lbry-sdk/lbrynet/tests/unit/dht/test_node.py
2018-06-07 15:02:47 -04:00

262 lines
12 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
import hashlib
from twisted.trial import unittest
import struct
from twisted.internet import defer
from lbrynet.dht.node import Node
from lbrynet.dht import constants
class NodeIDTest(unittest.TestCase):
""" Test case for the Node class's ID """
def setUp(self):
self.node = Node()
def testAutoCreatedID(self):
""" Tests if a new node has a valid node ID """
self.failUnlessEqual(type(self.node.node_id), str, 'Node does not have a valid ID')
self.failUnlessEqual(len(self.node.node_id), 48, 'Node ID length is incorrect! '
'Expected 384 bits, got %d bits.' %
(len(self.node.node_id) * 8))
def testUniqueness(self):
""" Tests the uniqueness of the values created by the NodeID generator """
generatedIDs = []
for i in range(100):
newID = self.node._generateID()
# ugly uniqueness test
self.failIf(newID in generatedIDs, 'Generated ID #%d not unique!' % (i+1))
generatedIDs.append(newID)
def testKeyLength(self):
""" Tests the key Node ID key length """
for i in range(20):
id = self.node._generateID()
# Key length: 20 bytes == 160 bits
self.failUnlessEqual(len(id), 48,
'Length of generated ID is incorrect! Expected 384 bits, '
'got %d bits.' % (len(id)*8))
class NodeDataTest(unittest.TestCase):
""" Test case for the Node class's data-related functions """
def setUp(self):
h = hashlib.sha384()
h.update('test')
self.node = Node()
self.contact = self.node.contact_manager.make_contact(h.digest(), '127.0.0.1', 12345, self.node._protocol)
self.token = self.node.make_token(self.contact.compact_ip())
self.cases = []
for i in xrange(5):
h.update(str(i))
self.cases.append((h.digest(), 5000+2*i))
self.cases.append((h.digest(), 5001+2*i))
@defer.inlineCallbacks
def testStore(self):
""" Tests if the node can store (and privately retrieve) some data """
for key, port in self.cases:
yield self.node.store( # pylint: disable=too-many-function-args
self.contact, key, self.token, port, self.contact.id, 0
)
for key, value in self.cases:
expected_result = self.contact.compact_ip() + str(struct.pack('>H', value)) + \
self.contact.id
self.failUnless(self.node._dataStore.hasPeersForBlob(key),
'Stored key not found in node\'s DataStore: "%s"' % key)
self.failUnless(expected_result in self.node._dataStore.getPeersForBlob(key),
'Stored val not found in node\'s DataStore: key:"%s" port:"%s" %s'
% (key, value, self.node._dataStore.getPeersForBlob(key)))
class NodeContactTest(unittest.TestCase):
""" Test case for the Node class's contact management-related functions """
def setUp(self):
self.node = Node()
@defer.inlineCallbacks
def testAddContact(self):
""" Tests if a contact can be added and retrieved correctly """
# Create the contact
h = hashlib.sha384()
h.update('node1')
contactID = h.digest()
contact = self.node.contact_manager.make_contact(contactID, '127.0.0.1', 9182, self.node._protocol)
# Now add it...
yield self.node.addContact(contact)
# ...and request the closest nodes to it using FIND_NODE
closestNodes = self.node._routingTable.findCloseNodes(contactID, constants.k)
self.failUnlessEqual(len(closestNodes), 1, 'Wrong amount of contacts returned; '
'expected 1, got %d' % len(closestNodes))
self.failUnless(contact in closestNodes, 'Added contact not found by issueing '
'_findCloseNodes()')
@defer.inlineCallbacks
def testAddSelfAsContact(self):
""" Tests the node's behaviour when attempting to add itself as a contact """
# Create a contact with the same ID as the local node's ID
contact = self.node.contact_manager.make_contact(self.node.node_id, '127.0.0.1', 9182, None)
# Now try to add it
yield self.node.addContact(contact)
# ...and request the closest nodes to it using FIND_NODE
closestNodes = self.node._routingTable.findCloseNodes(self.node.node_id,
constants.k)
self.failIf(contact in closestNodes, 'Node added itself as a contact')
# class FakeRPCProtocol(protocol.DatagramProtocol):
# def __init__(self):
# self.reactor = selectreactor.SelectReactor()
# self.testResponse = None
# self.network = None
#
# def createNetwork(self, contactNetwork):
# """
# set up a list of contacts together with their closest contacts
# @param contactNetwork: a sequence of tuples, each containing a contact together with its
# closest contacts: C{(<contact>, <closest contact 1, ...,closest contact n>)}
# """
# self.network = contactNetwork
#
# def sendRPC(self, contact, method, args, rawResponse=False):
# """ Fake RPC protocol; allows entangled.kademlia.contact.Contact objects to "send" RPCs"""
#
# h = hashlib.sha384()
# h.update('rpcId')
# rpc_id = h.digest()[:20]
#
# if method == "findNode":
# # get the specific contacts closest contacts
# closestContacts = []
# closestContactsList = []
# for contactTuple in self.network:
# if contact == contactTuple[0]:
# # get the list of closest contacts for this contact
# closestContactsList = contactTuple[1]
# # Pack the closest contacts into a ResponseMessage
# for closeContact in closestContactsList:
# closestContacts.append((closeContact.id, closeContact.address, closeContact.port))
#
# message = ResponseMessage(rpc_id, contact.id, closestContacts)
# df = defer.Deferred()
# df.callback((message, (contact.address, contact.port)))
# return df
# elif method == "findValue":
# for contactTuple in self.network:
# if contact == contactTuple[0]:
# # Get the data stored by this remote contact
# dataDict = contactTuple[2]
# dataKey = dataDict.keys()[0]
# data = dataDict.get(dataKey)
# # Check if this contact has the requested value
# if dataKey == args[0]:
# # Return the data value
# response = dataDict
# print "data found at contact: " + contact.id
# else:
# # Return the closest contact to the requested data key
# print "data not found at contact: " + contact.id
# closeContacts = contactTuple[1]
# closestContacts = []
# for closeContact in closeContacts:
# closestContacts.append((closeContact.id, closeContact.address,
# closeContact.port))
# response = closestContacts
#
# # Create the response message
# message = ResponseMessage(rpc_id, contact.id, response)
# df = defer.Deferred()
# df.callback((message, (contact.address, contact.port)))
# return df
#
# def _send(self, data, rpcID, address):
# """ fake sending data """
#
#
# class NodeLookupTest(unittest.TestCase):
# """ Test case for the Node class's iterativeFind node lookup algorithm """
#
# def setUp(self):
# # create a fake protocol to imitate communication with other nodes
# self._protocol = FakeRPCProtocol()
# # Note: The reactor is never started for this test. All deferred calls run sequentially,
# # since there is no asynchronous network communication
# # create the node to be tested in isolation
# h = hashlib.sha384()
# h.update('node1')
# node_id = str(h.digest())
# self.node = Node(node_id, 4000, None, None, self._protocol)
# self.updPort = 81173
# self.contactsAmount = 80
# # Reinitialise the routing table
# self.node._routingTable = TreeRoutingTable(self.node.node_id)
#
# # create 160 bit node ID's for test purposes
# self.testNodeIDs = []
# idNum = int(self.node.node_id.encode('hex'), 16)
# for i in range(self.contactsAmount):
# # create the testNodeIDs in ascending order, away from the actual node ID,
# # with regards to the distance metric
# self.testNodeIDs.append(str("%X" % (idNum + i + 1)).decode('hex'))
#
# # generate contacts
# self.contacts = []
# for i in range(self.contactsAmount):
# contact = self.node.contact_manager.make_contact(self.testNodeIDs[i], "127.0.0.1",
# self.updPort + i + 1, self._protocol)
# self.contacts.append(contact)
#
# # create the network of contacts in format: (contact, closest contacts)
# contactNetwork = ((self.contacts[0], self.contacts[8:15]),
# (self.contacts[1], self.contacts[16:23]),
# (self.contacts[2], self.contacts[24:31]),
# (self.contacts[3], self.contacts[32:39]),
# (self.contacts[4], self.contacts[40:47]),
# (self.contacts[5], self.contacts[48:55]),
# (self.contacts[6], self.contacts[56:63]),
# (self.contacts[7], self.contacts[64:71]),
# (self.contacts[8], self.contacts[72:79]),
# (self.contacts[40], self.contacts[41:48]),
# (self.contacts[41], self.contacts[41:48]),
# (self.contacts[42], self.contacts[41:48]),
# (self.contacts[43], self.contacts[41:48]),
# (self.contacts[44], self.contacts[41:48]),
# (self.contacts[45], self.contacts[41:48]),
# (self.contacts[46], self.contacts[41:48]),
# (self.contacts[47], self.contacts[41:48]),
# (self.contacts[48], self.contacts[41:48]),
# (self.contacts[50], self.contacts[0:7]),
# (self.contacts[51], self.contacts[8:15]),
# (self.contacts[52], self.contacts[16:23]))
#
# contacts_with_datastores = []
#
# for contact_tuple in contactNetwork:
# contacts_with_datastores.append((contact_tuple[0], contact_tuple[1],
# DictDataStore()))
# self._protocol.createNetwork(contacts_with_datastores)
#
# # @defer.inlineCallbacks
# # def testNodeBootStrap(self):
# # """ Test bootstrap with the closest possible contacts """
# # # Set the expected result
# # expectedResult = {item.id for item in self.contacts[0:8]}
# #
# # activeContacts = yield self.node._iterativeFind(self.node.node_id, self.contacts[0:8])
# #
# # # Check the length of the active contacts
# # self.failUnlessEqual(activeContacts.__len__(), expectedResult.__len__(),
# # "More active contacts should exist, there should be %d "
# # "contacts but there are %d" % (len(expectedResult),
# # len(activeContacts)))
# #
# # # Check that the received active contacts are the same as the input contacts
# # self.failUnlessEqual({contact.id for contact in activeContacts}, expectedResult,
# # "Active should only contain the closest possible contacts"
# # " which were used as input for the boostrap")