def clientconnector():
"""\ clientconnector() -> returns Graphline
clientconnector is the peer to KPIClient
Keyword arguments: None
"""
return Graphline(authenticator=Authenticator(KPIDBI.getDB("mytree")),
notifier=publishTo("KeyManagement"),
linkages={
("", "inbox"): ("authenticator", "inbox"),
("authenticator", "outbox"): ("", "outbox"),
("authenticator", "notifyuser"):
("notifier", "inbox"),
})
def clientconnector():
"""\ clientconnector() -> returns Graphline
clientconnector is the peer to KPIClient
Keyword arguments: None
"""
return Graphline(
authenticator = Authenticator(KPIDBI.getDB("mytree")),
notifier = publishTo("KeyManagement"),
linkages = {
("","inbox") : ("authenticator","inbox"),
("authenticator","outbox") : ("","outbox"),
("authenticator","notifyuser") : ("notifier","inbox"),
}
)
index = index + 1
class MyDataSink(Axon.Component.component):
""" prints received text
"""
def main(self):
while 1:
yield 1
while self.dataReady("inbox"):
print "datasink received:", self.recv("inbox")
""" client simulation """
"""Create KPIDB instance"""
kpidb = KPIDBI.getDB("mytree")
""" start the KPI server """
KPIServer(MyDataSource(), kpidb.getKPIKeys())
""" client representing user1 connects to the KPI server"""
Graphline(
#c=KPIClient("user1", consoleEchoer()),
c=KPIClient("user1", MyDataSink()),
cc=clientconnector(),
linkages={
("c", "outbox"): ("cc", "inbox"),
("cc", "outbox"): ("c", "inbox"),
}).activate()
""" client representing user3 connects to the KPI server """
Graphline(
#c=KPIClient("user3", consoleEchoer()),
c=KPIClient("user3", MyDataSink()),
class MyDataSink(Axon.Component.component):
""" prints received text
"""
def main(self):
while 1:
yield 1
while self.dataReady("inbox"):
print "datasink received:", self.recv("inbox")
""" client simulation """
"""Create KPIDB instance"""
kpidb = KPIDBI.getDB("mytree")
""" start the KPI server """
KPIServer(MyDataSource(), kpidb.getKPIKeys())
""" client representing user1 connects to the KPI server"""
Graphline(
#c=KPIClient("user1", consoleEchoer()),
c=KPIClient("user1", MyDataSink()),
cc = clientconnector(),
linkages = {
("c","outbox") : ("cc","inbox"),
("cc","outbox") : ("c","inbox"),
}
).activate()
"""
def main(self):
index = 0
while 1:
yield 1
if index % 1000 == 0:
data = str(index) + "-helloknr"
self.send(data, "outbox")
print "data source sent", data
else:
yield 1
index = index + 1
import sys
if __name__=="__main__":
if len(sys.argv) != 3:
print "Usage:", sys.argv[0], "dbfile port"
print "default values used: dbfile=mytree and port=1256"
dbfile = "mytree"
tcpport = 1256
else:
dbfile = sys.argv[1]
tcpport = int(sys.argv[2])
kpidb = KPIDBI.getDB(dbfile)
KPIServer(MyDataSource(), kpidb.getKPIKeys())
server=_SimpleServer(protocol=clientconnector, port=tcpport).activate()
_scheduler.run.runThreads(slowmo=0)
of numbered hello strings
"""
def main(self):
index = 0
while 1:
yield 1
if index % 1000 == 0:
data = str(index) + "-helloknr"
self.send(data, "outbox")
print "data source sent", data
else:
yield 1
index = index + 1
import sys
if __name__ == "__main__":
if len(sys.argv) != 3:
print "Usage:", sys.argv[0], "dbfile port"
print "default values used: dbfile=mytree and port=1256"
dbfile = "mytree"
tcpport = 1256
else:
dbfile = sys.argv[1]
tcpport = int(sys.argv[2])
kpidb = KPIDBI.getDB(dbfile)
KPIServer(MyDataSource(), kpidb.getKPIKeys())
server = _SimpleServer(protocol=clientconnector, port=tcpport).activate()
_scheduler.run.runThreads(slowmo=0)