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