convertinput.py
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'''
Created on Oct 23, 2013
@author: mlenart
'''
import logging
from common import Interpretation4Analyzer
from morfeuszbuilder.fsa.common import Interpretation4Generator
#from morfeuszbuilder.fsa import externalsort
def _mergeEntries(inputLines, lowercase):
prevKey = None
prevInterps = None
for key, interp in inputLines:
key = key.lower() if lowercase else key
# print 'key=', key, 'interp=', interp
if not key:
print 'key=', key, 'interp=', interp
assert key
if prevKey and prevKey == key:
prevInterps.append(interp)
else:
if prevKey:
yield (prevKey, frozenset(prevInterps))
prevKey = key
prevInterps = [interp]
if prevInterps:
yield (prevKey, frozenset(prevInterps))
def parseLine(line):
splitLine = line.strip().split(u'\t')
if len(splitLine) == 5:
orth, base, tag, name, qualifier = splitLine
elif len(splitLine) == 4:
orth, base, tag, name = splitLine
qualifier = ''
elif len(splitLine) == 3:
orth, base, tag = splitLine
name = ''
qualifier = ''
else:
raise ValueError('input line "%s" does not have 3, 4 or 5 tab-separated fields' % line)
return orth, base, tag, name, qualifier
class PolimorfConverter4Analyzer(object):
def __init__(self, tagset, namesMap, qualifiersMap, encoder, inputEncoding, segmentRulesManager):
self.tagset = tagset
self.namesMap = namesMap
self.qualifiersMap = qualifiersMap
self.encoder = encoder
self.inputEncoding = inputEncoding
self.segmentRulesManager = segmentRulesManager
# we do it the ugly way (parse to plain text) because it is way more memory-efficient
def _partiallyParseLines(self, inputLines):
for line in inputLines:
line = line.decode(self.inputEncoding).strip('\n')
if line:
orth, base, tag, name, qualifier = parseLine(line)
tagnum = self.tagset.getTagnum4Tag(tag)
namenum = self.namesMap[name]
typenum = self.segmentRulesManager.lexeme2SegmentTypeNum(base, tagnum)
qualifiers = qualifier.split('|') if qualifier else frozenset([u''])
qualsnum = self.qualifiersMap[frozenset(qualifiers)]
yield '\t'.join((
orth.encode(self.inputEncoding),
base.encode(self.inputEncoding),
str(tagnum),
str(namenum),
str(typenum),
str(qualsnum)))
#~ qualifier.encode(self.inputEncoding)))
# input lines are encoded and partially parsed
def _sortLines(self, inputLines):
return sorted(inputLines, key=lambda line: self.encoder.word2SortKey(line.split('\t')[0].decode('utf8')))
# return sorted(inputLines, key=lambda line: self.encoder.word2SortKey(line.split('\t')[0].decode('utf8')))
def _reallyParseLines(self, inputLines):
for line in inputLines:
line = line.decode(self.inputEncoding).strip(u'\n')
if line:
orth, base, tagnum, namenum, typenum, qualsnum = line.split(u'\t')
tagnum = int(tagnum)
namenum = int(namenum)
typenum = int(typenum)
#~ qualifiers = qualifierStr.split('|') if qualifierStr else []
qualsnum = int(qualsnum)
yield (orth, Interpretation4Analyzer(orth, base, tagnum, namenum, typenum, qualsnum))
def convert(self, inputLines):
return _mergeEntries(self._reallyParseLines(self._sortLines(self._partiallyParseLines(inputLines))), lowercase=True)
class PolimorfConverter4Generator(object):
def __init__(self, tagset, namesMap, qualifiersMap, encoder, inputEncoding, segmentRulesManager):
self.tagset = tagset
self.namesMap = namesMap
self.qualifiersMap = qualifiersMap
self.encoder = encoder
self.inputEncoding = inputEncoding
self.segmentRulesManager = segmentRulesManager
# we do it the ugly way (parse to plain text) because it is way more memory-efficient
def _partiallyParseLines(self, inputLines):
for line in inputLines:
line = line.decode(self.inputEncoding).strip('\n')
if line:
orth, base, tag, name, qualifier = parseLine(line)
if base:
homonymId = u''
if u':' in base:
assumedBase, assumedHomonymId = base.split(u':', 1)
if assumedBase != u'' and assumedHomonymId != u'' and assumedHomonymId.isalnum():
base, homonymId = assumedBase, assumedHomonymId
tagnum = self.tagset.getTagnum4Tag(tag)
namenum = self.namesMap[name]
qualifiers = qualifier.split('|') if qualifier else frozenset([u''])
qualsnum = self.qualifiersMap[frozenset(qualifiers)]
typenum = self.segmentRulesManager.lexeme2SegmentTypeNum(base, tagnum)
#~ print '\t'.join((
#~ orth.encode(self.inputEncoding),
#~ base.encode(self.inputEncoding),
#~ str(tagnum),
#~ str(namenum),
#~ str(typenum),
#~ homonymId.encode(self.inputEncoding),
#~ qualifier.encode(self.inputEncoding)))
yield '\t'.join((
orth.encode(self.inputEncoding),
base.encode(self.inputEncoding),
str(tagnum),
str(namenum),
str(typenum),
homonymId.encode(self.inputEncoding),
str(qualsnum)))
else:
logging.warn('Ignoring line: "%s" - contains empty lemma', line.strip())
# input lines are encoded and partially parsed
def _sortLines(self, inputLines):
return sorted(inputLines, key=lambda line: (self.encoder.word2SortKey(line.split('\t')[1].decode('utf8')), line))
def _reallyParseLines(self, inputLines):
prevLine = None
for line in inputLines:
line = line.decode(self.inputEncoding).strip(u'\n')
if line and line != prevLine:
orth, base, tagnum, namenum, typenum, homonymId, qualsnum = line.split(u'\t')
# print orth.encode('utf8'), base.encode('utf8'), homonymId
tagnum = int(tagnum)
namenum = int(namenum)
typenum = int(typenum)
del prevLine
prevLine = line
qualsnum = int(qualsnum)
#~ qualifiers = qualifierStr.split('|') if qualifierStr else ()
yield (base, Interpretation4Generator(orth, base, tagnum, namenum, typenum, homonymId, qualsnum))
def convert(self, inputLines):
return _mergeEntries(self._reallyParseLines(self._sortLines(self._partiallyParseLines(inputLines))), lowercase=False)