def test_traffic_overall_time_series_report(self):
columns = [
self.profiler.columns.key.time,
self.profiler.columns.value.avg_bytes,
self.profiler.columns.value.avg_pkts
]
timerange = TimeFilter.parse_range("last 1 h")
trafficexpr = TrafficFilter("host 10/8")
resolution = "15min"
report = TrafficOverallTimeSeriesReport(self.profiler)
report.run(columns, timerange, trafficexpr, resolution=resolution)
legend = report.get_legend()
keys = [c.key for c in legend]
data = report.get_data()
for item in data:
d = dict(zip(keys, item))
# resolution assumes 15-minute responses
self.assertTrue(
timerange.compare_time(d['time'], resolution=15 * 60))
report.delete()
def traffic_report(self, host, timefilter, report_type):
""" Generate average statistics for host given `timefilter` time period
`report_type` is one of ('timeseries', 'summary')
"""
print('Running {0} report for {1} over {2}/{3}'
''.format(report_type,
host,
timefilter.start,
timefilter.end))
texpr = TrafficFilter('host %s' % host)
if report_type == 'timeseries':
columns = [c[0] for c in TCOLUMNS]
report = TrafficOverallTimeSeriesReport(self.netprofiler)
report.run(columns,
timefilter=timefilter,
trafficexpr=texpr,
resolution=self.options.resolution)
elif report_type == 'summary':
columns = [c[0] for c in SCOLUMNS]
report = TrafficSummaryReport(self.netprofiler)
if self.options.groupby_application:
columns.insert(0, 'app_name')
groupby = 'app'
elif self.options.groupby_interface:
columns.insert(0, 'interface_alias')
columns.insert(0, 'interface')
groupby = 'ifc'
else:
groupby = 'hos'
report.run(groupby,
columns,
timefilter=timefilter,
trafficexpr=texpr,
resolution=self.options.resolution)
else:
raise RuntimeError('unknown report type: %s' % report_type)
print('Report complete, gathering data ...')
data = report.get_data()
if not data:
print("Empty data results.")
elif len(data) == 10000:
print('WARNING: data size exceeds max length of 10000 rows')
legend = report.get_legend()
report.delete()
return legend, data
def traffic_report(self, host, timefilter, report_type):
""" Generate average statistics for host given `timefilter` time period
`report_type` is one of ('timeseries', 'summary')
"""
print 'Running %s report for %s over %s/%s' % (
report_type, host, timefilter.start, timefilter.end)
texpr = TrafficFilter('host %s' % host)
if report_type == 'timeseries':
columns = [c[0] for c in TCOLUMNS]
report = TrafficOverallTimeSeriesReport(self.netprofiler)
report.run(columns,
timefilter=timefilter,
trafficexpr=texpr,
resolution=self.options.resolution)
elif report_type == 'summary':
columns = [c[0] for c in SCOLUMNS]
report = TrafficSummaryReport(self.netprofiler)
if self.options.groupby_application:
columns.insert(0, 'app_name')
groupby = 'app'
elif self.options.groupby_interface:
columns.insert(0, 'interface_alias')
columns.insert(0, 'interface')
groupby = 'ifc'
else:
groupby = 'hos'
report.run(groupby,
columns,
timefilter=timefilter,
trafficexpr=texpr,
resolution=self.options.resolution)
else:
raise RuntimeError('unknown report type: %s' % report_type)
print 'Report complete, gathering data ...'
data = report.get_data()
if not data:
print "Empty data results."
elif len(data) == 10000:
print 'WARNING: data size exceeds max length of 10000 rows'
legend = report.get_legend()
report.delete()
return legend, data
def test_traffic_overall_time_series_report(self):
columns = [self.profiler.columns.key.time,
self.profiler.columns.value.avg_bytes,
self.profiler.columns.value.avg_pkts]
timerange = self.yesterday
trafficexpr = TrafficFilter("host 10/8")
resolution = "15min"
report = TrafficOverallTimeSeriesReport(self.profiler)
report.run(columns, timerange, trafficexpr, resolution=resolution)
legend = report.get_legend()
keys = [c.key for c in legend]
data = report.get_data()
for item in data:
d = dict(zip(keys, item))
# resolution assumes 15-minute responses
self.assertTrue(timerange.compare_time(d['time'], resolution=15*60))
report.delete()