def do_aggregate_scores(self, args = None):
'''[*] aggregate_scores (optional)<filter:weight>\n\t|- aggregates the reputations of all files using the list of filters and weights provided\n\t|- if no list is provided all filters are weighted equally\n\t|-[filter:weight] - optional list of filter IDs and weights\n\t|- weights are a percentage and can range from 0-1 or 0-100'''
print "Aggregating Scores"
ag = Aggregator(self.cnx)
if args and len(args) > 0:
ag.aggregate(filter_list, args)
else:
ag.aggregate(filter_list)
def run(self, agg_weights=None):
print "Running report survey for: " + self.source.source_name
print "... aggregating most recent filter scores"
ag = Aggregator(self.cnx)
ag.aggregate(filter_list, agg_weights)
self.run_filter_survey()
self.generate_report()
def run(self, agg_weights=None):
print "Running report survey for: " + self.source.source_name
print "... aggregating most recent filter scores"
ag = Aggregator(self.cnx)
ag.aggregate(filter_list, agg_weights)
self.run_filter_survey()
self.generate_report()
def do_aggregate_scores(self, line):
'''
aggregate_scores filter_id:weight filter_id:weight ...
Aggregates the reputations of all files using the list of filters and weights provided. If no list is
provided, all filters are weighted equally. The "filter_id" is the numeric id of the filter. The "weight"
is a percentage between 0-100, such that the total of all specified weights is 100.
For example, if you have 3 filters loaded, and you want to aggregate the scores such that the distribution of weights
is 50, 30, 20 respectively, then you would run the following command
Example
aggregate_scores 0:50 1:30 2:20
'''
print "Aggregating Scores"
args = line.split()
ag = Aggregator(self.cnx)
if args and len(args) > 0:
ag.aggregate(filter_list, args)
else:
ag.aggregate(filter_list)