url = reverse('report-view', kwargs=kwargs)
line = '<li><a href="%s" target="_blank">%s</a></li>' % (url, r.title)
lines.append(line)
html = """
<ul>
%s
</ul>
""" % '\n'.join(lines)
table = StaticHTMLTable.create('Report Links', html)
raw.TableWidget.create(section, table, 'report table', width=6)
# Define a map and table, group by location
table = GroupByTable.create('maploc', 'host_group', duration=60, resolution='auto')
Column.create(table, 'group_name', label='Group Name', iskey=True)
Column.create(table, 'response_time', label='Resp Time', datatype='metric')
Column.create(table, 'network_rtt', label='Net RTT', datatype='metric')
Column.create(table, 'server_delay', label='Srv Delay', datatype='metric')
maps.MapWidget.create(section, table, "Response Time", width=5, height=300)
# Define a Sharepoint Table
table = SharepointTable.create('sp-documents', '/', 'Shared Documents')
create_sharepoint_column(table, 'BaseName', issortcol=True)
create_sharepoint_column(table, 'Created', datatype='time')
create_sharepoint_column(table, 'Modified', datatype='time')
'out_avg_bytes',
'Avg Outbound Bytes/s',
datatype='bytes',
units='B/s')
yui3.TimeSeriesWidget.create(section,
table,
"Overall Average In/Out Bandwidth",
width=6)
###
# QOS Summary Tables
for direction in ['inbound', 'outbound']:
table = GroupByTable.create('qos-%s-totals' % direction,
groupby='qos',
duration=15,
resolution=60,
interface=True)
table.fields.add(interface_field)
TableField.create(keyword='%s_filterexpr' % direction,
obj=table,
hidden=True,
post_process_template='%s interface {interface}' %
direction)
profiler.fields_add_filterexprs_field(table, '%s_filterexpr' % direction)
Column.create(table, 'qos', 'QoS', iskey=True)
Column.create(table, 'qos_name', 'QoS Name', iskey=True)
Column.create(table,
'avg_bytes',
'Avg Bytes/s',
from rvbd_portal.apps.datasource.modules.analysis import AnalysisTable
# helper libraries
from rvbd_portal.apps.plugins.builtin.whois.libs.whois import whois
#
# Profiler report
#
report = Report(title="Whois", position=5)
report.save()
section = Section.create(report)
# Define a Table that gets external hosts by avg bytes
table = GroupByTable.create('5-hosts', 'host', duration='1 hour',
filterexpr='not srv host 10/8 and not srv host 192.168/16')
Column.create(table, 'host_ip', 'IP Addr', iskey=True)
Column.create(table, 'avg_bytes', 'Avg Bytes', units='s', issortcol=True)
# Create an Analysis table that calls the 'whois' function to craete a link to 'whois'
whoistable = AnalysisTable.create('5-whois-hosts',
tables={'t': table.id},
func=whois)
Column.create(whoistable, 'host_ip', label="IP Addr", iskey=True)
Column.create(whoistable, 'avg_bytes', 'Avg Bytes', datatype='bytes', issortcol=True)
Column.create(whoistable, 'whois', label="Whois link", datatype='html')
yui3.TableWidget.create(section, whoistable, "Link table", width=12)
from rvbd_portal_shark.datasources.shark import SharkTable, create_shark_column
#
# Overall report
#
report = Report(title="Overall", position=1,
field_order=['endtime', 'profiler_filterexpr', 'shark_filterexpr'],
hidden_fields=['resolution', 'duration'])
report.save()
section = Section.create(report, title='Locations',
section_keywords=['resolution', 'duration'])
# Define a map and table, group by location
table = GroupByTable.create('maploc', 'host_group', duration=60, resolution='auto')
Column.create(table, 'group_name', label='Group Name', iskey=True)
Column.create(table, 'response_time', label='Resp Time', datatype='metric')
Column.create(table, 'network_rtt', label='Net RTT', datatype='metric')
Column.create(table, 'server_delay', label='Srv Delay', datatype='metric')
maps.MapWidget.create(section, table, "Response Time", width=6, height=300)
yui3.TableWidget.create(section, table, "Locations by Avg Bytes", width=6)
# Define a Overall TimeSeries showing Avg Bytes/s
section = Section.create(report, title='Profiler Overall',
section_keywords=['resolution', 'duration'])
table = TimeSeriesTable.create('ts1', duration=1440, resolution='15min')
report = Report(title="Business Hour Reporting - Profiler Interfaces", position=9,
field_order=['endtime', 'duration', 'profiler_filterexpr',
'business_hours_start', 'business_hours_end',
'business_hours_tzname', 'business_hours_weekends'],
hidden_fields=['resolution'])
report.save()
section = Section.create(report)
bizhours.fields_add_business_hour_fields(section)
#
# Define by-interface table from Profiler
#
basetable = GroupByTable.create('bh-basetable', 'interface', duration=60,
resolution=3600, interface=True)
# Define all of your columns here associated with basetable
# For each data column (iskey=False), you must specify the aggreation method
# in the bizhours.create below.
Column.create(basetable, 'interface_dns', 'Interface', iskey=True, isnumeric=False)
Column.create(basetable, 'interface_alias', 'Ifalias', iskey=True, isnumeric=False)
Column.create(basetable, 'avg_util', '% Utilization', datatype='pct', issortcol=True)
Column.create(basetable, 'in_avg_util', '% Utilization In', datatype='pct', issortcol=False)
Column.create(basetable, 'out_avg_util', '% Utilization Out', datatype='pct', issortcol=False)
# The 'aggregate' parameter describes how similar rows on different business days
# should be combined. For example:
#
# Day Total Bytes Avg Bytes/s
# --------- ------------ -----------
# Define a TimeSeries showing Avg Bytes/s for tcp/443
table = TimeSeriesTable.create('ts-tcp443', duration=60, filterexpr='tcp/443')
Column.create(table, 'time', 'Time', datatype='time', iskey=True)
Column.create(table, 'avg_bytes', 'Avg Bytes/s', datatype='bytes', units='B/s')
Column.create(table,
'avg_bytes_rtx',
'Avg Retrans Bytes/s',
datatype='bytes',
units='B/s')
yui3.TimeSeriesWidget.create(section, table, "Bandwidth for tcp/443")
# Define a Pie Chart for locations
table = GroupByTable.create('location-bytes', 'host_group', duration=60)
Column.create(table, 'group_name', 'Group Name', iskey=True)
Column.create(table,
'avg_bytes',
'Avg Bytes/s',
datatype='bytes',
units='B/s',
issortcol=True)
yui3.PieWidget.create(section, table, "Locations by Bytes")
# Define a Table
table = GroupByTable.create('location-resptime', 'host_group', duration=60)
Column.create(table, 'group_name', 'Group Name', iskey=True)
'business_hours_start', 'business_hours_end',
'business_hours_tzname', 'business_hours_weekends'
],
hidden_fields=['resolution'])
report.save()
section = Section.create(report)
bizhours.fields_add_business_hour_fields(section)
#
# Define by-interface table from Profiler
#
basetable = GroupByTable.create('bh-basetable',
'interface',
duration=60,
resolution=3600,
interface=True)
# Define all of your columns here associated with basetable
# For each data column (iskey=False), you must specify the aggreation method
# in the bizhours.create below.
Column.create(basetable,
'interface_dns',
'Interface',
iskey=True,
isnumeric=False)
Column.create(basetable,
'interface_alias',
'Ifalias',
iskey=True,
duration=15, resolution=60,
interface=True)
table.fields.add(interface_field)
table.fields.add(datafilter_field)
Column.create(table, 'time', 'Time', datatype='time', iskey=True)
Column.create(table, 'in_avg_bytes', 'Avg Inbound Bytes/s', datatype='bytes', units='B/s')
Column.create(table, 'out_avg_bytes', 'Avg Outbound Bytes/s', datatype='bytes', units='B/s')
yui3.TimeSeriesWidget.create(section, table, "Overall Average In/Out Bandwidth", width=6)
###
# QOS Summary Tables
for direction in ['inbound', 'outbound']:
table = GroupByTable.create('qos-%s-totals' % direction, groupby='qos',
duration=15, resolution=60,
interface=True)
table.fields.add(interface_field)
TableField.create(keyword='%s_filterexpr' % direction, obj=table, hidden=True,
post_process_template='%s interface {interface}' % direction)
profiler.fields_add_filterexprs_field(table, '%s_filterexpr' % direction)
Column.create(table, 'qos', 'QoS', iskey=True)
Column.create(table, 'qos_name', 'QoS Name', iskey=True)
Column.create(table, 'avg_bytes', 'Avg Bytes/s', datatype='bytes', units='B/s')
Column.create(table, 'total_bytes', 'Total Bytes/s', datatype='bytes', units='B/s')
Column.create(table, 'avg_util', 'Avg Util', datatype='metric')
Column.create(table, 'peak_util', 'Peak Util', datatype='metric')
yui3.TableWidget.create(section, table, "%s Traffic by QoS" % direction.capitalize(), width=6)
import rvbd_portal.apps.report.modules.yui3 as yui3
from rvbd_portal_profiler.datasources.profiler import GroupByTable
#
# Google Map example
#
# Google Map example
report = Report(title="Response Time Map", position=4)
report.save()
section = Section.create(report)
# Define a map and table, group by location
table = GroupByTable.create('maploc2', 'host_group', duration=60)
Column.create(table, 'group_name', iskey=True, label='Group Name')
Column.create(table, 'response_time', label='Resp Time', datatype='metric')
Column.create(table, 'network_rtt', label='Net RTT', datatype='metric')
Column.create(table, 'server_delay', label='Srv Delay', datatype='metric')
Column.create(table, 'avg_bytes', label='Response Time', datatype='metric')
Column.create(table, 'peak_bytes', 'Peak Bytes/s', datatype='bytes', units='B/s')
Column.create(table, 'avg_bytes_rtx', 'Avg Retrans Bytes/s', datatype='bytes', units='B/s')
Column.create(table, 'peak_bytes_rtx', 'Peak Retrans Bytes/s', datatype='bytes', units='B/s')
# Create a Map widget
maps.MapWidget.create(section, table, "Response Time Map", width=12, height=500)
# Create a Table showing the same data as the map
yui3.TableWidget.create(section, table, "Locations", width=12)
Column.create(table, 'avg_bytes_rtx', 'Avg Retrans Bytes/s', datatype='bytes', units = 'B/s')
yui3.TimeSeriesWidget.create(section, table, "Bandwidth for tcp/80",
altaxis=['avg_bytes_rtx'])
# Define a TimeSeries showing Avg Bytes/s for tcp/443
table = TimeSeriesTable.create('ts-tcp443', duration=60,
filterexpr = 'tcp/443')
Column.create(table, 'time', 'Time', datatype='time', iskey=True)
Column.create(table, 'avg_bytes', 'Avg Bytes/s', datatype='bytes', units = 'B/s')
Column.create(table, 'avg_bytes_rtx', 'Avg Retrans Bytes/s', datatype='bytes', units = 'B/s')
yui3.TimeSeriesWidget.create(section, table, "Bandwidth for tcp/443")
# Define a Pie Chart for locations
table = GroupByTable.create('location-bytes', 'host_group', duration=60)
Column.create(table, 'group_name', 'Group Name', iskey=True)
Column.create(table, 'avg_bytes', 'Avg Bytes/s', datatype='bytes', units = 'B/s', issortcol=True)
yui3.PieWidget.create(section, table, "Locations by Bytes")
# Define a Table
table = GroupByTable.create('location-resptime', 'host_group', duration=60)
Column.create(table, 'group_name', 'Group Name', iskey=True)
Column.create(table, 'response_time', 'Response Time', units='s', issortcol=True)
yui3.BarWidget.create(section, table, "Locations by Response Time")