SGJP / Kuznia

# -*- coding: utf-8 -*-

import sqlite3
import datetime
from django.db import connection
from django.core.management.base import BaseCommand
from django.db.transaction import atomic

from common.util import no_history
from dictionary.management.commands.create_classifications import \
    create_classifications
from dictionary.models import CrossReference, Ending, LexemeInflectionPattern, \
    Lexeme, PatternType, BaseFormLabel, CrossReferenceType, LexemeAssociation, \
    LexicalClass, PartOfSpeech, Pattern, Qualifier, Vocabulary, \
    LexemeAttribute, Gender, LexemeAttributeValue, ClassificationValue, \
    LexemeCV, LexemeAV, Variant, Classification, History

MINI_MODE = True # do debugowania
MINI_LEXEME_COUNT = 1000
MINI_LEXEME_QUERY = "SELECT %s FROM leksemy ORDER BY haslo COLLATE NOCASE LIMIT ?"

BATCH_SIZE = 5000

OTHER = u'skr'
DEFAULT_VOCAB = u'SGJP'

POS_TRANSLATION = {
    u'burk': u'fraz',
    u'qub': u'part',
}

COMMONNESS_TRANSLATION = {
    u'geogr.': u'geograficzna',
    u'ogranizacja': u'organizacja',
    u'instutycja': u'instytucja',
    u'tytuł.': u'tytuł',
}

ATTRS = {
    u'zwrotność': (
        (('v', 'ger', 'pact'), None),
        (
            (u'—', u''),
            (u'się', u'się'),
            (u'(się)', u'(się)'),
            (u'sobie', u'sobie'),
            (u'(sobie)', u'(sobie)'),
            (u'się/sobie', u'się/sobie'),
        ),
        ('haslosuf', lambda suf: suf.strip(' ?') or u'—'),
        'single',
    ),
    u'przechodniość': (
        (('v', 'pred'), None),
        (
            ('iT', u'nieprzechodni'),
            ('qT', u'quasi-przechodni'),
            ('T', u'przechodni'),
        ),
        ('przechodniosc', lambda x: x),
        'single',
    ),
    u'aspekt': (
        (('v', 'pred', 'ger', 'pact', 'ppas', 'appas'), None),
        (
            ('dk', u'dk'),
            ('ndk', u'ndk'),
            ('ndk/dk', u'ndk/dk'),
            ('dk/ndk', u'dk/ndk'),
            ('ndk/(dk)', u'ndk/(dk)'),
            ('dk/(ndk)', u'dk/(ndk)'),
        ),
        ('aspekt', lambda x: x),
        'single',
    ),
    u'właściwy': (
        (('v', 'pred'), None),
        (
            ('Q', u'niewłaściwy'),
            ('(Q)', u'właściwy/niewłaściwy'),
            ('', u'właściwy'),
        ),
        ('właściwy', lambda x: x),
        'single',
    ),
    u'depr': (
        (('subst', 'skrs'), 'm1'),
        (
            ('n', u'n'),
            ('d', u'd'),
            ('nd', u'nd'),
        ),
        ('depr', lambda x: x),
        'single',
    ),
    u'osoba': (
        (('ppron',), None),
        (
            ('', u''),
            ('pri', u''),
            ('sec', u''),
        ),
        ('charfl', lambda x: x),
        'single',
    ),
    u'forma złoż.': (
        (('adj', 'adjcom', 'pact', 'ppas', 'appas'), None),
        (
            ('obecna', u''),
            ('nieobecna', u''),
        ),
        ('charfl', lambda x: 'obecna' if x != '0-' else 'nieobecna'),
        'single',
    ),
    u'forma poprz.': (
        (('adj', 'adjcom', 'pact', 'ppas', 'appas'), None),
        (
            ('obecna', u''),
            ('nieobecna', u''),
        ),
        ('charfl', lambda x: 'obecna' if x == '3+' else 'nieobecna'),
        'single',
    ),
    u'przypadek': (
        (('prep',), None),
        (
            ('nom', u'M'),
            ('gen', u'D'),
            ('dat', u'C'),
            ('acc', u'B'),
            ('inst', u'N'),
            ('loc', u'Msc'),
        ),
        ('charfl', lambda x: x),
        'multi',
    ),
    u'dokładniej': (
        (('advndm', 'interj', 'fraz', 'comp', 'part', 'conj'), None),
        (
            (u'przysłówek', u''),
            (u'relator/przysłówek', u''),
            (u'zaimek przysłowny', u''),
            (u'przysłówek liczebnikowy', u''),
            (u'relator', u''),
            (u'człon frazeologizmu', u''),
            (u'człon nazwiska', u''),
            (u'człon nazwy', u''),
            (u'spójnik podrzędny związany', u''),
            (u'spójnik podrzędny', u''),
            (u'spójnik', u''),
            (u'spójnik równorzędny', u''),
            (u'spójnik (odpowiednik)', u''),
            (u'spójnik (odpowiednik \pim{póki})', u''),
            (u'spójnik lewy', u''),
            (u'wykrzyknik onomatopeiczny', u''),
            (u'wykrzyknik', u''),
            (u'wykrzyknik apelatywny', u''),
            (u'wykrzyknik parentetyczny', u''),
            (u'wykrzyknik parentetyczny (przerywnik)', u''),
            (u'prefiks', u''),
            (u'przyimek', u''),
            (u'modyfikator deklaratywności', u''),
            (u'partykuła', u''),
            (u'operator trybu', u''),
            (u'dopowiedzenie', u''),
            (u'operator adnumeratywny', u''),
            (u'operator adsubstantywny', u''),
        ),
        ('dokładniej', lambda x: x),
        'single',
    ),
    u'liczba selektywna': (
        (('num',), None),
        (
            ('sg', u'z l.p.'),
            ('pl', u''),
            ('sg/pl', u'Też z l.p.'),
        ),
        ('nota', lambda x:
            'sg/pl' if u'Też z l.p.' in x
            else 'sg' if 'z l.p.' in x else 'pl'),
        'single',
    ),
}

TEXT_ATTRS = {
    u'rzeczownik': (
        ('adj', 'adv'),
        'rzeczownik',
    ),
}

BASIC_FORM_LABELS = {
    'f': 'sg:nom',
    'm1': 'sg:nom',
    'm2': 'sg:nom',
    'm3': 'sg:nom',
    'n1': 'sg:nom',
    'n2': 'sg:nom',
    'p1': 'pl:nom:mo',
    'p2': 'pl:nom',
    'p3': 'pl:nom',
}

CSS_CLASS_TRANSLATION = {
    'h': 'header',
    'c': 'header-c',
    'b': 'blank',
    'd': 'data',
}


class Command(BaseCommand):
    args = '<input db filename>'
    help = 'Imports initial data'

    @atomic
    def handle(self, db_name, **options):
        raise Exception('Stale code')
        # ImportData(db_name).delete_and_import()


def get_cursor(db):
    conn = sqlite3.connect(db)
    conn.row_factory = sqlite3.Row
    return conn.cursor()


def bulk_create(model, objects):
    model.objects.bulk_create(objects, batch_size=BATCH_SIZE)


METHOD_NAMES = {
    CrossReference: 'import_cross_references',
    Ending: 'import_endings',
    LexemeInflectionPattern: 'import_lexeme_inflection_patterns',
    Lexeme: 'import_lexemes',
    PatternType: 'import_pattern_types',
    BaseFormLabel: 'new_base_form_labels',
    CrossReferenceType: 'new_cross_reference_types',
    Gender: 'new_genders',
    LexemeAssociation: 'new_lexeme_associations',
    LexicalClass: 'new_lexical_classes',
    PartOfSpeech: 'new_parts_of_speech',
    Pattern: 'new_patterns',
    Qualifier: 'new_qualifiers',
    Vocabulary: 'new_vocabularies',
}


class ImportData(object):
    def __init__(self, db):
        self.cursor = connection.cursor()
        self.sqlite_cursor = get_cursor(db)
        no_history()

    def close(self):
        self.cursor.close()
        self.sqlite_cursor.close()

    def new_lexical_classes(self):
        for row in self.sqlite_cursor.execute('select distinct pos from wzory'):
            if not LexicalClass.objects.filter(symbol=row['pos']).exists():
                yield LexicalClass(symbol=row['pos'])

    def cache_lc(self):
        if 'lc' not in self.__dict__:
            self.lc = dict((lc.symbol, lc) for lc in LexicalClass.objects.all())

    def translate_pos(self, pos):
        return POS_TRANSLATION.get(pos, pos)

    def new_parts_of_speech(self):
        lcs = {}
        for row in self.sqlite_cursor.execute(
                'select distinct wzory.pos, leksemy.pos from wzory '
                'natural join odmieniasie '
                'join leksemy on leksemy.nr = odmieniasie.nr'):
            lcs[row[1]] = row[0]

        for row in self.sqlite_cursor.execute('SELECT * FROM klasygramatyczne'):
            pos = self.translate_pos(row['pos'])
            if not PartOfSpeech.objects.filter(symbol=pos).exists():
                lc = lcs.get(pos, OTHER)
                yield PartOfSpeech(
                    symbol=pos,
                    full_name=row['nazwakl'],
                    index=row['klporz'],
                    color_scheme=row['posind'],
                    lexical_class_id=lc)

    def cache_pos(self):
        if 'pos' not in self.__dict__:
            self.pos = dict(
                (pos.symbol, pos) for pos in PartOfSpeech.objects.all())

    def cache_lc_pos(self):
        if 'lc_pos' not in self.__dict__:
            self.lc_pos = dict(
                (pos.symbol, pos.lexical_class) for pos in
                    PartOfSpeech.objects.all()
            )

    def new_base_form_labels(self):
        self.cache_lc_pos()
        query_result = self.sqlite_cursor.execute("""
            SELECT efobaz, pos FROM paradygmaty
        """)
        for row in query_result:
            yield BaseFormLabel(
                symbol=row[0], lexical_class=self.lc_pos[row[1]])
        query_result = self.sqlite_cursor.execute("""
            SELECT z.efobaz, w.pos FROM zakonczenia z
                JOIN wzory w ON z.wzor = wzory.wzor
        """)
        for row in query_result:
            yield BaseFormLabel(symbol=row[0], lexical_class_id=row[1])

    def cache_bfl(self):
        if 'bfls' not in self.__dict__:
            self.bfls = dict(
                ((bfl.symbol, bfl.lexical_class_id), bfl)
                    for bfl in BaseFormLabel.objects.all())

    def new_genders(self):
        result = self.sqlite_cursor.execute('''
            SELECT DISTINCT charfl FROM paradygmaty WHERE pos = 'subst'
        ''')
        for row in result:
            bfl_symbol = BASIC_FORM_LABELS[row['charfl']]
            bfl = BaseFormLabel.objects.get(
                symbol=bfl_symbol, lexical_class_id='subst')
            yield Gender(
                symbol=row['charfl'], basic_form_label=bfl)

    def cache_genders(self):
        if 'genders' not in self.__dict__:
            self.genders = dict(
                (gender.symbol, gender) for gender in Gender.objects.all()
            )

    def new_vocabularies(self):
        self.cache_vocabs()
        result = self.sqlite_cursor.execute("""
            SELECT slownik FROM leksemy
            UNION
            SELECT slownik_uz FROM slowniki_uzywajace
        """)
        for row in result:
            if row[0] not in self.vocabs:
                yield Vocabulary(id=row[0])

    def cache_vocabs(self):
        if 'vocabs' not in self.__dict__:
            self.vocabs = dict((v.id, v) for v in Vocabulary.objects.all())

    def new_qualifiers(self):
        styl_query = self.sqlite_cursor.execute("""
            select okwal from odmieniasie
            UNION
            SELECT zkwal from zakonczenia
            UNION
            SELECT kwalstyl FROM leksemy WHERE pos = 'subst'
        """)
        styl_quals = set()
        for row in styl_query:
            if row[0] != '' and row[0] is not None:
                for label in row[0].split(', '):
                    styl_quals.add(label)
        query_result = self.sqlite_cursor.execute("""
            SELECT okwal FROM odmieniasie
            UNION
            SELECT zkwal FROM zakonczenia
            UNION
            SELECT kwalzakr FROM leksemy
            UNION
            SELECT kwalstyl FROM leksemy
        """)
        added = set()
        for row in query_result:
            if row[0]:
                for qualifier_label in row[0].split(', '):
                    if qualifier_label not in added:
                        added.add(qualifier_label)
                        if qualifier_label in styl_quals:
                            type = Qualifier.TYPE_STYLE
                        else:
                            type = Qualifier.TYPE_SCOPE
                        yield Qualifier(label=qualifier_label, type=type,
                            vocabulary_id=DEFAULT_VOCAB)

    def cache_qualifiers(self):
        if 'qual' not in self.__dict__:
            self.qual = dict((q.label, q) for q in Qualifier.objects.all())

    def create_attributes(self):
        attr_values = {}
        text_attrs = {}
        for attr_name, attr_data in ATTRS.iteritems():
            (poses, gender), values, import_info, card = attr_data
            la, created = LexemeAttribute.objects.get_or_create(
                name=attr_name, closed=True, required=True,
                takes_gender=bool(gender), multiple=(card == 'multi'))
            la.parts_of_speech = PartOfSpeech.objects.filter(symbol__in=poses)
            if gender:
                la.genders.add(Gender.objects.get(symbol=gender))  # add
            values_cache = {}
            for val, display_val in values:
                values_cache[val], created = \
                    LexemeAttributeValue.objects.get_or_create(
                        value=val, display_value=display_val, attribute=la)
            attr_values[attr_name] = values_cache
        for attr_name, attr_data in TEXT_ATTRS.iteritems():
            poses, column = attr_data
            la, created = LexemeAttribute.objects.get_or_create(
                name=attr_name, closed=False)
            la.parts_of_speech = [poses]
            text_attrs[attr_name] = la
            attr_values[attr_name] = dict((v.value, v) for v in la.values.all())
        return attr_values, text_attrs

    def new_lexemes(self):
        self.cache_qualifiers()
        if MINI_MODE:
            result = self.sqlite_cursor.execute(
                MINI_LEXEME_QUERY % '*', (MINI_LEXEME_COUNT,))
        else:
            result = self.sqlite_cursor.execute('SELECT * FROM leksemy')
        attr_values, text_attrs = self.create_attributes()
        date = datetime.datetime.now()
        create_classifications()
        Classification.objects.get(name=u'pospolitość').vocabularies.add(
            DEFAULT_VOCAB)
        cv_table = dict(
            (cv.label, cv) for cv in ClassificationValue.objects.all())
        lexemes = []
        lexeme_associations = []
        lexeme_qualifiers = []
        lexeme_cvs = []
        lexeme_attrs = []
        cursor2 = self.sqlite_cursor.connection.cursor()
        for row in result:
            pos = self.translate_pos(row['pos'])
            slownik = row['slownik']
            if slownik != 'zmiotki':
                status = Lexeme.STATUS_CONFIRMED
            else:
                status = Lexeme.STATUS_CANDIDATE
            if row['typnazwy']:
                comms = row['typnazwy'].split(' a. ')
            else:
                comms = [row['pospolitosc']]
            cvs = [
                cv_table.get(COMMONNESS_TRANSLATION.get(comm, comm))
                for comm in comms if comm]
            lexemes.append(Lexeme(
                id=row['nr'],
                entry=row['haslo'],
                source_id=row['srcid'],
                entry_suffix=row['haslosuf'] or '', # pozostałość historyczna
                gloss=row['glosa'] or '',
                note=row['nota'] or '',
                pronunciation=row['wymowa'] or '',
                valence=row['łączliwość'] or '',
                part_of_speech_id=pos,
                source=row['źródło'] or '',
                status=status,
                comment=row['komentarz'] or '',
                last_modified=date,
                owner_vocabulary_id=slownik,
                qualifiers_dor=row['dorkwal'] or '',
                # tymczasowe:
                qualifiers_style=row['kwalstyl'] or '',
                qualifiers_scope=row['kwalzakr'] or '',
            ))
            lexeme_associations.append(LexemeAssociation(
                lexeme_id=row['nr'], vocabulary_id=slownik))
            for cv in cvs:
                lexeme_cvs.append(
                    LexemeCV(lexeme_id=row['nr'], classification_value=cv))
            for kwal in (row['kwalstyl'], row['kwalzakr']):
                if kwal:
                    for qual in kwal.split(', '):
                        lexeme_qualifiers.append((row['nr'], self.qual[qual]))
            for attr_name, attr_data in ATTRS.iteritems():
                (poses, gender), values, (column, f), card = attr_data
                if pos in poses:
                    if column == 'charfl':
                        cursor2.execute('''
                            select charfl from odmieniasie where nr = ?
                        ''', (row['nr'],))
                        if card == 'multi':
                            data = [r[0] for r in cursor2]
                        else:
                            data = [cursor2.fetchone()[0]]
                    else:
                        data = [row[column]]
                    for data_item in data:
                        attr_value = attr_values[attr_name].get(f(data_item))
                        if attr_value:
                            lexeme_attrs.append(LexemeAV(
                                lexeme_id=row['nr'],
                                attribute_value=attr_value))
                        elif data_item:
                            print 'unknown value of %s: %s' % (
                                attr_name, row[column])
            for attr_name, attr_data in TEXT_ATTRS.iteritems():
                poses, column = attr_data
                if pos in poses:
                    data = row[column] or ''
                    attr = text_attrs[attr_name]
                    attr_val = attr_values[attr_name].get(data)
                    if not attr_val:
                        attr_val = LexemeAttributeValue.objects.create(
                            attribute=attr, value=data)
                        attr_values[attr_name][data] = attr_val
                    lexeme_attrs.append(LexemeAV(
                        lexeme_id=row['nr'], attribute_value=attr_val))
        return (
            lexemes, lexeme_associations, lexeme_cvs, lexeme_qualifiers,
            lexeme_attrs)

    def new_lexeme_associations(self):
        self.cache_vocabs()
        if MINI_MODE:
            result = self.sqlite_cursor.execute(
                'SELECT * FROM slowniki_uzywajace WHERE nr in (%s)'
                % (MINI_LEXEME_QUERY % 'nr'), [MINI_LEXEME_COUNT])
        else:
            result = self.sqlite_cursor.execute(
                'SELECT * FROM slowniki_uzywajace')
        for row in result:
            yield LexemeAssociation(
                vocabulary=self.vocabs[row['slownik_uz']], lexeme_id=row['nr'])

    CR_DESC = {
        ('verppas', 'appas'): u'quasi-imiesłów bierny',
        ('adjnie', 'appas'): u'„zanegowany” quasi-imiesłów bierny',
        ('adjnie', 'adv'): u'przysłówek „zanegowany”',
        ('adjnie', 'osc'): u'„zanegowana” nazwa cechy',
        ('nieadj', 'appas'): u'quasi-imiesłów bierny bez „nie-”',
        ('nieadj', 'adv'): u'przysłówek bez „nie-”',
        ('nieadj', 'osc'): u'nazwa cechy bez „nie-”',
    }

    def new_cross_reference_types(self):
        result = self.sqlite_cursor.execute(
            'select distinct l1.pos pos1, l2.pos pos2, t.* '
            'from odsylacze o join leksemy l1 on nrod=l1.nr '
            'join leksemy l2 on nrdo=l2.nr '
            'join typyodsylaczy t on t.typods=o.typods')
        for row in result:
            desc = self.CR_DESC.get((row['typods'], row['pos2']),
                row['naglowek'])
            yield CrossReferenceType(
                symbol=row['typods'],
                desc=desc,
                index=row['kolejnosc'],
                from_pos=PartOfSpeech.objects.get(symbol=row['pos1']),
                to_pos=PartOfSpeech.objects.get(symbol=row['pos2']),
            )

    def new_cross_references(self):
        if MINI_MODE:
            result = self.sqlite_cursor.execute(
                'SELECT o.*, l1.pos pos1, l2.pos pos2 FROM odsylacze o '
                'JOIN leksemy l1 on nrod=l1.nr '
                'JOIN leksemy l2 on nrdo=l2.nr '
                'WHERE nrod in (%(subq)s) and nrdo in (%(subq)s)'
                % {'subq': MINI_LEXEME_QUERY % 'nr'},
                [MINI_LEXEME_COUNT, MINI_LEXEME_COUNT])
        else:
            result = self.sqlite_cursor.execute(
                'SELECT o.*, l1.pos pos1, l2.pos pos2 FROM odsylacze o '
                'JOIN leksemy l1 on nrod=l1.nr '
                'JOIN leksemy l2 on nrdo=l2.nr'
            )
        cr_type_table = dict(
            ((crt.symbol, crt.from_pos.symbol, crt.to_pos.symbol), crt)
                for crt in CrossReferenceType.objects.all()
        )
        for row in result:
            # POMIJANIE niekompletne odsyłacze zdarzają się dla 'asp'
            if row['nrod'] and row['nrdo']:
                cr_type = cr_type_table[
                    (row['typods'], row['pos1'], row['pos2'])]
                yield CrossReference(
                    from_lexeme_id=row['nrod'], to_lexeme_id=row['nrdo'],
                    type=cr_type)

    def copy_aspects(self):
        aspect_vals = dict(LexemeAttributeValue.objects.filter(
            attribute__name='aspekt').values_list('value', 'pk'))
        if MINI_MODE:
            result = self.sqlite_cursor.execute(
                "select distinct nrdo, aspekt "
                "from odsylacze o "
                "join leksemy l on o.nrod = l.nr "
                "where typods in ('verger', 'verppas', 'verpact') "
                "and nrod in (%(subq)s) and nrdo in (%(subq)s)"
                % {'subq': MINI_LEXEME_QUERY % 'nr'},
                [MINI_LEXEME_COUNT, MINI_LEXEME_COUNT])
        else:
            result = self.sqlite_cursor.execute(
                "select distinct nrdo, aspekt "
                "from odsylacze o "
                "join leksemy l on o.nrod = l.nr "
                "where typods in ('verger', 'verppas', 'verpact')")
        for row in result:
            yield LexemeAV(
                lexeme_id=row['nrdo'],
                attribute_value_id=aspect_vals[row['aspekt']])

    def import_pattern_types(self):
        self.cache_lc_pos()
        result = self.sqlite_cursor.execute(
            'SELECT DISTINCT typr, pos FROM paradygmaty')
        for row in result:
            lc = self.lc_pos[self.translate_pos(row['pos'])]
            PatternType.objects.get_or_create(lexical_class=lc,
                symbol=row['typr'])
            # prowizorka z powodu pustej klasy 'skr'
        self.cache_lc()
        result = self.sqlite_cursor.execute(
            'SELECT DISTINCT typr, pos FROM wzory')
        for row in result:
            lc = self.lc[row['pos']]
            PatternType.objects.get_or_create(lexical_class=lc,
                symbol=row['typr'])

    def cache_ptypes(self):
        if 'ptypes' not in self.__dict__:
            self.ptypes = dict(
                ((pt.lexical_class.symbol, pt.symbol), pt)
                    for pt in PatternType.objects.all()
            )

    def new_patterns(self):
        self.cache_ptypes()
        for row in self.sqlite_cursor.execute('SELECT * FROM wzory'):
            yield Pattern(
                name=row['wzor'],
                type=self.ptypes[(row['pos'], row['typr'])],
                basic_form_ending=row['zakp'],
                example=row['przyklad'] or '',
                comment=row['wkomentarz'] or '',
                status='temp',
            )

    def cache_patterns(self):
        if 'paterns' not in self.__dict__:
            self.patterns = dict((p.name, p) for p in Pattern.objects.all())

    def new_endings(self):
        self.cache_qualifiers()
        self.cache_patterns()
        self.cache_bfl()
        endings = []
        ending_quals = []
        query = self.sqlite_cursor.execute('''
            SELECT z.*, w.pos FROM zakonczenia z
                JOIN wzory w ON z.wzor = wzory.wzor
        ''')
        for row in query:
            # POMIJANIE
            if row['zak'] is not None:
                endings.append(Ending(
                    pattern=self.patterns[row['wzor']],
                    base_form_label=self.bfls[(row['efobaz'], row['pos'])],
                    string=row['zak'],
                    index=row['nrskl'],
                ))
                if row['zkwal']:
                    for qual in row['zkwal'].split(', '):
                        ending_quals.append((
                            self.patterns[row['wzor']],
                            self.bfls[row['efobaz']],
                            row['nrskl'],
                            self.qual[qual]))
        return endings, ending_quals

    def new_lexeme_inflection_patterns(self):
        self.cache_genders()
        self.cache_qualifiers()
        self.cache_patterns()
        if MINI_MODE:
            result = self.sqlite_cursor.execute(
                'SELECT o.*, l.pos FROM odmieniasie o '
                'JOIN leksemy l ON o.nr = l.nr '
                'WHERE l.nr IN (%s)' % (MINI_LEXEME_QUERY % 'nr'),
                (MINI_LEXEME_COUNT,))
        else:
            result = self.sqlite_cursor.execute(
                'SELECT * FROM odmieniasie o JOIN leksemy l ON o.nr = l.nr')
        lips = []
        lip_quals = []
        for row in result:
            lexeme_id = row['nr']
            # POMIJANIE
            if row['wzor'] in self.patterns: # wzór D w zmiotkach
                lips.append(LexemeInflectionPattern(
                    lexeme_id=lexeme_id,
                    index=row['oskl'],
                    pattern=self.patterns[row['wzor']],
                    gender = self.genders.get(row['charfl']),
                    root=row['rdzen'],
                ))
            if row['okwal']:
                for qual in row['okwal'].split(', '):
                    lip_quals.append((lexeme_id, row['oskl'], self.qual[qual]))
        return lips, lip_quals

    def new_variants(self):
        result = self.sqlite_cursor.execute(
            'SELECT DISTINCT wariant FROM paradygmaty')
        for row in result:
            v_type = Variant.TYPE_TABLE if str(row['wariant']) in '01' else Variant.TYPE_EXPORT
            yield Variant(id=row['wariant'], type=v_type)

    def delete_and_import(self):
        models = (
            Variant,
            CrossReference,
            CrossReferenceType,
            LexemeAssociation,
            LexemeInflectionPattern,
            Lexeme,
            Ending,
            Pattern,
            PatternType,
            Qualifier,
            #Vocabulary,
            BaseFormLabel,
            #PartOfSpeech,
            #LexicalClass,
            LexemeAttribute,
            History,
        )
        print 'deleting old data...'
        for model in models:
            self.cursor.execute(
                'truncate table %s cascade' % model._meta.db_table)

        print 'importing lexical classes...'
        bulk_create(LexicalClass, self.new_lexical_classes())
        print 'importing parts of speech...'
        bulk_create(PartOfSpeech, self.new_parts_of_speech())
        print 'importing base form labels...'
        bulk_create(BaseFormLabel, self.new_base_form_labels())
        print 'importing genders...'
        bulk_create(Gender, self.new_genders())
        print 'importing vocabularies...'
        for v in self.new_vocabularies():
            v.save()
        print 'importing qualifiers...'
        bulk_create(Qualifier, self.new_qualifiers())
        print 'importing pattern types...'
        self.import_pattern_types()
        print 'importing patterns...'
        bulk_create(Pattern, self.new_patterns())
        print 'importing endings...'
        endings, ending_quals = self.new_endings()
        bulk_create(Ending, endings)
        for pattern, bfl, index, q in ending_quals:
            Ending.objects.get(
                pattern=pattern, base_form_label=bfl,
                index=index).qualifiers.add(q)

        def import_lexemes():
            print 'importing lexemes...'
            (lexemes, lexeme_assoc, lexeme_cvs, lexeme_quals,
            lexeme_attrs) = self.new_lexemes()
            print 'creating...'
            bulk_create(Lexeme, lexemes)
            print 'associations...'
            bulk_create(LexemeAssociation, lexeme_assoc)
            print 'classifications...'
            bulk_create(LexemeCV, lexeme_cvs)
            print 'qualifiers...'
            for lexeme_id, q in lexeme_quals:
                q.lexeme_set.add(lexeme_id)  # add
            print 'attributes...'
            bulk_create(LexemeAV, lexeme_attrs)

        import_lexemes()

        def import_lips():
            print 'importing lexeme inflection patterns...'
            lips, lip_quals = self.new_lexeme_inflection_patterns()
            print 'creating...'
            bulk_create(LexemeInflectionPattern, lips)
            print 'qualifiers...'
            for lexeme_id, index, q in lip_quals:
                LexemeInflectionPattern.objects.get(
                    lexeme_id=lexeme_id, index=index).qualifiers.add(q)

        import_lips()
        print 'importing lexeme associations...'
        bulk_create(LexemeAssociation, self.new_lexeme_associations())
        print 'importing cross-reference types...'
        bulk_create(CrossReferenceType,
            self.new_cross_reference_types())
        print 'importing cross-references...'
        bulk_create(CrossReference, self.new_cross_references())
        print 'copying aspect values to derived lexemes...'
        bulk_create(LexemeAV, self.copy_aspects())
        print 'importing variants...'
        bulk_create(Variant, self.new_variants())
        print 'committing to database...'
        self.close()
        print 'now you may want to import templates, create forms, cache qualifiers'

    def single_import(self, model):
        method_name = METHOD_NAMES[model]
        if method_name.startswith('new'):
            bulk_create(model, self.__getattribute__(method_name)())
        elif method_name.startswith('import'):
            self.__getattribute__(method_name)()
        self.close()