def run():
start = time.time()
# update DBs
for dPath in deckPaths:
deck = getDeck( dPath )
if not deck: continue
try:
dm = DeckMgr( deck )
if dm.cfg['enabled'] == 'yes':
dm.updateDbs()
dm.saveCfg()
finally:
closeDeck( deck )
upDbTime = time.time()
log( 'Dbs updated in %f' % (upDbTime-start) )
# update decks
for dPath in deckPaths:
deck = getDeck( dPath )
if not deck: continue
try:
dm = DeckMgr( deck )
if dm.cfg['enabled'] == 'yes':
dm.updateDeck()
dm.saveCfg()
finally:
closeDeck( deck )
util.lastUpdate = upDeckTime = time.time()
log( 'Decks updated in %f' % (upDeckTime-upDbTime) )
log( 'Full update completed in %d sec' % (upDeckTime-start) )
infoMsg('MorphMan Full update completed in %d sec' % ( upDeckTime-start ))
def onSaveResults(self):
destPath = QFileDialog.getSaveFileName(caption='Save results to?',
directory=dbsPath + os.sep +
'results.db')
if not destPath: return
if not hasattr(self, 'db'): return errorMsg('No results to save')
self.db.save(str(destPath))
infoMsg('Saved successfully')
def onExtractTxtFile( self ):
srcPath = QFileDialog.getOpenFileName( caption='Text file to extract from?', directory=util.dbPath )
if not srcPath: return
destPath = QFileDialog.getSaveFileName( caption='Save morpheme db to?', directory=util.dbPath + 'textFile.db' )
if not destPath: return
db = M.MorphDb.mkFromFile( str(srcPath) )
db.save( str(destPath) )
infoMsg( 'Success', 'Txt Extract' )
def onExtractTxtFile( self ):
srcPath = QFileDialog.getOpenFileName( caption='Text file to extract from?', directory=dbsPath )
if not srcPath: return
destPath = QFileDialog.getSaveFileName( caption='Save morpheme db to?', directory=dbsPath + os.sep + 'textFile.db' )
if not destPath: return
mat = cfg1('text file import maturity')
db = MorphDb.mkFromFile( str(srcPath), getAllMorphemizers()[self.morphemizerComboBox.currentIndex()], mat )
if db:
db.save( str(destPath) )
infoMsg( 'Extracted successfully' )
def post( st ): util.killMecab( st ) allM = st['db'].keys() # morphemes to learn allF = uniqueFlatten( st['mfmap'].values() ) # facts to learn from ps = getMatches( st, allM, allF ) infoMsg( 'Successfully matched %d pairs.' % len(ps), p=st['ed'] ) for m,f in ps: f['matchedMorpheme'] = u'%s' % m.base infoMsg( 'Saved' )
def restartAuto( self ):
try:
util.updater.term()
except AttributeError: pass # no updater instance yet
except ValueError: pass # bad tid => already stopped
except ThreadError: pass # not active
except SystemError: # async exc failed
errorMsg( 'Unable to stop auto' )
auto.main()
infoMsg( 'Restarted' )
def onExtractTxtFile( self ):
srcPath = QFileDialog.getOpenFileName( caption='Text file to extract from?', directory=dbsPath )
if not srcPath: return
destPath = QFileDialog.getSaveFileName( caption='Save morpheme db to?', directory=dbsPath + os.sep + 'textFile.db' )
if not destPath: return
mat = cfg1('text file import maturity')
db = MorphDb.mkFromFile( str(srcPath), mat )
if db:
db.save( str(destPath) )
infoMsg( 'Extracted successfully' )
def post(st):
util.killMecab(st)
allM = st['db'].keys() # morphemes to learn
allF = uniqueFlatten(st['mfmap'].values()) # facts to learn from
ps = getMatches(st, allM, allF)
infoMsg('Successfully matched %d pairs.' % len(ps), p=st['ed'])
for m, f in ps:
f['matchedMorpheme'] = u'%s' % m.base
infoMsg('Saved')
def onGo( self ):
mFmt = unicode( self.matureFmt.text() )
kFmt = unicode( self.knownFmt.text() )
uFmt = unicode( self.unknownFmt.text() )
morphemizer = getAllMorphemizers()[self.morphemizer.currentIndex()]
inFile = QFileDialog.getOpenFileName( caption='Dueling subs to process', directory=dbsPath )
if not inFile: return
outFile = QFileDialog.getSaveFileName( caption='Save adaptive subs to', directory=dbsPath )
if not outFile: return
adaptiveSubs.run( inFile, outFile, morphemizer, mFmt, kFmt, uFmt )
infoMsg( 'Completed successfully' )
def onGo( self ):
mFmt = unicode( self.matureFmt.text() )
kFmt = unicode( self.knownFmt.text() )
uFmt = unicode( self.unknownFmt.text() )
morphemizer = getAllMorphemizers()[self.morphemizer.currentIndex()]
inFile = QFileDialog.getOpenFileName( caption='Dueling subs to process', directory=dbsPath )
if not inFile: return
outFile = QFileDialog.getSaveFileName( caption='Save adaptive subs to', directory=dbsPath )
if not outFile: return
adaptiveSubs.run( inFile, outFile, morphemizer, mFmt, kFmt, uFmt )
infoMsg( 'Completed successfully' )
def onGo( self ):
ws = parseWhitelist( self.whitelist.text() )
bs = parseWhitelist( self.blacklist.text() )
mFmt = unicode( self.matureFmt.text() )
kFmt = unicode( self.knownFmt.text() )
uFmt = unicode( self.unknownFmt.text() )
inFile = QFileDialog.getOpenFileName( caption='Dueling subs to process', directory=dbsPath )
if not inFile: return
outFile = QFileDialog.getSaveFileName( caption='Save adaptive subs to', directory=dbsPath )
if not outFile: return
adaptiveSubs.run( inFile, outFile, ws, bs, mFmt, kFmt, uFmt )
infoMsg( 'Completed successfully' )
def onGo( self ):
ws = parseWhitelist( self.whitelist.text() )
bs = parseWhitelist( self.blacklist.text() )
mFmt = unicode( self.matureFmt.text() )
kFmt = unicode( self.knownFmt.text() )
uFmt = unicode( self.unknownFmt.text() )
inFile = QFileDialog.getOpenFileName( caption='Dueling subs to process', directory=util.dbPath )
if not inFile: return
outFile = QFileDialog.getSaveFileName( caption='Save adaptive subs to', directory=util.dbPath )
if not outFile: return
adaptiveSubs.run( inFile, outFile, ws, bs, mFmt, kFmt, uFmt )
infoMsg( 'Completed successfully' )
def getMatches( st, allM, allF ):
pairs = []
for m in allM: # for ea morpheme we want to learn
if m not in st['mfmap']: continue
for f in st['mfmap'][m]: # for ea fact we can learn said morpheme from
pairs.append( (m,f) ) # add morpheme,fact pair to graph
A, B = [], []
for (a,b) in pairs:
if a not in A: A.append( a )
if b not in B: B.append( b )
g = ML.Graph()
g.mkMatch( pairs )
infoMsg( '%d possible pairings for %d/%d morphemes to %d/%d facts, %s. Calculating now...' % ( len(pairs), len(A), len(allM), len(B), len(allF), g.complexity() ), p=st['ed'] )
return g.doMatch()
def stopAuto( self ):
try:
util.updater.term()
infoMsg( 'Auto stopping' )
except AttributeError: # no updater instance yet
infoMsg( 'Auto never started' )
except ValueError: # bad tid
infoMsg( 'Auto already stopped' )
except ThreadError: # not active
infoMsg( 'Auto already stopped' )
except SystemError: # async exc failed
errorMsg( 'Unable to stop auto' )
def getMatches(st, allM, allF):
pairs = []
for m in allM: # for ea morpheme we want to learn
if m not in st['mfmap']: continue
for f in st['mfmap'][m]: # for ea fact we can learn said morpheme from
pairs.append((m, f)) # add morpheme,fact pair to graph
A, B = [], []
for (a, b) in pairs:
if a not in A: A.append(a)
if b not in B: B.append(b)
g = ML.Graph()
g.mkMatch(pairs)
infoMsg(
'%d possible pairings for %d/%d morphemes to %d/%d facts, %s. Calculating now...'
% (len(pairs), len(A), len(allM), len(B), len(allF), g.complexity()),
p=st['ed'])
return g.doMatch()
def onSaveResults( self ):
destPath = QFileDialog.getSaveFileName( caption='Save results to?', directory=dbsPath + os.sep + 'results.db' )
if not destPath: return
if not hasattr( self, 'db' ): return errorMsg( 'No results to save' )
self.db.save( str(destPath) )
infoMsg( 'Saved successfully' )
def post( st ):
ms = getMorphemes( st['txt'], None, cfg1('morph_blacklist') )
s = ms2str( ms )
infoMsg( '----- All -----\n' + s )
def post(st): # :: State -> State
infoMsg('Tagged all notes containing morphemes in that db')
return st
def onSaveResults( self ):
destPath = QFileDialog.getSaveFileName( caption='Save results to?', directory=util.dbPath + 'results.db' )
if not destPath: return
self.db.save( str(destPath) )
infoMsg( 'Success', 'Save db' )
def post( st ):
if len(st['morphemes']) == 0:
infoMsg('----- No morphemes, check your filters -----')
return
s = ms2str( st['morphemes'] )
infoMsg( '----- All -----\n' + s )
def post( st ): # :: State -> State
infoMsg( 'Tagged all notes containing morphemes in that db' )
return st
def post(st):
ms = getMorphemes(st['morphemizer'], st['txt'])
s = ms2str(ms)
infoMsg('----- All -----\n' + s)
def post( st ):
st['morphDb'].save( st['dbpath'] )
infoMsg( 'DB saved with extracted morphemes' )