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 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 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
