forked from LBRYCommunity/lbry-sdk
263 lines
13 KiB
Python
263 lines
13 KiB
Python
#!/usr/bin/env python
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#
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# This library is free software, distributed under the terms of
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# the GNU Lesser General Public License Version 3, or any later version.
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# See the COPYING file included in this archive
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import hashlib
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from twisted.trial import unittest
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import struct
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from twisted.internet import protocol, defer, selectreactor
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from lbrynet.dht.msgtypes import ResponseMessage
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from lbrynet.dht.node import Node
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from lbrynet.dht import constants
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from lbrynet.dht.datastore import DictDataStore
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from lbrynet.dht.routingtable import TreeRoutingTable
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class NodeIDTest(unittest.TestCase):
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""" Test case for the Node class's ID """
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def setUp(self):
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self.node = Node()
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def testAutoCreatedID(self):
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""" Tests if a new node has a valid node ID """
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self.failUnlessEqual(type(self.node.node_id), str, 'Node does not have a valid ID')
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self.failUnlessEqual(len(self.node.node_id), 48, 'Node ID length is incorrect! '
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'Expected 384 bits, got %d bits.' %
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(len(self.node.node_id) * 8))
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def testUniqueness(self):
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""" Tests the uniqueness of the values created by the NodeID generator """
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generatedIDs = []
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for i in range(100):
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newID = self.node._generateID()
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# ugly uniqueness test
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self.failIf(newID in generatedIDs, 'Generated ID #%d not unique!' % (i+1))
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generatedIDs.append(newID)
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def testKeyLength(self):
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""" Tests the key Node ID key length """
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for i in range(20):
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id = self.node._generateID()
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# Key length: 20 bytes == 160 bits
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self.failUnlessEqual(len(id), 48,
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'Length of generated ID is incorrect! Expected 384 bits, '
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'got %d bits.' % (len(id)*8))
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class NodeDataTest(unittest.TestCase):
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""" Test case for the Node class's data-related functions """
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def setUp(self):
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h = hashlib.sha384()
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h.update('test')
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self.node = Node()
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self.contact = self.node.contact_manager.make_contact(h.digest(), '127.0.0.1', 12345, self.node._protocol)
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self.token = self.node.make_token(self.contact.compact_ip())
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self.cases = []
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for i in xrange(5):
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h.update(str(i))
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self.cases.append((h.digest(), 5000+2*i))
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self.cases.append((h.digest(), 5001+2*i))
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@defer.inlineCallbacks
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def testStore(self):
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""" Tests if the node can store (and privately retrieve) some data """
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for key, port in self.cases:
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yield self.node.store(self.contact, key, self.token, port, self.contact.id)
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for key, value in self.cases:
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expected_result = self.contact.compact_ip() + str(struct.pack('>H', value)) + \
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self.contact.id
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self.failUnless(self.node._dataStore.hasPeersForBlob(key),
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'Stored key not found in node\'s DataStore: "%s"' % key)
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self.failUnless(expected_result in self.node._dataStore.getPeersForBlob(key),
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'Stored val not found in node\'s DataStore: key:"%s" port:"%s" %s'
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% (key, value, self.node._dataStore.getPeersForBlob(key)))
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class NodeContactTest(unittest.TestCase):
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""" Test case for the Node class's contact management-related functions """
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def setUp(self):
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self.node = Node()
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@defer.inlineCallbacks
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def testAddContact(self):
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""" Tests if a contact can be added and retrieved correctly """
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# Create the contact
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h = hashlib.sha384()
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h.update('node1')
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contactID = h.digest()
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contact = self.node.contact_manager.make_contact(contactID, '127.0.0.1', 91824, self.node._protocol)
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# Now add it...
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yield self.node.addContact(contact)
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# ...and request the closest nodes to it using FIND_NODE
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closestNodes = self.node._routingTable.findCloseNodes(contactID, constants.k)
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self.failUnlessEqual(len(closestNodes), 1, 'Wrong amount of contacts returned; '
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'expected 1, got %d' % len(closestNodes))
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self.failUnless(contact in closestNodes, 'Added contact not found by issueing '
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'_findCloseNodes()')
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@defer.inlineCallbacks
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def testAddSelfAsContact(self):
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""" Tests the node's behaviour when attempting to add itself as a contact """
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# Create a contact with the same ID as the local node's ID
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contact = self.node.contact_manager.make_contact(self.node.node_id, '127.0.0.1', 91824, None)
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# Now try to add it
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yield self.node.addContact(contact)
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# ...and request the closest nodes to it using FIND_NODE
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closestNodes = self.node._routingTable.findCloseNodes(self.node.node_id,
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constants.k)
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self.failIf(contact in closestNodes, 'Node added itself as a contact')
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# class FakeRPCProtocol(protocol.DatagramProtocol):
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# def __init__(self):
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# self.reactor = selectreactor.SelectReactor()
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# self.testResponse = None
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# self.network = None
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#
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# def createNetwork(self, contactNetwork):
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# """
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# set up a list of contacts together with their closest contacts
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# @param contactNetwork: a sequence of tuples, each containing a contact together with its
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# closest contacts: C{(<contact>, <closest contact 1, ...,closest contact n>)}
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# """
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# self.network = contactNetwork
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#
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# def sendRPC(self, contact, method, args, rawResponse=False):
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# """ Fake RPC protocol; allows entangled.kademlia.contact.Contact objects to "send" RPCs"""
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#
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# h = hashlib.sha384()
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# h.update('rpcId')
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# rpc_id = h.digest()[:20]
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#
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# if method == "findNode":
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# # get the specific contacts closest contacts
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# closestContacts = []
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# closestContactsList = []
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# for contactTuple in self.network:
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# if contact == contactTuple[0]:
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# # get the list of closest contacts for this contact
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# closestContactsList = contactTuple[1]
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# # Pack the closest contacts into a ResponseMessage
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# for closeContact in closestContactsList:
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# closestContacts.append((closeContact.id, closeContact.address, closeContact.port))
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#
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# message = ResponseMessage(rpc_id, contact.id, closestContacts)
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# df = defer.Deferred()
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# df.callback((message, (contact.address, contact.port)))
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# return df
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# elif method == "findValue":
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# for contactTuple in self.network:
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# if contact == contactTuple[0]:
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# # Get the data stored by this remote contact
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# dataDict = contactTuple[2]
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# dataKey = dataDict.keys()[0]
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# data = dataDict.get(dataKey)
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# # Check if this contact has the requested value
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# if dataKey == args[0]:
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# # Return the data value
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# response = dataDict
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# print "data found at contact: " + contact.id
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# else:
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# # Return the closest contact to the requested data key
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# print "data not found at contact: " + contact.id
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# closeContacts = contactTuple[1]
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# closestContacts = []
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# for closeContact in closeContacts:
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# closestContacts.append((closeContact.id, closeContact.address,
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# closeContact.port))
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# response = closestContacts
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#
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# # Create the response message
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# message = ResponseMessage(rpc_id, contact.id, response)
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# df = defer.Deferred()
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# df.callback((message, (contact.address, contact.port)))
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# return df
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#
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# def _send(self, data, rpcID, address):
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# """ fake sending data """
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#
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#
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# class NodeLookupTest(unittest.TestCase):
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# """ Test case for the Node class's iterativeFind node lookup algorithm """
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#
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# def setUp(self):
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# # create a fake protocol to imitate communication with other nodes
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# self._protocol = FakeRPCProtocol()
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# # Note: The reactor is never started for this test. All deferred calls run sequentially,
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# # since there is no asynchronous network communication
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# # create the node to be tested in isolation
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# h = hashlib.sha384()
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# h.update('node1')
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# node_id = str(h.digest())
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# self.node = Node(node_id, 4000, None, None, self._protocol)
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# self.updPort = 81173
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# self.contactsAmount = 80
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# # Reinitialise the routing table
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# self.node._routingTable = TreeRoutingTable(self.node.node_id)
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#
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# # create 160 bit node ID's for test purposes
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# self.testNodeIDs = []
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# idNum = int(self.node.node_id.encode('hex'), 16)
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# for i in range(self.contactsAmount):
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# # create the testNodeIDs in ascending order, away from the actual node ID,
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# # with regards to the distance metric
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# self.testNodeIDs.append(str("%X" % (idNum + i + 1)).decode('hex'))
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#
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# # generate contacts
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# self.contacts = []
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# for i in range(self.contactsAmount):
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# contact = self.node.contact_manager.make_contact(self.testNodeIDs[i], "127.0.0.1",
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# self.updPort + i + 1, self._protocol)
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# self.contacts.append(contact)
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#
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# # create the network of contacts in format: (contact, closest contacts)
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# contactNetwork = ((self.contacts[0], self.contacts[8:15]),
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# (self.contacts[1], self.contacts[16:23]),
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# (self.contacts[2], self.contacts[24:31]),
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# (self.contacts[3], self.contacts[32:39]),
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# (self.contacts[4], self.contacts[40:47]),
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# (self.contacts[5], self.contacts[48:55]),
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# (self.contacts[6], self.contacts[56:63]),
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# (self.contacts[7], self.contacts[64:71]),
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# (self.contacts[8], self.contacts[72:79]),
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# (self.contacts[40], self.contacts[41:48]),
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# (self.contacts[41], self.contacts[41:48]),
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# (self.contacts[42], self.contacts[41:48]),
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# (self.contacts[43], self.contacts[41:48]),
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# (self.contacts[44], self.contacts[41:48]),
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# (self.contacts[45], self.contacts[41:48]),
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# (self.contacts[46], self.contacts[41:48]),
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# (self.contacts[47], self.contacts[41:48]),
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# (self.contacts[48], self.contacts[41:48]),
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# (self.contacts[50], self.contacts[0:7]),
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# (self.contacts[51], self.contacts[8:15]),
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# (self.contacts[52], self.contacts[16:23]))
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#
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# contacts_with_datastores = []
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#
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# for contact_tuple in contactNetwork:
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# contacts_with_datastores.append((contact_tuple[0], contact_tuple[1],
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# DictDataStore()))
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# self._protocol.createNetwork(contacts_with_datastores)
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#
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# # @defer.inlineCallbacks
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# # def testNodeBootStrap(self):
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# # """ Test bootstrap with the closest possible contacts """
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# # # Set the expected result
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# # expectedResult = {item.id for item in self.contacts[0:8]}
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# #
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# # activeContacts = yield self.node._iterativeFind(self.node.node_id, self.contacts[0:8])
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# #
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# # # Check the length of the active contacts
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# # self.failUnlessEqual(activeContacts.__len__(), expectedResult.__len__(),
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# # "More active contacts should exist, there should be %d "
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# # "contacts but there are %d" % (len(expectedResult),
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# # len(activeContacts)))
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# #
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# # # Check that the received active contacts are the same as the input contacts
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# # self.failUnlessEqual({contact.id for contact in activeContacts}, expectedResult,
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# # "Active should only contain the closest possible contacts"
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# # " which were used as input for the boostrap")
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