summaryrefslogtreecommitdiffstats
path: root/nfvbench/summarizer.py
blob: 0759933100b54a77d6b09462a38fa078650fc627 (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
#!/usr/bin/env python
# Copyright 2016 Cisco Systems, Inc.  All rights reserved.
#
#    Licensed under the Apache License, Version 2.0 (the "License"); you may
#    not use this file except in compliance with the License. You may obtain
#    a copy of the License at
#
#         http://www.apache.org/licenses/LICENSE-2.0
#
#    Unless required by applicable law or agreed to in writing, software
#    distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
#    WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
#    License for the specific language governing permissions and limitations
#    under the License.
#

from contextlib import contextmanager
from datetime import datetime
import math

import bitmath
import pytz
from tabulate import tabulate

def _annotate_chain_stats(chain_stats, nodrop_marker='=>'):
    """Transform a plain chain stats into an annotated one.

    Example:
    {
         0: {'packets': [2000054, 1999996, 1999996, 1999996],
             'lat_min_usec': 10,
             'lat_max_usec': 187,
             'lat_avg_usec': 45},
         1: {...},
         'total': {...}
    }
    should become:
    {
         0: {'packets': [2000054, -58 (-0.034%), '=>', 1999996],
             'lat_min_usec': 10,
             'lat_max_usec': 187,
             'lat_avg_usec': 45},
         1: {...},
         'total': {...}
    }

    In the case of shared net, some columns in packets array can have ''.
    Some columns cab also be None which means the data is not available.
    """
    for stats in list(chain_stats.values()):
        packets = stats['packets']
        count = len(packets)
        if count > 1:
            # keep the first counter
            annotated_packets = [packets[0]]
            # modify all remaining counters
            prev_count = packets[0]
            for index in range(1, count):
                cur_count = packets[index]
                if cur_count == '':
                    # an empty string indicates an unknown counter for a shared interface
                    # do not annotate those
                    annotated_value = ''
                elif cur_count is None:
                    # Not available
                    annotated_value = 'n/a'
                else:
                    drop = cur_count - prev_count
                    if drop:
                        dr = (drop * 100.0) / prev_count if prev_count else 0
                        annotated_value = '{:+,} ({:+.4f}%)'.format(drop, dr)
                    else:
                        # no drop
                        # if last column we display the value
                        annotated_value = cur_count if index == count - 1 else nodrop_marker
                    prev_count = cur_count
                annotated_packets.append(annotated_value)

            stats['packets'] = annotated_packets

class Formatter(object):
    """Collection of string formatter methods."""

    @staticmethod
    def fixed(data):
        return data

    @staticmethod
    def int(data):
        return '{:,}'.format(data)

    @staticmethod
    def float(decimal):
        return lambda data: '%.{}f'.format(decimal) % (data)

    @staticmethod
    def standard(data):
        if isinstance(data, int):
            return Formatter.int(data)
        if isinstance(data, float):
            return Formatter.float(4)(data)
        return Formatter.fixed(data)

    @staticmethod
    def suffix(suffix_str):
        return lambda data: Formatter.standard(data) + suffix_str

    @staticmethod
    def bits(data):
        # By default, `best_prefix` returns a value in byte format, this hack (multiply by 8.0)
        # will convert it into bit format.
        bit = 8.0 * bitmath.Bit(float(data))
        bit = bit.best_prefix(bitmath.SI)
        byte_to_bit_classes = {
            'kB': bitmath.kb,
            'MB': bitmath.Mb,
            'GB': bitmath.Gb,
            'TB': bitmath.Tb,
            'PB': bitmath.Pb,
            'EB': bitmath.Eb,
            'ZB': bitmath.Zb,
            'YB': bitmath.Yb,
        }
        bps = byte_to_bit_classes.get(bit.unit, bitmath.Bit).from_other(bit) / 8.0
        if bps.unit != 'Bit':
            return bps.format("{value:.4f} {unit}ps")
        return bps.format("{value:.4f} bps")

    @staticmethod
    def percentage(data):
        if data is None:
            return ''
        if math.isnan(data):
            return '-'
        return Formatter.suffix('%')(Formatter.float(4)(data))


class Table(object):
    """ASCII readable table class."""

    def __init__(self, header):
        header_row, self.formatters = list(zip(*header))
        self.data = [header_row]
        self.columns = len(header_row)

    def add_row(self, row):
        assert self.columns == len(row)
        formatted_row = []
        for entry, formatter in zip(row, self.formatters):
            formatted_row.append(formatter(entry))
        self.data.append(formatted_row)

    def get_string(self, indent=0):
        spaces = ' ' * indent
        table = tabulate(self.data,
                         headers='firstrow',
                         tablefmt='grid',
                         stralign='center',
                         floatfmt='.2f')
        return table.replace('\n', '\n' + spaces)


class Summarizer(object):
    """Generic summarizer class."""

    indent_per_level = 2

    def __init__(self):
        self.indent_size = 0
        self.marker_stack = [False]
        self.str = ''

    def __indent(self, marker):
        self.indent_size += self.indent_per_level
        self.marker_stack.append(marker)

    def __unindent(self):
        assert self.indent_size >= self.indent_per_level
        self.indent_size -= self.indent_per_level
        self.marker_stack.pop()

    def __get_indent_string(self):
        current_str = ' ' * self.indent_size
        if self.marker_stack[-1]:
            current_str = current_str[:-2] + '> '
        return current_str

    def _put(self, *args):
        self.str += self.__get_indent_string()
        if args and isinstance(args[-1], dict):
            self.str += ' '.join(map(str, args[:-1])) + '\n'
            self._put_dict(args[-1])
        else:
            self.str += ' '.join(map(str, args)) + '\n'

    def _put_dict(self, data):
        with self._create_block(False):
            for key, value in list(data.items()):
                if isinstance(value, dict):
                    self._put(key + ':')
                    self._put_dict(value)
                else:
                    self._put(key + ':', value)

    def _put_table(self, table):
        self.str += self.__get_indent_string()
        self.str += table.get_string(self.indent_size) + '\n'

    def __str__(self):
        return self.str

    @contextmanager
    def _create_block(self, marker=True):
        self.__indent(marker)
        yield
        self.__unindent()


class NFVBenchSummarizer(Summarizer):
    """Summarize nfvbench json result."""

    ndr_pdr_header = [
        ('-', Formatter.fixed),
        ('L2 Frame Size', Formatter.standard),
        ('Rate (fwd+rev)', Formatter.bits),
        ('Rate (fwd+rev)', Formatter.suffix(' pps')),
        ('Avg Drop Rate', Formatter.suffix('%')),
        ('Avg Latency (usec)', Formatter.standard),
        ('Min Latency (usec)', Formatter.standard),
        ('Max Latency (usec)', Formatter.standard)
    ]

    single_run_header = [
        ('L2 Frame Size', Formatter.standard),
        ('Drop Rate', Formatter.suffix('%')),
        ('Avg Latency (usec)', Formatter.standard),
        ('Min Latency (usec)', Formatter.standard),
        ('Max Latency (usec)', Formatter.standard)
    ]

    config_header = [
        ('Direction', Formatter.standard),
        ('Requested TX Rate (bps)', Formatter.bits),
        ('Actual TX Rate (bps)', Formatter.bits),
        ('RX Rate (bps)', Formatter.bits),
        ('Requested TX Rate (pps)', Formatter.suffix(' pps')),
        ('Actual TX Rate (pps)', Formatter.suffix(' pps')),
        ('RX Rate (pps)', Formatter.suffix(' pps'))
    ]

    direction_keys = ['direction-forward', 'direction-reverse', 'direction-total']
    direction_names = ['Forward', 'Reverse', 'Total']

    def __init__(self, result, sender):
        """Create a summarizer instance."""
        Summarizer.__init__(self)
        self.result = result
        self.config = self.result['config']
        self.record_header = None
        self.record_data = None
        self.sender = sender

        # add percentiles headers if hdrh enabled
        if not self.config.disable_hdrh:
            for percentile in self.config.lat_percentiles:
                # 'append' expects a single parameter => double parentheses
                self.ndr_pdr_header.append((str(percentile) + ' %ile lat.', Formatter.standard))
                self.single_run_header.append((str(percentile) + ' %ile lat.', Formatter.standard))
        # if sender is available initialize record
        if self.sender:
            self.__record_init()
        self.__summarize()

    def __get_openstack_spec(self, property):
        try:
            return self.result['openstack_spec'][property]
        except KeyError:
            return ''

    def __summarize(self):
        self._put()
        self._put('========== NFVBench Summary ==========')
        self._put('Date:', self.result['date'])
        self._put('NFVBench version', self.result['nfvbench_version'])
        self._put('Openstack Neutron:', {
            'vSwitch': self.__get_openstack_spec('vswitch'),
            'Encapsulation': self.__get_openstack_spec('encaps')
        })
        self.__record_header_put('version', self.result['nfvbench_version'])
        self.__record_header_put('vSwitch', self.__get_openstack_spec('vswitch'))
        self.__record_header_put('Encapsulation', self.__get_openstack_spec('encaps'))
        self._put('Benchmarks:')
        with self._create_block():
            self._put('Networks:')
            with self._create_block():
                network_benchmark = self.result['benchmarks']['network']

                self._put('Components:')
                with self._create_block():
                    self._put('Traffic Generator:')
                    with self._create_block(False):
                        self._put('Profile:', self.config['tg-name'])
                        self._put('Tool:', self.config['tg-tool'])
                    if network_benchmark['versions']:
                        self._put('Versions:')
                        with self._create_block():
                            for component, version in list(network_benchmark['versions'].items()):
                                self._put(component + ':', version)

                if self.config['ndr_run'] or self.config['pdr_run']:
                    self._put('Measurement Parameters:')
                    with self._create_block(False):
                        if self.config['ndr_run']:
                            self._put('NDR:', self.config['measurement']['NDR'])
                        if self.config['pdr_run']:
                            self._put('PDR:', self.config['measurement']['PDR'])
                self._put('Service chain:')
                for result in list(network_benchmark['service_chain'].items()):
                    with self._create_block():
                        self.__chain_summarize(*result)

    def __chain_summarize(self, chain_name, chain_benchmark):
        self._put(chain_name + ':')
        self.__record_header_put('service_chain', chain_name)
        with self._create_block():
            self._put('Traffic:')
            with self._create_block(False):
                self.__traffic_summarize(chain_benchmark['result'])

    def __traffic_summarize(self, traffic_benchmark):
        self._put('Profile:', traffic_benchmark['profile'])
        self._put('Bidirectional:', traffic_benchmark['bidirectional'])
        self._put('Flow count:', traffic_benchmark['flow_count'])
        self._put('Service chains count:', traffic_benchmark['service_chain_count'])
        self._put('Compute nodes:', list(traffic_benchmark['compute_nodes'].keys()))

        self.__record_header_put('profile', traffic_benchmark['profile'])
        self.__record_header_put('bidirectional', traffic_benchmark['bidirectional'])
        self.__record_header_put('flow_count', traffic_benchmark['flow_count'])
        self.__record_header_put('sc_count', traffic_benchmark['service_chain_count'])
        self.__record_header_put('compute_nodes', list(traffic_benchmark['compute_nodes'].keys()))
        with self._create_block(False):
            self._put()
            if not self.config['no_traffic']:
                self._put('Run Summary:')
                self._put()
                with self._create_block(False):
                    self._put_table(self.__get_summary_table(traffic_benchmark['result']))
                    try:
                        self._put()
                        self._put(traffic_benchmark['result']['warning'])
                    except KeyError:
                        pass

            for entry in list(traffic_benchmark['result'].items()):
                if 'warning' in entry:
                    continue
                self.__chain_analysis_summarize(*entry)
            self.__record_send()

    def __chain_analysis_summarize(self, frame_size, analysis):
        self._put()
        self._put('L2 frame size:', frame_size)
        if self.config['ndr_run']:
            self._put('NDR search duration:', Formatter.float(0)(analysis['ndr']['time_taken_sec']),
                      'seconds')
            self.__record_data_put(frame_size, {'ndr_search_duration': Formatter.float(0)(
                analysis['ndr']['time_taken_sec'])})
        if self.config['pdr_run']:
            self._put('PDR search duration:', Formatter.float(0)(analysis['pdr']['time_taken_sec']),
                      'seconds')
            self.__record_data_put(frame_size, {'pdr_search_duration': Formatter.float(0)(
                analysis['pdr']['time_taken_sec'])})
        self._put()

        if not self.config['no_traffic'] and self.config['single_run']:
            self._put('Run Config:')
            self._put()
            with self._create_block(False):
                self._put_table(self.__get_config_table(analysis['run_config'], frame_size))
                if 'warning' in analysis['run_config'] and analysis['run_config']['warning']:
                    self._put()
                    self._put(analysis['run_config']['warning'])
                self._put()

        if 'packet_path_stats' in analysis:
            for dir in ['Forward', 'Reverse']:
                self._put(dir + ' Chain Packet Counters and Latency:')
                self._put()
                with self._create_block(False):
                    self._put_table(self._get_chain_table(analysis['packet_path_stats'][dir]))
                    self._put()

    def __get_summary_table(self, traffic_result):
        if self.config['single_run']:
            summary_table = Table(self.single_run_header)
        else:
            summary_table = Table(self.ndr_pdr_header)

        if self.config['ndr_run']:
            for frame_size, analysis in list(traffic_result.items()):
                if frame_size == 'warning':
                    continue

                row_data = [
                    'NDR',
                    frame_size,
                    analysis['ndr']['rate_bps'],
                    analysis['ndr']['rate_pps'],
                    analysis['ndr']['stats']['overall']['drop_percentage'],
                    analysis['ndr']['stats']['overall']['avg_delay_usec'],
                    analysis['ndr']['stats']['overall']['min_delay_usec'],
                    analysis['ndr']['stats']['overall']['max_delay_usec']
                ]
                if not self.config.disable_hdrh:
                    self.extract_hdrh_percentiles(
                        analysis['ndr']['stats']['overall']['lat_percentile'], row_data)
                summary_table.add_row(row_data)

                ndr_data = {
                    'type': 'NDR',
                    'rate_bps': analysis['ndr']['rate_bps'],
                    'rate_pps': analysis['ndr']['rate_pps'],
                    'offered_tx_rate_bps': analysis['ndr']['stats']['offered_tx_rate_bps'],
                    'theoretical_tx_rate_pps': analysis['ndr']['stats']['theoretical_tx_rate_pps'],
                    'theoretical_tx_rate_bps': analysis['ndr']['stats']['theoretical_tx_rate_bps'],
                    'drop_percentage': analysis['ndr']['stats']['overall']['drop_percentage'],
                    'avg_delay_usec': analysis['ndr']['stats']['overall']['avg_delay_usec'],
                    'min_delay_usec': analysis['ndr']['stats']['overall']['min_delay_usec'],
                    'max_delay_usec': analysis['ndr']['stats']['overall']['max_delay_usec']
                }
                if not self.config.disable_hdrh:
                    self.extract_hdrh_percentiles(
                        analysis['ndr']['stats']['overall']['lat_percentile'], ndr_data, True)
                self.__record_data_put(frame_size, {'ndr': ndr_data})
        if self.config['pdr_run']:
            for frame_size, analysis in list(traffic_result.items()):
                if frame_size == 'warning':
                    continue

                row_data = [
                    'PDR',
                    frame_size,
                    analysis['pdr']['rate_bps'],
                    analysis['pdr']['rate_pps'],
                    analysis['pdr']['stats']['overall']['drop_percentage'],
                    analysis['pdr']['stats']['overall']['avg_delay_usec'],
                    analysis['pdr']['stats']['overall']['min_delay_usec'],
                    analysis['pdr']['stats']['overall']['max_delay_usec']
                ]
                if not self.config.disable_hdrh:
                    self.extract_hdrh_percentiles(
                        analysis['pdr']['stats']['overall']['lat_percentile'], row_data)
                summary_table.add_row(row_data)

                pdr_data = {
                    'type': 'PDR',
                    'rate_bps': analysis['pdr']['rate_bps'],
                    'rate_pps': analysis['pdr']['rate_pps'],
                    'offered_tx_rate_bps': analysis['pdr']['stats']['offered_tx_rate_bps'],
                    'theoretical_tx_rate_pps': analysis['pdr']['stats']['theoretical_tx_rate_pps'],
                    'theoretical_tx_rate_bps': analysis['pdr']['stats']['theoretical_tx_rate_bps'],
                    'drop_percentage': analysis['pdr']['stats']['overall']['drop_percentage'],
                    'avg_delay_usec': analysis['pdr']['stats']['overall']['avg_delay_usec'],
                    'min_delay_usec': analysis['pdr']['stats']['overall']['min_delay_usec'],
                    'max_delay_usec': analysis['pdr']['stats']['overall']['max_delay_usec']
                }
                if not self.config.disable_hdrh:
                    self.extract_hdrh_percentiles(
                        analysis['pdr']['stats']['overall']['lat_percentile'], pdr_data, True)
                self.__record_data_put(frame_size, {'pdr': pdr_data})
        if self.config['single_run']:
            for frame_size, analysis in list(traffic_result.items()):
                row_data = [
                    frame_size,
                    analysis['stats']['overall']['drop_rate_percent'],
                    analysis['stats']['overall']['rx']['avg_delay_usec'],
                    analysis['stats']['overall']['rx']['min_delay_usec'],
                    analysis['stats']['overall']['rx']['max_delay_usec']
                ]
                if not self.config.disable_hdrh:
                    self.extract_hdrh_percentiles(
                        analysis['stats']['overall']['rx']['lat_percentile'], row_data)
                summary_table.add_row(row_data)

                single_run_data = {
                    'type': 'single_run',
                    'offered_tx_rate_bps': analysis['stats']['offered_tx_rate_bps'],
                    'theoretical_tx_rate_pps': analysis['stats']['theoretical_tx_rate_pps'],
                    'theoretical_tx_rate_bps': analysis['stats']['theoretical_tx_rate_bps'],
                    'drop_rate_percent': analysis['stats']['overall']['drop_rate_percent'],
                    'avg_delay_usec': analysis['stats']['overall']['rx']['avg_delay_usec'],
                    'min_delay_usec': analysis['stats']['overall']['rx']['min_delay_usec'],
                    'max_delay_usec': analysis['stats']['overall']['rx']['max_delay_usec']
                }
                if not self.config.disable_hdrh:
                    self.extract_hdrh_percentiles(
                        analysis['stats']['overall']['rx']['lat_percentile'], single_run_data, True)
                self.__record_data_put(frame_size, {'single_run': single_run_data})
        return summary_table

    def extract_hdrh_percentiles(self, lat_percentile, data, add_key=False):
        if add_key:
            data['lat_percentile'] = {}
        for percentile in self.config.lat_percentiles:
            if add_key:
                data['lat_percentile_' + str(percentile)] = lat_percentile[percentile]
            else:
                data.append(lat_percentile[percentile])

    def __get_config_table(self, run_config, frame_size):
        config_table = Table(self.config_header)
        for key, name in zip(self.direction_keys, self.direction_names):
            if key not in run_config:
                continue
            config_table.add_row([
                name,
                run_config[key]['orig']['rate_bps'],
                run_config[key]['tx']['rate_bps'],
                run_config[key]['rx']['rate_bps'],
                int(run_config[key]['orig']['rate_pps']),
                int(run_config[key]['tx']['rate_pps']),
                int(run_config[key]['rx']['rate_pps']),
            ])
            self.__record_data_put(frame_size, {
                name.lower() + "_orig_rate_bps": int(run_config[key]['orig']['rate_bps']),
                name.lower() + "_tx_rate_bps": int(run_config[key]['tx']['rate_bps']),
                name.lower() + "_rx_rate_bps": int(run_config[key]['rx']['rate_bps']),
                name.lower() + "_orig_rate_pps": int(run_config[key]['orig']['rate_pps']),
                name.lower() + "_tx_rate_pps": int(run_config[key]['tx']['rate_pps']),
                name.lower() + "_rx_rate_pps": int(run_config[key]['rx']['rate_pps']),

            })
        return config_table

    def _get_chain_table(self, chain_stats):
        """Retrieve the table for a direction.

        chain_stats: {
             'interfaces': ['Port0', 'drop %'', 'vhost0', 'Port1'],
             'chains': {
                 '0': {'packets': [2000054, '-0.023%', 1999996, 1999996],
                     'lat_min_usec': 10,
                     'lat_max_usec': 187,
                     'lat_avg_usec': 45},
                 '1': {...},
                 'total': {...}
             }
        }
        """
        chains = chain_stats['chains']
        _annotate_chain_stats(chains)
        header = [('Chain', Formatter.standard)] + \
                 [(ifname, Formatter.standard) for ifname in chain_stats['interfaces']]
        # add latency columns if available Avg, Min, Max and percentiles
        lat_keys = []
        lat_map = {'lat_avg_usec': 'Avg lat.',
                   'lat_min_usec': 'Min lat.',
                   'lat_max_usec': 'Max lat.'}
        if 'lat_avg_usec' in chains['0']:
            lat_keys = ['lat_avg_usec', 'lat_min_usec', 'lat_max_usec']

            if not self.config.disable_hdrh:
                lat_keys.append('lat_percentile')
                for percentile in self.config.lat_percentiles:
                    lat_map['lat_' + str(percentile) + '_percentile'] = \
                        str(percentile) + ' %ile lat.'

            for key in lat_map:
                # 'append' expects a single parameter => double parentheses
                header.append((lat_map[key], Formatter.standard))

        table = Table(header)
        for chain in sorted(list(chains.keys()), key=str):
            row = [chain] + chains[chain]['packets']
            for lat_key in lat_keys:

                if lat_key != 'lat_percentile':
                    if chains[chain].get(lat_key, None):
                        row.append(Formatter.standard(chains[chain][lat_key]))
                    else:
                        row.append('n/a')
                else:
                    if not self.config.disable_hdrh:
                        if chains[chain].get(lat_key, None):
                            for percentile in chains[chain][lat_key]:
                                row.append(Formatter.standard(
                                    chains[chain][lat_key][percentile]))
                        else:
                            for percentile in self.config.lat_percentiles:
                                row.append('n/a')
            table.add_row(row)
        return table

    def __record_header_put(self, key, value):
        if self.sender:
            self.record_header[key] = value

    def __record_data_put(self, key, data):
        if self.sender:
            if key not in self.record_data:
                self.record_data[key] = {}
            self.record_data[key].update(data)

    def __record_send(self):
        if self.sender:
            self.record_header["@timestamp"] = datetime.utcnow().replace(
                tzinfo=pytz.utc).strftime("%Y-%m-%dT%H:%M:%S.%f%z")
            for frame_size in self.record_data:
                data = self.record_header
                data['frame_size'] = frame_size
                data.update(self.record_data[frame_size])
                run_specific_data = {}
                if 'single_run' in data:
                    run_specific_data['single_run'] = data['single_run']
                    del data['single_run']
                if 'ndr' in data:
                    run_specific_data['ndr'] = data['ndr']
                    run_specific_data['ndr']['drop_limit'] = self.config['measurement']['NDR']
                    del data['ndr']
                if 'pdr' in data:
                    run_specific_data['pdr'] = data['pdr']
                    run_specific_data['pdr']['drop_limit'] = self.config['measurement']['PDR']
                    del data['pdr']
                for key in run_specific_data:
                    data_to_send = data.copy()
                    data_to_send.update(run_specific_data[key])
                    self.sender.record_send(data_to_send)
            self.__record_init()

    def __record_init(self):
        # init is called after checking for sender
        self.record_header = {
            "runlogdate": self.sender.runlogdate,
            "user_label": self.config['user_label']
        }
        self.record_data = {}