Ejemplo n.º 1
0
class TRex(AbstractTrafficGenerator):
    """TRex traffic generator driver."""

    LATENCY_PPS = 1000
    CHAIN_PG_ID_MASK = 0x007F
    PORT_PG_ID_MASK = 0x0080
    LATENCY_PG_ID_MASK = 0x0100

    def __init__(self, traffic_client):
        """Trex driver."""
        AbstractTrafficGenerator.__init__(self, traffic_client)
        self.client = None
        self.id = count()
        self.port_handle = []
        self.chain_count = self.generator_config.service_chain_count
        self.rates = []
        self.capture_id = None
        self.packet_list = []

    def get_version(self):
        """Get the Trex version."""
        return self.client.get_server_version() if self.client else ''

    def get_pg_id(self, port, chain_id):
        """Calculate the packet group IDs to use for a given port/stream type/chain_id.

        port: 0 or 1
        chain_id: identifies to which chain the pg_id is associated (0 to 255)
        return: pg_id, lat_pg_id

        We use a bit mask to set up the 3 fields:
        0x007F: chain ID (8 bits for a max of 128 chains)
        0x0080: port bit
        0x0100: latency bit
        """
        pg_id = port * TRex.PORT_PG_ID_MASK | chain_id
        return pg_id, pg_id | TRex.LATENCY_PG_ID_MASK

    def extract_stats(self, in_stats):
        """Extract stats from dict returned by Trex API.

        :param in_stats: dict as returned by TRex api
        """
        utils.nan_replace(in_stats)
        # LOG.debug(in_stats)

        result = {}
        # port_handles should have only 2 elements: [0, 1]
        # so (1 - ph) will be the index for the far end port
        for ph in self.port_handle:
            stats = in_stats[ph]
            far_end_stats = in_stats[1 - ph]
            result[ph] = {
                'tx': {
                    'total_pkts': cast_integer(stats['opackets']),
                    'total_pkt_bytes': cast_integer(stats['obytes']),
                    'pkt_rate': cast_integer(stats['tx_pps']),
                    'pkt_bit_rate': cast_integer(stats['tx_bps'])
                },
                'rx': {
                    'total_pkts': cast_integer(stats['ipackets']),
                    'total_pkt_bytes': cast_integer(stats['ibytes']),
                    'pkt_rate': cast_integer(stats['rx_pps']),
                    'pkt_bit_rate': cast_integer(stats['rx_bps']),
                    # how many pkts were dropped in RX direction
                    # need to take the tx counter on the far end port
                    'dropped_pkts': cast_integer(
                        far_end_stats['opackets'] - stats['ipackets'])
                }
            }
            self.__combine_latencies(in_stats, result[ph]['rx'], ph)

        total_tx_pkts = result[0]['tx']['total_pkts'] + result[1]['tx']['total_pkts']
        result["total_tx_rate"] = cast_integer(total_tx_pkts / self.config.duration_sec)
        result["flow_stats"] = in_stats["flow_stats"]
        result["latency"] = in_stats["latency"]
        return result

    def get_stream_stats(self, trex_stats, if_stats, latencies, chain_idx):
        """Extract the aggregated stats for a given chain.

        trex_stats: stats as returned by get_stats()
        if_stats: a list of 2 interface stats to update (port 0 and 1)
        latencies: a list of 2 Latency instances to update for this chain (port 0 and 1)
                   latencies[p] is the latency for packets sent on port p
                   if there are no latency streams, the Latency instances are not modified
        chain_idx: chain index of the interface stats

        The packet counts include normal and latency streams.

        Trex returns flows stats as follows:

        'flow_stats': {0: {'rx_bps': {0: 0, 1: 0, 'total': 0},
                   'rx_bps_l1': {0: 0.0, 1: 0.0, 'total': 0.0},
                   'rx_bytes': {0: nan, 1: nan, 'total': nan},
                   'rx_pkts': {0: 0, 1: 15001, 'total': 15001},
                   'rx_pps': {0: 0, 1: 0, 'total': 0},
                   'tx_bps': {0: 0, 1: 0, 'total': 0},
                   'tx_bps_l1': {0: 0.0, 1: 0.0, 'total': 0.0},
                   'tx_bytes': {0: 1020068, 1: 0, 'total': 1020068},
                   'tx_pkts': {0: 15001, 1: 0, 'total': 15001},
                   'tx_pps': {0: 0, 1: 0, 'total': 0}},
               1: {'rx_bps': {0: 0, 1: 0, 'total': 0},
                   'rx_bps_l1': {0: 0.0, 1: 0.0, 'total': 0.0},
                   'rx_bytes': {0: nan, 1: nan, 'total': nan},
                   'rx_pkts': {0: 0, 1: 15001, 'total': 15001},
                   'rx_pps': {0: 0, 1: 0, 'total': 0},
                   'tx_bps': {0: 0, 1: 0, 'total': 0},
                   'tx_bps_l1': {0: 0.0, 1: 0.0, 'total': 0.0},
                   'tx_bytes': {0: 1020068, 1: 0, 'total': 1020068},
                   'tx_pkts': {0: 15001, 1: 0, 'total': 15001},
                   'tx_pps': {0: 0, 1: 0, 'total': 0}},
                128: {'rx_bps': {0: 0, 1: 0, 'total': 0},
                'rx_bps_l1': {0: 0.0, 1: 0.0, 'total': 0.0},
                'rx_bytes': {0: nan, 1: nan, 'total': nan},
                'rx_pkts': {0: 15001, 1: 0, 'total': 15001},
                'rx_pps': {0: 0, 1: 0, 'total': 0},
                'tx_bps': {0: 0, 1: 0, 'total': 0},
                'tx_bps_l1': {0: 0.0, 1: 0.0, 'total': 0.0},
                'tx_bytes': {0: 0, 1: 1020068, 'total': 1020068},
                'tx_pkts': {0: 0, 1: 15001, 'total': 15001},
                'tx_pps': {0: 0, 1: 0, 'total': 0}},etc...

        the pg_id (0, 1, 128,...) is the key of the dict and is obtained using the
        get_pg_id() method.
        packet counters for a given stream sent on port p are reported as:
        - tx_pkts[p] on port p
        - rx_pkts[1-p] on the far end port

        This is a tricky/critical counter transposition operation because
        the results are grouped by port (not by stream):
        tx_pkts_port(p=0) comes from pg_id(port=0, chain_idx)['tx_pkts'][0]
        rx_pkts_port(p=0) comes from pg_id(port=1, chain_idx)['rx_pkts'][0]
        tx_pkts_port(p=1) comes from pg_id(port=1, chain_idx)['tx_pkts'][1]
        rx_pkts_port(p=1) comes from pg_id(port=0, chain_idx)['rx_pkts'][1]

        or using a more generic formula:
        tx_pkts_port(p) comes from pg_id(port=p, chain_idx)['tx_pkts'][p]
        rx_pkts_port(p) comes from pg_id(port=1-p, chain_idx)['rx_pkts'][p]

        the second formula is equivalent to
        rx_pkts_port(1-p) comes from pg_id(port=p, chain_idx)['rx_pkts'][1-p]

        If there are latency streams, those same counters need to be added in the same way
        """
        def get_latency(lval):
            try:
                return int(round(lval))
            except ValueError:
                return 0

        for ifs in if_stats:
            ifs.tx = ifs.rx = 0
        for port in range(2):
            pg_id, lat_pg_id = self.get_pg_id(port, chain_idx)
            for pid in [pg_id, lat_pg_id]:
                try:
                    pg_stats = trex_stats['flow_stats'][pid]
                    if_stats[port].tx += pg_stats['tx_pkts'][port]
                    if_stats[1 - port].rx += pg_stats['rx_pkts'][1 - port]
                except KeyError:
                    pass
            try:
                lat = trex_stats['latency'][lat_pg_id]['latency']
                # dropped_pkts += lat['err_cntrs']['dropped']
                latencies[port].max_usec = get_latency(lat['total_max'])
                if math.isnan(lat['total_min']):
                    latencies[port].min_usec = 0
                    latencies[port].avg_usec = 0
                else:
                    latencies[port].min_usec = get_latency(lat['total_min'])
                    latencies[port].avg_usec = get_latency(lat['average'])
                # pick up the HDR histogram if present (otherwise will raise KeyError)
                latencies[port].hdrh = lat['hdrh']
            except KeyError:
                pass

    def __combine_latencies(self, in_stats, results, port_handle):
        """Traverse TRex result dictionary and combines chosen latency stats.

          example of latency dict returned by trex (2 chains):
         'latency': {256: {'err_cntrs': {'dropped': 0,
                                 'dup': 0,
                                 'out_of_order': 0,
                                 'seq_too_high': 0,
                                 'seq_too_low': 0},
                            'latency': {'average': 26.5,
                                        'hdrh': u'HISTFAAAAEx4nJNpmSgz...bFRgxi',
                                        'histogram': {20: 303,
                                                        30: 320,
                                                        40: 300,
                                                        50: 73,
                                                        60: 4,
                                                        70: 1},
                                        'jitter': 14,
                                        'last_max': 63,
                                        'total_max': 63,
                                        'total_min': 20}},
                    257: {'err_cntrs': {'dropped': 0,
                                        'dup': 0,
                                        'out_of_order': 0,
                                        'seq_too_high': 0,
                                        'seq_too_low': 0},
                            'latency': {'average': 29.75,
                                        'hdrh': u'HISTFAAAAEV4nJN...CALilDG0=',
                                        'histogram': {20: 261,
                                                        30: 431,
                                                        40: 3,
                                                        50: 80,
                                                        60: 225},
                                        'jitter': 23,
                                        'last_max': 67,
                                        'total_max': 67,
                                        'total_min': 20}},
                    384: {'err_cntrs': {'dropped': 0,
                                        'dup': 0,
                                        'out_of_order': 0,
                                        'seq_too_high': 0,
                                        'seq_too_low': 0},
                            'latency': {'average': 18.0,
                                        'hdrh': u'HISTFAAAADR4nJNpm...MjCwDDxAZG',
                                        'histogram': {20: 987, 30: 14},
                                        'jitter': 0,
                                        'last_max': 34,
                                        'total_max': 34,
                                        'total_min': 20}},
                    385: {'err_cntrs': {'dropped': 0,
                                    'dup': 0,
                                    'out_of_order': 0,
                                    'seq_too_high': 0,
                                    'seq_too_low': 0},
                            'latency': {'average': 19.0,
                                        'hdrh': u'HISTFAAAADR4nJNpm...NkYmJgDdagfK',
                                        'histogram': {20: 989, 30: 11},
                                        'jitter': 0,
                                        'last_max': 38,
                                        'total_max': 38,
                                        'total_min': 20}},
                    'global': {'bad_hdr': 0, 'old_flow': 0}},
        """
        total_max = 0
        average = 0
        total_min = float("inf")
        for chain_id in range(self.chain_count):
            try:
                _, lat_pg_id = self.get_pg_id(port_handle, chain_id)
                lat = in_stats['latency'][lat_pg_id]['latency']
                # dropped_pkts += lat['err_cntrs']['dropped']
                total_max = max(lat['total_max'], total_max)
                total_min = min(lat['total_min'], total_min)
                average += lat['average']
            except KeyError:
                pass
        if total_min == float("inf"):
            total_min = 0
        results['min_delay_usec'] = total_min
        results['max_delay_usec'] = total_max
        results['avg_delay_usec'] = int(average / self.chain_count)

    def _bind_vxlan(self):
        bind_layers(UDP, VXLAN, dport=4789)
        bind_layers(VXLAN, Ether)

    def _create_pkt(self, stream_cfg, l2frame_size):
        """Create a packet of given size.

        l2frame_size: size of the L2 frame in bytes (including the 32-bit FCS)
        """
        # Trex will add the FCS field, so we need to remove 4 bytes from the l2 frame size
        frame_size = int(l2frame_size) - 4
        vm_param = []
        if stream_cfg['vxlan'] is True:
            self._bind_vxlan()
            encap_level = '1'
            pkt_base = Ether(src=stream_cfg['vtep_src_mac'], dst=stream_cfg['vtep_dst_mac'])
            if stream_cfg['vtep_vlan'] is not None:
                pkt_base /= Dot1Q(vlan=stream_cfg['vtep_vlan'])
            pkt_base /= IP(src=stream_cfg['vtep_src_ip'], dst=stream_cfg['vtep_dst_ip'])
            pkt_base /= UDP(sport=random.randint(1337, 32767), dport=4789)
            pkt_base /= VXLAN(vni=stream_cfg['net_vni'])
            pkt_base /= Ether(src=stream_cfg['mac_src'], dst=stream_cfg['mac_dst'])
            # need to randomize the outer header UDP src port based on flow
            vxlan_udp_src_fv = STLVmFlowVar(
                name="vxlan_udp_src",
                min_value=1337,
                max_value=32767,
                size=2,
                op="random")
            vm_param = [vxlan_udp_src_fv,
                        STLVmWrFlowVar(fv_name="vxlan_udp_src", pkt_offset="UDP.sport")]
        else:
            encap_level = '0'
            pkt_base = Ether(src=stream_cfg['mac_src'], dst=stream_cfg['mac_dst'])

        if stream_cfg['vlan_tag'] is not None:
            pkt_base /= Dot1Q(vlan=stream_cfg['vlan_tag'])

        udp_args = {}
        if stream_cfg['udp_src_port']:
            udp_args['sport'] = int(stream_cfg['udp_src_port'])
        if stream_cfg['udp_dst_port']:
            udp_args['dport'] = int(stream_cfg['udp_dst_port'])
        pkt_base /= IP() / UDP(**udp_args)

        if stream_cfg['ip_addrs_step'] == 'random':
            src_fv = STLVmFlowVarRepeatableRandom(
                name="ip_src",
                min_value=stream_cfg['ip_src_addr'],
                max_value=stream_cfg['ip_src_addr_max'],
                size=4,
                seed=random.randint(0, 32767),
                limit=stream_cfg['ip_src_count'])
            dst_fv = STLVmFlowVarRepeatableRandom(
                name="ip_dst",
                min_value=stream_cfg['ip_dst_addr'],
                max_value=stream_cfg['ip_dst_addr_max'],
                size=4,
                seed=random.randint(0, 32767),
                limit=stream_cfg['ip_dst_count'])
        else:
            src_fv = STLVmFlowVar(
                name="ip_src",
                min_value=stream_cfg['ip_src_addr'],
                max_value=stream_cfg['ip_src_addr'],
                size=4,
                op="inc",
                step=stream_cfg['ip_addrs_step'])
            dst_fv = STLVmFlowVar(
                name="ip_dst",
                min_value=stream_cfg['ip_dst_addr'],
                max_value=stream_cfg['ip_dst_addr_max'],
                size=4,
                op="inc",
                step=stream_cfg['ip_addrs_step'])

        vm_param.extend([
            src_fv,
            STLVmWrFlowVar(fv_name="ip_src", pkt_offset="IP:{}.src".format(encap_level)),
            dst_fv,
            STLVmWrFlowVar(fv_name="ip_dst", pkt_offset="IP:{}.dst".format(encap_level))
        ])

        for encap in range(int(encap_level), -1, -1):
            # Fixing the checksums for all encap levels
            vm_param.append(STLVmFixChecksumHw(l3_offset="IP:{}".format(encap),
                                               l4_offset="UDP:{}".format(encap),
                                               l4_type=CTRexVmInsFixHwCs.L4_TYPE_UDP))
        pad = max(0, frame_size - len(pkt_base)) * 'x'

        return STLPktBuilder(pkt=pkt_base / pad, vm=STLScVmRaw(vm_param))

    def generate_streams(self, port, chain_id, stream_cfg, l2frame, latency=True,
                         e2e=False):
        """Create a list of streams corresponding to a given chain and stream config.

        port: port where the streams originate (0 or 1)
        chain_id: the chain to which the streams are associated to
        stream_cfg: stream configuration
        l2frame: L2 frame size (including 4-byte FCS) or 'IMIX'
        latency: if True also create a latency stream
        e2e: True if performing "end to end" connectivity check
        """
        streams = []
        pg_id, lat_pg_id = self.get_pg_id(port, chain_id)
        if l2frame == 'IMIX':
            for ratio, l2_frame_size in zip(IMIX_RATIOS, IMIX_L2_SIZES):
                pkt = self._create_pkt(stream_cfg, l2_frame_size)
                if e2e:
                    streams.append(STLStream(packet=pkt,
                                             mode=STLTXCont(pps=ratio)))
                else:
                    if stream_cfg['vxlan'] is True:
                        streams.append(STLStream(packet=pkt,
                                                 flow_stats=STLFlowStats(pg_id=pg_id,
                                                                         vxlan=True),
                                                 mode=STLTXCont(pps=ratio)))
                    else:
                        streams.append(STLStream(packet=pkt,
                                                 flow_stats=STLFlowStats(pg_id=pg_id),
                                                 mode=STLTXCont(pps=ratio)))

            if latency:
                # for IMIX, the latency packets have the average IMIX packet size
                pkt = self._create_pkt(stream_cfg, IMIX_AVG_L2_FRAME_SIZE)

        else:
            l2frame_size = int(l2frame)
            pkt = self._create_pkt(stream_cfg, l2frame_size)
            if e2e:
                streams.append(STLStream(packet=pkt,
                                         mode=STLTXCont()))
            else:
                if stream_cfg['vxlan'] is True:
                    streams.append(STLStream(packet=pkt,
                                             flow_stats=STLFlowStats(pg_id=pg_id,
                                                                     vxlan=True),
                                             mode=STLTXCont()))
                else:
                    streams.append(STLStream(packet=pkt,
                                             flow_stats=STLFlowStats(pg_id=pg_id),
                                             mode=STLTXCont()))
            # for the latency stream, the minimum payload is 16 bytes even in case of vlan tagging
            # without vlan, the min l2 frame size is 64
            # with vlan it is 68
            # This only applies to the latency stream
            if latency and stream_cfg['vlan_tag'] and l2frame_size < 68:
                pkt = self._create_pkt(stream_cfg, 68)

        if latency:
            # TRex limitation: VXLAN skip is not supported for latency stream
            streams.append(STLStream(packet=pkt,
                                     flow_stats=STLFlowLatencyStats(pg_id=lat_pg_id),
                                     mode=STLTXCont(pps=self.LATENCY_PPS)))
        return streams

    @timeout(5)
    def __connect(self, client):
        client.connect()

    def __connect_after_start(self):
        # after start, Trex may take a bit of time to initialize
        # so we need to retry a few times
        for it in xrange(self.config.generic_retry_count):
            try:
                time.sleep(1)
                self.client.connect()
                break
            except Exception as ex:
                if it == (self.config.generic_retry_count - 1):
                    raise
                LOG.info("Retrying connection to TRex (%s)...", ex.message)

    def connect(self):
        """Connect to the TRex server."""
        server_ip = self.generator_config.ip
        LOG.info("Connecting to TRex (%s)...", server_ip)

        # Connect to TRex server
        self.client = STLClient(server=server_ip, sync_port=self.generator_config.zmq_rpc_port,
                                async_port=self.generator_config.zmq_pub_port)
        try:
            self.__connect(self.client)
            if server_ip == '127.0.0.1':
                config_updated = self.__check_config()
                if config_updated or self.config.restart:
                    self.__restart()
        except (TimeoutError, STLError) as e:
            if server_ip == '127.0.0.1':
                self.__start_local_server()
            else:
                raise TrafficGeneratorException(e.message)

        ports = list(self.generator_config.ports)
        self.port_handle = ports
        # Prepare the ports
        self.client.reset(ports)
        # Read HW information from each port
        # this returns an array of dict (1 per port)
        """
        Example of output for Intel XL710
        [{'arp': '-', 'src_ipv4': '-', u'supp_speeds': [40000], u'is_link_supported': True,
          'grat_arp': 'off', 'speed': 40, u'index': 0, 'link_change_supported': 'yes',
          u'rx': {u'counters': 127, u'caps': [u'flow_stats', u'latency']},
          u'is_virtual': 'no', 'prom': 'off', 'src_mac': u'3c:fd:fe:a8:24:48', 'status': 'IDLE',
          u'description': u'Ethernet Controller XL710 for 40GbE QSFP+',
          'dest': u'fa:16:3e:3c:63:04', u'is_fc_supported': False, 'vlan': '-',
          u'driver': u'net_i40e', 'led_change_supported': 'yes', 'rx_filter_mode': 'hardware match',
          'fc': 'none', 'link': 'UP', u'hw_mac': u'3c:fd:fe:a8:24:48', u'pci_addr': u'0000:5e:00.0',
          'mult': 'off', 'fc_supported': 'no', u'is_led_supported': True, 'rx_queue': 'off',
          'layer_mode': 'Ethernet', u'numa': 0}, ...]
        """
        self.port_info = self.client.get_port_info(ports)
        LOG.info('Connected to TRex')
        for id, port in enumerate(self.port_info):
            LOG.info('   Port %d: %s speed=%dGbps mac=%s pci=%s driver=%s',
                     id, port['description'], port['speed'], port['src_mac'],
                     port['pci_addr'], port['driver'])
        # Make sure the 2 ports have the same speed
        if self.port_info[0]['speed'] != self.port_info[1]['speed']:
            raise TrafficGeneratorException('Traffic generator ports speed mismatch: %d/%d Gbps' %
                                            (self.port_info[0]['speed'],
                                             self.port_info[1]['speed']))

    def __start_local_server(self):
        try:
            LOG.info("Starting TRex ...")
            self.__start_server()
            self.__connect_after_start()
        except (TimeoutError, STLError) as e:
            LOG.error('Cannot connect to TRex')
            LOG.error(traceback.format_exc())
            logpath = '/tmp/trex.log'
            if os.path.isfile(logpath):
                # Wait for TRex to finish writing error message
                last_size = 0
                for _ in xrange(self.config.generic_retry_count):
                    size = os.path.getsize(logpath)
                    if size == last_size:
                        # probably not writing anymore
                        break
                    last_size = size
                    time.sleep(1)
                with open(logpath, 'r') as f:
                    message = f.read()
            else:
                message = e.message
            raise TrafficGeneratorException(message)

    def __start_server(self):
        server = TRexTrafficServer()
        server.run_server(self.generator_config)

    def __check_config(self):
        server = TRexTrafficServer()
        return server.check_config_updated(self.generator_config)

    def __restart(self):
        LOG.info("Restarting TRex ...")
        self.__stop_server()
        # Wait for server stopped
        for _ in xrange(self.config.generic_retry_count):
            time.sleep(1)
            if not self.client.is_connected():
                LOG.info("TRex is stopped...")
                break
        self.__start_local_server()

    def __stop_server(self):
        if self.generator_config.ip == '127.0.0.1':
            ports = self.client.get_acquired_ports()
            LOG.info('Release ports %s and stopping TRex...', ports)
            try:
                if ports:
                    self.client.release(ports=ports)
                self.client.server_shutdown()
            except STLError as e:
                LOG.warn('Unable to stop TRex. Error: %s', e)
        else:
            LOG.info('Using remote TRex. Unable to stop TRex')

    def resolve_arp(self):
        """Resolve all configured remote IP addresses.

        return: None if ARP failed to resolve for all IP addresses
                else a dict of list of dest macs indexed by port#
                the dest macs in the list are indexed by the chain id
        """
        self.client.set_service_mode(ports=self.port_handle)
        LOG.info('Polling ARP until successful...')
        arp_dest_macs = {}
        for port, device in zip(self.port_handle, self.generator_config.devices):
            # there should be 1 stream config per chain
            stream_configs = device.get_stream_configs()
            chain_count = len(stream_configs)
            ctx = self.client.create_service_ctx(port=port)
            # all dest macs on this port indexed by chain ID
            dst_macs = [None] * chain_count
            dst_macs_count = 0
            # the index in the list is the chain id
            if self.config.vxlan:
                arps = [
                    ServiceARP(ctx,
                               src_ip=device.vtep_src_ip,
                               dst_ip=device.vtep_dst_ip,
                               vlan=device.vtep_vlan)
                    for cfg in stream_configs
                ]
            else:
                arps = [
                    ServiceARP(ctx,
                               src_ip=cfg['ip_src_tg_gw'],
                               dst_ip=cfg['mac_discovery_gw'],
                               # will be None if no vlan tagging
                               vlan=cfg['vlan_tag'])
                    for cfg in stream_configs
                ]

            for attempt in range(self.config.generic_retry_count):
                try:
                    ctx.run(arps)
                except STLError:
                    LOG.error(traceback.format_exc())
                    continue

                unresolved = []
                for chain_id, mac in enumerate(dst_macs):
                    if not mac:
                        arp_record = arps[chain_id].get_record()
                        if arp_record.dst_mac:
                            dst_macs[chain_id] = arp_record.dst_mac
                            dst_macs_count += 1
                            LOG.info('   ARP: port=%d chain=%d src IP=%s dst IP=%s -> MAC=%s',
                                     port, chain_id,
                                     arp_record.src_ip,
                                     arp_record.dst_ip, arp_record.dst_mac)
                        else:
                            unresolved.append(arp_record.dst_ip)
                if dst_macs_count == chain_count:
                    arp_dest_macs[port] = dst_macs
                    LOG.info('ARP resolved successfully for port %s', port)
                    break
                else:
                    retry = attempt + 1
                    LOG.info('Retrying ARP for: %s (retry %d/%d)',
                             unresolved, retry, self.config.generic_retry_count)
                    if retry < self.config.generic_retry_count:
                        time.sleep(self.config.generic_poll_sec)
            else:
                LOG.error('ARP timed out for port %s (resolved %d out of %d)',
                          port,
                          dst_macs_count,
                          chain_count)
                break

        self.client.set_service_mode(ports=self.port_handle, enabled=False)
        if len(arp_dest_macs) == len(self.port_handle):
            return arp_dest_macs
        return None

    def __is_rate_enough(self, l2frame_size, rates, bidirectional, latency):
        """Check if rate provided by user is above requirements. Applies only if latency is True."""
        intf_speed = self.generator_config.intf_speed
        if latency:
            if bidirectional:
                mult = 2
                total_rate = 0
                for rate in rates:
                    r = utils.convert_rates(l2frame_size, rate, intf_speed)
                    total_rate += int(r['rate_pps'])
            else:
                mult = 1
                total_rate = utils.convert_rates(l2frame_size, rates[0], intf_speed)
            # rate must be enough for latency stream and at least 1 pps for base stream per chain
            required_rate = (self.LATENCY_PPS + 1) * self.config.service_chain_count * mult
            result = utils.convert_rates(l2frame_size,
                                         {'rate_pps': required_rate},
                                         intf_speed * mult)
            result['result'] = total_rate >= required_rate
            return result

        return {'result': True}

    def create_traffic(self, l2frame_size, rates, bidirectional, latency=True, e2e=False):
        """Program all the streams in Trex server.

        l2frame_size: L2 frame size or IMIX
        rates: a list of 2 rates to run each direction
               each rate is a dict like {'rate_pps': '10kpps'}
        bidirectional: True if bidirectional
        latency: True if latency measurement is needed
        e2e: True if performing "end to end" connectivity check
        """
        r = self.__is_rate_enough(l2frame_size, rates, bidirectional, latency)
        if not r['result']:
            raise TrafficGeneratorException(
                'Required rate in total is at least one of: \n{pps}pps \n{bps}bps \n{load}%.'
                .format(pps=r['rate_pps'],
                        bps=r['rate_bps'],
                        load=r['rate_percent']))
        # a dict of list of streams indexed by port#
        # in case of fixed size, has self.chain_count * 2 * 2 streams
        # (1 normal + 1 latency stream per direction per chain)
        # for IMIX, has self.chain_count * 2 * 4 streams
        # (3 normal + 1 latency stream per direction per chain)
        streamblock = {}
        for port in self.port_handle:
            streamblock[port] = []
        stream_cfgs = [d.get_stream_configs() for d in self.generator_config.devices]
        self.rates = [utils.to_rate_str(rate) for rate in rates]
        for chain_id, (fwd_stream_cfg, rev_stream_cfg) in enumerate(zip(*stream_cfgs)):
            streamblock[0].extend(self.generate_streams(self.port_handle[0],
                                                        chain_id,
                                                        fwd_stream_cfg,
                                                        l2frame_size,
                                                        latency=latency,
                                                        e2e=e2e))
            if len(self.rates) > 1:
                streamblock[1].extend(self.generate_streams(self.port_handle[1],
                                                            chain_id,
                                                            rev_stream_cfg,
                                                            l2frame_size,
                                                            latency=bidirectional and latency,
                                                            e2e=e2e))

        for port in self.port_handle:
            if self.config.vxlan:
                self.client.set_port_attr(ports=port, vxlan_fs=[4789])
            else:
                self.client.set_port_attr(ports=port, vxlan_fs=None)
            self.client.add_streams(streamblock[port], ports=port)
            LOG.info('Created %d traffic streams for port %s.', len(streamblock[port]), port)

    def clear_streamblock(self):
        """Clear all streams from TRex."""
        self.rates = []
        self.client.reset(self.port_handle)
        LOG.info('Cleared all existing streams')

    def get_stats(self):
        """Get stats from Trex."""
        stats = self.client.get_stats()
        return self.extract_stats(stats)

    def get_macs(self):
        """Return the Trex local port MAC addresses.

        return: a list of MAC addresses indexed by the port#
        """
        return [port['src_mac'] for port in self.port_info]

    def get_port_speed_gbps(self):
        """Return the Trex local port MAC addresses.

        return: a list of speed in Gbps indexed by the port#
        """
        return [port['speed'] for port in self.port_info]

    def clear_stats(self):
        """Clear all stats in the traffic gneerator."""
        if self.port_handle:
            self.client.clear_stats()

    def start_traffic(self):
        """Start generating traffic in all ports."""
        for port, rate in zip(self.port_handle, self.rates):
            self.client.start(ports=port, mult=rate, duration=self.config.duration_sec, force=True)

    def stop_traffic(self):
        """Stop generating traffic."""
        self.client.stop(ports=self.port_handle)

    def start_capture(self):
        """Capture all packets on both ports that are unicast to us."""
        if self.capture_id:
            self.stop_capture()
        # Need to filter out unwanted packets so we do not end up counting
        # src MACs of frames that are not unicast to us
        src_mac_list = self.get_macs()
        bpf_filter = "ether dst %s or ether dst %s" % (src_mac_list[0], src_mac_list[1])
        # ports must be set in service in order to enable capture
        self.client.set_service_mode(ports=self.port_handle)
        self.capture_id = self.client.start_capture(rx_ports=self.port_handle,
                                                    bpf_filter=bpf_filter)

    def fetch_capture_packets(self):
        """Fetch capture packets in capture mode."""
        if self.capture_id:
            self.packet_list = []
            self.client.fetch_capture_packets(capture_id=self.capture_id['id'],
                                              output=self.packet_list)

    def stop_capture(self):
        """Stop capturing packets."""
        if self.capture_id:
            self.client.stop_capture(capture_id=self.capture_id['id'])
            self.capture_id = None
            self.client.set_service_mode(ports=self.port_handle, enabled=False)

    def cleanup(self):
        """Cleanup Trex driver."""
        if self.client:
            try:
                self.client.reset(self.port_handle)
                self.client.disconnect()
            except STLError:
                # TRex does not like a reset while in disconnected state
                pass
Ejemplo n.º 2
0
def main():

    parser = argparse.ArgumentParser(description="")

    parser.add_argument(
        "--ip_src",
        type=str,
        default="192.168.17.1",
        help="Source IP address for all packets in the stream.",
    )
    parser.add_argument(
        "--ip_dst",
        type=str,
        default="192.168.17.2",
        help="Destination IP address for all packets in the stream.",
    )

    # Due to different packet sizes, it is easier to keep the PPS fixed.
    # 0.25 Mpps -> about 3Gbps bit rate.
    parser.add_argument(
        "--pps", type=float, default=0.25, help="Transmit L1 rate in Mpps."
    )

    # This is "configured" to give some space for power management ;)
    parser.add_argument(
        "--tot_pkts_burst",
        type=int,
        default=50 * 10 ** 3,
        help="Total number of packets in each single burst.",
    )

    parser.add_argument(
        "--model",
        type=str,
        default="poisson",
        choices=["poisson", "pareto"],
        help="To be used traffic model.",
    )
    # MARK: Currently NOT implemented.
    parser.add_argument(
        "--src_num", type=int, default=1, help="Number of flow sources."
    )

    parser.add_argument(
        "--burst_num",
        type=int,
        default=100,
        help="The number of bursts in one test round.",
    )

    parser.add_argument("--test", action="store_true", help="Just used for debug.")

    parser.add_argument(
        "--out", type=str, default="", help="Stores file with given name"
    )

    args = parser.parse_args()
    print(f"* The fastest reaction time of X-MEN: {X_MEN_REACTION_TIME} seconds.")
    print(f"* Traffic model: {args.model}")

    l3_data = {"ip_src": args.ip_src, "ip_dst": args.ip_dst}
    streams, flow_duration = get_streams(
        args.pps,
        args.burst_num,
        args.model,
        args.src_num,
        args.tot_pkts_burst,
        l3_data,
        args.test,
    )

    if args.test:
        pprint.pp([s.to_json() for s in streams[:3]])
        sys.exit(0)

    print(f"* Flow duration: {flow_duration} seconds.")

    try:
        client = STLClient()
        client.connect()
        tx_port, rx_port = init_ports(client)
        client.add_streams(streams, ports=[tx_port])

        start_ts = time.time()
        client.clear_stats()
        client.start(ports=[tx_port], force=True)

        rx_delay_sec = flow_duration + 5
        print(f"The estimated RX delay: {rx_delay_sec} seconds.")
        client.wait_on_traffic(rx_delay_ms=3000)  # rx_delay_sec * 10 ** 3)
        end_ts = time.time()
        test_dur = end_ts - start_ts
        print(f"Total test duration: {test_dur} seconds")

        err_cntrs_results, latency_results = get_rx_stats(
            client, tx_port, rx_port, args.burst_num
        )

        print("--- The latency results of all streams:")
        for m_burst in range(args.burst_num):
            # Include ISG duratio, packet size and time stamps into .json dump
            err_cntrs_results[m_burst]["isg"] = ISGS_SAVE[m_burst]
            err_cntrs_results[m_burst]["len"] = IP_TOT_LENS_SAVE[m_burst]
            err_cntrs_results[m_burst]["start_ts"] = start_ts
            err_cntrs_results[m_burst]["end_ts"] = end_ts
            print("Burst ", m_burst)
            print("ISG: ", ISGS_SAVE[m_burst])
            print("Dropped: ", err_cntrs_results[m_burst]["dropped"])
            print("Latency: ", latency_results[m_burst]["average"])
            # print(err_cntrs_results[m_burst])
            # print(latency_results[m_burst])
        if args.out:
            savedir_latency = "/home/malte/malte/latency/"
            savedir_error = "/home/malte/malte/error/"
            if not os.path.exists(savedir_latency):
                os.mkdir(savedir_latency)
            if not os.path.exists(savedir_error):
                os.mkdir(savedir_error)
            savedir_latency += args.out + "_latency.json"
            savedir_error += args.out + "_error.json"
            print("\nResults: ", savedir_latency, ", ", savedir_error)
            save_rx_stats(err_cntrs_results, savedir_error, args.burst_num)
            save_rx_stats(latency_results, savedir_latency, args.burst_num)

    except STLError as error:
        print(error)

    finally:
        client.disconnect()
Ejemplo n.º 3
0
def main():
    global IP_TOT_LEN

    parser = argparse.ArgumentParser(
        description=
        "On/Off traffic of a deterministic and stateless stream profile.")

    parser.add_argument(
        "--ip_src",
        type=str,
        default="192.168.17.1",
        help="Source IP address for all packets in the stream.",
    )
    parser.add_argument(
        "--ip_dst",
        type=str,
        default="192.168.17.2",
        help="Destination IP address for all packets in the stream.",
    )

    parser.add_argument(
        "--max_bit_rate",
        type=float,
        default=1,
        help="Maximal bit rate (with the unit Gbps) of the underlying network.",
    )
    parser.add_argument("--on_time",
                        type=int,
                        default=2,
                        help="ON time in seconds.")
    parser.add_argument(
        "--init_off_on_ratio",
        type=float,
        default=0.5,
        help="Initial ratio between OFF and ON time.",
    )
    parser.add_argument(
        "--iteration",
        type=int,
        default=1,
        help="Number of iterations for the ON state of each PPS.",
    )
    parser.add_argument(
        "--numa_node",
        type=int,
        default=0,
        help="The NUMA node of cores used for TX and RX.",
    )
    parser.add_argument("--test",
                        action="store_true",
                        help="Just used for debug.")
    parser.add_argument(
        "--out",
        type=str,
        default="",
        help=
        "The name of the output file, stored in /home/malte/malte/latency if given",
    )
    parser.add_argument(
        "--ip_tot_len",
        type=int,
        default=IP_TOT_LEN,
        help="The IP total length of packets to be transmitted.",
    )
    parser.add_argument(
        "--enable_second_flow",
        action="store_true",
        help="Enable the second flow, used to test two-vnf setup.",
    )
    parser.add_argument(
        "--soft",
        action="store_true",
        help="Different overlap for sencond flow, it's easier to scale ;)",
    )

    args = parser.parse_args()

    IP_TOT_LEN = args.ip_tot_len

    stream_params = create_stream_params(
        args.max_bit_rate,
        args.on_time,
        args.init_off_on_ratio,
        args.iteration,
        args.test,
    )
    print("\n--- Initial stream parameters:")
    pprint.pp(stream_params)
    print()

    if args.enable_second_flow:
        print(
            "INFO: The second flow is enabled. Two flows share the physical link."
        )
        # Simply reverse the link utilizations
        second_stream_params = copy.deepcopy(list(reversed(stream_params)))
        # Change ISG's of 2nd flow to 2s
        for s in second_stream_params:
            s["on_time"] = args.on_time - (args.on_time * 0.2)
            s["isg"] = s["isg"] + (args.on_time * 0.2) * 10**6
        # Reset ISG of first stream of the 2nd flow back to 1
        # -> they always start together then
        if args.soft:
            second_stream_params[0]["isg"] = 1 * 10**6
        print("\n--- Updated stream parameters with the second flow:")
        pprint.pp(second_stream_params)

    # Does not work on the blackbox
    # core_mask = get_core_mask(args.numa_node)
    # print(f"The core mask for RX and TX: {hex(core_mask)}")

    if args.enable_second_flow:
        streams = create_streams_with_second_flow(stream_params,
                                                  second_stream_params,
                                                  args.ip_src, args.ip_dst)
    else:
        streams = create_streams(stream_params, args.ip_src, args.ip_dst)
        second_stream_params = None

    if args.test:
        pprint.pp([s.to_json() for s in streams])
        import sys

        sys.exit(0)

    if args.enable_second_flow:
        RX_DELAY_S = (sum([s["on_time"] for s in stream_params])) / 2.0 + 3
    else:
        RX_DELAY_S = sum([s["on_time"] for s in stream_params]) + 3

    RX_DELAY_MS = 3 * 1000  # Time after last Tx to wait for the last packet at Rx side

    try:
        client = STLClient()
        client.connect()
        tx_port, rx_port = init_ports(client)
        client.add_streams(streams, ports=[tx_port])

        # Start TX
        start_ts = time.time()
        client.clear_stats()
        # All cores in the core_mask is used by the tx_port and its adjacent
        # port, so it is the rx_port normally.
        # client.start(ports=[tx_port], core_mask=[core_mask], force=True)
        client.start(ports=[tx_port], force=True)

        print(f"The estimated RX delay: {RX_DELAY_MS / 1000} seconds.")
        client.wait_on_traffic(rx_delay_ms=RX_DELAY_MS)
        end_ts = time.time()
        test_dur = end_ts - start_ts
        print(f"Total test duration: {test_dur} seconds")

        # Check RX stats.
        # MARK: All latency results are in usec.
        err_cntrs_results, latency_results = get_rx_stats(
            client,
            tx_port,
            rx_port,
            stream_params,
            second_stream_params=second_stream_params,
        )
        print("--- The latency results of all streams:")
        print(f"- Number of streams first flow: {len(latency_results[0])}")
        for index, _ in enumerate(stream_params):
            print(f"- Stream: {index}")
            # Add timestamps to .json dump to parse turbostat results later
            err_cntrs_results[0][index]["start_ts"] = start_ts
            err_cntrs_results[0][index]["end_ts"] = end_ts
            print(err_cntrs_results[0][index])
            print(latency_results[0][index])
        # Save stats as .json dump
        if args.out:
            savedir_latency = "/home/malte/malte/latency/flow1/"
            savedir_error = "/home/malte/malte/error/flow1/"
            if not os.path.exists(savedir_latency):
                os.mkdir(savedir_latency)
            if not os.path.exists(savedir_error):
                os.mkdir(savedir_error)
            savedir_latency += args.out + "_latency.json"
            savedir_error += args.out + "_error.json"
            print("\nResults: ", savedir_latency, ", ", savedir_error)
            save_rx_stats(err_cntrs_results[0], savedir_error, stream_params)
            save_rx_stats(latency_results[0], savedir_latency, stream_params)
        if second_stream_params is not None:
            print(
                f"\n\n- Number of streams second flow: {len(latency_results[1])}"
            )
            for index, _ in enumerate(stream_params):
                print(f"- Stream: {index}")
                err_cntrs_results[1][index]["start_ts"] = start_ts
                err_cntrs_results[1][index]["end_ts"] = end_ts
                print(err_cntrs_results[1][index])
                print(latency_results[1][index])
            if args.out:
                savedir_latency = "/home/malte/malte/latency/flow2/"
                savedir_error = "/home/malte/malte/error/flow2/"
                if not os.path.exists(savedir_latency):
                    os.mkdir(savedir_latency)
                if not os.path.exists(savedir_error):
                    os.mkdir(savedir_error)
                savedir_latency += args.out + "_latency.json"
                savedir_error += args.out + "_error.json"
                print("\nResults: ", savedir_latency, ", ", savedir_error)
                save_rx_stats(err_cntrs_results[1], savedir_error,
                              stream_params)
                save_rx_stats(latency_results[1], savedir_latency,
                              stream_params)

    except STLError as error:
        print(error)

    finally:
        client.disconnect()
Ejemplo n.º 4
0
def simple_burst(
    profile_file,
    duration,
    framesize,
    rate,
    port_0,
    port_1,
    latency,
    async_start=False,
    traffic_directions=2,
    force=False,
    delay=0.0,
):
    """Send traffic and measure packet loss and latency.

    Procedure:
     - reads the given traffic profile with streams,
     - connects to the T-rex client,
     - resets the ports,
     - removes all existing streams,
     - adds streams from the traffic profile to the ports,
     - if the warm-up time is more than 0, sends the warm-up traffic, reads the
       statistics,
     - clears the statistics from the client,
     - starts the traffic,
     - waits for the defined time (or runs forever if async mode is defined),
     - stops the traffic,
     - reads and displays the statistics and
     - disconnects from the client.

    :param profile_file: A python module with T-rex traffic profile.
    :param framesize: Frame size.
    :param duration: Duration of traffic run in seconds (-1=infinite).
    :param rate: Traffic rate [percentage, pps, bps].
    :param port_0: Port 0 on the traffic generator.
    :param port_1: Port 1 on the traffic generator.
    :param latency: With latency stats.
    :param async_start: Start the traffic and exit.
    :param traffic_directions: Bidirectional (2) or unidirectional (1) traffic.
    :param force: Force start regardless of ports state.
    :param delay: Sleep overhead [s].
    :type profile_file: str
    :type framesize: int or str
    :type duration: float
    :type rate: str
    :type port_0: int
    :type port_1: int
    :type latency: bool
    :type async_start: bool
    :type traffic_directions: int
    :type force: bool
    :type delay: float
    """
    client = None
    total_rcvd = 0
    total_sent = 0
    approximated_duration = 0.0
    lost_a = 0
    lost_b = 0
    lat_a = u"-1/-1/-1/"
    lat_b = u"-1/-1/-1/"

    # Read the profile:
    try:
        print(f"### Profile file:\n{profile_file}")
        profile = STLProfile.load(profile_file,
                                  direction=0,
                                  port_id=0,
                                  framesize=framesize,
                                  rate=rate)
        streams = profile.get_streams()
    except STLError:
        print(f"Error while loading profile '{profile_file}'!")
        raise

    try:
        # Create the client:
        client = STLClient()
        # Connect to server:
        client.connect()
        # Prepare our ports (the machine has 0 <--> 1 with static route):
        client.reset(ports=[port_0, port_1])
        client.remove_all_streams(ports=[port_0, port_1])

        if u"macsrc" in profile_file:
            client.set_port_attr(ports=[port_0, port_1], promiscuous=True)
        if isinstance(framesize, int):
            last_stream_a = int((len(streams) - 2) / 2)
            last_stream_b = (last_stream_a * 2)
            client.add_streams(streams[0:last_stream_a], ports=[port_0])
            if traffic_directions > 1:
                client.add_streams(streams[last_stream_a:last_stream_b],
                                   ports=[port_1])
        elif isinstance(framesize, str):
            client.add_streams(streams[0:3], ports=[port_0])
            if traffic_directions > 1:
                client.add_streams(streams[3:6], ports=[port_1])
        if latency:
            try:
                if isinstance(framesize, int):
                    client.add_streams(streams[last_stream_b], ports=[port_0])
                    if traffic_directions > 1:
                        client.add_streams(streams[last_stream_b + 1],
                                           ports=[port_1])
                elif isinstance(framesize, str):
                    latency = False
            except STLError:
                # Disable latency if NIC does not support requested stream type
                print(u"##### FAILED to add latency streams #####")
                latency = False
        ports = [port_0]
        if traffic_directions > 1:
            ports.append(port_1)

        # Clear the stats before injecting:
        client.clear_stats()
        lost_a = 0
        lost_b = 0

        # Choose rate and start traffic:
        client.start(
            ports=ports,
            mult=rate,
            duration=duration,
            force=force,
            core_mask=STLClient.CORE_MASK_PIN,
        )

        if async_start:
            # For async stop, we need to export the current snapshot.
            xsnap0 = client.ports[0].get_xstats().reference_stats
            print(f"Xstats snapshot 0: {xsnap0!r}")
            if traffic_directions > 1:
                xsnap1 = client.ports[1].get_xstats().reference_stats
                print(f"Xstats snapshot 1: {xsnap1!r}")
        else:
            time_start = time.monotonic()
            # wait_on_traffic fails if duration stretches by 30 seconds or more.
            # TRex has some overhead, wait some more.
            time.sleep(duration + delay)
            client.stop()
            time_stop = time.monotonic()
            approximated_duration = time_stop - time_start - delay
            # Read the stats after the traffic stopped (or time up).
            stats = client.get_stats()
            if client.get_warnings():
                for warning in client.get_warnings():
                    print(warning)
            # Now finish the complete reset.
            client.reset()

            print(u"##### Statistics #####")
            print(json.dumps(stats, indent=4, separators=(u",", u": ")))

            lost_a = stats[port_0][u"opackets"] - stats[port_1][u"ipackets"]
            if traffic_directions > 1:
                lost_b = stats[port_1][u"opackets"] - stats[port_0][u"ipackets"]

            # Stats index is not a port number, but "pgid".
            if latency:
                lat_obj = stats[u"latency"][0][u"latency"]
                lat_a = fmt_latency(str(lat_obj[u"total_min"]),
                                    str(lat_obj[u"average"]),
                                    str(lat_obj[u"total_max"]),
                                    str(lat_obj[u"hdrh"]))
                if traffic_directions > 1:
                    lat_obj = stats[u"latency"][1][u"latency"]
                    lat_b = fmt_latency(str(lat_obj[u"total_min"]),
                                        str(lat_obj[u"average"]),
                                        str(lat_obj[u"total_max"]),
                                        str(lat_obj[u"hdrh"]))

            if traffic_directions > 1:
                total_sent = stats[0][u"opackets"] + stats[1][u"opackets"]
                total_rcvd = stats[0][u"ipackets"] + stats[1][u"ipackets"]
            else:
                total_sent = stats[port_0][u"opackets"]
                total_rcvd = stats[port_1][u"ipackets"]

            print(f"\npackets lost from {port_0} --> {port_1}: {lost_a} pkts")
            if traffic_directions > 1:
                print(
                    f"packets lost from {port_1} --> {port_0}: {lost_b} pkts")

    except STLError:
        print(u"T-Rex STL runtime error!", file=sys.stderr)
        raise

    finally:
        if async_start:
            if client:
                client.disconnect(stop_traffic=False, release_ports=True)
        else:
            if client:
                client.disconnect()
            print(f"rate={rate!r}; "
                  f"total_received={total_rcvd}; "
                  f"total_sent={total_sent}; "
                  f"frame_loss={lost_a + lost_b}; "
                  f"target_duration={duration!r}; "
                  f"approximated_duration={approximated_duration!r}; "
                  f"latency_stream_0(usec)={lat_a}; "
                  f"latency_stream_1(usec)={lat_b}; ")
Ejemplo n.º 5
0
def main():
    global PAYLOAD_SIZE

    parser = argparse.ArgumentParser(
        description=
        "On/Off traffic of a deterministic and stateless stream profile.")

    parser.add_argument(
        "--ip_src",
        type=str,
        default="192.168.17.1",
        help="Source IP address for all packets in the stream.",
    )
    parser.add_argument(
        "--ip_dst",
        type=str,
        default="192.168.17.2",
        help="Destination IP address for all packets in the stream.",
    )

    parser.add_argument(
        "--max_bit_rate",
        type=float,
        default=1,
        help="Maximal bit rate (with the unit Gbps) of the underlying network.",
    )
    parser.add_argument("--on_time",
                        type=int,
                        default=2,
                        help="ON time in seconds.")
    parser.add_argument(
        "--init_off_on_ratio",
        type=float,
        default=0.5,
        help="Initial ratio between OFF and ON time.",
    )
    parser.add_argument(
        "--iteration",
        type=int,
        default=1,
        help="Number of iterations for the ON state of each PPS.",
    )
    parser.add_argument(
        "--numa_node",
        type=int,
        default=0,
        help="The NUMA node of cores used for TX and RX.",
    )
    parser.add_argument("--test",
                        action="store_true",
                        help="Just used for debug.")
    parser.add_argument(
        "--out",
        type=str,
        default="",
        help=
        "The name of the output file, stored in /home/malte/malte/latency if given",
    )
    parser.add_argument(
        "--payload_size",
        type=int,
        default=PAYLOAD_SIZE,
        help="Payload size of the packets",
    )

    args = parser.parse_args()

    PAYLOAD_SIZE = args.payload_size

    stream_params = create_stream_params(
        args.max_bit_rate,
        args.on_time,
        args.init_off_on_ratio,
        args.iteration,
        args.test,
    )
    print("\n--- To be used stream parameters:")
    pprint.pp(stream_params)
    print()

    # Does not work on the blackbox
    # core_mask = get_core_mask(args.numa_node)
    # print(f"The core mask for RX and TX: {hex(core_mask)}")

    streams = create_streams(stream_params, args.ip_src, args.ip_dst)
    if args.test:
        pprint.pp(streams)
        pprint.pp([s.to_json() for s in streams])

    RX_DELAY_S = sum([s["on_time"] for s in stream_params]) + 3
    RX_DELAY_MS = 3 * 1000  # Time after last Tx to wait for the last packet at Rx side

    try:
        client = STLClient()
        client.connect()
        tx_port, rx_port = init_ports(client)
        client.add_streams(streams, ports=[tx_port])

        # Start TX
        start_ts = time.time()
        client.clear_stats()
        # All cores in the core_mask is used by the tx_port and its adjacent
        # port, so it is the rx_port normally.
        # client.start(ports=[tx_port], core_mask=[core_mask], force=True)
        client.start(ports=[tx_port], force=True)

        print(f"The estimated RX delay: {RX_DELAY_MS / 1000} seconds.")
        client.wait_on_traffic(rx_delay_ms=RX_DELAY_MS)
        end_ts = time.time()
        test_dur = end_ts - start_ts
        print(f"Total test duration: {test_dur} seconds")

        # Check RX stats.
        # MARK: All latency results are in usec.
        # err_cntrs_results, latency_results = get_rx_stats(
        # client, tx_port, rx_port, stream_params
        # )
        err_cntrs_results, latency_results, flow_results = get_rx_stats(
            client, tx_port, rx_port, stream_params)
        print("--- The latency results of all streams:")
        print(f"- Number of streams: {len(latency_results)}")
        for index, _ in enumerate(stream_params):
            print(f"- Stream: {index}")
            err_cntrs_results[index]["start_ts"] = start_ts
            err_cntrs_results[index]["end_ts"] = end_ts
            print(err_cntrs_results[index])
            print(latency_results[index])
            print(flow_results[index])
        if args.out:
            savedir_latency = "/home/malte/malte/latency/" + args.out + "_latency.json"
            savedir_error = "/home/malte/malte/error/" + args.out + "_error.json"
            print("Results: ", savedir_latency, ", ", savedir_error)
            save_rx_stats(err_cntrs_results, savedir_error, stream_params)
            save_rx_stats(latency_results, savedir_latency, stream_params)

    except STLError as error:
        print(error)

    finally:
        client.disconnect()