convert_derivatives.py
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# -*- coding: utf-8 -*-
from django.core.management.base import BaseCommand
import itertools
from common.util import no_history
from dictionary.models import PartOfSpeech, Gender
from patterns.models import Pattern
class Command(BaseCommand):
help = "Convert derivatives so they don't use verb patterns"
def handle(self, *args, **options):
convert_derivatives()
def convert_derivatives():
no_history()
pact = PartOfSpeech.objects.get(symbol='pact')
ppas = PartOfSpeech.objects.get(symbol='ppas')
appas = PartOfSpeech.objects.get(symbol='appas')
ger = PartOfSpeech.objects.get(symbol='ger')
n2 = Gender.objects.get(symbol='n2')
for pos in (pact, ppas, appas):
pos.lexical_class_id = 'adj'
pos.save()
ger.lexical_class_id = 'subst'
ger.save()
p07 = Pattern.objects.get(name='P07')
p28 = Pattern.objects.get(name='P28')
p12 = Pattern.objects.get(name='P12')
p19 = Pattern.objects.get(name='P19')
p20 = Pattern.objects.get(name='P20')
p0196 = Pattern.objects.get(name='0196')
p0195 = Pattern.objects.get(name='0195')
for l in pact.lexeme_set.all():
for lip in l.lexemeinflectionpattern_set.all():
lip.pattern = p07
lip.root = l.get_root(lip.pattern)
lip.save()
for l in itertools.chain(ppas.lexeme_set.all(), appas.lexeme_set.all()):
for lip in l.lexemeinflectionpattern_set.all():
ends10 = lip.pattern.endings.filter(base_form_label__symbol='10')
for end in ends10:
if l.entry.endswith(end.string + 'y'):
end10 = end
break
else:
assert False
end12 = lip.pattern.endings.get(base_form_label__symbol='12')
# -ty/-ci
if end10.string.endswith('t'):
lip.pattern = p28
# -iony/-eni
elif end10.string.endswith('ion') and not end12.string.endswith('ieni'):
lip.pattern = p20
# -ony/-eni
elif end12.string.endswith('eni'):
lip.pattern = p19
# -ny/-ni
else:
lip.pattern = p12
lip.root = l.get_root(lip.pattern)
lip.save()
for l in ger.lexeme_set.filter(entry__endswith='nie'):
for lip in l.lexemeinflectionpattern_set.all():
lip.pattern = p0196
lip.gender = n2
lip.root = l.get_root(lip.pattern, n2)
lip.save()
for l in ger.lexeme_set.filter(entry__endswith='cie'):
for lip in l.lexemeinflectionpattern_set.all():
lip.pattern = p0195
lip.gender = n2
lip.root = l.get_root(lip.pattern, n2)
lip.save()