# -*- coding: utf-8 -*- # Copyright (C) 2015 Savoir-Faire Linux Inc. # Author(s): Adrien Béraud <adrien.beraud@savoirfairelinux.com> # Simon Désaulniers <sim.desaulniers@gmail.com> import os import threading import random import string import time import subprocess import re from matplotlib.ticker import FuncFormatter import math import numpy as np import matplotlib.pyplot as plt import networkx as nx from opendht import * from dht.network import DhtNetwork, DhtNetworkSubProcess ############ # Common # ############ # matplotlib display format for bits (b, Kb, Mb) bit_format = None Kbit_format = FuncFormatter(lambda x, pos: '%1.1f' % (x*1024**-1) + 'Kb') Mbit_format = FuncFormatter(lambda x, pos: '%1.1f' % (x*1024**-2) + 'Mb') def random_hash(): return InfoHash(''.join(random.SystemRandom().choice(string.hexdigits) for _ in range(40)).encode()) def reset_before_test(featureTestMethod): """ This is a decorator for all test methods needing reset(). @param featureTestMethod: The method to be decorated. All decorated methods must have 'self' object as first arg. @type featureTestMethod: function """ def call(*args, **kwargs): self = args[0] if isinstance(self, FeatureTest): self._reset() return featureTestMethod(*args, **kwargs) return call def display_plot(yvals, xvals=None, yformatter=None, display_time=3, **kwargs): """ Displays a plot of data in interactive mode. This method is made to be called successively for plot refreshing. @param yvals: Ordinate values (float). @type yvals: list @param xvals: Abscissa values (float). @type xvals: list @param yformatter: The matplotlib FuncFormatter to use for y values. @type yformatter: matplotlib.ticker.FuncFormatter @param displaytime: The time matplotlib can take to refresht the plot. @type displaytime: int """ plt.ion() plt.clf() plt.show() if yformatter: plt.axes().yaxis.set_major_formatter(Kbit_format) if xvals: plt.plot(xvals, yvals, **kwargs) else: plt.plot(yvals, **kwargs) plt.pause(display_time) def iftop_traffic_data(ifname, interval=2, rate_type='send_receive'): """ Generator (yields data) function collecting traffic data from iftop subprocess. @param ifname: Interface to listen to. @type ifname: string @param interval: Interval of time between to data collections. Possible values are 2, 10 or 40. @type interval: int @param rates: (default: send_receive) Wether to pick "send", "receive" or "send and receive" rates. Possible values : "send", "receive" and "send_receive". @type rates: string @param _format: Format in which to display data on the y axis. Possible values: Mb, Kb or b. @type _format: string """ # iftop stdout string format SEND_RATE_STR = "Total send rate" RECEIVE_RATE_STR = "Total receive rate" SEND_RECEIVE_RATE_STR = "Total send and receive rate" RATE_STR = { "send" : SEND_RATE_STR, "receive" : RECEIVE_RATE_STR, "send_receive" : SEND_RECEIVE_RATE_STR } TWO_SECONDS_RATE_COL = 0 TEN_SECONDS_RATE_COL = 1 FOURTY_SECONDS_RATE_COL = 2 COLS = { 2 : TWO_SECONDS_RATE_COL, 10 : TEN_SECONDS_RATE_COL, 40 : FOURTY_SECONDS_RATE_COL } FLOAT_REGEX = "[0-9]+[.]*[0-9]*" BIT_REGEX = "[KM]*b" iftop = subprocess.Popen(["iftop", "-i", ifname, "-t"], stdout=subprocess.PIPE, stderr=subprocess.DEVNULL) while True: line = iftop.stdout.readline().decode() if RATE_STR[rate_type] in line: rate, unit = re.findall("("+FLOAT_REGEX+")("+BIT_REGEX+")", line)[COLS[interval]] rate = float(rate) if unit == "Kb": rate *= 1024 elif unit == "Mb": rate *= 1024**2 yield rate ########### # Tests # ########### class FeatureTest(object): """ This is a base test. """ done = 0 lock = None def __init__(self, test, workbench): """ @param test: The test string indicating the test to run. This string is determined in the child classes. @type test: string @param workbench: A WorkBench object to use inside this test. @type workbench: WorkBench """ self._test = test self._workbench = workbench self._bootstrap = self._workbench.get_bootstrap() def _reset(self): """ Resets some static variables. This method is most likely going to be called before each tests. """ FeatureTest.done = 0 FeatureTest.lock = threading.Condition() def run(self): raise NotImplementedError('This method must be implemented.') ################################## # PHT # ################################## class PhtTest(FeatureTest): """TODO """ indexEntries = None prefix = None key = None def __init__(self, test, workbench, opts): """ @param test: is one of the following: - 'insert': indexes a considerable amount of data in the PHT structure. TODO @type test: string @param opts: Dictionnary containing options for the test. Allowed options are: - 'num_keys': this specifies the number of keys to insert in the PHT during the test. @type opts: dict """ super(PhtTest, self).__init__(test, workbench) self._num_keys = opts['num_keys'] if 'num_keys' in opts else 32 def _reset(self): super(PhtTest, self)._reset() PhtTest.indexEntries = [] @staticmethod def lookupCb(vals, prefix): PhtTest.indexEntries = list(vals) PhtTest.prefix = prefix.decode() DhtNetwork.log('Index name: <todo>') DhtNetwork.log('Leaf prefix:', prefix) for v in vals: DhtNetwork.log('[ENTRY]:', v) @staticmethod def lookupDoneCb(ok): DhtNetwork.log('[LOOKUP]:', PhtTest.key, "--", "success!" if ok else "Fail...") with FeatureTest.lock: FeatureTest.lock.notify() @staticmethod def insertDoneCb(ok): DhtNetwork.log('[INSERT]:', PhtTest.key, "--", "success!" if ok else "Fail...") with FeatureTest.lock: FeatureTest.lock.notify() @staticmethod def drawTrie(trie_dict): """ Draws the trie structure of the PHT from dictionnary. @param trie_dict: Dictionnary of index entries (prefix -> entry). @type trie_dict: dict """ prefixes = list(trie_dict.keys()) if len(prefixes) == 0: return edges = set([]) for prefix in prefixes: for i in range(-1, len(prefix)-1): u = prefix[:i+1] edges.add( ("" if i == -1 else u, u+"0") ) edges.add( ("" if i == -1 else u, u+"1") ) # TODO: use a binary tree position layout... G = nx.Graph(list(edges)) nx.draw(G, with_labels=True, node_color='white') plt.show() def run(self): try: if self._test == 'insert': self._insertTest() except Exception as e: print(e) finally: self._bootstrap.resize(1) ########### # Tests # ########### @reset_before_test def _insertTest(self): """TODO: Docstring for _massIndexTest. """ bootstrap = self._bootstrap bootstrap.resize(2) dht = bootstrap.get(1) pht = Pht(b'foo_index', dht) DhtNetwork.log('PHT has', pht.MAX_NODE_ENTRY_COUNT, 'node'+ ('s' if pht.MAX_NODE_ENTRY_COUNT > 1 else ''), 'per leaf bucket.') NUM_DIG = max(math.log(self._num_keys, 2)/4, 5) # at least 5 digit keys. keys = [{ 'foo' : ''.join(random.SystemRandom().choice(string.hexdigits) for _ in range(NUM_DIG)).encode() } for n in range(self._num_keys)] all_entries = {} # Index all entries. for key in keys: PhtTest.key = key with FeatureTest.lock: pht.insert(key, IndexValue(random_hash()), PhtTest.insertDoneCb) FeatureTest.lock.wait() # Recover entries now that the trie is complete. for key in keys: PhtTest.key = key with FeatureTest.lock: pht.lookup(key, PhtTest.lookupCb, PhtTest.lookupDoneCb) FeatureTest.lock.wait() all_entries[PhtTest.prefix] = [e.__str__() for e in PhtTest.indexEntries] for p in all_entries.keys(): DhtNetwork.log('All entries under prefix', p, ':') DhtNetwork.log(all_entries[p]) PhtTest.drawTrie(all_entries) ################################## # DHT # ################################## class DhtFeatureTest(FeatureTest): """ This is a base dht test. """ #static variables used by class callbacks successfullTransfer = lambda lv,fv: len(lv) == len(fv) foreignNodes = None foreignValues = None def __init__(self, test, workbench): super(DhtFeatureTest, self).__init__(test, workbench) def _reset(self): super(DhtFeatureTest, self)._reset() DhtFeatureTest.foreignNodes = [] DhtFeatureTest.foreignValues = [] @staticmethod def getcb(value): vstr = value.__str__()[:100] DhtNetwork.log('[GET]: %s' % vstr + ("..." if len(vstr) > 100 else "")) DhtFeatureTest.foreignValues.append(value) return True @staticmethod def putDoneCb(ok, nodes): if not ok: DhtNetwork.log("[PUT]: failed!") with FeatureTest.lock: FeatureTest.done -= 1 FeatureTest.lock.notify() @staticmethod def getDoneCb(ok, nodes): with FeatureTest.lock: if not ok: DhtNetwork.log("[GET]: failed!") else: for node in nodes: if not node.getNode().isExpired(): DhtFeatureTest.foreignNodes.append(node.getId().toString()) FeatureTest.done -= 1 FeatureTest.lock.notify() def _dhtPut(self, producer, _hash, *values): with FeatureTest.lock: for val in values: vstr = val.__str__()[:100] DhtNetwork.log('[PUT]:', _hash.toString(), '->', vstr + ("..." if len(vstr) > 100 else "")) FeatureTest.done += 1 producer.put(_hash, val, DhtFeatureTest.putDoneCb) while FeatureTest.done > 0: FeatureTest.lock.wait() def _dhtGet(self, consumer, _hash): DhtFeatureTest.foreignValues = [] DhtFeatureTest.foreignNodes = [] with FeatureTest.lock: FeatureTest.done += 1 DhtNetwork.log('[GET]:', _hash.toString()) consumer.get(_hash, DhtFeatureTest.getcb, DhtFeatureTest.getDoneCb) while FeatureTest.done > 0: FeatureTest.lock.wait() def _gottaGetThemAllPokeNodes(self, consumer, hashes, nodes=None): for h in hashes: self._dhtGet(consumer, h) if nodes is not None: for n in DhtFeatureTest.foreignNodes: nodes.add(n) class PersistenceTest(DhtFeatureTest): """ This tests persistence of data on the network. """ def __init__(self, test, workbench, opts): """ @param test: is one of the following: - 'mult_time': test persistence of data based on internal OpenDHT storage maintenance timings. - 'delete': test persistence of data upon deletion of nodes. - 'replace': replacing cluster successively. @type test: string OPTIONS - dump_str_log: Enables storage log at test ending. - keep_alive: Keeps the test running indefinately. This may be useful to manually analyse the network traffic during a longer period. - num_producers: Number of producers of data during a DHT test. - num_values: Number of values to initialize the DHT with. """ # opts super(PersistenceTest, self).__init__(test, workbench) self._traffic_plot = True if 'traffic_plot' in opts else False self._dump_storage = True if 'dump_str_log' in opts else False self._op_plot = True if 'op_plot' in opts else False self._keep_alive = True if 'keep_alive' in opts else False self._num_producers = opts['num_producers'] if 'num_producers' in opts else None self._num_values = opts['num_values'] if 'num_values' in opts else None def _trigger_dp(self, trigger_nodes, _hash, count=1): """ Triggers the data persistence over time. In order to this, `count` nodes are created with an id around the hash of a value. @param trigger_nodes: List of created nodes. The nodes created in this function are append to this list. @type trigger_nodes: list @param _hash: Is the id of the value around which creating nodes. @type _hash: InfoHash @param count: The number of nodes to create with id around the id of value. @type count: int """ _hash_str = _hash.toString().decode() _hash_int = int(_hash_str, 16) for i in range(int(-count/2), int(count/2)+1): _hash_str = '{:40x}'.format(_hash_int + i) config = DhtConfig() config.setNodeId(InfoHash(_hash_str.encode())) n = DhtRunner() n.run(config=config) n.bootstrap(self._bootstrap.ip4, str(self._bootstrap.port)) DhtNetwork.log('Node','['+_hash_str+']', 'started around', _hash.toString().decode() if n.isRunning() else 'failed to start...' ) trigger_nodes.append(n) def _result(self, local_values, new_nodes): bootstrap = self._bootstrap if not DhtFeatureTest.successfullTransfer(local_values, DhtFeatureTest.foreignValues): DhtNetwork.log('[GET]: Only %s on %s values persisted.' % (len(DhtFeatureTest.foreignValues), len(local_values))) else: DhtNetwork.log('[GET]: All values successfully persisted.') if DhtFeatureTest.foreignValues: if new_nodes: DhtNetwork.log('Values are newly found on:') for node in new_nodes: DhtNetwork.log(node) if self._dump_storage: DhtNetwork.log('Dumping all storage log from '\ 'hosting nodes.') for proc in self._workbench.procs: proc.sendNodesRequest(DhtNetworkSubProcess.DUMP_STORAGE_REQ, DhtFeatureTest.foreignNodes) else: DhtNetwork.log("Values didn't reach new hosting nodes after shutdown.") def run(self): try: if self._test == 'normal': self._totallyNormalTest() elif self._test == 'delete': self._deleteTest() elif self._test == 'replace': self._replaceClusterTest() elif self._test == 'mult_time': self._multTimeTest() else: raise NameError("This test is not defined '" + self._test + "'") except Exception as e: print(e) finally: if self._traffic_plot or self._op_plot: plot_fname = "traffic-plot" print('plot saved to', plot_fname) plt.savefig(plot_fname) self._bootstrap.resize(1) ########### # Tests # ########### @reset_before_test def _totallyNormalTest(self): """ Reproduces a network in a realistic state. """ trigger_nodes = [] wb = self._workbench bootstrap = self._bootstrap # Value representing an ICE packet. Each ICE packet is around 1KB. VALUE_SIZE = 1024 NUM_VALUES = self._num_values/wb.node_num if self._num_values else 5 nr_values = NUM_VALUES * wb.node_num nr_nodes = wb.node_num nr_nodes_cv = threading.Condition() values = [b''.join(random.choice(string.hexdigits).encode() for _ in range(VALUE_SIZE)) for __ in range(NUM_VALUES)] hashes = [random_hash() for _ in range(wb.node_num)] # initial set of values i = 0 for h in hashes: self._dhtPut(bootstrap.front(), h, *[Value(v) for v in values]) print("at: ", i) i += 1 def normalBehavior(do, t, log=None): nonlocal nr_values while True: do() time.sleep(random.choice(range(t))) def putRequest(): nonlocal hashes, values, nr_values nr_values += 1 DhtNetwork.log("Random value put on the DHT.", "(now "+ str(nr_values)+" values on the dht)") random.choice(wb.procs).sendNodePutRequest(random.choice(hashes).toString(), random.choice(values)) puts = threading.Thread(target=normalBehavior, args=(putRequest, 30)) puts.daemon = True puts.start() def newNodeRequest(): nonlocal nr_nodes with nr_nodes_cv: nr_nodes += 1 DhtNetwork.log("Node joining the DHT.", "(now "+str(nr_nodes)+" nodes on the dht)") nr_nodes_cv.notify() random.choice(wb.procs).sendNodesRequest(DhtNetworkSubProcess.NEW_NODE_REQ) connections = threading.Thread(target=normalBehavior, args=(newNodeRequest, 1*60)) connections.daemon = True connections.start() def shutdownNodeRequest(): nonlocal nr_nodes with nr_nodes_cv: nr_nodes -= 1 DhtNetwork.log("Node quitting the DHT.", "(now "+str(nr_nodes)+" nodes on the dht)") nr_nodes_cv.notify() random.choice(wb.procs).sendNodesRequest(DhtNetworkSubProcess.SHUTDOWN_NODE_REQ) shutdowns = threading.Thread(target=normalBehavior, args=(shutdownNodeRequest, 1*60)) shutdowns.daemon = True shutdowns.start() for h in hashes: self._trigger_dp(trigger_nodes, h) if self._traffic_plot: ydata = [] xdata = [] # warning: infinite loop interval = 2 for rate in iftop_traffic_data("br"+wb.ifname, interval=interval): ydata.append(rate) xdata.append((xdata[-1] if len(xdata) > 0 else 0) + interval) display_plot(ydata, xvals=xdata, yformatter=Kbit_format, color='blue') else: # blocks in matplotlib thread while True: plt.pause(3600) @reset_before_test def _deleteTest(self): """ It uses Dht shutdown call from the API to gracefuly finish the nodes one after the other. """ bootstrap = self._bootstrap ops_count = [] bootstrap.resize(3) consumer = bootstrap.get(1) producer = bootstrap.get(2) myhash = random_hash() local_values = [Value(b'foo'), Value(b'bar'), Value(b'foobar')] self._dhtPut(producer, myhash, *local_values) #checking if values were transfered self._dhtGet(consumer, myhash) if not DhtFeatureTest.successfullTransfer(local_values, DhtFeatureTest.foreignValues): if DhtFeatureTest.foreignValues: DhtNetwork.log('[GET]: Only ', len(DhtFeatureTest.foreignValues) ,' on ', len(local_values), ' values successfully put.') else: DhtNetwork.log('[GET]: 0 values successfully put') if DhtFeatureTest.foreignValues and DhtFeatureTest.foreignNodes: DhtNetwork.log('Values are found on :') for node in DhtFeatureTest.foreignNodes: DhtNetwork.log(node) for _ in range(max(1, int(self._workbench.node_num/32))): DhtNetwork.log('Removing all nodes hosting target values...') cluster_ops_count = 0 for proc in self._workbench.procs: DhtNetwork.log('[REMOVE]: sending shutdown request to', proc) proc.sendNodesRequest( DhtNetworkSubProcess.SHUTDOWN_NODE_REQ, DhtFeatureTest.foreignNodes ) DhtNetwork.log('sending message stats request') stats = proc.sendGetMessageStats() cluster_ops_count += sum(stats[1:]) DhtNetwork.log("5 seconds wait...") time.sleep(5) ops_count.append(cluster_ops_count/self._workbench.node_num) # checking if values were transfered to new nodes foreignNodes_before_delete = DhtFeatureTest.foreignNodes DhtNetwork.log('[GET]: trying to fetch persistent values') self._dhtGet(consumer, myhash) new_nodes = set(DhtFeatureTest.foreignNodes) - set(foreignNodes_before_delete) self._result(local_values, new_nodes) if self._op_plot: display_plot(ops_count, color='blue') else: DhtNetwork.log("[GET]: either couldn't fetch values or nodes hosting values...") @reset_before_test def _replaceClusterTest(self): """ It replaces all clusters one after the other. """ clusters = 8 bootstrap = self._bootstrap bootstrap.resize(3) consumer = bootstrap.get(1) producer = bootstrap.get(2) myhash = random_hash() local_values = [Value(b'foo'), Value(b'bar'), Value(b'foobar')] self._dhtPut(producer, myhash, *local_values) self._dhtGet(consumer, myhash) initial_nodes = DhtFeatureTest.foreignNodes DhtNetwork.log('Replacing', clusters, 'random clusters successively...') for n in range(clusters): i = random.randint(0, len(self._workbench.procs)-1) proc = self._workbench.procs[i] DhtNetwork.log('Replacing', proc) proc.sendNodesRequest(DhtNetworkSubProcess.SHUTDOWN_CLUSTER_REQ) self._workbench.stop_cluster(i) self._workbench.start_cluster(i) DhtNetwork.log('[GET]: trying to fetch persistent values') self._dhtGet(consumer, myhash) new_nodes = set(DhtFeatureTest.foreignNodes) - set(initial_nodes) self._result(local_values, new_nodes) @reset_before_test def _multTimeTest(self): """ Multiple put() calls are made from multiple nodes to multiple hashes after what a set of 8 nodes is created around each hashes in order to enable storage maintenance each nodes. Therefor, this tests will wait 10 minutes for the nodes to trigger storage maintenance. """ trigger_nodes = [] bootstrap = self._bootstrap N_PRODUCERS = self._num_producers if self._num_values else 16 DP_TIMEOUT = 1 hashes = [] # Generating considerable amount of values of size 1KB. VALUE_SIZE = 1024 NUM_VALUES = self._num_values if self._num_values else 50 values = [Value(''.join(random.choice(string.hexdigits) for _ in range(VALUE_SIZE)).encode()) for _ in range(NUM_VALUES)] bootstrap.resize(N_PRODUCERS+2) consumer = bootstrap.get(N_PRODUCERS+1) producers = (bootstrap.get(n) for n in range(1,N_PRODUCERS+1)) for p in producers: hashes.append(random_hash()) self._dhtPut(p, hashes[-1], *values) once = True while self._keep_alive or once: nodes = set([]) self._gottaGetThemAllPokeNodes(consumer, hashes, nodes=nodes) DhtNetwork.log("Values are found on:") for n in nodes: DhtNetwork.log(n) DhtNetwork.log("Creating 8 nodes around all of these hashes...") for _hash in hashes: self._trigger_dp(trigger_nodes, _hash, count=8) DhtNetwork.log('Waiting', DP_TIMEOUT+1, 'minutes for normal storage maintenance.') time.sleep((DP_TIMEOUT+1)*60) DhtNetwork.log('Deleting old nodes from previous search.') for proc in self._workbench.procs: DhtNetwork.log('[REMOVE]: sending delete request to', proc) proc.sendNodesRequest( DhtNetworkSubProcess.REMOVE_NODE_REQ, nodes) # new consumer (fresh cache) bootstrap.resize(N_PRODUCERS+1) bootstrap.resize(N_PRODUCERS+2) consumer = bootstrap.get(N_PRODUCERS+1) nodes_after_time = set([]) self._gottaGetThemAllPokeNodes(consumer, hashes, nodes=nodes_after_time) self._result(values, nodes_after_time - nodes) once = False class PerformanceTest(DhtFeatureTest): """ Tests for general performance of dht operations. """ def __init__(self, test, workbench, opts): """ @param test: is one of the following: - 'gets': multiple get operations and statistical results. - 'delete': perform multiple put() operations followed by targeted deletion of nodes hosting the values. Doing so until half of the nodes on the network remain. @type test: string """ super(PerformanceTest, self).__init__(test, workbench) def run(self): try: if self._test == 'gets': self._getsTimesTest() elif self._test == 'delete': self._delete() else: raise NameError("This test is not defined '" + self._test + "'") except Exception as e: print(e) finally: self._bootstrap.resize(1) ########### # Tests # ########### @reset_before_test def _getsTimesTest(self): """ Tests for performance of the DHT doing multiple get() operation. """ bootstrap = self._bootstrap plt.ion() fig, axes = plt.subplots(2, 1) fig.tight_layout() lax = axes[0] hax = axes[1] lines = None#ax.plot([]) #plt.ylabel('time (s)') hax.set_ylim(0, 2) # let the network stabilise plt.pause(20) #start = time.time() times = [] lock = threading.Condition() done = 0 def getcb(v): nonlocal bootstrap DhtNetwork.log("found", v) return True def donecb(ok, nodes, start): nonlocal bootstrap, lock, done, times t = time.time()-start with lock: if not ok: DhtNetwork.log("failed !") times.append(t) done -= 1 lock.notify() def update_plot(): nonlocal lines while lines: l = lines.pop() l.remove() del l if len(times) > 1: n, bins, lines = hax.hist(times, 100, normed=1, histtype='stepfilled', color='g') hax.set_ylim(min(n), max(n)) lines.extend(lax.plot(times, color='blue')) plt.draw() def run_get(): nonlocal done done += 1 start = time.time() bootstrap.front().get(InfoHash.getRandom(), getcb, lambda ok, nodes: donecb(ok, nodes, start)) plt.pause(5) plt.show() update_plot() times = [] for n in range(10): self._workbench.replace_cluster() plt.pause(2) DhtNetwork.log("Getting 50 random hashes succesively.") for i in range(50): with lock: for _ in range(1): run_get() while done > 0: lock.wait() update_plot() plt.pause(.1) update_plot() print("Took", np.sum(times), "mean", np.mean(times), "std", np.std(times), "min", np.min(times), "max", np.max(times)) print('GET calls timings benchmark test : DONE. ' \ 'Close Matplotlib window for terminating the program.') plt.ioff() plt.show() @reset_before_test def _delete(self): """ Tests for performance of get() and put() operations on the network while deleting around the target hash. """ bootstrap = self._bootstrap bootstrap.resize(3) consumer = bootstrap.get(1) producer = bootstrap.get(2) myhash = random_hash() local_values = [Value(b'foo'), Value(b'bar'), Value(b'foobar')] for _ in range(max(1, int(self._workbench.node_num/32))): self._dhtGet(consumer, myhash) DhtNetwork.log("Waiting 15 seconds...") time.sleep(15) self._dhtPut(producer, myhash, *local_values) #checking if values were transfered self._dhtGet(consumer, myhash) DhtNetwork.log('Values are found on :') for node in DhtFeatureTest.foreignNodes: DhtNetwork.log(node) if not DhtFeatureTest.successfullTransfer(local_values, DhtFeatureTest.foreignValues): if DhtFeatureTest.foreignValues: DhtNetwork.log('[GET]: Only ', len(DhtFeatureTest.foreignValues) ,' on ', len(local_values), ' values successfully put.') else: DhtNetwork.log('[GET]: 0 values successfully put') DhtNetwork.log('Removing all nodes hosting target values...') for proc in self._workbench.procs: DhtNetwork.log('[REMOVE]: sending shutdown request to', proc) proc.sendNodesRequest( DhtNetworkSubProcess.SHUTDOWN_NODE_REQ, DhtFeatureTest.foreignNodes )