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@willasaywhat
Created July 14, 2015 23:42
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Famarkov: A Markov Bot for IRC Logs
# FamiLAB Markov Chain Generator
# based on: http://agiliq.com/blog/2009/06/generating-pseudo-random-text-with-markov-chains-u/
import random
import re
IRC_PATTERN = r"(.*)\<(.*)\>(.*)"
class Markov(object):
def __init__(self, open_file):
self.cache = {}
self.open_file = open_file
self.words = self.file_to_words()
self.word_size = len(self.words)
self.database()
def file_to_words(self):
self.open_file.seek(0)
data = self.open_file.read()
words = self.strip_irc(data).split()
return words
def strip_irc(self, data_str):
prog = re.compile(IRC_PATTERN)
w = ""
for line in data_str.split('\n'):
result = prog.match(line)
if result is not None:
w = w + ' ' + result.group(3)
return w
def triples(self):
""" Generates triples from the given data string. So if our string were
"What a lovely day", we'd generate (What, a, lovely) and then
(a, lovely, day).
"""
if len(self.words) < 3:
return
for i in range(len(self.words) - 2):
yield (self.words[i], self.words[i+1], self.words[i+2])
def database(self):
for w1, w2, w3 in self.triples():
key = (w1, w2)
if key in self.cache:
self.cache[key].append(w3)
else:
self.cache[key] = [w3]
def generate_markov_text(self, size=25):
seed = random.randint(0, self.word_size-3)
seed_word, next_word = self.words[seed], self.words[seed+1]
w1, w2 = seed_word, next_word
gen_words = []
for i in xrange(size):
gen_words.append(w1)
w1, w2 = w2, random.choice(self.cache[(w1, w2)])
gen_words.append(w2)
return ' '.join(gen_words)
file_ = open('familab.log')
marky = Markov(file_)
while True:
print marky.generate_markov_text(size=100)
raw_input("Press any key...")
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