AIL-framework/bin/tests/Bargraph_categ_by_day.py

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