velascobot/markov.py
2017-09-19 13:00:56 +02:00

50 lines
1.6 KiB
Python

#!/usr/bin/env python3
import random
class Markov(object):
def __init__(self, text=None):
self.cache = {}
self.words = []
if text is None:
text = ""
self.words = text.split()
self.word_size = len(self.words)
self.database()
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=50):
seed = random.randint(0, self.word_size-3)
seed_word, next_word = self.words[seed], self.words[seed+1]
while "!kvl" in seed_word:
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 range(size):
gen_words.append(w1)
if "!kvl" in w2 or not (w1, w2) in self.cache:
print("Generated text")
break
else:
w1, w2 = w2, random.choice(self.cache[(w1, w2)])
return ' '.join(gen_words)