def Save(self, fd):
"""Generate a histogram object and store in the specified attribute."""
histogram = self.attribute()
for active_time in self.active_days:
graph = stats.Graph(title="%s day actives" % active_time)
for k, v in sorted(self.categories[active_time].items()):
graph.Append(label=k, y_value=v)
histogram.Append(graph)
# Add an additional instance of this histogram (without removing previous
# instances).
fd.AddAttribute(histogram)
def Save(self, cron_flow):
"""Generate a histogram object and store in the specified attribute."""
histograms = {}
for active_time in self.active_days:
for label in self.categories[active_time].keys():
histograms.setdefault(label, self.attribute())
graph = rdfstats.Graph(
title="%s day actives for %s label" % (active_time, label))
for k, v in sorted(self.categories[active_time][label].items()):
graph.Append(label=k, y_value=v)
histograms[label].Append(graph)
for label, histogram in histograms.items():
# Add an additional instance of this histogram (without removing previous
# instances).
cron_flow._StatsForLabel(label).AddAttribute(histogram)
def Layout(self, request, response):
"""Filter the last week of user actions."""
try:
offset = rdfvalue.Duration("7d")
now = rdfvalue.RDFDatetime().Now()
counts = {}
for event in GetAuditLogEntries(offset, now, request.token):
counts.setdefault(event.user, 0)
counts[event.user] += 1
self.graph = rdf_stats.Graph(title="User activity breakdown.")
self.data = []
for user, count in counts.items():
if user not in aff4_users.GRRUser.SYSTEM_USERS:
self.graph.Append(label=user, y_value=count)
self.data.append(dict(label=user, data=count))
except IOError:
pass
return super(MostActiveUsers, self).Layout(request, response)
def PopulateData():
"""Populates data into the stats object."""
token = access_control.ACLToken(username="******", reason="fixture")
with aff4.FACTORY.Create("aff4:/stats/ClientFleetStats/All",
"ClientFleetStats",
token=token) as fd:
now = 1321057655
for i in range(10, 15):
histogram = fd.Schema.OS_HISTOGRAM(age=int(
(now + i * 60 * 60 * 24) * 1e6))
for number in [1, 7, 14, 30]:
graph = rdf_stats.Graph(title="%s day actives" % number)
graph.Append(label="Windows", y_value=i + number)
graph.Append(label="Linux", y_value=i * 2 + number)
histogram.Append(graph)
fd.AddAttribute(histogram)
