auto_derivatives.py
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# -*- coding: utf-8 -*-
from django.db.models import Max
from dictionary.models import Ending, Lexeme, LexemeInflectionPattern, \
Pattern, Gender, LexemeAttributeValue, LexemeAttribute, REVERSE_CR_TYPE
VOWELS = u'aeiouyąęó'
ADJ_POS = ('ppas', 'appas', 'pact', 'adjcom', 'nieadj')
Ppact = Pattern.objects.get(name='P2') # hardcoded pattern
Pppas_ty = Pattern.objects.get(name='P4t')
Pppas_ny_ni = Pattern.objects.get(name='P4')
Pppas_ony_eni = Pattern.objects.get(name='P4no')
Pppas_iony_ieni = Pattern.objects.get(name='P4noi')
Pger_nie = Pattern.objects.get(name='C1n')
Pger_cie = Pattern.objects.get(name='C1c')
Posc = Pattern.objects.get(name='D1ć0+i')
Pcom = Pattern.objects.get(name='P4zs')
Pndm = Pattern.objects.get(name='ndm')
n2 = Gender.objects.get(symbol='n2')
f = Gender.objects.get(symbol='f')
ATTR_POPRZ = LexemeAttribute.objects.get(name=u'forma poprz.')
ATTR_ZLOZ = LexemeAttribute.objects.get(name=u'forma złoż.')
NO_POPRZ = LexemeAttributeValue.objects.get(
value=u'nieobecna', attribute__name=u'forma poprz.')
NO_ZLOZ = LexemeAttributeValue.objects.get(
value=u'nieobecna', attribute__name=u'forma złoż.')
def ppas_data(lips, pos='ppas'):
for lip in lips:
pattern = lip.pattern
endings10 = Ending.objects.filter(
pattern=pattern, base_form_label__symbol='10')
endings12 = Ending.objects.filter(
pattern=pattern, base_form_label__symbol='12')
for ending in endings10:
for ending12 in endings12:
yield {
'pos': pos,
'cr_type': 'verppas',
'entry': lip.root + ending.string + 'y',
'pl': lip.root + ending12.string,
'index': lip.index,
}
def pact_data(lips):
for lip in lips:
pattern = lip.pattern
endings3 = Ending.objects.filter(
pattern=pattern, base_form_label__symbol='3')
for ending in endings3:
yield {
'pos': 'pact',
'cr_type': 'verpact',
'entry': lip.root + ending.string + 'cy',
'index': lip.index,
}
def ger_data(lips):
for lip in lips:
pattern = lip.pattern
endings11 = Ending.objects.filter(
pattern=pattern, base_form_label__symbol='11')
for ending in endings11:
yield {
'pos': 'ger',
'cr_type': 'verger',
'entry': lip.root + ending.string + 'ie',
'index': lip.index,
}
def guess_osc(s):
if s[-1] == 'i':
if s[-2] in VOWELS:
base = s[:-1] + u'j'
elif s[-2] in u'gkl':
base = s[:-1]
else:
base = s
elif s[-1] == u'y':
base = s[:-1]
elif s[-2:] in [u'ek', u'en']:
base = s[:-2] + s[-1]
elif s[-2:] in [u'ój', u'ów']:
base = s[:-2] + u'o' + s[-1]
else:
base = s
return base + u'ość'
def make_negation(s):
if s[0].islower():
return u'nie' + s
else:
return u'nie-' + s
def lexeme_derivatives(lexeme):
lips = list(lexeme.lexemeinflectionpattern_set.all())
if not lips:
return
if lexeme.part_of_speech.symbol == 'v':
proper = lexeme.lexemeattributevalue_set.filter(
attribute__name=u'właściwy', value__in=('', '(Q)'))
if proper:
trans = lexeme.lexemeattributevalue_set.filter(
attribute__name=u'przechodniość', value='T')
q_trans = lexeme.lexemeattributevalue_set.filter(
attribute__name=u'przechodniość', value='qT')
imperf = lexeme.lexemeattributevalue_set.filter(
attribute__name=u'aspekt').exclude(value='dk')
if trans or q_trans:
pos = 'ppas' if trans else 'appas'
for data in ppas_data(lips, pos):
yield data
if imperf:
for data in pact_data(lips):
yield data
for data in ger_data(lips):
yield data
elif lexeme.part_of_speech.symbol == 'adj':
# adjcom, adv, advcom, osc, nieadj
pos_types = (
('adjcom', 'adjcom'),
('adv', 'adjadv'),
('advcom', 'adjadvc')
)
for pos, cr_type in pos_types:
yield {
'pos': pos,
'cr_type': cr_type,
'entry': None,
'index': 1,
}
yield {
'pos': 'osc',
'cr_type': 'adjosc',
'entry': guess_osc(lexeme.entry),
'index': 1,
}
yield {
'pos': 'adj',
'cr_type': 'adjnie',
'entry': make_negation(lexeme.entry),
'index': 1,
}
def create_derivative(lexeme, part_of_speech, cr_type, entry, index, pl=None):
negation = cr_type.endswith('nie')
next_id = Lexeme.all_objects.aggregate(Max('id'))['id__max'] + 1
der = Lexeme.objects.create(
id=next_id, entry=entry, part_of_speech_id=part_of_speech,
status=lexeme.status, owner_vocabulary_id=lexeme.owner_vocabulary_id,
specialist=lexeme.specialist,
borrowing_source_id=lexeme.borrowing_source_id)
der.fix_homonym_number()
der.refresh_data()
lexeme.owner_vocabulary.add_lexeme(der)
if not negation:
lip = LexemeInflectionPattern(lexeme=der, index=1)
if part_of_speech in ('ppas', 'appas'):
# -ty/-ci
if entry.endswith('ty'):
lip.pattern = Pppas_ty
# -iony/-eni
elif entry.endswith('iony') and not pl.endswith('ieni'):
lip.pattern = Pppas_iony_ieni
# -ony/-eni
elif entry.endswith('eni'):
lip.pattern = Pppas_ony_eni
# -ny/-ni
else:
lip.pattern = Pppas_ny_ni
elif part_of_speech == 'pact':
lip.pattern = Ppact
elif part_of_speech == 'ger':
lip.gender = n2
if entry.endswith('cie'):
lip.pattern = Pger_cie
else: # -nie
lip.pattern = Pger_nie
elif part_of_speech == 'osc':
lip.pattern = Posc
lip.gender = f
elif part_of_speech == 'adjcom':
lip.pattern = Pcom
elif part_of_speech in ('adv', 'advcom'):
lip.pattern = Pndm
lip.root = lip.get_root()
lip.save()
orig_lip = LexemeInflectionPattern.objects.get(
lexeme=lexeme, index=index)
# może kopiować kwalifikatory odmieniasia do leksemu?
for q in orig_lip.qualifiers.all():
lip.qualifiers.add(q) # der zamiast lip?
else:
for orig_lip in lexeme.lexemeinflectionpattern_set.all():
lip = LexemeInflectionPattern(
lexeme=der, index=orig_lip.index, pattern=orig_lip.pattern,
gender=orig_lip.gender)
lip.root = lip.get_root()
lip.save()
for q in orig_lip.qualifiers.all():
lip.qualifiers.add(q)
for attr, attr_val in lexeme.attributes_values():
if attr not in (ATTR_POPRZ, ATTR_ZLOZ) and attr_val \
and attr.parts_of_speech.filter(symbol=part_of_speech):
attr_val.add_lexeme(der)
if part_of_speech in ('ppas', 'appas', 'pact', 'adjcom', 'nieadj'):
NO_POPRZ.add_lexeme(der)
NO_ZLOZ.add_lexeme(der)
for q in lexeme.qualifiers.all():
der.qualifiers.add(q)
lexeme.add_cross_reference(der, cr_type)
der.add_cross_reference(lexeme, REVERSE_CR_TYPE[cr_type])
der.refresh_data()
new_lexemes = [der]
if cr_type in ('adjosc', 'adjadv'):
new_lexemes.extend(create_derivative(
der, part_of_speech, 'adjnie', make_negation(entry),
index))
return new_lexemes