export.py
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#-*- coding:utf-8 -*-
import locale
import sys
import time
from django.db import connection
from common.util import debug, flatten, uniprint
from dictionary.lexeme_form_query import attr_clauses_combinations, \
EXPORT_FROM_CLAUSES, WHERE_CLAUSES
from dictionary.models import CrossReferenceType, ClassificationValue, \
LexemeAttributeValue, Gender, TableTemplate
locale.setlocale(locale.LC_ALL, 'pl_PL.utf8')
class LexemeExport(object):
ADJPREDYKATYWNE = [
u'ciekaw',
u'godzien',
u'gotów',
u'łaskaw',
u'świadom',
u'winien',
u'zdrów',
# wątpliwe:
u'dłużen',
u'miłościw',
u'praw',
u'wesół',
u'żyw',
]
REFL_TRANSLATION = {
u'—': 'nonrefl',
u'się': 'refl',
u'sobie': 'refl',
u'się/sobie': 'refl',
u'(się)': 'refl.nonrefl',
u'(sobie)': 'refl.nonrefl',
}
ASPECT_TRANSLATION = {
u'dk': 'perf',
u'ndk': 'imperf',
u'dk/ndk': 'imperf.perf',
u'dk/(ndk)': 'imperf.perf',
u'ndk/dk': 'imperf.perf',
u'ndk/(dk)': 'imperf.perf',
}
NESTED_POS = ('adjcom','advcom','ger','pact','ppas','appas')
def __init__(self, data=None, output_file=None):
self.data = data or {
'vocabs': ['SGJP'],
'antivocabs': [],
'variant': 'Morfeusz',
'excluding_qualifiers': [],
'magic_qualifiers': [],
'refl': False,
'commonness': False,
}
self.output_file = output_file or sys.stdout
self.vocabs_placeholders = ', '.join('%s' for v in self.data['vocabs'])
if self.data['antivocabs']:
antivocabs_placeholders = ', '.join(
'%s' for v in self.data['antivocabs'])
self.antivocabs_clause = '''not exists (
select * from leksemy_w_slownikach ls2 where ls2.l_id = l.id
and ls2.slownik in (%s)) and''' % antivocabs_placeholders
else:
self.antivocabs_clause = ''
self.qualifier_clauses = ''.join(
self.qualifier_clause(q_id)
for q_id in self.data['excluding_qualifiers'])
self.magic_qualifier_clauses = ''.join(
self.magic_qualifier_clause()
for pattern, q_id in self.data['magic_qualifiers'])
crtypes = ['comadv', 'comadj', 'gerver', 'pactver', 'ppasver']
self.crtype_ids = CrossReferenceType.objects.filter(
symbol__in=crtypes).values_list('id', flat=True)
self.cv_ids = ClassificationValue.objects.filter(
classification__name=u'pospolitość').values_list('id', flat=True)
self.genders = dict(Gender.objects.values_list('id', 'symbol'))
self.refls = dict(LexemeAttributeValue.objects.filter(
attribute__name=u'zwrotność').values_list('id', 'value'))
self.aspects = dict(LexemeAttributeValue.objects.filter(
attribute__name=u'aspekt').values_list('id', 'value'))
self.persons = dict(LexemeAttributeValue.objects.filter(
attribute__name=u'osoba').values_list('id', 'value'))
self.cases = dict(LexemeAttributeValue.objects.filter(
attribute__name=u'przypadek').values_list('id', 'value'))
self.select = '''prefix||rdzen||zak||suffix, l.pos, tag_template,
refl.attribute_value_id, o.gender_id,
aspect.attribute_value_id, person.attribute_value_id,
"case".attribute_value_id
'''
self.table_joins = EXPORT_FROM_CLAUSES + '''
join leksemy_w_slownikach ls on (ls.l_id = l.id)
left join dictionary_lexemeav aspect
on (l.id = aspect.lexeme_id and %(aspect)s)
left join dictionary_lexemeav person
on (l.id = person.lexeme_id and %(person)s)
left join dictionary_lexemeav "case"
on (l.id = "case".lexeme_id and %(case)s)
''' % {
'aspect': 'aspect.attribute_value_id in (%s)'
% ', '.join(str(id) for id in self.aspects),
'person': 'person.attribute_value_id in (%s)'
% ', '.join(str(id) for id in self.persons),
'case': '"case".attribute_value_id in (%s)'
% ', '.join(str(id) for id in self.cases),
}
self.table_clause = WHERE_CLAUSES
self.params_part = (
list(self.data['vocabs']) + list(self.data['antivocabs']) +
[self.data['variant']])
self.cv_table = dict(
ClassificationValue.objects.values_list('id', 'label'))
@staticmethod
def qualifier_clause(q_id):
return '''not exists (
select * from kwalifikatory_leksemow where lexeme_id = l.id and
qualifier_id = %(q)d) and not exists (
select * from kwalifikatory_odmieniasiow where qualifier_id = %(q)d and
lexemeinflectionpattern_id = o.id) and not exists (
select * from kwalifikatory_zakonczen where qualifier_id = %(q)d and
ending_id = z.id) and ''' % {'q': q_id}
@staticmethod
def magic_qualifier_clause():
return '''and not (tag like %s and exists (
select kw.id
from kwalifikatory kw
join kwalifikatory_leksemow kwl on kw.id = kwl.qualifier_id
where kwl.lexeme_id = l.id and kw.id = %s)) '''
def export_row(self, row, acc):
if self.data['commonness']:
lexeme_id, entry, form, pos, tag, refl_id, gender_id, \
aspect_id, person_id, case_id, cv_id = row
else:
lexeme_id, entry, form, pos, tag, refl_id, gender_id, \
aspect_id, person_id, case_id = row
form = form.lstrip('+') # odmienne postfiksy
tags = None
if tag == 'adja':
form = form.rstrip('+')
if tag == 'adjc':
if form not in self.ADJPREDYKATYWNE:
tags = ["adj:sg:nom:m1.m2.m3:pos", "adj:sg:acc:m3:pos"]
if self.data['refl'] and pos in ('v', 'pact', 'ger'):
if refl_id in self.refls:
tag += ':' + self.REFL_TRANSLATION[self.refls[refl_id]]
else:
debug(entry, u'Nieznana zwrotność: %s' % refl_id)
if 'RODZAJ' in tag:
tag = tag.replace('RODZAJ', self.genders[gender_id])
if 'ASPEKT' in tag:
tag = tag.replace('ASPEKT',
self.ASPECT_TRANSLATION[self.aspects[aspect_id]])
if 'OSOBA' in tag:
tag = tag.replace('OSOBA', self.persons[person_id])
if 'PRZYPADEK' in tag:
tag = tag.replace('PRZYPADEK', self.cases[case_id])
tags = tags or [tag]
for tag in tags:
if self.data['commonness']:
cv = self.cv_table[cv_id] if cv_id else ''
acc.append((entry, lexeme_id, form, tag, cv))
else:
acc.append((entry, lexeme_id, form, tag))
def export_part(self, cursor, tt, nested, attr_clauses, cell_c, tt_c, acc):
if not nested:
params = self.params_part + flatten(self.data['magic_qualifiers'])
query = """
select distinct l.id, haslo, %(select)s %(clas_field)s
%(table_joins)s
%(clas_join)s
left join dictionary_lexemeav refl
on (l.id = refl.lexeme_id and %(refl)s)
where ls.slownik in (%(vocabs)s) and %(antivocabs)s %(x_qual)s %(table_clause)s
and variant_id=%%s and l.status<>'cand' and l.usuniety = false %(magic)s and
%(attr_clauses)s"""
else:
params = self.params_part
query = """
select distinct g.id, g.haslo as haslo, %(select)s %(clas_field)s
%(table_joins)s
%(clas_join)s
join odsylacze on l.id=l_id_od
join leksemy g on (l_id_do=g.id and g.usuniety = false)
left join dictionary_lexemeav refl
on (g.id = refl.lexeme_id and %(refl)s)
where ls.slownik in (%(vocabs)s) and %(antivocabs)s %(x_qual)s %(table_clause)s
and typods_id in (%(crtype_ids)s) and
variant_id=%%s and l.status<>'cand' and l.usuniety = false and
%(attr_clauses)s"""
query = query % {
'vocabs': self.vocabs_placeholders,
'antivocabs': self.antivocabs_clause,
'x_qual': self.qualifier_clauses,
'magic': self.magic_qualifier_clauses,
'crtype_ids': ', '.join(str(id) for id in self.crtype_ids),
'clas_field': ', classification_value_id'
if self.data['commonness'] else '',
'select': self.select,
'table_joins': self.table_joins,
'table_clause': self.table_clause,
'clas_join':
'''left outer join dictionary_lexemecv wkl
on (wkl.lexeme_id=l.id and
wkl.classification_value_id in (%s))'''
% ', '.join(str(id) for id in self.cv_ids)
if self.data['commonness'] else '',
'refl':
'refl.attribute_value_id in (%s)'
% ', '.join(str(id) for id in self.refls),
'attr_clauses': ' and '.join(attr_clauses)
}
#if tt.name == 'gerundia':
# print >>sys.stderr, query
# print >>sys.stderr, [tt.id] + params + list(tt_c + cell_c + cell_c)
cursor.execute(
query, [tt.id] + params + list(tt_c + cell_c + cell_c))
for row in cursor:
self.export_row(row, acc)
def export(self):
cursor = connection.cursor()
tts = TableTemplate.objects.filter(
variant_id=self.data['variant']).prefetch_related(
'attributes__values', 'cell_attributes__values',
'parts_of_speech')
export_data = []
for tt in tts:
uniprint(u'exporting table: %s' % tt.name, file=sys.stderr)
attr_clauses, cell_attr_combinations, tt_attr_combinations = \
attr_clauses_combinations(tt)
nested = tt.parts_of_speech.all()[0].symbol in self.NESTED_POS
for tt_c in tt_attr_combinations:
for cell_c in cell_attr_combinations:
start = time.clock()
self.export_part(cursor, tt, nested, attr_clauses, cell_c,
tt_c, export_data)
print >>sys.stderr, time.clock() - start
cursor.close()
# uniprint(u'sorting', file=sys.stderr)
# start = time.clock()
# export_data.sort(cmp=lambda t1, t2: locale.strcoll(t1[2], t2[2]))
# export_data.sort(key=operator.itemgetter(1))
# export_data.sort(cmp=lambda t1, t2: locale.strcoll(t1[0], t2[0]))
# print >>sys.stderr, time.clock() - start
uniprint(u'outputting', file=sys.stderr)
start = time.clock()
for r in export_data:
uniprint(
u'\t'.join((str(r[1]), r[2], r[0]) + r[3:]),
file=self.output_file)
print >>sys.stderr, time.clock() - start