#-*- coding:utf-8 -*- from django.core.management.base import NoArgsCommand from dictionary.models import * DEFAULT_OLD_DICT_PATH = 'data/s_czas_sdpv' class Command(NoArgsCommand): help = 'Import models dependencies to tool.' def handle_noargs(self, **options): print u'Importing models to database. Please wait.' import_models() def import_models(): import_frame_char_models() #import_argument_models() # Tutaj, stare import_new_argument_models() # Tutaj, nowe import_position_cats() import_lemma_statuses() import_frame_opinions() import_nkjp_sources_dict() import_nkjp_opinion_dict() import_old_frame_properties() import_vocabulary_formats() create_tool_configuration() def create_tool_configuration(): Configuration(name=u'globalna', example_approvers_num=2, selected_conf=True).save() def import_old_frame_properties(): Old_Frame_Property(name=u'V', value=u'verb', priority=10).save() Old_Frame_Property(name=u'Q', value=u'quasi-verb', priority=20).save() def import_vocabulary_formats(): VocabularyFormat(format=u'Tekstowy', priority=10).save() VocabularyFormat(format=u'PDF', priority=20).save() def import_lemma_statuses(): Lemma_Status.objects.all().delete() Lemma_Status(status=u'do obróbki', validate=False, check_examples=False, priority=10).save() Lemma_Status(status=u'w obróbce', validate=False, check_examples=False, priority=20).save() Lemma_Status(status=u'gotowe', validate=True, check_examples=False, priority=30).save() Lemma_Status(status=u'sprawdzone', validate=True, check_examples=True, priority=40).save() def import_frame_opinions(): Frame_Opinion_Value.objects.all().delete() # Frame_Opinion_Value(value=u' ', priority=0).save() Frame_Opinion_Value(value=u'pewna', priority=10, short=u'cer').save() Frame_Opinion_Value(value=u'wątpliwa', priority=20, short=u'unc').save() Frame_Opinion_Value(value=u'zła', priority=30, short=u'bad').save() Frame_Opinion_Value(value=u'archaiczna', priority=40, short=u'dat').save() Frame_Opinion_Value(value=u'potoczna', priority=50, short=u'col').save() def import_nkjp_sources_dict(): NKJP_Source.objects.all().delete() NKJP_Source(source=u'podkorpus zrównoważony NKJP (300M segmentów)', priority=10, comment_required=False, confirmation_required=False).save() NKJP_Source(source=u'pełny NKJP (1800M segmentów)', priority=20, comment_required=False, confirmation_required=False).save() NKJP_Source(source=u'demo NKJP (wersja 2; 500M segmentów)', priority=30, comment_required=False, confirmation_required=False).save() NKJP_Source(source=u'korpus ręcznie anotowany (1.2M segmentów)', priority=40, comment_required=False, confirmation_required=False).save() NKJP_Source(source=u'pełny Korpus IPI PAN (2. wydanie; 250M segmentów)', priority=50, comment_required=False, confirmation_required=False).save() NKJP_Source(source=u'próbka Korpusu IPI PAN (2. wydanie; 30M segmentów)', priority=60, comment_required=False, confirmation_required=False).save() NKJP_Source(source=u'Korpus Słownika Frekwencyjnego (0,5M segmentów)', priority=70, comment_required=False, confirmation_required=False).save() NKJP_Source(source=u'literatura lingwistyczna', priority=80, comment_required=True, confirmation_required=False).save() NKJP_Source(source=u'literatura inna', priority=90, comment_required=True, confirmation_required=False).save() NKJP_Source(source=u'własny', priority=100, comment_required=False, confirmation_required=True).save() def import_nkjp_opinion_dict(): NKJP_Opinion.objects.all().delete() # NKJP_Opinion(opinion=u' ', priority=0).save() NKJP_Opinion(opinion=u'dobry', priority=10).save() NKJP_Opinion(opinion=u'wątpliwy', priority=20).save() NKJP_Opinion(opinion=u'zły', priority=30).save() def import_frame_char_models(): # usuwanie informacji o charakterystykach ramek z bazy danych Frame_Char_Model.objects.all().delete() Frame_Char_Value.objects.all().delete() # dokonanosc aspect = Frame_Char_Model(model_name=u'ASPEKT', priority=10) aspect.save() atr_val = Frame_Char_Value(value=u'imperf', priority=10) # niedokonany atr_val.save() aspect.frame_char_values.add(atr_val) atr_val = Frame_Char_Value(value=u'perf', priority=20) # dokonany atr_val.save() aspect.frame_char_values.add(atr_val) atr_val = Frame_Char_Value(value=u'_', priority=30) # dokonany lub niedokonany atr_val.save() aspect.frame_char_values.add(atr_val) # zwrotnosc reflex = Frame_Char_Model(model_name=u'ZWROTNOŚĆ', priority=20) reflex.save() atr_val = Frame_Char_Value(value=u'', priority=10) # bez "się" atr_val.save() reflex.frame_char_values.add(atr_val) atr_val = Frame_Char_Value(value=u'się', priority=20) # z "się" atr_val.save() reflex.frame_char_values.add(atr_val) atr_val = Frame_Char_Value(value=u'_', priority=30) # z "się" i bez "się" atr_val.save() reflex.frame_char_values.add(atr_val) def import_position_cats(): # czyszczenie zawartosci tabeli definiujacej kategorie pozycji PositionCategory.objects.all().delete() # wypelnianie madrosci o kategoriach pozycji PositionCategory(category='subj', priority=10, control=False).save() PositionCategory(category='obj', priority=20, control=False).save() PositionCategory(category='controller', priority=30, control=True).save() PositionCategory(category='controlee', priority=40, control=True).save() #PositionCategory(category='pred', priority=30).save() ################################################################################# # wypelnianie tabel definiujacych modele argumentow pozycji def import_new_argument_models(): # czyszczenie zawartosci tabel definiujacych wzory atrybutow i mozliwe # do przyjecia wartosci atrybutow Argument_Model.objects.all().delete() Atribute_Model.objects.all().delete() Atribute_Value.objects.all().delete() # 'PRZYIMEK' preposition = Atribute_Model(atr_model_name=u'PRZYIMEK', sym_name=u'preposition', text_atribute=False, priority=10) preposition.save() # 'PRZYIMEK1' o nizszym priorytecie dla comprepnp preposition1 = Atribute_Model(atr_model_name=u'PRZYIMEK1', sym_name=u'preposition', text_atribute=False, priority=120) preposition1.save() # przyimek 'co do' atr_val = Atribute_Value(value=u'co do', priority=1000, realization_only=False) atr_val.save() preposition.atribute_values.add(atr_val) preposition1.atribute_values.add(atr_val) # PRZYPADEK, PRZYPADEK 1 o nizszym priorytecie dla comprepnp case = Atribute_Model(atr_model_name=u'PRZYPADEK', sym_name=u'case', text_atribute = False, priority=20) case.save() case1 = Atribute_Model(atr_model_name=u'PRZYPADEK1', sym_name=u'case', text_atribute = False, priority=130) case1.save() atr_val = Atribute_Value(value=u'str', priority=10, realization_only=False) # przypadek strukturalny atr_val.save() case.atribute_values.add(atr_val) case1.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'pred', priority=20, realization_only=False) # przypadek predykatywny atr_val.save() case.atribute_values.add(atr_val) case1.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'part', priority=30, realization_only=False) # przypadek partytywny/czastkowy atr_val.save() case.atribute_values.add(atr_val) case1.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'nom', priority=40, realization_only=False) # mianownik atr_val.save() case.atribute_values.add(atr_val) case1.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'dat', priority=50, realization_only=False) # celownik atr_val.save() case.atribute_values.add(atr_val) case1.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'acc', priority=60, realization_only=False) # biernik atr_val.save() case.atribute_values.add(atr_val) case1.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'gen', priority=70, realization_only=False) # dopełniacz atr_val.save() case.atribute_values.add(atr_val) case1.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'inst', priority=80, realization_only=False) # narzednik atr_val.save() case.atribute_values.add(atr_val) case1.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'loc', priority=90, realization_only=False) # miejscownik atr_val.save() case.atribute_values.add(atr_val) case1.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'postp', priority=100, realization_only=False) # przypadek poprzyimkowy atr_val.save() case.atribute_values.add(atr_val) case1.atribute_values.add(atr_val) # TYP FRAZY phrase_type = Atribute_Model(atr_model_name=u'TYP FRAZY', sym_name=u'type', text_atribute = False, priority=30) phrase_type.save() # definiowanie wartosci atrybutow dla typow frazy atr_val = Atribute_Value(value=u'że', priority=110, realization_only=False) # fraza zdaniowa ze spójnikiem ˙ze, iz atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'żeby', priority=120, realization_only=False) # fraza zdaniowa ze spójnikiem ˙zeby, aby, by atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'żeby2', priority=130, realization_only=False) # fraza zdaniowa oznajmujaca, w ograniczonym atr_val.save() # kontekscie dopuszczajaca rowniez spojnik typu zeby phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'int', priority=140, realization_only=False) # fraza zdaniowa ze spójnikiem czy atr_val.save() # bylo intrel phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'czy', priority=150, realization_only=False) # fraza pytajno-zalezna, z elementem takim jak kto, co, itd. atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u"jeśli", priority=160, realization_only=False) # fraza zdaniowa ze spójnikiem az atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'gdy', priority=170, realization_only=False) # fraza zdaniowa ze spójnikiem jesli atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'kiedy', priority=180, realization_only=False) # fraza zdaniowa ze spójnikiem jesli atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'aż', priority=190, realization_only=False) # fraza zdaniowa ze spójnikiem jesli atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'jakoby', priority=200, realization_only=False) # fraza zdaniowa ze spójnikiem jesli atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'jakby', priority=210, realization_only=False) # fraza zdaniowa ze spójnikiem jesli atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'jak', priority=220, realization_only=False) # fraza zdaniowa ze spójnikiem jesli atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'gdzie', priority=220, realization_only=True) atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'skąd', priority=220, realization_only=True) atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'dokąd', priority=220, realization_only=True) atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'którędy', priority=220, realization_only=True) atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'zanim', priority=220, realization_only=True) atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'aż2', priority=220, realization_only=True) atr_val.save() phrase_type.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'dopóki', priority=220, realization_only=True) atr_val.save() phrase_type.atribute_values.add(atr_val) # LICZBA number = Atribute_Model(atr_model_name=u'LICZBA', sym_name=u'number', text_atribute = False, priority=40) number.save() atr_val = Atribute_Value(value=u'sg', priority=230, realization_only=False) # liczba pojedyncza atr_val.save() number.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'pl', priority=240, realization_only=False) # liczba mnoga atr_val.save() number.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'_', priority=250, realization_only=False) # dowolna atr_val.save() number.atribute_values.add(atr_val) # 'LEMAT' lemma = Atribute_Model(atr_model_name=u""'LEMAT'"", sym_name=u'lemma', text_atribute=True, priority=50) lemma.save() # MODYFIKACJA modification = Atribute_Model(atr_model_name=u'MODYFIKACJA', sym_name=u'modification', text_atribute = False, priority=60) modification.save() atr_val = Atribute_Value(value=u'natr', priority=260, realization_only=False) # brak mozliwosci modyfikacji (no attribute) atr_val.save() modification.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'atr', priority=270, realization_only=False) # mozliwa modyfikacja atr_val.save() modification.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'ratr', priority=280, realization_only=False) # wymagany atrybut (dierzawczy) (required attribute) atr_val.save() modification.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'batr', priority=290, realization_only=False) # wymagany atrybut swój lub własny (bound attribute) atr_val.save() modification.atribute_values.add(atr_val) # ASPEKT aspect = Atribute_Model(atr_model_name=u'ASPEKT', sym_name=u'aspect', text_atribute = False, priority=70) aspect.save() atr_val = Atribute_Value(value=u'dk', priority=300, realization_only=False) # dokonany atr_val.save() aspect.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'ndk', priority=310, realization_only=False) # niedokonany atr_val.save() aspect.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'_', priority=320, realization_only=False) # dowolny atr_val.save() aspect.atribute_values.add(atr_val) # KATEGORIA category = Atribute_Model(atr_model_name=u'KATEGORIA', sym_name=u'category', text_atribute = False, priority=80) category.save() atr_val = Atribute_Value(value=u'_', priority=330, realization_only=False) # dowolny atr_val.save() category.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'locat', priority=340, realization_only=False) # miejsce atr_val.save() category.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'abl', priority=350, realization_only=False) # punkt poczatkowy atr_val.save() category.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'adl', priority=360, realization_only=False) # punkt koncowy atr_val.save() category.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'perl', priority=370, realization_only=False) # trasa atr_val.save() category.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'temp', priority=380, realization_only=False) # czas atr_val.save() category.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'dur', priority=390, realization_only=False) # dlugosc trwania atr_val.save() category.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'mod', priority=400, realization_only=False) # sposob atr_val.save() category.atribute_values.add(atr_val) #atr_val = Atribute_Value(value=u'caus', priority=410) # przyczyna #atr_val.save() #category.atribute_values.add(atr_val) #atr_val = Atribute_Value(value=u'dest', priority=420) # cel #atr_val.save() #category.atribute_values.add(atr_val) # KATEGORIA advp category_advp = Atribute_Model(atr_model_name=u'KATEGORIA_ADVP', sym_name=u'category', text_atribute = False, priority=90) category_advp.save() atr_val = Atribute_Value(value=u'pron', priority=410, realization_only=False) # dowolny atr_val.save() category_advp.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'misc', priority=420, realization_only=False) # miejsce bylo deg atr_val.save() category_advp.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'locat', priority=430, realization_only=True) # miejsce atr_val.save() category_advp.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'abl', priority=440, realization_only=True) # punkt poczatkowy atr_val.save() category_advp.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'adl', priority=450, realization_only=True) # punkt koncowy atr_val.save() category_advp.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'perl', priority=460, realization_only=True) # trasa atr_val.save() category_advp.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'temp', priority=470, realization_only=True) # czas atr_val.save() category_advp.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'dur', priority=480, realization_only=True) # dlugosc trwania atr_val.save() category_advp.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'mod', priority=490, realization_only=True) # sposob atr_val.save() category_advp.atribute_values.add(atr_val) # atr_val = Atribute_Value(value=u'_', priority=430) # dowolny # atr_val.save() # category_advp.atribute_values.add(atr_val) # atr_val = Atribute_Value(value=u'locat', priority=440) # miejsce # atr_val.save() # category_advp.atribute_values.add(atr_val) # atr_val = Atribute_Value(value=u'ablocat', priority=450) # punkt poczatkowy # atr_val.save() # category_advp.atribute_values.add(atr_val) # atr_val = Atribute_Value(value=u'adlocat', priority=460) # punkt koncowy # atr_val.save() # category_advp.atribute_values.add(atr_val) # atr_val = Atribute_Value(value=u'perl', priority=470) # trasa # atr_val.save() # category_advp.atribute_values.add(atr_val) # atr_val = Atribute_Value(value=u'temp', priority=480) # czas # atr_val.save() # category_advp.atribute_values.add(atr_val) # atr_val = Atribute_Value(value=u'dur', priority=490) # dlugosc trwania # atr_val.save() # category_advp.atribute_values.add(atr_val) # atr_val = Atribute_Value(value=u'mod', priority=500) # sposob # atr_val.save() # category_advp.atribute_values.add(atr_val) # atr_val = Atribute_Value(value=u'caus', priority=510) # przyczyna # atr_val.save() # category_advp.atribute_values.add(atr_val) # atr_val = Atribute_Value(value=u'dest', priority=520) # cel # atr_val.save() # category_advp.atribute_values.add(atr_val) # atr_val = Atribute_Value(value=u'tak', priority=530) # tak # atr_val.save() # category_advp.atribute_values.add(atr_val) # 'TRESC' content = Atribute_Model(atr_model_name=u"\'TREŚĆ\'", sym_name=u'string', text_atribute=True, priority=100) content.save() # SHORT short = Atribute_Model(atr_model_name=u"SKRÓT", sym_name=u'complex_preposit', text_atribute=False, priority=110) short.save() atr_val = Atribute_Value(value=u'z powodu', priority=500, realization_only=False) # dowolny atr_val.save() short.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'w sprawie', priority=510, realization_only=False) # dowolny atr_val.save() short.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'co do', priority=520, realization_only=False) # dowolny atr_val.save() short.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'na temat', priority=530, realization_only=False) # dowolny atr_val.save() short.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'w kwestii', priority=540, realization_only=False) # dowolny atr_val.save() short.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'w roli', priority=550, realization_only=False) # dowolny atr_val.save() short.atribute_values.add(atr_val) atr_val = Atribute_Value(value=u'na rzecz', priority=560, realization_only=False) # dowolny atr_val.save() short.atribute_values.add(atr_val) ######################## Wzory argumentow ################################## # np(PRZYPADEK) arg_model = Argument_Model(arg_model_name=u'np', priority=10, realization_only=False, has_realizations=False) arg_model.save() arg_model.atribute_models.add(case) # adjp(PRZYPADEK) arg_model = Argument_Model(arg_model_name=u'adjp', priority=20, realization_only=False, has_realizations=False) arg_model.save() arg_model.atribute_models.add(case) # prepnp('PRZYIMEK',PRZYPADEK) arg_model = Argument_Model(arg_model_name=u'prepnp', priority=30, realization_only=False, has_realizations=False) arg_model.save() arg_model.atribute_models.add(preposition, case) # prepadjp('PRZYIMEK',PRZYPADEK) arg_model = Argument_Model(arg_model_name=u'prepadjp', priority=40, realization_only=False, has_realizations=False) arg_model.save() arg_model.atribute_models.add(preposition, case) # compprepnp('SHORT') arg_model = Argument_Model(arg_model_name=u'comprepnp', priority=50, realization_only=False, has_realizations=True) arg_model.save() arg_model.atribute_models.add(short) # cp(TYP FRAZY) arg_model = Argument_Model(arg_model_name=u'cp', priority=60, realization_only=False, has_realizations=False) arg_model.save() arg_model.atribute_models.add(phrase_type) # ncp(PRZYPADEK,TYP FRAZY) arg_model = Argument_Model(arg_model_name=u'ncp', priority=70, realization_only=False, has_realizations=False) arg_model.save() arg_model.atribute_models.add(case, phrase_type) # prepncp('PRZYIMEK',PRZYPADEK,TYP FRAZY) arg_model = Argument_Model(arg_model_name=u'prepncp', priority=80, realization_only=False, has_realizations=False) arg_model.save() arg_model.atribute_models.add(preposition, case, phrase_type) # nonch arg_model = Argument_Model(arg_model_name=u'nonch', priority=90, realization_only=False, has_realizations=False) arg_model.save() # infp(ASPEKT) arg_model = Argument_Model(arg_model_name=u'infp', priority=100, realization_only=False, has_realizations=False) arg_model.save() arg_model.atribute_models.add(aspect) # xp(KATEGORIA) arg_model = Argument_Model(arg_model_name=u'xp', priority=110, realization_only=False, has_realizations=True) arg_model.save() arg_model.atribute_models.add(category) # advp arg_model = Argument_Model(arg_model_name=u'advp', priority=120, realization_only=False, has_realizations=False) arg_model.save() arg_model.atribute_models.add(category_advp) # lexnp(PRZYPADEK,'LEMAT',LICZBA,MODYFIKACJA) arg_model = Argument_Model(arg_model_name=u'lexnp', priority=130, realization_only=False, has_realizations=False) arg_model.save() arg_model.atribute_models.add(case, number, lemma, modification) # preplexnp('PRZYIMEK',PRZYPADEK,LICZBA,'LEMAT',MODYFIKACJA) arg_model = Argument_Model(arg_model_name=u'preplexnp', priority=140, realization_only=False, has_realizations=False) arg_model.save() arg_model.atribute_models.add(preposition, case, number, lemma, modification) # lp(KATEGORIA) arg_model = Argument_Model(arg_model_name=u'lp', priority=150, realization_only=False, has_realizations=True) arg_model.save() arg_model.atribute_models.add(category) # fixed('TREŚĆ') arg_model = Argument_Model(arg_model_name=u'fixed', priority=160, realization_only=False, has_realizations=False) arg_model.save() arg_model.atribute_models.add(content) # or arg_model = Argument_Model(arg_model_name=u'or', priority=170, realization_only=False, has_realizations=False) arg_model.save() # refl arg_model = Argument_Model(arg_model_name=u'refl', priority=180, realization_only=False, has_realizations=False) arg_model.save() # comprepnp1(’PRZYIMEK’,PRZYPADEK,LICZBA,’LEMAT’) arg_model = Argument_Model(arg_model_name=u'comprepnp1', priority=190, realization_only=True, has_realizations=False) arg_model.save() arg_model.atribute_models.add(preposition, case, number, lemma) # comprepnp2(’PRZYIMEK’,PRZYPADEK,LICZBA,’LEMAT’,PRZYPADEK) arg_model = Argument_Model(arg_model_name=u'comprepnp2', priority=200, realization_only=True, has_realizations=False) arg_model.save() arg_model.atribute_models.add(preposition, case, number, lemma, case1) # comprepnp3(’PRZYIMEK’,PRZYPADEK,LICZBA,’LEMAT’,’PRZYIMEK’,PRZYPADEK) arg_model = Argument_Model(arg_model_name=u'comprepnp3', priority=210, realization_only=True, has_realizations=False) arg_model.save() arg_model.atribute_models.add(preposition, case, number, lemma, preposition1, case1) # E - epsilon, argument pusty arg_model = Argument_Model(arg_model_name=u'E', priority=220, realization_only=False, has_realizations=False) arg_model.save()