AIL-framework/bin/TermTrackerMod.py

#!/usr/bin/env python3
# -*-coding:UTF-8 -*
"""
The TermTracker Module
===================

"""
import os
import sys
import time
import signal

from Helper import Process
from pubsublogger import publisher

import NotificationHelper

from packages import Item
from packages import Term

sys.path.append(os.path.join(os.environ['AIL_FLASK'], 'modules'))
import Flask_config

full_item_url = "/showsavedpaste/?paste="

mail_body_template = "AIL Framework,\nNew occurrence for term tracked term: {}\nitem id: {}\nurl: {}{}"

# loads tracked words
list_tracked_words = Term.get_tracked_words_list()
last_refresh_word = time.time()
set_tracked_words_list = Term.get_set_tracked_words_list()
last_refresh_set = time.time()

class TimeoutException(Exception):
    pass
def timeout_handler(signum, frame):
    raise TimeoutException
signal.signal(signal.SIGALRM, timeout_handler)

def new_term_found(term, term_type, item_id, item_date):
    uuid_list = Term.get_term_uuid_list(term, term_type)
    print('new tracked term found: {} in {}'.format(term, item_id))

    for term_uuid in uuid_list:
        Term.add_tracked_item(term_uuid, item_id, item_date)

        tags_to_add = Term.get_term_tags(term_uuid)
        for tag in tags_to_add:
            msg = '{};{}'.format(tag, item_id)
            p.populate_set_out(msg, 'Tags')

        mail_to_notify = Term.get_term_mails(term_uuid)
        if mail_to_notify:
            mail_body = mail_body_template.format(term, item_id, full_item_url, item_id)
        for mail in mail_to_notify:
            NotificationHelper.sendEmailNotification(mail, 'Term Tracker', mail_body)


if __name__ == "__main__":

    publisher.port = 6380
    publisher.channel = "Script"
    publisher.info("Script TermTrackerMod started")

    config_section = 'TermTrackerMod'
    p = Process(config_section)
    max_execution_time = p.config.getint(config_section, "max_execution_time")

    full_item_url = p.config.get("Notifications", "ail_domain") + full_item_url

    while True:

        item_id = p.get_from_set()

        if item_id is not None:

            item_date = Item.get_item_date(item_id)
            item_content = Item.get_item_content(item_id)

            signal.alarm(max_execution_time)
            try:
                dict_words_freq = Term.get_text_word_frequency(item_content)
            except TimeoutException:
                print ("{0} processing timeout".format(paste.p_rel_path))
                continue
            else:
                signal.alarm(0)

            # create token statistics
            for word in dict_words_freq:
                Term.create_token_statistics(item_date, word, dict_words_freq[word])

            # check solo words
            for word in list_tracked_words:
                if word in dict_words_freq:
                    new_term_found(word, 'word', item_id, item_date)

            # check words set
            for elem in set_tracked_words_list:
                list_words = elem[0]
                nb_words_threshold = elem[1]
                word_set = elem[2]
                nb_uniq_word = 0

                for word in list_words:
                    if word in dict_words_freq:
                        nb_uniq_word += 1
                if nb_uniq_word >= nb_words_threshold:
                    new_term_found(word_set, 'set', item_id, item_date)

        else:
            time.sleep(5)


        # refresh Tracked term
        if last_refresh_word < Term.get_tracked_term_last_updated_by_type('word'):
            list_tracked_words = Term.get_tracked_words_list()
            last_refresh_word = time.time()
            print('Tracked word refreshed')

        if last_refresh_set < Term.get_tracked_term_last_updated_by_type('set'):
            set_tracked_words_list = Term.get_set_tracked_words_list()
            last_refresh_set = time.time()
            print('Tracked set refreshed')