1 # Copyright (c) 2019 Cisco and/or its affiliates.
2 # Licensed under the Apache License, Version 2.0 (the "License");
3 # you may not use this file except in compliance with the License.
4 # You may obtain a copy of the License at:
6 # http://www.apache.org/licenses/LICENSE-2.0
8 # Unless required by applicable law or agreed to in writing, software
9 # distributed under the License is distributed on an "AS IS" BASIS,
10 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
11 # See the License for the specific language governing permissions and
12 # limitations under the License.
14 """Performance testing traffic generator library."""
18 from robot.api import logger
19 from robot.libraries.BuiltIn import BuiltIn
21 from .DropRateSearch import DropRateSearch
22 from .Constants import Constants
23 from .ssh import exec_cmd_no_error, exec_cmd
24 from .topology import NodeType
25 from .topology import NodeSubTypeTG
26 from .topology import Topology
27 from .MLRsearch.AbstractMeasurer import AbstractMeasurer
28 from .MLRsearch.MultipleLossRatioSearch import MultipleLossRatioSearch
29 from .MLRsearch.ReceiveRateMeasurement import ReceiveRateMeasurement
30 from .PLRsearch.PLRsearch import PLRsearch
32 __all__ = [u"TGDropRateSearchImpl", u"TrafficGenerator", u"OptimizedSearch"]
35 def check_subtype(node):
36 """Return supported subtype of given node, or raise an exception.
38 Currently only one subtype is supported,
39 but we want our code to be ready for other ones.
41 :param node: Topology node to check. Can be None.
42 :type node: dict or NoneType
43 :returns: Subtype detected.
45 :raises RuntimeError: If node is not supported, message explains how.
47 if node.get(u"type") is None:
48 msg = u"Node type is not defined"
49 elif node['type'] != NodeType.TG:
50 msg = f"Node type is {node[u'type']!r}, not a TG"
51 elif node.get(u"subtype") is None:
52 msg = u"TG subtype is not defined"
53 elif node[u"subtype"] != NodeSubTypeTG.TREX:
54 msg = f"TG subtype {node[u'subtype']!r} is not supported"
56 return NodeSubTypeTG.TREX
57 raise RuntimeError(msg)
60 class TGDropRateSearchImpl(DropRateSearch):
61 """Drop Rate Search implementation."""
64 # super(TGDropRateSearchImpl, self).__init__()
67 self, rate, frame_size, loss_acceptance, loss_acceptance_type,
68 traffic_profile, skip_warmup=False):
69 """Runs the traffic and evaluate the measured results.
71 :param rate: Offered traffic load.
72 :param frame_size: Size of frame.
73 :param loss_acceptance: Permitted drop ratio or frames count.
74 :param loss_acceptance_type: Type of permitted loss.
75 :param traffic_profile: Module name as a traffic profile identifier.
76 See resources/traffic_profiles/trex for implemented modules.
77 :param skip_warmup: Start TRex without warmup traffic if true.
80 :type loss_acceptance: float
81 :type loss_acceptance_type: LossAcceptanceType
82 :type traffic_profile: str
83 :type skip_warmup: bool
84 :returns: Drop threshold exceeded? (True/False)
86 :raises NotImplementedError: If TG is not supported.
87 :raises RuntimeError: If TG is not specified.
89 # we need instance of TrafficGenerator instantiated by Robot Framework
90 # to be able to use trex_stl-*()
91 tg_instance = BuiltIn().get_library_instance(
92 u"resources.libraries.python.TrafficGenerator"
94 subtype = check_subtype(tg_instance.node)
95 if subtype == NodeSubTypeTG.TREX:
96 unit_rate = str(rate) + self.get_rate_type_str()
98 tg_instance.trex_stl_start_remote_exec(
99 self.get_duration(), unit_rate, frame_size, traffic_profile,
103 tg_instance.trex_stl_start_remote_exec(
104 self.get_duration(), unit_rate, frame_size, traffic_profile
106 loss = tg_instance.get_loss()
107 sent = tg_instance.get_sent()
108 if self.loss_acceptance_type_is_percentage():
109 loss = (float(loss) / float(sent)) * 100
111 f"comparing: {loss} < {loss_acceptance} {loss_acceptance_type}"
113 return float(loss) <= float(loss_acceptance)
116 def get_latency(self):
117 """Returns min/avg/max latency.
119 :returns: Latency stats.
122 tg_instance = BuiltIn().get_library_instance(
123 u"resources.libraries.python.TrafficGenerator"
125 return tg_instance.get_latency_int()
128 # pylint: disable=too-many-instance-attributes
129 class TrafficGenerator(AbstractMeasurer):
130 """Traffic Generator.
132 FIXME: Describe API."""
134 # TODO: Decrease friction between various search and rate provider APIs.
135 # TODO: Remove "trex" from lines which could work with other TGs.
137 # Use one instance of TrafficGenerator for all tests in test suite
138 ROBOT_LIBRARY_SCOPE = u"TEST SUITE"
141 # TODO: Number of fields will be reduced with CSIT-1378.
143 # T-REX interface order mapping
144 self._ifaces_reordered = False
145 # Result holding fields, to be removed.
150 self._received = None
151 # Measurement input fields, needed for async stop result.
152 self._start_time = None
154 # Other input parameters, not knowable from measure() signature.
155 self.frame_size = None
156 self.traffic_profile = None
157 self.warmup_time = None
158 self.traffic_directions = None
159 # Transient data needed for async measurements.
160 self._xstats = (None, None)
161 # TODO: Rename "xstats" to something opaque, so TRex is not privileged?
167 :returns: Traffic generator node.
173 """Return number of lost packets.
175 :returns: Number of lost packets.
181 """Return number of sent packets.
183 :returns: Number of sent packets.
188 def get_received(self):
189 """Return number of received packets.
191 :returns: Number of received packets.
194 return self._received
196 def get_latency_int(self):
197 """Return rounded min/avg/max latency.
199 :returns: Latency stats.
204 # pylint: disable=too-many-locals
205 def initialize_traffic_generator(
206 self, tg_node, tg_if1, tg_if2, tg_if1_adj_node, tg_if1_adj_if,
207 tg_if2_adj_node, tg_if2_adj_if, osi_layer, tg_if1_dst_mac=None,
208 tg_if2_dst_mac=None):
209 """TG initialization.
211 TODO: Document why do we need (and how do we use) _ifaces_reordered.
213 :param tg_node: Traffic generator node.
214 :param tg_if1: TG - name of first interface.
215 :param tg_if2: TG - name of second interface.
216 :param tg_if1_adj_node: TG if1 adjecent node.
217 :param tg_if1_adj_if: TG if1 adjecent interface.
218 :param tg_if2_adj_node: TG if2 adjecent node.
219 :param tg_if2_adj_if: TG if2 adjecent interface.
220 :param osi_layer: 'L2', 'L3' or 'L7' - OSI Layer testing type.
221 :param tg_if1_dst_mac: Interface 1 destination MAC address.
222 :param tg_if2_dst_mac: Interface 2 destination MAC address.
226 :type tg_if1_adj_node: dict
227 :type tg_if1_adj_if: str
228 :type tg_if2_adj_node: dict
229 :type tg_if2_adj_if: str
231 :type tg_if1_dst_mac: str
232 :type tg_if2_dst_mac: str
234 :raises RuntimeError: In case of issue during initialization.
236 subtype = check_subtype(tg_node)
237 if subtype == NodeSubTypeTG.TREX:
240 if1_pci = Topology().get_interface_pci_addr(self._node, tg_if1)
241 if2_pci = Topology().get_interface_pci_addr(self._node, tg_if2)
242 if1_addr = Topology().get_interface_mac(self._node, tg_if1)
243 if2_addr = Topology().get_interface_mac(self._node, tg_if2)
245 if osi_layer == u"L2":
246 if1_adj_addr = if2_addr
247 if2_adj_addr = if1_addr
248 elif osi_layer == u"L3":
249 if1_adj_addr = Topology().get_interface_mac(
250 tg_if1_adj_node, tg_if1_adj_if
252 if2_adj_addr = Topology().get_interface_mac(
253 tg_if2_adj_node, tg_if2_adj_if
255 elif osi_layer == u"L7":
256 if1_addr = Topology().get_interface_ip4(self._node, tg_if1)
257 if2_addr = Topology().get_interface_ip4(self._node, tg_if2)
258 if1_adj_addr = Topology().get_interface_ip4(
259 tg_if1_adj_node, tg_if1_adj_if
261 if2_adj_addr = Topology().get_interface_ip4(
262 tg_if2_adj_node, tg_if2_adj_if
265 raise ValueError(u"Unknown Test Type")
267 # in case of switched environment we can override MAC addresses
268 if tg_if1_dst_mac is not None and tg_if2_dst_mac is not None:
269 if1_adj_addr = tg_if1_dst_mac
270 if2_adj_addr = tg_if2_dst_mac
272 if min(if1_pci, if2_pci) != if1_pci:
273 if1_pci, if2_pci = if2_pci, if1_pci
274 if1_addr, if2_addr = if2_addr, if1_addr
275 if1_adj_addr, if2_adj_addr = if2_adj_addr, if1_adj_addr
276 self._ifaces_reordered = True
278 if osi_layer in (u"L2", u"L3"):
279 dst_mac0 = f"0x{if1_adj_addr.replace(u':', u',0x')}"
280 src_mac0 = f"0x{if1_addr.replace(u':', u',0x')}"
281 dst_mac1 = f"0x{if2_adj_addr.replace(u':', u',0x')}"
282 src_mac1 = f"0x{if2_addr.replace(u':', u',0x')}"
285 f"sh -c 'cat << EOF > /etc/trex_cfg.yaml\n"
287 f" interfaces: [\"{if1_pci}\",\"{if2_pci}\"]\n"
289 f" - dest_mac: [{dst_mac0}]\n"
290 f" src_mac: [{src_mac0}]\n"
291 f" - dest_mac: [{dst_mac1}]\n"
292 f" src_mac: [{src_mac1}]\n"
294 sudo=True, message=u"TRex config generation error"
296 elif osi_layer == u"L7":
299 f"sh -c 'cat << EOF > /etc/trex_cfg.yaml\n"
301 f" interfaces: [\"{if1_pci}\",\"{if2_pci}\"]\n"
303 f" - ip: [{if1_addr}]\n"
304 f" default_gw: [{if1_adj_addr}]\n"
305 f" - ip: [{if2_addr}]\n"
306 f" default_gw: [{if2_adj_addr}]\n"
308 sudo=True, message=u"TRex config generation error"
311 raise ValueError(u"Unknown Test Type")
313 self._startup_trex(osi_layer)
315 def _startup_trex(self, osi_layer):
316 """Startup sequence for the TRex traffic generator.
318 :param osi_layer: 'L2', 'L3' or 'L7' - OSI Layer testing type.
320 :raises RuntimeError: If node subtype is not a TREX or startup failed.
322 # No need to check subtype, we know it is TREX.
323 for _ in range(0, 3):
324 # Kill TRex only if it is already running.
325 cmd = u"sh -c \"pgrep t-rex && pkill t-rex && sleep 3 || true\""
327 self._node, cmd, sudo=True, message=u"Kill TRex failed!"
332 for port in self._node[u"interfaces"].values():
333 ports += f" {port.get(u'pci_address')}"
335 cmd = f"sh -c \"cd {Constants.TREX_INSTALL_DIR}/scripts/ && " \
336 f"./dpdk_nic_bind.py -u {ports} || true\""
338 self._node, cmd, sudo=True,
339 message=u"Unbind PCI ports from driver failed!"
343 cmd = f"sh -c \"cd {Constants.TREX_INSTALL_DIR}/scripts/ && " \
344 f"nohup ./t-rex-64 " \
345 f"--hdrh{u' --astf' if osi_layer == u'L7' else u''} " \
346 f"--prefix $(hostname) -i -c 7 > /tmp/trex.log 2>&1 &\" > " \
349 exec_cmd_no_error(self._node, cmd, sudo=True)
351 cmd = u"sh -c \"cat /tmp/trex.log\""
353 self._node, cmd, sudo=True, message=u"Get TRex logs failed!"
355 raise RuntimeError(u"Start TRex failed!")
357 # Test if TRex starts successfuly.
358 cmd = f"sh -c \"{Constants.REMOTE_FW_DIR}/resources/tools/trex/" \
359 f"trex_server_info.py\""
362 self._node, cmd, sudo=True, message=u"Test TRex failed!",
368 # After max retries TRex is still not responding to API critical error
370 raise RuntimeError(u"Start TRex failed after multiple retries!")
373 def is_trex_running(node):
374 """Check if TRex is running using pidof.
376 :param node: Traffic generator node.
378 :returns: True if TRex is running otherwise False.
380 :raises RuntimeError: If node type is not a TG.
382 # No need to check subtype, we know it is TREX.
384 ret, _, _ = exec_cmd(node, u"pidof t-rex", sudo=True)
385 return bool(int(ret) == 0)
388 def teardown_traffic_generator(node):
391 :param node: Traffic generator node.
394 :raises RuntimeError: If node type is not a TG,
395 or if TRex teardown fails.
397 subtype = check_subtype(node)
398 if subtype == NodeSubTypeTG.TREX:
400 node, u"sh -c \"sudo pkill t-rex && sleep 3\"",
401 sudo=False, message=u"pkill t-rex failed"
404 def _parse_traffic_results(self, stdout):
405 """Parse stdout of scripts into fields of self.
407 Block of code to reuse, by sync start, or stop after async.
408 TODO: Is the output TG subtype dependent?
410 :param stdout: Text containing the standard output.
413 # last line from console output
414 line = stdout.splitlines()[-1]
416 logger.info(f"TrafficGen result: {self._result}")
417 self._received = self._result.split(u", ")[1].split(u"=", 1)[1]
418 self._sent = self._result.split(u", ")[2].split(u"=", 1)[1]
419 self._loss = self._result.split(u", ")[3].split(u"=", 1)[1]
420 self._latency = list()
421 self._latency.append(self._result.split(u", ")[4].split(u"=", 1)[1])
422 self._latency.append(self._result.split(u", ")[5].split(u"=", 1)[1])
424 def trex_stl_stop_remote_exec(self, node):
425 """Execute script on remote node over ssh to stop running traffic.
427 Internal state is updated with measurement results.
429 :param node: TRex generator node.
431 :raises RuntimeError: If stop traffic script fails.
433 # No need to check subtype, we know it is TREX.
435 for index, value in enumerate(self._xstats):
436 if value is not None:
437 # Nested quoting is fun.
438 value = value.replace(u"'", u"\"")
439 x_args += f" --xstat{index}='\"'\"'{value}'\"'\"'"
440 stdout, _ = exec_cmd_no_error(
441 node, f"sh -c '{Constants.REMOTE_FW_DIR}/resources/tools/trex/"
442 f"trex_stateless_stop.py{x_args}'",
443 message=u"TRex stateless runtime error"
445 self._parse_traffic_results(stdout)
447 def trex_stl_start_remote_exec(
448 self, duration, rate, frame_size, traffic_profile, async_call=False,
449 latency=True, warmup_time=5.0, traffic_directions=2, tx_port=0,
451 """Execute script on remote node over ssh to start traffic.
453 In sync mode, measurement results are stored internally.
454 In async mode, initial data including xstats are stored internally.
456 :param duration: Time expresed in seconds for how long to send traffic.
457 :param rate: Traffic rate expressed with units (pps, %)
458 :param frame_size: L2 frame size to send (without padding and IPG).
459 :param traffic_profile: Module name as a traffic profile identifier.
460 See resources/traffic_profiles/trex for implemented modules.
461 :param async_call: If enabled then don't wait for all incomming trafic.
462 :param latency: With latency measurement.
463 :param warmup_time: Warmup time period.
464 :param traffic_directions: Traffic is bi- (2) or uni- (1) directional.
466 :param tx_port: Traffic generator transmit port for first flow.
468 :param rx_port: Traffic generator receive port for first flow.
470 :type duration: float
472 :type frame_size: str
473 :type traffic_profile: str
474 :type async_call: bool
476 :type warmup_time: float
477 :type traffic_directions: int
480 :raises RuntimeError: In case of TG driver issue.
482 # No need to check subtype, we know it is TREX.
483 reorder = self._ifaces_reordered # Just to make the next line fit.
484 p_0, p_1 = (rx_port, tx_port) if reorder else (tx_port, rx_port)
486 if not isinstance(duration, (float, int)):
487 duration = float(duration)
488 if not isinstance(warmup_time, (float, int)):
489 warmup_time = float(warmup_time)
490 command = f"sh -c \"" \
491 f"{Constants.REMOTE_FW_DIR}/resources/tools/trex/" \
492 f"trex_stateless_profile.py" \
493 f" --profile {Constants.REMOTE_FW_DIR}/resources/" \
494 f"traffic_profiles/trex/{traffic_profile}.py" \
495 f" --duration {duration!r} --frame_size {frame_size} " \
496 f"--rate {rate!r} --warmup_time {warmup_time!r} " \
497 f"--port_0 {p_0} --port_1 {p_1}" \
498 f" --traffic_directions {traffic_directions}"
500 command += u" --async_start"
502 command += u" --latency"
505 stdout, _ = exec_cmd_no_error(
506 self._node, command, timeout=float(duration) + 60,
507 message=u"TRex stateless runtime error"
510 self.traffic_directions = traffic_directions
513 self._start_time = time.time()
514 self._rate = float(rate[:-3]) if u"pps" in rate else float(rate)
515 self._received = None
519 xstats = [None, None]
521 for line in stdout.splitlines():
522 if f"Xstats snapshot {index}: " in line:
523 xstats[index] = line[19:]
527 self._xstats = tuple(xstats)
529 self._parse_traffic_results(stdout)
530 self._start_time = None
533 def stop_traffic_on_tg(self):
534 """Stop all traffic on TG.
536 :returns: Structure containing the result of the measurement.
537 :rtype: ReceiveRateMeasurement
538 :raises RuntimeError: If TG is not set.
540 subtype = check_subtype(self._node)
541 if subtype == NodeSubTypeTG.TREX:
542 self.trex_stl_stop_remote_exec(self._node)
543 return self.get_measurement_result()
545 def send_traffic_on_tg(
546 self, duration, rate, frame_size, traffic_profile, warmup_time=5,
547 async_call=False, latency=True, traffic_directions=2, tx_port=0,
549 """Send traffic from all configured interfaces on TG.
551 In async mode, xstats is stored internally,
552 to enable getting correct result when stopping the traffic.
553 In both modes, stdout is returned,
554 but _parse_traffic_results only works in sync output.
556 Note that bidirectional traffic also contains flows
557 transmitted from rx_port and received in tx_port.
558 But some tests use asymmetric traffic, so those arguments are relevant.
560 Also note that traffic generator uses DPDK driver which might
561 reorder port numbers based on wiring and PCI numbering.
562 This method handles that, so argument values are invariant,
563 but you can see swapped valued in debug logs.
565 TODO: Is it better to have less descriptive argument names
566 just to make them less probable to be viewed as misleading or confusing?
567 See https://gerrit.fd.io/r/#/c/17625/11/resources/libraries/python\
568 /TrafficGenerator.py@406
570 :param duration: Duration of test traffic generation in seconds.
571 :param rate: Offered load per interface (e.g. 1%, 3gbps, 4mpps, ...).
572 :param frame_size: Frame size (L2) in Bytes.
573 :param traffic_profile: Module name as a traffic profile identifier.
574 See resources/traffic_profiles/trex for implemented modules.
575 :param warmup_time: Warmup phase in seconds.
576 :param async_call: Async mode.
577 :param latency: With latency measurement.
578 :param traffic_directions: Traffic is bi- (2) or uni- (1) directional.
580 :param tx_port: Traffic generator transmit port for first flow.
582 :param rx_port: Traffic generator receive port for first flow.
586 :type frame_size: str
587 :type traffic_profile: str
588 :type warmup_time: float
589 :type async_call: bool
591 :type traffic_directions: int
596 :raises RuntimeError: If TG is not set, or if node is not TG,
597 or if subtype is not specified.
598 :raises NotImplementedError: If TG is not supported.
600 subtype = check_subtype(self._node)
601 if subtype == NodeSubTypeTG.TREX:
602 self.trex_stl_start_remote_exec(
603 duration, rate, frame_size, traffic_profile, async_call,
604 latency, warmup_time, traffic_directions, tx_port, rx_port
609 def no_traffic_loss_occurred(self):
610 """Fail if loss occurred in traffic run.
613 :raises Exception: If loss occured.
615 if self._loss is None:
616 raise RuntimeError(u"The traffic generation has not been issued")
617 if self._loss != u"0":
618 raise RuntimeError(f"Traffic loss occurred: {self._loss}")
620 def fail_if_no_traffic_forwarded(self):
621 """Fail if no traffic forwarded.
624 :raises Exception: If no traffic forwarded.
626 if self._received is None:
627 raise RuntimeError(u"The traffic generation has not been issued")
628 if self._received == u"0":
629 raise RuntimeError(u"No traffic forwarded")
631 def partial_traffic_loss_accepted(
632 self, loss_acceptance, loss_acceptance_type):
633 """Fail if loss is higher then accepted in traffic run.
635 :param loss_acceptance: Permitted drop ratio or frames count.
636 :param loss_acceptance_type: Type of permitted loss.
637 :type loss_acceptance: float
638 :type loss_acceptance_type: LossAcceptanceType
640 :raises Exception: If loss is above acceptance criteria.
642 if self._loss is None:
643 raise Exception(u"The traffic generation has not been issued")
645 if loss_acceptance_type == u"percentage":
646 loss = (float(self._loss) / float(self._sent)) * 100
647 elif loss_acceptance_type == u"frames":
648 loss = float(self._loss)
650 raise Exception(u"Loss acceptance type not supported")
652 if loss > float(loss_acceptance):
654 f"Traffic loss {loss} above loss acceptance: {loss_acceptance}"
657 def set_rate_provider_defaults(
658 self, frame_size, traffic_profile, warmup_time=0.0,
659 traffic_directions=2):
660 """Store values accessed by measure().
662 :param frame_size: Frame size identifier or value [B].
663 :param traffic_profile: Module name as a traffic profile identifier.
664 See resources/traffic_profiles/trex for implemented modules.
665 :param warmup_time: Traffic duration before measurement starts [s].
666 :param traffic_directions: Traffic is bi- (2) or uni- (1) directional.
668 :type frame_size: str or int
669 :type traffic_profile: str
670 :type warmup_time: float
671 :type traffic_directions: int
673 self.frame_size = frame_size
674 self.traffic_profile = str(traffic_profile)
675 self.warmup_time = float(warmup_time)
676 self.traffic_directions = traffic_directions
678 def get_measurement_result(self, duration=None, transmit_rate=None):
679 """Return the result of last measurement as ReceiveRateMeasurement.
681 Separate function, as measurements can end either by time
682 or by explicit call, this is the common block at the end.
684 TODO: Fail on running or already reported measurement.
686 :param duration: Measurement duration [s] if known beforehand.
687 For explicitly stopped measurement it is estimated.
688 :param transmit_rate: Target aggregate transmit rate [pps].
689 If not given, computed assuming it was bidirectional.
690 :type duration: float or NoneType
691 :type transmit_rate: float or NoneType
692 :returns: Structure containing the result of the measurement.
693 :rtype: ReceiveRateMeasurement
696 duration = time.time() - self._start_time
697 self._start_time = None
698 if transmit_rate is None:
699 transmit_rate = self._rate * self.traffic_directions
700 transmit_count = int(self.get_sent())
701 loss_count = int(self.get_loss())
702 measurement = ReceiveRateMeasurement(
703 duration, transmit_rate, transmit_count, loss_count
705 measurement.latency = self.get_latency_int()
708 def measure(self, duration, transmit_rate):
709 """Run trial measurement, parse and return aggregate results.
711 Aggregate means sum over traffic directions.
713 :param duration: Trial duration [s].
714 :param transmit_rate: Target aggregate transmit rate [pps].
715 :type duration: float
716 :type transmit_rate: float
717 :returns: Structure containing the result of the measurement.
718 :rtype: ReceiveRateMeasurement
719 :raises RuntimeError: If TG is not set, or if node is not TG,
720 or if subtype is not specified.
721 :raises NotImplementedError: If TG is not supported.
723 duration = float(duration)
724 transmit_rate = float(transmit_rate)
725 # TG needs target Tr per stream, but reports aggregate Tx and Dx.
726 unit_rate_int = transmit_rate / float(self.traffic_directions)
727 unit_rate_str = str(unit_rate_int) + u"pps"
728 self.send_traffic_on_tg(
729 duration, unit_rate_str, self.frame_size, self.traffic_profile,
730 warmup_time=self.warmup_time, latency=True,
731 traffic_directions=self.traffic_directions
733 return self.get_measurement_result(duration, transmit_rate)
736 class OptimizedSearch:
737 """Class to be imported as Robot Library, containing search keywords.
739 Aside of setting up measurer and forwarding arguments,
740 the main business is to translate min/max rate from unidir to aggregate.
744 def perform_optimized_ndrpdr_search(
745 frame_size, traffic_profile, minimum_transmit_rate,
746 maximum_transmit_rate, packet_loss_ratio=0.005,
747 final_relative_width=0.005, final_trial_duration=30.0,
748 initial_trial_duration=1.0, number_of_intermediate_phases=2,
749 timeout=720.0, doublings=1, traffic_directions=2):
750 """Setup initialized TG, perform optimized search, return intervals.
752 :param frame_size: Frame size identifier or value [B].
753 :param traffic_profile: Module name as a traffic profile identifier.
754 See resources/traffic_profiles/trex for implemented modules.
755 :param minimum_transmit_rate: Minimal uni-directional
756 target transmit rate [pps].
757 :param maximum_transmit_rate: Maximal uni-directional
758 target transmit rate [pps].
759 :param packet_loss_ratio: Fraction of packets lost, for PDR [1].
760 :param final_relative_width: Final lower bound transmit rate
761 cannot be more distant that this multiple of upper bound [1].
762 :param final_trial_duration: Trial duration for the final phase [s].
763 :param initial_trial_duration: Trial duration for the initial phase
764 and also for the first intermediate phase [s].
765 :param number_of_intermediate_phases: Number of intermediate phases
766 to perform before the final phase [1].
767 :param timeout: The search will fail itself when not finished
768 before this overall time [s].
769 :param doublings: How many doublings to do in external search step.
770 Default 1 is suitable for fairly stable tests,
771 less stable tests might get better overal duration with 2 or more.
772 :param traffic_directions: Traffic is bi- (2) or uni- (1) directional.
774 :type frame_size: str or int
775 :type traffic_profile: str
776 :type minimum_transmit_rate: float
777 :type maximum_transmit_rate: float
778 :type packet_loss_ratio: float
779 :type final_relative_width: float
780 :type final_trial_duration: float
781 :type initial_trial_duration: float
782 :type number_of_intermediate_phases: int
785 :type traffic_directions: int
786 :returns: Structure containing narrowed down NDR and PDR intervals
787 and their measurements.
789 :raises RuntimeError: If total duration is larger than timeout.
791 minimum_transmit_rate *= traffic_directions
792 maximum_transmit_rate *= traffic_directions
793 # we need instance of TrafficGenerator instantiated by Robot Framework
794 # to be able to use trex_stl-*()
795 tg_instance = BuiltIn().get_library_instance(
796 u"resources.libraries.python.TrafficGenerator"
798 tg_instance.set_rate_provider_defaults(
799 frame_size, traffic_profile, traffic_directions=traffic_directions)
800 algorithm = MultipleLossRatioSearch(
801 measurer=tg_instance, final_trial_duration=final_trial_duration,
802 final_relative_width=final_relative_width,
803 number_of_intermediate_phases=number_of_intermediate_phases,
804 initial_trial_duration=initial_trial_duration, timeout=timeout,
807 result = algorithm.narrow_down_ndr_and_pdr(
808 minimum_transmit_rate, maximum_transmit_rate, packet_loss_ratio
813 def perform_soak_search(
814 frame_size, traffic_profile, minimum_transmit_rate,
815 maximum_transmit_rate, plr_target=1e-7, tdpt=0.1,
816 initial_count=50, timeout=1800.0, trace_enabled=False,
817 traffic_directions=2):
818 """Setup initialized TG, perform soak search, return avg and stdev.
820 :param frame_size: Frame size identifier or value [B].
821 :param traffic_profile: Module name as a traffic profile identifier.
822 See resources/traffic_profiles/trex for implemented modules.
823 :param minimum_transmit_rate: Minimal uni-directional
824 target transmit rate [pps].
825 :param maximum_transmit_rate: Maximal uni-directional
826 target transmit rate [pps].
827 :param plr_target: Fraction of packets lost to achieve [1].
828 :param tdpt: Trial duration per trial.
829 The algorithm linearly increases trial duration with trial number,
830 this is the increment between succesive trials, in seconds.
831 :param initial_count: Offset to apply before the first trial.
832 For example initial_count=50 makes first trial to be 51*tdpt long.
833 This is needed because initial "search" phase of integrator
834 takes significant time even without any trial results.
835 :param timeout: The search will stop after this overall time [s].
836 :param trace_enabled: True if trace enabled else False.
837 :param traffic_directions: Traffic is bi- (2) or uni- (1) directional.
839 :type frame_size: str or int
840 :type traffic_profile: str
841 :type minimum_transmit_rate: float
842 :type maximum_transmit_rate: float
843 :type plr_target: float
844 :type initial_count: int
846 :type trace_enabled: bool
847 :type traffic_directions: int
848 :returns: Average and stdev of estimated aggregate rate giving PLR.
849 :rtype: 2-tuple of float
851 minimum_transmit_rate *= traffic_directions
852 maximum_transmit_rate *= traffic_directions
853 tg_instance = BuiltIn().get_library_instance(
854 u"resources.libraries.python.TrafficGenerator"
856 tg_instance.set_rate_provider_defaults(
857 frame_size, traffic_profile, traffic_directions=traffic_directions)
858 algorithm = PLRsearch(
859 measurer=tg_instance, trial_duration_per_trial=tdpt,
860 packet_loss_ratio_target=plr_target,
861 trial_number_offset=initial_count, timeout=timeout,
862 trace_enabled=trace_enabled
864 result = algorithm.search(minimum_transmit_rate, maximum_transmit_rate)