new-words

annotate new-words.py @ 43:d532e7b52ab2

find changesets by author, revision, files, or words in the commit message
-s key support in new-words.py

Now new-words-py.sh -s works in the same way as new-words.sh.
(WPS and UWPS fields are not calculated correctly yet).
author Igor Chubin <igor@chub.in>
date Fri Jan 28 12:40:58 2011 +0200 (2011-01-28)
parents 3ec83a7cc544
children 7eb1a8c3eade
rev   line source
igor@37 1 #!/usr/bin/env python
igor@38 2 # -*- coding: utf-8 -*-
igor@37 3
igor@40 4 from __future__ import with_statement
igor@38 5 import codecs
igor@38 6 import logging
igor@38 7 import os
igor@37 8 import optparse
igor@38 9 import re
igor@38 10 import subprocess
igor@38 11 import sys
igor@38 12 import Stemmer
igor@42 13 try:
igor@42 14 import psyco
igor@42 15 psyco.full()
igor@42 16 except:
igor@42 17 pass
igor@38 18
igor@38 19 config = {
igor@38 20 'config_directory': os.environ['HOME'] + '/.new-words',
igor@38 21 'language': 'en',
igor@38 22 }
igor@38 23
igor@38 24 logging.basicConfig(filename='/tmp/new-words-py.log', level=logging.DEBUG)
igor@38 25
igor@38 26 class Normalizator:
igor@38 27 def __init__(self, language, linked_words={}):
igor@38 28 stemmer_algorithm = {
igor@38 29 'de' : 'german',
igor@38 30 'en' : 'english',
igor@38 31 'ru' : 'russian',
igor@38 32 'uk' : 'ukrainian',
igor@38 33 }
igor@38 34 self.stemmer = Stemmer.Stemmer(stemmer_algorithm[language])
igor@38 35 self.linked_words = linked_words
igor@38 36
igor@38 37 def normalize(self, word):
igor@38 38 word_chain = []
igor@38 39 while word in self.linked_words and not word in word_chain:
igor@38 40 word_chain.append(word)
igor@38 41 word = self.linked_words[word]
igor@38 42 return self.stemmer.stemWord(word.lower())
igor@37 43
igor@37 44 parser = optparse.OptionParser()
igor@37 45
igor@37 46 parser.add_option(
igor@37 47 "-a", "--no-marks",
igor@37 48 help="don't add marks (and don't save marks added by user)",
igor@37 49 action="store_true",
igor@37 50 dest="no_marks")
igor@37 51
igor@37 52 parser.add_option(
igor@37 53 "-c", "--compressed",
igor@37 54 help="show compressed wordlist: one word per group",
igor@37 55 action="store_true",
igor@37 56 dest="compressed")
igor@37 57
igor@37 58 parser.add_option(
igor@37 59 "-k", "--known-words",
igor@37 60 help="put higher words that are similar to the known words (only for English)",
igor@37 61 action="store_true",
igor@37 62 dest="compressed")
igor@37 63
igor@37 64 parser.add_option(
igor@37 65 "-l", "--language",
igor@37 66 help="specify language of text",
igor@37 67 action="store",
igor@37 68 dest="language")
igor@37 69
igor@37 70 parser.add_option(
igor@38 71 "-f", "--function",
igor@38 72 help="filter through subsystem [INTERNAL]",
igor@38 73 action="store",
igor@38 74 dest="function")
igor@38 75
igor@38 76 parser.add_option(
igor@37 77 "-m", "--merge-tag",
igor@37 78 help="merge words tagged with specified tag into the main vocabulary",
igor@37 79 action="store",
igor@37 80 dest="merge_tag")
igor@37 81
igor@37 82 parser.add_option(
igor@37 83 "-M", "--merge-tagged",
igor@37 84 help="merge words tagged with ANY tag into the main vocabulary",
igor@37 85 action="store_true",
igor@37 86 dest="merge_tagged")
igor@37 87
igor@37 88 parser.add_option(
igor@37 89 "-n", "--non-interactive",
igor@37 90 help="non-interactive mode (don't run vi)",
igor@37 91 action="store_true",
igor@37 92 dest="non_interactive")
igor@37 93
igor@37 94 parser.add_option(
igor@37 95 "-N", "--no-filter",
igor@37 96 help="switch off known words filtering",
igor@37 97 action="store_true",
igor@37 98 dest="no_filter")
igor@37 99
igor@37 100 parser.add_option(
igor@37 101 "-p", "--pages",
igor@37 102 help="work with specified pages only (pages = start-stop/total )",
igor@37 103 action="store",
igor@37 104 dest="pages")
igor@37 105
igor@37 106 parser.add_option(
igor@37 107 "-r", "--remove-tag",
igor@37 108 help="remove subvocabulary of specified tag",
igor@37 109 action="store",
igor@37 110 dest="remove_tag")
igor@37 111
igor@37 112 parser.add_option(
igor@37 113 "-s", "--text-stats",
igor@37 114 help="show the text statistics (percentage of known words and so on) and exit",
igor@37 115 action="store_true",
igor@37 116 dest="text_stats")
igor@37 117
igor@37 118 parser.add_option(
igor@37 119 "-S", "--voc-stats",
igor@37 120 help="show your vocabulary statistics (number of words and word groups)",
igor@37 121 action="store_true",
igor@37 122 dest="voc_stats")
igor@37 123
igor@37 124 parser.add_option(
igor@37 125 "-t", "--tag",
igor@37 126 help="tag known words with tag",
igor@37 127 action="store",
igor@37 128 dest="tag")
igor@37 129
igor@37 130 parser.add_option(
igor@37 131 "-T", "--show-tags",
igor@37 132 help="tag known words with tag",
igor@37 133 action="store_true",
igor@37 134 dest="show_tags")
igor@37 135
igor@37 136 parser.add_option(
igor@37 137 "-2", "--two-words",
igor@37 138 help="find 2 words' sequences",
igor@37 139 action="store_true",
igor@37 140 dest="two_words")
igor@37 141
igor@37 142 parser.add_option(
igor@37 143 "-3", "--three-words",
igor@37 144 help="find 3 words' sequences",
igor@37 145 action="store_true",
igor@37 146 dest="three_words")
igor@37 147
igor@38 148 def readlines_from_file(filename):
igor@38 149 res = []
igor@38 150 with codecs.open(filename, "r", "utf-8") as f:
igor@38 151 for line in f.readlines():
igor@38 152 res += [line]
igor@38 153 return res
igor@38 154
igor@38 155 def readlines_from_stdin():
igor@38 156 return codecs.getreader("utf-8")(sys.stdin).readlines()
igor@38 157
igor@38 158 def words_from_line(line):
igor@38 159 line = line.rstrip('\n')
igor@38 160 #return re.split('(?:\s|[*\r,.:#@()+=<>$;"?!|\[\]^%&~{}«»–])+', line)
igor@38 161 #return re.split('[^a-zA-ZäöëüßÄËÖÜß]+', line)
igor@38 162 return re.compile("(?!')(?:\W)+", flags=re.UNICODE).split(line)
igor@38 163
igor@38 164 def get_words(lines):
igor@38 165 """
igor@38 166 Returns hash of words in a file
igor@38 167 word => number
igor@38 168 """
igor@38 169 result = {}
igor@38 170 for line in lines:
igor@38 171 words = words_from_line(line)
igor@38 172 for word in words:
igor@41 173 if re.match('[0-9]*$', word):
igor@41 174 continue
igor@38 175 result.setdefault(word, 0)
igor@38 176 result[word] += 1
igor@38 177 return result
igor@38 178
igor@38 179 def load_vocabulary():
igor@38 180 return get_words(readlines_from_file("%s/%s.txt"%(config['config_directory'], config['language'])))
igor@38 181
igor@38 182 def notes_filenames():
igor@38 183 return ["%s/notes-%s.txt"%(config['config_directory'], config['language'])]
igor@38 184
igor@38 185 def load_notes(files):
igor@38 186 notes = {}
igor@38 187 for filename in files:
igor@39 188 with codecs.open(filename, "r", "utf-8") as f:
igor@38 189 for line in f.readlines():
igor@38 190 (word, note) = re.split('\s+', line.rstrip('\n'), maxsplit=1)
igor@38 191 notes.setdefault(word, {})
igor@38 192 notes[word][filename] = note
igor@38 193 return notes
igor@38 194
igor@39 195 def add_notes(lines, notes):
igor@39 196 notes_filename = notes_filenames()[0]
igor@39 197 result = []
igor@39 198 for line in lines:
igor@39 199 if line.startswith('#'):
igor@39 200 result += [line]
igor@39 201 else:
igor@39 202 match_object = re.search('^\s*\S+\s*(\S+)', line)
igor@39 203 if match_object:
igor@39 204 word = match_object.group(1)
igor@39 205 if word in notes:
igor@39 206 logging.debug(word)
igor@39 207 logging.debug(line)
igor@39 208 if notes_filename in notes[word]:
igor@39 209 line = line.rstrip('\n')
igor@39 210 line = "%-30s %s\n" % (line, notes[word][notes_filename])
igor@39 211 logging.debug(line)
igor@39 212 result += [line]
igor@39 213 else:
igor@39 214 result += [line]
igor@39 215 else:
igor@39 216 result += [line]
igor@39 217 return result
igor@39 218
igor@39 219 def remove_notes(lines, notes_group):
igor@39 220 notes_filename = notes_filenames()[0]
igor@39 221 notes = {}
igor@39 222 for k in notes_group.keys():
igor@39 223 if notes_filename in notes_group[k]:
igor@39 224 notes[k] = notes_group[k][notes_filename]
igor@39 225
igor@39 226 result = []
igor@39 227 for line in lines:
igor@39 228 line = line.rstrip('\n')
igor@39 229 match_object = re.match('(\s+)(\S+)(\s+)(\S+)(\s+)(.*)', line)
igor@39 230 if match_object:
igor@39 231 result.append("".join([
igor@39 232 match_object.group(1),
igor@39 233 match_object.group(2),
igor@39 234 match_object.group(3),
igor@39 235 match_object.group(4),
igor@39 236 "\n"
igor@39 237 ]))
igor@39 238 notes[match_object.group(4)] = match_object.group(6)
igor@39 239 else:
igor@39 240 result.append(line+"\n")
igor@39 241
igor@39 242 save_notes(notes_filename, notes)
igor@39 243 return result
igor@39 244
igor@39 245 def save_notes(filename, notes):
igor@39 246 lines = []
igor@39 247 saved_words = []
igor@39 248 with codecs.open(filename, "r", "utf-8") as f:
igor@39 249 for line in f.readlines():
igor@39 250 (word, note) = re.split('\s+', line.rstrip('\n'), maxsplit=1)
igor@39 251 if word in notes:
igor@39 252 line = "%-29s %s\n" % (word, notes[word])
igor@39 253 saved_words.append(word)
igor@39 254 lines.append(line)
igor@39 255 for word in [x for x in notes.keys() if not x in saved_words]:
igor@39 256 line = "%-29s %s\n" % (word, notes[word])
igor@39 257 lines.append(line)
igor@39 258
igor@39 259 with codecs.open(filename, "w", "utf-8") as f:
igor@39 260 for line in lines:
igor@39 261 f.write(line)
igor@39 262
igor@39 263
igor@38 264 def substract_dictionary(dict1, dict2):
igor@38 265 """
igor@38 266 returns dict1 - dict2
igor@38 267 """
igor@38 268 result = {}
igor@38 269 for (k,v) in dict1.items():
igor@38 270 if not k in dict2:
igor@38 271 result[k] = v
igor@38 272 return result
igor@38 273
igor@38 274 def dump_words(words, filename):
igor@38 275 with codecs.open(filename, "w+", "utf-8") as f:
igor@38 276 for word in words.keys():
igor@38 277 f.write(("%s\n"%word)*words[word])
igor@38 278
igor@38 279 def error_message(text):
igor@38 280 print text
igor@38 281
igor@40 282 def find_wordgroups_weights(word_pairs, normalizator):
igor@38 283 weight = {}
igor@40 284 for (num, word) in word_pairs:
igor@38 285 normalized = normalizator.normalize(word)
igor@38 286 weight.setdefault(normalized, 0)
igor@40 287 weight[normalized] += num
igor@38 288 return weight
igor@38 289
igor@38 290 def find_linked_words(notes):
igor@38 291 linked_words = {}
igor@38 292 for word in notes.keys():
igor@38 293 for note in notes[word].values():
igor@38 294 if "@" in note:
igor@38 295 result = re.search(r'\@(\S*)', note)
igor@38 296 if result:
igor@38 297 main_word = result.group(1)
igor@38 298 if main_word:
igor@38 299 linked_words[word] = main_word
igor@38 300 return linked_words
igor@38 301
igor@40 302 def compare_word_pairs(pair1, pair2, wgw, normalizator, linked_words):
igor@40 303 (num1, word1) = pair1
igor@40 304 (num2, word2) = pair2
igor@38 305
igor@38 306 normalized_word1 = normalizator.normalize(word1)
igor@38 307 normalized_word2 = normalizator.normalize(word2)
igor@38 308
igor@38 309 cmp_res = cmp(wgw[normalized_word1], wgw[normalized_word2])
igor@38 310 if cmp_res != 0:
igor@38 311 return cmp_res
igor@38 312 else:
igor@38 313 cmp_res = cmp(normalized_word1, normalized_word2)
igor@38 314 if cmp_res != 0:
igor@38 315 return cmp_res
igor@38 316 else:
igor@38 317 return cmp(int(num1), int(num2))
igor@38 318
igor@40 319 def print_words_sorted(word_pairs, stats, print_stats=True, stats_only=False):
igor@40 320 if stats_only:
igor@43 321 codecs.getwriter("utf-8")(sys.stdout).write(
igor@43 322 " ".join([
igor@43 323 "%-10s" % x for x in [
igor@43 324 "LANG",
igor@43 325 "KNOWN%",
igor@43 326 "UNKNOWN%",
igor@43 327 "KNOWN",
igor@43 328 "TOTAL",
igor@43 329 "WPS",
igor@43 330 "UWPS*10"
igor@43 331 ]]) + "\n")
igor@43 332 codecs.getwriter("utf-8")(sys.stdout).write(
igor@43 333 " ".join([
igor@43 334 "%(language)-10s",
igor@43 335 "%(percentage)-10.2f",
igor@43 336 "%(percentage_unknown)-10.2f",
igor@43 337 "%(total_known)-11d"
igor@43 338 "%(total)-11d"
igor@43 339 "%(wps)-11d"
igor@43 340 "%(uwps)-11d"
igor@43 341 ]) % stats + "\n")
igor@40 342 return
igor@38 343
igor@40 344 if print_stats:
igor@40 345 codecs.getwriter("utf-8")(sys.stdout).write(
igor@43 346 "# %(language)s, %(percentage)-7.2f, <%(total_known)s/%(total)s>, <%(groups)s/%(words)s>\n" % stats)
igor@38 347
igor@40 348 level_lines = range(int(float(stats['percentage']))/5*5+5,95,5)+range(90,102)
igor@40 349 known = int(stats['total_known'])
igor@40 350 total = int(stats['total'])
igor@40 351 current_level = 0
igor@40 352 for word_pair in word_pairs:
igor@40 353 codecs.getwriter("utf-8")(sys.stdout).write("%10s %s\n" % word_pair)
igor@40 354 known += word_pair[0]
igor@40 355 if 100.0*known/total >= level_lines[0]:
igor@40 356 current_level = level_lines[0]
igor@40 357 while 100.0*known/total > level_lines[0]:
igor@40 358 current_level = level_lines[0]
igor@40 359 level_lines = level_lines[1:]
igor@40 360 codecs.getwriter("utf-8")(sys.stdout).write("# %s\n" % current_level)
igor@38 361
igor@39 362 def filter_add_notes(args):
igor@39 363 lines = readlines_from_file(args[0])
igor@39 364 notes = load_notes(notes_filenames())
igor@39 365 lines = add_notes(lines, notes)
igor@39 366 with codecs.open(args[0], "w", "utf-8") as f:
igor@39 367 for line in lines:
igor@39 368 f.write(line)
igor@39 369
igor@39 370 def filter_remove_notes(args):
igor@39 371 lines = readlines_from_file(args[0])
igor@39 372 notes = load_notes(notes_filenames())
igor@39 373 lines = remove_notes(lines, notes)
igor@39 374 with codecs.open(args[0], "w", "utf-8") as f:
igor@39 375 for line in lines:
igor@39 376 f.write(line)
igor@39 377
igor@40 378 def filter_get_words_group_words_add_stat(args):
igor@40 379 vocabulary = load_vocabulary()
igor@40 380 notes = load_notes(notes_filenames())
igor@40 381 lines = readlines_from_stdin()
igor@40 382 words = get_words(lines)
igor@43 383 stats_only = False
igor@43 384 if 'STAT_ONLY' in os.environ and os.environ['STAT_ONLY'] == 'YES':
igor@43 385 stats_only = True
igor@40 386
igor@40 387 stats = {}
igor@40 388 stats['total'] = sum(words[x] for x in words.keys())
igor@40 389 words = substract_dictionary(words, vocabulary)
igor@40 390
igor@40 391 stats['total_unknown'] = sum(words[x] for x in words.keys())
igor@40 392 stats['total_known'] = stats['total'] - stats['total_unknown']
igor@43 393 stats['percentage'] = 100.0*stats['total_known']/stats['total']
igor@43 394 stats['percentage_unknown'] = 100.0-100.0*stats['total_known']/stats['total']
igor@40 395 stats['groups'] = 0
igor@40 396 stats['words'] = len(words)
igor@43 397 stats['sentences'] = 0 #FIXME
igor@43 398 stats['wps'] = 0 #FIXME
igor@43 399 stats['uwps'] = 0 #FIXME
igor@40 400 stats['language'] = config['language']
igor@40 401
igor@40 402 linked_words = find_linked_words(notes)
igor@40 403 normalizator = Normalizator(config['language'], linked_words)
igor@40 404
igor@40 405 word_pairs = []
igor@40 406 for k in sorted(words.keys(), key=lambda k: words[k], reverse=True):
igor@40 407 word_pairs.append((words[k], k))
igor@40 408
igor@40 409 wgw = find_wordgroups_weights(word_pairs, normalizator)
igor@40 410 word_pairs = sorted(
igor@40 411 word_pairs,
igor@40 412 cmp=lambda x,y:compare_word_pairs(x,y, wgw, normalizator, linked_words),
igor@40 413 reverse=True)
igor@40 414
igor@43 415 print_words_sorted(word_pairs, stats, stats_only=stats_only)
igor@40 416
igor@37 417 (options, args) = parser.parse_args()
igor@38 418 if options.language:
igor@38 419 config['language'] = options.language
igor@37 420
igor@38 421 if options.function:
igor@38 422 function_names = {
igor@39 423 'add_notes' : filter_add_notes,
igor@39 424 'remove_notes': filter_remove_notes,
igor@40 425 'get_words_group_words_add_stat': filter_get_words_group_words_add_stat,
igor@38 426 }
igor@38 427 if options.function in function_names:
igor@38 428 function_names[options.function](args)
igor@38 429 else:
igor@38 430 error_message("Unkown function %s.\nAvailable functions:\n%s" % (
igor@38 431 options.function, "".join([" "+x for x in sorted(function_names.keys())])))
igor@38 432 sys.exit(1)
igor@37 433
igor@37 434
igor@37 435
igor@37 436
igor@38 437 #os.system("vim")
igor@37 438