lexeme_export.py
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# -*- coding: utf-8 -*-
import time
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, CachedExport, Variant, Classification
locale.setlocale(locale.LC_ALL, 'pl_PL.utf8')
UNDERSCORES = True
BATCH_SIZE = 10000
QUALIFIER_SEPARATOR = '|'
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,
print_debug=False, cache=False):
self.debug = print_debug
self.cache = cache
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, '%s')
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)))
''' % QUALIFIER_SEPARATOR
# 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, all_pos=False):
lexemes = Lexeme.objects.filter(
vocabularies__id__in=self.data['vocabs'])
for antivocab in self.data['antivocabs']:
lexemes = lexemes.extra(
where='''%s NOT IN (SELECT slownik FROM leksemy_w_slownikach
WHERE l_id = leksemy.id)''',
params=[antivocab])
lexemes = lexemes.exclude(status=Lexeme.STATUS_CANDIDATE)
if pos_set is None and not all_pos:
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)
if not all_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 homonym_entry(self, entry, pos, hn):
if 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)
return entry
def export_row(self, row, acc):
i = 13
lexeme_id, main_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]
cv = self.cv_table[cv_id] if cv_id else ''
i += 1
else:
cv = ''
if self.data['form_qualifiers']:
quals = row[i] or ''
if UNDERSCORES and quals:
quals = quals.replace(' ', '_')
else:
quals = ''
if not self.cache and self.data['homonym_numbers']:
entry = self.homonym_entry(entry, pos, 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:
if self.cache:
acc.append(
CachedExport(
variant_id=self.data['variant'],
lexeme_id=lexeme_id,
form=form, entry=entry, tag=tag,
commonness=cv, qualifiers=quals,
main_lexeme_id=main_lexeme_id))
else:
output_row = (entry, main_lexeme_id, form, tag)
if self.data['commonness']:
output_row += (cv,)
if self.data['form_qualifiers']:
output_row += (quals,)
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, 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 l.id, 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, skr, acc):
entry = skr.entry
rozw = skr.attribute_value(self.SKR_ATTR).value.replace(' ', '_')
quals = ''
if self.data['form_qualifiers']:
quals = '|'.join(skr.qualifiers.values_list('label', flat=True))
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'
if self.cache:
acc.append(CachedExport(
variant_id=self.data['variant'],
lexeme_id=skr.id,
form=skr_form, entry=rozw, tag=tag,
commonness='', qualifiers=quals,
main_lexeme_id=skr.id))
else:
output_row = (rozw, skr.id, skr_form, tag)
if self.data['commonness']:
output_row += ('',)
if self.data['form_qualifiers']:
output_row += (quals,)
acc.append(output_row)
def homonyms_init(self):
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'))
def export(self):
start = start0 = 0
if self.debug:
start0 = time.time()
uniprint(u'preparing aux data', file=sys.stderr)
if self.data['homonym_numbers']:
self.homonyms_init()
cursor = connection.cursor()
tts = TableTemplate.objects.filter(
variant_id=self.data['variant']).prefetch_related(
'attributes__values', 'cell_attributes__values',
'parts_of_speech')
if self.debug:
print >>sys.stderr, time.time() - start0
export_data = []
for tt in tts:
if self.debug:
uniprint(u'exporting table: %s' % tt.name, file=sys.stderr)
start = time.time()
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)
if self.debug:
print >>sys.stderr, time.time() - start
start = time.time()
cursor.close()
if self.debug:
print >>sys.stderr, time.time() - start
uniprint(u'exporting abbreviations', file=sys.stderr)
start = time.time()
for skr in self.queryset(pos_set=self.SKR_POS):
self.export_skr(skr, export_data)
if not self.cache:
if self.debug:
print >>sys.stderr, time.time() - start
uniprint(u'sorting', file=sys.stderr)
start = time.time()
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]))
if self.debug:
print >>sys.stderr, time.time() - start
uniprint(u'outputting', file=sys.stderr)
start = time.time()
# 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)
if self.cache:
CachedExport.objects.bulk_create(export_data, batch_size=BATCH_SIZE)
else:
for r in export_data:
uniprint(
u'\t'.join((r[2], r[0]) + r[3:]), file=self.output_file)
if self.debug:
print >>sys.stderr, time.time() - start
print >>sys.stderr, 'Total:', time.time() - start0
def export_from_cache(self):
if self.data['homonym_numbers']:
self.homonyms_init()
lexeme_ids = tuple(
self.queryset(all_pos=True).values_list('id', flat=True))
cached_exports = CachedExport.objects.filter(
variant_id=self.data['variant'], lexeme_id__in=lexeme_ids)\
.order_by('entry', 'main_lexeme', 'form')
cached_exports = cached_exports.extra(
select={
'hn': '(select number from dictionary_homonymnumber h '
'where h.lexeme_id = dictionary_cachedexport.lexeme_id '
'and h.variant_id = %s)',
},
select_params=[self.data['variant']])
# tables=['dictionary_homonymnumber'],
# where=['dictionary_homonymnumber.lexeme_id '
# '= dictionary_cachedexport.lexeme_id'])
cached_exports.select_related('main_lexeme')
for row in cached_exports:
l = row.main_lexeme
entry = row.entry
if self.data['homonym_numbers']:
entry = self.homonym_entry(entry, l.part_of_speech_id, row.hn)
output_row = (row.form, entry, row.tag)
if self.data['commonness']:
output_row += (row.commonness,)
if self.data['form_qualifiers']:
output_row += (row.qualifiers,)
uniprint(u'\t'.join(output_row), file=self.output_file)
def cache_lexeme(self, lexeme):
assert self.cache
variant = self.data['variant']
if lexeme.part_of_speech_id in self.SKR_POS:
acc = []
self.export_skr(lexeme, acc)
for cached_export in acc:
cached_export.save()
return
commonness = Classification.objects.get(name=u'pospolitość')
aspect = LexemeAttribute.objects.get(name=u'aspekt')
person = LexemeAttribute.objects.get(name=u'osoba')
case = LexemeAttribute.objects.get(name=u'przypadek')
number = LexemeAttribute.objects.get(
name=u'liczba selektywna')
value_ids = []
for attr in (aspect, person, case, number):
value = lexeme.attribute_value(attr)
value_ids.append(value.id if value else None)
aspect_id, person_id, case_id, number_id = value_ids
commonness_values = lexeme.classification_values(commonness)\
.values_list('id', flat=True) or [None]
hn = lexeme.get_variant_homonym(variant)
acc = []
lexeme_quals = set(lexeme.qualifiers.values_list('label', flat=True))
for lip in lexeme.lexemeinflectionpattern_set.all():
lip_quals = set(lip.qualifiers.values_list('label', flat=True))
for cell in lip.cells(variant):
if lexeme.part_of_speech_id in self.TRANSLATE_NESTED:
main_lexeme_ids = lexeme.refs_to.filter(
type_id__in=self.crtype_ids).values_list(
'to_lexeme', flat=True)
else:
main_lexeme_ids = [lexeme.id]
for main_lexeme_id in main_lexeme_ids:
main_lexeme = Lexeme.objects.get(id=main_lexeme_id)
endings = lip.pattern.endings.filter(
base_form_label=cell.base_form_label)
for ending in endings:
ending_quals = set(
ending.qualifiers.values_list('label', flat=True))
quals = QUALIFIER_SEPARATOR.join(
lexeme_quals | lip_quals | ending_quals)
form = '%s%s%s%s' % (
cell.prefix, lip.root, ending.string, cell.suffix)
for cv in commonness_values:
row = (
lexeme.id,
main_lexeme_id,
main_lexeme.entry,
form,
lexeme.part_of_speech_id,
cell.tag_template,
None, # refl
lip.gender_id,
aspect_id,
person_id,
case_id,
number_id,
hn,
)
if self.data['commonness']:
row += (cv,)
if self.data['form_qualifiers']:
row += (quals,)
self.export_row(row, acc)
CachedExport.objects.bulk_create(acc)
def refresh_export(lexeme):
CachedExport.objects.filter(lexeme=lexeme).delete()
for variant in Variant.objects.filter(type=Variant.TYPE_EXPORT):
export_manager = LexemeExport(data={
'vocabs': [lexeme.owner_vocabulary_id],
'antivocabs': [],
'variant': variant.id,
'excluding_qualifiers': [],
'magic_qualifiers': [],
'refl': False,
'commonness': True,
'homonym_numbers': True,
'form_qualifiers': True,
}, cache=True)
export_manager.cache_lexeme(lexeme)