def _test_graph(self, pgCreator, socketListeners=1):
if isinstance(pgCreator, basestring):
pgCreator = "test.graphsRepository.%s" % (pgCreator)
task = FinishGraphExecution(pgCreator=pgCreator)
sch = scheduler.CentralPlannerScheduler()
w = worker.Worker(scheduler=sch)
w.add(task)
# Start executing the SocketListenerApps so they open their ports
def startSocketListeners(drop):
if isinstance(drop, SocketListenerApp):
threading.Thread(target=lambda drop: drop.execute(), args=(drop,)).start()
droputils.breadFirstTraverse(task.roots, startSocketListeners)
# Write to the initial nodes of the graph to trigger the graph execution
for i in xrange(socketListeners):
threading.Thread(
target=utils.writeToRemotePort, name="socketWriter", args=("localhost", 1111 + i, test_data, 2)
).start()
# Run the graph! Luigi will either monitor or execute the DROPs
w.run()
w.stop()
# ... but at the end all the nodes of the graph should be completed
# and should exist
droputils.breadFirstTraverse(
task.roots,
lambda drop: self.assertTrue(
drop.isCompleted() and drop.exists(), "%s is not COMPLETED or doesn't exist" % (drop.uid)
),
)
def _test_graph(self, pgCreator, socketListeners=1):
if isinstance(pgCreator, six.string_types):
pgCreator = "test.graphsRepository.%s" % (pgCreator)
task = FinishGraphExecution(pgCreator=pgCreator)
sch = scheduler.CentralPlannerScheduler()
w = worker.Worker(scheduler=sch)
w.add(task)
# Start executing the SocketListenerApps so they open their ports
for drop, _ in droputils.breadFirstTraverse(task.roots):
if isinstance(drop, SocketListenerApp):
threading.Thread(target=lambda drop: drop.execute(),
args=(drop, )).start()
# Write to the initial nodes of the graph to trigger the graph execution
for i in range(socketListeners):
threading.Thread(target=utils.write_to,
name='socketWriter',
args=("localhost", 1111 + i, test_data,
2)).start()
# Run the graph! Luigi will either monitor or execute the DROPs
w.run()
w.stop()
# ... but at the end all the nodes of the graph should be completed
# and should exist
for drop, _ in droputils.breadFirstTraverse(task.roots):
self.assertTrue(
drop.isCompleted() and drop.exists(),
"%s is not COMPLETED or doesn't exist" % (drop.uid))
def testBreadthFirstSearch(self):
"""
Checks that our BFS method is correct
"""
a, b, c, d, e, f, g, h, i, j = self._createGraph()
nodesList = []
droputils.breadFirstTraverse(a, lambda n: nodesList.append(n))
self.assertListEqual(nodesList, [a, b, c, d, e, f, g, h, i, j])
pass
def test_BFSWithFiltering(self):
"""
Checks that the BFS works if the given function does filtering on the
downstream DROPs.
"""
a, _, c, _, e, _, _, h, _, j = self._createGraph()
visitedNodes = []
def filtering(drop, downStreamDrops):
downStreamDrops[:] = [x for x in downStreamDrops if x.uid not in ('b','f')]
visitedNodes.append(drop)
droputils.breadFirstTraverse(a, filtering)
self.assertEquals(5, len(visitedNodes))
self.assertListEqual(visitedNodes, [a,c,e,h,j])
def deploySession(self, sessionId, completedDrops=[]):
session = self._sessions[sessionId]
session.deploy(completedDrops=completedDrops)
roots = session.roots
# We register the new DROPs with the DLM if there is one
if self._dlm:
if logger.isEnabledFor(logging.DEBUG):
logger.debug("Registering new DROPs with the DataLifecycleManager")
droputils.breadFirstTraverse(roots, lambda drop: self._dlm.addDrop(drop))
# Finally, we also collect the Pyro URIs of our DROPs and return them
uris = {}
droputils.breadFirstTraverse(roots, lambda drop: uris.__setitem__(drop.uid, drop.uri))
return uris
def testBreadthFirstSearch(self):
"""
Checks that our BFS method is correct
"""
a, b, c, d, e, f, g, h, i, j = self._createGraph()
nodesList = [drop for drop, _ in droputils.breadFirstTraverse(a)]
self.assertListEqual([a, b, c, d, e, f, g, h, i, j], nodesList)
def trigger_drops(self, uids):
for drop,downStreamDrops in droputils.breadFirstTraverse(self._roots):
downStreamDrops[:] = [dsDrop for dsDrop in downStreamDrops if isinstance(dsDrop, AbstractDROP)]
if drop.uid in uids:
if isinstance(drop, InputFiredAppDROP):
drop.async_execute()
else:
drop.setCompleted()
def getGraphStatus(self):
if self.status not in (SessionStates.RUNNING, SessionStates.FINISHED):
raise Exception("The session is currently not running, cannot get graph status")
statusDict = collections.defaultdict(dict)
# We shouldn't traverse the full graph because there might be nodes
# attached to our DROPs that are actually part of other DM (and have been
# wired together by the DIM after deploying each individual graph on
# each of the DMs).
# We recognize such nodes because they are actually not an instance of
# AbstractDROP (they are Pyro4.Proxy instances).
#
# The same trick is used in luigi_int.RunDROPTask.requires
def addToDict(drop, downStreamDrops):
downStreamDrops[:] = [dsDrop for dsDrop in downStreamDrops if isinstance(dsDrop, AbstractDROP)]
if isinstance(drop, AppDROP):
statusDict[drop.oid]['execStatus'] = drop.execStatus
statusDict[drop.oid]['status'] = drop.status
droputils.breadFirstTraverse(self._roots, addToDict)
return statusDict
def test_BFSWithFiltering(self):
"""
Checks that the BFS works if the given function does filtering on the
downstream DROPs.
"""
a, _, c, _, e, _, _, h, _, j = self._createGraph()
visitedNodes = []
for drop, downStreamDrops in droputils.breadFirstTraverse(a):
downStreamDrops[:] = [
x for x in downStreamDrops if x.uid not in ('b', 'f')
]
visitedNodes.append(drop)
self.assertEqual(5, len(visitedNodes))
self.assertListEqual(visitedNodes, [a, c, e, h, j])
def getGraphStatus(self):
if self.status not in (SessionStates.RUNNING, SessionStates.FINISHED):
raise InvalidSessionState("The session is currently not running, cannot get graph status")
# We shouldn't traverse the full graph because there might be nodes
# attached to our DROPs that are actually part of other DM (and have been
# wired together by the DIM after deploying each individual graph on
# each of the DMs).
# We recognize such nodes because they are actually not an instance of
# AbstractDROP (they are DropProxy instances).
#
# The same trick is used in luigi_int.RunDROPTask.requires
statusDict = collections.defaultdict(dict)
for drop, downStreamDrops in droputils.breadFirstTraverse(self._roots):
downStreamDrops[:] = [dsDrop for dsDrop in downStreamDrops if isinstance(dsDrop, AbstractDROP)]
if isinstance(drop, AppDROP):
statusDict[drop.oid]['execStatus'] = drop.execStatus
statusDict[drop.oid]['status'] = drop.status
return statusDict
def deploy(self, completedDrops=[], foreach=None):
"""
Creates the DROPs represented by all the graph specs contained in
this session, effectively deploying them.
When this method has finished executing a Pyro Daemon will also be
up and running, servicing requests to access to all the DROPs
belonging to this session
"""
status = self.status
if status != SessionStates.BUILDING:
raise InvalidSessionState("Can't deploy this session in its current status: %d" % (status))
self.status = SessionStates.DEPLOYING
# Create the real DROPs from the graph specs
logger.info("Creating DROPs for session %s", self._sessionId)
self._roots = graph_loader.createGraphFromDropSpecList(self._graph.values())
logger.info("%d drops successfully created", len(self._graph))
for drop,_ in droputils.breadFirstTraverse(self._roots):
# Register them
self._drops[drop.uid] = drop
# Register them with the error handler
if self._error_status_listener:
drop.subscribe(self._error_status_listener, eventType='status')
logger.info("Stored all drops, proceeding with further customization")
# Start the luigi task that will make sure the graph is executed
# If we're not using luigi we still
if self._enable_luigi:
logger.debug("Starting Luigi FinishGraphExecution task for session %s", self._sessionId)
task = luigi_int.FinishGraphExecution(self._sessionId, self._roots)
sch = scheduler.CentralPlannerScheduler()
w = worker.Worker(scheduler=sch)
w.add(task)
workerT = threading.Thread(None, self._run, args=[w])
workerT.daemon = True
workerT.start()
else:
leaves = droputils.getLeafNodes(self._roots)
logger.info("Adding completion listener to leaf drops")
listener = LeavesCompletionListener(leaves, self)
for leaf in leaves:
if isinstance(leaf, AppDROP):
leaf.subscribe(listener, 'producerFinished')
else:
leaf.subscribe(listener, 'dropCompleted')
logger.info("Listener added to leaf drops")
# We move to COMPLETED the DROPs that we were requested to
# InputFiredAppDROP are here considered as having to be executed and
# not directly moved to COMPLETED.
#
# This is done in a separate iteration at the very end because all drops
# to make sure all event listeners are ready
self.trigger_drops(completedDrops)
# Foreach
if foreach:
logger.info("Invoking 'foreach' on each drop")
for drop,_ in droputils.breadFirstTraverse(self._roots):
foreach(drop)
logger.info("'foreach' invoked for each drop")
# Append proxies
logger.info("Creating %d drop proxies", len(self._proxyinfo))
for nm, host, port, local_uid, relname, remote_uid in self._proxyinfo:
proxy = DropProxy(nm, host, port, self._sessionId, remote_uid)
method = getattr(self._drops[local_uid], relname)
method(proxy, False)
self.status = SessionStates.RUNNING
logger.info("Session %s is now RUNNING", self._sessionId)
def deploy(self, completedDrops=[]):
"""
Creates the DROPs represented by all the graph specs contained in
this session, effectively deploying them.
When this method has finished executing a Pyro Daemon will also be
up and running, servicing requests to access to all the DROPs
belonging to this session
"""
status = self.status
if status != SessionStates.BUILDING:
raise Exception("Can't deploy this session in its current status: %d" % (status))
self.status = SessionStates.DEPLOYING
# Create the Pyro daemon that will serve the DROP proxies and start it
if logger.isEnabledFor(logging.DEBUG):
logger.debug("Starting Pyro4 Daemon for session %s" % (self._sessionId))
self._daemon = Pyro4.Daemon(host=self._host)
self._daemonT = threading.Thread(target = lambda: self._daemon.requestLoop(), name="Session %s Pyro Daemon" % (self._sessionId))
self._daemonT.daemon = True
self._daemonT.start()
# Create the real DROPs from the graph specs
if logger.isEnabledFor(logging.DEBUG):
logger.debug("Creating DROPs for session %s" % (self._sessionId))
self._roots = graph_loader.createGraphFromDropSpecList(self._graph.values())
# Register them
droputils.breadFirstTraverse(self._roots, self._registerDrop)
# Register them with the error handler
# TODO: We should probably merge all these breadFirstTraverse calls into
# a single one to avoid so much iteration through the drops
if self._error_status_listener:
def register_error_status_listener(drop):
drop.subscribe(self._error_status_listener, eventType='status')
droputils.breadFirstTraverse(self._roots, register_error_status_listener)
# We move to COMPLETED the DROPs that we were requested to
# InputFiredAppDROP are here considered as having to be executed and
# not directly moved to COMPLETED.
# TODO: We should possibly unify this initial triggering into a more
# solid concept that encompasses these two and other types of DROPs
def triggerDrop(drop):
if drop.uid in completedDrops:
if isinstance(drop, InputFiredAppDROP):
t = threading.Thread(target=lambda:drop.execute())
t.daemon = True
t.start()
else:
drop.setCompleted()
droputils.breadFirstTraverse(self._roots, triggerDrop)
# Start the luigi task that will make sure the graph is executed
# If we're not using luigi we still
if self._enable_luigi:
if logger.isEnabledFor(logging.DEBUG):
logger.debug("Starting Luigi FinishGraphExecution task for session %s" % (self._sessionId))
task = luigi_int.FinishGraphExecution(self._sessionId, self._roots)
sch = scheduler.CentralPlannerScheduler()
w = worker.Worker(scheduler=sch)
w.add(task)
workerT = threading.Thread(None, self._run, args=[w])
workerT.daemon = True
workerT.start()
else:
leaves = droputils.getLeafNodes(self._roots)
logger.debug("Adding completion listener to leaf drops %r", leaves)
listener = LeavesCompletionListener(leaves, self)
for leaf in leaves:
leaf.subscribe(listener, 'dropCompleted')
leaf.subscribe(listener, 'producerFinished')
self.status = SessionStates.RUNNING
if logger.isEnabledFor(logging.INFO):
logger.info("Session %s is now RUNNING" % (self._sessionId))
