def get_tsa_adv(self, project, tablename, datestring, groupkeys, group_func_name, index_pattern):
"""
get TimeseriesArray object for this particular project/tablename/datestring combination
parameters:
project <str>
tablename <str>
datestring <str>
groupkeys <tuple>
group_func_name <str>
index_pattern <str>
returns:
<TimeseriesArray>
"""
value_keynames = self.get_value_keynames(project, tablename)
ts_keyname = self.get_ts_keyname(project, tablename)
tsa = None
if groupkeys is None:
index_keynames = self.get_index_keynames(project, tablename)
tsa = TimeseriesArray(index_keynames, value_keynames, ts_keyname)
else:
tsa = TimeseriesArray(groupkeys, value_keynames, ts_keyname)
uri_params = OrderedDict()
uri_params["project"] = project
uri_params["tablename"] = tablename
uri_params["datestring"] = datestring
uri_params["groupkey_enc"] = base64.b64encode(unicode(groupkeys))
uri_params["group_func_name"] = group_func_name
uri_params["index_pattern"] = base64.b64encode(unicode(index_pattern))
query_params = {}
data = self.__get_json_chunked("get_tsa_adv", uri_params, query_params)
for row in data:
tsa.add(row)
return tsa
def get_ts(self, project, tablename, datestring, key):
"""
get Timeseries object for this particular project/tablename/datestring/key combination
parameters:
project <str>
tablename <str>
datestring <str>
key <tuple> key to identify particular Timeseries
returns:
<TimeseriesArray>
"""
index_keynames = self.get_index_keynames(project, tablename)
value_keynames = self.get_value_keynames(project, tablename)
ts_keyname = self.get_ts_keyname(project, tablename)
tsa = TimeseriesArray(index_keynames, value_keynames, ts_keyname)
uri_params = {
"project" : project,
"tablename" : tablename,
"datestring" : datestring,
"key" : base64.b64encode(unicode(key)),
}
query_params = {}
data = self.__get_json_chunked("get_ts", uri_params, query_params)
for row in data:
tsa.add(row)
return tsa
def get_tsa(self, project, tablename, datestring):
"""
get TimeseriesArray object for this particular project/tablename/datestring combination
parameters:
project <str>
tablename <str>
datestring <str>
returns:
<TimeseriesArray>
"""
index_keynames = self.get_index_keynames(project, tablename)
value_keynames = self.get_value_keynames(project, tablename)
ts_keyname = self.get_ts_keyname(project, tablename)
tsa = TimeseriesArray(index_keynames, value_keynames, ts_keyname)
uri_params = {
"project" : project,
"tablename" : tablename,
"datestring" : datestring,
}
query_params = {}
data = self.__get_json_chunked("get_tsa", uri_params, query_params)
for row in data:
tsa.add(row)
return tsa
def group_by_local(tsa, datestring, subkeys, group_func, slotlength):
"""
group given tsa by subkeys, and use group_func to aggregate data
first all Timeseries will be aligned in time, got get proper points in time
parameters:
tsa <TimeseriesArray>
subkey <tuple> could also be empty, to aggregate everything
group_func <func>
slotlength <int>
returns:
<TimeseriesArray>
"""
starttime = time.time()
# intermediated tsa
tsa2 = TimeseriesArray(index_keys=subkeys, value_keys=tsa.value_keys, ts_key=tsa.ts_key)
start_ts, stop_ts = datalogger.get_ts_for_datestring(datestring)
#align_timestamp = __gen_align_timestamp(datestring, slotlength)
ts_keyname = tsa.ts_key
for data in tsa.export():
# align timestamo
nearest_slot = round((data[ts_keyname] - start_ts) / slotlength)
data[ts_keyname] = int(start_ts + nearest_slot * slotlength)
#data[ts_keyname] = align_timestamp(data[ts_keyname])
tsa2.group_add(data, group_func)
print("Duration : %f" % (time.time() - starttime))
#print("standardized Timeseries")
#print(tsa2[tsa2.keys()[0]])
#print("Grouping into one single timeseries")
# group by hostname
#tsa3 = TimeseriesArray(index_keys=subkeys, value_keys=tsa.value_keys, ts_key=tsa.ts_key)
#for data in tsa2.export():
# tsa3.group_add(data, group_func)
return tsa2
def read_tsa_full_aligned(datestring, slotlength):
tsa = datalogger.read_tsa_full(datestring, force=False)
print tsa.index_keys, tsa.value_keys, tsa.ts_key
tsa2 = TimeseriesArray(tuple(tsa.index_keys), list(tsa.value_keys), str(tsa.ts_key))
for data in dump_and_align(tsa, slotlength):
tsa2.add(data)
print "new times"
print sorted(tsa2[tsa2.keys()[0]].get_times())
assert tsa != tsa2
assert all(key in tsa2.keys() for key in tsa.keys())
assert len(tsa) == len(tsa2)
return tsa2
def benchmark_load():
# get data, from datalogger, or dataloggerhelper
starttime = time.time()
#tsa = datalogger.read_tsa_full(datestring, force=False)
#print "cPickle import from raw and export every timeseries in %s" % (time.time() - starttime)
print "starting benchmark"
starttime = time.time()
tsa2 = TimeseriesArray.load_from_csv(gzip.open("/tmp/test_tsa.csv.gz", "rb"))
def shootout(datalogger, datestring):
# get data, from datalogger, or dataloggerhelper
tsa = datalogger.read_tsa_full(datestring, force=True)
starttime = time.time()
tsa.dump_to_csv(gzip.open("/tmp/test_tsa.csv.gz", "wb"))
tsa2 = TimeseriesArray.load_from_csv(gzip.open("/tmp/test_tsa.csv.gz", "rb"))
assert tsa == tsa2
print "CSV Export/Import of whole tsa Duration %s" % (time.time() - starttime)
starttime = time.time()
cPickle.dump(tsa, gzip.open("/tmp/test_tsa_cPickle.gz", "wb"))
tsa2 = cPickle.load(gzip.open("/tmp/test_tsa_cPickle.gz", "rb"))
assert tsa == tsa2
print "cPickle Export/Import of whole tsa Duration %s" % (time.time() - starttime)
starttime = time.time()
for key, ts in tsa.items():
filehandle = gzip.open("/tmp/test_ts.csv.gz", "wb")
ts.dump_to_csv(filehandle)
filehandle.close()
filehandle = gzip.open("/tmp/test_ts.csv.gz", "rb")
ts2 = Timeseries.load_from_csv(filehandle)
filehandle.close()
#print ts2
#print ts.ts_keyname, ts2.ts_keyname
#print ts.headers, ts2.headers
#print key, ts == ts2
assert ts == ts2
print "CSV Export/Import Duration %s" % (time.time() - starttime)
starttime = time.time()
for key, ts in tsa.items():
filehandle = gzip.open("/tmp/test1.cPickle.gz", "wb")
cPickle.dump(ts, filehandle)
filehandle.close()
filehandle = gzip.open("/tmp/test1.cPickle.gz", "rb")
ts2 = cPickle.load(filehandle)
filehandle.close()
#print ts2
#print ts.ts_keyname, ts2.ts_keyname
#print ts.headers, ts2.headers
#print key, ts == ts2
assert ts == ts2
print "cPickle Export/Import Duration %s" % (time.time() - starttime)
#keys = tsa.keys()
#for slottime in get_slot_timeline(datestring, 600):
# print slottime, slottime in tsa[keys[0]].get_times()
# #print tuple((tsa[key].get_single_value(slottime, 'hrStorageAllocationFailures') for key in keys))
return
