def get_variables_filter(self,
gender=None,
name1=None,
value1=None,
name2=None,
value2=None,
var=None):
#db.jerboa_files.distinct( 'values.Var' )
values = jerboa_collection.distinct('values.' + param)
return values
def get_var(self):
values = jerboa_collection.distinct('values.Var')
# Go to the rule matcher and ask for the filter for that particular case
comp = False
if fingerprint_id == "COMPARE":
comp = True
mrules = RuleMatcher(comp=comp)
filters = mrules.get_filter(var)
chart = mrules.get_chart(var)
# Generate the filters here.
for _filter in filters:
# Generate query
dict_query = {
'fingerprint_id': fingerprint_id,
'values.Var': chart.title.var,
}
if comp:
dict_query = {
'values.Var': chart.title.var,
}
if _filter.key != None:
dict_query['values.' + _filter.key] = _filter.name
if comp:
values = jerboa_aggregation_collection.find(dict_query).distinct(
'values.' + _filter.value) #
else:
values = jerboa_collection.find(dict_query).distinct(
'values.' + _filter.value) #
values = sorted(values)
_filter.values = values
return filters
return values
def get_var(self):
values = jerboa_collection.distinct( 'values.Var' )
# Go to the rule matcher and ask for the filter for that particular case
comp = False
if fingerprint_id=="COMPARE":
comp=True
mrules = RuleMatcher(comp=comp)
filters = mrules.get_filter(var)
chart = mrules.get_chart(var)
# Generate the filters here.
for _filter in filters:
# Generate query
dict_query = {'fingerprint_id':fingerprint_id,
'values.Var': chart.title.var,
}
if comp:
dict_query = {'values.Var': chart.title.var,}
if _filter.key != None:
dict_query['values.' + _filter.key] = _filter.name
if comp:
values = jerboa_aggregation_collection.find( dict_query ).distinct('values.' + _filter.value )#
else:
values = jerboa_collection.find( dict_query ).distinct('values.' + _filter.value )#
values = sorted(values)
_filter.values = values
return filters
return values
def get_variables_filter(self, gender=None, name1=None, value1=None, name2=None,
value2=None, var=None):
#db.jerboa_files.distinct( 'values.Var' )
values = jerboa_collection.distinct( 'values.' + param )
return values
