def report(datalogger, datestring):
# get data, from datalogger, or dataloggerhelper
print "Loading data"
tsa = datalogger.load_tsa(datestring)
print "calculating quantilles"
# tsa_test = tsa.slice(("cpu.used.summation", ))
starttime = time.time()
qa = QuantillesArray(tsa)
print "Duration Quantilles: %f" % (time.time()-starttime)
starttime = time.time()
qa.dump(open("/tmp/test_quantilles.json", "wb"))
print "Duration dump: %f" % (time.time()-starttime)
starttime = time.time()
qa2 = QuantillesArray.load(open("/tmp/test_quantilles.json", "rb"))
print "Duration load: %f" % (time.time()-starttime)
assert qa == qa2
qa3 = datalogger.load_quantilles(datestring)
assert qa3 == qa
print "Output"
print qa2[("srvarthur1.tilak.cc","0")]
#quantilles = Quantilles(tsa, "cpu.used.summation", maxx=None)
quantilles = qa2["cpu.used.summation"]
#quantilles = Quantilles(tsa, "datastore.read.average", maxx=None)
quantilles.sort(2)
print "most demanding CPU Cores"
print quantilles.head(20)
print "least demanding CPU Cores"
print quantilles.tail(20)
def main():
project = "vdi"
tablename = "virtualMachineMemoryStats"
datalogger = DataLogger(BASEDIR, project, tablename)
qa = datalogger.load_quantilles("2016-02-22")
ret_data = []
# build header
ret_data.append(list(datalogger.index_keynames) + ["Q0", "Q1", "Q2", "Q3", "Q4"])
# data part
for k, v in qa["mem.overhead.average"].quantilles.items():
ret_data.append(list(k) + v.values())
print json.dumps(ret_data)
