lexeme_export.py
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# -*- coding: utf-8 -*-
import locale
import sys
from django.db import connection
from django.db.models import Count
import operator
from common.util import debug, flatten, uniprint
from export.lexeme_form_query import attr_clauses_combinations, \
EXPORT_FROM_CLAUSES, WHERE_CLAUSES
from dictionary.models import CrossReferenceType, ClassificationValue, \
LexemeAttributeValue, Gender, TableTemplate, HomonymNumber, Lexeme, \
LexemeAttribute, SavedExportData
locale.setlocale(locale.LC_ALL, 'pl_PL.utf8')
UNDERSCORES = True
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')
SKR_POS = ('skrl', 'skrw', 'skrf')
SKR_ATTR = LexemeAttribute.objects.get(name=u'rozwinięcie')
TRANSLATE_NESTED = {
'adjcom': 'adj',
'advcom': 'adv',
'ger': 'v',
'pact': 'v',
'ppas': 'v',
'appas': 'v',
}
def __init__(self, export_data_name=None, data=None, output_file=None):
self.homonym_entries = None
self.homonyms_with_numbers = None
if export_data_name:
export_data = SavedExportData.objects.get(name=export_data_name)
self.data = export_data.get_data()
else:
if data is None:
data = {}
self.data = {
'vocabs': ['SGJP'],
'antivocabs': ['antyMorfeusz'],
'variant': 'Morfeusz',
'excluding_qualifiers': [],
'magic_qualifiers': [],
'refl': False,
'commonness': True,
'homonym_numbers': True,
'form_qualifiers': True,
# 'copyright': u'',
}
self.data.update(data)
self.output_file = output_file or sys.stdout
# self.copyright_file = open('copyright.txt', 'w')
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.numbers = dict(
(id, v.replace('/', '.'))
for id, v in LexemeAttributeValue.objects.filter(
attribute__name=u'liczba selektywna').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, number.attribute_value_id, hn.number
'''
self.qualifier_select = ''',
(select string_agg(kwal, '|')
from kwalifikatory
where id in ((
select qualifier_id from kwalifikatory_leksemow
where lexeme_id = l.id)
union (
select qualifier_id from kwalifikatory_odmieniasiow
where lexemeinflectionpattern_id = o.id)
union (
select qualifier_id from kwalifikatory_zakonczen
where ending_id = z.id)))
'''
# TODO
# sprytniej by było uwzględniać tylko atrybuty, które mogą się
# pojawić dla danej części mowy
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)
left join dictionary_lexemeav number
on (l.id = number.lexeme_id and %(number)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),
'number': 'number.attribute_value_id in (%s)'
% ', '.join(str(id) for id in self.numbers)
}
self.table_clause = WHERE_CLAUSES
self.params_part = (
[self.data['variant']] + list(self.data['vocabs']) +
list(self.data['antivocabs']))
if UNDERSCORES:
self.cv_table = dict(
(id, label.replace(' ', '_')) for id, label
in ClassificationValue.objects.values_list('id', 'label'))
else:
self.cv_table = dict(
ClassificationValue.objects.values_list('id', 'label'))
def queryset(self, pos_set=None):
lexemes = Lexeme.objects.filter(
vocabularies__id__in=self.data['vocabs'])
lexemes = lexemes.exclude(vocabularies__id__in=self.data['antivocabs'])
lexemes = lexemes.exclude(status=Lexeme.STATUS_CANDIDATE)
if pos_set is None:
pos_set = set(
TableTemplate.objects.filter(
variant_id=self.data['variant']).values_list(
'parts_of_speech', flat=True).distinct())
pos_set -= set(self.NESTED_POS)
lexemes = lexemes.filter(part_of_speech_id__in=pos_set)
lexemes = lexemes.exclude(
qualifiers__in=self.data['excluding_qualifiers'])
return lexemes
@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):
i = 12
lexeme_id, entry, form, pos, tag, refl_id, gender_id, aspect_id,\
person_id, case_id, number_id, hn = row[:i]
if self.data['commonness']:
cv_id = row[i]
i += 1
quals = None
if self.data['form_qualifiers']:
quals = row[i]
if UNDERSCORES and quals:
quals = quals.replace(' ', '_')
if self.data['homonym_numbers'] and entry in self.homonym_entries:
if (entry, pos) in self.homonyms_with_numbers:
assert hn
else:
hn = ''
letter = HomonymNumber.MORFEUSZ_LETTERS_REVERSE.get(
self.TRANSLATE_NESTED.get(pos, pos))
assert letter
entry += ':%s%s' % (letter, hn)
form = form.lstrip('+') # odmienne postfiksy
tags = None
if tag == 'adja':
form = form.rstrip('+')
# entry = form
elif tag == 'adjc':
if form not in self.ADJPREDYKATYWNE:
tags = ["adj:sg:nom:m1.m2.m3:pos", "adj:sg:acc:m3:pos"]
# elif tag == 'num:comp':
# entry = form
# # to samo też dla jeszcze nieistniejących ppas:comp, pact:comp
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])
if 'LICZBA' in tag:
tag = tag.replace('LICZBA', self.numbers[number_id])
if 'PL' in tag:
tag = tag.replace(
'PL', '.p1.p2' if 'pl' in self.numbers[number_id] else '')
tags = tags or [tag]
for tag in tags:
output_row = (entry, lexeme_id, form, tag)
if self.data['commonness']:
cv = self.cv_table[cv_id] if cv_id else ''
output_row += (cv,)
if self.data['form_qualifiers']:
output_row += (quals or '',)
acc.append(output_row)
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 %(qual_field)s
%(table_joins)s
%(clas_join)s
left join dictionary_lexemeav refl
on (l.id = refl.lexeme_id and %(refl)s)
left join dictionary_homonymnumber hn
on (l.id = hn.lexeme_id and hn.variant_id = %%s)
where ls.slownik in (%(vocabs)s) and %(antivocabs)s %(x_qual)s %(table_clause)s
and l.status<>'cand' and not l.usuniety %(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 %(qual_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)
left join dictionary_homonymnumber hn
on (g.id = hn.lexeme_id and hn.variant_id = %%s)
where ls.slownik in (%(vocabs)s) and %(antivocabs)s %(x_qual)s %(table_clause)s
and typods_id in (%(crtype_ids)s) and
l.status<>'cand' and not l.usuniety 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 '',
'qual_field':
self.qualifier_select if self.data['form_qualifiers'] 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 == 'czasowniki':
# 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_skr(self, acc):
for skr in self.queryset(pos_set=self.SKR_POS):
entry = skr.entry
rozw = skr.attribute_value(self.SKR_ATTR).value.replace(' ', '_')
if all(char not in rozw for char in ',./12'):
pun = entry.endswith('.')
skr_form = entry.rstrip('.')
tag = 'brev:pun' if pun else 'brev:npun'
output_row = (rozw, skr.id, skr_form, tag)
if self.data['commonness']:
output_row += ('',)
if self.data['form_qualifiers']:
quals = '|'.join(skr.qualifiers.values_list(
'label', flat=True))
output_row += (quals,)
acc.append(output_row)
def export(self):
if self.data['homonym_numbers']:
self.homonym_entries = set(
self.queryset().values('entry').annotate(count=Count('pk'))
.filter(count__gt=1).values_list('entry', flat=True))
self.homonyms_with_numbers = set(
self.queryset().values('entry', 'part_of_speech')
.annotate(count=Count('pk')).filter(count__gt=1)
.values_list('entry', 'part_of_speech'))
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)
# start = time.clock()
attr_clauses, cell_attr_combinations, tt_attr_combinations = \
attr_clauses_combinations(tt)
cell_attr_combinations = list(cell_attr_combinations)
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:
self.export_part(
cursor, tt, nested, attr_clauses, cell_c, tt_c,
export_data)
# print >>sys.stderr, time.clock() - start
# start = time.clock()
cursor.close()
# uniprint(u'exporting abbreviations', file=sys.stderr)
# start = time.clock()
self.export_skr(export_data)
# print >>sys.stderr, time.clock() - start
# 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()
# today = date.today()
# copyright_header = self.data.get('copyright', '') % {
# 'year': today.year,
# 'month': today.month,
# 'day': today.day,
# }
# if copyright_header:
# uniprint(copyright_header, file=self.copyright_file)
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