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112 lines
3.5 KiB
Python
Executable file
112 lines
3.5 KiB
Python
Executable file
#!/usr/bin/env python2
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# -*-coding:UTF-8 -*
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"""
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The ZMQ_PubSub_Categ Module
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============================
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This module is consuming the Redis-list created by the ZMQ_PubSub_Tokenize_Q
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Module.
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Each words files created under /files/ are representing categories.
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This modules take these files and compare them to
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the stream of data given by the ZMQ_PubSub_Tokenize_Q Module.
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When a word from a paste match one or more of these words file, the filename of
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the paste is published/forwarded to the next modules.
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Each category (each files) are representing a dynamic channel.
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This mean that if you create 1000 files under /files/ you'll have 1000 channels
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where every time there is a matching word to a category, the paste containing
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this word will be pushed to this specific channel.
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..note:: The channel will have the name of the file created.
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Implementing modules can start here, create your own category file,
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and then create your own module to treat the specific paste matching this
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category.
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..note:: Module ZMQ_Something_Q and ZMQ_Something are closely bound, always put
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the same Subscriber name in both of them.
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Requirements
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------------
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*Need running Redis instances. (Redis)
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*Categories files of words in /files/ need to be created
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*Need the ZMQ_PubSub_Tokenize_Q Module running to be able to work properly.
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"""
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import os
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import argparse
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import time
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from pubsublogger import publisher
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from packages import Paste
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import Helper
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if __name__ == "__main__":
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publisher.port = 6380
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publisher.channel = "Script"
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config_section = 'PubSub_Words'
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config_channel = 'channel_0'
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subscriber_name = 'categ'
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h = Helper.Redis_Queues(config_section, config_channel, subscriber_name)
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# Publisher
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pub_config_section = 'PubSub_Categ'
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h.zmq_pub(pub_config_section, None)
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# SCRIPT PARSER #
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parser = argparse.ArgumentParser(
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description='This script is a part of the Analysis Information \
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Leak framework.')
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parser.add_argument(
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'-d', type=str, default="../files/",
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help='Path to the directory containing the category files.',
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action='store')
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args = parser.parse_args()
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# FUNCTIONS #
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publisher.info(
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"Script Categ subscribed to channel {}".format(h.sub_channel))
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tmp_dict = {}
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for filename in os.listdir(args.d):
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bname = os.path.basename(filename)
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tmp_dict[bname] = []
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with open(os.path.join(args.d, filename), 'r') as f:
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for l in f:
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tmp_dict[bname].append(l.strip())
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prec_filename = None
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while True:
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message = h.redis_rpop()
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if message is not None:
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channel, filename, word, score = message.split()
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if prec_filename is None or filename != prec_filename:
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PST = Paste.Paste(filename)
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prec_filename = filename
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for categ, words_list in tmp_dict.items():
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if word.lower() in words_list:
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h.pub_channel = categ
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h.zmq_pub_send('{} {} {}'.format(PST.p_path, word, score))
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publisher.info(
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'Categ;{};{};{};Detected {} "{}"'.format(
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PST.p_source, PST.p_date, PST.p_name, score, word))
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else:
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if h.redis_queue_shutdown():
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print "Shutdown Flag Up: Terminating"
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publisher.warning("Shutdown Flag Up: Terminating.")
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break
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publisher.debug("Script Categ is Idling 10s")
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time.sleep(10)
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