65 lines
2.1 KiB
Python
65 lines
2.1 KiB
Python
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import re
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import bot.entries.base.expressions as Expressions
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from bot.data import load_phrase_readings
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from bot.entries.smk8.base_entry import BaseEntry
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class PhraseEntry(BaseEntry):
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def __init__(self, target, entry_id):
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super().__init__(target, entry_id)
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self.__phrase_readings = load_phrase_readings(self.target)
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def get_part_of_speech_tags(self):
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# phrase entries do not contain these tags
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return []
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def _get_headwords(self):
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soup = self.get_page_soup()
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headwords = {}
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expressions = self._find_expressions(soup)
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readings = self._find_readings()
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for idx, expression in enumerate(expressions):
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reading = readings[idx]
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if reading in headwords:
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headwords[reading].append(expression)
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else:
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headwords[reading] = [expression]
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return headwords
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def _find_expressions(self, soup):
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self._delete_unused_nodes(soup)
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self._fill_alts(soup)
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text = soup.find("標準表記").text
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text = self._clean_expression(text)
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alternatives = parse_phrase(text)
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expressions = []
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for alt in alternatives:
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for exp in Expressions.expand_abbreviation(alt):
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expressions.append(exp)
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return expressions
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def _find_readings(self):
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text = self.__phrase_readings[self.entry_id]
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alternatives = parse_phrase(text)
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readings = []
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for alt in alternatives:
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for reading in Expressions.expand_abbreviation(alt):
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readings.append(reading)
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return readings
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def parse_phrase(text):
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"""Return a list of strings described by △ notation."""
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match = re.search(r"△([^（]+)（([^（]+)）", text)
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if match is None:
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return [text]
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alt_parts = [match.group(1)]
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for alt_part in match.group(2).split("・"):
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alt_parts.append(alt_part)
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alts = []
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for alt_part in alt_parts:
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alt_exp = re.sub(r"△[^（]+（[^（]+）", alt_part, text)
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alts.append(alt_exp)
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return alts
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