def get_users_data(user_name1, user_name2):
user1 = engine.get_user_info(user_name1)
user2 = engine.get_user_info(user_name2)
db.save_user(user1.serialise())
db.save_user(user2.serialise())
timeline1 = tools.flush(user1.timeline, by_what=lambda x: tp.get_words(x['text'], is_normalise=True))[:10]
timeline2 = tools.flush(user2.timeline, by_what=lambda x: tp.get_words(x['text'], is_normalise=True))[:10]
print len(timeline1)
print len(timeline2)
mc1 = markov_chain_machine.create_model(timeline1, user_name1, boost)
mc2 = markov_chain_machine.create_model(timeline2, user_name2, boost)
return mc1, mc2
timeline1 = tools.flush(user1.timeline, by_what=lambda x: tp.get_words(x['text'], is_normalise=True))[:10]
timeline2 = tools.flush(user2.timeline, by_what=lambda x: tp.get_words(x['text'], is_normalise=True))[:10]
print len(timeline1)
print len(timeline2)
mc1 = markov_chain_machine.create_model(timeline1, user_name1, boost)
mc2 = markov_chain_machine.create_model(timeline2, user_name2, boost)
return mc1, mc2
def form_timeline(user_timeline):
true_timeline = tools.flush(user_timeline, by_what=lambda x: tp.get_words(x['text'], is_normalise=True))
return true_timeline
if __name__ == '__main__':
# models = get_users_data('navalny', 'MedvedevRussia')
# print diff_markov_chains(models[0], models[1])
# engine.get_relations_of_user('navalny')
# user = engine.get_user_info('GoogleRussia')
# db.save_user(user.serialise())
# user = db.get_user({'name_':'@GoogleRussia'})
#
# print len(user.timeline)
# print user.timeline_count
user = db.get_user({'name_': '@GoogleRussia'})
time_line = form_timeline(user.timeline)
mc = markov_chain_machine.create_model(time_line,user.name_,boost)
mc.print_me()
diff_markov_chains(mc,mc)
def prep_models(timeline):
return [markov_chain_machine.create_model([message], hash(str(message)), booster) for message in timeline]
