def report(datalogger, datestring):
# get data, from datalogger, or dataloggerhelper
starttime = time.time()
tsa = datalogger.load_tsa(datestring)
print "Duration load %f" % (time.time() - starttime)
starttime = time.time()
tsa3 = datalogger.group_by(datestring, tsa, ("hostname", ), lambda a,b: (a + b) / 2)
print "Duration group_by %f" % (time.time() - starttime)
starttime = time.time()
# tsa_test = tsa.slice(("cpu.used.summation", ))
cma = CorrelationMatrixArray(tsa3)
print "Duration CorrelationMatrix %f" % (time.time() - starttime)
starttime = time.time()
cma.dump(open("/tmp/correlation.json", "wb"))
cma2 = cma.load(open("/tmp/correlation.json", "rb"))
assert cma == cma2
cma3 = datalogger.load_correlationmatrix(datestring)
# matrix = get_correlating(tsa3, "cpu.used.summation")
matrix = cma3["cpu.used.summation"]
for key in matrix.keys():
print str(key) + "\t" + "\t".join(("%0.2f" % matrix[key, otherkey] for otherkey in matrix.keys()))
def load(filehandle):
cma = CorrelationMatrixArray.__new__(CorrelationMatrixArray)
data = json.load(filehandle)
cma.__data = dict(((key, CorrelationMatrix.loads(data)) for key, data in data.items()))
return cma
