375 lines
11 KiB
Python
375 lines
11 KiB
Python
import json
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import random
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import numpy as np
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from string import digits
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import pathlib
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import logging
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def get_difficulty_threshold(lang: str, difficulty: int):
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return get_difficulty_threshold.thresholds[lang][difficulty]
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get_difficulty_threshold.thresholds = {
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'de': {
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0: 12,
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1: 6,
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2: 0
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},
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'en': {
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0: 200,
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1: 100,
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2: 10
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}
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}
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def get_database(lang: str = "en") -> dict:
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if lang not in get_database._dbs:
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current_folder = pathlib.Path(__file__).parents[0]
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db_file = str(current_folder / f"{lang}.json")
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logging.info("loading database: %s", lang)
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with open(db_file, "r") as f:
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db = json.load(f)
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get_database._dbs[lang] = db
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logging.info("database loaded")
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return get_database._dbs[lang]
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get_database._dbs = {}
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class NoDataException(Exception):
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pass
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class WordInfo(object):
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def __init__(self, word: str, y: int, x: int, is_vertical: bool, database: dict, opposite_prefix: str = "opposite of", synonym_prefix: str = "other word for"):
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self._dictionary_database = database
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self._y = y
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self._x = x
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self._word = word
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self._hint = None
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self._is_vertical = is_vertical
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self.opposite_prefix = opposite_prefix
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self.synonym_prefix = synonym_prefix
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self.choose_info()
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def get_attribute(self, attr: str):
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attr = self._dictionary_database[self._word][attr]
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if attr is None or len(attr) == 0:
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raise NoDataException
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return attr
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def get_best_antonym(self) -> str:
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antonyms = self.get_attribute("antonyms")
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return random.choice(antonyms)
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def get_best_synonym(self) -> str:
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synonyms = self.get_attribute("synonyms")
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return random.choice(synonyms)
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def get_best_sense(self) -> str:
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senses = self.get_attribute("senses")
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return random.choice(senses)
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def choose_info(self, n: int = 1):
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assert n <= 4
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# first choose antonyms, then synonyms, then senses
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hints = []
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try:
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antonyms = self.get_attribute("antonyms")
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antonyms = [f"{self.opposite_prefix} {w}" for w in antonyms]
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hints = hints + antonyms
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except NoDataException:
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pass
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try:
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synonyms = self.get_attribute("synonyms")
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synonyms = [f"{self.synonym_prefix} {w}" for w in synonyms]
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hints = hints + synonyms
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except NoDataException:
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pass
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try:
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senses = self.get_attribute("senses")
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hints = hints + senses
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except NoDataException:
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pass
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final_hints = []
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for i in range(n):
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choice = random.choice(hints)
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hints.remove(choice)
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final_hints.append(choice)
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if n == 1:
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self._hint = final_hints[0]
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return
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hint_symbols = ['a)', 'b)', 'c)', 'd)']
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self._hint = ""
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for i in range(n):
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self._hint += hint_symbols[i] + " " + final_hints[i] + ". "
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def get_hint(self) -> str:
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return self._hint
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def get_hint_location(self):
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x = self._x if self._is_vertical else self._x - 1
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y = self._y - 1 if self._is_vertical else self._y
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return (y, x)
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def is_vertical(self):
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return self._is_vertical
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def create_word_grid(w: int, h: int, lang_code: str = "en", target_density: float = 0.5, difficulty: int = 0):
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logging.info("generate new crossword with params: w:%s h:%s lang:%s density:%s difficulty:%s",
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str(w),
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str(h),
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lang_code,
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str(target_density),
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str(difficulty))
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t_num_translations = get_difficulty_threshold(lang = lang_code, difficulty = difficulty)
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database = get_database(lang=lang_code)
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list_words = list(database.keys())
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grid = np.full(shape=(h, w), dtype=np.unicode, fill_value=' ')
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locations = {}
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word_hints = {}
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def store_location(char: str, y: int, x: int):
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assert len(char) == 1
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if char not in locations:
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locations[char] = []
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if [y,x] not in locations[char]:
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locations[char].append([y, x])
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remove_digits = str.maketrans('', '', digits)
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n_words = len(list_words)
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def get_word(max_length: int, min_length=0):
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assert max_length > 1
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index = random.randint(0, n_words-1)
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word = list_words[index][:]
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num_translations = database[word]['num_translations']
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t = t_num_translations
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while len(word) >= max_length or not word.isalnum() or len(word) <= min_length or num_translations < t:
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index = random.randint(0, n_words-1)
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word = list_words[index][:]
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num_translations = database[word]['num_translations']
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return word
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def normalize_word(word: str):
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word = word.translate(remove_digits)
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return word.lower()
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opposite_prefix = "opposite of" if lang_code == "en" else "Gegenteil von"
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synonym_prefix = "other word for" if lang_code == "en" else "anderes Wort für"
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def place_word(word: str, y: int, x: int, vertical: bool = False):
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normalized_word = normalize_word(word)
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n = len(normalized_word)
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if vertical:
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assert grid.shape[0] - n >= y
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for i, char in enumerate(normalized_word):
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grid[y + i, x] = char
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store_location(char, y+i, x)
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else:
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assert grid.shape[1] - n >= x
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for i, char in enumerate(normalized_word):
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grid[y, x + i] = char
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store_location(char, y, x+i)
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word_hints[normalized_word] = WordInfo(
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word, y, x, vertical, database, opposite_prefix, synonym_prefix)
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def density():
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return 1 - (grid == " ").sum() / (w * h)
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def check_if_fits(word: str, y: int, x: int, vertical: bool):
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n = len(word)
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if vertical:
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# check if there is space before and after
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if y - 1 >= 0 and grid[y - 1, x] != " ":
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return False
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if y + n < grid.shape[0] and grid[y+n, x] != " ":
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return False
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if grid.shape[0] - n < y or y < 0:
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# print("over board")
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return False
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for i, char in enumerate(word):
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char_x = x
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char_y = y + i
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if not (grid[char_y, char_x] == " " or grid[char_y, char_x] == char):
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# print("not matching")
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return False
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if grid[char_y, char_x] == " ":
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# check for horizonatal neighbors:
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if char_x - 1 >= 0 and grid[char_y, char_x - 1] != " ":
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# print("3")
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return False
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if char_x + 1 < grid.shape[1] and grid[char_y, char_x + 1] != " ":
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# print("4")
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return False
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else:
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# check if there is space before and after
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if x - 1 >= 0 and grid[y, x - 1] != " ":
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return False
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if x + n < grid.shape[1] and grid[y, x + n] != " ":
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return False
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if grid.shape[1] - n < x or x < 0:
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# print("over board")
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return False
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for i, char in enumerate(word):
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char_x = x + i
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char_y = y
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if not (grid[char_y, char_x] == " " or grid[char_y, char_x] == char):
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# print("not matching")
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return False
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if grid[char_y, char_x] == " ":
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# check for vertical neighbors:
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if char_y - 1 >= 0 and grid[char_y - 1, char_x] != " ":
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# print("1")
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return False
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if char_y + 1 < grid.shape[0] and grid[char_y + 1, char_x] != " ":
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# print("2")
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return False
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return True
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def get_crossover(word: str):
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# returns Tuple of: (y,x, is_vertical?) or None
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shuffled_order = list(range(len(word)))
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random.shuffle(shuffled_order)
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for index in shuffled_order:
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# check for existing locations
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char = word[index]
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if char in locations:
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char_locations = locations[char]
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for char_loc in char_locations:
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# test vertical
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y = char_loc[0] - index
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x = char_loc[1]
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if check_if_fits(word, y, x, vertical=True):
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return (y, x, True)
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# test horizontal
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y = char_loc[0]
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x = char_loc[1] - index
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if check_if_fits(word, y, x, vertical=False):
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return (y, x, False)
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return None
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def get_solution_word(min_length=15, max_length=100):
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word = get_word(min_length=min_length, max_length=max_length)
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# search for matching characters in locations
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locations_cpy = dict(locations)
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solution_locations = []
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for char in word:
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if char not in locations_cpy or len(locations_cpy[char]) == 0:
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# next try:
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return get_solution_word(min_length=min_length, max_length=max_length)
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location_candidates = locations_cpy[char]
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n = len(location_candidates)
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i = random.randint(0, n-1)
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solution_locations.append(location_candidates[i])
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del(location_candidates[i])
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return solution_locations
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min_shape = min(w, h, 30)
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# place first word:
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first_word = get_word(max_length=min_shape,
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min_length=min(10, grid.shape[1] - 2))
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# find random place:
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x = random.randint(0, grid.shape[1] - len(first_word) - 1)
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y = random.randint(0, grid.shape[0] - 1)
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place_word(first_word, y, x, vertical=False)
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i = 0
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current_density = density()
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while current_density < target_density:
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word = get_word(max_length=(1 - current_density ** 0.4) * min_shape,
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min_length=max(min(10, 0.5 * (1 - current_density ** 0.3) * min_shape), 2))
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normalized_word = normalize_word(word)
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if normalized_word in word_hints:
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continue
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# check if matching characters exist:
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crossover = get_crossover(normalized_word)
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i += 1
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if i % 1000 == 0:
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print(i)
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if i > 1200:
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break
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if crossover == None:
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current_density = density()
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continue
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y, x, is_vertical = crossover
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place_word(word, y, x, is_vertical)
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current_density = density()
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solution_word_locations = get_solution_word()
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logging.info("crossword generation done after %s iterations", str(i))
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return grid, word_hints, solution_word_locations
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