292 lines
7.7 KiB
Python
292 lines
7.7 KiB
Python
# coding: utf-8
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import re
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from difflib import SequenceMatcher
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import yaml
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from profanityfilter import ProfanityFilter
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YAML_FILE = "story/story_data.yaml"
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with open("story/censored_words.txt", "r") as f:
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censored_words = [l.replace("\n", "") for l in f.readlines()]
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pf = ProfanityFilter(custom_censor_list=censored_words)
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def console_print(text, width=75):
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last_newline = 0
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i = 0
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while i < len(text):
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if text[i] == "\n":
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last_newline = 0
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elif last_newline > width and text[i] == " ":
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text = text[:i] + "\n" + text[i:]
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last_newline = 0
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else:
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last_newline += 1
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i += 1
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print(text)
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def get_similarity(a, b):
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return SequenceMatcher(None, a, b).ratio()
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def get_num_options(num):
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while True:
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choice = input("Enter the number of your choice: ")
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try:
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result = int(choice)
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if result >= 0 and result < num:
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return result
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else:
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print("Error invalid choice. ")
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except ValueError:
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print("Error invalid choice. ")
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def player_died(text):
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"""
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TODO: Add in more sophisticated NLP, maybe a custom classifier
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trained on hand-labelled data that classifies second-person
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statements as resulting in death or not.
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"""
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lower_text = text.lower()
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you_dead_regexps = [
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"you('re| are) (dead|killed|slain|no more|nonexistent)",
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"you (die|pass away|perish|suffocate|drown|bleed out)",
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"you('ve| have) (died|perished|suffocated|drowned|been (killed|slain))",
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"you (\w* )?(yourself )?to death",
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"you (\w* )*(collapse|bleed out|chok(e|ed|ing)|drown|dissolve) (\w* )*and (die(|d)|pass away|cease to exist|(\w* )+killed)",
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]
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return any(re.search(regexp, lower_text) for regexp in you_dead_regexps)
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def player_won(text):
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lower_text = text.lower()
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won_phrases = [
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"you ((\w* )*and |)live happily ever after",
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"you ((\w* )*and |)live (forever|eternally|for eternity)",
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"you ((\w* )*and |)(are|become|turn into) ((a|now) )?(deity|god|immortal)",
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"you ((\w* )*and |)((go|get) (in)?to|arrive (at|in)) (heaven|paradise)",
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"you ((\w* )*and |)celebrate your (victory|triumph)",
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"you ((\w* )*and |)retire",
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"The rest is history...",
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]
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return any(re.search(regexp, lower_text) for regexp in won_phrases)
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def remove_profanity(text):
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return pf.censor(text)
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def cut_trailing_quotes(text):
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num_quotes = text.count('"')
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if num_quotes % 2 is 0:
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return text
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else:
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final_ind = text.rfind('"')
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return text[:final_ind]
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def split_first_sentence(text):
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first_period = text.find(".")
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first_exclamation = text.find("!")
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if first_exclamation < first_period and first_exclamation > 0:
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split_point = first_exclamation + 1
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elif first_period > 0:
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split_point = first_period + 1
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else:
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split_point = text[0:20]
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return text[0:split_point], text[split_point:]
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def cut_trailing_action(text):
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lines = text.split("\n")
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last_line = lines[-1]
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if (
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"you ask" in last_line
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or "You ask" in last_line
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or "you say" in last_line
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or "You say" in last_line
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) and len(lines) > 1:
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text = "\n".join(lines[0:-1])
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return text
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def cut_trailing_sentence(text):
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text = standardize_punctuation(text)
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last_punc = max(text.rfind("."), text.rfind("!"), text.rfind("?"))
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if last_punc <= 0:
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last_punc = len(text) - 1
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et_token = text.find("<")
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if et_token > 0:
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last_punc = min(last_punc, et_token - 1)
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act_token = text.find(">")
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if act_token > 0:
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last_punc = min(last_punc, act_token - 1)
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text = text[:last_punc+1]
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text = cut_trailing_quotes(text)
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text = cut_trailing_action(text)
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return text
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def replace_outside_quotes(text, current_word, repl_word):
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text = standardize_punctuation(text)
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reg_expr = re.compile(current_word + '(?=([^"]*"[^"]*")*[^"]*$)')
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output = reg_expr.sub(repl_word, text)
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return output
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def is_first_person(text):
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count = 0
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for pair in first_to_second_mappings:
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variations = mapping_variation_pairs(pair)
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for variation in variations:
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reg_expr = re.compile(variation[0] + '(?=([^"]*"[^"]*")*[^"]*$)')
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matches = re.findall(reg_expr, text)
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count += len(matches)
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if count > 3:
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return True
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else:
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return False
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def is_second_person(text):
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count = 0
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for pair in second_to_first_mappings:
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variations = mapping_variation_pairs(pair)
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for variation in variations:
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reg_expr = re.compile(variation[0] + '(?=([^"]*"[^"]*")*[^"]*$)')
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matches = re.findall(reg_expr, text)
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count += len(matches)
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if count > 3:
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return True
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else:
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return False
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def capitalize(word):
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return word[0].upper() + word[1:]
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def mapping_variation_pairs(mapping):
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mapping_list = []
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mapping_list.append((" " + mapping[0] + " ", " " + mapping[1] + " "))
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mapping_list.append(
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(" " + capitalize(mapping[0]) + " ", " " + capitalize(mapping[1]) + " ")
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)
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# Change you it's before a punctuation
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if mapping[0] is "you":
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mapping = ("you", "me")
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mapping_list.append((" " + mapping[0] + ",", " " + mapping[1] + ","))
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mapping_list.append((" " + mapping[0] + "\?", " " + mapping[1] + "\?"))
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mapping_list.append((" " + mapping[0] + "\!", " " + mapping[1] + "\!"))
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mapping_list.append((" " + mapping[0] + "\.", " " + mapping[1] + "."))
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return mapping_list
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first_to_second_mappings = [
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("I'm", "you're"),
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("Im", "you're"),
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("Ive", "you've"),
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("I am", "you are"),
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("was I", "were you"),
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("am I", "are you"),
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("wasn't I", "weren't you"),
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("I", "you"),
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("I'd", "you'd"),
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("i", "you"),
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("I've", "you've"),
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("was I", "were you"),
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("am I", "are you"),
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("wasn't I", "weren't you"),
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("I", "you"),
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("I'd", "you'd"),
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("i", "you"),
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("I've", "you've"),
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("I was", "you were"),
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("my", "your"),
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("we", "you"),
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("we're", "you're"),
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("mine", "yours"),
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("me", "you"),
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("us", "you"),
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("our", "your"),
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("I'll", "you'll"),
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("myself", "yourself"),
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]
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second_to_first_mappings = [
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("you're", "I'm"),
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("your", "my"),
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("you are", "I am"),
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("you were", "I was"),
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("are you", "am I"),
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("you", "I"),
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("you", "me"),
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("you'll", "I'll"),
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("yourself", "myself"),
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("you've", "I've"),
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]
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def capitalize_helper(string):
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string_list = list(string)
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string_list[0] = string_list[0].upper()
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return "".join(string_list)
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def capitalize_first_letters(text):
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first_letters_regex = re.compile(r"((?<=[\.\?!]\s)(\w+)|(^\w+))")
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def cap(match):
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return capitalize_helper(match.group())
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result = first_letters_regex.sub(cap, text)
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return result
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def standardize_punctuation(text):
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text = text.replace("’", "'")
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text = text.replace("`", "'")
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text = text.replace("“", '"')
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text = text.replace("”", '"')
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return text
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def first_to_second_person(text):
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text = " " + text
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text = standardize_punctuation(text)
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for pair in first_to_second_mappings:
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variations = mapping_variation_pairs(pair)
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for variation in variations:
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text = replace_outside_quotes(text, variation[0], variation[1])
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return capitalize_first_letters(text[1:])
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def second_to_first_person(text):
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text = " " + text
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text = standardize_punctuation(text)
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for pair in second_to_first_mappings:
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variations = mapping_variation_pairs(pair)
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for variation in variations:
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text = replace_outside_quotes(text, variation[0], variation[1])
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return capitalize_first_letters(text[1:])
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