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# Copyright (c) 2016-2017 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
from trex_stl_lib import api as Pkt
from trex_stl_lib import trex_stl_client
from trex_stl_lib import trex_stl_packet_builder_scapy
from trex_stl_lib import trex_stl_streams
from yardstick.common import constants
from yardstick.network_services.traffic_profile import trex_traffic_profile
LOGGING = logging.getLogger(__name__)
SRC_PORT = 'sport'
DST_PORT = 'dport'
class PortPgIDMap(object):
"""Port and pg_id mapping class
"pg_id" is the identification STL library gives to each stream. In the
RFC2544Profile class, the traffic has a STLProfile per port, which contains
one or several streams, one per packet size defined in the IMIX test case
description.
Example of port <-> pg_id map:
self._port_pg_id_map = {
0: [1, 2, 3, 4],
1: [5, 6, 7, 8]
}
"""
def __init__(self):
self._pg_id = 0
self._last_port = None
self._port_pg_id_map = {}
def add_port(self, port):
self._last_port = port
self._port_pg_id_map[port] = []
def get_pg_ids(self, port):
return self._port_pg_id_map.get(port, [])
def increase_pg_id(self, port=None):
port = self._last_port if not port else port
if port is None:
return
pg_id_list = self._port_pg_id_map.get(port)
if not pg_id_list:
self.add_port(port)
pg_id_list = self._port_pg_id_map[port]
self._pg_id += 1
pg_id_list.append(self._pg_id)
return self._pg_id
class RFC2544Profile(trex_traffic_profile.TrexProfile):
"""TRex RFC2544 traffic profile"""
TOLERANCE_LIMIT = 0.01
def __init__(self, traffic_generator):
super(RFC2544Profile, self).__init__(traffic_generator)
self.generator = None
self.rate = self.config.frame_rate
self.max_rate = self.config.frame_rate
self.min_rate = 0
self.drop_percent_max = 0
def register_generator(self, generator):
self.generator = generator
def stop_traffic(self, traffic_generator=None):
""""Stop traffic injection, reset counters and remove streams"""
if traffic_generator is not None and self.generator is None:
self.generator = traffic_generator
self.generator.client.stop()
self.generator.client.reset()
self.generator.client.remove_all_streams()
def execute_traffic(self, traffic_generator=None):
"""Generate the stream and run traffic on the given ports
:param traffic_generator: (TrexTrafficGenRFC) traffic generator
:return ports: (list of int) indexes of ports
port_pg_id: (dict) port indexes and pg_id [1] map
[1] https://trex-tgn.cisco.com/trex/doc/cp_stl_docs/api/
profile_code.html#stlstream-modes
"""
if traffic_generator is not None and self.generator is None:
self.generator = traffic_generator
port_pg_id = PortPgIDMap()
ports = []
for vld_id, intfs in sorted(self.generator.networks.items()):
profile_data = self.params.get(vld_id)
if not profile_data:
continue
if (vld_id.startswith(self.DOWNLINK) and
self.generator.rfc2544_helper.correlated_traffic):
continue
for intf in intfs:
port_num = int(self.generator.port_num(intf))
ports.append(port_num)
port_pg_id.add_port(port_num)
profile = self._create_profile(profile_data,
self.rate, port_pg_id,
self.config.enable_latency)
self.generator.client.add_streams(profile, ports=[port_num])
self.generator.client.start(ports=ports,
duration=self.config.duration,
force=True)
return ports, port_pg_id
def _create_profile(self, profile_data, rate, port_pg_id, enable_latency):
"""Create a STL profile (list of streams) for a port"""
streams = []
for packet_name in profile_data:
imix = (profile_data[packet_name].
get('outer_l2', {}).get('framesize'))
imix_data = self._create_imix_data(imix)
self._create_vm(profile_data[packet_name])
_streams = self._create_streams(imix_data, rate, port_pg_id,
enable_latency)
streams.extend(_streams)
return trex_stl_streams.STLProfile(streams)
def _create_imix_data(self, imix,
weight_mode=constants.DISTRIBUTION_IN_PACKETS):
"""Generate the IMIX distribution for a STL profile
The input information is the framesize dictionary in a test case
traffic profile definition. E.g.:
downlink_0:
ipv4:
id: 2
outer_l2:
framesize:
64B: 10
128B: 20
...
This function normalizes the sum of framesize weights to 100 and
returns a dictionary of frame sizes in bytes and weight in percentage.
E.g.:
imix_count = {64: 25, 128: 75}
The weight mode is described in [1]. There are two ways to describe the
weight of the packets:
- Distribution in packets: the weight defines the percentage of
packets sent per packet size. IXIA uses this definition.
- Distribution in bytes: the weight defines the percentage of bytes
sent per packet size.
Packet size # packets D. in packets Bytes D. in bytes
40 7 58.33% 280 7%
576 4 33.33% 2304 56%
1500 1 8.33% 1500 37%
[1] https://en.wikipedia.org/wiki/Internet_Mix
:param imix: (dict) IMIX size and weight
"""
imix_count = {}
if not imix:
return imix_count
imix_count = {size.upper().replace('B', ''): int(weight)
for size, weight in imix.items()}
imix_sum = sum(imix_count.values())
if imix_sum <= 0:
imix_count = {64: 100}
imix_sum = 100
weight_normalize = float(imix_sum) / 100
imix_dip = {size: float(weight) / weight_normalize
for size, weight in imix_count.items()}
if weight_mode == constants.DISTRIBUTION_IN_BYTES:
return imix_dip
byte_total = sum([int(size) * weight
for size, weight in imix_dip.items()])
return {size: (int(size) * weight * 100) / byte_total
for size, weight in imix_dip.items()}
def _create_vm(self, packet_definition):
"""Create the STL Raw instructions"""
self.ether_packet = Pkt.Ether()
self.ip_packet = Pkt.IP()
self.ip6_packet = None
self.udp_packet = Pkt.UDP()
self.udp[DST_PORT] = 'UDP.dport'
self.udp[SRC_PORT] = 'UDP.sport'
self.qinq = False
self.vm_flow_vars = []
outer_l2 = packet_definition.get('outer_l2')
outer_l3v4 = packet_definition.get('outer_l3v4')
outer_l3v6 = packet_definition.get('outer_l3v6')
outer_l4 = packet_definition.get('outer_l4')
if outer_l2:
self._set_outer_l2_fields(outer_l2)
if outer_l3v4:
self._set_outer_l3v4_fields(outer_l3v4)
if outer_l3v6:
self._set_outer_l3v6_fields(outer_l3v6)
if outer_l4:
self._set_outer_l4_fields(outer_l4)
self.trex_vm = trex_stl_packet_builder_scapy.STLScVmRaw(
self.vm_flow_vars)
def _create_single_packet(self, size=64):
size -= 4
ether_packet = self.ether_packet
ip_packet = self.ip6_packet if self.ip6_packet else self.ip_packet
udp_packet = self.udp_packet
if self.qinq:
qinq_packet = self.qinq_packet
base_pkt = ether_packet / qinq_packet / ip_packet / udp_packet
else:
base_pkt = ether_packet / ip_packet / udp_packet
pad = max(0, size - len(base_pkt)) * 'x'
return trex_stl_packet_builder_scapy.STLPktBuilder(
pkt=base_pkt / pad, vm=self.trex_vm)
def _create_streams(self, imix_data, rate, port_pg_id, enable_latency):
"""Create a list of streams per packet size
The STL TX mode speed of the generated streams will depend on the frame
weight and the frame rate. Both the frame weight and the total frame
rate are normalized to 100. The STL TX mode speed, defined in
percentage, is the combitation of both percentages. E.g.:
frame weight = 100
rate = 90
--> STLTXmode percentage = 10 (%)
frame weight = 80
rate = 50
--> STLTXmode percentage = 40 (%)
:param imix_data: (dict) IMIX size and weight
:param rate: (float) normalized [0..100] total weight
:param pg_id: (PortPgIDMap) port / pg_id (list) map
"""
streams = []
for size, weight in ((int(size), float(weight)) for (size, weight)
in imix_data.items() if float(weight) > 0):
packet = self._create_single_packet(size)
pg_id = port_pg_id.increase_pg_id()
stl_flow = (trex_stl_streams.STLFlowLatencyStats(pg_id=pg_id) if
enable_latency else None)
mode = trex_stl_streams.STLTXCont(percentage=weight * rate / 100)
streams.append(trex_stl_client.STLStream(
packet=packet, flow_stats=stl_flow, mode=mode))
return streams
def get_drop_percentage(self, samples, tol_low, tol_high,
correlated_traffic):
"""Calculate the drop percentage and run the traffic"""
completed = False
out_pkt_end = sum(port['out_packets'] for port in samples[-1].values())
in_pkt_end = sum(port['in_packets'] for port in samples[-1].values())
out_pkt_ini = sum(port['out_packets'] for port in samples[0].values())
in_pkt_ini = sum(port['in_packets'] for port in samples[0].values())
time_diff = (list(samples[-1].values())[0]['timestamp'] -
list(samples[0].values())[0]['timestamp']).total_seconds()
out_packets = out_pkt_end - out_pkt_ini
in_packets = in_pkt_end - in_pkt_ini
tx_rate_fps = float(out_packets) / time_diff
rx_rate_fps = float(in_packets) / time_diff
drop_percent = 100.0
# https://tools.ietf.org/html/rfc2544#section-26.3
if out_packets:
drop_percent = round(
(float(abs(out_packets - in_packets)) / out_packets) * 100, 5)
tol_high = max(tol_high, self.TOLERANCE_LIMIT)
tol_low = min(tol_low, self.TOLERANCE_LIMIT)
if drop_percent > tol_high:
self.max_rate = self.rate
elif drop_percent < tol_low:
self.min_rate = self.rate
else:
completed = True
last_rate = self.rate
self.rate = round(float(self.max_rate + self.min_rate) / 2.0, 5)
throughput = rx_rate_fps * 2 if correlated_traffic else rx_rate_fps
if drop_percent > self.drop_percent_max:
self.drop_percent_max = drop_percent
latency = {port_num: value['latency']
for port_num, value in samples[-1].items()}
output = {
'TxThroughput': tx_rate_fps,
'RxThroughput': rx_rate_fps,
'CurrentDropPercentage': drop_percent,
'Throughput': throughput,
'DropPercentage': self.drop_percent_max,
'Rate': last_rate,
'Latency': latency
}
return completed, output
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