def _query(zk):
responses = fire(zk, token, 'info')
return {
key: hints
for key, (_, hints, code) in responses.items()
if code == 200
}
def _query(zk):
responses = fire(zk, '*', 'info')
return {
key: hints['process']
for key, (_, hints, code) in responses.items()
if code == 200
}
def _query(zk):
responses = fire(zk, cluster, 'info')
return {
key:
'%d\t\t%s' % (hints['ports'][port], hints['public'])
for key, (_, hints, code) in responses.items()
if code == 200 and port in hints['ports']
}
def _query(zk):
out = {}
responses = fire(zk, token, 'info')
for pod, (_, hints, code) in responses.items():
if code == 200:
out[pod] = '[%s / %s] @ %s (%s)' % \
(hints['state'], hints['process'], hints['node'], hints['public'])
return len(responses), out
def _query(zk):
#
# - this closure will run in our zookeeper proxy actor
# - in this case we'll HTTP POST a /info query to all our pods (you can use a glob pattern)
# - fire() will figure out where the pods are running from and what their control port is
# - we simply return the number of pods who answered with HTTP 200
# - please note all the I/O is done on parallel for each pod and the outcome aggregated for you
#
responses = fire(zk, '*', 'info')
return sum(1 for key, (_, _, code) in responses.items() if code == 200)
def _query(zk):
responses = fire(zk, cluster, 'info')
return {key: '%d\t\t%s' % (hints['ports'][port], hints['public'])
for key, (_, hints, code) in responses.items() if code == 200 and port in hints['ports']}
def _query(zk):
responses = fire(zk, '*', 'info')
return {key: hints['process'] for key, (_, hints, code) in responses.items() if code == 200}
def _query(zk):
return fire(zk, token, 'control/off')
def _query(zk):
return fire(zk, token, 'reset')
def _query(zk):
return fire(zk, token, 'log')