# 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 yardstick.network_services.traffic_profile.trex_traffic_profile import \ TrexProfile LOG = logging.getLogger(__name__) class IXIARFC2544Profile(TrexProfile): UPLINK = 'uplink' DOWNLINK = 'downlink' def _get_ixia_traffic_profile(self, profile_data, mac=None): if mac is None: mac = {} result = {} for traffickey, values in profile_data.items(): if not traffickey.startswith((self.UPLINK, self.DOWNLINK)): continue try: # values should be single-item dict, so just grab the first item try: key, value = next(iter(values.items())) except StopIteration: result[traffickey] = {} continue port_id = value.get('id', 1) port_index = port_id - 1 try: ip = value['outer_l3v6'] except KeyError: ip = value['outer_l3v4'] src_key, dst_key = 'srcip4', 'dstip4' else: src_key, dst_key = 'srcip6', 'dstip6' result[traffickey] = { 'bidir': False, 'iload': '100', 'id': port_id, 'outer_l2': { 'framesize': value['outer_l2']['framesize'], 'framesPerSecond': True, 'srcmac': mac['src_mac_{}'.format(port_index)], 'dstmac': mac['dst_mac_{}'.format(port_index)], }, 'outer_l3': { 'count': ip['count'], 'dscp': ip['dscp'], 'ttl': ip['ttl'], src_key: ip[src_key].split("-")[0], dst_key: ip[dst_key].split("-")[0], 'type': key, 'proto': ip['proto'], }, 'outer_l4': value['outer_l4'], } except KeyError: continue return result def _ixia_traffic_generate(self, traffic, ixia_obj): for key, value in traffic.items(): if key.startswith((self.UPLINK, self.DOWNLINK)): value['iload'] = str(self.rate) ixia_obj.update_frame(traffic) ixia_obj.update_ip_packet(traffic) ixia_obj.start_traffic() def update_traffic_profile(self, traffic_generator): def port_generator(): for vld_id, intfs in sorted(traffic_generator.networks.items()): if not vld_id.startswith((self.UPLINK, self.DOWNLINK)): continue profile_data = self.params.get(vld_id) if not profile_data: continue self.profile_data = profile_data self.get_streams(self.profile_data) self.full_profile.update({vld_id: self.profile_data}) for intf in intfs: yield traffic_generator.vnfd_helper.port_num(intf) self.ports = [port for port in port_generator()] def execute_traffic(self, traffic_generator, ixia_obj=None, mac=None): mac = {} if mac is None else mac first_run = self.first_run if self.first_run: self.first_run = False self.full_profile = {} self.pg_id = 0 self.update_traffic_profile(traffic_generator) self.max_rate = self.rate self.min_rate = 0 else: self.rate = round(float(self.max_rate + self.min_rate) / 2.0, 2) traffic = self._get_ixia_traffic_profile(self.full_profile, mac) self._ixia_traffic_generate(traffic, ixia_obj) return first_run def get_drop_percentage(self, samples, tol_min, tolerance, duration=30.0, first_run=False): completed = False drop_percent = 100 num_ifaces = len(samples) in_packets_sum = sum( [samples[iface]['in_packets'] for iface in samples]) out_packets_sum = sum( [samples[iface]['out_packets'] for iface in samples]) rx_throughput = sum( [samples[iface]['RxThroughput'] for iface in samples]) rx_throughput = round(float(rx_throughput), 2) tx_throughput = sum( [samples[iface]['TxThroughput'] for iface in samples]) tx_throughput = round(float(tx_throughput), 2) packet_drop = abs(out_packets_sum - in_packets_sum) try: drop_percent = round( (packet_drop / float(out_packets_sum)) * 100, 2) except ZeroDivisionError: LOG.info('No traffic is flowing') samples['TxThroughput'] = tx_throughput samples['RxThroughput'] = rx_throughput samples['DropPercentage'] = drop_percent if first_run: self.rate = out_packets_sum / duration / num_ifaces completed = True if drop_percent <= tolerance else False if drop_percent > tolerance: self.max_rate = self.rate elif drop_percent < tol_min: self.min_rate = self.rate else: completed = True return completed, samples