path: root/resources/tools/presentation/input_data_parser.py

# Copyright (c) 2019 Cisco and/or its affiliates.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""Data pre-processing

- extract data from output.xml files generated by Jenkins jobs and store in
  pandas' Series,
- provide access to the data.
- filter the data using tags,
"""

import re
import copy
import resource
import logging

from collections import OrderedDict
from os import remove
from datetime import datetime as dt
from datetime import timedelta
from json import loads

import hdrh.histogram
import hdrh.codec
import prettytable
import pandas as pd

from robot.api import ExecutionResult, ResultVisitor
from robot import errors

from resources.libraries.python import jumpavg
from input_data_files import download_and_unzip_data_file


# Separator used in file names
SEPARATOR = u"__"


class ExecutionChecker(ResultVisitor):
    """Class to traverse through the test suite structure.

    The functionality implemented in this class generates a json structure:

    Performance tests:

    {
        "metadata": {
            "generated": "Timestamp",
            "version": "SUT version",
            "job": "Jenkins job name",
            "build": "Information about the build"
        },
        "suites": {
            "Suite long name 1": {
                "name": Suite name,
                "doc": "Suite 1 documentation",
                "parent": "Suite 1 parent",
                "level": "Level of the suite in the suite hierarchy"
            }
            "Suite long name N": {
                "name": Suite name,
                "doc": "Suite N documentation",
                "parent": "Suite 2 parent",
                "level": "Level of the suite in the suite hierarchy"
            }
        }
        "tests": {
            # NDRPDR tests:
            "ID": {
                "name": "Test name",
                "parent": "Name of the parent of the test",
                "doc": "Test documentation",
                "msg": "Test message",
                "conf-history": "DUT1 and DUT2 VAT History",
                "show-run": "Show Run",
                "tags": ["tag 1", "tag 2", "tag n"],
                "type": "NDRPDR",
                "status": "PASS" | "FAIL",
                "throughput": {
                    "NDR": {
                        "LOWER": float,
                        "UPPER": float
                    },
                    "PDR": {
                        "LOWER": float,
                        "UPPER": float
                    }
                },
                "latency": {
                    "NDR": {
                        "direction1": {
                            "min": float,
                            "avg": float,
                            "max": float,
                            "hdrh": str
                        },
                        "direction2": {
                            "min": float,
                            "avg": float,
                            "max": float,
                            "hdrh": str
                        }
                    },
                    "PDR": {
                        "direction1": {
                            "min": float,
                            "avg": float,
                            "max": float,
                            "hdrh": str
                        },
                        "direction2": {
                            "min": float,
                            "avg": float,
                            "max": float,
                            "hdrh": str
                        }
                    }
                }
            }

            # TCP tests:
            "ID": {
                "name": "Test name",
                "parent": "Name of the parent of the test",
                "doc": "Test documentation",
                "msg": "Test message",
                "tags": ["tag 1", "tag 2", "tag n"],
                "type": "TCP",
                "status": "PASS" | "FAIL",
                "result": int
            }

            # MRR, BMRR tests:
            "ID": {
                "name": "Test name",
                "parent": "Name of the parent of the test",
                "doc": "Test documentation",
                "msg": "Test message",
                "tags": ["tag 1", "tag 2", "tag n"],
                "type": "MRR" | "BMRR",
                "status": "PASS" | "FAIL",
                "result": {
                    "receive-rate": float,
                    # Average of a list, computed using AvgStdevStats.
                    # In CSIT-1180, replace with List[float].
                }
            }

            "ID" {
                # next test
            }
        }
    }


    Functional tests:

    {
        "metadata": {  # Optional
            "version": "VPP version",
            "job": "Jenkins job name",
            "build": "Information about the build"
        },
        "suites": {
            "Suite name 1": {
                "doc": "Suite 1 documentation",
                "parent": "Suite 1 parent",
                "level": "Level of the suite in the suite hierarchy"
            }
            "Suite name N": {
                "doc": "Suite N documentation",
                "parent": "Suite 2 parent",
                "level": "Level of the suite in the suite hierarchy"
            }
        }
        "tests": {
            "ID": {
                "name": "Test name",
                "parent": "Name of the parent of the test",
                "doc": "Test documentation"
                "msg": "Test message"
                "tags": ["tag 1", "tag 2", "tag n"],
                "conf-history": "DUT1 and DUT2 VAT History"
                "show-run": "Show Run"
                "status": "PASS" | "FAIL"
            },
            "ID" {
                # next test
            }
        }
    }

    .. note:: ID is the lowercase full path to the test.
    """

    REGEX_PLR_RATE = re.compile(
        r'PLRsearch lower bound::?\s(\d+.\d+).*\n'
        r'PLRsearch upper bound::?\s(\d+.\d+)'
    )
    REGEX_NDRPDR_RATE = re.compile(
        r'NDR_LOWER:\s(\d+.\d+).*\n.*\n'
        r'NDR_UPPER:\s(\d+.\d+).*\n'
        r'PDR_LOWER:\s(\d+.\d+).*\n.*\n'
        r'PDR_UPPER:\s(\d+.\d+)'
    )
    REGEX_PERF_MSG_INFO = re.compile(
        r'NDR_LOWER:\s(\d+.\d+)\s([a-zA-Z]*).*\s(\d+.\d+)\s([a-zA-Z]*).*\n'
        r'LATENCY.*\[\'(.*)\', \'(.*)\'\].*\n'
        r'NDR_UPPER:\s(\d+.\d+)\s([a-zA-Z]*).*\s(\d+.\d+)\s([a-zA-Z]*).*\n'
        r'PDR_LOWER:\s(\d+.\d+)\s([a-zA-Z]*).*\s(\d+.\d+)\s([a-zA-Z]*).*\n'
        r'LATENCY.*\[\'(.*)\', \'(.*)\'\].*\n'
        r'PDR_UPPER:\s(\d+.\d+)\s([a-zA-Z]*).*\s(\d+.\d+)\s([a-zA-Z]*)'
    )
    # TODO: Remove when not needed
    REGEX_NDRPDR_LAT_BASE = re.compile(
        r'LATENCY.*\[\'(.*)\', \'(.*)\'\]\s\n.*\n.*\n'
        r'LATENCY.*\[\'(.*)\', \'(.*)\'\]'
    )
    REGEX_NDRPDR_LAT = re.compile(
        r'LATENCY.*\[\'(.*)\', \'(.*)\'\]\s\n.*\n.*\n'
        r'LATENCY.*\[\'(.*)\', \'(.*)\'\]\s\n.*\n'
        r'Latency.*\[\'(.*)\', \'(.*)\'\]\s\n'
        r'Latency.*\[\'(.*)\', \'(.*)\'\]\s\n'
        r'Latency.*\[\'(.*)\', \'(.*)\'\]\s\n'
        r'Latency.*\[\'(.*)\', \'(.*)\'\]'
    )
    # TODO: Remove when not needed
    REGEX_NDRPDR_LAT_LONG = re.compile(
        r'LATENCY.*\[\'(.*)\', \'(.*)\'\]\s\n.*\n.*\n'
        r'LATENCY.*\[\'(.*)\', \'(.*)\'\]\s\n.*\n'
        r'Latency.*\[\'(.*)\', \'(.*)\'\]\s\n'
        r'Latency.*\[\'(.*)\', \'(.*)\'\]\s\n'
        r'Latency.*\[\'(.*)\', \'(.*)\'\]\s\n'
        r'Latency.*\[\'(.*)\', \'(.*)\'\]\s\n'
        r'Latency.*\[\'(.*)\', \'(.*)\'\]\s\n'
        r'Latency.*\[\'(.*)\', \'(.*)\'\]\s\n'
        r'Latency.*\[\'(.*)\', \'(.*)\'\]'
    )
    REGEX_VERSION_VPP = re.compile(
        r"(return STDOUT Version:\s*|"
        r"VPP Version:\s*|VPP version:\s*)(.*)"
    )
    REGEX_VERSION_DPDK = re.compile(
        r"(DPDK version:\s*|DPDK Version:\s*)(.*)"
    )
    REGEX_TCP = re.compile(
        r'Total\s(rps|cps|throughput):\s(\d*).*$'
    )
    REGEX_MRR = re.compile(
        r'MaxReceivedRate_Results\s\[pkts/(\d*)sec\]:\s'
        r'tx\s(\d*),\srx\s(\d*)'
    )
    REGEX_BMRR = re.compile(
        r'Maximum Receive Rate trial results'
        r' in packets per second: \[(.*)\]'
    )
    REGEX_RECONF_LOSS = re.compile(
        r'Packets lost due to reconfig: (\d*)'
    )
    REGEX_RECONF_TIME = re.compile(
        r'Implied time lost: (\d*.[\de-]*)'
    )
    REGEX_TC_TAG = re.compile(r'\d+[tT]\d+[cC]')

    REGEX_TC_NAME_OLD = re.compile(r'-\d+[tT]\d+[cC]-')

    REGEX_TC_NAME_NEW = re.compile(r'-\d+[cC]-')

    REGEX_TC_NUMBER = re.compile(r'tc\d{2}-')

    REGEX_TC_PAPI_CLI = re.compile(r'.*\((\d+.\d+.\d+.\d+.) - (.*)\)')

    def __init__(self, metadata, mapping, ignore):
        """Initialisation.

        :param metadata: Key-value pairs to be included in "metadata" part of
            JSON structure.
        :param mapping: Mapping of the old names of test cases to the new
            (actual) one.
        :param ignore: List of TCs to be ignored.
        :type metadata: dict
        :type mapping: dict
        :type ignore: list
        """

        # Type of message to parse out from the test messages
        self._msg_type = None

        # VPP version
        self._version = None

        # Timestamp
        self._timestamp = None

        # Testbed. The testbed is identified by TG node IP address.
        self._testbed = None

        # Mapping of TCs long names
        self._mapping = mapping

        # Ignore list
        self._ignore = ignore

        # Number of PAPI History messages found:
        # 0 - no message
        # 1 - PAPI History of DUT1
        # 2 - PAPI History of DUT2
        self._conf_history_lookup_nr = 0

        # Test ID of currently processed test- the lowercase full path to the
        # test
        self._test_id = None

        # The main data structure
        self._data = {
            u"metadata": OrderedDict(),
            u"suites": OrderedDict(),
            u"tests": OrderedDict()
        }

        # Save the provided metadata
        for key, val in metadata.items():
            self._data[u"metadata"][key] = val

        # Dictionary defining the methods used to parse different types of
        # messages
        self.parse_msg = {
            u"timestamp": self._get_timestamp,
            u"vpp-version": self._get_vpp_version,
            u"dpdk-version": self._get_dpdk_version,
            # TODO: Remove when not needed:
            u"teardown-vat-history": self._get_vat_history,
            u"teardown-papi-history": self._get_papi_history,
            u"test-show-runtime": self._get_show_run,
            u"testbed": self._get_testbed
        }

    @property
    def data(self):
        """Getter - Data parsed from the XML file.

        :returns: Data parsed from the XML file.
        :rtype: dict
        """
        return self._data

    def _get_data_from_perf_test_msg(self, msg):
        """Get
            - NDR_LOWER
            - LATENCY
            - NDR_UPPER
            - PDR_LOWER
            - LATENCY
            - PDR_UPPER
        from message of NDRPDR performance tests.

        :param msg: Message to be processed.
        :type msg: str
        :returns: Processed message or original message if a problem occurs.
        :rtype: str
        """

        groups = re.search(self.REGEX_PERF_MSG_INFO, msg)
        if not groups or groups.lastindex != 20:
            return msg

        try:
            data = {
                u"ndr_low": float(groups.group(1)),
                u"ndr_low_unit": groups.group(2),
                u"ndr_low_b": float(groups.group(3)),
                u"ndr_low_b_unit": groups.group(4),
                u"ndr_lat_1": groups.group(5),
                u"ndr_lat_2": groups.group(6),
                u"ndr_up": float(groups.group(7)),
                u"ndr_up_unit": groups.group(8),
                u"ndr_up_b": float(groups.group(9)),
                u"ndr_up_b_unit": groups.group(10),
                u"pdr_low": float(groups.group(11)),
                u"pdr_low_unit": groups.group(12),
                u"pdr_low_b": float(groups.group(13)),
                u"pdr_low_b_unit": groups.group(14),
                u"pdr_lat_1": groups.group(15),
                u"pdr_lat_2": groups.group(16),
                u"pdr_up": float(groups.group(17)),
                u"pdr_up_unit": groups.group(18),
                u"pdr_up_b": float(groups.group(19)),
                u"pdr_up_b_unit": groups.group(20)
            }
        except (AttributeError, IndexError, ValueError, KeyError):
            return msg

        def _process_lat(in_str_1, in_str_2):
            """Extract min, avg, max values from latency string.

            :param in_str_1: Latency string for one direction produced by robot
                framework.
            :param in_str_2: Latency string for second direction produced by
                robot framework.
            :type in_str_1: str
            :type in_str_2: str
            :returns: Processed latency string or original string if a problem
                occurs.
            :rtype: tuple(str, str)
            """
            in_list_1 = in_str_1.split('/', 3)
            if len(in_list_1) < 3:
                return u"Not Measured.", u"Not Measured."

            in_list_2 = in_str_2.split('/', 3)
            if len(in_list_2) < 3:
                return u"Not Measured.", u"Not Measured."

            hdr_lat_1 = u""
            if len(in_list_1) == 4:
                in_list_1[3] += u"=" * (len(in_list_1[3]) % 4)
                try:
                    hdr_lat_1 = hdrh.histogram.HdrHistogram.decode(in_list_1[3])
                except hdrh.codec.HdrLengthException:
                    pass
            hdr_lat_2 = u""
            if len(in_list_2) == 4:
                in_list_2[3] += u"=" * (len(in_list_2[3]) % 4)
                try:
                    hdr_lat_2 = hdrh.histogram.HdrHistogram.decode(in_list_2[3])
                except hdrh.codec.HdrLengthException:
                    pass

            hdr_lat = u"Not Measured."
            if hdr_lat_1 and hdr_lat_2:
                hdr_lat = (
                    f"50%/90%/99%/99.9%, "
                    f"{hdr_lat_1.get_value_at_percentile(50.0)}/"
                    f"{hdr_lat_1.get_value_at_percentile(90.0)}/"
                    f"{hdr_lat_1.get_value_at_percentile(99.0)}/"
                    f"{hdr_lat_1.get_value_at_percentile(99.9)}, "
                    f"{hdr_lat_2.get_value_at_percentile(50.0)}/"
                    f"{hdr_lat_2.get_value_at_percentile(90.0)}/"
                    f"{hdr_lat_2.get_value_at_percentile(99.0)}/"
                    f"{hdr_lat_2.get_value_at_percentile(99.9)} "
                    f"uSec."
                )

            return (
                f"Min/Avg/Max, "
                f"{in_list_1[0]}/{in_list_1[1]}/{in_list_1[2]}, "
                f"{in_list_2[0]}/{in_list_2[1]}/{in_list_2[2]} uSec.",
                hdr_lat
            )

        try:
            pdr_lat = _process_lat(data[u'pdr_lat_1'], data[u'pdr_lat_2'])
            ndr_lat = _process_lat(data[u'ndr_lat_1'], data[u'ndr_lat_2'])
            return (
                f"NDR Throughput: {(data[u'ndr_low'] / 1e6):.2f} "
                f"M{data[u'ndr_low_unit']}, "
                f"{data[u'ndr_low_b']:.2f} {data[u'ndr_low_b_unit']}.\n"
                f"One-Way Latency at NDR: {ndr_lat[0]}\n"
                f"One-Way Latency at NDR by percentiles: {ndr_lat[1]}\n"
                f"PDR Throughput: {(data[u'pdr_low'] / 1e6):.2f} "
                f"M{data[u'pdr_low_unit']}, "
                f"{data[u'pdr_low_b']:.2f} {data[u'pdr_low_b_unit']}.\n"
                f"One-Way Latency at PDR: {pdr_lat[0]}\n"
                f"One-Way Latency at PDR by percentiles: {pdr_lat[1]}"
            )
        except (AttributeError, IndexError, ValueError, KeyError):
            return msg

    def _get_testbed(self, msg):
        """Called when extraction of testbed IP is required.
        The testbed is identified by TG node IP address.

        :param msg: Message to process.
        :type msg: Message
        :returns: Nothing.
        """

        if msg.message.count(u"Setup of TG node") or \
                msg.message.count(u"Setup of node TG host"):
            reg_tg_ip = re.compile(
                r'.*TG .* (\d{1,3}.\d{1,3}.\d{1,3}.\d{1,3}).*')
            try:
                self._testbed = str(re.search(reg_tg_ip, msg.message).group(1))
            except (KeyError, ValueError, IndexError, AttributeError):
                pass
            finally:
                self._data[u"metadata"][u"testbed"] = self._testbed
                self._msg_type = None

    def _get_vpp_version(self, msg):
        """Called when extraction of VPP version is required.

        :param msg: Message to process.
        :type msg: Message
        :returns: Nothing.
        """

        if msg.message.count(u"return STDOUT Version:") or \
            msg.message.count(u"VPP Version:") or \
            msg.message.count(u"VPP version:"):
            self._version = str(re.search(self.REGEX_VERSION_VPP, msg.message).
                                group(2))
            self._data[u"metadata"][u"version"] = self._version
            self._msg_type = None

    def _get_dpdk_version(self, msg):
        """Called when extraction of DPDK version is required.

        :param msg: Message to process.
        :type msg: Message
        :returns: Nothing.
        """

        if msg.message.count(u"DPDK Version:"):
            try:
                self._version = str(re.search(
                    self.REGEX_VERSION_DPDK, msg.message).group(2))
                self._data[u"metadata"][u"version"] = self._version
            except IndexError:
                pass
            finally:
                self._msg_type = None

    def _get_timestamp(self, msg):
        """Called when extraction of timestamp is required.

        :param msg: Message to process.
        :type msg: Message
        :returns: Nothing.
        """

        self._timestamp = msg.timestamp[:14]
        self._data[u"metadata"][u"generated"] = self._timestamp
        self._msg_type = None

    def _get_vat_history(self, msg):
        """Called when extraction of VAT command history is required.

        TODO: Remove when not needed.

        :param msg: Message to process.
        :type msg: Message
        :returns: Nothing.
        """
        if msg.message.count(u"VAT command history:"):
            self._conf_history_lookup_nr += 1
            if self._conf_history_lookup_nr == 1:
                self._data[u"tests"][self._test_id][u"conf-history"] = str()
            else:
                self._msg_type = None
            text = re.sub(r"\d{1,3}.\d{1,3}.\d{1,3}.\d{1,3} "
                          r"VAT command history:", u"",
                          msg.message, count=1).replace(u'\n', u' |br| ').\
                replace(u'"', u"'")

            self._data[u"tests"][self._test_id][u"conf-history"] += (
                f" |br| **DUT{str(self._conf_history_lookup_nr)}:** {text}"
            )

    def _get_papi_history(self, msg):
        """Called when extraction of PAPI command history is required.

        :param msg: Message to process.
        :type msg: Message
        :returns: Nothing.
        """
        if msg.message.count(u"PAPI command history:"):
            self._conf_history_lookup_nr += 1
            if self._conf_history_lookup_nr == 1:
                self._data[u"tests"][self._test_id][u"conf-history"] = str()
            else:
                self._msg_type = None
            text = re.sub(r"\d{1,3}.\d{1,3}.\d{1,3}.\d{1,3} "
                          r"PAPI command history:", u"",
                          msg.message, count=1).replace(u'\n', u' |br| ').\
                replace(u'"', u"'")
            self._data[u"tests"][self._test_id][u"conf-history"] += (
                f" |br| **DUT{str(self._conf_history_lookup_nr)}:** {text}"
            )

    def _get_show_run(self, msg):
        """Called when extraction of VPP operational data (output of CLI command
        Show Runtime) is required.

        :param msg: Message to process.
        :type msg: Message
        :returns: Nothing.
        """

        if not msg.message.count(u"stats runtime"):
            return

        if u"show-run" not in self._data[u"tests"][self._test_id].keys():
            self._data[u"tests"][self._test_id][u"show-run"] = dict()

        groups = re.search(self.REGEX_TC_PAPI_CLI, msg.message)
        if not groups:
            return
        try:
            host = groups.group(1)
        except (AttributeError, IndexError):
            host = u""
        try:
            sock = groups.group(2)
        except (AttributeError, IndexError):
            sock = u""

        runtime = loads(str(msg.message).replace(u' ', u'').replace(u'\n', u'').
                        replace(u"'", u'"').replace(u'b"', u'"').
                        replace(u'u"', u'"').split(u":", 1)[1])

        try:
            threads_nr = len(runtime[0][u"clocks"])
        except (IndexError, KeyError):
            return

        dut = u"DUT{nr}".format(
            nr=len(self._data[u'tests'][self._test_id][u'show-run'].keys()) + 1)

        oper = {
            u"host": host,
            u"socket": sock,
            u"threads": OrderedDict({idx: list() for idx in range(threads_nr)})
        }

        for item in runtime:
            for idx in range(threads_nr):
                if item[u"vectors"][idx] > 0:
                    clocks = item[u"clocks"][idx] / item[u"vectors"][idx]
                elif item[u"calls"][idx] > 0:
                    clocks = item[u"clocks"][idx] / item[u"calls"][idx]
                elif item[u"suspends"][idx] > 0:
                    clocks = item[u"clocks"][idx] / item[u"suspends"][idx]
                else:
                    clocks = 0.0

                if item[u"calls"][idx] > 0:
                    vectors_call = item[u"vectors"][idx] / item[u"calls"][idx]
                else:
                    vectors_call = 0.0

                if int(item[u"calls"][idx]) + int(item[u"vectors"][idx]) + \
                        int(item[u"suspends"][idx]):
                    oper[u"threads"][idx].append([
                        item[u"name"],
                        item[u"calls"][idx],
                        item[u"vectors"][idx],
                        item[u"suspends"][idx],
                        clocks,
                        vectors_call
                    ])

        self._data[u'tests'][self._test_id][u'show-run'][dut] = copy.copy(oper)

    def _get_ndrpdr_throughput(self, msg):
        """Get NDR_LOWER, NDR_UPPER, PDR_LOWER and PDR_UPPER from the test
        message.

        :param msg: The test message to be parsed.
        :type msg: str
        :returns: Parsed data as a dict and the status (PASS/FAIL).
        :rtype: tuple(dict, str)
        """

        throughput = {
            u"NDR": {u"LOWER": -1.0, u"UPPER": -1.0},
            u"PDR": {u"LOWER": -1.0, u"UPPER": -1.0}
        }
        status = u"FAIL"
        groups = re.search(self.REGEX_NDRPDR_RATE, msg)

        if groups is not None:
            try:
                throughput[u"NDR"][u"LOWER"] = float(groups.group(1))
                throughput[u"NDR"][u"UPPER"] = float(groups.group(2))
                throughput[u"PDR"][u"LOWER"] = float(groups.group(3))
                throughput[u"PDR"][u"UPPER"] = float(groups.group(4))
                status = u"PASS"
            except (IndexError, ValueError):
                pass

        return throughput, status

    def _get_plr_throughput(self, msg):
        """Get PLRsearch lower bound and PLRsearch upper bound from the test
        message.

        :param msg: The test message to be parsed.
        :type msg: str
        :returns: Parsed data as a dict and the status (PASS/FAIL).
        :rtype: tuple(dict, str)
        """

        throughput = {
            u"LOWER": -1.0,
            u"UPPER": -1.0
        }
        status = u"FAIL"
        groups = re.search(self.REGEX_PLR_RATE, msg)

        if groups is not None:
            try:
                throughput[u"LOWER"] = float(groups.group(1))
                throughput[u"UPPER"] = float(groups.group(2))
                status = u"PASS"
            except (IndexError, ValueError):
                pass

        return throughput, status

    def _get_ndrpdr_latency(self, msg):
        """Get LATENCY from the test message.

        :param msg: The test message to be parsed.
        :type msg: str
        :returns: Parsed data as a dict and the status (PASS/FAIL).
        :rtype: tuple(dict, str)
        """
        latency_default = {
            u"min": -1.0,
            u"avg": -1.0,
            u"max": -1.0,
            u"hdrh": u""
        }
        latency = {
            u"NDR": {
                u"direction1": copy.copy(latency_default),
                u"direction2": copy.copy(latency_default)
            },
            u"PDR": {
                u"direction1": copy.copy(latency_default),
                u"direction2": copy.copy(latency_default)
            },
            u"LAT0": {
                u"direction1": copy.copy(latency_default),
                u"direction2": copy.copy(latency_default)
            },
            u"PDR10": {
                u"direction1": copy.copy(latency_default),
                u"direction2": copy.copy(latency_default)
            },
            u"PDR50": {
                u"direction1": copy.copy(latency_default),
                u"direction2": copy.copy(latency_default)
            },
            u"PDR90": {
                u"direction1": copy.copy(latency_default),
                u"direction2": copy.copy(latency_default)
            },
        }

        # TODO: Rewrite when long and base are not needed
        groups = re.search(self.REGEX_NDRPDR_LAT_LONG, msg)
        if groups is None:
            groups = re.search(self.REGEX_NDRPDR_LAT, msg)
        if groups is None:
            groups = re.search(self.REGEX_NDRPDR_LAT_BASE, msg)
        if groups is None:
            return latency, u"FAIL"

        def process_latency(in_str):
            """Return object with parsed latency values.

            TODO: Define class for the return type.

            :param in_str: Input string, min/avg/max/hdrh format.
            :type in_str: str
            :returns: Dict with corresponding keys, except hdrh float values.
            :rtype dict:
            :throws IndexError: If in_str does not have enough substrings.
            :throws ValueError: If a substring does not convert to float.
            """
            in_list = in_str.split('/', 3)

            rval = {
                u"min": float(in_list[0]),
                u"avg": float(in_list[1]),
                u"max": float(in_list[2]),
                u"hdrh": u""
            }

            if len(in_list) == 4:
                rval[u"hdrh"] = str(in_list[3])

            return rval

        try:
            latency[u"NDR"][u"direction1"] = process_latency(groups.group(1))
            latency[u"NDR"][u"direction2"] = process_latency(groups.group(2))
            latency[u"PDR"][u"direction1"] = process_latency(groups.group(3))
            latency[u"PDR"][u"direction2"] = process_latency(groups.group(4))
            if groups.lastindex == 4:
                return latency, u"PASS"
        except (IndexError, ValueError):
            pass

        try:
            latency[u"PDR90"][u"direction1"] = process_latency(groups.group(5))
            latency[u"PDR90"][u"direction2"] = process_latency(groups.group(6))
            latency[u"PDR50"][u"direction1"] = process_latency(groups.group(7))
            latency[u"PDR50"][u"direction2"] = process_latency(groups.group(8))
            latency[u"PDR10"][u"direction1"] = process_latency(groups.group(9))
            latency[u"PDR10"][u"direction2"] = process_latency(groups.group(10))
            latency[u"LAT0"][u"direction1"] = process_latency(groups.group(11))
            latency[u"LAT0"][u"direction2"] = process_latency(groups.group(12))
            if groups.lastindex == 12:
                return latency, u"PASS"
        except (IndexError, ValueError):
            pass

        # TODO: Remove when not needed
        latency[u"NDR10"] = {
            u"direction1": copy.copy(latency_default),
            u"direction2": copy.copy(latency_default)
        }
        latency[u"NDR50"] = {
            u"direction1": copy.copy(latency_default),
            u"direction2": copy.copy(latency_default)
        }
        latency[u"NDR90"] = {
            u"direction1": copy.copy(latency_default),
            u"direction2": copy.copy(latency_default)
        }
        try:
            latency[u"LAT0"][u"direction1"] = process_latency(groups.group(5))
            latency[u"LAT0"][u"direction2"] = process_latency(groups.group(6))
            latency[u"NDR10"][u"direction1"] = process_latency(groups.group(7))
            latency[u"NDR10"][u"direction2"] = process_latency(groups.group(8))
            latency[u"NDR50"][u"direction1"] = process_latency(groups.group(9))
            latency[u"NDR50"][u"direction2"] = process_latency(groups.group(10))
            latency[u"NDR90"][u"direction1"] = process_latency(groups.group(11))
            latency[u"NDR90"][u"direction2"] = process_latency(groups.group(12))
            latency[u"PDR10"][u"direction1"] = process_latency(groups.group(13))
            latency[u"PDR10"][u"direction2"] = process_latency(groups.group(14))
            latency[u"PDR50"][u"direction1"] = process_latency(groups.group(15))
            latency[u"PDR50"][u"direction2"] = process_latency(groups.group(16))
            latency[u"PDR90"][u"direction1"] = process_latency(groups.group(17))
            latency[u"PDR90"][u"direction2"] = process_latency(groups.group(18))
            return latency, u"PASS"
        except (IndexError, ValueError):
            pass

        return latency, u"FAIL"

    def visit_suite(self, suite):
        """Implements traversing through the suite and its direct children.

        :param suite: Suite to process.
        :type suite: Suite
        :returns: Nothing.
        """
        if self.start_suite(suite) is not False:
            suite.suites.visit(self)
            suite.tests.visit(self)
            self.end_suite(suite)

    def start_suite(self, suite):
        """Called when suite starts.

        :param suite: Suite to process.
        :type suite: Suite
        :returns: Nothing.
        """

        try:
            parent_name = suite.parent.name
        except AttributeError:
            return

        doc_str = suite.doc.\
            replace(u'"', u"'").\
            replace(u'\n', u' ').\
            replace(u'\r', u'').\
            replace(u'*[', u' |br| *[').\
            replace(u"*", u"**").\
            replace(u' |br| *[', u'*[', 1)

        self._data[u"suites"][suite.longname.lower().
                              replace(u'"', u"'").
                              replace(u" ", u"_")] = {
                                  u"name": suite.name.lower(),
                                  u"doc": doc_str,
                                  u"parent": parent_name,
                                  u"level": len(suite.longname.split(u"."))
                              }

        suite.keywords.visit(self)

    def end_suite(self, suite):
        """Called when suite ends.

        :param suite: Suite to process.
        :type suite: Suite
        :returns: Nothing.
        """

    def visit_test(self, test):
        """Implements traversing through the test.

        :param test: Test to process.
        :type test: Test
        :returns: Nothing.
        """
        if self.start_test(test) is not False:
            test.keywords.visit(self)
            self.end_test(test)

    def start_test(self, test):
        """Called when test starts.

        :param test: Test to process.
        :type test: Test
        :returns: Nothing.
        """

        longname_orig = test.longname.lower()

        # Check the ignore list
        if longname_orig in self._ignore:
            return

        tags = [str(tag) for tag in test.tags]
        test_result = dict()

        # Change the TC long name and name if defined in the mapping table
        longname = self._mapping.get(longname_orig, None)
        if longname is not None:
            name = longname.split(u'.')[-1]
            logging.debug(
                f"{self._data[u'metadata']}\n{longname_orig}\n{longname}\n"
                f"{name}"
            )
        else:
            longname = longname_orig
            name = test.name.lower()

        # Remove TC number from the TC long name (backward compatibility):
        self._test_id = re.sub(self.REGEX_TC_NUMBER, u"", longname)
        # Remove TC number from the TC name (not needed):
        test_result[u"name"] = re.sub(self.REGEX_TC_NUMBER, "", name)

        test_result[u"parent"] = test.parent.name.lower()
        test_result[u"tags"] = tags
        test_result["doc"] = test.doc.\
            replace(u'"', u"'").\
            replace(u'\n', u' ').\
            replace(u'\r', u'').\
            replace(u'[', u' |br| [').\
            replace(u' |br| [', u'[', 1)
        test_result[u"msg"] = self._get_data_from_perf_test_msg(test.message).\
            replace(u'\n', u' |br| ').\
            replace(u'\r', u'').\
            replace(u'"', u"'")
        test_result[u"type"] = u"FUNC"
        test_result[u"status"] = test.status

        if u"PERFTEST" in tags:
            # Replace info about cores (e.g. -1c-) with the info about threads
            # and cores (e.g. -1t1c-) in the long test case names and in the
            # test case names if necessary.
            groups = re.search(self.REGEX_TC_NAME_OLD, self._test_id)
            if not groups:
                tag_count = 0
                tag_tc = str()
                for tag in test_result[u"tags"]:
                    groups = re.search(self.REGEX_TC_TAG, tag)
                    if groups:
                        tag_count += 1
                        tag_tc = tag

                if tag_count == 1:
                    self._test_id = re.sub(self.REGEX_TC_NAME_NEW,
                                           f"-{tag_tc.lower()}-",
                                           self._test_id,
                                           count=1)
                    test_result[u"name"] = re.sub(self.REGEX_TC_NAME_NEW,
                                                  f"-{tag_tc.lower()}-",
                                                  test_result["name"],
                                                  count=1)
                else:
                    test_result[u"status"] = u"FAIL"
                    self._data[u"tests"][self._test_id] = test_result
                    logging.debug(
                        f"The test {self._test_id} has no or more than one "
                        f"multi-threading tags.\n"
                        f"Tags: {test_result[u'tags']}"
                    )
                    return

        if test.status == u"PASS":
            if u"NDRPDR" in tags:
                test_result[u"type"] = u"NDRPDR"
                test_result[u"throughput"], test_result[u"status"] = \
                    self._get_ndrpdr_throughput(test.message)
                test_result[u"latency"], test_result[u"status"] = \
                    self._get_ndrpdr_latency(test.message)
            elif u"SOAK" in tags:
                test_result[u"type"] = u"SOAK"
                test_result[u"throughput"], test_result[u"status"] = \
                    self._get_plr_throughput(test.message)
            elif u"TCP" in tags:
                test_result[u"type"] = u"TCP"
                groups = re.search(self.REGEX_TCP, test.message)
                test_result[u"result"] = int(groups.group(2))
            elif u"MRR" in tags or u"FRMOBL" in tags or u"BMRR" in tags:
                if u"MRR" in tags:
                    test_result[u"type"] = u"MRR"
                else:
                    test_result[u"type"] = u"BMRR"

                test_result[u"result"] = dict()
                groups = re.search(self.REGEX_BMRR, test.message)
                if groups is not None:
                    items_str = groups.group(1)
                    items_float = [float(item.strip()) for item
                                   in items_str.split(",")]
                    # Use whole list in CSIT-1180.
                    stats = jumpavg.AvgStdevStats.for_runs(items_float)
                    test_result[u"result"][u"receive-rate"] = stats.avg
                else:
                    groups = re.search(self.REGEX_MRR, test.message)
                    test_result[u"result"][u"receive-rate"] = \
                        float(groups.group(3)) / float(groups.group(1))
            elif u"RECONF" in tags:
                test_result[u"type"] = u"RECONF"
                test_result[u"result"] = None
                try:
                    grps_loss = re.search(self.REGEX_RECONF_LOSS, test.message)
                    grps_time = re.search(self.REGEX_RECONF_TIME, test.message)
                    test_result[u"result"] = {
                        u"loss": int(grps_loss.group(1)),
                        u"time": float(grps_time.group(1))
                    }
                except (AttributeError, IndexError, ValueError, TypeError):
                    test_result[u"status"] = u"FAIL"
            else:
                test_result[u"status"] = u"FAIL"
                self._data[u"tests"][self._test_id] = test_result
                return

        self._data[u"tests"][self._test_id] = test_result

    def end_test(self, test):
        """Called when test ends.

        :param test: Test to process.
        :type test: Test
        :returns: Nothing.
        """

    def visit_keyword(self, keyword):
        """Implements traversing through the keyword and its child keywords.

        :param keyword: Keyword to process.
        :type keyword: Keyword
        :returns: Nothing.
        """
        if self.start_keyword(keyword) is not False:
            self.end_keyword(keyword)

    def start_keyword(self, keyword):
        """Called when keyword starts. Default implementation does nothing.

        :param keyword: Keyword to process.
        :type keyword: Keyword
        :returns: Nothing.
        """
        try:
            if keyword.type == u"setup":
                self.visit_setup_kw(keyword)
            elif keyword.type == u"teardown":
                self.visit_teardown_kw(keyword)
            else:
                self.visit_test_kw(keyword)
        except AttributeError:
            pass

    def end_keyword(self, keyword):
        """Called when keyword ends. Default implementation does nothing.

        :param keyword: Keyword to process.
        :type keyword: Keyword
        :returns: Nothing.
        """

    def visit_test_kw(self, test_kw):
        """Implements traversing through the test keyword and its child
        keywords.

        :param test_kw: Keyword to process.
        :type test_kw: Keyword
        :returns: Nothing.
        """
        for keyword in test_kw.keywords:
            if self.start_test_kw(keyword) is not False:
                self.visit_test_kw(keyword)
                self.end_test_kw(keyword)

    def start_test_kw(self, test_kw):
        """Called when test keyword starts. Default implementation does
        nothing.

        :param test_kw: Keyword to process.
        :type test_kw: Keyword
        :returns: Nothing.
        """
        if test_kw.name.count(u"Show Runtime On All Duts") or \
                test_kw.name.count(u"Show Runtime Counters On All Duts"):
            self._msg_type = u"test-show-runtime"
        elif test_kw.name.count(u"Install Dpdk Test") and not self._version:
            self._msg_type = u"dpdk-version"
        else:
            return
        test_kw.messages.visit(self)

    def end_test_kw(self, test_kw):
        """Called when keyword ends. Default implementation does nothing.

        :param test_kw: Keyword to process.
        :type test_kw: Keyword
        :returns: Nothing.
        """

    def visit_setup_kw(self, setup_kw):
        """Implements traversing through the teardown keyword and its child
        keywords.

        :param setup_kw: Keyword to process.
        :type setup_kw: Keyword
        :returns: Nothing.
        """
        for keyword in setup_kw.keywords:
            if self.start_setup_kw(keyword) is not False:
                self.visit_setup_kw(keyword)
                self.end_setup_kw(keyword)

    def start_setup_kw(self, setup_kw):
        """Called when teardown keyword starts. Default implementation does
        nothing.

        :param setup_kw: Keyword to process.
        :type setup_kw: Keyword
        :returns: Nothing.
        """
        if setup_kw.name.count(u"Show Vpp Version On All Duts") \
                and not self._version:
            self._msg_type = u"vpp-version"
        elif setup_kw.name.count(u"Set Global Variable") \
                and not self._timestamp:
            self._msg_type = u"timestamp"
        elif setup_kw.name.count(u"Setup Framework") and not self._testbed:
            self._msg_type = u"testbed"
        else:
            return
        setup_kw.messages.visit(self)

    def end_setup_kw(self, setup_kw):
        """Called when keyword ends. Default implementation does nothing.

        :param setup_kw: Keyword to process.
        :type setup_kw: Keyword
        :returns: Nothing.
        """

    def visit_teardown_kw(self, teardown_kw):
        """Implements traversing through the teardown keyword and its child
        keywords.

        :param teardown_kw: Keyword to process.
        :type teardown_kw: Keyword
        :returns: Nothing.
        """
        for keyword in teardown_kw.keywords:
            if self.start_teardown_kw(keyword) is not False:
                self.visit_teardown_kw(keyword)
                self.end_teardown_kw(keyword)

    def start_teardown_kw(self, teardown_kw):
        """Called when teardown keyword starts

        :param teardown_kw: Keyword to process.
        :type teardown_kw: Keyword
        :returns: Nothing.
        """

        if teardown_kw.name.count(u"Show Vat History On All Duts"):
            # TODO: Remove when not needed:
            self._conf_history_lookup_nr = 0
            self._msg_type = u"teardown-vat-history"
            teardown_kw.messages.visit(self)
        elif teardown_kw.name.count(u"Show Papi History On All Duts"):
            self._conf_history_lookup_nr = 0
            self._msg_type = u"teardown-papi-history"
            teardown_kw.messages.visit(self)

    def end_teardown_kw(self, teardown_kw):
        """Called when keyword ends. Default implementation does nothing.

        :param teardown_kw: Keyword to process.
        :type teardown_kw: Keyword
        :returns: Nothing.
        """

    def visit_message(self, msg):
        """Implements visiting the message.

        :param msg: Message to process.
        :type msg: Message
        :returns: Nothing.
        """
        if self.start_message(msg) is not False:
            self.end_message(msg)

    def start_message(self, msg):
        """Called when message starts. Get required information from messages:
        - VPP version.

        :param msg: Message to process.
        :type msg: Message
        :returns: Nothing.
        """

        if self._msg_type:
            self.parse_msg[self._msg_type](msg)

    def end_message(self, msg):
        """Called when message ends. Default implementation does nothing.

        :param msg: Message to process.
        :type msg: Message
        :returns: Nothing.
        """


class InputData:
    """Input data

    The data is extracted from output.xml files generated by Jenkins jobs and
    stored in pandas' DataFrames.

    The data structure:
    - job name
      - build number
        - metadata
          (as described in ExecutionChecker documentation)
        - suites
          (as described in ExecutionChecker documentation)
        - tests
          (as described in ExecutionChecker documentation)
    """

    def __init__(self, spec):
        """Initialization.

        :param spec: Specification.
        :type spec: Specification
        """

        # Specification:
        self._cfg = spec

        # Data store:
        self._input_data = pd.Series()

    @property
    def data(self):
        """Getter - Input data.

        :returns: Input data
        :rtype: pandas.Series
        """
        return self._input_data

    def metadata(self, job, build):
        """Getter - metadata

        :param job: Job which metadata we want.
        :param build: Build which metadata we want.
        :type job: str
        :type build: str
        :returns: Metadata
        :rtype: pandas.Series
        """

        return self.data[job][build][u"metadata"]

    def suites(self, job, build):
        """Getter - suites

        :param job: Job which suites we want.
        :param build: Build which suites we want.
        :type job: str
        :type build: str
        :returns: Suites.
        :rtype: pandas.Series
        """

        return self.data[job][str(build)][u"suites"]

    def tests(self, job, build):
        """Getter - tests

        :param job: Job which tests we want.
        :param build: Build which tests we want.
        :type job: str
        :type build: str
        :returns: Tests.
        :rtype: pandas.Series
        """

        return self.data[job][build][u"tests"]

    def _parse_tests(self, job, build, log):
        """Process data from robot output.xml file and return JSON structured
        data.

        :param job: The name of job which build output data will be processed.
        :param build: The build which output data will be processed.
        :param log: List of log messages.
        :type job: str
        :type build: dict
        :type log: list of tuples (severity, msg)
        :returns: JSON data structure.
        :rtype: dict
        """

        metadata = {
            u"job": job,
            u"build": build
        }

        with open(build[u"file-name"], u'r') as data_file:
            try:
                result = ExecutionResult(data_file)
            except errors.DataError as err:
                log.append(
                    (u"ERROR", f"Error occurred while parsing output.xml: "
                               f"{repr(err)}")
                )
                return None
        checker = ExecutionChecker(metadata, self._cfg.mapping,
                                   self._cfg.ignore)
        result.visit(checker)

        return checker.data

    def _download_and_parse_build(self, job, build, repeat, pid=10000):
        """Download and parse the input data file.

        :param pid: PID of the process executing this method.
        :param job: Name of the Jenkins job which generated the processed input
            file.
        :param build: Information about the Jenkins build which generated the
            processed input file.
        :param repeat: Repeat the download specified number of times if not
            successful.
        :type pid: int
        :type job: str
        :type build: dict
        :type repeat: int
        """

        logs = list()

        logs.append(
            (u"INFO", f"  Processing the job/build: {job}: {build[u'build']}")
        )

        state = u"failed"
        success = False
        data = None
        do_repeat = repeat
        while do_repeat:
            success = download_and_unzip_data_file(self._cfg, job, build, pid,
                                                   logs)
            if success:
                break
            do_repeat -= 1
        if not success:
            logs.append(
                (u"ERROR",
                 f"It is not possible to download the input data file from the "
                 f"job {job}, build {build[u'build']}, or it is damaged. "
                 f"Skipped.")
            )
        if success:
            logs.append(
                (u"INFO",
                 f"    Processing data from the build {build[u'build']} ...")
            )
            data = self._parse_tests(job, build, logs)
            if data is None:
                logs.append(
                    (u"ERROR",
                     f"Input data file from the job {job}, build "
                     f"{build[u'build']} is damaged. Skipped.")
                )
            else:
                state = u"processed"

            try:
                remove(build[u"file-name"])
            except OSError as err:
                logs.append(
                    ("ERROR", f"Cannot remove the file {build[u'file-name']}: "
                              f"{repr(err)}")
                )

        # If the time-period is defined in the specification file, remove all
        # files which are outside the time period.
        timeperiod = self._cfg.input.get(u"time-period", None)
        if timeperiod and data:
            now = dt.utcnow()
            timeperiod = timedelta(int(timeperiod))
            metadata = data.get(u"metadata", None)
            if metadata:
                generated = metadata.get(u"generated", None)
                if generated:
                    generated = dt.strptime(generated, u"%Y%m%d %H:%M")
                    if (now - generated) > timeperiod:
                        # Remove the data and the file:
                        state = u"removed"
                        data = None
                        logs.append(
                            (u"INFO",
                             f"    The build {job}/{build[u'build']} is "
                             f"outdated, will be removed.")
                        )
        logs.append((u"INFO", u"  Done."))

        for level, line in logs:
            if level == u"INFO":
                logging.info(line)
            elif level == u"ERROR":
                logging.error(line)
            elif level == u"DEBUG":
                logging.debug(line)
            elif level == u"CRITICAL":
                logging.critical(line)
            elif level == u"WARNING":
                logging.warning(line)

        return {u"data": data, u"state": state, u"job": job, u"build": build}

    def download_and_parse_data(self, repeat=1):
        """Download the input data files, parse input data from input files and
        store in pandas' Series.

        :param repeat: Repeat the download specified number of times if not
            successful.
        :type repeat: int
        """

        logging.info(u"Downloading and parsing input files ...")

        for job, builds in self._cfg.builds.items():
            for build in builds:

                result = self._download_and_parse_build(job, build, repeat)
                build_nr = result[u"build"][u"build"]

                if result[u"data"]:
                    data = result[u"data"]
                    build_data = pd.Series({
                        u"metadata": pd.Series(
                            list(data[u"metadata"].values()),
                            index=list(data[u"metadata"].keys())
                        ),
                        u"suites": pd.Series(
                            list(data[u"suites"].values()),
                            index=list(data[u"suites"].keys())
                        ),
                        u"tests": pd.Series(
                            list(data[u"tests"].values()),
                            index=list(data[u"tests"].keys())
                        )
                    })

                    if self._input_data.get(job, None) is None:
                        self._input_data[job] = pd.Series()
                    self._input_data[job][str(build_nr)] = build_data

                    self._cfg.set_input_file_name(
                        job, build_nr, result[u"build"][u"file-name"])

                self._cfg.set_input_state(job, build_nr, result[u"state"])

                mem_alloc = \
                    resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1000
                logging.info(f"Memory allocation: {mem_alloc:.0f}MB")

        logging.info(u"Done.")

    @staticmethod
    def _end_of_tag(tag_filter, start=0, closer=u"'"):
        """Return the index of character in the string which is the end of tag.

        :param tag_filter: The string where the end of tag is being searched.
        :param start: The index where the searching is stated.
        :param closer: The character which is the tag closer.
        :type tag_filter: str
        :type start: int
        :type closer: str
        :returns: The index of the tag closer.
        :rtype: int
        """

        try:
            idx_opener = tag_filter.index(closer, start)
            return tag_filter.index(closer, idx_opener + 1)
        except ValueError:
            return None

    @staticmethod
    def _condition(tag_filter):
        """Create a conditional statement from the given tag filter.

        :param tag_filter: Filter based on tags from the element specification.
        :type tag_filter: str
        :returns: Conditional statement which can be evaluated.
        :rtype: str
        """

        index = 0
        while True:
            index = InputData._end_of_tag(tag_filter, index)
            if index is None:
                return tag_filter
            index += 1
            tag_filter = tag_filter[:index] + u" in tags" + tag_filter[index:]

    def filter_data(self, element, params=None, data=None, data_set=u"tests",
                    continue_on_error=False):
        """Filter required data from the given jobs and builds.

        The output data structure is:

        - job 1
          - build 1
            - test (or suite) 1 ID:
              - param 1
              - param 2
              ...
              - param n
            ...
            - test (or suite) n ID:
            ...
          ...
          - build n
        ...
        - job n

        :param element: Element which will use the filtered data.
        :param params: Parameters which will be included in the output. If None,
            all parameters are included.
        :param data: If not None, this data is used instead of data specified
            in the element.
        :param data_set: The set of data to be filtered: tests, suites,
            metadata.
        :param continue_on_error: Continue if there is error while reading the
            data. The Item will be empty then
        :type element: pandas.Series
        :type params: list
        :type data: dict
        :type data_set: str
        :type continue_on_error: bool
        :returns: Filtered data.
        :rtype pandas.Series
        """

        try:
            if data_set == "suites":
                cond = u"True"
            elif element[u"filter"] in (u"all", u"template"):
                cond = u"True"
            else:
                cond = InputData._condition(element[u"filter"])
            logging.debug(f"   Filter: {cond}")
        except KeyError:
            logging.error(u"  No filter defined.")
            return None

        if params is None:
            params = element.get(u"parameters", None)
            if params:
                params.append(u"type")

        data_to_filter = data if data else element[u"data"]
        data = pd.Series()
        try:
            for job, builds in data_to_filter.items():
                data[job] = pd.Series()
                for build in builds:
                    data[job][str(build)] = pd.Series()
                    try:
                        data_dict = dict(
                            self.data[job][str(build)][data_set].items())
                    except KeyError:
                        if continue_on_error:
                            continue
                        return None

                    for test_id, test_data in data_dict.items():
                        if eval(cond, {u"tags": test_data.get(u"tags", u"")}):
                            data[job][str(build)][test_id] = pd.Series()
                            if params is None:
                                for param, val in test_data.items():
                                    data[job][str(build)][test_id][param] = val
                            else:
                                for param in params:
                                    try:
                                        data[job][str(build)][test_id][param] =\
                                            test_data[param]
                                    except KeyError:
                                        data[job][str(build)][test_id][param] =\
                                            u"No Data"
            return data

        except (KeyError, IndexError, ValueError) as err:
            logging.error(
                f"Missing mandatory parameter in the element specification: "
                f"{repr(err)}"
            )
            return None
        except AttributeError as err:
            logging.error(repr(err))
            return None
        except SyntaxError as err:
            logging.error(
                f"The filter {cond} is not correct. Check if all tags are "
                f"enclosed by apostrophes.\n{repr(err)}"
            )
            return None

    def filter_tests_by_name(self, element, params=None, data_set=u"tests",
                             continue_on_error=False):
        """Filter required data from the given jobs and builds.

        The output data structure is:

        - job 1
          - build 1
            - test (or suite) 1 ID:
              - param 1
              - param 2
              ...
              - param n
            ...
            - test (or suite) n ID:
            ...
          ...
          - build n
        ...
        - job n

        :param element: Element which will use the filtered data.
        :param params: Parameters which will be included in the output. If None,
        all parameters are included.
        :param data_set: The set of data to be filtered: tests, suites,
        metadata.
        :param continue_on_error: Continue if there is error while reading the
        data. The Item will be empty then
        :type element: pandas.Series
        :type params: list
        :type data_set: str
        :type continue_on_error: bool
        :returns: Filtered data.
        :rtype pandas.Series
        """

        include = element.get(u"include", None)
        if not include:
            logging.warning(u"No tests to include, skipping the element.")
            return None

        if params is None:
            params = element.get(u"parameters", None)
            if params:
                params.append(u"type")

        data = pd.Series()
        try:
            for job, builds in element[u"data"].items():
                data[job] = pd.Series()
                for build in builds:
                    data[job][str(build)] = pd.Series()
                    for test in include:
                        try:
                            reg_ex = re.compile(str(test).lower())
                            for test_id in self.data[job][
                                    str(build)][data_set].keys():
                                if re.match(reg_ex, str(test_id).lower()):
                                    test_data = self.data[job][
                                        str(build)][data_set][test_id]
                                    data[job][str(build)][test_id] = pd.Series()
                                    if params is None:
                                        for param, val in test_data.items():
                                            data[job][str(build)][test_id]\
                                                [param] = val
                                    else:
                                        for param in params:
                                            try:
                                                data[job][str(build)][
                                                    test_id][param] = \
                                                    test_data[param]
                                            except KeyError:
                                                data[job][str(build)][
                                                    test_id][param] = u"No Data"
                        except KeyError as err:
                            logging.error(repr(err))
                            if continue_on_error:
                                continue
                            return None
            return data

        except (KeyError, IndexError, ValueError) as err:
            logging.error(
                f"Missing mandatory parameter in the element "
                f"specification: {repr(err)}"
            )
            return None
        except AttributeError as err:
            logging.error(repr(err))
            return None

    @staticmethod
    def merge_data(data):
        """Merge data from more jobs and builds to a simple data structure.

        The output data structure is:

        - test (suite) 1 ID:
          - param 1
          - param 2
          ...
          - param n
        ...
        - test (suite) n ID:
        ...

        :param data: Data to merge.
        :type data: pandas.Series
        :returns: Merged data.
        :rtype: pandas.Series
        """

        logging.info(u"    Merging data ...")

        merged_data = pd.Series()
        for builds in data.values:
            for item in builds.values:
                for item_id, item_data in item.items():
                    merged_data[item_id] = item_data

        return merged_data

    def print_all_oper_data(self):
        """Print all operational data to console.
        """

        tbl_hdr = (
            u"Name",
            u"Nr of Vectors",
            u"Nr of Packets",
            u"Suspends",
            u"Cycles per Packet",
            u"Average Vector Size"
        )

        for job in self._input_data.values:
            for build in job.values:
                for test_id, test_data in build[u"tests"].items():
                    print(f"{test_id}")
                    if test_data.get(u"show-run", None) is None:
                        continue
                    for dut_name, data in test_data[u"show-run"].items():
                        if data.get(u"threads", None) is None:
                            continue
                        print(f"Host IP: {data.get(u'host', '')}, "
                              f"Socket: {data.get(u'socket', '')}")
                        for thread_nr, thread in data[u"threads"].items():
                            txt_table = prettytable.PrettyTable(tbl_hdr)
                            avg = 0.0
                            for row in thread:
                                txt_table.add_row(row)
                                avg += row[-1]
                            if len(thread) == 0:
                                avg = u""
                            else:
                                avg = f", Average Vector Size per Node: " \
                                      f"{(avg / len(thread)):.2f}"
                            th_name = u"main" if thread_nr == 0 \
                                else f"worker_{thread_nr}"
                            print(f"{dut_name}, {th_name}{avg}")
                            txt_table.float_format = u".2"
                            txt_table.align = u"r"
                            txt_table.align[u"Name"] = u"l"
                            print(f"{txt_table.get_string()}\n")