resources/tools/presentation/generator_tables.py

   1 # Copyright (c) 2019 Cisco and/or its affiliates.
   2 # Licensed under the Apache License, Version 2.0 (the "License");
   3 # you may not use this file except in compliance with the License.
   4 # You may obtain a copy of the License at:
   5 #
   6 #     http://www.apache.org/licenses/LICENSE-2.0
   7 #
   8 # Unless required by applicable law or agreed to in writing, software
   9 # distributed under the License is distributed on an "AS IS" BASIS,
  10 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  11 # See the License for the specific language governing permissions and
  12 # limitations under the License.
  13
  14 """Algorithms to generate tables.
  15 """
  16
  17
  18 import logging
  19 import csv
  20 import re
  21
  22 from string import replace
  23 from collections import OrderedDict
  24 from numpy import nan, isnan
  25 from xml.etree import ElementTree as ET
  26 from datetime import datetime as dt
  27 from datetime import timedelta
  28
  29 from utils import mean, stdev, relative_change, classify_anomalies, \
  30     convert_csv_to_pretty_txt, relative_change_stdev
  31
  32
  33 REGEX_NIC = re.compile(r'\d*ge\dp\d\D*\d*')
  34
  35
  36 def generate_tables(spec, data):
  37     """Generate all tables specified in the specification file.
  38
  39     :param spec: Specification read from the specification file.
  40     :param data: Data to process.
  41     :type spec: Specification
  42     :type data: InputData
  43     """
  44
  45     logging.info("Generating the tables ...")
  46     for table in spec.tables:
  47         try:
  48             eval(table["algorithm"])(table, data)
  49         except NameError as err:
  50             logging.error("Probably algorithm '{alg}' is not defined: {err}".
  51                           format(alg=table["algorithm"], err=repr(err)))
  52     logging.info("Done.")
  53
  54
  55 def table_details(table, input_data):
  56     """Generate the table(s) with algorithm: table_detailed_test_results
  57     specified in the specification file.
  58
  59     :param table: Table to generate.
  60     :param input_data: Data to process.
  61     :type table: pandas.Series
  62     :type input_data: InputData
  63     """
  64
  65     logging.info("  Generating the table {0} ...".
  66                  format(table.get("title", "")))
  67
  68     # Transform the data
  69     logging.info("    Creating the data set for the {0} '{1}'.".
  70                  format(table.get("type", ""), table.get("title", "")))
  71     data = input_data.filter_data(table)
  72
  73     # Prepare the header of the tables
  74     header = list()
  75     for column in table["columns"]:
  76         header.append('"{0}"'.format(str(column["title"]).replace('"', '""')))
  77
  78     # Generate the data for the table according to the model in the table
  79     # specification
  80     job = table["data"].keys()[0]
  81     build = str(table["data"][job][0])
  82     try:
  83         suites = input_data.suites(job, build)
  84     except KeyError:
  85         logging.error("    No data available. The table will not be generated.")
  86         return
  87
  88     for suite_longname, suite in suites.iteritems():
  89         # Generate data
  90         suite_name = suite["name"]
  91         table_lst = list()
  92         for test in data[job][build].keys():
  93             if data[job][build][test]["parent"] in suite_name:
  94                 row_lst = list()
  95                 for column in table["columns"]:
  96                     try:
  97                         col_data = str(data[job][build][test][column["data"].
  98                                        split(" ")[1]]).replace('"', '""')
  99                         if column["data"].split(" ")[1] in ("conf-history",
 100                                                             "show-run"):
 101                             col_data = replace(col_data, " |br| ", "",
 102                                                maxreplace=1)
 103                             col_data = " |prein| {0} |preout| ".\
 104                                 format(col_data[:-5])
 105                         row_lst.append('"{0}"'.format(col_data))
 106                     except KeyError:
 107                         row_lst.append("No data")
 108                 table_lst.append(row_lst)
 109
 110         # Write the data to file
 111         if table_lst:
 112             file_name = "{0}_{1}{2}".format(table["output-file"], suite_name,
 113                                             table["output-file-ext"])
 114             logging.info("      Writing file: '{}'".format(file_name))
 115             with open(file_name, "w") as file_handler:
 116                 file_handler.write(",".join(header) + "\n")
 117                 for item in table_lst:
 118                     file_handler.write(",".join(item) + "\n")
 119
 120     logging.info("  Done.")
 121
 122
 123 def table_merged_details(table, input_data):
 124     """Generate the table(s) with algorithm: table_merged_details
 125     specified in the specification file.
 126
 127     :param table: Table to generate.
 128     :param input_data: Data to process.
 129     :type table: pandas.Series
 130     :type input_data: InputData
 131     """
 132
 133     logging.info("  Generating the table {0} ...".
 134                  format(table.get("title", "")))
 135
 136     # Transform the data
 137     logging.info("    Creating the data set for the {0} '{1}'.".
 138                  format(table.get("type", ""), table.get("title", "")))
 139     data = input_data.filter_data(table)
 140     data = input_data.merge_data(data)
 141     data.sort_index(inplace=True)
 142
 143     logging.info("    Creating the data set for the {0} '{1}'.".
 144                  format(table.get("type", ""), table.get("title", "")))
 145     suites = input_data.filter_data(table, data_set="suites")
 146     suites = input_data.merge_data(suites)
 147
 148     # Prepare the header of the tables
 149     header = list()
 150     for column in table["columns"]:
 151         header.append('"{0}"'.format(str(column["title"]).replace('"', '""')))
 152
 153     for _, suite in suites.iteritems():
 154         # Generate data
 155         suite_name = suite["name"]
 156         table_lst = list()
 157         for test in data.keys():
 158             if data[test]["parent"] in suite_name:
 159                 row_lst = list()
 160                 for column in table["columns"]:
 161                     try:
 162                         col_data = str(data[test][column["data"].
 163                                        split(" ")[1]]).replace('"', '""')
 164                         col_data = replace(col_data, "No Data",
 165                                            "Not Captured     ")
 166                         if column["data"].split(" ")[1] in ("conf-history",
 167                                                             "show-run"):
 168                             col_data = replace(col_data, " |br| ", "",
 169                                                maxreplace=1)
 170                             col_data = " |prein| {0} |preout| ".\
 171                                 format(col_data[:-5])
 172                         row_lst.append('"{0}"'.format(col_data))
 173                     except KeyError:
 174                         row_lst.append('"Not captured"')
 175                 table_lst.append(row_lst)
 176
 177         # Write the data to file
 178         if table_lst:
 179             file_name = "{0}_{1}{2}".format(table["output-file"], suite_name,
 180                                             table["output-file-ext"])
 181             logging.info("      Writing file: '{}'".format(file_name))
 182             with open(file_name, "w") as file_handler:
 183                 file_handler.write(",".join(header) + "\n")
 184                 for item in table_lst:
 185                     file_handler.write(",".join(item) + "\n")
 186
 187     logging.info("  Done.")
 188
 189
 190 def table_performance_comparison(table, input_data):
 191     """Generate the table(s) with algorithm: table_performance_comparison
 192     specified in the specification file.
 193
 194     :param table: Table to generate.
 195     :param input_data: Data to process.
 196     :type table: pandas.Series
 197     :type input_data: InputData
 198     """
 199
 200     logging.info("  Generating the table {0} ...".
 201                  format(table.get("title", "")))
 202
 203     # Transform the data
 204     logging.info("    Creating the data set for the {0} '{1}'.".
 205                  format(table.get("type", ""), table.get("title", "")))
 206     data = input_data.filter_data(table, continue_on_error=True)
 207
 208     # Prepare the header of the tables
 209     try:
 210         header = ["Test case", ]
 211
 212         if table["include-tests"] == "MRR":
 213             hdr_param = "Receive Rate"
 214         else:
 215             hdr_param = "Throughput"
 216
 217         history = table.get("history", None)
 218         if history:
 219             for item in history:
 220                 header.extend(
 221                     ["{0} {1} [Mpps]".format(item["title"], hdr_param),
 222                      "{0} Stdev [Mpps]".format(item["title"])])
 223         header.extend(
 224             ["{0} {1} [Mpps]".format(table["reference"]["title"], hdr_param),
 225              "{0} Stdev [Mpps]".format(table["reference"]["title"]),
 226              "{0} {1} [Mpps]".format(table["compare"]["title"], hdr_param),
 227              "{0} Stdev [Mpps]".format(table["compare"]["title"]),
 228              "Delta [%]"])
 229         header_str = ",".join(header) + "\n"
 230     except (AttributeError, KeyError) as err:
 231         logging.error("The model is invalid, missing parameter: {0}".
 232                       format(err))
 233         return
 234
 235     # Prepare data to the table:
 236     tbl_dict = dict()
 237     for job, builds in table["reference"]["data"].items():
 238         for build in builds:
 239             for tst_name, tst_data in data[job][str(build)].iteritems():
 240                 tst_name_mod = tst_name.replace("-ndrpdrdisc", "").\
 241                     replace("-ndrpdr", "").replace("-pdrdisc", "").\
 242                     replace("-ndrdisc", "").replace("-pdr", "").\
 243                     replace("-ndr", "").\
 244                     replace("1t1c", "1c").replace("2t1c", "1c").\
 245                     replace("2t2c", "2c").replace("4t2c", "2c").\
 246                     replace("4t4c", "4c").replace("8t4c", "4c")
 247                 if "across topologies" in table["title"].lower():
 248                     tst_name_mod = tst_name_mod.replace("2n1l-", "")
 249                 if tbl_dict.get(tst_name_mod, None) is None:
 250                     groups = re.search(REGEX_NIC, tst_data["parent"])
 251                     nic = groups.group(0) if groups else ""
 252                     name = "{0}-{1}".format(nic, "-".join(tst_data["name"].
 253                                                           split("-")[:-1]))
 254                     if "across testbeds" in table["title"].lower() or \
 255                             "across topologies" in table["title"].lower():
 256                         name = name.\
 257                             replace("1t1c", "1c").replace("2t1c", "1c").\
 258                             replace("2t2c", "2c").replace("4t2c", "2c").\
 259                             replace("4t4c", "4c").replace("8t4c", "4c")
 260                     tbl_dict[tst_name_mod] = {"name": name,
 261                                               "ref-data": list(),
 262                                               "cmp-data": list()}
 263                 try:
 264                     # TODO: Re-work when NDRPDRDISC tests are not used
 265                     if table["include-tests"] == "MRR":
 266                         tbl_dict[tst_name_mod]["ref-data"]. \
 267                             append(tst_data["result"]["receive-rate"].avg)
 268                     elif table["include-tests"] == "PDR":
 269                         if tst_data["type"] == "PDR":
 270                             tbl_dict[tst_name_mod]["ref-data"]. \
 271                                 append(tst_data["throughput"]["value"])
 272                         elif tst_data["type"] == "NDRPDR":
 273                             tbl_dict[tst_name_mod]["ref-data"].append(
 274                                 tst_data["throughput"]["PDR"]["LOWER"])
 275                     elif table["include-tests"] == "NDR":
 276                         if tst_data["type"] == "NDR":
 277                             tbl_dict[tst_name_mod]["ref-data"]. \
 278                                 append(tst_data["throughput"]["value"])
 279                         elif tst_data["type"] == "NDRPDR":
 280                             tbl_dict[tst_name_mod]["ref-data"].append(
 281                                 tst_data["throughput"]["NDR"]["LOWER"])
 282                     else:
 283                         continue
 284                 except TypeError:
 285                     pass  # No data in output.xml for this test
 286
 287     for job, builds in table["compare"]["data"].items():
 288         for build in builds:
 289             for tst_name, tst_data in data[job][str(build)].iteritems():
 290                 tst_name_mod = tst_name.replace("-ndrpdrdisc", ""). \
 291                     replace("-ndrpdr", "").replace("-pdrdisc", ""). \
 292                     replace("-ndrdisc", "").replace("-pdr", ""). \
 293                     replace("-ndr", "").\
 294                     replace("1t1c", "1c").replace("2t1c", "1c").\
 295                     replace("2t2c", "2c").replace("4t2c", "2c").\
 296                     replace("4t4c", "4c").replace("8t4c", "4c")
 297                 if "across topologies" in table["title"].lower():
 298                     tst_name_mod = tst_name_mod.replace("2n1l-", "")
 299                 try:
 300                     # TODO: Re-work when NDRPDRDISC tests are not used
 301                     if table["include-tests"] == "MRR":
 302                         tbl_dict[tst_name_mod]["cmp-data"]. \
 303                             append(tst_data["result"]["receive-rate"].avg)
 304                     elif table["include-tests"] == "PDR":
 305                         if tst_data["type"] == "PDR":
 306                             tbl_dict[tst_name_mod]["cmp-data"]. \
 307                                 append(tst_data["throughput"]["value"])
 308                         elif tst_data["type"] == "NDRPDR":
 309                             tbl_dict[tst_name_mod]["cmp-data"].append(
 310                                 tst_data["throughput"]["PDR"]["LOWER"])
 311                     elif table["include-tests"] == "NDR":
 312                         if tst_data["type"] == "NDR":
 313                             tbl_dict[tst_name_mod]["cmp-data"]. \
 314                                 append(tst_data["throughput"]["value"])
 315                         elif tst_data["type"] == "NDRPDR":
 316                             tbl_dict[tst_name_mod]["cmp-data"].append(
 317                                 tst_data["throughput"]["NDR"]["LOWER"])
 318                     else:
 319                         continue
 320                 except KeyError:
 321                     pass
 322                 except TypeError:
 323                     tbl_dict.pop(tst_name_mod, None)
 324     if history:
 325         for item in history:
 326             for job, builds in item["data"].items():
 327                 for build in builds:
 328                     for tst_name, tst_data in data[job][str(build)].iteritems():
 329                         tst_name_mod = tst_name.replace("-ndrpdrdisc", ""). \
 330                             replace("-ndrpdr", "").replace("-pdrdisc", ""). \
 331                             replace("-ndrdisc", "").replace("-pdr", ""). \
 332                             replace("-ndr", "").\
 333                             replace("1t1c", "1c").replace("2t1c", "1c").\
 334                             replace("2t2c", "2c").replace("4t2c", "2c").\
 335                             replace("4t4c", "4c").replace("8t4c", "4c")
 336                         if "across topologies" in table["title"].lower():
 337                             tst_name_mod = tst_name_mod.replace("2n1l-", "")
 338                         if tbl_dict.get(tst_name_mod, None) is None:
 339                             continue
 340                         if tbl_dict[tst_name_mod].get("history", None) is None:
 341                             tbl_dict[tst_name_mod]["history"] = OrderedDict()
 342                         if tbl_dict[tst_name_mod]["history"].get(item["title"],
 343                                                              None) is None:
 344                             tbl_dict[tst_name_mod]["history"][item["title"]] = \
 345                                 list()
 346                         try:
 347                             # TODO: Re-work when NDRPDRDISC tests are not used
 348                             if table["include-tests"] == "MRR":
 349                                 tbl_dict[tst_name_mod]["history"][item["title"
 350                                 ]].append(tst_data["result"]["receive-rate"].
 351                                           avg)
 352                             elif table["include-tests"] == "PDR":
 353                                 if tst_data["type"] == "PDR":
 354                                     tbl_dict[tst_name_mod]["history"][
 355                                         item["title"]].\
 356                                         append(tst_data["throughput"]["value"])
 357                                 elif tst_data["type"] == "NDRPDR":
 358                                     tbl_dict[tst_name_mod]["history"][item[
 359                                         "title"]].append(tst_data["throughput"][
 360                                         "PDR"]["LOWER"])
 361                             elif table["include-tests"] == "NDR":
 362                                 if tst_data["type"] == "NDR":
 363                                     tbl_dict[tst_name_mod]["history"][
 364                                         item["title"]].\
 365                                         append(tst_data["throughput"]["value"])
 366                                 elif tst_data["type"] == "NDRPDR":
 367                                     tbl_dict[tst_name_mod]["history"][item[
 368                                         "title"]].append(tst_data["throughput"][
 369                                         "NDR"]["LOWER"])
 370                             else:
 371                                 continue
 372                         except (TypeError, KeyError):
 373                             pass
 374
 375     tbl_lst = list()
 376     for tst_name in tbl_dict.keys():
 377         item = [tbl_dict[tst_name]["name"], ]
 378         if history:
 379             if tbl_dict[tst_name].get("history", None) is not None:
 380                 for hist_data in tbl_dict[tst_name]["history"].values():
 381                     if hist_data:
 382                         item.append(round(mean(hist_data) / 1000000, 2))
 383                         item.append(round(stdev(hist_data) / 1000000, 2))
 384                     else:
 385                         item.extend([None, None])
 386             else:
 387                 item.extend([None, None])
 388         data_t = tbl_dict[tst_name]["ref-data"]
 389         if data_t:
 390             item.append(round(mean(data_t) / 1000000, 2))
 391             item.append(round(stdev(data_t) / 1000000, 2))
 392         else:
 393             item.extend([None, None])
 394         data_t = tbl_dict[tst_name]["cmp-data"]
 395         if data_t:
 396             item.append(round(mean(data_t) / 1000000, 2))
 397             item.append(round(stdev(data_t) / 1000000, 2))
 398         else:
 399             item.extend([None, None])
 400         if item[-4] is not None and item[-2] is not None and item[-4] != 0:
 401             item.append(int(relative_change(float(item[-4]), float(item[-2]))))
 402         if len(item) == len(header):
 403             tbl_lst.append(item)
 404
 405     # Sort the table according to the relative change
 406     tbl_lst.sort(key=lambda rel: rel[-1], reverse=True)
 407
 408     # Generate csv tables:
 409     csv_file = "{0}.csv".format(table["output-file"])
 410     with open(csv_file, "w") as file_handler:
 411         file_handler.write(header_str)
 412         for test in tbl_lst:
 413             file_handler.write(",".join([str(item) for item in test]) + "\n")
 414
 415     convert_csv_to_pretty_txt(csv_file, "{0}.txt".format(table["output-file"]))
 416
 417
 418 def table_performance_comparison_nic(table, input_data):
 419     """Generate the table(s) with algorithm: table_performance_comparison
 420     specified in the specification file.
 421
 422     :param table: Table to generate.
 423     :param input_data: Data to process.
 424     :type table: pandas.Series
 425     :type input_data: InputData
 426     """
 427
 428     logging.info("  Generating the table {0} ...".
 429                  format(table.get("title", "")))
 430
 431     # Transform the data
 432     logging.info("    Creating the data set for the {0} '{1}'.".
 433                  format(table.get("type", ""), table.get("title", "")))
 434     data = input_data.filter_data(table, continue_on_error=True)
 435
 436     # Prepare the header of the tables
 437     try:
 438         header = ["Test case", ]
 439
 440         if table["include-tests"] == "MRR":
 441             hdr_param = "Receive Rate"
 442         else:
 443             hdr_param = "Throughput"
 444
 445         history = table.get("history", None)
 446         if history:
 447             for item in history:
 448                 header.extend(
 449                     ["{0} {1} [Mpps]".format(item["title"], hdr_param),
 450                      "{0} Stdev [Mpps]".format(item["title"])])
 451         header.extend(
 452             ["{0} {1} [Mpps]".format(table["reference"]["title"], hdr_param),
 453              "{0} Stdev [Mpps]".format(table["reference"]["title"]),
 454              "{0} {1} [Mpps]".format(table["compare"]["title"], hdr_param),
 455              "{0} Stdev [Mpps]".format(table["compare"]["title"]),
 456              "Delta [%]"])
 457         header_str = ",".join(header) + "\n"
 458     except (AttributeError, KeyError) as err:
 459         logging.error("The model is invalid, missing parameter: {0}".
 460                       format(err))
 461         return
 462
 463     # Prepare data to the table:
 464     tbl_dict = dict()
 465     for job, builds in table["reference"]["data"].items():
 466         for build in builds:
 467             for tst_name, tst_data in data[job][str(build)].iteritems():
 468                 if table["reference"]["nic"] not in tst_data["tags"]:
 469                     continue
 470                 tst_name_mod = tst_name.replace("-ndrpdrdisc", "").\
 471                     replace("-ndrpdr", "").replace("-pdrdisc", "").\
 472                     replace("-ndrdisc", "").replace("-pdr", "").\
 473                     replace("-ndr", "").\
 474                     replace("1t1c", "1c").replace("2t1c", "1c").\
 475                     replace("2t2c", "2c").replace("4t2c", "2c").\
 476                     replace("4t4c", "4c").replace("8t4c", "4c")
 477                 tst_name_mod = re.sub(REGEX_NIC, "", tst_name_mod)
 478                 if "across topologies" in table["title"].lower():
 479                     tst_name_mod = tst_name_mod.replace("2n1l-", "")
 480                 if tbl_dict.get(tst_name_mod, None) is None:
 481                     name = "{0}".format("-".join(tst_data["name"].
 482                                                  split("-")[:-1]))
 483                     if "across testbeds" in table["title"].lower() or \
 484                             "across topologies" in table["title"].lower():
 485                         name = name.\
 486                             replace("1t1c", "1c").replace("2t1c", "1c").\
 487                             replace("2t2c", "2c").replace("4t2c", "2c").\
 488                             replace("4t4c", "4c").replace("8t4c", "4c")
 489                     tbl_dict[tst_name_mod] = {"name": name,
 490                                               "ref-data": list(),
 491                                               "cmp-data": list()}
 492                 try:
 493                     # TODO: Re-work when NDRPDRDISC tests are not used
 494                     if table["include-tests"] == "MRR":
 495                         tbl_dict[tst_name_mod]["ref-data"]. \
 496                             append(tst_data["result"]["receive-rate"].avg)
 497                     elif table["include-tests"] == "PDR":
 498                         if tst_data["type"] == "PDR":
 499                             tbl_dict[tst_name_mod]["ref-data"]. \
 500                                 append(tst_data["throughput"]["value"])
 501                         elif tst_data["type"] == "NDRPDR":
 502                             tbl_dict[tst_name_mod]["ref-data"].append(
 503                                 tst_data["throughput"]["PDR"]["LOWER"])
 504                     elif table["include-tests"] == "NDR":
 505                         if tst_data["type"] == "NDR":
 506                             tbl_dict[tst_name_mod]["ref-data"]. \
 507                                 append(tst_data["throughput"]["value"])
 508                         elif tst_data["type"] == "NDRPDR":
 509                             tbl_dict[tst_name_mod]["ref-data"].append(
 510                                 tst_data["throughput"]["NDR"]["LOWER"])
 511                     else:
 512                         continue
 513                 except TypeError:
 514                     pass  # No data in output.xml for this test
 515
 516     for job, builds in table["compare"]["data"].items():
 517         for build in builds:
 518             for tst_name, tst_data in data[job][str(build)].iteritems():
 519                 if table["compare"]["nic"] not in tst_data["tags"]:
 520                     continue
 521                 tst_name_mod = tst_name.replace("-ndrpdrdisc", ""). \
 522                     replace("-ndrpdr", "").replace("-pdrdisc", ""). \
 523                     replace("-ndrdisc", "").replace("-pdr", ""). \
 524                     replace("-ndr", "").\
 525                     replace("1t1c", "1c").replace("2t1c", "1c").\
 526                     replace("2t2c", "2c").replace("4t2c", "2c").\
 527                     replace("4t4c", "4c").replace("8t4c", "4c")
 528                 tst_name_mod = re.sub(REGEX_NIC, "", tst_name_mod)
 529                 if "across topologies" in table["title"].lower():
 530                     tst_name_mod = tst_name_mod.replace("2n1l-", "")
 531                 if tbl_dict.get(tst_name_mod, None) is None:
 532                     name = "{0}".format("-".join(tst_data["name"].
 533                                                  split("-")[:-1]))
 534                     if "across testbeds" in table["title"].lower() or \
 535                             "across topologies" in table["title"].lower():
 536                         name = name.\
 537                             replace("1t1c", "1c").replace("2t1c", "1c").\
 538                             replace("2t2c", "2c").replace("4t2c", "2c").\
 539                             replace("4t4c", "4c").replace("8t4c", "4c")
 540                     tbl_dict[tst_name_mod] = {"name": name,
 541                                               "ref-data": list(),
 542                                               "cmp-data": list()}
 543                 try:
 544                     # TODO: Re-work when NDRPDRDISC tests are not used
 545                     if table["include-tests"] == "MRR":
 546                         tbl_dict[tst_name_mod]["cmp-data"]. \
 547                             append(tst_data["result"]["receive-rate"].avg)
 548                     elif table["include-tests"] == "PDR":
 549                         if tst_data["type"] == "PDR":
 550                             tbl_dict[tst_name_mod]["cmp-data"]. \
 551                                 append(tst_data["throughput"]["value"])
 552                         elif tst_data["type"] == "NDRPDR":
 553                             tbl_dict[tst_name_mod]["cmp-data"].append(
 554                                 tst_data["throughput"]["PDR"]["LOWER"])
 555                     elif table["include-tests"] == "NDR":
 556                         if tst_data["type"] == "NDR":
 557                             tbl_dict[tst_name_mod]["cmp-data"]. \
 558                                 append(tst_data["throughput"]["value"])
 559                         elif tst_data["type"] == "NDRPDR":
 560                             tbl_dict[tst_name_mod]["cmp-data"].append(
 561                                 tst_data["throughput"]["NDR"]["LOWER"])
 562                     else:
 563                         continue
 564                 except (KeyError, TypeError):
 565                     pass
 566
 567     if history:
 568         for item in history:
 569             for job, builds in item["data"].items():
 570                 for build in builds:
 571                     for tst_name, tst_data in data[job][str(build)].iteritems():
 572                         if item["nic"] not in tst_data["tags"]:
 573                             continue
 574                         tst_name_mod = tst_name.replace("-ndrpdrdisc", ""). \
 575                             replace("-ndrpdr", "").replace("-pdrdisc", ""). \
 576                             replace("-ndrdisc", "").replace("-pdr", ""). \
 577                             replace("-ndr", "").\
 578                             replace("1t1c", "1c").replace("2t1c", "1c").\
 579                             replace("2t2c", "2c").replace("4t2c", "2c").\
 580                             replace("4t4c", "4c").replace("8t4c", "4c")
 581                         tst_name_mod = re.sub(REGEX_NIC, "", tst_name_mod)
 582                         if "across topologies" in table["title"].lower():
 583                             tst_name_mod = tst_name_mod.replace("2n1l-", "")
 584                         if tbl_dict.get(tst_name_mod, None) is None:
 585                             continue
 586                         if tbl_dict[tst_name_mod].get("history", None) is None:
 587                             tbl_dict[tst_name_mod]["history"] = OrderedDict()
 588                         if tbl_dict[tst_name_mod]["history"].get(item["title"],
 589                                                              None) is None:
 590                             tbl_dict[tst_name_mod]["history"][item["title"]] = \
 591                                 list()
 592                         try:
 593                             # TODO: Re-work when NDRPDRDISC tests are not used
 594                             if table["include-tests"] == "MRR":
 595                                 tbl_dict[tst_name_mod]["history"][item["title"
 596                                 ]].append(tst_data["result"]["receive-rate"].
 597                                           avg)
 598                             elif table["include-tests"] == "PDR":
 599                                 if tst_data["type"] == "PDR":
 600                                     tbl_dict[tst_name_mod]["history"][
 601                                         item["title"]].\
 602                                         append(tst_data["throughput"]["value"])
 603                                 elif tst_data["type"] == "NDRPDR":
 604                                     tbl_dict[tst_name_mod]["history"][item[
 605                                         "title"]].append(tst_data["throughput"][
 606                                         "PDR"]["LOWER"])
 607                             elif table["include-tests"] == "NDR":
 608                                 if tst_data["type"] == "NDR":
 609                                     tbl_dict[tst_name_mod]["history"][
 610                                         item["title"]].\
 611                                         append(tst_data["throughput"]["value"])
 612                                 elif tst_data["type"] == "NDRPDR":
 613                                     tbl_dict[tst_name_mod]["history"][item[
 614                                         "title"]].append(tst_data["throughput"][
 615                                         "NDR"]["LOWER"])
 616                             else:
 617                                 continue
 618                         except (TypeError, KeyError):
 619                             pass
 620
 621     tbl_lst = list()
 622     for tst_name in tbl_dict.keys():
 623         item = [tbl_dict[tst_name]["name"], ]
 624         if history:
 625             if tbl_dict[tst_name].get("history", None) is not None:
 626                 for hist_data in tbl_dict[tst_name]["history"].values():
 627                     if hist_data:
 628                         item.append(round(mean(hist_data) / 1000000, 2))
 629                         item.append(round(stdev(hist_data) / 1000000, 2))
 630                     else:
 631                         item.extend([None, None])
 632             else:
 633                 item.extend([None, None])
 634         data_t = tbl_dict[tst_name]["ref-data"]
 635         if data_t:
 636             item.append(round(mean(data_t) / 1000000, 2))
 637             item.append(round(stdev(data_t) / 1000000, 2))
 638         else:
 639             item.extend([None, None])
 640         data_t = tbl_dict[tst_name]["cmp-data"]
 641         if data_t:
 642             item.append(round(mean(data_t) / 1000000, 2))
 643             item.append(round(stdev(data_t) / 1000000, 2))
 644         else:
 645             item.extend([None, None])
 646         if item[-4] is not None and item[-2] is not None and item[-4] != 0:
 647             item.append(int(relative_change(float(item[-4]), float(item[-2]))))
 648         else:
 649             item.append(None)
 650         if len(item) == len(header):
 651             tbl_lst.append(item)
 652
 653     # Sort the table according to the relative change
 654     tbl_lst.sort(key=lambda rel: rel[-1], reverse=True)
 655
 656     # Generate csv tables:
 657     csv_file = "{0}.csv".format(table["output-file"])
 658     with open(csv_file, "w") as file_handler:
 659         file_handler.write(header_str)
 660         for test in tbl_lst:
 661             file_handler.write(",".join([str(item) for item in test]) + "\n")
 662
 663     convert_csv_to_pretty_txt(csv_file, "{0}.txt".format(table["output-file"]))
 664
 665
 666 def table_nics_comparison(table, input_data):
 667     """Generate the table(s) with algorithm: table_nics_comparison
 668     specified in the specification file.
 669
 670     :param table: Table to generate.
 671     :param input_data: Data to process.
 672     :type table: pandas.Series
 673     :type input_data: InputData
 674     """
 675
 676     logging.info("  Generating the table {0} ...".
 677                  format(table.get("title", "")))
 678
 679     # Transform the data
 680     logging.info("    Creating the data set for the {0} '{1}'.".
 681                  format(table.get("type", ""), table.get("title", "")))
 682     data = input_data.filter_data(table, continue_on_error=True)
 683
 684     # Prepare the header of the tables
 685     try:
 686         header = ["Test case", ]
 687
 688         if table["include-tests"] == "MRR":
 689             hdr_param = "Receive Rate"
 690         else:
 691             hdr_param = "Throughput"
 692
 693         header.extend(
 694             ["{0} {1} [Mpps]".format(table["reference"]["title"], hdr_param),
 695              "{0} Stdev [Mpps]".format(table["reference"]["title"]),
 696              "{0} {1} [Mpps]".format(table["compare"]["title"], hdr_param),
 697              "{0} Stdev [Mpps]".format(table["compare"]["title"]),
 698              "Delta [%]"])
 699         header_str = ",".join(header) + "\n"
 700     except (AttributeError, KeyError) as err:
 701         logging.error("The model is invalid, missing parameter: {0}".
 702                       format(err))
 703         return
 704
 705     # Prepare data to the table:
 706     tbl_dict = dict()
 707     for job, builds in table["data"].items():
 708         for build in builds:
 709             for tst_name, tst_data in data[job][str(build)].iteritems():
 710                 tst_name_mod = tst_name.replace("-ndrpdrdisc", "").\
 711                     replace("-ndrpdr", "").replace("-pdrdisc", "").\
 712                     replace("-ndrdisc", "").replace("-pdr", "").\
 713                     replace("-ndr", "").\
 714                     replace("1t1c", "1c").replace("2t1c", "1c").\
 715                     replace("2t2c", "2c").replace("4t2c", "2c").\
 716                     replace("4t4c", "4c").replace("8t4c", "4c")
 717                 tst_name_mod = re.sub(REGEX_NIC, "", tst_name_mod)
 718                 if tbl_dict.get(tst_name_mod, None) is None:
 719                     name = "-".join(tst_data["name"].split("-")[:-1])
 720                     tbl_dict[tst_name_mod] = {"name": name,
 721                                               "ref-data": list(),
 722                                               "cmp-data": list()}
 723                 try:
 724                     if table["include-tests"] == "MRR":
 725                         result = tst_data["result"]["receive-rate"].avg
 726                     elif table["include-tests"] == "PDR":
 727                         result = tst_data["throughput"]["PDR"]["LOWER"]
 728                     elif table["include-tests"] == "NDR":
 729                         result = tst_data["throughput"]["NDR"]["LOWER"]
 730                     else:
 731                         result = None
 732
 733                     if result:
 734                         if table["reference"]["nic"] in tst_data["tags"]:
 735                             tbl_dict[tst_name_mod]["ref-data"].append(result)
 736                         elif table["compare"]["nic"] in tst_data["tags"]:
 737                             tbl_dict[tst_name_mod]["cmp-data"].append(result)
 738                 except (TypeError, KeyError) as err:
 739                     logging.debug("No data for {0}".format(tst_name))
 740                     logging.debug(repr(err))
 741                     # No data in output.xml for this test
 742
 743     tbl_lst = list()
 744     for tst_name in tbl_dict.keys():
 745         item = [tbl_dict[tst_name]["name"], ]
 746         data_t = tbl_dict[tst_name]["ref-data"]
 747         if data_t:
 748             item.append(round(mean(data_t) / 1000000, 2))
 749             item.append(round(stdev(data_t) / 1000000, 2))
 750         else:
 751             item.extend([None, None])
 752         data_t = tbl_dict[tst_name]["cmp-data"]
 753         if data_t:
 754             item.append(round(mean(data_t) / 1000000, 2))
 755             item.append(round(stdev(data_t) / 1000000, 2))
 756         else:
 757             item.extend([None, None])
 758         if item[-4] is not None and item[-2] is not None and item[-4] != 0:
 759             item.append(int(relative_change(float(item[-4]), float(item[-2]))))
 760         if len(item) == len(header):
 761             tbl_lst.append(item)
 762
 763     # Sort the table according to the relative change
 764     tbl_lst.sort(key=lambda rel: rel[-1], reverse=True)
 765
 766     # Generate csv tables:
 767     csv_file = "{0}.csv".format(table["output-file"])
 768     with open(csv_file, "w") as file_handler:
 769         file_handler.write(header_str)
 770         for test in tbl_lst:
 771             file_handler.write(",".join([str(item) for item in test]) + "\n")
 772
 773     convert_csv_to_pretty_txt(csv_file, "{0}.txt".format(table["output-file"]))
 774
 775
 776 def table_soak_vs_ndr(table, input_data):
 777     """Generate the table(s) with algorithm: table_soak_vs_ndr
 778     specified in the specification file.
 779
 780     :param table: Table to generate.
 781     :param input_data: Data to process.
 782     :type table: pandas.Series
 783     :type input_data: InputData
 784     """
 785
 786     logging.info("  Generating the table {0} ...".
 787                  format(table.get("title", "")))
 788
 789     # Transform the data
 790     logging.info("    Creating the data set for the {0} '{1}'.".
 791                  format(table.get("type", ""), table.get("title", "")))
 792     data = input_data.filter_data(table, continue_on_error=True)
 793
 794     # Prepare the header of the table
 795     try:
 796         header = [
 797             "Test case",
 798             "{0} Throughput [Mpps]".format(table["reference"]["title"]),
 799             "{0} Stdev [Mpps]".format(table["reference"]["title"]),
 800             "{0} Throughput [Mpps]".format(table["compare"]["title"]),
 801             "{0} Stdev [Mpps]".format(table["compare"]["title"]),
 802             "Delta [%]", "Stdev of delta [%]"]
 803         header_str = ",".join(header) + "\n"
 804     except (AttributeError, KeyError) as err:
 805         logging.error("The model is invalid, missing parameter: {0}".
 806                       format(err))
 807         return
 808
 809     # Create a list of available SOAK test results:
 810     tbl_dict = dict()
 811     for job, builds in table["compare"]["data"].items():
 812         for build in builds:
 813             for tst_name, tst_data in data[job][str(build)].iteritems():
 814                 if tst_data["type"] == "SOAK":
 815                     tst_name_mod = tst_name.replace("-soak", "")
 816                     if tbl_dict.get(tst_name_mod, None) is None:
 817                         groups = re.search(REGEX_NIC, tst_data["parent"])
 818                         nic = groups.group(0) if groups else ""
 819                         name = "{0}-{1}".format(nic, "-".join(tst_data["name"].
 820                                                               split("-")[:-1]))
 821                         tbl_dict[tst_name_mod] = {
 822                             "name": name,
 823                             "ref-data": list(),
 824                             "cmp-data": list()
 825                         }
 826                     try:
 827                         tbl_dict[tst_name_mod]["cmp-data"].append(
 828                             tst_data["throughput"]["LOWER"])
 829                     except (KeyError, TypeError):
 830                         pass
 831     tests_lst = tbl_dict.keys()
 832
 833     # Add corresponding NDR test results:
 834     for job, builds in table["reference"]["data"].items():
 835         for build in builds:
 836             for tst_name, tst_data in data[job][str(build)].iteritems():
 837                 tst_name_mod = tst_name.replace("-ndrpdr", "").\
 838                     replace("-mrr", "")
 839                 if tst_name_mod in tests_lst:
 840                     try:
 841                         if tst_data["type"] in ("NDRPDR", "MRR", "BMRR"):
 842                             if table["include-tests"] == "MRR":
 843                                 result = tst_data["result"]["receive-rate"].avg
 844                             elif table["include-tests"] == "PDR":
 845                                 result = tst_data["throughput"]["PDR"]["LOWER"]
 846                             elif table["include-tests"] == "NDR":
 847                                 result = tst_data["throughput"]["NDR"]["LOWER"]
 848                             else:
 849                                 result = None
 850                             if result is not None:
 851                                 tbl_dict[tst_name_mod]["ref-data"].append(
 852                                     result)
 853                     except (KeyError, TypeError):
 854                         continue
 855
 856     tbl_lst = list()
 857     for tst_name in tbl_dict.keys():
 858         item = [tbl_dict[tst_name]["name"], ]
 859         data_r = tbl_dict[tst_name]["ref-data"]
 860         if data_r:
 861             data_r_mean = mean(data_r)
 862             item.append(round(data_r_mean / 1000000, 2))
 863             data_r_stdev = stdev(data_r)
 864             item.append(round(data_r_stdev / 1000000, 2))
 865         else:
 866             data_r_mean = None
 867             data_r_stdev = None
 868             item.extend([None, None])
 869         data_c = tbl_dict[tst_name]["cmp-data"]
 870         if data_c:
 871             data_c_mean = mean(data_c)
 872             item.append(round(data_c_mean / 1000000, 2))
 873             data_c_stdev = stdev(data_c)
 874             item.append(round(data_c_stdev / 1000000, 2))
 875         else:
 876             data_c_mean = None
 877             data_c_stdev = None
 878             item.extend([None, None])
 879         if data_r_mean and data_c_mean:
 880             delta, d_stdev = relative_change_stdev(
 881                 data_r_mean, data_c_mean, data_r_stdev, data_c_stdev)
 882             item.append(round(delta, 2))
 883             item.append(round(d_stdev, 2))
 884             tbl_lst.append(item)
 885
 886     # Sort the table according to the relative change
 887     tbl_lst.sort(key=lambda rel: rel[-1], reverse=True)
 888
 889     # Generate csv tables:
 890     csv_file = "{0}.csv".format(table["output-file"])
 891     with open(csv_file, "w") as file_handler:
 892         file_handler.write(header_str)
 893         for test in tbl_lst:
 894             file_handler.write(",".join([str(item) for item in test]) + "\n")
 895
 896     convert_csv_to_pretty_txt(csv_file, "{0}.txt".format(table["output-file"]))
 897
 898
 899 def table_performance_trending_dashboard(table, input_data):
 900     """Generate the table(s) with algorithm:
 901     table_performance_trending_dashboard
 902     specified in the specification file.
 903
 904     :param table: Table to generate.
 905     :param input_data: Data to process.
 906     :type table: pandas.Series
 907     :type input_data: InputData
 908     """
 909
 910     logging.info("  Generating the table {0} ...".
 911                  format(table.get("title", "")))
 912
 913     # Transform the data
 914     logging.info("    Creating the data set for the {0} '{1}'.".
 915                  format(table.get("type", ""), table.get("title", "")))
 916     data = input_data.filter_data(table, continue_on_error=True)
 917
 918     # Prepare the header of the tables
 919     header = ["Test Case",
 920               "Trend [Mpps]",
 921               "Short-Term Change [%]",
 922               "Long-Term Change [%]",
 923               "Regressions [#]",
 924               "Progressions [#]"
 925               ]
 926     header_str = ",".join(header) + "\n"
 927
 928     # Prepare data to the table:
 929     tbl_dict = dict()
 930     for job, builds in table["data"].items():
 931         for build in builds:
 932             for tst_name, tst_data in data[job][str(build)].iteritems():
 933                 if tst_name.lower() in table.get("ignore-list", list()):
 934                     continue
 935                 if tbl_dict.get(tst_name, None) is None:
 936                     groups = re.search(REGEX_NIC, tst_data["parent"])
 937                     if not groups:
 938                         continue
 939                     nic = groups.group(0)
 940                     tbl_dict[tst_name] = {
 941                         "name": "{0}-{1}".format(nic, tst_data["name"]),
 942                         "data": OrderedDict()}
 943                 try:
 944                     tbl_dict[tst_name]["data"][str(build)] = \
 945                         tst_data["result"]["receive-rate"]
 946                 except (TypeError, KeyError):
 947                     pass  # No data in output.xml for this test
 948
 949     tbl_lst = list()
 950     for tst_name in tbl_dict.keys():
 951         data_t = tbl_dict[tst_name]["data"]
 952         if len(data_t) < 2:
 953             continue
 954
 955         classification_lst, avgs = classify_anomalies(data_t)
 956
 957         win_size = min(len(data_t), table["window"])
 958         long_win_size = min(len(data_t), table["long-trend-window"])
 959
 960         try:
 961             max_long_avg = max(
 962                 [x for x in avgs[-long_win_size:-win_size]
 963                  if not isnan(x)])
 964         except ValueError:
 965             max_long_avg = nan
 966         last_avg = avgs[-1]
 967         avg_week_ago = avgs[max(-win_size, -len(avgs))]
 968
 969         if isnan(last_avg) or isnan(avg_week_ago) or avg_week_ago == 0.0:
 970             rel_change_last = nan
 971         else:
 972             rel_change_last = round(
 973                 ((last_avg - avg_week_ago) / avg_week_ago) * 100, 2)
 974
 975         if isnan(max_long_avg) or isnan(last_avg) or max_long_avg == 0.0:
 976             rel_change_long = nan
 977         else:
 978             rel_change_long = round(
 979                 ((last_avg - max_long_avg) / max_long_avg) * 100, 2)
 980
 981         if classification_lst:
 982             if isnan(rel_change_last) and isnan(rel_change_long):
 983                 continue
 984             if (isnan(last_avg) or
 985                 isnan(rel_change_last) or
 986                 isnan(rel_change_long)):
 987                 continue
 988             tbl_lst.append(
 989                 [tbl_dict[tst_name]["name"],
 990                  round(last_avg / 1000000, 2),
 991                  rel_change_last,
 992                  rel_change_long,
 993                  classification_lst[-win_size:].count("regression"),
 994                  classification_lst[-win_size:].count("progression")])
 995
 996     tbl_lst.sort(key=lambda rel: rel[0])
 997
 998     tbl_sorted = list()
 999     for nrr in range(table["window"], -1, -1):
1000         tbl_reg = [item for item in tbl_lst if item[4] == nrr]
1001         for nrp in range(table["window"], -1, -1):
1002             tbl_out = [item for item in tbl_reg if item[5] == nrp]
1003             tbl_out.sort(key=lambda rel: rel[2])
1004             tbl_sorted.extend(tbl_out)
1005
1006     file_name = "{0}{1}".format(table["output-file"], table["output-file-ext"])
1007
1008     logging.info("    Writing file: '{0}'".format(file_name))
1009     with open(file_name, "w") as file_handler:
1010         file_handler.write(header_str)
1011         for test in tbl_sorted:
1012             file_handler.write(",".join([str(item) for item in test]) + '\n')
1013
1014     txt_file_name = "{0}.txt".format(table["output-file"])
1015     logging.info("    Writing file: '{0}'".format(txt_file_name))
1016     convert_csv_to_pretty_txt(file_name, txt_file_name)
1017
1018
1019 def _generate_url(base, testbed, test_name):
1020     """Generate URL to a trending plot from the name of the test case.
1021
1022     :param base: The base part of URL common to all test cases.
1023     :param testbed: The testbed used for testing.
1024     :param test_name: The name of the test case.
1025     :type base: str
1026     :type testbed: str
1027     :type test_name: str
1028     :returns: The URL to the plot with the trending data for the given test
1029         case.
1030     :rtype str
1031     """
1032
1033     url = base
1034     file_name = ""
1035     anchor = ".html#"
1036     feature = ""
1037
1038     if "lbdpdk" in test_name or "lbvpp" in test_name:
1039         file_name = "link_bonding"
1040
1041     elif "114b" in test_name and "vhost" in test_name:
1042         file_name = "vts"
1043
1044     elif "testpmd" in test_name or "l3fwd" in test_name:
1045         file_name = "dpdk"
1046
1047     elif "memif" in test_name:
1048         file_name = "container_memif"
1049         feature = "-base"
1050
1051     elif "srv6" in test_name:
1052         file_name = "srv6"
1053
1054     elif "vhost" in test_name:
1055         if "l2xcbase" in test_name or "l2bdbasemaclrn" in test_name:
1056             file_name = "vm_vhost_l2"
1057             if "114b" in test_name:
1058                 feature = ""
1059             elif "l2xcbase" in test_name and "x520" in test_name:
1060                 feature = "-base-l2xc"
1061             elif "l2bdbasemaclrn" in test_name and "x520" in test_name:
1062                 feature = "-base-l2bd"
1063             else:
1064                 feature = "-base"
1065         elif "ip4base" in test_name:
1066             file_name = "vm_vhost_ip4"
1067             feature = "-base"
1068
1069     elif "ipsecbasetnlsw" in test_name:
1070         file_name = "ipsecsw"
1071         feature = "-base-scale"
1072
1073     elif "ipsec" in test_name:
1074         file_name = "ipsec"
1075         feature = "-base-scale"
1076         if "hw-" in test_name:
1077             file_name = "ipsechw"
1078         elif "sw-" in test_name:
1079             file_name = "ipsecsw"
1080
1081     elif "ethip4lispip" in test_name or "ethip4vxlan" in test_name:
1082         file_name = "ip4_tunnels"
1083         feature = "-base"
1084
1085     elif "ip4base" in test_name or "ip4scale" in test_name:
1086         file_name = "ip4"
1087         if "xl710" in test_name:
1088             feature = "-base-scale-features"
1089         elif "iacl" in test_name:
1090             feature = "-features-iacl"
1091         elif "oacl" in test_name:
1092             feature = "-features-oacl"
1093         elif "snat" in test_name or "cop" in test_name:
1094             feature = "-features"
1095         else:
1096             feature = "-base-scale"
1097
1098     elif "ip6base" in test_name or "ip6scale" in test_name:
1099         file_name = "ip6"
1100         feature = "-base-scale"
1101
1102     elif "l2xcbase" in test_name or "l2xcscale" in test_name \
1103             or "l2bdbasemaclrn" in test_name or "l2bdscale" in test_name \
1104             or "l2dbbasemaclrn" in test_name or "l2dbscale" in test_name:
1105         file_name = "l2"
1106         if "macip" in test_name:
1107             feature = "-features-macip"
1108         elif "iacl" in test_name:
1109             feature = "-features-iacl"
1110         elif "oacl" in test_name:
1111             feature = "-features-oacl"
1112         else:
1113             feature = "-base-scale"
1114
1115     if "x520" in test_name:
1116         nic = "x520-"
1117     elif "x710" in test_name:
1118         nic = "x710-"
1119     elif "xl710" in test_name:
1120         nic = "xl710-"
1121     elif "xxv710" in test_name:
1122         nic = "xxv710-"
1123     elif "vic1227" in test_name:
1124         nic = "vic1227-"
1125     elif "vic1385" in test_name:
1126         nic = "vic1385-"
1127     else:
1128         nic = ""
1129     anchor += nic
1130
1131     if "64b" in test_name:
1132         framesize = "64b"
1133     elif "78b" in test_name:
1134         framesize = "78b"
1135     elif "imix" in test_name:
1136         framesize = "imix"
1137     elif "9000b" in test_name:
1138         framesize = "9000b"
1139     elif "1518b" in test_name:
1140         framesize = "1518b"
1141     elif "114b" in test_name:
1142         framesize = "114b"
1143     else:
1144         framesize = ""
1145     anchor += framesize + '-'
1146
1147     if "1t1c" in test_name:
1148         anchor += "1t1c"
1149     elif "2t2c" in test_name:
1150         anchor += "2t2c"
1151     elif "4t4c" in test_name:
1152         anchor += "4t4c"
1153     elif "2t1c" in test_name:
1154         anchor += "2t1c"
1155     elif "4t2c" in test_name:
1156         anchor += "4t2c"
1157     elif "8t4c" in test_name:
1158         anchor += "8t4c"
1159
1160     return url + file_name + '-' + testbed + '-' + nic + framesize + \
1161         feature.replace("-int", "").replace("-tnl", "") + anchor + feature
1162
1163
1164 def table_performance_trending_dashboard_html(table, input_data):
1165     """Generate the table(s) with algorithm:
1166     table_performance_trending_dashboard_html specified in the specification
1167     file.
1168
1169     :param table: Table to generate.
1170     :param input_data: Data to process.
1171     :type table: dict
1172     :type input_data: InputData
1173     """
1174
1175     testbed = table.get("testbed", None)
1176     if testbed is None:
1177         logging.error("The testbed is not defined for the table '{0}'.".
1178                       format(table.get("title", "")))
1179         return
1180
1181     logging.info("  Generating the table {0} ...".
1182                  format(table.get("title", "")))
1183
1184     try:
1185         with open(table["input-file"], 'rb') as csv_file:
1186             csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
1187             csv_lst = [item for item in csv_content]
1188     except KeyError:
1189         logging.warning("The input file is not defined.")
1190         return
1191     except csv.Error as err:
1192         logging.warning("Not possible to process the file '{0}'.\n{1}".
1193                         format(table["input-file"], err))
1194         return
1195
1196     # Table:
1197     dashboard = ET.Element("table", attrib=dict(width="100%", border='0'))
1198
1199     # Table header:
1200     tr = ET.SubElement(dashboard, "tr", attrib=dict(bgcolor="#7eade7"))
1201     for idx, item in enumerate(csv_lst[0]):
1202         alignment = "left" if idx == 0 else "center"
1203         th = ET.SubElement(tr, "th", attrib=dict(align=alignment))
1204         th.text = item
1205
1206     # Rows:
1207     colors = {"regression": ("#ffcccc", "#ff9999"),
1208               "progression": ("#c6ecc6", "#9fdf9f"),
1209               "normal": ("#e9f1fb", "#d4e4f7")}
1210     for r_idx, row in enumerate(csv_lst[1:]):
1211         if int(row[4]):
1212             color = "regression"
1213         elif int(row[5]):
1214             color = "progression"
1215         else:
1216             color = "normal"
1217         background = colors[color][r_idx % 2]
1218         tr = ET.SubElement(dashboard, "tr", attrib=dict(bgcolor=background))
1219
1220         # Columns:
1221         for c_idx, item in enumerate(row):
1222             alignment = "left" if c_idx == 0 else "center"
1223             td = ET.SubElement(tr, "td", attrib=dict(align=alignment))
1224             # Name:
1225             if c_idx == 0:
1226                 url = _generate_url("../trending/", testbed, item)
1227                 ref = ET.SubElement(td, "a", attrib=dict(href=url))
1228                 ref.text = item
1229             else:
1230                 td.text = item
1231     try:
1232         with open(table["output-file"], 'w') as html_file:
1233             logging.info("    Writing file: '{0}'".format(table["output-file"]))
1234             html_file.write(".. raw:: html\n\n\t")
1235             html_file.write(ET.tostring(dashboard))
1236             html_file.write("\n\t<p><br><br></p>\n")
1237     except KeyError:
1238         logging.warning("The output file is not defined.")
1239         return
1240
1241
1242 def table_last_failed_tests(table, input_data):
1243     """Generate the table(s) with algorithm: table_last_failed_tests
1244     specified in the specification file.
1245
1246     :param table: Table to generate.
1247     :param input_data: Data to process.
1248     :type table: pandas.Series
1249     :type input_data: InputData
1250     """
1251
1252     logging.info("  Generating the table {0} ...".
1253                  format(table.get("title", "")))
1254
1255     # Transform the data
1256     logging.info("    Creating the data set for the {0} '{1}'.".
1257                  format(table.get("type", ""), table.get("title", "")))
1258     data = input_data.filter_data(table, continue_on_error=True)
1259
1260     if data is None or data.empty:
1261         logging.warn("    No data for the {0} '{1}'.".
1262                      format(table.get("type", ""), table.get("title", "")))
1263         return
1264
1265     tbl_list = list()
1266     for job, builds in table["data"].items():
1267         for build in builds:
1268             build = str(build)
1269             try:
1270                 version = input_data.metadata(job, build).get("version", "")
1271             except KeyError:
1272                 logging.error("Data for {job}: {build} is not present.".
1273                               format(job=job, build=build))
1274                 return
1275             tbl_list.append(build)
1276             tbl_list.append(version)
1277             for tst_name, tst_data in data[job][build].iteritems():
1278                 if tst_data["status"] != "FAIL":
1279                     continue
1280                 groups = re.search(REGEX_NIC, tst_data["parent"])
1281                 if not groups:
1282                     continue
1283                 nic = groups.group(0)
1284                 tbl_list.append("{0}-{1}".format(nic, tst_data["name"]))
1285
1286     file_name = "{0}{1}".format(table["output-file"], table["output-file-ext"])
1287     logging.info("    Writing file: '{0}'".format(file_name))
1288     with open(file_name, "w") as file_handler:
1289         for test in tbl_list:
1290             file_handler.write(test + '\n')
1291
1292
1293 def table_failed_tests(table, input_data):
1294     """Generate the table(s) with algorithm: table_failed_tests
1295     specified in the specification file.
1296
1297     :param table: Table to generate.
1298     :param input_data: Data to process.
1299     :type table: pandas.Series
1300     :type input_data: InputData
1301     """
1302
1303     logging.info("  Generating the table {0} ...".
1304                  format(table.get("title", "")))
1305
1306     # Transform the data
1307     logging.info("    Creating the data set for the {0} '{1}'.".
1308                  format(table.get("type", ""), table.get("title", "")))
1309     data = input_data.filter_data(table, continue_on_error=True)
1310
1311     # Prepare the header of the tables
1312     header = ["Test Case",
1313               "Failures [#]",
1314               "Last Failure [Time]",
1315               "Last Failure [VPP-Build-Id]",
1316               "Last Failure [CSIT-Job-Build-Id]"]
1317
1318     # Generate the data for the table according to the model in the table
1319     # specification
1320
1321     now = dt.utcnow()
1322     timeperiod = timedelta(int(table.get("window", 7)))
1323
1324     tbl_dict = dict()
1325     for job, builds in table["data"].items():
1326         for build in builds:
1327             build = str(build)
1328             for tst_name, tst_data in data[job][build].iteritems():
1329                 if tst_name.lower() in table.get("ignore-list", list()):
1330                     continue
1331                 if tbl_dict.get(tst_name, None) is None:
1332                     groups = re.search(REGEX_NIC, tst_data["parent"])
1333                     if not groups:
1334                         continue
1335                     nic = groups.group(0)
1336                     tbl_dict[tst_name] = {
1337                         "name": "{0}-{1}".format(nic, tst_data["name"]),
1338                         "data": OrderedDict()}
1339                 try:
1340                     generated = input_data.metadata(job, build).\
1341                         get("generated", "")
1342                     if not generated:
1343                         continue
1344                     then = dt.strptime(generated, "%Y%m%d %H:%M")
1345                     if (now - then) <= timeperiod:
1346                         tbl_dict[tst_name]["data"][build] = (
1347                             tst_data["status"],
1348                             generated,
1349                             input_data.metadata(job, build).get("version", ""),
1350                             build)
1351                 except (TypeError, KeyError) as err:
1352                     logging.warning("tst_name: {} - err: {}".
1353                                     format(tst_name, repr(err)))
1354
1355     max_fails = 0
1356     tbl_lst = list()
1357     for tst_data in tbl_dict.values():
1358         fails_nr = 0
1359         for val in tst_data["data"].values():
1360             if val[0] == "FAIL":
1361                 fails_nr += 1
1362                 fails_last_date = val[1]
1363                 fails_last_vpp = val[2]
1364                 fails_last_csit = val[3]
1365         if fails_nr:
1366             max_fails = fails_nr if fails_nr > max_fails else max_fails
1367             tbl_lst.append([tst_data["name"],
1368                             fails_nr,
1369                             fails_last_date,
1370                             fails_last_vpp,
1371                             "mrr-daily-build-{0}".format(fails_last_csit)])
1372
1373     tbl_lst.sort(key=lambda rel: rel[2], reverse=True)
1374     tbl_sorted = list()
1375     for nrf in range(max_fails, -1, -1):
1376         tbl_fails = [item for item in tbl_lst if item[1] == nrf]
1377         tbl_sorted.extend(tbl_fails)
1378     file_name = "{0}{1}".format(table["output-file"], table["output-file-ext"])
1379
1380     logging.info("    Writing file: '{0}'".format(file_name))
1381     with open(file_name, "w") as file_handler:
1382         file_handler.write(",".join(header) + "\n")
1383         for test in tbl_sorted:
1384             file_handler.write(",".join([str(item) for item in test]) + '\n')
1385
1386     txt_file_name = "{0}.txt".format(table["output-file"])
1387     logging.info("    Writing file: '{0}'".format(txt_file_name))
1388     convert_csv_to_pretty_txt(file_name, txt_file_name)
1389
1390
1391 def table_failed_tests_html(table, input_data):
1392     """Generate the table(s) with algorithm: table_failed_tests_html
1393     specified in the specification file.
1394
1395     :param table: Table to generate.
1396     :param input_data: Data to process.
1397     :type table: pandas.Series
1398     :type input_data: InputData
1399     """
1400
1401     testbed = table.get("testbed", None)
1402     if testbed is None:
1403         logging.error("The testbed is not defined for the table '{0}'.".
1404                       format(table.get("title", "")))
1405         return
1406
1407     logging.info("  Generating the table {0} ...".
1408                  format(table.get("title", "")))
1409
1410     try:
1411         with open(table["input-file"], 'rb') as csv_file:
1412             csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
1413             csv_lst = [item for item in csv_content]
1414     except KeyError:
1415         logging.warning("The input file is not defined.")
1416         return
1417     except csv.Error as err:
1418         logging.warning("Not possible to process the file '{0}'.\n{1}".
1419                         format(table["input-file"], err))
1420         return
1421
1422     # Table:
1423     failed_tests = ET.Element("table", attrib=dict(width="100%", border='0'))
1424
1425     # Table header:
1426     tr = ET.SubElement(failed_tests, "tr", attrib=dict(bgcolor="#7eade7"))
1427     for idx, item in enumerate(csv_lst[0]):
1428         alignment = "left" if idx == 0 else "center"
1429         th = ET.SubElement(tr, "th", attrib=dict(align=alignment))
1430         th.text = item
1431
1432     # Rows:
1433     colors = ("#e9f1fb", "#d4e4f7")
1434     for r_idx, row in enumerate(csv_lst[1:]):
1435         background = colors[r_idx % 2]
1436         tr = ET.SubElement(failed_tests, "tr", attrib=dict(bgcolor=background))
1437
1438         # Columns:
1439         for c_idx, item in enumerate(row):
1440             alignment = "left" if c_idx == 0 else "center"
1441             td = ET.SubElement(tr, "td", attrib=dict(align=alignment))
1442             # Name:
1443             if c_idx == 0:
1444                 url = _generate_url("../trending/", testbed, item)
1445                 ref = ET.SubElement(td, "a", attrib=dict(href=url))
1446                 ref.text = item
1447             else:
1448                 td.text = item
1449     try:
1450         with open(table["output-file"], 'w') as html_file:
1451             logging.info("    Writing file: '{0}'".format(table["output-file"]))
1452             html_file.write(".. raw:: html\n\n\t")
1453             html_file.write(ET.tostring(failed_tests))
1454             html_file.write("\n\t<p><br><br></p>\n")
1455     except KeyError:
1456         logging.warning("The output file is not defined.")
1457         return