nixpkgs/pkgs/servers/dict/wordnet_structures.py
2023-01-09 20:40:28 +01:00

321 lines
11 KiB
Python
Executable File

#!/usr/bin/env python3
#Copyright 2007 Sebastian Hagen
# This file is part of wordnet_tools.
# wordnet_tools is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License version 2
# as published by the Free Software Foundation
# wordnet_tools 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 wordnet_tools; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
# This program requires python >= 2.4.
# This program converts wordnet index/data file pairs into dict index/data
# files usable by dictd.
# This is basically a reimplementation of the wnfilter program by Rik Faith,
# which unfortunately doesn't work correctly for wordnet files in the newer
# formats. This version of wordnet_structures whould parse wordnet 2.1 files
# correctly, and create output very similar to what wnfilter would have
# written.
import datetime
import math
from textwrap import TextWrapper
CAT_ADJECTIVE = 0
CAT_ADVERB = 1
CAT_NOUN = 2
CAT_VERB = 3
category_map = {
'n': CAT_NOUN,
'v': CAT_VERB,
'a': CAT_ADJECTIVE,
's': CAT_ADJECTIVE,
'r': CAT_ADVERB
}
class WordIndex:
def __init__(self, lemma, category, ptrs, synsets, tagsense_count):
self.lemma = lemma
self.category = category
self.ptrs = ptrs
self.synsets = synsets
self.tagsense_count = tagsense_count
@classmethod
def build_from_line(cls, line_data, synset_map):
line_split = line_data.split()
lemma = line_split[0]
category = category_map[line_split[1]]
synset_count = int(line_split[2],10)
ptr_count = int(line_split[3],10)
ptrs = [line_split[i] for i in range(3, 3+ptr_count)]
tagsense_count = int(line_split[5 + ptr_count],10)
synsets = [synset_map[int(line_split[i],10)] for i in range(6 + ptr_count, 6 + ptr_count + synset_count)]
return cls(lemma, category, ptrs, synsets, tagsense_count)
@classmethod
def build_from_file(cls, f, synset_map, rv_base=None):
if (rv_base is None):
rv = {}
else:
rv = rv_base
for line in f:
if (line.startswith(' ')):
continue
wi = cls.build_from_line(line, synset_map)
word = wi.lemma.lower()
if not (word in rv):
rv[word] = []
rv[word].append(wi)
return rv
def __repr__(self):
return '%s%s' % (self.__class__.__name__, (self.lemma, self.category, self.ptrs, self.synsets, self.tagsense_count))
class WordIndexDictFormatter(WordIndex):
category_map_rev = {
CAT_NOUN: 'n',
CAT_VERB: 'v',
CAT_ADJECTIVE: 'adj',
CAT_ADVERB: 'adv'
}
linesep = '\n'
LINE_WIDTH_MAX = 68
prefix_fmtf_line_first = '%5s 1: '
prefix_fmtn_line_first = ' '
prefix_fmtf_line_nonfirst = '%5d: '
prefix_fmtn_line_nonfirst = ' '
def dict_str(self):
tw = TextWrapper(width=self.LINE_WIDTH_MAX,
initial_indent=(self.prefix_fmtf_line_first % self.category_map_rev[self.category]),
subsequent_indent=self.prefix_fmtn_line_first)
lines = (tw.wrap(self.synsets[0].dict_str()))
i = 2
for synset in self.synsets[1:]:
tw = TextWrapper(width=self.LINE_WIDTH_MAX,
initial_indent=(self.prefix_fmtf_line_nonfirst % i),
subsequent_indent=self.prefix_fmtn_line_nonfirst)
lines.extend(tw.wrap(synset.dict_str()))
i += 1
return self.linesep.join(lines)
class Synset:
def __init__(self, offset, ss_type, words, ptrs, gloss, frames=()):
self.offset = offset
self.type = ss_type
self.words = words
self.ptrs = ptrs
self.gloss = gloss
self.frames = frames
self.comments = []
@classmethod
def build_from_line(cls, line_data):
line_split = line_data.split()
synset_offset = int(line_split[0],10)
ss_type = category_map[line_split[2]]
word_count = int(line_split[3],16)
words = [line_split[i] for i in range(4, 4 + word_count*2,2)]
ptr_count = int(line_split[4 + word_count*2],10)
ptrs = [(line_split[i], line_split[i+1], line_split[i+2], line_split[i+3]) for i in range(5 + word_count*2,4 + word_count*2 + ptr_count*4,4)]
tok = line_split[5 + word_count*2 + ptr_count*4]
base = 6 + word_count*2 + ptr_count*4
if (tok != '|'):
frame_count = int(tok, 10)
frames = [(int(line_split[i+1],10), int(line_split[i+2],16)) for i in range(base, base + frame_count*3, 3)]
base += frame_count*3 + 1
else:
frames = []
line_split2 = line_data.split(None, base)
if (len(line_split2) < base):
gloss = None
else:
gloss = line_split2[-1]
return cls(synset_offset, ss_type, words, ptrs, gloss, frames)
@classmethod
def build_from_file(cls, f):
rv = {}
comments = []
for line in f:
if (line.startswith(' ')):
line_s = line.lstrip().rstrip('\n')
line_elements = line_s.split(None,1)
try:
int(line_elements[0])
except ValueError:
continue
if (len(line_elements) == 1):
line_elements.append('')
comments.append(line_elements[1])
continue
synset = cls.build_from_line(line.rstrip())
rv[synset.offset] = synset
return (rv, comments)
def dict_str(self):
rv = self.gloss
if (len(self.words) > 1):
rv += ' [syn: %s]' % (', '.join([('{%s}' % word) for word in self.words]))
return rv
def __repr__(self):
return '%s%s' % (self.__class__.__name__, (self.offset, self.type, self.words, self.ptrs, self.gloss, self.frames))
class WordnetDict:
db_info_fmt = '''This file was converted from the original database on:
%(conversion_datetime)s
The original data is available from:
%(wn_url)s
The original data was distributed with the notice shown below. No
additional restrictions are claimed. Please redistribute this changed
version under the same conditions and restriction that apply to the
original version.\n\n
%(wn_license)s'''
datetime_fmt = '%Y-%m-%dT%H:%M:%S'
base64_map = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'
def __init__(self, wn_url, desc_short, desc_long):
self.word_data = {}
self.wn_url = wn_url
self.desc_short = desc_short
self.desc_long = desc_long
self.wn_license = None
def wn_dict_add(self, file_index, file_data):
file_data.seek(0)
file_index.seek(0)
(synsets, license_lines) = Synset.build_from_file(file_data)
WordIndexDictFormatter.build_from_file(file_index, synsets, self.word_data)
if (license_lines):
self.wn_license = '\n'.join(license_lines) + '\n'
@classmethod
def base64_encode(cls, i):
"""Encode a non-negative integer into a dictd compatible base64 string"""
if (i < 0):
raise ValueError('Value %r for i is negative' % (i,))
r = 63
e = 1
while (r < i):
e += 1
r = 64**e - 1
rv = ''
while (e > 0):
e -= 1
d = math.floor(i / 64**e)
rv += cls.base64_map[d]
i = i % (64**e)
return rv
@classmethod
def dict_entry_write(cls, file_index, file_data, key, entry, linesep='\n'):
"""Write a single dict entry for <key> to index and data files"""
entry_start = file_data.tell()
file_data.write(entry)
entry_len = len(entry)
file_index.write('%s\t%s\t%s%s' % (key, cls.base64_encode(entry_start),
cls.base64_encode(entry_len), linesep))
def dict_generate(self, file_index, file_data):
file_index.seek(0)
file_data.seek(0)
# The dictd file format is fairly iffy on the subject of special
# headwords: either dictd is buggy, or the manpage doesn't tell the whole
# story about the format.
# The upshot is that order of these entries in the index *matters*.
# Putting them at the beginning and in alphabetic order is afaict ok.
# Some other orders completely and quietly break the ability to look
# those headwords up.
# -- problem encountered with 1.10.2, at 2007-08-05.
file_data.write('\n')
wn_url = self.wn_url
conversion_datetime = datetime.datetime.now().strftime(self.datetime_fmt)
wn_license = self.wn_license
self.dict_entry_write(file_index, file_data, '00-database-info', '00-database-info\n%s\n' % (self.db_info_fmt % vars()))
self.dict_entry_write(file_index, file_data, '00-database-long', '00-database-long\n%s\n' % self.desc_long)
self.dict_entry_write(file_index, file_data, '00-database-short', '00-database-short\n%s\n' % self.desc_short)
self.dict_entry_write(file_index, file_data, '00-database-url', '00-database-url\n%s\n' % self.wn_url)
words = list(self.word_data.keys())
words.sort()
for word in words:
for wi in self.word_data[word]:
word_cs = word
# Use case-sensitivity information of first entry of first synset that
# matches this word case-insensitively
for synset in wi.synsets:
for ss_word in synset.words:
if (ss_word.lower() == word_cs.lower()):
word_cs = ss_word
break
else:
continue
break
else:
continue
break
outstr = ''
for wi in self.word_data[word]:
outstr += wi.dict_str() + '\n'
outstr = '%s%s%s' % (word_cs, wi.linesep, outstr)
self.dict_entry_write(file_index, file_data, word_cs, outstr, wi.linesep)
file_index.truncate()
file_data.truncate()
if (__name__ == '__main__'):
import optparse
op = optparse.OptionParser(usage='usage: %prog [options] (<wn_index_file> <wn_data_file>)+')
op.add_option('-i', '--outindex', dest='oi', default='wn.index', help='filename of index file to write to')
op.add_option('-d', '--outdata', dest='od', default='wn.dict', help='filename of data file to write to')
op.add_option('--wn_url', dest='wn_url', default='ftp://ftp.cogsci.princeton.edu/pub/wordnet/2.0', help='URL for wordnet sources')
op.add_option('--db_desc_short', dest='desc_short', default=' WordNet (r) 2.1 (2005)', help='short dict DB description')
op.add_option('--db_desc_long', dest='desc_long', default=' WordNet (r): A Lexical Database for English from the\n Cognitive Science Laboratory at Princeton University', help='long dict DB description')
(options, args) = op.parse_args()
wnd = WordnetDict(wn_url=options.wn_url, desc_short=options.desc_short, desc_long=options.desc_long)
for i in range(0,len(args),2):
print('Opening index file %r...' % args[i])
file_index = open(args[i])
print('Opening data file %r...' % args[i+1])
file_data = open(args[i+1])
print('Parsing index file and data file...')
wnd.wn_dict_add(file_index, file_data)
print('All input files parsed. Writing output to index file %r and data file %r.' % (options.oi, options.od))
wnd.dict_generate(open(options.oi, 'w'),open(options.od, 'w'))
print('All done.')