mirror of https://github.com/CIRCL/AIL-framework
122 lines
3.7 KiB
Python
Executable File
122 lines
3.7 KiB
Python
Executable File
#!/usr/bin/env python3
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# -*-coding:UTF-8 -*
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"""
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The TermTracker Module
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===================
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"""
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import os
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import sys
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import time
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import signal
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from Helper import Process
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from pubsublogger import publisher
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import NotificationHelper
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from packages import Item
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from packages import Term
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full_item_url = "/showsavedpaste/?paste="
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mail_body_template = "AIL Framework,\nNew occurrence for term tracked term: {}\nitem id: {}\nurl: {}{}"
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# loads tracked words
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list_tracked_words = Term.get_tracked_words_list()
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last_refresh_word = time.time()
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set_tracked_words_list = Term.get_set_tracked_words_list()
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last_refresh_set = time.time()
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class TimeoutException(Exception):
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pass
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def timeout_handler(signum, frame):
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raise TimeoutException
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signal.signal(signal.SIGALRM, timeout_handler)
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def new_term_found(term, term_type, item_id, item_date):
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uuid_list = Term.get_term_uuid_list(term, term_type)
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print('new tracked term found: {} in {}'.format(term, item_id))
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for term_uuid in uuid_list:
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Term.add_tracked_item(term_uuid, item_id, item_date)
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tags_to_add = Term.get_term_tags(term_uuid)
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for tag in tags_to_add:
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msg = '{};{}'.format(tag, item_id)
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p.populate_set_out(msg, 'Tags')
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mail_to_notify = Term.get_term_mails(term_uuid)
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if mail_to_notify:
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mail_body = mail_body_template.format(term, item_id, full_item_url, item_id)
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for mail in mail_to_notify:
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NotificationHelper.sendEmailNotification(mail, 'Term Tracker', mail_body)
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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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publisher.info("Script TermTrackerMod started")
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config_section = 'TermTrackerMod'
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p = Process(config_section)
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max_execution_time = p.config.getint(config_section, "max_execution_time")
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full_item_url = p.config.get("Notifications", "ail_domain") + full_item_url
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while True:
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item_id = p.get_from_set()
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if item_id is not None:
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item_date = Item.get_item_date(item_id)
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item_content = Item.get_item_content(item_id)
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signal.alarm(max_execution_time)
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try:
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dict_words_freq = Term.get_text_word_frequency(item_content)
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except TimeoutException:
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print ("{0} processing timeout".format(paste.p_rel_path))
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continue
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else:
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signal.alarm(0)
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# create token statistics
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#for word in dict_words_freq:
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# Term.create_token_statistics(item_date, word, dict_words_freq[word])
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# check solo words
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for word in list_tracked_words:
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if word in dict_words_freq:
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new_term_found(word, 'word', item_id, item_date)
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# check words set
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for elem in set_tracked_words_list:
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list_words = elem[0]
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nb_words_threshold = elem[1]
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word_set = elem[2]
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nb_uniq_word = 0
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for word in list_words:
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if word in dict_words_freq:
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nb_uniq_word += 1
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if nb_uniq_word >= nb_words_threshold:
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new_term_found(word_set, 'set', item_id, item_date)
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else:
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time.sleep(5)
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# refresh Tracked term
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if last_refresh_word < Term.get_tracked_term_last_updated_by_type('word'):
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list_tracked_words = Term.get_tracked_words_list()
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last_refresh_word = time.time()
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print('Tracked word refreshed')
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if last_refresh_set < Term.get_tracked_term_last_updated_by_type('set'):
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set_tracked_words_list = Term.get_set_tracked_words_list()
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last_refresh_set = time.time()
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print('Tracked set refreshed')
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