import_morfologik.py
42.9 KB
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#-*- coding:utf-8 -*-
from django.core.management.base import BaseCommand
import sys
import json
from common.util import suffixes, cut_end, debug
from dictionary.models import Pattern, Lexeme, InflectionCharacteristic, \
Ending, LexicalClass, CrossReference, BaseFormLabel, Vocabulary
from dictionary.util import expand_tag, compare_patterns
from dictionary.pattern_blacklist import blacklist
class Command(BaseCommand):
args = '<symbol części mowy> <nazwa pliku wejściowego>'
help = 'Creates scripts for importing data from Morfologik'
def handle(self, lc_sym, input_file, **options):
parse_file(lc_sym, input_file)
DEBUG = False
#sgjp = Vocabulary.objects.get(id='SGJP').owned_lexemes_pk()
morf = Vocabulary.objects.get(id='Morfologik').owned_lexemes_pk()
sgjp = Lexeme.objects.filter(deleted=False, source='SGJP')
# może być nierozpoznane pltant
ending_genders = {
'm1': ['m1', 'p1'],
'm': ['m2', 'm3', 'p2', 'p3'],
'f': ['f', 'p2', 'p3'],
'n': ['n1', 'n2', 'p2', 'p3'],
'p1': ['p1'],
'p3': ['p2', 'p3'],
'i': [], # wszystkie
}
genders = {
'm1': ['m1'],
'm': ['m2', 'm3'], #, 'p1', 'p2', 'p3'],
'f': ['f'], #, 'p2', 'p3'],
'n': ['n1', 'n2'], #, 'p2', 'p3'],
'p1': ['p1'],
'p3': ['p2', 'p3'],
'i': [], # wszystkie
}
# piękne nazwy...
genders2 = {
'm1': ['m1', 'p1'],
'm': ['m2', 'm3', 'p2', 'p3'],
'f': ['f', 'p2', 'p3'],
'n': ['n1', 'n2', 'p2', 'p3'],
'p1': ['p1', 'm1'],
'p3': ['p2', 'p3', 'f', 'm2', 'm3', 'n1', 'n2'],
'i': [], # wszystkie
}
def get_basic_endings(lexical_class, parts_of_speech, gender=None):
if lexical_class.symbol == 'v':
return Ending.objects.filter(base_form_label__entry='5',
pattern__type__lexical_class=lexical_class)
ics = InflectionCharacteristic.objects.filter(
part_of_speech__in=parts_of_speech)
if gender and ending_genders[gender]:
ics = ics.filter(entry__in=ending_genders[gender])
basic_form_labels = ics.values_list('basic_form_label', flat=True).distinct()
return Ending.objects.filter(base_form_label__pk__in=basic_form_labels,
pattern__type__lexical_class=lexical_class)
basic_form_endings_dict = {}
for lexical_class in LexicalClass.objects.all():
parts_of_speech = lexical_class.partofspeech_set.all()
if lexical_class.symbol == 'subst':
for gender in ending_genders:
basic_form_endings_dict[(lexical_class, gender)] = get_basic_endings(
lexical_class, parts_of_speech, gender)
else:
basic_form_endings_dict[lexical_class] = get_basic_endings(
lexical_class, parts_of_speech)
def join(patterns):
return ', '.join(sorted(p[0].name for p in patterns))
def join_many(patterns):
return ', '.join('[%s]' % join(set) for set in patterns)
def prepare_endings(forms):
root = forms[0][0]
for form in forms[1:]:
new_root = ''
for char1, char2 in zip(root, form[0]):
if char1 == char2:
new_root += char1
else:
break
root = new_root
endings = set()
for form in forms:
endings.add((form[0][len(root):], form[1]))
return endings, root
def get_form_set(forms):
form_set = set(form[0] for form in forms)
return form_set - set('nie' + form for form in form_set)
def expand_forms(forms):
expanded = []
for form in forms:
tags = expand_tag(form[1])
expanded += [(form[0], tag) for tag in tags]
return expanded
def get_tantum(forms):
sg = set()
pl = set()
for form in forms:
if form[1][1].startswith('pl'):
pl.add(form[0])
elif form[1][1].startswith('sg'): # ignorujemy irreg
sg.add(form[0])
if sg == pl:
return
# za dużo fałszywych pozytywów
#elif pl.issubset(sg):
# return 'sg'
elif sg.issubset(pl): # or len(sg) == 1: -- czasem psuje
return 'pl'
else:
return
def tantum_a_posteriori(form_set, patterns):
tantum = None
for pattern, root in patterns:
tantum_forms = {
'sg': set(root + e for e in
pattern.endings.filter(base_form_label__entry__startswith='sg')
.values_list('string', flat=True)),
'pl': set(root + e for e in
pattern.endings.filter(base_form_label__entry__startswith='pl')
.values_list('string', flat=True)),
}
for num in ('sg', 'pl'):
if form_set.issubset(tantum_forms[num]):
tantum = num
if tantum:
return tantum
if not patterns:
return 'sg'
return None
v_base_forms = [
('1', 'verb:fin:sg:ter:', u''),
('2', 'verb:fin:sg:pri:', u''),
('3', 'verb:fin:pl:ter:', u''),
('4', 'verb:impt:sg:sec:', u''),
('5', 'verb:inf:', u''),
('6', 'verb:praet:sg:ter:m:', u''),
("6'", 'pant:perf', u'szy'),
('7', 'verb:praet:sg:pri:m:', u'em'),
('8', 'verb:praet:sg:pri:f:', u'am'),
('9', 'verb:praet:pl:ter:m1:', u'i'),
('10', 'verb:imps', u'o'),
('11', 'subst:ger:sg:nom:n', u'ie'), # [bez przeczenia]
('11pg', 'subst:ger:pl:gen:n', u''),
('12', 'ppas:pl:nom:m1', u''),
]
def get_extra(lexical_class, forms, **extra):
if lexical_class.symbol == 'subst':
if 'tantum' in extra:
tantum = extra['tantum']
else:
tantum = get_tantum(forms)
tag = forms[0][1]
gender = tag[-1][0]
# powinienem częściej tak pisać zamiast for...else jeśli się da
if all(form[1][-1] in ('m1', 'depr') for form in forms):
gender = 'm1'
if tantum == 'pl' or tag[1] == 'pltant':
gender = 'p'
tantum = 'pl'
return {'gender': gender, 'tantum': tantum}
elif lexical_class.symbol == 'adj':
all_forms = [form[0] for form in forms]
negated = [(form, tag) for (form, tag) in forms
if form == 'nie' + all_forms[0]]
negated += [(form, tag) for (form, tag) in forms
if form.startswith('nie') and form[4:] in all_forms
and form != 'nie' + all_forms[0]]
return {'negated': negated}
elif lexical_class.symbol == 'v':
all_forms = [form[0] for form in forms]
base_forms = []
for label, tag_prefix, end in v_base_forms:
for form, tag in forms:
negated_form = (form.startswith(u'nie') and
form[len('nie'):] in all_forms)
if (':'.join(tag).startswith(tag_prefix) and
not (form.endswith(u'że') and tag[1] == 'impt')
and not negated_form):
if form.endswith(end): # ech...
base_form = cut_end(form, end)
if label == '10':
bf10 = base_form
base_forms.append((base_form, label))
derived = set()
labels = set(label for (form, label) in base_forms)
if '10' in labels and bf10 + 'y' in all_forms:
derived.add('ppas')
for form, tag in forms:
plain_tag = ':'.join(tag)
if plain_tag.startswith('subst:ger') and '11' in labels:
derived.add('ger')
if plain_tag.startswith('pact') and '3' in labels:
derived.add('pact')
old_base_forms = base_forms
if 'ppas' not in derived:
base_forms = []
for base_form, label in old_base_forms:
if label != '12':
base_forms.append((base_form, label))
if DEBUG:
for f, l in base_forms:
print f, l
return {'base_forms': base_forms, 'derived': derived}
else:
return {}
def relevant_subst(ending, gender, tantum):
bfl = ending.base_form_label.entry
tag = bfl.split(':')
type = ending.pattern.type.entry
return (not (gender in ('m1', 'p1') and bfl == 'pl:nom') and
not (len(tag) >= 3 and gender[0] != 'p' and
tag[2][0] != gender[0]) and
not (tantum and tag[0] != tantum) and
not (gender == 'p3' and bfl.startswith('pl:gen:') and (
(type == 'n' and tag[2] == 'n') or
(type == 'f' and tag[2] == 'm')
)) and
not (gender not in ('m1', 'p1') and bfl == 'pl:nom:mo'))
def relevant_adj(ending, **extra):
tag = ending.base_form_label.entry
return tag not in ('0', '3+')
def relevant_v(ending, base_forms, derived):
tag = ending.base_form_label.entry
if 'ppas' not in derived and tag == '12':
return False
if 'ger' not in derived and tag in ('11', '11pg'):
return False
return tag not in ("6'",)
def relevant(lexical_class, ending, **extra):
if lexical_class.symbol == 'subst':
return relevant_subst(ending, **extra)
elif lexical_class.symbol == 'adj':
return relevant_adj(ending, **extra)
elif lexical_class.symbol == 'v':
return relevant_v(ending, **extra)
from itertools import chain, combinations
def powerset(iterable):
"powerset([1,2,3]) --> () (1,) (2,) (3,) (1,2) (1,3) (2,3) (1,2,3)"
s = list(iterable)
return chain.from_iterable(
combinations(s, r) for r in range(min(len(s)+1, 5)))
def find_minimal_sets(form_set, covered_forms, necessary_patterns,
included_patterns, ending_sets):
unnecessary_patterns = list(set(included_patterns) - set(necessary_patterns))
found = []
for subset in powerset(unnecessary_patterns):
for found_set in found:
if set(tuple(necessary_patterns) + subset).issuperset(found_set):
break
else:
new_covered = set(covered_forms)
for pattern, root in subset:
new_covered |= ending_sets[pattern]
if form_set.issubset(new_covered):
found.append(tuple(necessary_patterns) + subset)
return found
sure_bfls_sg = tuple(
BaseFormLabel.objects.filter(
entry__in=['sg:dat', 'sg:gen', 'sg:inst']).values_list('pk', flat=True))
sure_bfls_pl = tuple(
BaseFormLabel.objects.filter(
entry__in=['pl:dat', 'pl:inst', 'pl:loc']).values_list('pk', flat=True))
def basic_form_endings(lexical_class, basic_form, form_set, **extra):
if 'gender' in extra:
key = (lexical_class, extra['gender'])
else:
key = lexical_class
if lexical_class.symbol != 'subst':
return basic_form_endings_dict[key].filter(string__in=suffixes(basic_form))
else:
# karkołomne, ale trochę przyśpiesza
endings = basic_form_endings_dict[key]
new_endings = Ending.objects.none()
for suf in suffixes(basic_form):
root = cut_end(basic_form, suf)
n = len(root)
ending_strings = tuple(
form[n:] for form in form_set if form.startswith(root))
endings_part = endings.filter(string=suf)
pattern_pks = endings_part.values_list('pattern', flat=True)
patterns = Pattern.objects.filter(pk__in=pattern_pks).extra(
where=["(w_id = '0000' or not exists "
"(select id from zakonczenia where w_id = wzory.id "
"and zak not in %s and efobaz in %s) or not exists "
"(select id from zakonczenia where w_id = wzory.id "
"and zak not in %s and efobaz in %s))"],
params=[ending_strings, sure_bfls_sg, ending_strings, sure_bfls_pl])
new_endings = new_endings | endings_part.filter(pattern__in=patterns)
return new_endings
memoized_good_endings = {}
def good_ending_set_subst(pattern, root, tantum, gender):
if (pattern, tantum, gender) in memoized_good_endings:
good_endings = memoized_good_endings[(pattern, tantum, gender)]
return set(root + e for e in good_endings)
endings = pattern.endings
if tantum:
endings = endings.filter(base_form_label__entry__startswith=tantum)
if gender not in ('m1', 'p1'):
endings = endings.exclude(base_form_label__entry='pl:nom:mo')
if gender[0] != 'p':
for g in list(set('mfn') - set(gender[0])):
endings = endings.exclude(
base_form_label__entry__startswith='pl:gen:' + g)
if gender == 'p3':
if pattern.type.entry == 'f':
endings = endings.exclude(base_form_label__entry='pl:gen:m')
if pattern.type.entry == 'n':
endings = endings.exclude(base_form_label__entry='pl:gen:n')
good_endings = list(endings.values_list('string', flat=True))
memoized_good_endings[(pattern, tantum, gender)] = good_endings
return set(root + e for e in good_endings)
def good_ending_set(lexical_class, pattern, root='', **extra):
if lexical_class.symbol != 'subst':
return pattern.ending_set(root)
else:
return good_ending_set_subst(pattern, root, **extra)
memoized_pattern_ics = {}
def bad_pattern_subst(pattern, gender, tantum):
if (pattern, gender) in memoized_pattern_ics:
return memoized_pattern_ics[(pattern, gender)]
ics = genders2[gender]
if not pattern.lexemeinflectionpattern_set.filter(
inflection_characteristic__entry__in=ics).filter(lexeme__pk__in=sgjp):
ret = True
elif pattern.type.entry in 'mn' and gender == 'f':
ret = True
elif pattern.type.entry in 'fm' and gender == 'n':
ret = True
else:
ret = False
memoized_pattern_ics[(pattern, gender)] = ret
return ret
def find_patterns(lexical_class, forms, **extra):
basic_form = forms[0][0]
patterns = Pattern.objects.filter(type__lexical_class=lexical_class)
# znaleźć wszystkie zawarte i zawierające wzory
form_set = get_form_set(forms)
if lexical_class.symbol == 'v':
form_set = set(form for form, label in extra['base_forms'])
all_forms = set(form for form, tag in forms)
ending_sets = {}
included_patterns = set()
including_patterns = set()
matching_patterns = set()
base_forms_changed = False
for basic_ending in basic_form_endings(lexical_class, basic_form, form_set, **extra):
pattern = basic_ending.pattern
if lexical_class.symbol == 'subst' and bad_pattern_subst(pattern, **extra):
#print 'odpadł:', pattern
continue # olewamy komentarze że formy odrzucone przez charfle?
root = basic_form[:len(basic_form) - len(basic_ending.string)]
ending_sets[pattern] = good_ending_set(
lexical_class, pattern, root, **extra)
including = form_set.issubset(ending_sets[pattern])
extra_base_forms = []
bad_forms = set()
for ending in pattern.endings.all():
if relevant(lexical_class, ending, **extra):
if root + ending.string not in form_set:
bfl = ending.base_form_label.entry
#print pattern.name, root, ending.string, bfl
if lexical_class.symbol == 'v':
for label, tag, end in v_base_forms:
if label == bfl:
if root + ending.string + end in all_forms:
for form, tag in forms:
if form == root + ending.string + end:
this_tag = tag
break
# ech... uwielbiam zgadywać błędy
if (bfl in ('4', '5', "6'", '10', '11', '11pg', '12') and
(this_tag == ('verb', 'irreg') or this_tag[1] == 'ger')):
extra_base_forms.append(
(root + ending.string, label))
break
else: # jeśli to nie była niewykryta forma bazowa
for label, tag, end in v_base_forms:
if label == bfl:
bad_forms.add(root + ending.string + end)
break
else: # inne części mowy nie mają istotnych sufiksów?
bad_forms.add(root + ending.string)
if not bad_forms:
if extra_base_forms:
extra['base_forms'] += extra_base_forms
base_forms_changed = True
included_patterns.add((pattern, root))
if including:
matching_patterns.add((pattern, root))
elif including:
including_patterns.add(((pattern, root), tuple(bad_forms)))
if base_forms_changed:
#print extra['base_forms']
return find_patterns(lexical_class, forms, **extra)
# nie wiem, czy to potrzebne, ale na wszelki wypadek
included_patterns = list(included_patterns)
including_patterns = list(including_patterns)
matching_patterns = list(matching_patterns)
if len(matching_patterns) > 0:
if DEBUG:
print u'dokładne wzory: %s' % join(matching_patterns)
return 'match', matching_patterns, included_patterns, including_patterns
# nic nie pasuje albo trzeba wybrać wiele wzorów
if DEBUG and len(including_patterns) > 0:
print u'zawierające: %s' % join(p for p, b_f in including_patterns)
if DEBUG and len(included_patterns) > 0:
print u'zawarte: %s' % join(included_patterns)
return find_many_patterns(
lexical_class, form_set, basic_form, included_patterns, ending_sets,
**extra) + (included_patterns, including_patterns)
def find_many_patterns(lexical_class, form_set, basic_form, included_patterns,
ending_sets, **extra):
necessary_patterns = set()
missing_form = None
for form in form_set:
having = []
for pattern, root in included_patterns:
if form in ending_sets[pattern]:
having.append((pattern, root))
if len(having) == 1:
necessary_patterns.add(having[0])
if not having:
missing_form = form
break
if missing_form:
if DEBUG:
print u"brak formy: %s" % missing_form
return 'none', []
covered_forms = set()
for pattern, root in necessary_patterns:
covered_forms |= ending_sets[pattern]
if form_set.issubset(covered_forms):
if DEBUG:
print u"pokryte koniecznymi wzorami: %s" % join(necessary_patterns)
return 'many', [list(necessary_patterns)]
else:
#for pattern, root in included_patterns:
# print pattern, ending_sets[pattern]
minimal_sets = find_minimal_sets(
form_set, covered_forms, necessary_patterns, included_patterns,
ending_sets)
return 'many', minimal_sets
def check_sgjp_v(entry, ic, patterns, base_forms, derived):
lexemes = Lexeme.objects.distinct().filter(
entry=entry, part_of_speech__symbol='v')
lexemes = lexemes.filter(pk__in=sgjp)
for lexeme in lexemes:
sgjp_patterns = set()
for lip in lexeme.lexemeinflectionpattern_set.all():
sgjp_ic = lip.inflection_characteristic.entry
# TODO co z q*?
if sgjp_ic != ic and ic in ('dk', 'ndk'):
break
if sgjp_ic in ('dk', 'ndk') and ic not in ('dk', 'ndk'):
break
sgjp_patterns.add((lip.pattern, lip.root))
else:
if set(patterns) == sgjp_patterns:
sgjp_derived = {}
for pos in ('ger', 'pact', 'ppas'):
derived_part = lexeme.refs_to.filter(
type='ver' + pos, to_lexeme__deleted=False)
if pos == 'ppas':
derived_part = derived_part
if derived_part:
sgjp_derived[pos] = [der.to_lexeme for der in derived_part]
if derived == set(sgjp_derived):
return lexeme, sgjp_derived
return False, None
def check_sgjp(lc_sym, entry, form_set, forms, **extra):
if lc_sym == 'v':
return False
if lc_sym != 'adj':
lexemes = Lexeme.objects.distinct().filter(
entry=entry, part_of_speech__lexical_class__symbol=lc_sym)
else:
if forms[0][1][-1] == 'comp':
parts_of_speech = ['adjcom']
else:
parts_of_speech = ['adj', 'appas']
lexemes = Lexeme.objects.distinct().filter(
entry=entry, part_of_speech__symbol__in=parts_of_speech)
lexemes = lexemes.filter(pk__in=sgjp)
matched_lexemes = []
for lexeme in lexemes:
if lc_sym == 'adj' and lexeme.refs_to.filter(
type='nieadj', to_lexeme__deleted=False):
continue
if lc_sym == 'subst' and extra['tantum'] == 'sg':
sgjp_forms = lexeme.all_forms(affixes=False, label_filter=r'sg:')
elif lexeme.part_of_speech.symbol == 'appas':
sgjp_forms = lexeme.all_forms(affixes=True)
else:
sgjp_forms = lexeme.all_forms(affixes=False)
if sgjp_forms == form_set:
matched_lexemes.append(lexeme)
continue
diff = sgjp_forms - form_set
exceptions = []
if lc_sym == 'subst':
if lexeme.lexemeinflectionpattern_set.filter(
inflection_characteristic__entry__in=('m1', 'p1')).exists():
# depr
exceptions = lexeme.all_forms(affixes=False, label_filter=r'^pl:nom$')
elif lc_sym == 'adj':
# -o
exceptions = lexeme.all_forms(affixes=False, label_filter=r'^0$')
if form_set.issubset(sgjp_forms) and diff.issubset(exceptions):
matched_lexemes.append(lexeme)
if len(matched_lexemes) > 1:
if lc_sym == 'subst' and entry.endswith(u'ość'):
matched_lexemes_subst = [
l for l in matched_lexemes if l.part_of_speech.symbol == 'subst']
if matched_lexemes_subst:
matched_lexemes = matched_lexemes_subst
if len(matched_lexemes) > 1:
debug(entry, u'niejednoznaczność dopasowanych leksemów')
if len(matched_lexemes) > 0:
return matched_lexemes[0]
return False
# dla przymiotników
def get_negation(lc_sym, lexeme):
negations = [cf.to_lexeme for cf in CrossReference.objects.filter(
from_lexeme=lexeme, to_lexeme__deleted=False, type='adjnie')]
good_negation = None
for n in negations:
if n.entry == u'nie' + lexeme.entry:
if all(lip.inflection_characteristic.entry == '0-'
for lip in n.lexemeinflectionpattern_set.all()):
good_negation = n
return good_negation
def closest_lexeme_subst(entry, gender, patterns, included=None):
lexemes = Lexeme.objects.filter(
deleted=False, part_of_speech__lexical_class__symbol='subst')
lexemes = lexemes.distinct()
# ten sam rodzaj
gender = gender[0] if gender != 'm1' else 'm1'
if genders[gender]:
lexemes = lexemes.filter(
lexemeinflectionpattern__inflection_characteristic__entry__in=
genders[gender])
if not included:
# posiada wzór zawierający się w pasujących
lexemes = lexemes.filter(lexemeinflectionpattern__pattern__in=patterns)
else:
#print patterns, included
new_lexemes = Lexeme.objects.none()
# posiada wszystkie wzory z któregoś zestawu
for pattern_set in patterns:
part = lexemes
for pattern, root in pattern_set:
part = part.filter(lexemeinflectionpattern__pattern=pattern)
new_lexemes = new_lexemes | part
lexemes = new_lexemes.distinct()
# nie posiada wzorów niezawierających się w pasujących, dobra wielkość
uppercase = entry[0].isupper()
good_lexemes = []
for lexeme in lexemes:
if lexeme.entry[0].isupper():
for lip in lexeme.lexemeinflectionpattern_set.all():
if not included:
if lip.pattern not in patterns:
break
else:
if lip.pattern not in included:
break
else:
good_lexemes.append(lexeme)
# najdłuższe wspólne zakończenie
best = (-1, None)
for lexeme in good_lexemes:
common_suffix = 0
for char1, char2 in zip(entry[::-1], lexeme.entry[::-1]):
if char1 == char2:
common_suffix += 1
else:
break
if common_suffix > best[0]:
best = (common_suffix, lexeme)
return best[1]
def get_inflection_characteristic_subst(forms, patterns, gender, ic, tantum):
if tantum == 'sg' and ic == 'm':
ic = 'm3'
elif ic in ('n', 'i'): # ech, to 'i' - nadal możliwe?
ic = 'n2'
elif ic == 'm':
ic = 'm3'
sg_acc = []
for form in forms:
if len(form[1]) >= 3 and form[1][1:3] == ('sg', 'acc'):
sg_acc.append(form[0])
if len(sg_acc) == 1:
if sg_acc[0] != forms[0][0]:
ic = 'm2'
return ic
def get_inflection_characteristic_adj(forms, patterns, **extra):
# charfl: 3+ jeśli jest adjp
ic = '0-'
for form in forms:
if form[1][0] == 'adjp':
ic = '3+'
if patterns[0][0].endings.filter(base_form_label__entry='0') and ic != '3+':
ic = ''
return ic
def get_inflection_characteristic_v(forms, base_forms, **extra):
# dk, ndk, ndk/dk
# na podstawie istnienia -ąc (ndk), -szy (dk)
ndk = dk = nonq = False
for form in forms:
if form[0].endswith(u'ąc') and not ':'.join(form[1]).startswith('verb:inf'):
ndk = True
elif form[0].endswith(u'wszy') or form[0].endswith(u'łszy'):
dk = True
elif ':'.join(form[1]).startswith('verb:praet:sg:pri'):
nonq = True
if not dk and not ndk: # mniej wiarygodne - czy mdlić może być dk?
for form in forms:
if form[1][1] == 'inf':
if form[1][-1] == 'imperf':
ndk = True
elif form[1][-1] == 'perf':
dk = True
break
if ndk and not dk:
ic = 'ndk'
elif dk and not ndk:
ic = 'dk'
elif ndk and dk:
ic = 'ndk/dk'
else:
debug(forms[0][0], u'nie udało się ustalić aspektu')
ic = None
if ic and not nonq:
ic = 'q' + ic
return ic
def get_inflection_characteristic(lc_sym, forms, patterns, **extra):
if lc_sym == 'subst':
return get_inflection_characteristic_subst(forms, patterns, **extra)
elif lc_sym == 'adj':
return get_inflection_characteristic_adj(forms, patterns, **extra)
elif lc_sym == 'v':
return get_inflection_characteristic_v(forms, **extra)
def blacklist_filter(patterns):
return [(pattern, root) for (pattern, root) in patterns
if pattern.name not in blacklist]
def filter_patterns(filter, action_name, type, patterns, included, including,
lexical_class, form_set, entry, **extra):
old_patterns = patterns
old_included = included
bad_patterns = False
if type == 'many':
if any(pattern_set != filter(pattern_set) for pattern_set in patterns):
included = filter(included)
ending_sets = {}
for pattern, root in included:
ending_sets[pattern] = good_ending_set(
lexical_class, pattern, root, **extra)
type, patterns = find_many_patterns(
lexical_class, form_set, entry, included, ending_sets, **extra)
if type != 'many':
debug(entry, u'mnogie dopasowanie zepsute przez %s (%s)' %
(action_name, join_many(old_patterns)))
type = 'many'
patterns, included = old_patterns, old_included
bad_patterns = True
elif type == 'none':
including_dict = dict(including)
including = [(key, including_dict[key]) for key in filter(including_dict)]
else: # type == 'match'
patterns = filter(patterns)
including_dict = dict(including)
including = [(key, including_dict[key]) for key in filter(including_dict)]
included = filter(included)
if old_patterns and not patterns:
ending_sets = {}
for pattern, root in included:
ending_sets[pattern] = good_ending_set(
lexical_class, pattern, root, **extra)
type, patterns = find_many_patterns(
lexical_class, form_set, entry, included, ending_sets, **extra)
if type == 'none':
debug(entry, u'znikły wzory przez %s (%s)' %
(action_name, join(old_patterns)))
type = 'match'
patterns = old_patterns
bad_patterns = True
return type, patterns, included, including, bad_patterns
def create_derived(pos, base_forms, forms, patterns):
tab = {'ger': ('11', u'ie'), 'pact': ('3', u'cy'), 'ppas': ('10', u'y')}
entries = {}
for pattern, root in patterns:
bfl = tab[pos][0]
ending = pattern.endings.get(base_form_label__entry=bfl)
entry = root + ending.string + tab[pos][1]
if entry not in entries:
entries[entry] = []
entries[entry].append(pattern.name)
output = []
for entry, patterns in entries.iteritems():
if entry in (form[0] for form in forms):
output.append((pos, entry, patterns))
return output
def get_sgjp(lexeme):
return {'source': 'sgjp', 'id': lexeme.pk, 'entry': lexeme.entry}
def create_lexeme(entry, homonym_number, part_of_speech, status, comment):
return {
'source': 'morfologik',
'entry': entry,
'homonym_number': homonym_number,
'part_of_speech': part_of_speech,
'status': status,
'comment': comment,
}
def create_lip(pattern, root, i, ic, part_of_speech):
output = {
'pattern': pattern if isinstance(pattern, basestring) else pattern.name,
'ind': i,
'ic': (ic, part_of_speech),
}
if root:
output['root'] = {'type': 'string', 'root': root}
else:
output['root'] = {'type': 'compute'}
return output
alternative_gender = {
'p1': 'p3',
'p3': 'p1',
'm1': 'm2/m3',
'm': 'm1',
}
alternative_gender2 = {
'p1': 'p3',
'p3': 'p1',
'm1': 'm',
'm': 'm1',
}
def lexeme_creation(lc_sym, entry, ic, forms, type, patterns, fitting,
bad_patterns, included, other_result, tantum=None,
gender=None, negated=None, base_forms=None, derived=None):
homonym_number = 1
status = 'desc' if type != 'none' else 'cand'
comments = []
copy_lips = False
if lc_sym == 'subst':
part_of_speech = 'subst' # co z osc i skrs?
if ic in ('m2', 'm3'):
sure = False
if type != 'none' and len(fitting) == 1:
for pattern, root in patterns:
for e in patterns[0][0].endings.filter(base_form_label__entry='sg:gen'):
if not e.string.endswith('u'):
break
else:
continue
break
else: # wszystkie sg:gen kończą się na 'u'
ic = 'm3'
sure = True
for pattern, root in patterns:
if pattern.type.entry == 'f':
ic = 'm2'
sure = True
break
if not sure:
status = 'cand'
if tantum is None and ic == 'm1':
for pattern, root in patterns:
nmo_endings = pattern.endings.filter(base_form_label__entry='pl:nom')
for e in nmo_endings:
nmo_form = root + e.string
if nmo_form not in (form[0] for form in forms):
comments.append(u'Dodano formę depr')
break
else:
continue
break
if ic == 'p1':
for pattern, root in patterns:
nmo_endings = pattern.endings.filter(base_form_label__entry='pl:nom')
other_endings = pattern.endings.exclude(base_form_label__entry='pl:nom')
other_strings = other_endings.values_list('string', flat=True)
nmo_strings = [e.string for e in nmo_endings if e.string not in other_strings]
nmo_forms = set(root + s for s in nmo_strings)
if nmo_forms & set(form[0] for form in forms):
comments.append(
u'Usunięto formę depr: %s' % ', '.join(list(nmo_forms)))
break
if tantum == 'sg' and type != 'none':
if type == 'match':
search_patterns = [pattern for pattern, root in fitting]
l = closest_lexeme_subst(entry, gender, search_patterns)
else:
included_patterns = [pattern for pattern, root in included]
l = closest_lexeme_subst(entry, gender, fitting, included_patterns)
if l:
copy_lips = l.lexemeinflectionpattern_set.all()
#print l
comments.append(u'Automatycznie rozszerzone singulare tantum')
else:
if type == 'match':
p = join(fitting)
else:
p = join_many(fitting)
debug(entry, u'nie ma pasujących leksemów dla rozszerzenia sgtant '
u'dla wzorów %s' % p)
comments.append(u'Nie udało się rozszerzyć singulare tantum')
#status = 'cand'
# dodać kwalifikator [po imporcie jednak]
elif lc_sym == 'adj':
if forms[0][1][-1] == 'comp':
part_of_speech = 'adjcom'
ic = ''
else:
part_of_speech = 'adj'
if ic != '0-' and type != 'none':
comments.append(u'Dodano formę -o')
else: # lc_sym == 'v':
part_of_speech = 'v'
if type != 'none':
if ic is None:
comments.append(u'Nie udało się ustalić aspektu')
ic = 'ndk'
status = 'cand'
elif ic.startswith('q') and derived != set():
comments.append(u'Derywaty muszą mieć charfle bez q')
if bad_patterns:
comments.append(u'Wzory z czarnej listy!')
status = 'cand'
if len(fitting) > 1 or (type == 'none' and fitting):
status = 'cand'
if type == 'none':
comments.append(u'Zawierające wzory:')
for (pattern, root), bad_forms in fitting:
comments.append('%s: %s' % (pattern.name, ', '.join(bad_forms)))
elif type != 'many':
comments.append(u'Pasujące wzory: %s' % join(fitting))
else:
comments.append(u'Pasujące zestawy wzorów: %s' % join_many(fitting))
if other_result:
status = 'cand'
type2, patterns2, included2, including2 = other_result
comments.append(u'Alternatywny rodzaj: %s' % alternative_gender[gender])
if type2 == 'match':
comments.append(u'Pasujące wzory: %s' % join(patterns2))
elif type2 == 'many':
comments.append(u'Pasujące zestawy wzorów: %s' % join_many(patterns2))
# hm?
if ic is None and type != 'none':
comments.append(u'Dopasowane wzory: %s' % join(patterns))
# zbieramy wzory do porównania [fuj, copypasta!]
if len(fitting) > 1:
if type == 'none':
all_patterns = set(p for p, b_f in fitting)
elif type != 'many':
all_patterns = set(fitting)
else:
all_patterns = set()
for pattern_set in fitting:
all_patterns |= set(pattern_set)
diff = compare_patterns(list(all_patterns))
comments.append(u'Porównanie wzorów:')
for p, diff_forms in diff.iteritems():
comments.append(
'%s: %s' % (p.name, ', '.join('%s: %s' % pair for pair in diff_forms)))
if other_result and len(patterns2) > 1:
if type2 != 'many':
other_patterns = set(patterns2)
else:
other_patterns = set()
for pattern_set in patterns2:
other_patterns |= set(pattern_set)
diff = compare_patterns(list(other_patterns))
comments.append(u'Porównanie alternatywnych wzorów:')
for p, diff_forms in diff.iteritems():
comments.append(
'%s: %s' % (p.name, ', '.join('%s: %s' % pair for pair in diff_forms)))
comment = '\n'.join(comments)
output = {
'lexeme': create_lexeme(
entry, homonym_number, part_of_speech, status, comment)
}
lips = []
if ic is not None:
if not copy_lips:
for i, (pattern, root) in enumerate(patterns):
lips.append(create_lip(pattern, root, i + 1, ic, part_of_speech))
else:
for lip in copy_lips:
ic = lip.inflection_characteristic.entry
lips.append(
create_lip(lip.pattern, None, lip.index, ic, part_of_speech))
output['lips'] = lips
if lc_sym == 'adj' and negated:
output['negated'] = True
if lc_sym == 'v':
derived_data = []
for pos in derived:
# wypadałoby informować, jeśli wyszło puste... (?)
derived_data += create_derived(pos, base_forms, forms, patterns)
output['derived'] = derived_data
return output
def process_forms(lexical_class, forms, **extra):
lc_sym = lexical_class.symbol
other_result = None
entry = forms[0][0]
form_set = get_form_set(forms)
check = check_sgjp(lc_sym, entry, form_set, forms, **extra)
if check and not DEBUG:
# dopisz leksem do słownika
data = {'lexeme': get_sgjp(check)}
if (lc_sym == 'adj' and extra['negated']):
neg = get_negation(lc_sym, check)
if neg:
print_data({'lexeme': get_sgjp(neg)})
else:
data['negated'] = True
print_data(data)
else:
if lexical_class.symbol == 'subst':
ic = extra['gender']
extra2 = dict(extra)
# jeśli rzeczownik męski lub pltant, to puszczamy więcej razy
if lexical_class.symbol == 'subst' and extra['gender'] in 'pm':
if extra['gender'] == 'm':
type2, patterns2, included2, including2 = find_patterns(
lexical_class, forms, **extra)
extra2['gender'] = 'm1'
type1, patterns1, included1, including1 = find_patterns(
lexical_class, forms, **extra2)
elif extra['gender'] == 'p':
extra2['gender'] = 'p1'
type1, patterns1, included1, including1 = find_patterns(
lexical_class, forms, **extra2)
extra2['gender'] = 'p3'
type2, patterns2, included2, including2 = find_patterns(
lexical_class, forms, **extra2)
if type1 != 'none' and type2 == 'none':
type, patterns, included, including = type1, patterns1, included1, including1
if extra['gender'] == 'm':
ic = 'm1'
else:
ic = 'p1'
elif type1 == 'none' and type2 != 'none':
type, patterns, included, including = type2, patterns2, included2, including2
if extra['gender'] == 'm':
ic = 'm'
else:
ic = 'p3'
elif type1 == type2 == 'none':
type = 'none'
patterns = []
included = list(set(included1) | set(included2))
including = list(set(including1) | set(including2))
# chyba warto coś ustawić
if extra['gender'] == 'm':
ic = 'm'
else:
ic = 'p3'
else: # z obu coś wyszło
type, patterns, included, including = type1, patterns1, included1, including1
if extra['gender'] == 'm':
ic = 'm1'
else:
ic = 'p1'
other_result = (type2, patterns2, included2, including2)
if DEBUG:
print u"dwie możliwości na rodzaj"
else:
type, patterns, included, including = find_patterns(
lexical_class, forms, **extra)
if type == 'none':
if lexical_class.symbol == 'subst' and not extra['tantum']:
extra['tantum'] = tantum_a_posteriori(
form_set, [p for p, b_f in including])
if extra['tantum']:
if extra['tantum'] == 'pl':
extra['gender'] = 'p'
#if ic == 'm1':
# extra['gender'] = 'p1'
#else:
# extra['gender'] = 'p3'
return process_forms(lexical_class, forms, **extra)
if lexical_class.symbol == 'subst':
extra2['gender'] = ic
type, patterns, included, including, bad_patterns = filter_patterns(
blacklist_filter, u'czarną listę', type, patterns, included, including,
lexical_class, form_set, entry, **extra2)
if bad_patterns and other_result:
type, patterns, included, including = other_result
ic = extra2['gender'] = alternative_gender2[ic]
type, patterns, included, including, bad_patterns = filter_patterns(
blacklist_filter, u'czarną listę', type, patterns, included, including,
lexical_class, form_set, entry, **extra2)
other_result = None
elif other_result:
type2, patterns2, included2, including2 = other_result
new_other_result = filter_patterns(
blacklist_filter, u'czarną listę', type2, patterns2, included2,
including2, lexical_class, form_set, entry, **extra2)
if not new_other_result[4]:
other_result = new_other_result[:4]
else:
other_result = None
# wzory się już nie zmienią od tego miejsca
if type == 'many':
# albo patterns[0]...
all_patterns = [p for pattern_set in patterns for p in pattern_set]
else:
all_patterns = patterns
if type != 'none':
# brzydko...
if lexical_class.symbol == 'subst':
extra['ic'] = ic
ic = get_inflection_characteristic(lc_sym, forms, all_patterns, **extra)
if lexical_class.symbol == 'subst':
del extra['ic']
else:
ic = None
if lc_sym == 'subst':
# poprawka dla m2/m3
if ic in ('m2', 'm3') and patterns and not bad_patterns:
new_ic = ''
for pattern, root in all_patterns:
for ic2 in ('m2', 'm3'):
# jeśli wszystkie użycia tego wzoru są przy ic2
if not pattern.lexemeinflectionpattern_set.exclude(
inflection_characteristic__entry=ic2).filter(
lexeme__pk__in=sgjp).exists():
if new_ic == '':
new_ic = ic2
elif new_ic != ic2:
new_ic = None
if new_ic:
ic = new_ic
if type == 'none':
debug(entry, u'zawiera się w %s' % join(p for p, b_f in including))
chosen = []
fitting = including
if lexical_class.symbol == 'adj' and including:
print_forms(forms, 'rzeczownik#')
return
elif type == 'match':
patterns.sort(key=lambda p: p[0].name)
fitting = patterns
chosen = patterns[:1]
elif type == 'many':
chosen = patterns[0]
if DEBUG:
print u'zestawy wielu wzorów: %s' % join_many(patterns)
fitting = patterns
if not DEBUG and lc_sym == 'v':
check, sgjp_derived = check_sgjp_v(entry, ic, chosen, **extra)
if check:
print_data({'lexeme': get_sgjp(check)})
for derived_lexemes in sgjp_derived.values():
for derived_lexeme in derived_lexemes:
print_data({'lexeme': get_sgjp(derived_lexeme)})
return
if not DEBUG:
data = lexeme_creation(
lc_sym, entry, ic, forms, type, chosen, fitting, bad_patterns, included,
other_result, **extra2)
print_data(data)
def get_pos_ndm(tag):
if tag[0] == 'adv':
return 'adv' if tag[-1] != 'comp' else 'advcom'
elif tag[0] == 'xxx':
return 'burk'
else:
return tag[0]
def process_ndm(forms):
entry = forms[0][0]
form_set = get_form_set(forms)
pattern_name = 'ndm'
ics = ['']
tag = forms[0][1].split(':')
pos = get_pos_ndm(tag)
status = 'desc'
comments = []
if len(form_set) > 2:
debug(entry, u'nieodmienne z ponad dwiema formami')
comments.append(u'nieodmienne z ponad dwiema formami')
status = 'cand'
ics = []
elif pos == 'prep':
if len(tag) == 1:
debug(entry, u'przyimek bez przypadku')
comments.append(u'przyimek bez przypadku')
status = 'cand'
ics = []
else:
ics = tag[1].split('.')
if len(form_set) == 2:
if entry + u'e' == forms[1][0]:
pattern_name = 'ndm e'
else:
debug(entry, u'nierozpoznana odmiana przyimka')
comments.append(u'nierozpoznana odmiana przyimka')
status = 'cand'
elif len(form_set) == 2:
if pos == 'adv' and forms[1][0] == u'nie' + entry:
process_ndm(forms[:1])
process_ndm(forms[1:])
return
else:
debug(entry, u'nierozpoznane nieodmienne z dwiema formami')
comments.append(u'nierozpoznane nieodmienne z dwiema formami')
status = 'cand'
# sprawdzić czy to co wyszło jest już w sgjp
lexemes = Lexeme.objects.distinct().filter(entry=entry)
lexemes = lexemes.filter(pk__in=sgjp)
if pos == 'adv':
lexemes = lexemes.filter(part_of_speech__symbol__in=('adv', 'advndm'))
elif pos == 'conj':
lexemes = lexemes.filter(part_of_speech__symbol__in=('conj', 'comp'))
else:
lexemes = lexemes.filter(part_of_speech__symbol=pos)
in_sgjp = bool(lexemes)
for lexeme in lexemes:
sgjp_ics = set()
for lip in lexeme.lexemeinflectionpattern_set.all():
if lip.pattern.name != pattern_name:
in_sgjp = False
break
sgjp_ics.add(lip.inflection_characteristic.entry)
if set(ics) != sgjp_ics:
in_sgjp = False
if in_sgjp:
break
if in_sgjp:
print_data({'lexeme': get_sgjp(lexeme)})
else:
homonym_number = 1
data = {
'lexeme': create_lexeme(
entry, homonym_number, pos, status, '\n'.join(comments))
}
lips = []
for i, ic in enumerate(ics):
lips.append(create_lip(pattern_name, entry, i + 1, ic, pos))
data['lips'] = lips
print_data(data)
def print_data(data):
print json.dumps(data)
def print_forms(forms, prefix):
for form, tag in forms:
try:
end = tag.index('pos')
except ValueError:
end = tag.index('comp')
new_tag = ':'.join(tag[:end]).replace('adj', 'subst')
print>>sys.stderr, ('%s%s\t%s' % (prefix, form, new_tag)).encode('utf-8')
print>>sys.stderr, prefix
def parse_file(lc_sym, path):
with open(path) as file:
lexical_class = LexicalClass.objects.get(symbol=lc_sym)
forms = []
for line in file:
line = line.decode('utf-8').rstrip('\n')
if line == '':
if lc_sym == 'ndm':
process_ndm(forms)
else:
forms = expand_forms(forms)
extra = get_extra(lexical_class, forms)
process_forms(lexical_class, forms, **extra)
forms = []
else:
form, tag = line.split('\t')
if DEBUG and forms == []:
print form
forms.append((form, tag))