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profile-builder.py
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profile-builder.py
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#!/bin/python
from __future__ import print_function
import argparse
from trex_tg_lib import *
class t_global(object):
args = None
def process_options ():
parser = argparse.ArgumentParser(usage="postprocess a TRex profile")
parser.add_argument('--frame-size',
dest='frame_size',
help='L2 frame size in bytes',
default="64",
type = int
)
parser.add_argument('--num-flows',
dest='num_flows',
help='Number of unique network flows',
default=1024,
type = int,
)
parser.add_argument('--use-src-ip-flows',
dest='use_src_ip_flows',
help='Implement flows by source IP',
action = 'store_true',
)
parser.add_argument('--use-dst-ip-flows',
dest='use_dst_ip_flows',
help='Implement flows by destination IP',
action = 'store_true',
)
parser.add_argument('--use-src-mac-flows',
dest='use_src_mac_flows',
help='Implement flows by source MAC',
action = 'store_true',
)
parser.add_argument('--use-dst-mac-flows',
dest='use_dst_mac_flows',
help='Implement flows by destination MAC',
action = 'store_true',
)
parser.add_argument('--use-src-port-flows',
dest='use_src_port_flows',
help='Implement flows by source port',
action = 'store_true',
)
parser.add_argument('--use-dst-port-flows',
dest='use_dst_port_flows',
help='Implement flows by destination port',
action = 'store_true',
)
parser.add_argument('--use-protocol-flows',
dest='use_protocol_flows',
help='Implement flows by IP protocol',
action = 'store_true',
)
parser.add_argument('--rate',
dest='rate',
help='Packet rate per device per stream',
default = 1000000.0,
type = float
)
parser.add_argument('--measure-latency',
dest='measure_latency',
help='Collect latency statistics or not',
action = 'store_true',
)
parser.add_argument('--send-teaching-warmup',
dest='send_teaching_warmup',
help='Send teaching packets from the receiving port during a warmup phase',
action = 'store_true',
)
parser.add_argument('--send-teaching-measurement',
dest='send_teaching_measurement',
help='Send teaching packets from the receiving port during the measurement phase',
action = 'store_true',
)
parser.add_argument('--teaching-warmup-packet-type',
dest='teaching_warmup_packet_type',
help='Type of packet to send for the teaching warmup from the receiving port',
default = 'generic',
choices = ['garp', 'icmp', 'generic']
)
parser.add_argument('--teaching-measurement-packet-type',
dest='teaching_measurement_packet_type',
help='Type of packet to send for the teaching measurement from the receiving port',
default = 'generic',
choices = ['garp', 'icmp', 'generic']
)
parser.add_argument('--teaching-warmup-packet-rate',
dest='teaching_warmup_packet_rate',
help='Rate to send teaching packets at from the receiving port in packets per second (pps) during the warmup',
default = 1000,
type = int
)
parser.add_argument('--teaching-measurement-packet-rate',
dest='teaching_measurement_packet_rate',
help='Rate to send teaching packets at from the receiving port in packets per second (pps) during the measurement phase',
default = 1000,
type = int
)
parser.add_argument('--traffic-direction',
dest='traffic_direction',
help='What direction is the traffic flow?',
default = 'bidirectional',
choices = ['bidirectional', 'unidirectional', 'revunidirectional']
)
parser.add_argument('--packet-protocol',
dest='packet_protocol',
help='IP protocol to use when constructing packets',
default = "UDP",
choices = [ 'UDP', 'TCP' ]
)
t_global.args = parser.parse_args()
return(0)
def main ():
ret_val = process_options()
if ret_val:
print(error("Input Error"))
return(ret_val)
profile = { 'streams': [] }
flow_mods = create_flow_mod_object(use_src_mac_flows = t_global.args.use_src_mac_flows,
use_dst_mac_flows = t_global.args.use_dst_mac_flows,
use_src_ip_flows = t_global.args.use_src_ip_flows,
use_dst_ip_flows = t_global.args.use_dst_ip_flows,
use_src_port_flows = t_global.args.use_src_port_flows,
use_dst_port_flows = t_global.args.use_dst_port_flows,
use_protocol_flows = t_global.args.use_protocol_flows)
stream_id = "built-by-profile-builder"
integrated_teaching_warmup = t_global.args.send_teaching_warmup
dedicated_teaching_warmup = False
if t_global.args.send_teaching_warmup and t_global.args.teaching_warmup_packet_type != 'generic':
dedicated_teaching_warmup = True
integrated_teaching_warmup = False
integrated_teaching_measurement = t_global.args.send_teaching_measurement
dedicated_teaching_measurement = False
if t_global.args.send_teaching_measurement and t_global.args.teaching_measurement_packet_type != 'generic':
dedicated_teaching_measurement = True
integrated_teaching_measurement = False
stream = create_profile_stream(flows = t_global.args.num_flows,
frame_size = t_global.args.frame_size,
flow_mods = flow_mods,
rate = t_global.args.rate,
frame_type = 'generic',
measurement = True,
teaching_warmup = integrated_teaching_warmup,
teaching_measurement = integrated_teaching_measurement,
latency = t_global.args.measure_latency,
protocol = t_global.args.packet_protocol,
traffic_direction = t_global.args.traffic_direction,
stream_id = stream_id)
profile['streams'].append(stream)
if dedicated_teaching_warmup or dedicated_teaching_measurement:
if dedicated_teaching_warmup and dedicated_teaching_measurement and t_global.args.teaching_warmup_packet_type == t_global.args.teaching_measurement_packet_type and t_global.args.teaching_warmup_packet_rate == t_global.args.teaching_measurement_packet_rate:
stream = create_profile_stream(flows = t_global.args.num_flows,
frame_size = t_global.args.frame_size,
flow_mods = flow_mods,
rate = t_global.args.teaching_warmup_packet_rate,
frame_type = t_global.args.teaching_warmup_packet_type,
measurement = False,
teaching_warmup = True,
teaching_measurement = True,
latency = False,
protocol = t_global.args.packet_protocol,
traffic_direction = t_global.args.traffic_direction,
stream_id = stream_id)
profile['streams'].append(stream)
else:
if dedicated_teaching_warmup:
stream = create_profile_stream(flows = t_global.args.num_flows,
frame_size = t_global.args.frame_size,
flow_mods = flow_mods,
rate = t_global.args.teaching_warmup_packet_rate,
frame_type = t_global.args.teaching_warmup_packet_type,
measurement = False,
teaching_warmup = True,
teaching_measurement = False,
latency = False,
protocol = t_global.args.packet_protocol,
traffic_direction = t_global.args.traffic_direction,
stream_id = stream_id)
profile['streams'].append(stream)
if dedicated_teaching_measurement:
stream = create_profile_stream(flows = t_global.args.num_flows,
frame_size = t_global.args.frame_size,
flow_mods = flow_mods,
rate = t_global.args.teaching_measurement_packet_rate,
frame_type = t_global.args.teaching_measurement_packet_type,
measurement = False,
teaching_warmup = False,
teaching_measurement = True,
latency = False,
protocol = t_global.args.packet_protocol,
traffic_direction = t_global.args.traffic_direction,
stream_id = stream_id)
profile['streams'].append(stream)
print(dump_json_readable(profile))
return(0)
if __name__ == "__main__":
exit(main())