aboutsummaryrefslogtreecommitdiffstats
path: root/resources/tools/presentation/utils.py
blob: 966d7f558b17ce554ef5bdc999641db01bc4cde8 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
# Copyright (c) 2017 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.

"""General purpose utilities.
"""

import subprocess
import numpy as np
import pandas as pd
import logging

from os import walk, makedirs, environ
from os.path import join, isdir
from shutil import copy, Error
from math import sqrt

from errors import PresentationError


def mean(items):
    """Calculate mean value from the items.

    :param items: Mean value is calculated from these items.
    :type items: list
    :returns: MEan value.
    :rtype: float
    """

    return float(sum(items)) / len(items)


def stdev(items):
    """Calculate stdev from the items.

    :param items: Stdev is calculated from these items.
    :type items: list
    :returns: Stdev.
    :rtype: float
    """

    avg = mean(items)
    variance = [(x - avg) ** 2 for x in items]
    stddev = sqrt(mean(variance))
    return stddev


def relative_change(nr1, nr2):
    """Compute relative change of two values.

    :param nr1: The first number.
    :param nr2: The second number.
    :type nr1: float
    :type nr2: float
    :returns: Relative change of nr1.
    :rtype: float
    """

    return float(((nr2 - nr1) / nr1) * 100)


def find_outliers(input_data, outlier_const=1.5):
    """Go through the input data and generate two pandas series:
    - input data without outliers
    - outliers.
    The function uses IQR to detect outliers.

    :param input_data: Data to be examined for outliers.
    :param outlier_const: Outlier constant.
    :type input_data: pandas.Series
    :type outlier_const: float
    :returns: Tuple: input data with outliers removed; Outliers.
    :rtype: tuple (trimmed_data, outliers)
    """

    upper_quartile = input_data.quantile(q=0.75)
    lower_quartile = input_data.quantile(q=0.25)
    iqr = (upper_quartile - lower_quartile) * outlier_const
    low = lower_quartile - iqr
    high = upper_quartile + iqr
    trimmed_data = pd.Series()
    outliers = pd.Series()
    for item in input_data.items():
        item_pd = pd.Series([item[1], ], index=[item[0], ])
        if low <= item[1] <= high:
            trimmed_data = trimmed_data.append(item_pd)
        else:
            trimmed_data = trimmed_data.append(pd.Series([np.nan, ],
                                                         index=[item[0], ]))
            outliers = outliers.append(item_pd)

    return trimmed_data, outliers


def get_files(path, extension=None, full_path=True):
    """Generates the list of files to process.

    :param path: Path to files.
    :param extension: Extension of files to process. If it is the empty string,
    all files will be processed.
    :param full_path: If True, the files with full path are generated.
    :type path: str
    :type extension: str
    :type full_path: bool
    :returns: List of files to process.
    :rtype: list
    """

    file_list = list()
    for root, _, files in walk(path):
        for filename in files:
            if extension:
                if filename.endswith(extension):
                    if full_path:
                        file_list.append(join(root, filename))
                    else:
                        file_list.append(filename)
            else:
                file_list.append(join(root, filename))

    return file_list


def get_rst_title_char(level):
    """Return character used for the given title level in rst files.

    :param level: Level of the title.
    :type: int
    :returns: Character used for the given title level in rst files.
    :rtype: str
    """
    chars = ('=', '-', '`', "'", '.', '~', '*', '+', '^')
    if level < len(chars):
        return chars[level]
    else:
        return chars[-1]


def execute_command(cmd):
    """Execute the command in a subprocess and log the stdout and stderr.

    :param cmd: Command to execute.
    :type cmd: str
    :returns: Return code of the executed command.
    :rtype: int
    """

    env = environ.copy()
    proc = subprocess.Popen(
        [cmd],
        stdout=subprocess.PIPE,
        stderr=subprocess.PIPE,
        shell=True,
        env=env)

    stdout, stderr = proc.communicate()

    logging.info(stdout)
    logging.info(stderr)

    if proc.returncode != 0:
        logging.error("    Command execution failed.")
    return proc.returncode, stdout, stderr


def get_last_build_number(jenkins_url, job_name):
    """

    :param jenkins_url:
    :param job_name:
    :return:
    """

    url = "{}/{}/lastSuccessfulBuild/buildNumber".format(jenkins_url, job_name)
    cmd = "wget -qO- {url}".format(url=url)

    return execute_command(cmd)


def archive_input_data(spec):
    """Archive the report.

    :param spec: Specification read from the specification file.
    :type spec: Specification
    :raises PresentationError: If it is not possible to archive the input data.
    """

    logging.info("    Archiving the input data files ...")

    if spec.is_debug:
        extension = spec.debug["input-format"]
    else:
        extension = spec.input["file-format"]
    data_files = get_files(spec.environment["paths"]["DIR[WORKING,DATA]"],
                           extension=extension)
    dst = spec.environment["paths"]["DIR[STATIC,ARCH]"]
    logging.info("      Destination: {0}".format(dst))

    try:
        if not isdir(dst):
            makedirs(dst)

        for data_file in data_files:
            logging.info("      Copying the file: {0} ...".format(data_file))
            copy(data_file, dst)

    except (Error, OSError) as err:
        raise PresentationError("Not possible to archive the input data.",
                                str(err))

    logging.info("    Done.")