# 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. from __future__ import absolute_import import logging from yardstick.network_services.vnf_generic.vnf.sample_vnf import SampleVNF from yardstick.network_services.vnf_generic.vnf.sample_vnf import DpdkVnfSetupEnvHelper from yardstick.network_services.vnf_generic.vnf.sample_vnf import ClientResourceHelper LOG = logging.getLogger(__name__) # UDP_Replay should work the same on all systems, we can provide the binary REPLAY_PIPELINE_COMMAND = ( """sudo {tool_path} -c {cpu_mask_hex} -n 4 -w {whitelist} -- """ """{hw_csum} -p {ports_len_hex} --config='{config}'""" ) # {tool_path} -p {ports_len_hex} -f {cfg_file} -s {script}' class UdpReplaySetupEnvHelper(DpdkVnfSetupEnvHelper): APP_NAME = "UDP_Replay" class UdpReplayResourceHelper(ClientResourceHelper): pass class UdpReplayApproxVnf(SampleVNF): APP_NAME = "UDP_Replay" APP_WORD = "UDP_Replay" VNF_PROMPT = 'Replay>' VNF_TYPE = 'UdpReplay' HW_OFFLOADING_NFVI_TYPES = {'baremetal', 'sriov'} PIPELINE_COMMAND = REPLAY_PIPELINE_COMMAND def __init__(self, name, vnfd, setup_env_helper_type=None, resource_helper_type=None): if resource_helper_type is None: resource_helper_type = UdpReplayResourceHelper if setup_env_helper_type is None: setup_env_helper_type = UdpReplaySetupEnvHelper super(UdpReplayApproxVnf, self).__init__(name, vnfd, setup_env_helper_type, resource_helper_type) def _start_server(self): super(UdpReplayApproxVnf, self)._start_server() self.resource_helper.start() def scale(self, flavor=""): """ scale vnfbased on flavor input """ raise NotImplementedError def _deploy(self): self.generate_port_pairs() super(UdpReplayApproxVnf, self)._deploy() def _build_pipeline_kwargs(self): all_ports = [i for i, _ in enumerate(self.vnfd_helper.interfaces)] number_of_ports = len(all_ports) tool_path = self.ssh_helper.provision_tool(tool_file=self.APP_NAME) ports_mask = 2 ** number_of_ports - 1 ports_mask_hex = hex(ports_mask) cpu_mask_hex = hex(2 ** (number_of_ports + 1) - 1) hw_csum = "" if (not self.scenario_helper.options.get('hw_csum', False) or self.nfvi_context.attrs.get('nfvi_type') not in self.HW_OFFLOADING_NFVI_TYPES): hw_csum = '--no-hw-csum' config_value = "".join(str((port, 0, port + 1)) for port in all_ports) whitelist = " -w ".join(self.setup_helper.bound_pci) self.pipeline_kwargs = { 'ports_len_hex': ports_mask_hex, 'tool_path': tool_path, 'hw_csum': hw_csum, 'whitelist': whitelist, 'cpu_mask_hex': cpu_mask_hex, 'config': config_value, } def _build_config(self): self._build_pipeline_kwargs() return self.PIPELINE_COMMAND.format(**self.pipeline_kwargs) def collect_kpi(self): def get_sum(offset): return sum(int(i) for i in split_stats[offset::5]) number_of_ports = len(self.vnfd_helper.interfaces) stats = self.get_stats() stats_words = stats.split() split_stats = stats_words[stats_words.index('0'):][:number_of_ports * 5] result = { "packets_in": get_sum(1), "packets_fwd": get_sum(2), "packets_dropped": get_sum(3) + get_sum(4), "collect_stats": {}, } LOG.debug("UDP Replay collect KPIs %s", result) return result def get_stats(self): """ Method for checking the statistics :return: UDP Replay statistics """ cmd = 'UDP_Replay stats' out = self.vnf_execute(cmd) return out