Generate a "Markov" tweet from a user's timeline

markov.py

import requests
import json
import random

class Markov(object):
    
    def __init__(self, words):
        self.cache = {}
        self.words = words
        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=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)


r = requests.get("http://api.twitter.com/1/statuses/user_timeline.json?count=200&screen_name=jaqmdor")
data = json.loads(r.text)

words = []

for tweet in data:
    words.extend(tweet["text"].split())

m = Markov(words)

print m.generate_markov_text()