mirror of
https://github.com/ail-project/ail-framework.git
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65 lines
1.6 KiB
Python
65 lines
1.6 KiB
Python
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#!/usr/bin/python2.7
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# -*-coding:UTF-8 -*
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from packages.lib_refine import *
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from packages.imported import *
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def main():
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"""Main Function"""
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parser = argparse.ArgumentParser(
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description = '''This script is a part of the Analysis Information Leak
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framework. It create an histogram which display the occurency
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of the word category per days.''',
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epilog = '''The Redis database need to be populated by the script
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Classify_Paste_Token.py before.
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It's also usefull to launch Remove_longline_fp.py and Refine_with_regex.py
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to create a more accurate histogram.
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example: ./Bargraph_categ_by_day.py 2013 12 mails_categ''')
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parser.add_argument('-db',
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type = int,
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default = 0,
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help = 'The name of the Redis DB (default 0)',
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choices=[0, 1, 2, 3, 4],
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action = 'store')
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parser.add_argument('-f',
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type = str,
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metavar = "filename",
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default = "figure",
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help = 'The absolute path name of the "figure.png"',
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action = 'store')
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parser.add_argument('y',
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type = int,
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metavar = "year",
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help = 'The year processed',
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action = 'store')
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parser.add_argument('m',
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type = int,
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metavar = "month",
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help = 'The month processed',
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action = 'store')
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parser.add_argument('key',
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type = str,
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help ='name of the key to process in redis (the word_categ concerned)',
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action = 'store')
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args = parser.parse_args()
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r = redis.StrictRedis(
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host='localhost',
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port=6379,
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db=args.db)
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p = r.pipeline(False)
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graph_categ_by_day(r, args.f, args.y, args.m, args.key)
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if __name__ == "__main__":
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main()
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