yomichan/util/compile.py

256 lines
8.9 KiB
Python
Executable File

#!/usr/bin/env python
# Copyright (C) 2016 Alex Yatskov <alex@foosoft.net>
# Author: Alex Yatskov <alex@foosoft.net>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import codecs
import json
import optparse
import os.path
import re
PARSED_TAGS = {
'Buddh': 'Buddhist term',
'MA': 'martial arts term',
'X': 'rude or X-rated term',
'abbr': 'abbreviation',
'adj': 'former adjective classification (being removed)',
'adj-f': 'noun or verb acting prenominally (other than the above)',
'adj-i': 'adjective (keiyoushi)',
'adj-na': 'adjectival nouns or quasi-adjectives (keiyodoshi)',
'adj-no': 'nouns which may take the genitive case particle "no"',
'adj-pn': 'pre-noun adjectival (rentaishi)',
'adj-t': '"taru" adjective',
'adv': 'adverb (fukushi)',
'adv-n': 'adverbial noun',
'adv-to': 'adverb taking the "to" particle',
'arch': 'archaism',
'ateji': 'ateji (phonetic) reading',
'aux': 'auxiliary',
'aux-adj': 'auxiliary adjective',
'aux-v': 'auxiliary verb',
'c': 'company name',
'chn': 'children\'s language',
'col': 'colloquialism',
'comp': 'computer terminology',
'conj': 'conjunction',
'ctr': 'counter',
'derog': 'derogatory term',
'eK': 'exclusively kanji',
'ek': 'exclusively kana',
'exp': 'Expressions (phrases, clauses, etc.)',
'f': 'female given name',
'fam': 'familiar language',
'fem': 'female term or language',
'food': 'food term',
'g': 'given name, as-yet not classified by sex',
'geom': 'geometry term',
'gikun': 'gikun (meaning) reading',
'gram': 'grammatical term',
'h': 'full (usually family plus given) name of a particular person',
'hon': 'honorific or respectful (sonkeigo) language',
'hum': 'humble (kenjougo) language',
'iK': 'word containing irregular kanji usage',
'id': 'idiomatic expression',
'ik': 'word containing irregular kana usage',
'int': 'interjection (kandoushi)',
'io': 'irregular okurigana usage',
'iv': 'irregular verb',
'ling': 'linguistics terminology',
'm': 'male given name',
'm-sl': 'manga slang',
'male': 'male term or language',
'male-sl': 'male slang',
'math': 'mathematics',
'mil': 'military',
'n': 'noun (common) (futsuumeishi)',
'n-adv': 'adverbial noun (fukushitekimeishi)',
'n-pref': 'noun, used as a prefix',
'n-suf': 'noun, used as a suffix',
'n-t': 'noun (temporal) (jisoumeishi)',
'num': 'numeric',
'oK': 'word containing out-dated kanji',
'obs': 'obsolete term',
'obsc': 'obscure term',
'ok': 'out-dated or obsolete kana usage',
'on-mim': 'onomatopoeic or mimetic word',
'P': 'popular term',
'p': 'place-name',
'physics': 'physics terminology',
'pn': 'pronoun',
'poet': 'poetical term',
'pol': 'polite (teineigo) language',
'pr': 'product name',
'pref': 'prefix',
'prt': 'particle',
'rare': 'rare (now replaced by "obsc")',
's': 'surname',
'sens': 'sensitive word',
'sl': 'slang',
'st': 'stations',
'suf': 'suffix',
'u': 'person name, either given or surname, as-yet unclassified',
'uK': 'word usually written using kanji alone',
'uk': 'word usually written using kana alone',
'v1': 'Ichidan verb',
'v2a-s': 'Nidan verb with "u" ending (archaic)',
'v4h': 'Yodan verb with "hu/fu" ending (archaic)',
'v4r': 'Yodan verb with "ru" ending (archaic)',
'v5': 'Godan verb (not completely classified)',
# 'v5aru': 'Godan verb - -aru special class',
# 'v5b': 'Godan verb with "bu" ending',
# 'v5g': 'Godan verb with "gu" ending',
# 'v5k': 'Godan verb with "ku" ending',
# 'v5k-s': 'Godan verb - iku/yuku special class',
# 'v5m': 'Godan verb with "mu" ending',
# 'v5n': 'Godan verb with "nu" ending',
# 'v5r': 'Godan verb with "ru" ending',
# 'v5r-i': 'Godan verb with "ru" ending (irregular verb)',
# 'v5s': 'Godan verb with "su" ending',
# 'v5t': 'Godan verb with "tsu" ending',
# 'v5u': 'Godan verb with "u" ending',
# 'v5u-s': 'Godan verb with "u" ending (special class)',
# 'v5uru': 'Godan verb - uru old class verb (old form of Eru)',
# 'v5z': 'Godan verb with "zu" ending',
'vi': 'intransitive verb',
'vk': 'kuru verb - special class',
'vn': 'irregular nu verb',
'vs': 'noun or participle which takes the aux. verb suru',
'vs-c': 'su verb - precursor to the modern suru',
'vs-i': 'suru verb - irregular',
'vs-s': 'suru verb - special class',
'vt': 'transitive ver',
'vulg': 'vulgar expression or word',
'vz': 'Ichidan verb - zuru verb - (alternative form of -jiru verbs)',
}
def is_hiragana(c):
return 0x3040 <= ord(c) < 0x30a0
def is_katakana(c):
return 0x30a0 <= ord(c) < 0x3100
def load_definitions(path):
print('Parsing "{0}"...'.format(path))
with codecs.open(path, encoding='euc-jp') as fp:
return filter(lambda x: x and x[0] != '#', fp.read().splitlines())
def parse_kanji_dic(path):
results = {}
for line in load_definitions(path):
segments = line.split()
character = segments[0]
kunyomi = ' '.join(filter(lambda x: list(filter(is_hiragana, x)), segments[1:]))
onyomi = ' '.join(filter(lambda x: list(filter(is_katakana, x)), segments[1:]))
glossary = '; '.join(re.findall('\{([^\}]+)\}', line))
results[character] = (kunyomi or None, onyomi or None, glossary)
return results
def fixup_godan_verbs(tags):
results = []
for tag in tags:
if tag.startswith('v5'):
tag = 'v5'
results.append(tag)
return set(results)
def parse_edict(path):
results = []
for line in load_definitions(path):
segments = line.split('/')
exp_parts = segments[0].split(' ')
expression = exp_parts[0]
reading_match = re.search('\[([^\]]+)\]', exp_parts[1])
reading = None if reading_match is None else reading_match.group(1)
defs = []
tags = set()
for index, dfn in enumerate(filter(None, segments[1:])):
dfn_match = re.search(r'^((?:\((?:[\w\-\,\:]*)*\)\s*)*)(.*)$', dfn)
gloss = dfn_match.group(2).strip()
if len(gloss) == 0:
continue
tags_raw = set(filter(None, re.split(r'[\s\(\),]', dfn_match.group(1))))
tags_raw = fixup_godan_verbs(tags_raw)
tags_raw = tags_raw.intersection(set(PARSED_TAGS.keys()))
tags = tags.union(tags_raw)
if index == 0 or len(dfn_match.group(1)) > 0:
defs.append([gloss])
else:
defs[-1].append(gloss)
result = [expression, reading, ' '.join(tags)]
result += map(lambda x: '; '.join(x), defs)
results.append(result)
indices = {}
for i, d in enumerate(results):
for key in d[:2]:
if key is not None:
values = indices.get(key, [])
values.append(i)
indices[key] = values
return {'defs': results, 'indices': indices}
def build_dict(output_dir, input_file, parser):
if input_file is not None:
base = os.path.splitext(os.path.basename(input_file))[0]
with open(os.path.join(output_dir, base) + '.json', 'w') as fp:
# json.dump(parser(input_file), fp, sort_keys=True, indent=4, separators=(',', ': '))
json.dump(parser(input_file), fp, separators=(',', ':'))
def build(dict_dir, kanjidic, edict, enamdict):
build_dict(dict_dir, kanjidic, parse_kanji_dic)
build_dict(dict_dir, edict, parse_edict)
build_dict(dict_dir, enamdict, parse_edict)
def main():
parser = optparse.OptionParser()
parser.add_option('--kanjidic', dest='kanjidic')
parser.add_option('--edict', dest='edict')
parser.add_option('--enamdict', dest='enamdict')
options, args = parser.parse_args()
if len(args) == 0:
parser.print_help()
else:
build(args[0], options.kanjidic, options.edict, options.enamdict)
if __name__ == '__main__':
main()