from .MLRsearch.ReceiveRateMeasurement import ReceiveRateMeasurement
from .PLRsearch.PLRsearch import PLRsearch
-__all__ = ['TGDropRateSearchImpl', 'TrafficGenerator', 'OptimizedSearch']
+__all__ = [u"TGDropRateSearchImpl", u"TrafficGenerator", u"OptimizedSearch"]
def check_subtype(node):
:rtype: NodeSubTypeTG
:raises RuntimeError: If node is not supported, message explains how.
"""
- if node.get('type') is None:
- raise RuntimeError('Node type is not defined')
+ if node.get(u"type") is None:
+ msg = u"Node type is not defined"
elif node['type'] != NodeType.TG:
- raise RuntimeError('Node type is {typ!r}, not a TG'.format(
- typ=node['type']))
- elif node.get('subtype') is None:
- raise RuntimeError('TG subtype is not defined')
- elif node['subtype'] == NodeSubTypeTG.TREX:
+ msg = f"Node type is {node[u'type']!r}, not a TG"
+ elif node.get(u"subtype") is None:
+ msg = u"TG subtype is not defined"
+ elif node[u"subtype"] != NodeSubTypeTG.TREX:
+ msg = f"TG subtype {node[u'subtype']!r} is not supported"
+ else:
return NodeSubTypeTG.TREX
- raise RuntimeError('TG subtype {sub!r} is not supported'.format(
- sub=node['subtype']))
+ raise RuntimeError(msg)
class TGDropRateSearchImpl(DropRateSearch):
"""Drop Rate Search implementation."""
- def __init__(self):
- super(TGDropRateSearchImpl, self).__init__()
+ # def __init__(self):
+ # super(TGDropRateSearchImpl, self).__init__()
- def measure_loss(self, rate, frame_size, loss_acceptance,
- loss_acceptance_type, traffic_profile, skip_warmup=False):
+ def measure_loss(
+ self, rate, frame_size, loss_acceptance, loss_acceptance_type,
+ traffic_profile, skip_warmup=False):
"""Runs the traffic and evaluate the measured results.
:param rate: Offered traffic load.
# we need instance of TrafficGenerator instantiated by Robot Framework
# to be able to use trex_stl-*()
tg_instance = BuiltIn().get_library_instance(
- 'resources.libraries.python.TrafficGenerator')
+ u"resources.libraries.python.TrafficGenerator"
+ )
subtype = check_subtype(tg_instance.node)
if subtype == NodeSubTypeTG.TREX:
unit_rate = str(rate) + self.get_rate_type_str()
if skip_warmup:
tg_instance.trex_stl_start_remote_exec(
self.get_duration(), unit_rate, frame_size, traffic_profile,
- warmup_time=0.0)
+ warmup_time=0.0
+ )
else:
tg_instance.trex_stl_start_remote_exec(
- self.get_duration(), unit_rate, frame_size, traffic_profile)
+ self.get_duration(), unit_rate, frame_size, traffic_profile
+ )
loss = tg_instance.get_loss()
sent = tg_instance.get_sent()
if self.loss_acceptance_type_is_percentage():
loss = (float(loss) / float(sent)) * 100
- logger.trace("comparing: {los} < {acc} {typ}".format(
- los=loss, acc=loss_acceptance, typ=loss_acceptance_type))
+ logger.trace(
+ f"comparing: {loss} < {loss_acceptance} {loss_acceptance_type}"
+ )
return float(loss) <= float(loss_acceptance)
+ return False
def get_latency(self):
"""Returns min/avg/max latency.
:rtype: list
"""
tg_instance = BuiltIn().get_library_instance(
- 'resources.libraries.python.TrafficGenerator')
+ u"resources.libraries.python.TrafficGenerator"
+ )
return tg_instance.get_latency_int()
+# pylint: disable=too-many-instance-attributes
class TrafficGenerator(AbstractMeasurer):
"""Traffic Generator.
# TODO: Remove "trex" from lines which could work with other TGs.
# Use one instance of TrafficGenerator for all tests in test suite
- ROBOT_LIBRARY_SCOPE = 'TEST SUITE'
+ ROBOT_LIBRARY_SCOPE = u"TEST SUITE"
def __init__(self):
# TODO: Number of fields will be reduced with CSIT-1378.
self.frame_size = None
self.traffic_profile = None
self.warmup_time = None
+ self.traffic_directions = None
+ # Transient data needed for async measurements.
+ self._xstats = (None, None)
+ # TODO: Rename "xstats" to something opaque, so TRex is not privileged?
@property
def node(self):
"""
return self._latency
+ # pylint: disable=too-many-locals
def initialize_traffic_generator(
self, tg_node, tg_if1, tg_if2, tg_if1_adj_node, tg_if1_adj_if,
tg_if2_adj_node, tg_if2_adj_if, osi_layer, tg_if1_dst_mac=None,
if subtype == NodeSubTypeTG.TREX:
self._node = tg_node
- exec_cmd_no_error(
- self._node,
- "sh -c '{0}/resources/tools/trex/"
- "trex_installer.sh {1}'".format(Constants.REMOTE_FW_DIR,
- Constants.TREX_INSTALL_VERSION),
- sudo=True, timeout=1800, message='TRex installation failed.')
-
if1_pci = Topology().get_interface_pci_addr(self._node, tg_if1)
if2_pci = Topology().get_interface_pci_addr(self._node, tg_if2)
if1_addr = Topology().get_interface_mac(self._node, tg_if1)
if2_addr = Topology().get_interface_mac(self._node, tg_if2)
- if osi_layer == 'L2':
+ if osi_layer == u"L2":
if1_adj_addr = if2_addr
if2_adj_addr = if1_addr
- elif osi_layer == 'L3':
- if1_adj_addr = Topology().get_interface_mac(tg_if1_adj_node,
- tg_if1_adj_if)
- if2_adj_addr = Topology().get_interface_mac(tg_if2_adj_node,
- tg_if2_adj_if)
- elif osi_layer == 'L7':
+ elif osi_layer == u"L3":
+ if1_adj_addr = Topology().get_interface_mac(
+ tg_if1_adj_node, tg_if1_adj_if
+ )
+ if2_adj_addr = Topology().get_interface_mac(
+ tg_if2_adj_node, tg_if2_adj_if
+ )
+ elif osi_layer == u"L7":
if1_addr = Topology().get_interface_ip4(self._node, tg_if1)
if2_addr = Topology().get_interface_ip4(self._node, tg_if2)
- if1_adj_addr = Topology().get_interface_ip4(tg_if1_adj_node,
- tg_if1_adj_if)
- if2_adj_addr = Topology().get_interface_ip4(tg_if2_adj_node,
- tg_if2_adj_if)
+ if1_adj_addr = Topology().get_interface_ip4(
+ tg_if1_adj_node, tg_if1_adj_if
+ )
+ if2_adj_addr = Topology().get_interface_ip4(
+ tg_if2_adj_node, tg_if2_adj_if
+ )
else:
- raise ValueError("Unknown Test Type")
+ raise ValueError(u"Unknown Test Type")
# in case of switched environment we can override MAC addresses
if tg_if1_dst_mac is not None and tg_if2_dst_mac is not None:
if1_adj_addr, if2_adj_addr = if2_adj_addr, if1_adj_addr
self._ifaces_reordered = True
- if osi_layer == 'L2' or osi_layer == 'L3':
+ if osi_layer in (u"L2", u"L3"):
+ dst_mac0 = f"0x{if1_adj_addr.replace(u':', u',0x')}"
+ src_mac0 = f"0x{if1_addr.replace(u':', u',0x')}"
+ dst_mac1 = f"0x{if2_adj_addr.replace(u':', u',0x')}"
+ src_mac1 = f"0x{if2_addr.replace(u':', u',0x')}"
exec_cmd_no_error(
self._node,
- "sh -c 'cat << EOF > /etc/trex_cfg.yaml\n"
- "- version: 2\n"
- " interfaces: [\"{0}\",\"{1}\"]\n"
- " port_info:\n"
- " - dest_mac: [{2}]\n"
- " src_mac: [{3}]\n"
- " - dest_mac: [{4}]\n"
- " src_mac: [{5}]\n"
- "EOF'"\
- .format(if1_pci, if2_pci,
- "0x"+if1_adj_addr.replace(":", ",0x"),
- "0x"+if1_addr.replace(":", ",0x"),
- "0x"+if2_adj_addr.replace(":", ",0x"),
- "0x"+if2_addr.replace(":", ",0x")),
- sudo=True, message='TRex config generation error')
- elif osi_layer == 'L7':
+ f"sh -c 'cat << EOF > /etc/trex_cfg.yaml\n"
+ f"- version: 2\n"
+ f" interfaces: [\"{if1_pci}\",\"{if2_pci}\"]\n"
+ f" port_info:\n"
+ f" - dest_mac: [{dst_mac0}]\n"
+ f" src_mac: [{src_mac0}]\n"
+ f" - dest_mac: [{dst_mac1}]\n"
+ f" src_mac: [{src_mac1}]\n"
+ f"EOF'",
+ sudo=True, message=u"TRex config generation error"
+ )
+ elif osi_layer == u"L7":
exec_cmd_no_error(
self._node,
- "sh -c 'cat << EOF > /etc/trex_cfg.yaml\n"
- "- version: 2\n"
- " interfaces: [\"{0}\",\"{1}\"]\n"
- " port_info:\n"
- " - ip: [{2}]\n"
- " default_gw: [{3}]\n"
- " - ip: [{4}]\n"
- " default_gw: [{5}]\n"
- "EOF'"\
- .format(if1_pci, if2_pci,
- if1_addr, if1_adj_addr,
- if2_addr, if2_adj_addr),
- sudo=True, message='TRex config generation error')
+ f"sh -c 'cat << EOF > /etc/trex_cfg.yaml\n"
+ f"- version: 2\n"
+ f" interfaces: [\"{if1_pci}\",\"{if2_pci}\"]\n"
+ f" port_info:\n"
+ f" - ip: [{if1_addr}]\n"
+ f" default_gw: [{if1_adj_addr}]\n"
+ f" - ip: [{if2_addr}]\n"
+ f" default_gw: [{if2_adj_addr}]\n"
+ f"EOF'",
+ sudo=True, message=u"TRex config generation error"
+ )
else:
- raise ValueError("Unknown Test Type")
+ raise ValueError(u"Unknown Test Type")
self._startup_trex(osi_layer)
# No need to check subtype, we know it is TREX.
for _ in range(0, 3):
# Kill TRex only if it is already running.
- cmd = "sh -c 'pgrep t-rex && pkill t-rex && sleep 3 || true'"
+ cmd = u"sh -c \"pgrep t-rex && pkill t-rex && sleep 3 || true\""
exec_cmd_no_error(
- self._node, cmd, sudo=True, message='Kill TRex failed!')
+ self._node, cmd, sudo=True, message=u"Kill TRex failed!"
+ )
# Configure TRex.
ports = ''
- for port in self._node['interfaces'].values():
- ports += ' {pci}'.format(pci=port.get('pci_address'))
+ for port in self._node[u"interfaces"].values():
+ ports += f" {port.get(u'pci_address')}"
- cmd = ("sh -c 'cd {dir}/scripts/ && "
- "./dpdk_nic_bind.py -u {ports} || true'"
- .format(dir=Constants.TREX_INSTALL_DIR, ports=ports))
+ cmd = f"sh -c \"cd {Constants.TREX_INSTALL_DIR}/scripts/ && " \
+ f"./dpdk_nic_bind.py -u {ports} || true\""
exec_cmd_no_error(
self._node, cmd, sudo=True,
- message='Unbind PCI ports from driver failed!')
-
- cmd = ("sh -c 'cd {dir}/scripts/ && ./trex-cfg'"
- .format(dir=Constants.TREX_INSTALL_DIR))
- exec_cmd_no_error(
- self._node, cmd, sudo=True, message='Config TRex failed!')
+ message=u"Unbind PCI ports from driver failed!"
+ )
# Start TRex.
- cmd = ("sh -c 'cd {dir}/scripts/ && "
- "nohup ./t-rex-64 {mode} -i -c 7 > "
- "/tmp/trex.log 2>&1 &' > /dev/null"
- .format(dir=Constants.TREX_INSTALL_DIR,
- mode='--astf' if osi_layer == 'L7' else ''))
+ cmd = f"sh -c \"cd {Constants.TREX_INSTALL_DIR}/scripts/ && " \
+ f"nohup ./t-rex-64 " \
+ f"--hdrh{u' --astf' if osi_layer == u'L7' else u''} " \
+ f"--prefix $(hostname) -i -c 7 > /tmp/trex.log 2>&1 &\" > " \
+ f"/dev/null"
try:
exec_cmd_no_error(self._node, cmd, sudo=True)
except RuntimeError:
- cmd = "sh -c 'cat /tmp/trex.log'"
+ cmd = u"sh -c \"cat /tmp/trex.log\""
exec_cmd_no_error(
- self._node, cmd, sudo=True, message='Get TRex logs failed!')
- raise RuntimeError('Start TRex failed!')
+ self._node, cmd, sudo=True, message=u"Get TRex logs failed!"
+ )
+ raise RuntimeError(u"Start TRex failed!")
# Test if TRex starts successfuly.
- cmd = ("sh -c '{dir}/resources/tools/trex/trex_server_info.py'"
- .format(dir=Constants.REMOTE_FW_DIR))
+ cmd = f"sh -c \"{Constants.REMOTE_FW_DIR}/resources/tools/trex/" \
+ f"trex_server_info.py\""
try:
exec_cmd_no_error(
- self._node, cmd, sudo=True, message='Test TRex failed!',
- retries=20)
+ self._node, cmd, sudo=True, message=u"Test TRex failed!",
+ retries=20
+ )
except RuntimeError:
continue
return
# After max retries TRex is still not responding to API critical error
# occurred.
- raise RuntimeError('Start TRex failed after multiple retries!')
+ raise RuntimeError(u"Start TRex failed after multiple retries!")
@staticmethod
def is_trex_running(node):
"""
# No need to check subtype, we know it is TREX.
- ret, _, _ = exec_cmd(node, "pidof t-rex", sudo=True)
+ ret, _, _ = exec_cmd(node, u"pidof t-rex", sudo=True)
return bool(int(ret) == 0)
@staticmethod
subtype = check_subtype(node)
if subtype == NodeSubTypeTG.TREX:
exec_cmd_no_error(
- node, "sh -c 'sudo pkill t-rex && sleep 3'",
- sudo=False, message='pkill t-rex failed')
+ node, u"sh -c \"sudo pkill t-rex && sleep 3\"",
+ sudo=False, message=u"pkill t-rex failed"
+ )
def _parse_traffic_results(self, stdout):
- """Parse stdout of scripts into fieds of self.
+ """Parse stdout of scripts into fields of self.
Block of code to reuse, by sync start, or stop after async.
TODO: Is the output TG subtype dependent?
# last line from console output
line = stdout.splitlines()[-1]
self._result = line
- logger.info('TrafficGen result: {0}'.format(self._result))
- self._received = self._result.split(', ')[1].split('=')[1]
- self._sent = self._result.split(', ')[2].split('=')[1]
- self._loss = self._result.split(', ')[3].split('=')[1]
- self._latency = []
- self._latency.append(self._result.split(', ')[4].split('=')[1])
- self._latency.append(self._result.split(', ')[5].split('=')[1])
+ logger.info(f"TrafficGen result: {self._result}")
+ self._received = self._result.split(u", ")[1].split(u"=", 1)[1]
+ self._sent = self._result.split(u", ")[2].split(u"=", 1)[1]
+ self._loss = self._result.split(u", ")[3].split(u"=", 1)[1]
+ self._latency = list()
+ self._latency.append(self._result.split(u", ")[4].split(u"=", 1)[1])
+ self._latency.append(self._result.split(u", ")[5].split(u"=", 1)[1])
def trex_stl_stop_remote_exec(self, node):
"""Execute script on remote node over ssh to stop running traffic.
- Internal state is updated with results.
+ Internal state is updated with measurement results.
:param node: TRex generator node.
:type node: dict
- :returns: Nothing
:raises RuntimeError: If stop traffic script fails.
"""
# No need to check subtype, we know it is TREX.
+ x_args = u""
+ for index, value in enumerate(self._xstats):
+ if value is not None:
+ # Nested quoting is fun.
+ value = value.replace(u"'", u"\"")
+ x_args += f" --xstat{index}='\"'\"'{value}'\"'\"'"
stdout, _ = exec_cmd_no_error(
- node,
- "sh -c '{}/resources/tools/trex/"
- "trex_stateless_stop.py'".format(Constants.REMOTE_FW_DIR),
- message='TRex stateless runtime error')
+ node, f"sh -c '{Constants.REMOTE_FW_DIR}/resources/tools/trex/"
+ f"trex_stateless_stop.py{x_args}'",
+ message=u"TRex stateless runtime error"
+ )
self._parse_traffic_results(stdout)
def trex_stl_start_remote_exec(
self, duration, rate, frame_size, traffic_profile, async_call=False,
- latency=True, warmup_time=5.0, unidirection=False, tx_port=0,
+ latency=True, warmup_time=5.0, traffic_directions=2, tx_port=0,
rx_port=1):
"""Execute script on remote node over ssh to start traffic.
+ In sync mode, measurement results are stored internally.
+ In async mode, initial data including xstats are stored internally.
+
:param duration: Time expresed in seconds for how long to send traffic.
:param rate: Traffic rate expressed with units (pps, %)
:param frame_size: L2 frame size to send (without padding and IPG).
:param async_call: If enabled then don't wait for all incomming trafic.
:param latency: With latency measurement.
:param warmup_time: Warmup time period.
- :param unidirection: Traffic is unidirectional. Default: False
+ :param traffic_directions: Traffic is bi- (2) or uni- (1) directional.
+ Default: 2
:param tx_port: Traffic generator transmit port for first flow.
Default: 0
:param rx_port: Traffic generator receive port for first flow.
:type async_call: bool
:type latency: bool
:type warmup_time: float
- :type unidirection: bool
+ :type traffic_directions: int
:type tx_port: int
:type rx_port: int
:raises RuntimeError: In case of TG driver issue.
# No need to check subtype, we know it is TREX.
reorder = self._ifaces_reordered # Just to make the next line fit.
p_0, p_1 = (rx_port, tx_port) if reorder else (tx_port, rx_port)
- # Values from Robot can introduce type unicode,
- # we need to encode them, so that repr() does not lead with 'u'.
- if isinstance(rate, unicode):
- rate = rate.encode("utf-8")
+
if not isinstance(duration, (float, int)):
duration = float(duration)
if not isinstance(warmup_time, (float, int)):
warmup_time = float(warmup_time)
- command = (
- "sh -c '{tool}/resources/tools/trex/trex_stateless_profile.py"
- " --profile {prof}/resources/traffic_profiles/trex/{traffic}.py"
- " --duration {duration!r} --frame_size {frame_size} --rate {rate!r}"
- " --warmup_time {warmup!r} --port_0 {p_0} --port_1 {p_1}").format(
- tool=Constants.REMOTE_FW_DIR, prof=Constants.REMOTE_FW_DIR,
- traffic=traffic_profile, duration=duration,
- frame_size=frame_size, rate=rate, warmup=warmup_time, p_0=p_0,
- p_1=p_1)
+ command = f"sh -c \"" \
+ f"{Constants.REMOTE_FW_DIR}/resources/tools/trex/" \
+ f"trex_stateless_profile.py" \
+ f" --profile {Constants.REMOTE_FW_DIR}/resources/" \
+ f"traffic_profiles/trex/{traffic_profile}.py" \
+ f" --duration {duration!r} --frame_size {frame_size} " \
+ f"--rate {rate!r} --warmup_time {warmup_time!r} " \
+ f"--port_0 {p_0} --port_1 {p_1}" \
+ f" --traffic_directions {traffic_directions}"
if async_call:
- command += " --async"
+ command += u" --async_start"
if latency:
- command += " --latency"
- if unidirection:
- command += " --unidirection"
- command += "'"
+ command += u" --latency"
+ command += u"\""
stdout, _ = exec_cmd_no_error(
self._node, command, timeout=float(duration) + 60,
- message='TRex stateless runtime error')
+ message=u"TRex stateless runtime error"
+ )
+ self.traffic_directions = traffic_directions
if async_call:
- #no result
+ # no result
self._start_time = time.time()
- self._rate = float(rate[:-3]) if "pps" in rate else rate
+ self._rate = float(rate[:-3]) if u"pps" in rate else float(rate)
self._received = None
self._sent = None
self._loss = None
self._latency = None
+ xstats = [None, None]
+ index = 0
+ for line in stdout.splitlines():
+ if f"Xstats snapshot {index}: " in line:
+ xstats[index] = line[19:]
+ index += 1
+ if index == 2:
+ break
+ self._xstats = tuple(xstats)
else:
self._parse_traffic_results(stdout)
self._start_time = None
def stop_traffic_on_tg(self):
"""Stop all traffic on TG.
- :returns: Nothing
+ :returns: Structure containing the result of the measurement.
+ :rtype: ReceiveRateMeasurement
:raises RuntimeError: If TG is not set.
"""
subtype = check_subtype(self._node)
if subtype == NodeSubTypeTG.TREX:
self.trex_stl_stop_remote_exec(self._node)
+ return self.get_measurement_result()
def send_traffic_on_tg(
self, duration, rate, frame_size, traffic_profile, warmup_time=5,
- async_call=False, latency=True, unidirection=False, tx_port=0,
+ async_call=False, latency=True, traffic_directions=2, tx_port=0,
rx_port=1):
"""Send traffic from all configured interfaces on TG.
+ In async mode, xstats is stored internally,
+ to enable getting correct result when stopping the traffic.
+ In both modes, stdout is returned,
+ but _parse_traffic_results only works in sync output.
+
Note that bidirectional traffic also contains flows
transmitted from rx_port and received in tx_port.
But some tests use asymmetric traffic, so those arguments are relevant.
:param warmup_time: Warmup phase in seconds.
:param async_call: Async mode.
:param latency: With latency measurement.
- :param unidirection: Traffic is unidirectional. Default: False
+ :param traffic_directions: Traffic is bi- (2) or uni- (1) directional.
+ Default: 2
:param tx_port: Traffic generator transmit port for first flow.
Default: 0
:param rx_port: Traffic generator receive port for first flow.
:type warmup_time: float
:type async_call: bool
:type latency: bool
- :type unidirection: bool
+ :type traffic_directions: int
:type tx_port: int
:type rx_port: int
:returns: TG output.
if subtype == NodeSubTypeTG.TREX:
self.trex_stl_start_remote_exec(
duration, rate, frame_size, traffic_profile, async_call,
- latency, warmup_time, unidirection, tx_port, rx_port)
+ latency, warmup_time, traffic_directions, tx_port, rx_port
+ )
return self._result
:raises Exception: If loss occured.
"""
if self._loss is None:
- raise RuntimeError('The traffic generation has not been issued')
- if self._loss != '0':
- raise RuntimeError('Traffic loss occurred: {0}'.format(self._loss))
+ raise RuntimeError(u"The traffic generation has not been issued")
+ if self._loss != u"0":
+ raise RuntimeError(f"Traffic loss occurred: {self._loss}")
def fail_if_no_traffic_forwarded(self):
"""Fail if no traffic forwarded.
:raises Exception: If no traffic forwarded.
"""
if self._received is None:
- raise RuntimeError('The traffic generation has not been issued')
- if self._received == '0':
- raise RuntimeError('No traffic forwarded')
+ raise RuntimeError(u"The traffic generation has not been issued")
+ if self._received == u"0":
+ raise RuntimeError(u"No traffic forwarded")
- def partial_traffic_loss_accepted(self, loss_acceptance,
- loss_acceptance_type):
+ def partial_traffic_loss_accepted(
+ self, loss_acceptance, loss_acceptance_type):
"""Fail if loss is higher then accepted in traffic run.
:param loss_acceptance: Permitted drop ratio or frames count.
:raises Exception: If loss is above acceptance criteria.
"""
if self._loss is None:
- raise Exception('The traffic generation has not been issued')
+ raise Exception(u"The traffic generation has not been issued")
- if loss_acceptance_type == 'percentage':
+ if loss_acceptance_type == u"percentage":
loss = (float(self._loss) / float(self._sent)) * 100
- elif loss_acceptance_type == 'frames':
+ elif loss_acceptance_type == u"frames":
loss = float(self._loss)
else:
- raise Exception('Loss acceptance type not supported')
+ raise Exception(u"Loss acceptance type not supported")
if loss > float(loss_acceptance):
- raise Exception("Traffic loss {} above loss acceptance: {}".format(
- loss, loss_acceptance))
+ raise Exception(
+ f"Traffic loss {loss} above loss acceptance: {loss_acceptance}"
+ )
- def set_rate_provider_defaults(self, frame_size, traffic_profile,
- warmup_time=0.0):
+ def set_rate_provider_defaults(
+ self, frame_size, traffic_profile, warmup_time=0.0,
+ traffic_directions=2):
"""Store values accessed by measure().
:param frame_size: Frame size identifier or value [B].
:param traffic_profile: Module name as a traffic profile identifier.
See resources/traffic_profiles/trex for implemented modules.
:param warmup_time: Traffic duration before measurement starts [s].
+ :param traffic_directions: Traffic is bi- (2) or uni- (1) directional.
+ Default: 2
:type frame_size: str or int
:type traffic_profile: str
:type warmup_time: float
+ :type traffic_directions: int
"""
self.frame_size = frame_size
self.traffic_profile = str(traffic_profile)
self.warmup_time = float(warmup_time)
+ self.traffic_directions = traffic_directions
def get_measurement_result(self, duration=None, transmit_rate=None):
"""Return the result of last measurement as ReceiveRateMeasurement.
duration = time.time() - self._start_time
self._start_time = None
if transmit_rate is None:
- # Assuming bi-directional traffic here.
- transmit_rate = self._rate * 2.0
+ transmit_rate = self._rate * self.traffic_directions
transmit_count = int(self.get_sent())
loss_count = int(self.get_loss())
measurement = ReceiveRateMeasurement(
- duration, transmit_rate, transmit_count, loss_count)
+ duration, transmit_rate, transmit_count, loss_count
+ )
measurement.latency = self.get_latency_int()
return measurement
def measure(self, duration, transmit_rate):
- """Run bi-directional measurement, parse and return results.
+ """Run trial measurement, parse and return aggregate results.
+
+ Aggregate means sum over traffic directions.
:param duration: Trial duration [s].
- :param transmit_rate: Target bidirectional transmit rate [pps].
+ :param transmit_rate: Target aggregate transmit rate [pps].
:type duration: float
:type transmit_rate: float
:returns: Structure containing the result of the measurement.
duration = float(duration)
transmit_rate = float(transmit_rate)
# TG needs target Tr per stream, but reports aggregate Tx and Dx.
- unit_rate = str(transmit_rate / 2.0) + "pps"
+ unit_rate_int = transmit_rate / float(self.traffic_directions)
+ unit_rate_str = str(unit_rate_int) + u"pps"
self.send_traffic_on_tg(
- duration, unit_rate, self.frame_size, self.traffic_profile,
- warmup_time=self.warmup_time, latency=True)
+ duration, unit_rate_str, self.frame_size, self.traffic_profile,
+ warmup_time=self.warmup_time, latency=True,
+ traffic_directions=self.traffic_directions
+ )
return self.get_measurement_result(duration, transmit_rate)
-class OptimizedSearch(object):
- """Class to be imported as Robot Library, containing a single keyword."""
+class OptimizedSearch:
+ """Class to be imported as Robot Library, containing search keywords.
+
+ Aside of setting up measurer and forwarding arguments,
+ the main business is to translate min/max rate from unidir to aggregate.
+ """
@staticmethod
def perform_optimized_ndrpdr_search(
maximum_transmit_rate, packet_loss_ratio=0.005,
final_relative_width=0.005, final_trial_duration=30.0,
initial_trial_duration=1.0, number_of_intermediate_phases=2,
- timeout=720.0, doublings=1):
+ timeout=720.0, doublings=1, traffic_directions=2):
"""Setup initialized TG, perform optimized search, return intervals.
:param frame_size: Frame size identifier or value [B].
:param traffic_profile: Module name as a traffic profile identifier.
See resources/traffic_profiles/trex for implemented modules.
- :param minimum_transmit_rate: Minimal bidirectional
+ :param minimum_transmit_rate: Minimal uni-directional
target transmit rate [pps].
- :param maximum_transmit_rate: Maximal bidirectional
+ :param maximum_transmit_rate: Maximal uni-directional
target transmit rate [pps].
:param packet_loss_ratio: Fraction of packets lost, for PDR [1].
:param final_relative_width: Final lower bound transmit rate
:param doublings: How many doublings to do in external search step.
Default 1 is suitable for fairly stable tests,
less stable tests might get better overal duration with 2 or more.
+ :param traffic_directions: Traffic is bi- (2) or uni- (1) directional.
+ Default: 2
:type frame_size: str or int
:type traffic_profile: str
:type minimum_transmit_rate: float
:type number_of_intermediate_phases: int
:type timeout: float
:type doublings: int
+ :type traffic_directions: int
:returns: Structure containing narrowed down NDR and PDR intervals
and their measurements.
:rtype: NdrPdrResult
:raises RuntimeError: If total duration is larger than timeout.
"""
+ minimum_transmit_rate *= traffic_directions
+ maximum_transmit_rate *= traffic_directions
# we need instance of TrafficGenerator instantiated by Robot Framework
# to be able to use trex_stl-*()
tg_instance = BuiltIn().get_library_instance(
- 'resources.libraries.python.TrafficGenerator')
- tg_instance.set_rate_provider_defaults(frame_size, traffic_profile)
+ u"resources.libraries.python.TrafficGenerator"
+ )
+ tg_instance.set_rate_provider_defaults(
+ frame_size, traffic_profile, traffic_directions=traffic_directions)
algorithm = MultipleLossRatioSearch(
measurer=tg_instance, final_trial_duration=final_trial_duration,
final_relative_width=final_relative_width,
number_of_intermediate_phases=number_of_intermediate_phases,
initial_trial_duration=initial_trial_duration, timeout=timeout,
- doublings=doublings)
+ doublings=doublings
+ )
result = algorithm.narrow_down_ndr_and_pdr(
- minimum_transmit_rate, maximum_transmit_rate, packet_loss_ratio)
+ minimum_transmit_rate, maximum_transmit_rate, packet_loss_ratio
+ )
return result
@staticmethod
def perform_soak_search(
frame_size, traffic_profile, minimum_transmit_rate,
maximum_transmit_rate, plr_target=1e-7, tdpt=0.1,
- initial_count=50, timeout=1800.0, trace_enabled=False):
+ initial_count=50, timeout=1800.0, trace_enabled=False,
+ traffic_directions=2):
"""Setup initialized TG, perform soak search, return avg and stdev.
:param frame_size: Frame size identifier or value [B].
:param traffic_profile: Module name as a traffic profile identifier.
See resources/traffic_profiles/trex for implemented modules.
- :param minimum_transmit_rate: Minimal bidirectional
+ :param minimum_transmit_rate: Minimal uni-directional
target transmit rate [pps].
- :param maximum_transmit_rate: Maximal bidirectional
+ :param maximum_transmit_rate: Maximal uni-directional
target transmit rate [pps].
:param plr_target: Fraction of packets lost to achieve [1].
:param tdpt: Trial duration per trial.
This is needed because initial "search" phase of integrator
takes significant time even without any trial results.
:param timeout: The search will stop after this overall time [s].
+ :param trace_enabled: True if trace enabled else False.
+ :param traffic_directions: Traffic is bi- (2) or uni- (1) directional.
+ Default: 2
:type frame_size: str or int
:type traffic_profile: str
:type minimum_transmit_rate: float
:type plr_target: float
:type initial_count: int
:type timeout: float
- :returns: Average and stdev of estimated bidirectional rate giving PLR.
+ :type trace_enabled: bool
+ :type traffic_directions: int
+ :returns: Average and stdev of estimated aggregate rate giving PLR.
:rtype: 2-tuple of float
"""
+ minimum_transmit_rate *= traffic_directions
+ maximum_transmit_rate *= traffic_directions
tg_instance = BuiltIn().get_library_instance(
- 'resources.libraries.python.TrafficGenerator')
- tg_instance.set_rate_provider_defaults(frame_size, traffic_profile)
+ u"resources.libraries.python.TrafficGenerator"
+ )
+ tg_instance.set_rate_provider_defaults(
+ frame_size, traffic_profile, traffic_directions=traffic_directions)
algorithm = PLRsearch(
measurer=tg_instance, trial_duration_per_trial=tdpt,
packet_loss_ratio_target=plr_target,
trial_number_offset=initial_count, timeout=timeout,
- trace_enabled=trace_enabled)
+ trace_enabled=trace_enabled
+ )
result = algorithm.search(minimum_transmit_rate, maximum_transmit_rate)
return result
Code Review / csit.git / blobdiff