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https://github.com/house-of-vanity/conf_bot.git
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75 lines
2.7 KiB
Python
75 lines
2.7 KiB
Python
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from .histograms import Dictogram
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import random
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from collections import deque
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import re
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class MarkovChain:
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def __init__(self, text=str()):
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self.length = 25
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self.text = text
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self.text_list = None
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self._prepare_list()
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self.model = self._gen_model()
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def _prepare_list(self):
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if isinstance(self.text, str):
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self._clean_text()
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self.text_list = self.text.split()
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else:
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raise TypeError
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def _clean_text(self):
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text = self.text.replace('—','')
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text = self.text.replace('«','')
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text = self.text.replace('»','')
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text = self.text.replace('(','')
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text = self.text.replace(')','')
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text = self.text.replace('.','')
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text = self.text.replace(',','')
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self.text = text
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print(self.text)
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def _gen_model(self):
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data = self.text_list
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if data is None:
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raise TypeError
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markov_model = dict()
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for i in range(0, len(data)-1):
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if data[i] in markov_model:
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markov_model[data[i]].update([data[i+1]])
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else:
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markov_model[data[i]] = Dictogram([data[i+1]])
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return markov_model
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def _generate_random_start(self):
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model = self.model
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# Чтобы сгенерировать любое начальное слово, раскомментируйте строку:
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return random.choice(list(model.keys()))
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# Чтобы сгенерировать "правильное" начальное слово, используйте код ниже:
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# Правильные начальные слова - это те, что являлись началом предложений в корпусе
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if 'END' in model:
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seed_word = 'END'
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while seed_word == 'END':
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seed_word = model['END'].return_weighted_random_word()
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return seed_word
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return random.choice(list(model.keys()))
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def generate_random_sentence(self):
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markov_model = self.model
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length = self.length if len(self.text_list) > self.length else len(self.text_list) - 1
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current_word = self._generate_random_start()
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sentence = [current_word]
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for i in range(0, length):
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try:
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current_dictogram = markov_model[current_word]
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random_weighted_word = current_dictogram.return_weighted_random_word()
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current_word = random_weighted_word
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sentence.append(current_word)
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except KeyError:
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pass
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sentence[0] = sentence[0].capitalize()
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return ' '.join(sentence) + '.'
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