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

# Copyright (c) 2018 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 multiprocessing
import os
import re
import pandas as pd
import logging

from robot.api import ExecutionResult, ResultVisitor
from robot import errors
from collections import OrderedDict
from string import replace
from os import remove
from jumpavg.AvgStdevMetadataFactory import AvgStdevMetadataFactory

from input_data_files import download_and_unzip_data_file
from utils import Worker


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": {
            "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": "PDR" | "NDR" | "TCP" | "MRR" | "BMRR",
                "throughput": {  # Only type: "PDR" | "NDR"
                    "value": int,
                    "unit": "pps" | "bps" | "percentage"
                },
                "latency": {  # Only type: "PDR" | "NDR"
                    "direction1": {
                        "100": {
                            "min": int,
                            "avg": int,
                            "max": int
                        },
                        "50": {  # Only for NDR
                            "min": int,
                            "avg": int,
                            "max": int
                        },
                        "10": {  # Only for NDR
                            "min": int,
                            "avg": int,
                            "max": int
                        }
                    },
                    "direction2": {
                        "100": {
                            "min": int,
                            "avg": int,
                            "max": int
                        },
                        "50": {  # Only for NDR
                            "min": int,
                            "avg": int,
                            "max": int
                        },
                        "10": {  # Only for NDR
                            "min": int,
                            "avg": int,
                            "max": int
                        }
                    }
                },
                "result": {  # Only type: "TCP"
                    "value": int,
                    "unit": "cps" | "rps"
                },
                "result": {  # Only type: "MRR" | "BMRR"
                    "receive-rate": AvgStdevMetadata,
                },
                "lossTolerance": "lossTolerance",  # Only type: "PDR"
                "vat-history": "DUT1 and DUT2 VAT History"
                "show-run": "Show Run"
            },
            "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"],
                "vat-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_RATE = re.compile(r'^[\D\d]*FINAL_RATE:\s(\d+\.\d+)\s(\w+)')

    REGEX_LAT_NDR = re.compile(r'^[\D\d]*'
                               r'LAT_\d+%NDR:\s\[\'(-?\d+/-?\d+/-?\d+)\','
                               r'\s\'(-?\d+/-?\d+/-?\d+)\'\]\s\n'
                               r'LAT_\d+%NDR:\s\[\'(-?\d+/-?\d+/-?\d+)\','
                               r'\s\'(-?\d+/-?\d+/-?\d+)\'\]\s\n'
                               r'LAT_\d+%NDR:\s\[\'(-?\d+/-?\d+/-?\d+)\','
                               r'\s\'(-?\d+/-?\d+/-?\d+)\'\]')

    REGEX_LAT_PDR = re.compile(r'^[\D\d]*'
                               r'LAT_\d+%PDR:\s\[\'(-?\d+/-?\d+/-?\d+)\','
                               r'\s\'(-?\d+/-?\d+/-?\d+)\'\][\D\d]*')

    REGEX_TOLERANCE = re.compile(r'^[\D\d]*LOSS_ACCEPTANCE:\s(\d*\.\d*)\s'
                                 r'[\D\d]*')

    REGEX_VERSION_VPP = re.compile(r"(return STDOUT Version:\s*)(.*)")

    REGEX_VERSION_DPDK = re.compile(r"(return STDOUT testpmd)([\d\D\n]*)"
                                    r"(RTE Version: 'DPDK )(.*)(')")

    REGEX_TCP = re.compile(r'Total\s(rps|cps|throughput):\s([0-9]*).*$')

    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 Results \[(.*)\]')

    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]-')

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

        :param metadata: Key-value pairs to be included in "metadata" part of
        JSON structure.
        :type metadata: dict
        """

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

        # VPP version
        self._version = None

        # Timestamp
        self._timestamp = None

        # Number of VAT History messages found:
        # 0 - no message
        # 1 - VAT History of DUT1
        # 2 - VAT History of DUT2
        self._lookup_kw_nr = 0
        self._vat_history_lookup_nr = 0

        # Number of Show Running messages found
        # 0 - no message
        # 1 - Show run message found
        self._show_run_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 = {
            "metadata": OrderedDict(),
            "suites": OrderedDict(),
            "tests": OrderedDict()
        }

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

        # Dictionary defining the methods used to parse different types of
        # messages
        self.parse_msg = {
            "timestamp": self._get_timestamp,
            "vpp-version": self._get_vpp_version,
            "dpdk-version": self._get_dpdk_version,
            "teardown-vat-history": self._get_vat_history,
            "test-show-runtime": self._get_show_run
        }

    @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_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("return STDOUT Version:"):
            self._version = str(re.search(self.REGEX_VERSION_VPP, msg.message).
                                group(2))
            self._data["metadata"]["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("return STDOUT testpmd"):
            try:
                self._version = str(re.search(
                    self.REGEX_VERSION_DPDK, msg.message). group(4))
                self._data["metadata"]["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["metadata"]["generated"] = self._timestamp
        self._msg_type = None

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

        :param msg: Message to process.
        :type msg: Message
        :returns: Nothing.
        """
        if msg.message.count("VAT command history:"):
            self._vat_history_lookup_nr += 1
            if self._vat_history_lookup_nr == 1:
                self._data["tests"][self._test_ID]["vat-history"] = str()
            else:
                self._msg_type = None
            text = re.sub("[0-9]{1,3}.[0-9]{1,3}.[0-9]{1,3}.[0-9]{1,3} "
                          "VAT command history:", "", msg.message, count=1). \
                replace("\n\n", "\n").replace('\n', ' |br| ').\
                replace('\r', '').replace('"', "'")

            self._data["tests"][self._test_ID]["vat-history"] += " |br| "
            self._data["tests"][self._test_ID]["vat-history"] += \
                "**DUT" + str(self._vat_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 msg.message.count("return STDOUT Thread "):
            self._show_run_lookup_nr += 1
            if self._lookup_kw_nr == 1 and self._show_run_lookup_nr == 1:
                self._data["tests"][self._test_ID]["show-run"] = str()
            if self._lookup_kw_nr > 1:
                self._msg_type = None
            if self._show_run_lookup_nr == 1:
                text = msg.message.replace("vat# ", "").\
                    replace("return STDOUT ", "").replace("\n\n", "\n").\
                    replace('\n', ' |br| ').\
                    replace('\r', '').replace('"', "'")
                try:
                    self._data["tests"][self._test_ID]["show-run"] += " |br| "
                    self._data["tests"][self._test_ID]["show-run"] += \
                        "**DUT" + str(self._lookup_kw_nr) + ":** |br| " + text
                except KeyError:
                    pass

    def _get_latency(self, msg, test_type):
        """Get the latency data from the test message.

        :param msg: Message to be parsed.
        :param test_type: Type of the test - NDR or PDR.
        :type msg: str
        :type test_type: str
        :returns: Latencies parsed from the message.
        :rtype: dict
        """

        if test_type == "NDR":
            groups = re.search(self.REGEX_LAT_NDR, msg)
            groups_range = range(1, 7)
        elif test_type == "PDR":
            groups = re.search(self.REGEX_LAT_PDR, msg)
            groups_range = range(1, 3)
        else:
            return {}

        latencies = list()
        for idx in groups_range:
            try:
                lat = [int(item) for item in str(groups.group(idx)).split('/')]
            except (AttributeError, ValueError):
                lat = [-1, -1, -1]
            latencies.append(lat)

        keys = ("min", "avg", "max")
        latency = {
            "direction1": {
            },
            "direction2": {
            }
        }

        latency["direction1"]["100"] = dict(zip(keys, latencies[0]))
        latency["direction2"]["100"] = dict(zip(keys, latencies[1]))
        if test_type == "NDR":
            latency["direction1"]["50"] = dict(zip(keys, latencies[2]))
            latency["direction2"]["50"] = dict(zip(keys, latencies[3]))
            latency["direction1"]["10"] = dict(zip(keys, latencies[4]))
            latency["direction2"]["10"] = dict(zip(keys, latencies[5]))

        return latency

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

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

        suite.keywords.visit(self)

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

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

    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.
        """

        tags = [str(tag) for tag in test.tags]
        test_result = dict()
        test_result["name"] = test.name.lower()
        test_result["parent"] = test.parent.name.lower()
        test_result["tags"] = tags
        doc_str = test.doc.replace('"', "'").replace('\n', ' '). \
            replace('\r', '').replace('[', ' |br| [')
        test_result["doc"] = replace(doc_str, ' |br| [', '[', maxreplace=1)
        test_result["msg"] = test.message.replace('\n', ' |br| '). \
            replace('\r', '').replace('"', "'")
        test_result["status"] = test.status
        if test.status == "PASS" and ("NDRPDRDISC" in tags or
                                      "TCP" in tags or
                                      "MRR" in tags or
                                      "BMRR" in tags):
            if "NDRDISC" in tags:
                test_type = "NDR"
            elif "PDRDISC" in tags:
                test_type = "PDR"
            elif "TCP" in tags:
                test_type = "TCP"
            elif "MRR" in tags:
                test_type = "MRR"
            elif "FRMOBL" in tags or "BMRR" in tags:
                test_type = "BMRR"
            else:
                return

            test_result["type"] = test_type

            if test_type in ("NDR", "PDR"):
                try:
                    rate_value = str(re.search(
                        self.REGEX_RATE, test.message).group(1))
                except AttributeError:
                    rate_value = "-1"
                try:
                    rate_unit = str(re.search(
                        self.REGEX_RATE, test.message).group(2))
                except AttributeError:
                    rate_unit = "-1"

                test_result["throughput"] = dict()
                test_result["throughput"]["value"] = \
                    int(rate_value.split('.')[0])
                test_result["throughput"]["unit"] = rate_unit
                test_result["latency"] = \
                    self._get_latency(test.message, test_type)
                if test_type == "PDR":
                    test_result["lossTolerance"] = str(re.search(
                        self.REGEX_TOLERANCE, test.message).group(1))

            elif test_type in ("TCP", ):
                groups = re.search(self.REGEX_TCP, test.message)
                test_result["result"] = dict()
                test_result["result"]["value"] = int(groups.group(2))
                test_result["result"]["unit"] = groups.group(1)

            elif test_type in ("MRR", "BMRR"):
                test_result["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(",")]
                    test_result["result"]["receive-rate"] = \
                        AvgStdevMetadataFactory.from_data(items_float)
                else:
                    groups = re.search(self.REGEX_MRR, test.message)
                    test_result["result"]["receive-rate"] = \
                        AvgStdevMetadataFactory.from_data([
                            float(groups.group(3)) / float(groups.group(1)), ])

        self._test_ID = test.longname.lower()
        self._data["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.
        """
        pass

    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 == "setup":
                self.visit_setup_kw(keyword)
            elif keyword.type == "teardown":
                self._lookup_kw_nr = 0
                self.visit_teardown_kw(keyword)
            else:
                self._lookup_kw_nr = 0
                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.
        """
        pass

    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("Show Runtime Counters On All Duts"):
            self._lookup_kw_nr += 1
            self._show_run_lookup_nr = 0
            self._msg_type = "test-show-runtime"
        elif test_kw.name.count("Start The L2fwd Test") and not self._version:
            self._msg_type = "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.
        """
        pass

    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("Show Vpp Version On All Duts") \
                and not self._version:
            self._msg_type = "vpp-version"

        elif setup_kw.name.count("Setup performance global Variables") \
                and not self._timestamp:
            self._msg_type = "timestamp"
        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.
        """
        pass

    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. Default implementation does
        nothing.

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

        if teardown_kw.name.count("Show Vat History On All Duts"):
            self._vat_history_lookup_nr = 0
            self._msg_type = "teardown-vat-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.
        """
        pass

    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.
        """
        pass


class InputData(object):
    """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]["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)]["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]["tests"]

    @staticmethod
    def _parse_tests(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 = {
            "job": job,
            "build": build
        }

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

        return checker.data

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

        :param pid: PID of the process executing this method.
        :param data_queue: Shared memory between processes. Queue which keeps
            the result data. This data is then read by the main process and used
            in further processing.
        :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 data_queue: multiprocessing.Manager().Queue()
        :type job: str
        :type build: dict
        :type repeat: int
        """

        logs = list()

        logging.info("  Processing the job/build: {0}: {1}".
                     format(job, build["build"]))

        logs.append(("INFO", "  Processing the job/build: {0}: {1}".
                     format(job, build["build"])))

        state = "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(("ERROR", "It is not possible to download the input "
                                  "data file from the job '{job}', build "
                                  "'{build}', or it is damaged. Skipped.".
                         format(job=job, build=build["build"])))
        if success:
            logs.append(("INFO", "  Processing data from the build '{0}' ...".
                         format(build["build"])))
            data = InputData._parse_tests(job, build, logs)
            if data is None:
                logs.append(("ERROR", "Input data file from the job '{job}', "
                                      "build '{build}' is damaged. Skipped.".
                             format(job=job, build=build["build"])))
            else:
                state = "processed"

            try:
                remove(build["file-name"])
            except OSError as err:
                logs.append(("ERROR", "Cannot remove the file '{0}': {1}".
                             format(build["file-name"], err)))
        logs.append(("INFO", "  Done."))

        result = {
            "data": data,
            "state": state,
            "job": job,
            "build": build,
            "logs": logs
        }
        data_queue.put(result)

    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("Downloading and parsing input files ...")

        work_queue = multiprocessing.JoinableQueue()
        manager = multiprocessing.Manager()
        data_queue = manager.Queue()
        cpus = multiprocessing.cpu_count()

        workers = list()
        for cpu in range(cpus):
            worker = Worker(work_queue,
                            data_queue,
                            self._download_and_parse_build)
            worker.daemon = True
            worker.start()
            workers.append(worker)
            os.system("taskset -p -c {0} {1} > /dev/null 2>&1".
                      format(cpu, worker.pid))

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

        work_queue.join()

        logging.info("Done.")

        while not data_queue.empty():
            result = data_queue.get()

            job = result["job"]
            build_nr = result["build"]["build"]

            if result["data"]:
                data = result["data"]
                build_data = pd.Series({
                    "metadata": pd.Series(data["metadata"].values(),
                                          index=data["metadata"].keys()),
                    "suites": pd.Series(data["suites"].values(),
                                        index=data["suites"].keys()),
                    "tests": pd.Series(data["tests"].values(),
                                       index=data["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["build"]["file-name"])

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

            for item in result["logs"]:
                if item[0] == "INFO":
                    logging.info(item[1])
                elif item[0] == "ERROR":
                    logging.error(item[1])
                elif item[0] == "DEBUG":
                    logging.debug(item[1])
                elif item[0] == "CRITICAL":
                    logging.critical(item[1])
                elif item[0] == "WARNING":
                    logging.warning(item[1])

        del data_queue

        # Terminate all workers
        for worker in workers:
            worker.terminate()
            worker.join()

        logging.info("Done.")

    @staticmethod
    def _end_of_tag(tag_filter, start=0, closer="'"):
        """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] + " in tags" + tag_filter[index:]

    def filter_data(self, element, params=None, data_set="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
        """

        try:
            if element["filter"] in ("all", "template"):
                cond = "True"
            else:
                cond = InputData._condition(element["filter"])
            logging.debug("   Filter: {0}".format(cond))
        except KeyError:
            logging.error("  No filter defined.")
            return None

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

        data = pd.Series()
        try:
            for job, builds in element["data"].items():
                data[job] = pd.Series()
                for build in builds:
                    data[job][str(build)] = pd.Series()
                    try:
                        data_iter = self.data[job][str(build)][data_set].\
                            iteritems()
                    except KeyError:
                        if continue_on_error:
                            continue
                        else:
                            return None
                    for test_ID, test_data in data_iter:
                        if eval(cond, {"tags": test_data.get("tags", "")}):
                            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] =\
                                            "No Data"
            return data

        except (KeyError, IndexError, ValueError) as err:
            logging.error("   Missing mandatory parameter in the element "
                          "specification: {0}".format(err))
            return None
        except AttributeError:
            return None
        except SyntaxError:
            logging.error("   The filter '{0}' is not correct. Check if all "
                          "tags are enclosed by apostrophes.".format(cond))
            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("    Merging data ...")

        merged_data = pd.Series()
        for _, builds in data.iteritems():
            for _, item in builds.iteritems():
                for ID, item_data in item.iteritems():
                    merged_data[ID] = item_data

        return merged_data