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segmenterhelper.py
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249 lines (207 loc) · 9.95 KB
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'''
Copyright 2011 by Chad Redman <chad at zhtoolkit.com>
License: GNU GPL, version 3 or later; http://www.gnu.org/copyleft/gpl.html
'''
import segmenter
import os
# The data here gets refreshed when called
class SegmenterHelper:
#from segmenter import Dictionary, Statistics, Segmenter
def addMessage(self, text):
try:
self.messages.append(unicode(text, "utf-8"))
#self.messages.append(text)
except TypeError:
try:
self.messages.append(text)
except:
print "Failed to log error message for %s" % text
self.messages.append("Failed to log error message! Run in console to see details")
def getMessages(self):
return "\n".join(self.messages)
def setText(self, text):
self.text = text
def __init__(self, runningDir):
self.text = ''
self.results = ''
self.summary = ''
self.messages = []
self.runningDir = runningDir
self.dicts = []
self.filterwords = []
self.config = None
self.stats = {} # a mapping between filenames and data list
self.statFiles = {} # a mapping between filenames and heading
def LoadData(self, updatefunction=None):
'Called when first starting the program, or when preference change sets dirtyDicts'
config = self.config
if config['charset']:
charset = config['charset']
else:
charset = 'simplified'
self.dicts = []
for dictname in config['dictionaries']:
self.addMessage("Loading dictionary %s ..." % dictname)
dictFile = os.path.join(config.appDir, 'dict', dictname)
dict = segmenter.Dictionary(dictFile, format='cedict', verbose=True, updatefunction=updatefunction)
if dict.messages != None:
for elem in dict.messages:
self.addMessage(elem)
# add a blank line
self.addMessage("Loaded dictionary %s, %d words" % (dictname, dict.getWordCount()))
self.dicts.append(dict)
self.seg = segmenter.Segmenter(charset, self.dicts, self.stats)
self.addMessage("")
def LoadKnownWords(self, updatefunction=None):
self.filterwords = []
for filtername in self.config['filters']:
self.LoadFilterFile(os.path.join(self.config.appDir, 'filter', filtername))
self.addMessage("Loaded filtered word file %s" % filtername)
self.addMessage("")
def LoadExtraColumns(self):
charset = self.config['charset']
self.stats={}
for statfile in self.config['extracolumns']:
self.LoadStatisticsFile(self.config, statfile, charset)
self.seg.setStatistics(self.stats)
def LoadFilterFile(self, filename):
import re
try:
fh = open(filename) #throws IOError
except Exception, ex:
self.addMessage("**Error: Failed to load filter file %s: (%s)" % (filename, ex))
return 0
lineno = 0
try:
for line in fh.read().splitlines():
lineno += 1
if not re.match('\s*#', unicode(line, "utf-8")):
m = re.match('[^ \t]+', unicode(line, "utf-8"))
if m:
self.filterwords.append(m.group(0))
finally:
fh.close()
return lineno
def LoadStatisticsFile(self, config, filename, charset):
fullpath = os.path.join(config.appDir, 'data', charset, filename)
try:
#self.stats.append(segmenter.Statistics(fullpath, 'tab', keyword, charset))
stat = segmenter.Statistics(fullpath, 'tab', charset)
self.stats[filename] = stat
self.statFiles[filename] = stat.statisticType
self.addMessage("Loaded extra column data file %s/%s" % (charset, filename))
except IOError as (errno, strerror):
self.addMessage("**Failed to load data file %s: %s" % (fullpath, strerror))
def ReadFiles(self, filelist):
# Autodetect the encoding, so that the user doesn't need to worry about utf8 vs. utf16, little endian, etc
# uses the chardet module from:
# http://chardet.feedparser.org/
# Universal Encoding Detector: character encoding auto-detection in Python
import chardet
text = ''
filelist.sort()
for f in filelist:
try:
#text += '%s [%s]\n%s' % (segmenter.Segmenter.sectionBreakChar, f, unicode(open(f, 'r').read(), encoding))
rawdata = open(f, 'rb').read(-1)
detector = chardet.detect(rawdata)
self.addMessage("File %s loaded: %i bytes" % (f.encode('utf-8'), len(rawdata)))
self.addMessage("Detected encoding: %s\n" % detector)
text += '%s [%s]\n%s' % (segmenter.Segmenter.sectionBreakChar, f, unicode(rawdata, detector["encoding"]))
except UnicodeDecodeError, e:
self.addMessage("%s error while loading file %s: failed to decode from encoding '%s'. Filesize was %d" % (type(e), f, detector["encoding"], len(rawdata)))
self.text = text
return self.text
def SummarizeResults(self, updatefunction=None):
self.summary = ''
self.results = ''
self.addMessage("Analyzing text ...")
self.summary += "Length of text = %d" % len(self.text) + "\n"
results = self.seg.segment(self.text, updatefunction, None) #"ReversedLongestMatch"
self.summary += "\n\nResults.tokens (%d)" % len(results.tokens) + "\n"
self.tokens = ' | '.join(t.text for t in results.tokens)
# for lex in results.tokens:
# sys.stdout.write(lex.text)
self.results += '\t'.join(
[
"Word num.",
"Running total words",
"text",
"num. occur.",
"1st occur."
] +
[ self.statFiles[filename] for filename in self.config["extracolumns"] ] +
[
"traditional",
"simplified",
"pinyin",
"english",
"sample sentence"
]) + "\n"
wordctGross = 0
wordctNet = 0
wordUniqueGross = 0
wordUniqueNet = 0
for lex in results.lexList:
word = results.words[lex.text]
if word == None:
self.results += '\t'.join(
[
'',
'',
lex.text,
str(len(lex.indexes)),
str(lex.indexes[0])
] +
[ '' for y in self.config["extracolumns"]] +
[
'',
'',
'',
'Unknown',
''
]
) + "\n"
elif word.isSectionBreak():
self.results += "-------------------\t%s" % (lex.text) + "\n"
else:
wordctGross += len(lex.indexes)
wordUniqueGross += 1
if lex.text not in self.filterwords:
#print '\t'.join( (lex.text, str(len(lex.indexes)), str(lex.indexes[0]), word.getStatistic('hsk_level'), word.getStatistic('frequency_per_million'), word.getStatistic('chengyu_num_sources'), str(word.getDefinition()), str(results.findFirstSentence(lex))) )
wordUniqueNet += 1
wordctNet += len(lex.indexes)
self.results += '\t'.join(
[
str(wordUniqueNet),
str(wordctNet),
lex.text,
str(len(lex.indexes)),
str(lex.indexes[0])
] +
[ word.getStatistic(self.statFiles[y]) for y in self.config["extracolumns"]] +
[
word.getDefinition(),
results.findFirstSentence(lex)
]
) + "\n"
#self.results += '\t'.join( (str(wordUniqueNet), str(wordctNet))) + "\t"
#self.results += '\t'.join( (str(wordUniqueNet), lex.text)) + "\t"
#self.results += '\t'.join( (str(wordUniqueNet), str(len(lex.indexes)), str(lex.indexes[0]), word.getStatistic('hsk_level'), word.getStatistic('frequency_per_million'), word.getStatistic('chengyu_num_sources'))) + "\t"
#self.results += '\t'.join( ( unicode(word.getDefinition(), "utf-8") )) + "\t"
#self.results += '\t'.join( (results.findFirstSentence(lex))) + "\n"
self.summary += "\n\nTotal count of Chinese words in text: %d" % wordctGross + "\n"
self.summary += "Total count of filtered Chinese words: %d" % wordctNet + "\n"
self.summary += "\nTotal count of unique Chinese words: %d" % wordUniqueGross + "\n"
self.summary += "Total count of unique filtered Chinese words: %d" % wordUniqueNet + "\n"
def GetFileItems(self, directory):
import stat
choices = []
for filename in os.listdir(directory):
try:
st = os.stat(os.path.join(directory, filename))
except os.error:
continue
if stat.S_ISREG(st.st_mode):
choices.append(filename)
return choices