do_gnuplot_stats() - Code Metrics - Inspection of "Refactoring do_gnuplot_stats() function." - dupgit/flexlm_analysis - Measure and Improve Code Quality continuously with Scrutinizer

Completed

Push — master ( a9bfcb...cd893d )

by dup

created 2017-06-09 20:43 UTC

do_gnuplot_stats() B

↳ Parent: Project

Complexity

Conditions

Size

Total Lines

Duplication

Lines	0
Ratio	0 %

Importance

Changes	2
Bugs	0	Features	0

Metric	Value
cc	4
c	2
b	0
f	0
dl	0
loc	31
rs	8.5806

#!/usr/bin/env python
# -*- coding: utf8 -*-
#
#  flexlm_analysis.py : Script to analyse flexlm log files
#
#  (C) Copyright 2013i - 2017 Olivier Delhomme
#  e-mail : [email protected]
#
#  This program is free software; you can redistribute it and/or modify
#  it under the terms of the GNU General Public License as published by
#  the Free Software Foundation; either version 2, or (at your option)
#  any later version.
#
#  This program is distributed in the hope that it will be useful,
#  but WITHOUT ANY WARRANTY; without even the implied warranty of
#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
#  GNU General Public License for more details.
#
#  You should have received a copy of the GNU General Public License
#  along with this program; if not, write to the Free Software Foundation,
#  Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
#

import argparse
import re
import gzip


class Options:
    """
    A class to manage command line options
    """

    files = []           # file list that we will read looking for entries
    out = 'None'         # Character string to choose which output we want:
                         # 'stat' or 'gnuplot'
    image = 'image.png'  # Image name to be included in the gnuplot script
    description = {}
    options = None

    def __init__(self):
        """
        Inits the class
        """
        self.files = []
        self.out = 'None'
        self.image = 'image.png'
        self.description = {}
        self.options = None

        self._get_command_line_arguments()

    # End of init() function


    def _get_command_line_arguments(self):
        """
        Defines and gets all the arguments for the command line using
        argparse module. This function is called in the __init__ function
        of this class.
        """
        str_version = 'flexlm_analysis'

        parser = argparse.ArgumentParser(description='Script to analyse flexlm log files.', version=str_version)

        parser.add_argument('-i', '--image', action='store', dest='image', help='Tells the image name the gnuplot script may generate', default='image.png')
        parser.add_argument('-g', '--gnuplot', action='store_true', dest='gnuplot', help='Outputs a gnuplot script that can be executed later to generate an image about the usage', default=False)
        parser.add_argument('-s', '--stats', action='store_true', dest='stats', help='Outputs some stats about the use of the modules as stated in the log file', default=False)
        parser.add_argument('files', metavar='Files', type=str, nargs='+', help='Log files to be parsed')

        self.options = parser.parse_args()

        if self.options.gnuplot:
            self.out = 'gnuplot'

        if self.options.stats:
            self.out = 'stat'

        self.image = self.options.image
        self.files = self.options.files

    # End of get_command_line_arguments() function
# End of Options class


def read_files(files):
    """Matches lines in the files and returns the number of days in use and a
    list of the following tuple : (date, time, state, module, user, machine).
    """

# 8:21:20 (lmgrd) FLEXnet Licensing (v10.8.0 build 18869) started on MACHINE (IBM PC) (7/30/2012)

    result_list = []
    nb_days = 0
    date_matched = False

    # Reading each file here, one after the other.
    for a_file in files:

        # Openning the files with gzip if they end with .gz, in normal mode
        # if not. Do we need bz2 ? May be we should do this with a magic number
        if '.gz' in a_file:
            inode = gzip.open(a_file, 'r')
        else:
            inode = open(a_file, 'r')

        date = '??/??/????'  # Some unknown date
        old_date = ''

        for line in inode:
            # Looking for some patterns in the file

            if date_matched is False:
                # Look for the line below to guess the starting date (here : 2012/7/30)
                # 8:21:20 (lmgrd) FLEXnet Licensing (v10.8.0 build 18869) started on MACHINE (IBM PC) (7/30/2012)
                res = re.match(r'\ ?\d+:\d+:\d+ .+ \((\d+)/(\d+)/(\d+)\)', line)
                if res:
                    # Formating like this : year/month/day
                    date = '%s/%s/%s' % (res.group(3), res.group(1), res.group(2))
                    date_matched = True

            # 11:50:22 (orglab) OUT: "Origin7" user@MACHINE-NAME
            res = re.match(r'\ ?(\d+:\d+:\d+) .+ (\w+): "(.+)" (\w+)@(.+)', line)
            if res:
                # I put the results in variables for clarity
                time = res.group(1)
                state = res.group(2)
                module = res.group(3)
                user = res.group(4)
                machine = res.group(5)
                result_list.append((date, time, state, module, user, machine))
            else:
                # Trying this patern instead :
                # 20:52:29 (lmgrd) TIMESTAMP 1/23/2012
                res = re.match(r'\ ?\d+:\d+:\d+ .+ TIMESTAMP (\d+)\/(\d+)\/(\d+)', line)
                if res:
                    # Formating like this : year/month/day
                    date = '%s/%s/%s' % (res.group(3), res.group(1), res.group(2))
                    if date != old_date:
                        nb_days = nb_days + 1
                        old_date = date

        inode.close()

    # Returning the total number of days seen in the log file and the
    # list containing all tuples
    return (nb_days, result_list)

# End of read_files() function


def get_stats_from_module(stats, module_list, module):
    """Returns the tuple corresponding to the module
    from stats dictionary and takes care to create one
    if its a new module.
    """

    if module not in module_list:
        module_list.append(module)
        stats[module] = (0, 999999999999, '', -1, 0, 0)

    return stats[module]

# End of get_stats_from_module() function


def count_users_upon_state(state, nb_users, total_use):
    """Counts the maximum number of users and the number
    of usage made upon the state of the license IN or OUT
    Returns updated nb_users and total_use in a tuple
    """

    if state.lower() == 'out':
        nb_users = nb_users + 1
        total_use = total_use + 1

    elif state.lower() == 'in':
        nb_users = nb_users - 1

    return (nb_users, total_use)

# End of count_users_upon_state() function


def get_min_max_users(nb_users, min_users, max_users, date, max_day):
    """Gets the maximum and the minimum users usage
    Returns updated (or not) min_users, max_users and
    max_day in a tuple
    """

    if nb_users > 0 and nb_users > max_users:
        max_users = nb_users
        max_day = date

    elif nb_users > 0 and nb_users < min_users:
        min_users = nb_users

    return (min_users, max_users, max_day)

# End of get_min_max_users() function


def do_some_stats(result_list):
    """Here we do some stats and fill a dictionnary of stats that will
    contain all stats per module ie one tuple containing the following :
    (max_users, min_users, max_day, nb_users, total_use, nb_days).

    Returns a dictionnary of statistics and a list of module that has stats.
    """

    old_date = 'XXXXXXX'  # A value that does not exists
    # nb_days = 0           # Total number of days of use

    module_list = []
    stats = dict()  # Tuple dictionnary : (max_users, min_users, max_day, nb_users, total_use, nb_days)

    for data in result_list:
        (date, time, state, module, user, machine) = data

        # Retrieving usage values for a specific module
        (max_users, min_users, max_day, nb_users, total_use, nb_days) = get_stats_from_module(stats, module_list, module)

        # Calculating statistics
        if date != old_date:

            if nb_users < 0:
                nb_users = 1

            nb_days = nb_days + 1
            old_date = date

        (nb_users, total_use) = count_users_upon_state(state, nb_users, total_use)
        (min_users, max_users, max_day) = get_min_max_users(nb_users, min_users, max_users, date, max_day)

        # Saving the new values into the corresponding module
        stats[module] = (max_users, min_users, max_day, nb_users, total_use, nb_days)

    return (stats, module_list)

# End of do_some_stats function


def print_stats(nb_days, stats, name_list):
    """Prints the stats module per module to the screen.
    """

    for name in name_list:
        (max_users, min_users, max_day, nb_users, total_use, nb_use_days) = stats[name]

        print('Module %s :' % name)
        print(' Number of users per day :')
        print('  max : %d (%s)' % (max_users, max_day))

        if (nb_use_days > 0):
            print('  avg : %d' % (total_use/nb_use_days))

        print('  min : %d' % min_users)

        print(' Total number of use : %d' % total_use)
        print(' Number of days used : %d / %d' % (nb_use_days, nb_days))
        print('')  # Fancier things

# End of print_stats function


def output_stats(nb_days, result_list):
    """Does some stats on the result list and prints them on the screen.
    """

    (stats, name_list) = do_some_stats(result_list)
    print_stats(nb_days, stats, name_list)

# End of output_stats


def init_use_upon_state(state):
    """Inits use variable upon the first state we
    encounter. We normally should only encounter
    a OUT state but it might not be the case in
    real life so a IN state fixes use at 0.
    """

    if state.lower() == 'out':
        use = 1
    elif state.lower == 'in':
        use = 0

    return use

# End of init_use_upon_state() function


def update_use_value_upon_state(state, use):
    """updates use variable upon state content:
    OUT adds a usage an IN removes a usage.
    """

    if state.lower() == 'out':
        use = use + 1
    elif state.lower() == 'in':
        use = use - 1

    return use

# End of update_use_value_upon_state() function


def do_gnuplot_stats(result_list):
    """Here we do some gnuplot style stats in order to draw an image of the
    evolution of the use of the modules.

    event_list contains the date, time and number of used licenses in reverse
    chronological order.
    """

    module_list = []
    stats = dict()

    for data in result_list:
        (date, time, state, module, user, machine) = data

        if module not in module_list:
            module_list.append(module)
            stats[module] = []   # Creating an empty list of tuples for this new module.

        event_list = stats[module]

        if event_list == []:
            use = init_use_upon_state(state)

        else:
            (some_date, some_time, use) = event_list[0]  # retrieving the last 'use' value to update it
            use = update_use_value_upon_state(state, use)

        event_list.insert(0, (date, time, use))  # Prepending to the list
        stats[module] = event_list

    return (stats, module_list)

# End of do_some_stats function


def print_gnuplot(image_name, nb_days, stats, module_list):
    """Writing the data files and the gnuplot script.
    """

    # Generating the gnuplot script
    gnuplot_file = open('gnuplot.script', 'w')

    gnuplot_file.write('set key right\n')
    gnuplot_file.write('set grid\n')
    gnuplot_file.write('set title "FlexLm"\n')
    gnuplot_file.write('set xdata time\n')
    gnuplot_file.write('set timefmt "%Y/%m/%d %H:%M:%S"\n')
    gnuplot_file.write('set format x "%Y/%m/%d %H:%M:%S"\n')
    gnuplot_file.write('set xlabel "Date"\n')
    gnuplot_file.write('set ylabel "Nombre d\'executions"\n')
    gnuplot_file.write('set output "%s"\n' % image_name)
    gnuplot_file.write('set style line 1 lw 1\n')
    gnuplot_file.write('set terminal png size %d,1024\n' % (24*nb_days))
    gnuplot_file.write('plot ')

    first_line = True

    # Generating data files. Their names are based upon the module name being analysed
    for m in module_list:
        dat_filename = '%s.dat' % m
        dat_file = open(dat_filename, 'w')

        if first_line:
            gnuplot_file.write('"%s" using 1:3 title "%s" with lines' % (dat_filename, m))
            first_line = False
        else:
            gnuplot_file.write(', \\\n"%s" using 1:3 title "%s" with lines' % (dat_filename, m))

        event_list = stats[m]
        event_list.reverse()  # We have to reverse the list as we prepended elements

        for event in event_list:
            (date, time, use) = event
            dat_file.write('%s %s %d\n' % (date, time, use))

        dat_file.close()

# End of print_gnuplot() function


def output_gnuplot(image_name, nb_days, result_list):
    """Does some stats and outputs them into some data files and a gnuplot script
    that one might run later.
    """

    (stats, module_list) = do_gnuplot_stats(result_list)
    print_gnuplot(image_name, nb_days, stats, module_list)

# End of output_gnuplot() function


def main():
    """Here we choose what to do upon the command line's options.
    """

    # Parsing options
    my_opts = Options()

    (nb_days, result_list) = read_files(my_opts.files)

    if len(result_list) > 1:

        if my_opts.out == 'stat':
            output_stats(nb_days, result_list)

        # We do not want to generate an image if the number of day usage is less than one !
        elif my_opts.out == 'gnuplot' and nb_days > 0:
            output_gnuplot(my_opts.image, nb_days, result_list)

if __name__ == "__main__":
    main()


1			#!/usr/bin/env python
2			# -- coding: utf8 --
3			#
4			# flexlm_analysis.py : Script to analyse flexlm log files
5			#
6			# (C) Copyright 2013i - 2017 Olivier Delhomme
7			# e-mail : [email protected]
8			#
9			# This program is free software; you can redistribute it and/or modify
10			# it under the terms of the GNU General Public License as published by
11			# the Free Software Foundation; either version 2, or (at your option)
12			# any later version.
13			#
14			# This program is distributed in the hope that it will be useful,
15			# but WITHOUT ANY WARRANTY; without even the implied warranty of
16			# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
17			# GNU General Public License for more details.
18			#
19			# You should have received a copy of the GNU General Public License
20			# along with this program; if not, write to the Free Software Foundation,
21			# Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
22			#
23
24			import argparse
25			import re
26			import gzip
27
28
29			class Options:
30			"""
31			A class to manage command line options
32			"""
33
34			files = [] # file list that we will read looking for entries
35			out = 'None' # Character string to choose which output we want:
36			# 'stat' or 'gnuplot'
37			image = 'image.png' # Image name to be included in the gnuplot script
38			description = {}
39			options = None
40
41			def __init__(self):
42			"""
43			Inits the class
44			"""
45			self.files = []
46			self.out = 'None'
47			self.image = 'image.png'
48			self.description = {}
49			self.options = None
50
51			self._get_command_line_arguments()
52
53			# End of init() function
54
55
56			def _get_command_line_arguments(self):
57			"""
58			Defines and gets all the arguments for the command line using
59			argparse module. This function is called in the __init__ function
60			of this class.
61			"""
62			str_version = 'flexlm_analysis'
63
64			parser = argparse.ArgumentParser(description='Script to analyse flexlm log files.', version=str_version)
65
66			parser.add_argument('-i', '--image', action='store', dest='image', help='Tells the image name the gnuplot script may generate', default='image.png')
67			parser.add_argument('-g', '--gnuplot', action='store_true', dest='gnuplot', help='Outputs a gnuplot script that can be executed later to generate an image about the usage', default=False)
68			parser.add_argument('-s', '--stats', action='store_true', dest='stats', help='Outputs some stats about the use of the modules as stated in the log file', default=False)
69			parser.add_argument('files', metavar='Files', type=str, nargs='+', help='Log files to be parsed')
70
71			self.options = parser.parse_args()
72
73			if self.options.gnuplot:
74			self.out = 'gnuplot'
75
76			if self.options.stats:
77			self.out = 'stat'
78
79			self.image = self.options.image
80			self.files = self.options.files
81
82			# End of get_command_line_arguments() function
83			# End of Options class
84
85
86			def read_files(files):
87			"""Matches lines in the files and returns the number of days in use and a
88			list of the following tuple : (date, time, state, module, user, machine).
89			"""
90
91			# 8:21:20 (lmgrd) FLEXnet Licensing (v10.8.0 build 18869) started on MACHINE (IBM PC) (7/30/2012)
92
93			result_list = []
94			nb_days = 0
95			date_matched = False
96
97			# Reading each file here, one after the other.
98			for a_file in files:
99
100			# Openning the files with gzip if they end with .gz, in normal mode
101			# if not. Do we need bz2 ? May be we should do this with a magic number
102			if '.gz' in a_file:
103			inode = gzip.open(a_file, 'r')
104			else:
105			inode = open(a_file, 'r')
106
107			date = '??/??/????' # Some unknown date
108			old_date = ''
109
110			for line in inode:
111			# Looking for some patterns in the file
112
113			if date_matched is False:
114			# Look for the line below to guess the starting date (here : 2012/7/30)
115			# 8:21:20 (lmgrd) FLEXnet Licensing (v10.8.0 build 18869) started on MACHINE (IBM PC) (7/30/2012)
116			res = re.match(r'\ ?\d+:\d+:\d+ .+ \((\d+)/(\d+)/(\d+)\)', line)
117			if res:
118			# Formating like this : year/month/day
119			date = '%s/%s/%s' % (res.group(3), res.group(1), res.group(2))
120			date_matched = True
121
122			# 11:50:22 (orglab) OUT: "Origin7" user@MACHINE-NAME
123			res = re.match(r'\ ?(\d+:\d+:\d+) .+ (\w+): "(.+)" (\w+)@(.+)', line)
124			if res:
125			# I put the results in variables for clarity
126			time = res.group(1)
127			state = res.group(2)
128			module = res.group(3)
129			user = res.group(4)
130			machine = res.group(5)
131			result_list.append((date, time, state, module, user, machine))
132			else:
133			# Trying this patern instead :
134			# 20:52:29 (lmgrd) TIMESTAMP 1/23/2012
135			res = re.match(r'\ ?\d+:\d+:\d+ .+ TIMESTAMP (\d+)\/(\d+)\/(\d+)', line)
136			if res:
137			# Formating like this : year/month/day
138			date = '%s/%s/%s' % (res.group(3), res.group(1), res.group(2))
139			if date != old_date:
140			nb_days = nb_days + 1
141			old_date = date
142
143			inode.close()
144
145			# Returning the total number of days seen in the log file and the
146			# list containing all tuples
147			return (nb_days, result_list)
148
149			# End of read_files() function
150
151
152			def get_stats_from_module(stats, module_list, module):
153			"""Returns the tuple corresponding to the module
154			from stats dictionary and takes care to create one
155			if its a new module.
156			"""
157
158			if module not in module_list:
159			module_list.append(module)
160			stats[module] = (0, 999999999999, '', -1, 0, 0)
161
162			return stats[module]
163
164			# End of get_stats_from_module() function
165
166
167			def count_users_upon_state(state, nb_users, total_use):
168			"""Counts the maximum number of users and the number
169			of usage made upon the state of the license IN or OUT
170			Returns updated nb_users and total_use in a tuple
171			"""
172
173			if state.lower() == 'out':
174			nb_users = nb_users + 1
175			total_use = total_use + 1
176
177			elif state.lower() == 'in':
178			nb_users = nb_users - 1
179
180			return (nb_users, total_use)
181
182			# End of count_users_upon_state() function
183
184
185			def get_min_max_users(nb_users, min_users, max_users, date, max_day):
186			"""Gets the maximum and the minimum users usage
187			Returns updated (or not) min_users, max_users and
188			max_day in a tuple
189			"""
190
191			if nb_users > 0 and nb_users > max_users:
192			max_users = nb_users
193			max_day = date
194
195			elif nb_users > 0 and nb_users < min_users:
196			min_users = nb_users
197
198			return (min_users, max_users, max_day)
199
200			# End of get_min_max_users() function
201
202
203			def do_some_stats(result_list):
204			"""Here we do some stats and fill a dictionnary of stats that will
205			contain all stats per module ie one tuple containing the following :
206			(max_users, min_users, max_day, nb_users, total_use, nb_days).
207
208			Returns a dictionnary of statistics and a list of module that has stats.
209			"""
210
211			old_date = 'XXXXXXX' # A value that does not exists
212			# nb_days = 0 # Total number of days of use
213
214			module_list = []
215			stats = dict() # Tuple dictionnary : (max_users, min_users, max_day, nb_users, total_use, nb_days)
216
217			for data in result_list:
218			(date, time, state, module, user, machine) = data
219
220			# Retrieving usage values for a specific module
221			(max_users, min_users, max_day, nb_users, total_use, nb_days) = get_stats_from_module(stats, module_list, module)
222
223			# Calculating statistics
224			if date != old_date:
225
226			if nb_users < 0:
227			nb_users = 1
228
229			nb_days = nb_days + 1
230			old_date = date
231
232			(nb_users, total_use) = count_users_upon_state(state, nb_users, total_use)
233			(min_users, max_users, max_day) = get_min_max_users(nb_users, min_users, max_users, date, max_day)
234
235			# Saving the new values into the corresponding module
236			stats[module] = (max_users, min_users, max_day, nb_users, total_use, nb_days)
237
238			return (stats, module_list)
239
240			# End of do_some_stats function
241
242
243			def print_stats(nb_days, stats, name_list):
244			"""Prints the stats module per module to the screen.
245			"""
246
247			for name in name_list:
248			(max_users, min_users, max_day, nb_users, total_use, nb_use_days) = stats[name]
249
250			print('Module %s :' % name)
251			print(' Number of users per day :')
252			print(' max : %d (%s)' % (max_users, max_day))
253
254			if (nb_use_days > 0):
255			print(' avg : %d' % (total_use/nb_use_days))
256
257			print(' min : %d' % min_users)
258
259			print(' Total number of use : %d' % total_use)
260			print(' Number of days used : %d / %d' % (nb_use_days, nb_days))
261			print('') # Fancier things
262
263			# End of print_stats function
264
265
266			def output_stats(nb_days, result_list):
267			"""Does some stats on the result list and prints them on the screen.
268			"""
269
270			(stats, name_list) = do_some_stats(result_list)
271			print_stats(nb_days, stats, name_list)
272
273			# End of output_stats
274
275
276			def init_use_upon_state(state):
277			"""Inits use variable upon the first state we
278			encounter. We normally should only encounter
279			a OUT state but it might not be the case in
280			real life so a IN state fixes use at 0.
281			"""
282
283			if state.lower() == 'out':
284			use = 1
285			elif state.lower == 'in':
286			use = 0
287
288			return use
289
290			# End of init_use_upon_state() function
291
292
293			def update_use_value_upon_state(state, use):
294			"""updates use variable upon state content:
295			OUT adds a usage an IN removes a usage.
296			"""
297
298			if state.lower() == 'out':
299			use = use + 1
300			elif state.lower() == 'in':
301			use = use - 1
302
303			return use
304
305			# End of update_use_value_upon_state() function
306
307
308			def do_gnuplot_stats(result_list):
309			"""Here we do some gnuplot style stats in order to draw an image of the
310			evolution of the use of the modules.
311
312			event_list contains the date, time and number of used licenses in reverse
313			chronological order.
314			"""
315
316			module_list = []
317			stats = dict()
318
319			for data in result_list:
320			(date, time, state, module, user, machine) = data
321
322			if module not in module_list:
323			module_list.append(module)
324			stats[module] = [] # Creating an empty list of tuples for this new module.
325
326			event_list = stats[module]
327
328			if event_list == []:
329			use = init_use_upon_state(state)
330
331			else:
332			(some_date, some_time, use) = event_list[0] # retrieving the last 'use' value to update it
333			use = update_use_value_upon_state(state, use)
334
335			event_list.insert(0, (date, time, use)) # Prepending to the list
336			stats[module] = event_list
337
338			return (stats, module_list)
339
340			# End of do_some_stats function
341
342
343			def print_gnuplot(image_name, nb_days, stats, module_list):
344			"""Writing the data files and the gnuplot script.
345			"""
346
347			# Generating the gnuplot script
348			gnuplot_file = open('gnuplot.script', 'w')
349
350			gnuplot_file.write('set key right\n')
351			gnuplot_file.write('set grid\n')
352			gnuplot_file.write('set title "FlexLm"\n')
353			gnuplot_file.write('set xdata time\n')
354			gnuplot_file.write('set timefmt "%Y/%m/%d %H:%M:%S"\n')
355			gnuplot_file.write('set format x "%Y/%m/%d %H:%M:%S"\n')
356			gnuplot_file.write('set xlabel "Date"\n')
357			gnuplot_file.write('set ylabel "Nombre d\'executions"\n')
358			gnuplot_file.write('set output "%s"\n' % image_name)
359			gnuplot_file.write('set style line 1 lw 1\n')
360			gnuplot_file.write('set terminal png size %d,1024\n' % (24*nb_days))
361			gnuplot_file.write('plot ')
362
363			first_line = True
364
365			# Generating data files. Their names are based upon the module name being analysed
366			for m in module_list:
367			dat_filename = '%s.dat' % m
368			dat_file = open(dat_filename, 'w')
369
370			if first_line:
371			gnuplot_file.write('"%s" using 1:3 title "%s" with lines' % (dat_filename, m))
372			first_line = False
373			else:
374			gnuplot_file.write(', \\\n"%s" using 1:3 title "%s" with lines' % (dat_filename, m))
375
376			event_list = stats[m]
377			event_list.reverse() # We have to reverse the list as we prepended elements
378
379			for event in event_list:
380			(date, time, use) = event
381			dat_file.write('%s %s %d\n' % (date, time, use))
382
383			dat_file.close()
384
385			# End of print_gnuplot() function
386
387
388			def output_gnuplot(image_name, nb_days, result_list):
389			"""Does some stats and outputs them into some data files and a gnuplot script
390			that one might run later.
391			"""
392
393			(stats, module_list) = do_gnuplot_stats(result_list)
394			print_gnuplot(image_name, nb_days, stats, module_list)
395
396			# End of output_gnuplot() function
397
398
399			def main():
400			"""Here we choose what to do upon the command line's options.
401			"""
402
403			# Parsing options
404			my_opts = Options()
405
406			(nb_days, result_list) = read_files(my_opts.files)
407
408			if len(result_list) > 1:
409
410			if my_opts.out == 'stat':
411			output_stats(nb_days, result_list)
412
413			# We do not want to generate an image if the number of day usage is less than one !
414			elif my_opts.out == 'gnuplot' and nb_days > 0:
415			output_gnuplot(my_opts.image, nb_days, result_list)
416
417			if __name__ == "__main__":
418			main()
419

dupgit / flexlm_analysis

Push — master ( a9bfcb...cd893d )

do_gnuplot_stats() B

Complexity

Size

Duplication

Importance

Duplication Side-by-Side

Filter issues like