import random

class MarkovWord(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 = data.split()
		return words
		
	
	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 range(size):
			gen_words.append(w1)
			w1, w2 = w2, random.choice(self.cache[(w1, w2)])
		gen_words.append(w2)
		return ' '.join(gen_words)



class MarkovChar(object):
	
	def __init__(self, open_file):
		self.cache = {}
		self.open_file = open_file
		self.chars = self.file_to_chars()
		self.char_size = len(self.chars)
		self.database()
		
	
	def file_to_chars(self):
		self.open_file.seek(0)
		data = self.open_file.read()
		chars = [char for char in data]
		return chars
		
	
	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.chars) < 3:
			return
		
		for i in range(len(self.chars) - 2):
			yield (self.chars[i], self.chars[i+1], self.chars[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.char_size-3)
		seed_char, next_char = self.chars[seed], self.chars[seed+1]
		w1, w2 = seed_char, next_char
		gen_chars = []
		for i in range(size):
			gen_chars.append(w1)
			w1, w2 = w2, random.choice(self.cache[(w1, w2)])
		gen_chars.append(w2)
		return ''.join(gen_chars)