aboutsummaryrefslogtreecommitdiffstats
path: root/resources/libraries/python/TrafficGenerator.py
blob: 9faa3c49f6ec72d6d757f8c303f2c2e9af68aedb (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
1547
1548
1549
1550
1551
1552
1553
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
1576
1577
1578
1579
1580
1581
1582
1583
1584
1585
1586
1587
1588
1589
1590
1591
1592
1593
1594
1595
1596
1597
1598
1599
1600
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
1616
1617
1618
1619
1620
1621
1622
1623
1624
1625
1626
1627
1628
1629
1630
1631
1632
1633
1634
1635
1636
1637
1638
1639
1640
1641
1642
1643
1644
1645
1646
1647
1648
1649
1650
1651
1652
1653
1654
1655
1656
1657
1658
1659
1660
1661
1662
1663
1664
1665
1666
1667
1668
1669
1670
1671
1672
1673
1674
1675
1676
1677
1678
1679
1680
1681
1682
1683
1684
1685
1686
1687
1688
1689
1690
1691
1692
1693
1694
1695
1696
# Copyright (c) 2023 Cisco and/or its affiliates.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""Performance testing traffic generator library."""

import math
import time

from typing import Callable, List, Optional, Union

from robot.api import logger
from robot.libraries.BuiltIn import BuiltIn

from .Constants import Constants
from .DropRateSearch import DropRateSearch
from .MLRsearch import (
    AbstractMeasurer, Config, MeasurementResult,
    MultipleLossRatioSearch, SearchGoal, TrimmedStat,
)
from .PLRsearch.PLRsearch import PLRsearch
from .OptionString import OptionString
from .ssh import exec_cmd_no_error, exec_cmd
from .topology import NodeType
from .topology import NodeSubTypeTG
from .topology import Topology
from .TRexConfigGenerator import TrexConfig
from .DUTSetup import DUTSetup as DS

__all__ = [u"TGDropRateSearchImpl", u"TrafficGenerator", u"OptimizedSearch"]


def check_subtype(node):
    """Return supported subtype of given node, or raise an exception.

    Currently only one subtype is supported,
    but we want our code to be ready for other ones.

    :param node: Topology node to check. Can be None.
    :type node: dict or NoneType
    :returns: Subtype detected.
    :rtype: NodeSubTypeTG
    :raises RuntimeError: If node is not supported, message explains how.
    """
    if node.get(u"type") is None:
        msg = u"Node type is not defined"
    elif node[u"type"] != NodeType.TG:
        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(msg)


class TGDropRateSearchImpl(DropRateSearch):
    """Drop Rate Search implementation."""

    # def __init__(self):
    #     super(TGDropRateSearchImpl, self).__init__()

    def measure_loss(
            self, rate, frame_size, loss_acceptance, loss_acceptance_type,
            traffic_profile):
        """Runs the traffic and evaluate the measured results.

        :param rate: Offered traffic load.
        :param frame_size: Size of frame.
        :param loss_acceptance: Permitted drop ratio or frames count.
        :param loss_acceptance_type: Type of permitted loss.
        :param traffic_profile: Module name as a traffic profile identifier.
            See GPL/traffic_profiles/trex for implemented modules.
        :type rate: float
        :type frame_size: str
        :type loss_acceptance: float
        :type loss_acceptance_type: LossAcceptanceType
        :type traffic_profile: str
        :returns: Drop threshold exceeded? (True/False)
        :rtype: bool
        :raises NotImplementedError: If TG is not supported.
        :raises RuntimeError: If TG is not specified.
        """
        # we need instance of TrafficGenerator instantiated by Robot Framework
        # to be able to use trex_stl-*()
        tg_instance = BuiltIn().get_library_instance(
            u"resources.libraries.python.TrafficGenerator"
        )
        subtype = check_subtype(tg_instance.node)
        if subtype == NodeSubTypeTG.TREX:
            unit_rate = str(rate) + self.get_rate_type_str()
            tg_instance.trex_stl_start_remote_exec(
                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(
                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.

        :returns: Latency stats.
        :rtype: list
        """
        tg_instance = BuiltIn().get_library_instance(
            u"resources.libraries.python.TrafficGenerator"
        )
        return tg_instance.get_latency_int()


class TrexMode:
    """Defines mode of T-Rex traffic generator."""
    # Advanced stateful mode
    ASTF = u"ASTF"
    # Stateless mode
    STL = u"STL"


class TrafficGenerator(AbstractMeasurer):
    """Traffic Generator."""

    # Use one instance of TrafficGenerator for all tests in test suite
    ROBOT_LIBRARY_SCOPE = u"TEST SUITE"

    def __init__(self):
        self._node = None
        self._mode = None
        # TG interface order mapping
        self._ifaces_reordered = False
        # Result holding fields, to be removed.
        self._result = None
        self._loss = None
        self._sent = None
        self._latency = None
        self._received = None
        self._approximated_rate = None
        self._approximated_duration = None
        self._l7_data = None
        # Measurement input fields, needed for async stop result.
        self._start_time = None
        self._stop_time = None
        self._rate = None
        self._target_duration = None
        self._duration = None
        # Other input parameters, not knowable from measure() signature.
        self.frame_size = None
        self.traffic_profile = None
        self.traffic_directions = None
        self.negative_loss = None
        self.use_latency = None
        self.ppta = None
        self.resetter = None
        self.transaction_scale = None
        self.transaction_duration = None
        self.sleep_till_duration = None
        self.transaction_type = None
        self.duration_limit = None
        self.ramp_up_start = None
        self.ramp_up_stop = None
        self.ramp_up_rate = None
        self.ramp_up_duration = None
        self.state_timeout = None
        # Transient data needed for async measurements.
        self._xstats = ()

    @property
    def node(self):
        """Getter.

        :returns: Traffic generator node.
        :rtype: dict
        """
        return self._node

    def get_loss(self):
        """Return number of lost packets.

        :returns: Number of lost packets.
        :rtype: str
        """
        return self._loss

    def get_sent(self):
        """Return number of sent packets.

        :returns: Number of sent packets.
        :rtype: str
        """
        return self._sent

    def get_received(self):
        """Return number of received packets.

        :returns: Number of received packets.
        :rtype: str
        """
        return self._received

    def get_latency_int(self):
        """Return rounded min/avg/max latency.

        :returns: Latency stats.
        :rtype: list
        """
        return self._latency

    def get_approximated_rate(self):
        """Return approximated rate computed as ratio of transmitted packets
        over duration of trial.

        :returns: Approximated rate.
        :rtype: str
        """
        return self._approximated_rate

    def get_l7_data(self):
        """Return L7 data.

        :returns: Number of received packets.
        :rtype: dict
        """
        return self._l7_data

    def check_mode(self, expected_mode):
        """Check TG mode.

        :param expected_mode: Expected traffic generator mode.
        :type expected_mode: object
        :raises RuntimeError: In case of unexpected TG mode.
        """
        if self._mode == expected_mode:
            return
        raise RuntimeError(
            f"{self._node[u'subtype']} not running in {expected_mode} mode!"
        )

    @staticmethod
    def get_tg_type(tg_node):
        """Log and return the installed traffic generator type.

        :param tg_node: Node from topology file.
        :type tg_node: dict
        :returns: Traffic generator type string.
        :rtype: str
        :raises RuntimeError: If command returns nonzero return code.
        """
        return str(check_subtype(tg_node))

    @staticmethod
    def get_tg_version(tg_node):
        """Log and return the installed traffic generator version.

        :param tg_node: Node from topology file.
        :type tg_node: dict
        :returns: Traffic generator version string.
        :rtype: str
        :raises RuntimeError: If command returns nonzero return code.
        """
        subtype = check_subtype(tg_node)
        if subtype == NodeSubTypeTG.TREX:
            command = f"cat {Constants.TREX_INSTALL_DIR}/VERSION"
            message = u"Get T-Rex version failed!"
            stdout, _ = exec_cmd_no_error(tg_node, command, message=message)
            return stdout.strip()
        return "none"

    def initialize_traffic_generator(self, osi_layer, parallel_links=1):
        """TG initialization.

        :param osi_layer: 'L2', 'L3' or 'L7' - OSI Layer testing type.
        :param parallel_links: Number of parallel links to configure.
        :type osi_layer: str
        :type parallel_links: int
        :raises ValueError: If OSI layer is unknown.
        """
        if osi_layer not in ("L2", "L3", "L7"):
            raise ValueError("Unknown OSI layer!")

        topology = BuiltIn().get_variable_value("&{topology_info}")
        self._node = topology["TG"]
        subtype = check_subtype(self._node)

        if subtype == NodeSubTypeTG.TREX:
            trex_topology = list()
            self._mode = TrexMode.ASTF if osi_layer == "L7" else TrexMode.STL

            for link in range(1, parallel_links*2, 2):
                tg_if1_adj_addr = topology[f"TG_pf{link+1}_mac"][0]
                tg_if2_adj_addr = topology[f"TG_pf{link}_mac"][0]
                if osi_layer in ("L3", "L7") and "DUT1" in topology.keys():
                    ifl = BuiltIn().get_variable_value("${int}")
                    last = topology["duts_count"]
                    tg_if1_adj_addr = Topology().get_interface_mac(
                        topology["DUT1"],
                        BuiltIn().get_variable_value(
                            f"${{DUT1_{ifl}{link}}}[0]"
                        )
                    )
                    tg_if2_adj_addr = Topology().get_interface_mac(
                        topology[f"DUT{last}"],
                        BuiltIn().get_variable_value(
                            f"${{DUT{last}_{ifl}{link+1}}}[0]"
                        )
                    )

                trex_topology.append(
                    dict(
                        interface=topology[f"TG_pf{link}"][0],
                        dst_mac=tg_if1_adj_addr
                    )
                )
                trex_topology.append(
                    dict(
                        interface=topology[f"TG_pf{link+1}"][0],
                        dst_mac=tg_if2_adj_addr
                    )
                )
                if1_pci = topology[f"TG_pf{link}_pci"][0]
                if2_pci = topology[f"TG_pf{link+1}_pci"][0]
                if min(if1_pci, if2_pci) != if1_pci:
                    self._ifaces_reordered = True
                    trex_topology.reverse()

            TrexConfig.add_startup_configuration(
                self._node, trex_topology
            )
            TrafficGenerator.startup_trex(
                self._node, osi_layer, subtype=subtype
            )

    @staticmethod
    def startup_trex(tg_node, osi_layer, subtype=None):
        """Startup sequence for the TRex traffic generator.

        :param tg_node: Traffic generator node.
        :param osi_layer: 'L2', 'L3' or 'L7' - OSI Layer testing type.
        :param subtype: Traffic generator sub-type.
        :type tg_node: dict
        :type osi_layer: str
        :type subtype: NodeSubTypeTG
        :raises RuntimeError: If T-Rex startup failed.
        :raises ValueError: If OSI layer is not supported.
        """
        if not subtype:
            subtype = check_subtype(tg_node)
        if subtype == NodeSubTypeTG.TREX:
            for _ in range(0, 3):
                # Kill TRex only if it is already running.
                cmd = u"sh -c \"pgrep t-rex && pkill t-rex && sleep 3 || true\""
                exec_cmd_no_error(
                    tg_node, cmd, sudo=True, message=u"Kill TRex failed!"
                )

                # Prepare interfaces for TRex.
                tg_port_drv = Constants.TREX_PORT_DRIVER
                mlx_driver = u""
                for port in tg_node[u"interfaces"].values():
                    if u"Mellanox" in port.get(u"model"):
                        mlx_driver = port.get(u"driver")
                        pci_addr = port.get(u'pci_address')
                        cur_driver = DS.get_pci_dev_driver(tg_node, pci_addr)
                        if cur_driver == mlx_driver:
                            pass
                        elif not cur_driver:
                            DS.pci_driver_bind(tg_node, pci_addr, mlx_driver)
                        else:
                            DS.pci_driver_unbind(tg_node, pci_addr)
                            DS.pci_driver_bind(tg_node, pci_addr, mlx_driver)
                    else:
                        pci_addr = port.get(u'pci_address')
                        cur_driver = DS.get_pci_dev_driver(tg_node, pci_addr)
                        if cur_driver:
                            DS.pci_driver_unbind(tg_node, pci_addr)
                        DS.pci_driver_bind(tg_node, pci_addr, tg_port_drv)

                # Start TRex.
                cd_cmd = f"cd '{Constants.TREX_INSTALL_DIR}/scripts/'"
                trex_cmd = OptionString([u"nohup", u"./t-rex-64"])
                trex_cmd.add(u"-i")
                trex_cmd.add(u"--prefix $(hostname)")
                trex_cmd.add(u"--hdrh")
                trex_cmd.add(u"--no-scapy-server")
                trex_cmd.add_if(u"--astf", osi_layer == u"L7")
                # OptionString does not create double space if extra is empty.
                trex_cmd.add(f"{Constants.TREX_EXTRA_CMDLINE}")
                inner_command = f"{cd_cmd} && {trex_cmd} > /tmp/trex.log 2>&1 &"
                cmd = f"sh -c \"{inner_command}\" > /dev/null"
                try:
                    exec_cmd_no_error(tg_node, cmd, sudo=True)
                except RuntimeError:
                    cmd = u"sh -c \"cat /tmp/trex.log\""
                    exec_cmd_no_error(
                        tg_node, cmd, sudo=True,
                        message=u"Get TRex logs failed!"
                    )
                    raise RuntimeError(u"Start TRex failed!")

                # Test T-Rex API responsiveness.
                cmd = f"python3 {Constants.REMOTE_FW_DIR}/GPL/tools/trex/"
                if osi_layer in (u"L2", u"L3"):
                    cmd += u"trex_stl_assert.py"
                elif osi_layer == u"L7":
                    cmd += u"trex_astf_assert.py"
                else:
                    raise ValueError(u"Unknown OSI layer!")
                try:
                    exec_cmd_no_error(
                        tg_node, cmd, sudo=True,
                        message=u"T-Rex API is not responding!", retries=20
                    )
                except RuntimeError:
                    continue
                return
            # After max retries TRex is still not responding to API critical
            # error occurred.
            exec_cmd(tg_node, u"cat /tmp/trex.log", sudo=True)
            raise RuntimeError(u"Start T-Rex failed after multiple retries!")

    @staticmethod
    def is_trex_running(node):
        """Check if T-Rex is running using pidof.

        :param node: Traffic generator node.
        :type node: dict
        :returns: True if T-Rex is running otherwise False.
        :rtype: bool
        """
        ret, _, _ = exec_cmd(node, u"pgrep t-rex", sudo=True)
        return bool(int(ret) == 0)

    @staticmethod
    def teardown_traffic_generator(node):
        """TG teardown.

        :param node: Traffic generator node.
        :type node: dict
        :returns: nothing
        :raises RuntimeError: If node type is not a TG,
            or if T-Rex teardown fails.
        """
        subtype = check_subtype(node)
        if subtype == NodeSubTypeTG.TREX:
            exec_cmd_no_error(
                node,
                u"sh -c "
                u"\"if pgrep t-rex; then sudo pkill t-rex && sleep 3; fi\"",
                sudo=False,
                message=u"T-Rex kill failed!"
            )

    def trex_astf_stop_remote_exec(self, node):
        """Execute T-Rex ASTF script on remote node over ssh to stop running
        traffic.

        Internal state is updated with measurement results.

        :param node: T-Rex generator node.
        :type node: dict
        :raises RuntimeError: If stop traffic script fails.
        """
        command_line = OptionString().add("python3")
        dirname = f"{Constants.REMOTE_FW_DIR}/GPL/tools/trex"
        command_line.add(f"'{dirname}/trex_astf_stop.py'")
        command_line.add("--xstat")
        for value in self._xstats:
            if value is not None:
                value = value.replace("'", "\"")
                command_line.add(f"'{value}'")
        stdout, _ = exec_cmd_no_error(
            node, command_line,
            message="T-Rex ASTF runtime error!"
        )
        self._parse_traffic_results(stdout)

    def trex_stl_stop_remote_exec(self, node):
        """Execute T-Rex STL script on remote node over ssh to stop running
        traffic.

        Internal state is updated with measurement results.

        :param node: T-Rex generator node.
        :type node: dict
        :raises RuntimeError: If stop traffic script fails.
        """
        command_line = OptionString().add("python3")
        dirname = f"{Constants.REMOTE_FW_DIR}/GPL/tools/trex"
        command_line.add(f"'{dirname}/trex_stl_stop.py'")
        command_line.add("--xstat")
        for value in self._xstats:
            if value is not None:
                value = value.replace("'", "\"")
                command_line.add(f"'{value}'")
        stdout, _ = exec_cmd_no_error(
            node, command_line,
            message="T-Rex STL runtime error!"
        )
        self._parse_traffic_results(stdout)

    def stop_traffic_on_tg(self):
        """Stop all traffic on TG.

        :returns: Structure containing the result of the measurement.
        :rtype: MeasurementResult
        :raises ValueError: If TG traffic profile is not supported.
        """
        subtype = check_subtype(self._node)
        if subtype != NodeSubTypeTG.TREX:
            raise ValueError(f"Unsupported TG subtype: {subtype!r}")
        if u"trex-astf" in self.traffic_profile:
            self.trex_astf_stop_remote_exec(self._node)
        elif u"trex-stl" in self.traffic_profile:
            self.trex_stl_stop_remote_exec(self._node)
        else:
            raise ValueError(u"Unsupported T-Rex traffic profile!")
        self._stop_time = time.monotonic()

        return self._get_measurement_result()

    def _compute_duration(self, duration, multiplier):
        """Compute duration for profile driver.

        The final result is influenced by transaction scale and duration limit.
        It is assumed a higher level function has already set those on self.
        The duration argument is the target value from search point of view,
        before the overrides are applied here.

        Minus one (signalling async traffic start) is kept.

        Completeness flag is also included. Duration limited or async trials
        are not considered complete for ramp-up purposes.

        :param duration: Time expressed in seconds for how long to send traffic.
        :param multiplier: Traffic rate in transactions per second.
        :type duration: float
        :type multiplier: float
        :returns: New duration and whether it was a complete ramp-up candidate.
        :rtype: float, bool
        """
        if duration < 0.0:
            # Keep the async -1.
            return duration, False
        computed_duration = duration
        if self.transaction_scale:
            computed_duration = self.transaction_scale / multiplier
            # Log the computed duration,
            # so we can compare with what telemetry suggests
            # the real duration was.
            logger.debug(f"Expected duration {computed_duration}")
        if not self.duration_limit:
            return computed_duration, True
        limited_duration = min(computed_duration, self.duration_limit)
        return limited_duration, (limited_duration == computed_duration)

    def trex_astf_start_remote_exec(
            self, duration, multiplier, async_call=False):
        """Execute T-Rex ASTF script on remote node over ssh to start running
        traffic.

        In sync mode, measurement results are stored internally.
        In async mode, initial data including xstats are stored internally.

        This method contains the logic to compute duration as maximum time
        if transaction_scale is nonzero.
        The transaction_scale argument defines (limits) how many transactions
        will be started in total. As that amount of transaction can take
        considerable time (sometimes due to explicit delays in the profile),
        the real time a trial needs to finish is computed here. For now,
        in that case the duration argument is ignored, assuming it comes
        from ASTF-unaware search algorithm. The overall time a single
        transaction needs is given in parameter transaction_duration,
        it includes both explicit delays and implicit time it takes
        to transfer data (or whatever the transaction does).

        Currently it is observed TRex does not start the ASTF traffic
        immediately, an ad-hoc constant is added to the computed duration
        to compensate for that.

        If transaction_scale is zero, duration is not recomputed.
        It is assumed the subsequent result parsing gets the real duration
        if the traffic stops sooner for any reason.

        Currently, it is assumed traffic profile defines a single transaction.
        To avoid heavy logic here, the input rate is expected to be in
        transactions per second, as that directly translates to TRex multiplier,
        (assuming the profile does not override the default cps value of one).

        :param duration: Time expressed in seconds for how long to send traffic.
        :param multiplier: Traffic rate in transactions per second.
        :param async_call: If enabled then don't wait for all incoming traffic.
        :type duration: float
        :type multiplier: int
        :type async_call: bool
        :raises RuntimeError: In case of T-Rex driver issue.
        """
        self.check_mode(TrexMode.ASTF)
        p_0, p_1 = (1, 0) if self._ifaces_reordered else (0, 1)
        if not isinstance(duration, (float, int)):
            duration = float(duration)

        computed_duration, _ = self._compute_duration(duration, multiplier)

        command_line = OptionString().add(u"python3")
        dirname = f"{Constants.REMOTE_FW_DIR}/GPL/tools/trex"
        command_line.add(f"'{dirname}/trex_astf_profile.py'")
        command_line.change_prefix(u"--")
        dirname = f"{Constants.REMOTE_FW_DIR}/GPL/traffic_profiles/trex"
        command_line.add_with_value(
            u"profile", f"'{dirname}/{self.traffic_profile}.py'"
        )
        command_line.add_with_value(u"duration", f"{computed_duration!r}")
        command_line.add_with_value(u"frame_size", self.frame_size)
        command_line.add_with_value(
            u"n_data_frames", Constants.ASTF_N_DATA_FRAMES
        )
        command_line.add_with_value(u"multiplier", multiplier)
        command_line.add_with_value(u"port_0", p_0)
        command_line.add_with_value(u"port_1", p_1)
        command_line.add_with_value(
            u"traffic_directions", self.traffic_directions
        )
        command_line.add_if(u"async_start", async_call)
        command_line.add_if(u"latency", self.use_latency)
        command_line.add_if(u"force", Constants.TREX_SEND_FORCE)
        command_line.add_with_value(
            u"delay", Constants.PERF_TRIAL_ASTF_DELAY
        )

        self._start_time = time.monotonic()
        self._rate = multiplier
        stdout, _ = exec_cmd_no_error(
            self._node, command_line, timeout=computed_duration + 10.0,
            message=u"T-Rex ASTF runtime error!"
        )

        if async_call:
            # no result
            self._target_duration = None
            self._duration = None
            self._received = None
            self._sent = None
            self._loss = None
            self._latency = None
            xstats = []
            self._l7_data = dict()
            self._l7_data[u"client"] = dict()
            self._l7_data[u"client"][u"active_flows"] = None
            self._l7_data[u"client"][u"established_flows"] = None
            self._l7_data[u"client"][u"traffic_duration"] = None
            self._l7_data[u"server"] = dict()
            self._l7_data[u"server"][u"active_flows"] = None
            self._l7_data[u"server"][u"established_flows"] = None
            self._l7_data[u"server"][u"traffic_duration"] = None
            if u"udp" in self.traffic_profile:
                self._l7_data[u"client"][u"udp"] = dict()
                self._l7_data[u"client"][u"udp"][u"connects"] = None
                self._l7_data[u"client"][u"udp"][u"closed_flows"] = None
                self._l7_data[u"client"][u"udp"][u"err_cwf"] = None
                self._l7_data[u"server"][u"udp"] = dict()
                self._l7_data[u"server"][u"udp"][u"accepted_flows"] = None
                self._l7_data[u"server"][u"udp"][u"closed_flows"] = None
            elif u"tcp" in self.traffic_profile:
                self._l7_data[u"client"][u"tcp"] = dict()
                self._l7_data[u"client"][u"tcp"][u"initiated_flows"] = None
                self._l7_data[u"client"][u"tcp"][u"connects"] = None
                self._l7_data[u"client"][u"tcp"][u"closed_flows"] = None
                self._l7_data[u"client"][u"tcp"][u"connattempt"] = None
                self._l7_data[u"server"][u"tcp"] = dict()
                self._l7_data[u"server"][u"tcp"][u"accepted_flows"] = None
                self._l7_data[u"server"][u"tcp"][u"connects"] = None
                self._l7_data[u"server"][u"tcp"][u"closed_flows"] = None
            else:
                logger.warn(u"Unsupported T-Rex ASTF traffic profile!")
            index = 0
            for line in stdout.splitlines():
                if f"Xstats snapshot {index}: " in line:
                    xstats.append(line[19:])
                    index += 1
            self._xstats = tuple(xstats)
        else:
            self._target_duration = duration
            self._duration = computed_duration
            self._parse_traffic_results(stdout)

    def trex_stl_start_remote_exec(self, duration, rate, async_call=False):
        """Execute T-Rex STL script on remote node over ssh to start running
        traffic.

        In sync mode, measurement results are stored internally.
        In async mode, initial data including xstats are stored internally.

        Mode-unaware code (e.g. in search algorithms) works with transactions.
        To keep the logic simple, multiplier is set to that value.
        As bidirectional traffic profiles send packets in both directions,
        they are treated as transactions with two packets (one per direction).

        :param duration: Time expressed in seconds for how long to send traffic.
        :param rate: Traffic rate in transactions per second.
        :param async_call: If enabled then don't wait for all incoming traffic.
        :type duration: float
        :type rate: str
        :type async_call: bool
        :raises RuntimeError: In case of T-Rex driver issue.
        """
        self.check_mode(TrexMode.STL)
        p_0, p_1 = (1, 0) if self._ifaces_reordered else (0, 1)
        if not isinstance(duration, (float, int)):
            duration = float(duration)

        duration, _ = self._compute_duration(duration=duration, multiplier=rate)

        command_line = OptionString().add(u"python3")
        dirname = f"{Constants.REMOTE_FW_DIR}/GPL/tools/trex"
        command_line.add(f"'{dirname}/trex_stl_profile.py'")
        command_line.change_prefix(u"--")
        dirname = f"{Constants.REMOTE_FW_DIR}/GPL/traffic_profiles/trex"
        command_line.add_with_value(
            u"profile", f"'{dirname}/{self.traffic_profile}.py'"
        )
        command_line.add_with_value(u"duration", f"{duration!r}")
        command_line.add_with_value(u"frame_size", self.frame_size)
        command_line.add_with_value(u"rate", f"{rate!r}")
        command_line.add_with_value(u"port_0", p_0)
        command_line.add_with_value(u"port_1", p_1)
        command_line.add_with_value(
            u"traffic_directions", self.traffic_directions
        )
        command_line.add_if(u"async_start", async_call)
        command_line.add_if(u"latency", self.use_latency)
        command_line.add_if(u"force", Constants.TREX_SEND_FORCE)
        command_line.add_with_value(u"delay", Constants.PERF_TRIAL_STL_DELAY)

        self._start_time = time.monotonic()
        self._rate = float(rate[:-3]) if u"pps" in rate else float(rate)
        stdout, _ = exec_cmd_no_error(
            self._node, command_line, timeout=int(duration) + 60,
            message=u"T-Rex STL runtime error"
        )

        if async_call:
            # no result
            self._target_duration = None
            self._duration = None
            self._received = None
            self._sent = None
            self._loss = None
            self._latency = None

            xstats = []
            index = 0
            for line in stdout.splitlines():
                if f"Xstats snapshot {index}: " in line:
                    xstats.append(line[19:])
                    index += 1
            self._xstats = tuple(xstats)
        else:
            self._target_duration = duration
            self._duration = duration
            self._parse_traffic_results(stdout)

    def send_traffic_on_tg(
            self,
            duration,
            rate,
            frame_size,
            traffic_profile,
            async_call=False,
            ppta=1,
            traffic_directions=2,
            transaction_duration=0.0,
            transaction_scale=0,
            transaction_type=u"packet",
            duration_limit=0.0,
            use_latency=False,
            ramp_up_rate=None,
            ramp_up_duration=None,
            state_timeout=240.0,
            ramp_up_only=False,
        ):
        """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 traffic generator uses DPDK driver which might
        reorder port numbers based on wiring and PCI numbering.
        This method handles that, so argument values are invariant,
        but you can see swapped valued in debug logs.

        When transaction_scale is specified, the duration value is ignored
        and the needed time is computed. For cases where this results in
        to too long measurement (e.g. teardown trial with small rate),
        duration_limit is applied (of non-zero), so the trial is stopped sooner.

        Bidirectional STL profiles are treated as transactions with two packets.

        The return value is None for async.

        :param duration: Duration of test traffic generation in seconds.
        :param rate: Traffic rate in transactions per second.
        :param frame_size: Frame size (L2) in Bytes.
        :param traffic_profile: Module name as a traffic profile identifier.
            See GPL/traffic_profiles/trex for implemented modules.
        :param async_call: Async mode.
        :param ppta: Packets per transaction, aggregated over directions.
            Needed for udp_pps which does not have a good transaction counter,
            so we need to compute expected number of packets.
            Default: 1.
        :param traffic_directions: Traffic is bi- (2) or uni- (1) directional.
            Default: 2
        :param transaction_duration: Total expected time to close transaction.
        :param transaction_scale: Number of transactions to perform.
            0 (default) means unlimited.
        :param transaction_type: An identifier specifying which counters
            and formulas to use when computing attempted and failed
            transactions. Default: "packet".
        :param duration_limit: Zero or maximum limit for computed (or given)
            duration.
        :param use_latency: Whether to measure latency during the trial.
            Default: False.
        :param ramp_up_rate: Rate to use in ramp-up trials [pps].
        :param ramp_up_duration: Duration of ramp-up trials [s].
        :param state_timeout: Time of life of DUT state [s].
        :param ramp_up_only: If true, do not perform main trial measurement.
        :type duration: float
        :type rate: float
        :type frame_size: str
        :type traffic_profile: str
        :type async_call: bool
        :type ppta: int
        :type traffic_directions: int
        :type transaction_duration: float
        :type transaction_scale: int
        :type transaction_type: str
        :type duration_limit: float
        :type use_latency: bool
        :type ramp_up_rate: float
        :type ramp_up_duration: float
        :type state_timeout: float
        :type ramp_up_only: bool
        :returns: TG results.
        :rtype: MeasurementResult or None
        :raises ValueError: If TG traffic profile is not supported.
        """
        self.set_rate_provider_defaults(
            frame_size=frame_size,
            traffic_profile=traffic_profile,
            ppta=ppta,
            traffic_directions=traffic_directions,
            transaction_duration=transaction_duration,
            transaction_scale=transaction_scale,
            transaction_type=transaction_type,
            duration_limit=duration_limit,
            use_latency=use_latency,
            ramp_up_rate=ramp_up_rate,
            ramp_up_duration=ramp_up_duration,
            state_timeout=state_timeout,
        )
        return self._send_traffic_on_tg_with_ramp_up(
            duration=duration,
            rate=rate,
            async_call=async_call,
            ramp_up_only=ramp_up_only,
        )

    def _send_traffic_on_tg_internal(
            self, duration, rate, async_call=False):
        """Send traffic from all configured interfaces on TG.

        This is an internal function, it assumes set_rate_provider_defaults
        has been called to remember most values.
        The reason why need to remember various values is that
        the traffic can be asynchronous, and parsing needs those values.
        The reason why this is is a separate function from the one
        which calls set_rate_provider_defaults is that some search algorithms
        need to specify their own values, and we do not want the measure call
        to overwrite them with defaults.

        This function is used both for automated ramp-up trials
        and for explicitly called trials.

        :param duration: Duration of test traffic generation in seconds.
        :param rate: Traffic rate in transactions per second.
        :param async_call: Async mode.
        :type duration: float
        :type rate: float
        :type async_call: bool
        :returns: TG results.
        :rtype: MeasurementResult or None
        :raises ValueError: If TG traffic profile is not supported.
        """
        subtype = check_subtype(self._node)
        if subtype == NodeSubTypeTG.TREX:
            if u"trex-astf" in self.traffic_profile:
                self.trex_astf_start_remote_exec(
                    duration, float(rate), async_call
                )
            elif u"trex-stl" in self.traffic_profile:
                unit_rate_str = str(rate) + u"pps"
                self.trex_stl_start_remote_exec(
                    duration, unit_rate_str, async_call
                )
            else:
                raise ValueError(u"Unsupported T-Rex traffic profile!")

        return None if async_call else self._get_measurement_result()

    def _send_traffic_on_tg_with_ramp_up(
            self, duration, rate, async_call=False, ramp_up_only=False):
        """Send traffic from all interfaces on TG, maybe after ramp-up.

        This is an internal function, it assumes set_rate_provider_defaults
        has been called to remember most values.
        The reason why need to remember various values is that
        the traffic can be asynchronous, and parsing needs those values.
        The reason why this is a separate function from the one
        which calls set_rate_provider_defaults is that some search algorithms
        need to specify their own values, and we do not want the measure call
        to overwrite them with defaults.

        If ramp-up tracking is detected, a computation is performed,
        and if state timeout is near, trial at ramp-up rate and duration
        is inserted before the main trial measurement.

        The ramp_up_only parameter forces a ramp-up without immediate
        trial measurement, which is useful in case self remembers
        a previous ramp-up trial that belongs to a different test (phase).

        Return None if trial is async or ramp-up only.

        :param duration: Duration of test traffic generation in seconds.
        :param rate: Traffic rate in transactions per second.
        :param async_call: Async mode.
        :param ramp_up_only: If true, do not perform main trial measurement.
        :type duration: float
        :type rate: float
        :type async_call: bool
        :type ramp_up_only: bool
        :returns: TG results.
        :rtype: MeasurementResult or None
        :raises ValueError: If TG traffic profile is not supported.
        """
        complete = False
        if self.ramp_up_rate:
            # Figure out whether we need to insert a ramp-up trial.
            if ramp_up_only or self.ramp_up_start is None:
                # We never ramped up yet (at least not in this test case).
                ramp_up_needed = True
            else:
                # We ramped up before, but maybe it was too long ago.
                # Adding a constant overhead to be safe.
                time_now = time.monotonic() + 1.0
                computed_duration, complete = self._compute_duration(
                    duration=duration,
                    multiplier=rate,
                )
                # There are two conditions for inserting ramp-up.
                # If early sessions are expiring already,
                # or if late sessions are to expire before measurement is over.
                ramp_up_start_delay = time_now - self.ramp_up_start
                ramp_up_stop_delay = time_now - self.ramp_up_stop
                ramp_up_stop_delay += computed_duration
                bigger_delay = max(ramp_up_start_delay, ramp_up_stop_delay)
                # Final boolean decision.
                ramp_up_needed = (bigger_delay >= self.state_timeout)
            if ramp_up_needed:
                logger.debug(
                    u"State may time out during next real trial, "
                    u"inserting a ramp-up trial."
                )
                self.ramp_up_start = time.monotonic()
                self._send_traffic_on_tg_internal(
                    duration=self.ramp_up_duration,
                    rate=self.ramp_up_rate,
                    async_call=async_call,
                )
                self.ramp_up_stop = time.monotonic()
                logger.debug(u"Ramp-up done.")
            else:
                logger.debug(
                    u"State will probably not time out during next real trial, "
                    u"no ramp-up trial needed just yet."
                )
        if ramp_up_only:
            return None
        trial_start = time.monotonic()
        result = self._send_traffic_on_tg_internal(
            duration=duration,
            rate=rate,
            async_call=async_call,
        )
        trial_end = time.monotonic()
        if self.ramp_up_rate:
            # Optimization: No loss acts as a good ramp-up, if it was complete.
            if complete and result is not None and result.loss_ratio == 0.0:
                logger.debug(u"Good trial acts as a ramp-up")
                self.ramp_up_start = trial_start
                self.ramp_up_stop = trial_end
            else:
                logger.debug(u"Loss or incomplete, does not act as a ramp-up.")
        return result

    def no_traffic_loss_occurred(self):
        """Fail if loss occurred in traffic run.

        :returns: nothing
        :raises Exception: If loss occured.
        """
        if self._loss is None:
            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.

        :returns: nothing
        :raises Exception: If no traffic forwarded.
        """
        if self._received is None:
            raise RuntimeError(u"The traffic generation has not been issued")
        if self._received == 0:
            raise RuntimeError(u"No traffic forwarded")

    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.
        :param loss_acceptance_type: Type of permitted loss.
        :type loss_acceptance: float
        :type loss_acceptance_type: LossAcceptanceType
        :returns: nothing
        :raises Exception: If loss is above acceptance criteria.
        """
        if self._loss is None:
            raise Exception(u"The traffic generation has not been issued")

        if loss_acceptance_type == u"percentage":
            loss = (float(self._loss) / float(self._sent)) * 100
        elif loss_acceptance_type == u"frames":
            loss = float(self._loss)
        else:
            raise Exception(u"Loss acceptance type not supported")

        if loss > float(loss_acceptance):
            raise Exception(
                f"Traffic loss {loss} above loss acceptance: {loss_acceptance}"
            )

    def _parse_traffic_results(self, stdout):
        """Parse stdout of scripts into fields of self.

        Block of code to reuse, by sync start, or stop after async.

        :param stdout: Text containing the standard output.
        :type stdout: str
        """
        subtype = check_subtype(self._node)
        if subtype == NodeSubTypeTG.TREX:
            # Last line from console output
            line = stdout.splitlines()[-1]
            results = line.split(u";")
            if results[-1] in (u" ", u""):
                results.pop(-1)
            self._result = dict()
            for result in results:
                key, value = result.split(u"=", maxsplit=1)
                self._result[key.strip()] = value
            logger.info(f"TrafficGen results:\n{self._result}")
            self._received = int(self._result.get(u"total_received"), 0)
            self._sent = int(self._result.get(u"total_sent", 0))
            self._loss = int(self._result.get(u"frame_loss", 0))
            self._approximated_duration = \
                self._result.get(u"approximated_duration", 0.0)
            if u"manual" not in str(self._approximated_duration):
                self._approximated_duration = float(self._approximated_duration)
            self._latency = list()
            self._latency.append(self._result.get(u"latency_stream_0(usec)"))
            self._latency.append(self._result.get(u"latency_stream_1(usec)"))
            if self._mode == TrexMode.ASTF:
                self._l7_data = dict()
                self._l7_data[u"client"] = dict()
                self._l7_data[u"client"][u"sent"] = \
                    int(self._result.get(u"client_sent", 0))
                self._l7_data[u"client"][u"received"] = \
                    int(self._result.get(u"client_received", 0))
                self._l7_data[u"client"][u"active_flows"] = \
                    int(self._result.get(u"client_active_flows", 0))
                self._l7_data[u"client"][u"established_flows"] = \
                    int(self._result.get(u"client_established_flows", 0))
                self._l7_data[u"client"][u"traffic_duration"] = \
                    float(self._result.get(u"client_traffic_duration", 0.0))
                self._l7_data[u"client"][u"err_rx_throttled"] = \
                    int(self._result.get(u"client_err_rx_throttled", 0))
                self._l7_data[u"client"][u"err_c_nf_throttled"] = \
                    int(self._result.get(u"client_err_nf_throttled", 0))
                self._l7_data[u"client"][u"err_flow_overflow"] = \
                    int(self._result.get(u"client_err_flow_overflow", 0))
                self._l7_data[u"server"] = dict()
                self._l7_data[u"server"][u"active_flows"] = \
                    int(self._result.get(u"server_active_flows", 0))
                self._l7_data[u"server"][u"established_flows"] = \
                    int(self._result.get(u"server_established_flows", 0))
                self._l7_data[u"server"][u"traffic_duration"] = \
                    float(self._result.get(u"server_traffic_duration", 0.0))
                self._l7_data[u"server"][u"err_rx_throttled"] = \
                    int(self._result.get(u"client_err_rx_throttled", 0))
                if u"udp" in self.traffic_profile:
                    self._l7_data[u"client"][u"udp"] = dict()
                    self._l7_data[u"client"][u"udp"][u"connects"] = \
                        int(self._result.get(u"client_udp_connects", 0))
                    self._l7_data[u"client"][u"udp"][u"closed_flows"] = \
                        int(self._result.get(u"client_udp_closed", 0))
                    self._l7_data[u"client"][u"udp"][u"tx_bytes"] = \
                        int(self._result.get(u"client_udp_tx_bytes", 0))
                    self._l7_data[u"client"][u"udp"][u"rx_bytes"] = \
                        int(self._result.get(u"client_udp_rx_bytes", 0))
                    self._l7_data[u"client"][u"udp"][u"tx_packets"] = \
                        int(self._result.get(u"client_udp_tx_packets", 0))
                    self._l7_data[u"client"][u"udp"][u"rx_packets"] = \
                        int(self._result.get(u"client_udp_rx_packets", 0))
                    self._l7_data[u"client"][u"udp"][u"keep_drops"] = \
                        int(self._result.get(u"client_udp_keep_drops", 0))
                    self._l7_data[u"client"][u"udp"][u"err_cwf"] = \
                        int(self._result.get(u"client_err_cwf", 0))
                    self._l7_data[u"server"][u"udp"] = dict()
                    self._l7_data[u"server"][u"udp"][u"accepted_flows"] = \
                        int(self._result.get(u"server_udp_accepts", 0))
                    self._l7_data[u"server"][u"udp"][u"closed_flows"] = \
                        int(self._result.get(u"server_udp_closed", 0))
                    self._l7_data[u"server"][u"udp"][u"tx_bytes"] = \
                        int(self._result.get(u"server_udp_tx_bytes", 0))
                    self._l7_data[u"server"][u"udp"][u"rx_bytes"] = \
                        int(self._result.get(u"server_udp_rx_bytes", 0))
                    self._l7_data[u"server"][u"udp"][u"tx_packets"] = \
                        int(self._result.get(u"server_udp_tx_packets", 0))
                    self._l7_data[u"server"][u"udp"][u"rx_packets"] = \
                        int(self._result.get(u"server_udp_rx_packets", 0))
                elif u"tcp" in self.traffic_profile:
                    self._l7_data[u"client"][u"tcp"] = dict()
                    self._l7_data[u"client"][u"tcp"][u"initiated_flows"] = \
                        int(self._result.get(u"client_tcp_connect_inits", 0))
                    self._l7_data[u"client"][u"tcp"][u"connects"] = \
                        int(self._result.get(u"client_tcp_connects", 0))
                    self._l7_data[u"client"][u"tcp"][u"closed_flows"] = \
                        int(self._result.get(u"client_tcp_closed", 0))
                    self._l7_data[u"client"][u"tcp"][u"connattempt"] = \
                        int(self._result.get(u"client_tcp_connattempt", 0))
                    self._l7_data[u"client"][u"tcp"][u"tx_bytes"] = \
                        int(self._result.get(u"client_tcp_tx_bytes", 0))
                    self._l7_data[u"client"][u"tcp"][u"rx_bytes"] = \
                        int(self._result.get(u"client_tcp_rx_bytes", 0))
                    self._l7_data[u"server"][u"tcp"] = dict()
                    self._l7_data[u"server"][u"tcp"][u"accepted_flows"] = \
                        int(self._result.get(u"server_tcp_accepts", 0))
                    self._l7_data[u"server"][u"tcp"][u"connects"] = \
                        int(self._result.get(u"server_tcp_connects", 0))
                    self._l7_data[u"server"][u"tcp"][u"closed_flows"] = \
                        int(self._result.get(u"server_tcp_closed", 0))
                    self._l7_data[u"server"][u"tcp"][u"tx_bytes"] = \
                        int(self._result.get(u"server_tcp_tx_bytes", 0))
                    self._l7_data[u"server"][u"tcp"][u"rx_bytes"] = \
                        int(self._result.get(u"server_tcp_rx_bytes", 0))

    def _get_measurement_result(self):
        """Return the result of last measurement as MeasurementResult.

        Separate function, as measurements can end either by time
        or by explicit call, this is the common block at the end.

        The intended_load field of MeasurementResult is in
        transactions per second. Transmit count and loss count units
        depend on the transaction type. Usually they are in transactions
        per second, or aggregated packets per second.

        :returns: Structure containing the result of the measurement.
        :rtype: MeasurementResult
        """
        duration_with_overheads = time.monotonic() - self._start_time
        try:
            # Client duration seems to include a setup period
            # where TRex does not send any packets yet.
            # Server duration does not include it.
            server_data = self._l7_data[u"server"]
            approximated_duration = float(server_data[u"traffic_duration"])
        except (KeyError, AttributeError, ValueError, TypeError):
            approximated_duration = None
        try:
            if not approximated_duration:
                approximated_duration = float(self._approximated_duration)
        except ValueError:  # "manual"
            approximated_duration = None
        if not approximated_duration:
            if self._duration and self._duration > 0:
                # Known recomputed or target duration.
                approximated_duration = self._duration
            else:
                # It was an explicit stop.
                if not self._stop_time:
                    raise RuntimeError(u"Unable to determine duration.")
                approximated_duration = self._stop_time - self._start_time
        target_duration = self._target_duration
        if not target_duration:
            target_duration = approximated_duration
        transmit_rate = self._rate
        unsent = 0
        if self.transaction_type == u"packet":
            partial_attempt_count = self._sent
            packet_rate = transmit_rate * self.ppta
            # We have a float. TRex way of rounding it is not obvious.
            # The biggest source of mismatch is Inter Stream Gap.
            # So the code tolerates 10 usec of missing packets.
            expected_attempt_count = (target_duration - 1e-5) * packet_rate
            expected_attempt_count = math.ceil(expected_attempt_count)
            # TRex can send more.
            expected_attempt_count = max(expected_attempt_count, self._sent)
            unsent = expected_attempt_count - self._sent
            pass_count = self._received
            loss_count = self._loss
        elif self.transaction_type == u"udp_cps":
            if not self.transaction_scale:
                raise RuntimeError(u"Add support for no-limit udp_cps.")
            partial_attempt_count = self._l7_data[u"client"][u"sent"]
            # We do not care whether TG is slow, it should have attempted all.
            expected_attempt_count = self.transaction_scale
            unsent = expected_attempt_count - partial_attempt_count
            pass_count = self._l7_data[u"client"][u"received"]
            loss_count = partial_attempt_count - pass_count
        elif self.transaction_type == u"tcp_cps":
            if not self.transaction_scale:
                raise RuntimeError(u"Add support for no-limit tcp_cps.")
            ctca = self._l7_data[u"client"][u"tcp"][u"connattempt"]
            partial_attempt_count = ctca
            # We do not care whether TG is slow, it should have attempted all.
            expected_attempt_count = self.transaction_scale
            unsent = expected_attempt_count - partial_attempt_count
            # From TCP point of view, server/connects counts full connections,
            # but we are testing NAT session so client/connects counts that
            # (half connections from TCP point of view).
            pass_count = self._l7_data[u"client"][u"tcp"][u"connects"]
            loss_count = partial_attempt_count - pass_count
        elif self.transaction_type == u"udp_pps":
            if not self.transaction_scale:
                raise RuntimeError(u"Add support for no-limit udp_pps.")
            partial_attempt_count = self._sent
            expected_attempt_count = self.transaction_scale * self.ppta
            unsent = expected_attempt_count - self._sent
            loss_count = self._loss
        elif self.transaction_type == u"tcp_pps":
            if not self.transaction_scale:
                raise RuntimeError(u"Add support for no-limit tcp_pps.")
            partial_attempt_count = self._sent
            expected_attempt_count = self.transaction_scale * self.ppta
            # One loss-like scenario happens when TRex receives all packets
            # on L2 level, but is not fast enough to process them all
            # at L7 level, which leads to retransmissions.
            # Those manifest as opackets larger than expected.
            # A simple workaround is to add absolute difference.
            # Probability of retransmissions exactly cancelling
            # packets unsent due to duration stretching is quite low.
            unsent = abs(expected_attempt_count - self._sent)
            loss_count = self._loss
        else:
            raise RuntimeError(f"Unknown parsing {self.transaction_type!r}")
        if unsent and isinstance(self._approximated_duration, float):
            # Do not report unsent for "manual".
            logger.debug(f"Unsent packets/transactions: {unsent}")
        if loss_count < 0 and not self.negative_loss:
            loss_count = 0
        measurement = MeasurementResult(
            intended_duration=target_duration,
            intended_load=transmit_rate,
            offered_count=partial_attempt_count,
            loss_count=loss_count,
            offered_duration=approximated_duration,
            duration_with_overheads=duration_with_overheads,
            intended_count=expected_attempt_count,
        )
        measurement.latency = self.get_latency_int()
        return measurement

    def measure(self, intended_duration, intended_load):
        """Run trial measurement, parse and return results.

        The intended load is for transactions. Stateles bidirectional traffic
        is understood as sequence of (asynchronous) transactions,
        two packets each.

        The result units depend on test type, generally
        the count either transactions or packets (aggregated over directions).

        Optionally, this method sleeps if measurement finished before
        the time specified as intended_duration (PLRsearch needs time for math).

        :param intended_duration: Trial duration [s].
        :param intended_load: Target rate in transactions per second.
        :type intended_duration: float
        :type intended_load: float
        :returns: Structure containing the result of the measurement.
        :rtype: MeasurementResult
        :raises RuntimeError: If TG is not set or if node is not TG
            or if subtype is not specified.
        :raises NotImplementedError: If TG is not supported.
        """
        intended_duration = float(intended_duration)
        time_start = time.monotonic()
        time_stop = time_start + intended_duration
        if self.resetter:
            self.resetter()
        result = self._send_traffic_on_tg_with_ramp_up(
            duration=intended_duration,
            rate=intended_load,
            async_call=False,
        )
        logger.debug(f"trial measurement result: {result!r}")
        # In PLRsearch, computation needs the specified time to complete.
        if self.sleep_till_duration:
            while (sleeptime := time_stop - time.monotonic()) > 0.0:
                time.sleep(sleeptime)
        return result

    def set_rate_provider_defaults(
            self,
            frame_size,
            traffic_profile,
            ppta=1,
            resetter=None,
            traffic_directions=2,
            transaction_duration=0.0,
            transaction_scale=0,
            transaction_type=u"packet",
            duration_limit=0.0,
            negative_loss=True,
            sleep_till_duration=False,
            use_latency=False,
            ramp_up_rate=None,
            ramp_up_duration=None,
            state_timeout=240.0,
        ):
        """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 GPL/traffic_profiles/trex for implemented modules.
        :param ppta: Packets per transaction, aggregated over directions.
            Needed for udp_pps which does not have a good transaction counter,
            so we need to compute expected number of packets.
            Default: 1.
        :param resetter: Callable to reset DUT state for repeated trials.
        :param traffic_directions: Traffic from packet counting point of view
            is bi- (2) or uni- (1) directional.
            Default: 2
        :param transaction_duration: Total expected time to close transaction.
        :param transaction_scale: Number of transactions to perform.
            0 (default) means unlimited.
        :param transaction_type: An identifier specifying which counters
            and formulas to use when computing attempted and failed
            transactions. Default: "packet".
        :param duration_limit: Zero or maximum limit for computed (or given)
            duration.
        :param negative_loss: If false, negative loss is reported as zero loss.
        :param sleep_till_duration: If true and measurement returned faster,
            sleep until it matches duration. Needed for PLRsearch.
        :param use_latency: Whether to measure latency during the trial.
            Default: False.
        :param ramp_up_rate: Rate to use in ramp-up trials [pps].
        :param ramp_up_duration: Duration of ramp-up trials [s].
        :param state_timeout: Time of life of DUT state [s].
        :type frame_size: str or int
        :type traffic_profile: str
        :type ppta: int
        :type resetter: Optional[Callable[[], None]]
        :type traffic_directions: int
        :type transaction_duration: float
        :type transaction_scale: int
        :type transaction_type: str
        :type duration_limit: float
        :type negative_loss: bool
        :type sleep_till_duration: bool
        :type use_latency: bool
        :type ramp_up_rate: float
        :type ramp_up_duration: float
        :type state_timeout: float
        """
        self.frame_size = frame_size
        self.traffic_profile = str(traffic_profile)
        self.resetter = resetter
        self.ppta = int(ppta)
        self.traffic_directions = int(traffic_directions)
        self.transaction_duration = float(transaction_duration)
        self.transaction_scale = int(transaction_scale)
        self.transaction_type = str(transaction_type)
        self.duration_limit = float(duration_limit)
        self.negative_loss = bool(negative_loss)
        self.sleep_till_duration = bool(sleep_till_duration)
        self.use_latency = bool(use_latency)
        self.ramp_up_rate = float(ramp_up_rate)
        self.ramp_up_duration = float(ramp_up_duration)
        self.state_timeout = float(state_timeout)


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 aggregated.
    """

    @staticmethod
    def perform_mlr_search(
        frame_size: Union[int, str],
        traffic_profile: str,
        min_load: float,
        max_load: float,
        loss_ratio: float = 0.005,
        relative_width: float = 0.005,
        initial_trial_duration: float = 1.0,
        final_trial_duration: float = 1.0,
        duration_sum: float = 21.0,
        expansion_coefficient: int = 2,
        preceding_targets: int = 2,
        search_duration_max: float = 1200.0,
        ppta: int = 1,
        resetter: Optional[Callable[[], None]] = None,
        traffic_directions: int = 2,
        transaction_duration: float = 0.0,
        transaction_scale: int = 0,
        transaction_type: str = "packet",
        use_latency: bool = False,
        ramp_up_rate: float = 0.0,
        ramp_up_duration: float = 0.0,
        state_timeout: float = 240.0,
    ) -> List[TrimmedStat]:
        """Setup initialized TG, perform optimized search, return intervals.

        If transaction_scale is nonzero, all init and non-init trial durations
        are set to 1.0 (as they do not affect the real trial duration)
        and zero intermediate phases are used.
        This way no re-measurement happens.
        Warmup has to be handled via resetter or ramp-up mechanisms.

        :param frame_size: Frame size identifier or value [B].
        :param traffic_profile: Module name as a traffic profile identifier.
            See GPL/traffic_profiles/trex for implemented modules.
        :param min_load: Minimal load in transactions per second.
        :param max_load: Maximal load in transactions per second.
        :param loss_ratio: Ratio of packets lost, for PDR [1].
        :param relative_width: Final lower bound intended load
            cannot be more distant that this multiple of upper bound [1].
        :param initial_trial_duration: Trial duration for the initial phase
            and also for the first intermediate phase [s].
        :param final_trial_duration: Trial duration for the final phase [s].
        :param duration_sum: Max sum of duration for deciding [s].
        :param expansion_coefficient: In external search multiply width by this.
        :param preceding_targets: Number of intermediate phases
            to perform before the final phase [1].
        :param search_duration_max: The search will fail itself
            when not finished before this overall time [s].
        :param ppta: Packets per transaction, aggregated over directions.
            Needed for udp_pps which does not have a good transaction counter,
            so we need to compute expected number of packets.
            Default: 1.
        :param resetter: Callable to reset DUT state for repeated trials.
        :param traffic_directions: Traffic is bi- (2) or uni- (1) directional.
            Default: 2
        :param transaction_duration: Total expected time to close transaction.
        :param transaction_scale: Number of transactions to perform.
            0 (default) means unlimited.
        :param transaction_type: An identifier specifying which counters
            and formulas to use when computing attempted and failed
            transactions. Default: "packet".
        :param use_latency: Whether to measure latency during the trial.
            Default: False.
        :param ramp_up_rate: Rate to use in ramp-up trials [pps].
        :param ramp_up_duration: Duration of ramp-up trials [s].
        :param state_timeout: Time of life of DUT state [s].
        :type frame_size: str or int
        :type traffic_profile: str
        :type min_load: float
        :type max_load: float
        :type loss_ratio: float
        :type relative_width: float
        :type initial_trial_duration: float
        :type final_trial_duration: float
        :type duration_sum: float
        :type expansion_coefficient: int
        :type preceding_targets: int
        :type search_duration_max: float
        :type ppta: int
        :type resetter: Optional[Callable[[], None]]
        :type traffic_directions: int
        :type transaction_duration: float
        :type transaction_scale: int
        :type transaction_type: str
        :type use_latency: bool
        :type ramp_up_rate: float
        :type ramp_up_duration: float
        :type state_timeout: float
        :returns: Structure containing narrowed down NDR and PDR intervals
            and their measurements.
        :rtype: List[TrimmedStat]
        :raises RuntimeError: If search duration exceeds search_duration_max
            or if min load becomes an upper bound for any search goal.
        """
        # we need instance of TrafficGenerator instantiated by Robot Framework
        # to be able to use trex_stl-*()
        tg_instance = BuiltIn().get_library_instance(
            u"resources.libraries.python.TrafficGenerator"
        )
        # Overrides for fixed transaction amount.
        if transaction_scale:
            initial_trial_duration = 1.0
            final_trial_duration = 1.0
            preceding_targets = 1
            # TODO: Move the value to Constants.py?
            search_duration_max += transaction_scale * 3e-4
        tg_instance.set_rate_provider_defaults(
            frame_size=frame_size,
            traffic_profile=traffic_profile,
            sleep_till_duration=False,
            ppta=ppta,
            resetter=resetter,
            traffic_directions=traffic_directions,
            transaction_duration=transaction_duration,
            transaction_scale=transaction_scale,
            transaction_type=transaction_type,
            use_latency=use_latency,
            ramp_up_rate=ramp_up_rate,
            ramp_up_duration=ramp_up_duration,
            state_timeout=state_timeout,
        )
        if loss_ratio:
            loss_ratios = [0.0, loss_ratio]
            exceed_ratio = 0.5
        else:
            # Happens in reconf tests.
            loss_ratios = [0.0]
            exceed_ratio = 0.0
        goals = [
            SearchGoal(
                loss_ratio=loss_ratio,
                exceed_ratio=exceed_ratio,
                relative_width=relative_width,
                initial_trial_duration=initial_trial_duration,
                final_trial_duration=final_trial_duration,
                duration_sum=duration_sum,
                preceding_targets=preceding_targets,
                expansion_coefficient=expansion_coefficient,
                fail_fast=True,
            )
            for loss_ratio in loss_ratios
        ]
        config = Config()
        config.goals = goals
        config.min_load = min_load
        config.max_load = max_load
        config.search_duration_max = search_duration_max
        config.warmup_duration = 1.0
        algorithm = MultipleLossRatioSearch(config)
        results = algorithm.search(measurer=tg_instance, debug=logger.debug)
        return [results[goal] for goal in goals]

    @staticmethod
    def perform_soak_search(
            frame_size,
            traffic_profile,
            min_load,
            max_load,
            plr_target=1e-7,
            tdpt=0.1,
            initial_count=50,
            timeout=7200.0,
            ppta=1,
            resetter=None,
            trace_enabled=False,
            traffic_directions=2,
            transaction_duration=0.0,
            transaction_scale=0,
            transaction_type=u"packet",
            use_latency=False,
            ramp_up_rate=None,
            ramp_up_duration=None,
            state_timeout=240.0,
    ):
        """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 GPL/traffic_profiles/trex for implemented modules.
        :param min_load: Minimal load in transactions per second.
        :param max_load: Maximal load in transactions per second.
        :param plr_target: Ratio of packets lost to achieve [1].
        :param tdpt: Trial duration per trial.
            The algorithm linearly increases trial duration with trial number,
            this is the increment between succesive trials, in seconds.
        :param initial_count: Offset to apply before the first trial.
            For example initial_count=50 makes first trial to be 51*tdpt long.
            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 ppta: Packets per transaction, aggregated over directions.
            Needed for udp_pps which does not have a good transaction counter,
            so we need to compute expected number of packets.
            Default: 1.
        :param resetter: Callable to reset DUT state for repeated trials.
        :param trace_enabled: True if trace enabled else False.
            This is very verbose tracing on numeric computations,
            do not use in production.
            Default: False
        :param traffic_directions: Traffic is bi- (2) or uni- (1) directional.
            Default: 2
        :param transaction_duration: Total expected time to close transaction.
        :param transaction_scale: Number of transactions to perform.
            0 (default) means unlimited.
        :param transaction_type: An identifier specifying which counters
            and formulas to use when computing attempted and failed
            transactions. Default: "packet".
        :param use_latency: Whether to measure latency during the trial.
            Default: False.
        :param ramp_up_rate: Rate to use in ramp-up trials [pps].
        :param ramp_up_duration: Duration of ramp-up trials [s].
        :param state_timeout: Time of life of DUT state [s].
        :type frame_size: str or int
        :type traffic_profile: str
        :type min_load: float
        :type max_load: float
        :type plr_target: float
        :type initial_count: int
        :type timeout: float
        :type ppta: int
        :type resetter: Optional[Callable[[], None]]
        :type trace_enabled: bool
        :type traffic_directions: int
        :type transaction_duration: float
        :type transaction_scale: int
        :type transaction_type: str
        :type use_latency: bool
        :type ramp_up_rate: float
        :type ramp_up_duration: float
        :type state_timeout: float
        :returns: Average and stdev of estimated aggregated rate giving PLR.
        :rtype: 2-tuple of float
        """
        tg_instance = BuiltIn().get_library_instance(
            u"resources.libraries.python.TrafficGenerator"
        )
        # Overrides for fixed transaction amount.
        if transaction_scale:
            timeout = 7200.0
        tg_instance.set_rate_provider_defaults(
            frame_size=frame_size,
            traffic_profile=traffic_profile,
            negative_loss=False,
            sleep_till_duration=True,
            ppta=ppta,
            resetter=resetter,
            traffic_directions=traffic_directions,
            transaction_duration=transaction_duration,
            transaction_scale=transaction_scale,
            transaction_type=transaction_type,
            use_latency=use_latency,
            ramp_up_rate=ramp_up_rate,
            ramp_up_duration=ramp_up_duration,
            state_timeout=state_timeout,
        )
        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,
        )
        result = algorithm.search(
            min_rate=min_load,
            max_rate=max_load,
        )
        return result