V0.6 #852
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@ -2503,8 +2503,6 @@ class MyForm(settingsmixin.SMainWindow):
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for row in queryreturn:
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payload, = row
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objectType = 3
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with shared.objectProcessorQueueSizeLock:
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shared.objectProcessorQueueSize += len(payload)
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shared.objectProcessorQueue.put((objectType,payload))
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def click_pushButtonStatusIcon(self):
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@ -39,10 +39,8 @@ class objectProcessor(threading.Thread):
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"""
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queryreturn = sqlQuery(
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'''SELECT objecttype, data FROM objectprocessorqueue''')
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with shared.objectProcessorQueueSizeLock:
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for row in queryreturn:
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objectType, data = row
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shared.objectProcessorQueueSize += len(data)
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shared.objectProcessorQueue.put((objectType,data))
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sqlExecute('''DELETE FROM objectprocessorqueue''')
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logger.debug('Loaded %s objects from disk into the objectProcessorQueue.' % str(len(queryreturn)))
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@ -70,19 +68,14 @@ class objectProcessor(threading.Thread):
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except Exception as e:
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logger.critical("Critical error within objectProcessorThread: \n%s" % traceback.format_exc())
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with shared.objectProcessorQueueSizeLock:
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shared.objectProcessorQueueSize -= len(data) # We maintain objectProcessorQueueSize so that we will slow down requesting objects if too much data accumulates in the queue.
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if shared.shutdown:
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time.sleep(.5) # Wait just a moment for most of the connections to close
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numberOfObjectsThatWereInTheObjectProcessorQueue = 0
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with SqlBulkExecute() as sql:
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while shared.objectProcessorQueueSize > 1:
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while shared.objectProcessorQueue.curSize > 1:
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objectType, data = shared.objectProcessorQueue.get()
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sql.execute('''INSERT INTO objectprocessorqueue VALUES (?,?)''',
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objectType,data)
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with shared.objectProcessorQueueSizeLock:
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shared.objectProcessorQueueSize -= len(data) # We maintain objectProcessorQueueSize so that we will slow down requesting objects if too much data accumulates in the queue.
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numberOfObjectsThatWereInTheObjectProcessorQueue += 1
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logger.debug('Saved %s objects from the objectProcessorQueue to disk. objectProcessorThread exiting.' % str(numberOfObjectsThatWereInTheObjectProcessorQueue))
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shared.shutdown = 2
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@ -1,4 +1,4 @@
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doTimingAttackMitigation = True
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doTimingAttackMitigation = False
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import errno
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import time
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@ -28,6 +28,7 @@ import traceback
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# Project imports.
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from addresses import *
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from class_objectProcessorQueue import ObjectProcessorQueue
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import highlevelcrypto
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import shared
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#import helper_startup
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@ -50,8 +51,6 @@ sendDataQueues = [] #each sendData thread puts its queue in this list.
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inventory = {} #of objects (like msg payloads and pubkey payloads) Does not include protocol headers (the first 24 bytes of each packet).
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inventoryLock = threading.Lock() #Guarantees that two receiveDataThreads don't receive and process the same message concurrently (probably sent by a malicious individual)
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printLock = threading.Lock()
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objectProcessorQueueSizeLock = threading.Lock()
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objectProcessorQueueSize = 0 # in Bytes. We maintain this to prevent nodes from flooing us with objects which take up too much memory. If this gets too big we'll sleep before asking for further objects.
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appdata = '' #holds the location of the application data storage directory
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statusIconColor = 'red'
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connectedHostsList = {} #List of hosts to which we are connected. Used to guarantee that the outgoingSynSender threads won't connect to the same remote node twice.
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@ -87,8 +86,7 @@ daemon = False
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inventorySets = {1: set()} # key = streamNumer, value = a set which holds the inventory object hashes that we are aware of. This is used whenever we receive an inv message from a peer to check to see what items are new to us. We don't delete things out of it; instead, the singleCleaner thread clears and refills it every couple hours.
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needToWriteKnownNodesToDisk = False # If True, the singleCleaner will write it to disk eventually.
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maximumLengthOfTimeToBotherResendingMessages = 0
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objectProcessorQueue = Queue.Queue(
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) # receiveDataThreads dump objects they hear on the network into this queue to be processed.
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objectProcessorQueue = ObjectProcessorQueue() # receiveDataThreads dump objects they hear on the network into this queue to be processed.
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streamsInWhichIAmParticipating = {}
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# sanity check, prevent doing ridiculous PoW
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@ -397,10 +395,7 @@ def doCleanShutdown():
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global shutdown
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shutdown = 1 #Used to tell proof of work worker threads and the objectProcessorThread to exit.
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broadcastToSendDataQueues((0, 'shutdown', 'no data'))
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with shared.objectProcessorQueueSizeLock:
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data = 'no data'
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shared.objectProcessorQueueSize += len(data)
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objectProcessorQueue.put(('checkShutdownVariable',data))
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objectProcessorQueue.put(('checkShutdownVariable', 'no data'))
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knownNodesLock.acquire()
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UISignalQueue.put(('updateStatusBar','Saving the knownNodes list of peers to disk...'))
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@ -751,11 +746,6 @@ def _checkAndShareMsgWithPeers(data):
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broadcastToSendDataQueues((streamNumber, 'advertiseobject', inventoryHash))
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# Now let's enqueue it to be processed ourselves.
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# If we already have too much data in the queue to be processed, just sleep for now.
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while shared.objectProcessorQueueSize > 120000000:
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time.sleep(2)
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with shared.objectProcessorQueueSizeLock:
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shared.objectProcessorQueueSize += len(data)
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objectProcessorQueue.put((objectType,data))
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def _checkAndShareGetpubkeyWithPeers(data):
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@ -798,11 +788,6 @@ def _checkAndShareGetpubkeyWithPeers(data):
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broadcastToSendDataQueues((streamNumber, 'advertiseobject', inventoryHash))
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# Now let's queue it to be processed ourselves.
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# If we already have too much data in the queue to be processed, just sleep for now.
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while shared.objectProcessorQueueSize > 120000000:
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time.sleep(2)
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with shared.objectProcessorQueueSizeLock:
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shared.objectProcessorQueueSize += len(data)
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objectProcessorQueue.put((objectType,data))
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def _checkAndSharePubkeyWithPeers(data):
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@ -847,11 +832,6 @@ def _checkAndSharePubkeyWithPeers(data):
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# Now let's queue it to be processed ourselves.
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# If we already have too much data in the queue to be processed, just sleep for now.
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while shared.objectProcessorQueueSize > 120000000:
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time.sleep(2)
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with shared.objectProcessorQueueSizeLock:
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shared.objectProcessorQueueSize += len(data)
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objectProcessorQueue.put((objectType,data))
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@ -896,11 +876,6 @@ def _checkAndShareBroadcastWithPeers(data):
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broadcastToSendDataQueues((streamNumber, 'advertiseobject', inventoryHash))
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# Now let's queue it to be processed ourselves.
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# If we already have too much data in the queue to be processed, just sleep for now.
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while shared.objectProcessorQueueSize > 120000000:
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time.sleep(2)
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with shared.objectProcessorQueueSizeLock:
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shared.objectProcessorQueueSize += len(data)
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objectProcessorQueue.put((objectType,data))
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def openKeysFile():
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