124 行
7.4 KiB
Python
124 行
7.4 KiB
Python
"""Losslessly convert CrabKeyboard's V5 trie into bounded, digit-indexed shards."""
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import argparse, hashlib, json, pathlib, re
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APP = pathlib.Path(__file__).resolve().parents[1]
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GROUPS = ['abc', 'def', 'ghi', 'jkl', 'mno', 'pqrs', 'tuv', 'wxyz']
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T9 = {letter: str(i + 2) for i, group in enumerate(GROUPS) for letter in group}
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GROUPS14 = ['qw','er','ty','ui','op','as','df','gh','jk','l','zx','cv','bn','m']
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KEY14 = {letter: '0123456789abcd'[i] for i, group in enumerate(GROUPS14) for letter in group}
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def predictive_bucket(value):
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result=0
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for ch in value:result=(result*31+ord(ch))&0xffff
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return format(result%256,'02x')
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def associations(entries,frequencies):
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"""Derive bounded word continuations from licensed phrases; no user corpus."""
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result={}
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for word in {word for words in entries.values()for word in words}:
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frequency=frequencies.get(word,0)
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if frequency<20 or not re.fullmatch(r'[\u3400-\u9fff]{2,12}',word):continue
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for cut in range(1,min(4,len(word)-1)+1):
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prefix,suffix=word[:cut],word[cut:]
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result.setdefault(prefix,{})[suffix]=round(frequency/(1+.25*len(suffix)))
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# Small, original conversational defaults supplement dictionary word splits.
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seeds=json.loads((APP/'src/common/association-seeds.json').read_text(encoding='utf-8'))
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for prefix,words in seeds.items():
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for rank,word in enumerate(words):result.setdefault(prefix,{})[word]=200000-rank*10000
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return {prefix:sorted(words.items(),key=lambda x:(-x[1],x[0]))[:8]for prefix,words in sorted(result.items())}
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def completions(entries,frequencies):
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result={}
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for key,words in entries.items():
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for mode,code in [('py',key),('t9',''.join(T9[ch]for ch in key)),('14',''.join(KEY14[ch]for ch in key))]:
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for length in range(2,min(3 if mode!='14'else 2,len(code)-1)+1):
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if len(code)-length>4:continue
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target=result.setdefault(mode+':'+code[:length],{})
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for ordinal,word in enumerate(words):
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frequency=frequencies.get(word,0)
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if frequency<20:continue
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value=[word,key,frequency,ordinal]
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if word not in target or target[word][2]<frequency:target[word]=value
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return {prefix:sorted(words.values(),key=lambda x:(-x[2],len(x[1]),x[3],x[0]))[:12]for prefix,words in sorted(result.items())}
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def from94(value):
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number = 0
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for ch in value:
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assert 33 <= ord(ch) <= 126
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number = number * 94 + ord(ch) - 33
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return number
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def convert(source, target):
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files = {p.name: p.read_bytes() for p in source.glob('*.dat')}
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frequency_path=APP/'third_party/jieba/dict.txt'
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frequencies={}
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if frequency_path.exists():
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for line in frequency_path.read_text(encoding='utf-8').splitlines():
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parts=line.split(' ')
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if len(parts)>=2 and parts[1].isdigit():frequencies[parts[0]]=int(parts[1])
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entries = {}
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def walk(key, depth, position, length):
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data = files['key%d.dat' % depth][position:position+length].decode('ascii')
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for item in data.split('\x1e'):
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if not item: continue
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char = item[0]
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off, size = map(from94, item[1:].split('\x1f'))
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if char == '_':
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words = files['value%d.dat' % depth][off:off+size].decode('utf-8').split(' ')
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entries[key] = [word for word in words if word]
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else:
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walk(key+char, depth+1, off, size)
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walk('', 0, 0, len(files['key0.dat']))
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shards = {}
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for key, words in sorted(entries.items()):
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digits = ''.join(T9[ch] for ch in key)
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bucket = digits[:4] if len(digits) >= 4 else 's'+digits
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shards.setdefault(bucket, {})[key] = words
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code14 = ''.join(KEY14[ch] for ch in key)
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bucket14 = 'd'+code14[:3] if len(code14)>=3 else 'ds'+code14
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shards.setdefault(bucket14,{})[key]=words
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target.mkdir(parents=True, exist_ok=True)
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assert target.resolve().is_relative_to((APP/'src/assets').resolve())
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# Only replace files listed in the previous generated manifest.
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if (target/'meta.json').exists():
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previous=json.loads((target/'meta.json').read_text(encoding='utf-8'))
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for name in previous['shards']:
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assert re.fullmatch(r'(?:short|s?[0-9]+|ds?[0-9a-d]+)',name)
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old=target/(name+'.json')
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if name not in shards and old.exists():old.unlink()
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for name, content in shards.items():
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weights={word:frequencies[word] for words in content.values() for word in words if word in frequencies}
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output=target/(name+'.json')
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data=json.dumps({'entries':content,'frequencies':weights}, ensure_ascii=False, separators=(',', ':')).encode('utf-8')
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if not output.exists() or output.read_bytes()!=data:output.write_bytes(data)
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association_shards={};completion_shards={}
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for prefix,items in associations(entries,frequencies).items():association_shards.setdefault('a'+predictive_bucket(prefix),{})[prefix]=items
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for prefix,items in completions(entries,frequencies).items():completion_shards.setdefault('c'+predictive_bucket(prefix),{})[prefix]=items
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for name,content in {**association_shards,**completion_shards}.items():
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(target/(name+'.json')).write_text(json.dumps(content,ensure_ascii=False,separators=(',',':')),encoding='utf-8',newline='\n')
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# Every original candidate remains accessible, in original per-key order.
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restored = {};restored14={}
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for name in shards:
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(restored14 if name.startswith('d')else restored).update(json.loads((target/(name+'.json')).read_text(encoding='utf-8'))['entries'])
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assert restored == entries and restored14 == entries
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report = dict(upstream='https://github.com/crabPangXie/crabKeyboard',
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commit='93d36b5002dee80a3d253b1ec7ec9e29800a104c',
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variant='pinyinDictV5_20260416', keys=len(entries),
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candidates=sum(map(len, entries.values())), shards=sorted(shards),
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t9_shards=sum(not name.startswith('d')for name in shards),
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key14_shards=sum(name.startswith('d')for name in shards),key14_groups=GROUPS14,key14_prefix_length=3,
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largest_shard_bytes=max((target/(name+'.json')).stat().st_size for name in shards),
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association_shards=sorted(association_shards),completion_shards=sorted(completion_shards),
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predictive_largest_shard_bytes=max((target/(name+'.json')).stat().st_size for name in [*association_shards,*completion_shards]),
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source_files={name:hashlib.sha256(data).hexdigest() for name,data in sorted(files.items())})
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if frequency_path.exists():report['t9_frequency_source']={'project':'jieba 0.42.1','license':'MIT','sha256':hashlib.sha256(frequency_path.read_bytes()).hexdigest()}
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output=target/'meta.json';data=(json.dumps(report, ensure_ascii=False, indent=2)+'\n').encode('utf-8')
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if not output.exists() or output.read_bytes()!=data:output.write_bytes(data)
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print(json.dumps({**{k:v for k,v in report.items() if k not in ['source_files','shards']},'shards':len(shards)}, ensure_ascii=False))
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument('--source', type=pathlib.Path, default=APP/'third_party/crabKeyboard/pinyinDictV5_20260416')
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parser.add_argument('--target', type=pathlib.Path, default=APP/'src/assets/ime-dict')
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args = parser.parse_args(); convert(args.source, args.target)
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