def get_correlations(user, paths, group_by, start, end, sort, window_size,
thresholds, use_cache = True):
finder = CorrelationFinder(user, paths, group_by = group_by, start = start,
end = end, sort = sort, window_size = window_size,
thresholds = thresholds, use_cache = use_cache)
correlations = [correlation.json_filter()
for correlation in finder.get_correlations()]
return json.dumps(correlations)
def run(self):
# Do we have the required datastreams to run this correlation?
if set(self.required_aspects).issubset(self.available_datastreams):
# Okay, now let's look for some correlations!
finder = CorrelationFinder(self.user, self.paths,
window_size = self.window_size, thresholds = self.thresholds,
use_cache = self.use_cache)
self.correlations = finder.get_correlations()
def run(self):
# Do we have the required datastreams to run this correlation?
if set(self.required_aspects).issubset(self.available_datastreams):
# Okay, now let's look for some correlations!
finder = CorrelationFinder(self.user,
self.paths,
window_size=self.window_size,
thresholds=self.thresholds,
use_cache=self.use_cache)
self.correlations = finder.get_correlations()
def get_correlations(user,
paths,
group_by,
start,
end,
sort,
window_size,
thresholds,
use_cache=True):
finder = CorrelationFinder(user,
paths,
group_by=group_by,
start=start,
end=end,
sort=sort,
window_size=window_size,
thresholds=thresholds,
use_cache=use_cache)
correlations = [
correlation.json_filter() for correlation in finder.get_correlations()
]
return json.dumps(correlations)
