interface_field = TableField.create(
keyword='interface', label='Interface', required=True)
#
# Overall section
# - netprofiler_filterexpr = "interface {interface}"
#
section = report.add_section("Overall",
section_keywords=['netprofiler_filterexpr',
'interface_expr'])
section.fields.add(netprofiler_filterexpr)
section.fields.add(interface_field)
NetProfilerTable.extend_filterexpr(section, keyword='interface_filterexpr',
template='interface {interface}')
# Define a Overall TimeSeries showing In/Out Utilization
p = NetProfilerTimeSeriesTable.create('qos-overall-util',
duration=15, resolution=60,
interface=True)
p.add_column('time', 'Time', datatype='time', iskey=True)
p.add_column('in_avg_util', 'Avg Inbound Util %', units='B/s')
p.add_column('out_avg_util', 'Avg Outbound Util %', units='B/s')
report.add_widget(c3.TimeSeriesWidget, p, "{interface} - Overall Utilization",
width=12)
# Define a Overall TimeSeries showing In/Out Totals
p = NetProfilerTimeSeriesTable.create('qos-overall-total',
import steelscript.appfwk.apps.report.modules.yui3 as yui3
from steelscript.netprofiler.appfwk.datasources.netprofiler import \
NetProfilerTable, NetProfilerTrafficTimeSeriesTable
#
# NetProfiler report
#
report = Report.create("NetProfiler Top Ports/Apps over Time", position=10)
report.add_section()
# Need a "base" column for the top-n report that defines the metric
# to be queried for. This table is never actually run, only the column
# parameters are used.
base = NetProfilerTable.create('ports-time-base')
base.add_column('avg_bytes', 'Avg Bytes/s', units='B/s')
# Create a top 5 report, groupby port
p = NetProfilerTrafficTimeSeriesTable.create('ports-time',
base=base,
groupby='port',
top_n=5)
p.add_column('time', 'Time', datatype='time', iskey=True)
report.add_widget(yui3.TimeSeriesWidget,
p,
"Ports over time",
width=6,
stacked=True)
interface_field = TableField.create(
keyword='interface', label='Interface', required=True)
#
# Overall section
# - netprofiler_filterexpr = "interface {interface}"
#
section = report.add_section("Overall",
section_keywords=['netprofiler_filterexpr',
'interface_expr'])
section.fields.add(netprofiler_filterexpr)
section.fields.add(interface_field)
NetProfilerTable.extend_filterexpr(section, keyword='interface_filterexpr',
template='interface {interface}')
# Define a Overall TimeSeries showing In/Out Utilization
p = NetProfilerTimeSeriesTable.create('qos-overall-util',
duration=15, resolution=60,
interface=True)
p.add_column('time', 'Time', datatype='time', iskey=True)
p.add_column('in_avg_util', 'Avg Inbound Util %', units='B/s')
p.add_column('out_avg_util', 'Avg Outbound Util %', units='B/s')
report.add_widget(yui3.TimeSeriesWidget, p, "{interface} - Overall Utilization", width=12)
# Define a Overall TimeSeries showing In/Out Totals
p = NetProfilerTimeSeriesTable.create('qos-overall-total',
duration=15, resolution=15 * 60,
from steelscript.appfwk.apps.report.models import Report
from steelscript.netprofiler.appfwk.datasources.netprofiler import \
NetProfilerTable, NetProfilerTrafficTimeSeriesTable
#
# NetProfiler report
#
report = Report.create("NetProfiler Top Ports/Apps over Time", position=10)
report.add_section()
# Need a "base" column for the top-n report that defines the metric
# to be queried for. This table is never actually run, only the column
# parameters are used.
base = NetProfilerTable.create('ports-time-base')
base.add_column('avg_bytes', 'Avg Bytes/s', units='B/s')
# Create a top 5 report, groupby port
p = NetProfilerTrafficTimeSeriesTable.create(
'ports-time', base=base, groupby='port', top_n=5)
p.add_column('time', 'Time', datatype='time', iskey=True)
report.add_widget(c3.TimeSeriesWidget, p, "Ports over time",
width=6, stacked=True)
# Similar to above, but include others
p = NetProfilerTrafficTimeSeriesTable.create(
'ports-time-other', base=base, groupby='port',
include_other=True, top_n=5)
