.digest()
def verify_token(self, token, compact_ip):
h = hashlib.new('sha384')
h.update(self.token_secret + compact_ip)
if self.old_token_secret and not token == h.digest(): # TODO: why should we be accepting the previous token?
h = hashlib.new('sha384')
h.update(self.old_token_secret + compact_ip)
if not token == h.digest():
return False
return True
def iterativeFindNode(self, key):
""" The basic Kademlia node lookup operation
Call this to find a remote node in the P2P overlay network.
@param key: the n-bit key (i.e. the node or value ID) to search for
@type key: str
@return: This immediately returns a deferred object, which will return
a list of k "closest" contacts (C{kademlia.contact.Contact}
objects) to the specified key as soon as the operation is
finished.
@rtype: twisted.internet.defer.Deferred
"""
return self._iterativeFind(key)
@defer.inlineCallbacks
def iterativeFindValue(self, key, exclude=None):
""" The Kademlia search operation (deterministic)
Call this to retrieve data from the DHT.
@param key: the n-bit key (i.e. the value ID) to search for
@type key: str
@return: This immediately returns a deferred object, which will return
either one of two things:
- If the value was found, it will return a Python
dictionary containing the searched-for key (the C{key}
parameter passed to this method), and its associated
value, in the format:
C{<str>key: <str>data_value}
- If the value was not found, it will return a list of k
"closest" contacts (C{kademlia.contact.Contact} objects)
to the specified key
@rtype: twisted.internet.defer.Deferred
"""
if len(key) != constants.key_bits / 8:
raise ValueError("invalid key length!")
# Execute the search
find_result = yield self._iterativeFind(key, rpc='findValue', exclude=exclude)
if isinstance(find_result, dict):
# We have found the value; now see who was the closest contact without it...
# ...and store the key/value pair
pass
else:
# The value wasn't found, but a list of contacts was returned
# Now, see if we have the value (it might seem wasteful to search on the network
# first, but it ensures that all values are properly propagated through the
# network
if self._dataStore.hasPeersForBlob(key):
# Ok, we have the value locally, so use that
# Send this value to the closest node without it
peers = self._dataStore.getPeersForBlob(key)
find_result = {key: peers}
else:
pass
expanded_peers = []
if find_result:
if key in find_result:
for peer in find_result[key]:
expanded = expand_peer(peer)
if expanded not in expanded_peers:
expanded_peers.append(expanded)
# TODO: get this working
# if 'closestNodeNoValue' in find_result:
# closest_node_without_value = find_result['closestNodeNoValue']
# try:
# response, address = yield closest_node_without_value.findValue(key, rawResponse=True)
# yield closest_node_without_value.store(key, response.response['token'], self.peerPort)
# except TimeoutError:
# pass
defer.returnValue(expanded_peers)
def addContact(self, contact):
""" Add/update the given contact; simple wrapper for the same method
in this object's RoutingTable object
@param contact: The contact to add to this node's k-buckets
@type contact: kademlia.contact.Contact
"""
return self._routingTable.addContact(contact)
def removeContact(self, contact):
""" Remove the contact with the specified node ID from this node's
table of known nodes. This is a simple wrapper for the same method
in this object's RoutingTable object
@param contact: The Contact object to remove
@type contact: _Contact
"""
self._routingTable.removeContact(contact)
def findContact(self, contactID):
""" Find a entangled.kademlia.contact.Contact object for the specified
cotact ID
@param contactID: The contact ID of the required Contact object
@type contactID: str
@return: Contact object of remote node with the specified node ID,
or None if the contact was not found
@rtype: twisted.internet.defer.Deferred
"""
try:
contact = self._routingTable.getContact(contactID)
df = defer.Deferred()
df.callback(contact)
except (ValueError, IndexError):
def parseResults(nodes):
node_ids = [c.id for c in nodes]
if contactID in nodes:
contact = nodes[node_ids.index(contactID)]
return contact
else:
return None
df = self.iterativeFindNode(contactID)
df.addCallback(parseResults)
return df
@rpcmethod
def ping(self):
""" Used to verify contact between two Kademlia nodes
@rtype: str
"""
return 'pong'
@rpcmethod
def store(self, rpc_contact, blob_hash, token, port, originalPublisherID, age):
""" Store the received data in this node's local datastore
@param blob_hash: The hash of the data
@type blob_hash: str
@param token: The token we previously returned when this contact sent us a findValue
@type token: str
@param port: The TCP port the contact is listening on for requests for this blob (the peerPort)
@type port: int
@param originalPublisherID: The node ID of the node that is the publisher of the data
@type originalPublisherID: str
@param age: The relative age of the data (time in seconds since it was
originally published). Note that the original publish time
isn't actually given, to compensate for clock skew between
different nodes.
@type age: int
@rtype: str
"""
if originalPublisherID is None:
originalPublisherID = rpc_contact.id
compact_ip = rpc_contact.compact_ip()
if self.clock.seconds() - self._protocol.started_listening_time < constants.tokenSecretChangeInterval:
pass
elif not self.verify_token(token, compact_ip):
raise ValueError("Invalid token")
if 0 <= port <= 65536:
compact_port = str(struct.pack('>H', port))
else:
raise TypeError('Invalid port')
compact_address = compact_ip + compact_port + rpc_contact.id
now = int(self.clock.seconds())
originallyPublished = now - age
self._dataStore.addPeerToBlob(rpc_contact, blob_hash, compact_address, now, originallyPublished,
originalPublisherID)
return 'OK'
@rpcmethod
def findNode(self, rpc_contact, key):
""" Finds a number of known nodes closest to the node/value with the
specified key.
@param key: the n-bit key (i.e. the node or value ID) to search for
@type key: str
@return: A list of contact triples closest to the specified key.
This method will return C{k} (or C{count}, if specified)
contacts if at all possible; it will only return fewer if the
node is returning all of the contacts that it knows of.
@rtype: list
"""
if len(key) != constants.key_bits / 8:
raise ValueError("invalid contact id length: %i" % len(key))
contacts = self._routingTable.findCloseNodes(key, sender_node_id=rpc_contact.id)
contact_triples = []
for contact in contacts:
contact_triples.append((contact.id, contact.address, contact.port))
return contact_triples
@rpcmethod
def findValue(self, rpc_contact, key):
""" Return the value associated with the specified key if present in
this node's data, otherwise execute FIND_NODE for the key
@param key: The hashtable key of the data to return
@type key: str
@return: A dictionary containing the requested key/value pair,
or a list of contact triples closest to the requested key.
@rtype: dict or list
"""
if len(key) != constants.key_bits / 8:
raise ValueError("invalid blob hash length: %i" % len(key))
response = {
'token': self.make_token(rpc_contact.compact_ip()),
}
if self._protocol._protocolVersion:
response['protocolVersion'] = self._protocol._protocolVersion
# get peers we have stored for this blob
has_other_peers = self._dataStore.hasPeersForBlob(key)
peers = []
if has_other_peers:
peers.extend(self._dataStore.getPeersForBlob(key))
# if we don't have k storing peers to return and we have this hash locally, include our contact information
if len(peers) < constants.k and key in self._dataStore.completed_blobs:
compact_ip = str(
reduce(lambda buff, x: buff + bytearray([int(x)]), self.externalIP.split('.'), bytearray())
)
compact_port = str(struct.pack('>H', self.peerPort))
compact_address = compact_ip + compact_port + self.node_id
peers.append(compact_address)
if peers:
response[key] = peers
else:
response['contacts'] = self.findNode(rpc_contact, key)
return response
def _generateID(self):
""" Generates an n-bit pseudo-random identifier
@return: A globally unique n-bit pseudo-random identifier
@rtype: str
"""
return generate_id()
# from lbrynet.core.utils import profile_deferred
# @profile_deferred()
@defer.inlineCallbacks
def _iterativeFind(self, key, startupShortlist=None, rpc='findNode', exclude=None):
""" The basic Kademlia iterative lookup operation (for nodes/values)
This builds a list of k "closest" contacts through iterative use of
the "FIND_NODE" RPC, or if C{findValue} is set to C{True}, using the
"FIND_VALUE" RPC, in which case the value (if found) may be returned
instead of a list of contacts
@param key: the n-bit key (i.e. the node or value ID) to search for
@type key: str
@param startupShortlist: A list of contacts to use as the starting
shortlist for this search; this is normally
only used when the node joins the network
@type startupShortlist: list
@param rpc: The name of the RPC to issue to remote nodes during the
Kademlia lookup operation (e.g. this sets whether this
algorithm should search for a data value (if
rpc='findValue') or not. It can thus be used to perform
other operations that piggy-back on the basic Kademlia
lookup operation (Entangled's "delete" RPC, for instance).
@type rpc: str
@return: If C{findValue} is C{True}, the algorithm will stop as soon
as a data value for C{key} is found, and return a dictionary
containing the key and the found value. Otherwise, it will
return a list of the k closest nodes to the specified key
@rtype: twisted.internet.defer.Deferred
"""
if len(key) != constants.key_bits / 8:
raise ValueError("invalid key length: %i" % len(key))
if startupShortlist is None:
shortlist = self._routingTable.findCloseNodes(key)
# if key != self.node_id:
# # Update the "last accessed" timestamp for the appropriate k-bucket
# self._routingTable.touchKBucket(key)
if len(shortlist) == 0:
log.warning("This node doesnt know any other nodes")
# This node doesn't know of any other nodes
fakeDf = defer.Deferred()
fakeDf.callback([])
result = yield fakeDf
defer.returnValue(result)
else:
# This is used during the bootstrap process
shortlist = startupShortlist
result = yield iterativeFind(self, shortlist, key, rpc, exclude=exclude)
defer.returnValue(result)
@defer.inlineCallbacks
def _refreshNode(self):
""" Periodically called to perform k-bucket refreshes and data
replication/republishing as necessary """
yield self._refreshRoutingTable()
self._dataStore.removeExpiredPeers()
yield self._refreshStoringPeers()
defer.returnValue(None)
def _refreshContacts(self):
return defer.DeferredList(
[self._protocol._ping_queue.enqueue_maybe_ping(contact, delay=0) for contact in self.contacts]
)
def _refreshStoringPeers(self):
storing_contacts = self._dataStore.getStoringContacts()
return defer.DeferredList(
[self._protocol._ping_queue.enqueue_maybe_ping(contact, delay=0) for contact in storing_contacts]
)
@defer.inlineCallbacks
def _refreshRoutingTable(self):
nodeIDs = self._routingTable.getRefreshList(0, False)
while nodeIDs:
searchID = nodeIDs.pop()
yield self.iterativeFindNode(searchID)
defer.returnValue(None)