Phrase.py 48.6 KB
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#! /usr/bin/python
# -*- coding: utf-8 -*-

from importer.PhraseAttributes import get_attributes, get_lex_attributes, empty_attributes
from syntax.models_phrase import PhraseTypeModel, PhraseType, LemmaOperator, LemmaCooccur, Lemma, Modification as DBModification, ModificationType


class Case:

    values = ['nom', 'gen', 'dat', 'acc', 'inst', 'loc', 'voc', 'str', 'part', 'agr', 'pred', 'postp']

    def __init__(self, value):
        if value not in Case.values:
            print(value)
            raise UnknownError()
        self._value = value

    def __str__(self):
        return self._value


class Preposition:

    def __init__(self, value, case):
        if ' ' in value:
            self._value = '\'' + value + '\''
        else:
            self._value = value
        self._case = case

    def __str__(self):
        return self._value + ',' + str(self._case)


class ComplexPreposition:

    def __init__(self, value):
        self._value = value

    def __str__(self):
        return '\'' + self._value + '\''


class ClauseType:

    values = ['int', 'rel', u'aż', 'bo', 'czy', u'dopóki', 'gdy', 'jak', 'jakby', 'jakoby', u'jeśli', 'kiedy', 'zanim', u'że', u'żeby', u'żeby2']

    def __init__(self, value, realisations):
        if value not in ClauseType.values:
            print(value)
            raise UnknownError()
        self._value = value
        self._realisations = realisations

    @classmethod
    def fromTree(cls, tree):
        realisations = None
        value = tree._children[0]._children[0]._children[0]._attrs['value']
        assert (tree._children[0]._children[0]._attrs['name'] == 'conjunction')
        if len(tree._children[0]._children) > 1:
            realisations = []
            for node in tree._children[0]._children[1]._children[0]._children:
                assert (node._name == 'symbol')
                realisations.append(node._attrs['value'])
        return cls(value, realisations)

    def __str__(self):
        if self._realisations is not None:
            return self._value + '[' + ';'.join(self._realisations) + ']'
        else:
            return self._value


class Aspect:

    values = ['_', 'imperf', 'perf']

    def __init__(self, value):
        if value not in Aspect.values:
            print(value)
            raise UnknownError()
        self._value = value

    def __str__(self):
        return self._value


class AdverbialCategory:

    values = ['abl', 'adl', 'caus', 'dest', 'dur', 'instr', 'locat', 'misc', 'mod', 'perl', 'pron', 'temp']

    def __init__(self, value, limitations, limitation_tree):
        if value not in AdverbialCategory.values:
            print(value)
            raise UnknownError()
        self._value = value
        self._limitations = limitations
        self._limitation_tree = limitation_tree

    @classmethod
    def fromTree(cls, tree):
        limitations = None
        limitation_tree = None
        if tree._children[0]._attrs['name'] == 'expansions':
            if tree._children[1]._children[0]._name == 'symbol':
                value = tree._children[1]._children[0]._attrs['value']
            else:
                value = tree._children[1]._children[0]._children[0]._children[0]._attrs['value']
        elif tree._children[0]._children[0]._name == 'symbol':
            value = tree._children[0]._children[0]._attrs['value']
        else:
            value = tree._children[0]._children[0]._children[0]._children[0]._attrs['value']
            if len(tree._children[0]._children[0]._children) > 1:
                limitations = [phrase_from_tree(subtree) for subtree in tree._children[0]._children[0]._children[1]._children[0]._children]
                limitation_tree = tree._children[0]._children[0]._children[1]._children[0]._children[0]
        return cls(value, limitations, limitation_tree)

    def __str__(self):
        if self._limitations is not None:
            return self._value + '[' + ','.join([str(limitation) for limitation in self._limitations]) + ']'
        else:
            return self._value


class ComparCategory:

    def __init__(self, value):
        self._value = value

    def __str__(self):
        return self._value


class Words:

    def __init__(self, cooccur, selection, lemmas):
        self._cooccur = cooccur
        self._selection = selection
        self._lemmas = lemmas

    @classmethod
    def fromTree(cls, tree):
        cooccur = tree._children[0]._children[1]._children[0]._attrs['value']
        selection = tree._children[0]._children[0]._children[0]._attrs['value'].lower()
        lemmas = []
        for string in tree._children[0]._children[2]._children[0]._children:
            lemmas.append(string._content)
        return cls(cooccur, selection, lemmas)

    def __str__(self):
        if len(self._lemmas) < 2:
            return ','.join(self._lemmas)
        elif self._selection == 'xor':
            return 'XOR(' + ','.join(self._lemmas) + ')'
        elif self._cooccur == 'concat':
            return 'OR(' + ','.join(self._lemmas) + ')'
        else:
            return 'OR(' + ';'.join(self._lemmas) + ')'


class Modification:

    def __init__(self, atr, dependents):
        self._atr = atr
        self._dependents = dependents

    @classmethod
    def fromTree(cls, tree):
        atr = tree._children[0]._children[0]._children[0]._attrs['value']
        from importer.Position import Position
        if len(tree._children[0]._children) > 1:
            dependents = [Position.fromTree(subtree) for subtree in tree._children[0]._children[1]._children[0]._children]
        else:
            dependents = []
        return cls(atr, dependents)

    def __str__(self):
        if self._dependents:
            return self._atr + '(' + '+'.join((position._function._value if position._function else '') + '{' + ';'.join(map(str, position._phrases)) +'}' for position in self._dependents) + ')'
        else:
            return self._atr


class Phrase(object):
    
    def __init__(self, name, id, no_attributes=False):
        self._name = name
        self._no_attributes = no_attributes
        self._id = id
    
    def store(self, position, stored_positions):
        raise NotImplementedError
    
    def getId(self):
        return self._id

class NonLexPhrase(Phrase):

    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)

    def store(self, position, stored_positions):
        #phrase = get_phrase_db_object(self, self._name, no_attributes=self._no_attributes)
        
        main_type, _ = PhraseTypeModel.objects.get_or_create(name=self._name,
                                                             phraseologic=False,
                                                             defaults={'priority': 0})
        attributes = empty_attributes() if self._no_attributes else get_attributes(self, stored_positions)
        phrase, _ = PhraseType.objects.get_or_create(main_type=main_type,
                                                     attributes=attributes,
                                                     lexicalized_phrase=None,
                                                     text_rep=str(self))
        
        # position is None for nested lex phrases
        if position is not None:
            position.phrase_types.add(phrase)
        return phrase

stored_modifications = dict()

class LexPhrase(Phrase):

    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)

    def _lex_phrase(self):
        raise NotImplementedError

    def store(self, position, stored_positions):
        #phrase = get_lex_phrase_db_object(self, self._lex_phrase(), self._name, stored_positions, no_attributes=self._no_attributes, no_lex_attributes=self._no_lex_attributes)
        #def get_lex_phrase_db_object(phrase, lex_phrase, name, stored_positions, no_attributes=False, no_lex_attributes=False):
        
        lex = self._lex_phrase().store(None, None)
        
        main_type, _ = PhraseTypeModel.objects.get_or_create(name='lex',
                                                            phraseologic=True,
                                                            defaults={'priority': 0})

        if self._name not in ('compar', 'xp'):
            assert(len(self._words._lemmas) > 0)
            lemma_operator = LemmaOperator.objects.get(name=self._words._selection)
            lemma_cooccur = LemmaCooccur.objects.get(name=self._words._cooccur)
            lemmata = [Lemma.objects.get_or_create(name=lemma)[0] for lemma in self._words._lemmas]
            mod_key = str(self._modification)
            #print('\n*****************************', mod_key)
            if mod_key in stored_modifications:
                modification = stored_modifications[mod_key]
                #print('*************** already stored:', modification)
            else:
                mod_type = ModificationType.objects.get(name=self._modification._atr)
                modification = DBModification.objects.create(mod_type=mod_type)
                # TODO? this is hacky: done like in Schema, taking advantage of the fact
                # that both Schema and Modifications have a m2m field ‘positions’
                # TODO ask TB what exactly the 3rd argument to Position.store does
                mod_positions = set()
                for mod_position in self._modification._dependents:
                    mod_position.store(modification, stored_positions, mod_positions, None)
                stored_modifications[mod_key] = modification
                #print('*************** now stored:', modification)
        else:
            lemma_operator, lemma_cooccur, lemmata, modification = None, None, None, None

        attributes = empty_attributes() if self._no_attributes else get_lex_attributes(self, stored_positions)
        phrase, _ = PhraseType.objects.get_or_create(main_type=main_type,
                                                     attributes=attributes,
                                                     lexicalized_phrase=lex,
                                                     lemma_operator=lemma_operator,
                                                     lemma_cooccur=lemma_cooccur,
                                                     modification=modification,
                                                     text_rep=str(self))
        if lemmata:
            phrase.lemmata.set(lemmata)
        
        if position is not None:
            position.phrase_types.add(phrase)
            # @TODO: powinno być tylko dla obecnej,
            #        choć lexy się w zasadzie nie powtarzają, więc to mały narzut
            for schema in position.schemata.all():
                schema.phraseologic=True
                schema.save()
        return phrase

class NP(NonLexPhrase):

    def __init__(self, case, id):
        super().__init__('np', id)
        self._case = case

    @classmethod
    def fromTree(cls, tree, id):
        case = Case(tree._children[0]._children[0]._attrs['value'])
        return cls(case, id)

    def __str__(self):
        return 'np(' + str(self._case) + ')'

class LexNP(LexPhrase):

    def __init__(self, np, number, words, modification, id):
        super().__init__('np', id)
        self._np = np
        self._number = number
        self._words = words
        self._modification = modification

    @classmethod
    def fromTree(cls, tree, id):
        np = phrase_from_tree(tree._children[0]._children[0])
        number = tree._children[1]._children[0]._attrs['value']
        words = Words.fromTree(tree._children[2])
        modifications = Modification.fromTree(tree._children[3])
        return cls(np, number, words, modifications, id)
    
    def _lex_phrase(self):
        return self._np

    def __str__(self):
        return 'lex(' + str(self._np) + ',' + self._number + ',' + str(self._words) + ',' + str(self._modification)  + ')'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + self._number + ',' + str(self._words) + ',' + str(self._modification)  + ')'


class PrepNP(NonLexPhrase):

    def __init__(self, prep, id):
        super().__init__('prepnp', id)
        self._prep = prep

    @classmethod
    def fromTree(cls, tree, id):
        case = Case(tree._children[1]._children[0]._attrs['value'])
        prep = Preposition(tree._children[0]._children[0]._attrs['value'], case)
        return cls(prep, id)

    def __str__(self):
        return 'prepnp(' + str(self._prep) + ')'

class LexPrepNP(LexPhrase):

    def __init__(self, prepnp, number, words, modification, id):
        super().__init__('prepnp', id)
        self._prepnp = prepnp
        self._number = number
        self._words = words
        self._modification = modification

    @classmethod
    def fromTree(cls, tree, id):
        prepnp = phrase_from_tree(tree._children[0]._children[0])
        number = tree._children[1]._children[0]._attrs['value']
        words = Words.fromTree(tree._children[2])
        modifications = Modification.fromTree(tree._children[3])
        return cls(prepnp, number, words, modifications, id)

    def _lex_phrase(self):
        return self._prepnp

    def __str__(self):
        return 'lex(' + str(self._prepnp) + ',' + self._number + ',' + str(self._words) + ',' + str(self._modification)  + ')'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + self._number + ',' + str(self._words) + ',' + str(self._modification)  + ')'


class PrepNumP(NonLexPhrase):

    def __init__(self, prep, id):
        super().__init__('prepnump', id)
        self._prep = prep

    @classmethod
    def fromTree(cls, tree, id):
        case = Case(tree._children[1]._children[0]._attrs['value'])
        prep = Preposition(tree._children[0]._children[0]._attrs['value'], case)
        return cls(prep, id)

    def __str__(self):
        return 'prepnump(' + str(self._prep) + ')'

class LexPrepNumP(LexPhrase):

    def __init__(self, prepnump, nums, words, modification, id):
        super().__init__('prepnump', id, no_attributes=True)
        self._prepnump = prepnump
        self._nums = nums
        self._words = words
        self._modification = modification

    @classmethod
    def fromTree(cls, tree, id):
        prepnp = phrase_from_tree(tree._children[0]._children[0])
        nums = Words.fromTree(tree._children[1])
        words = Words.fromTree(tree._children[2])
        modifications = Modification.fromTree(tree._children[3])
        return cls(prepnp, nums, words, modifications, id)
    
    def _lex_phrase(self):
        return self._prepnump

    def __str__(self):
        return 'lex(' + str(self._prepnump) + ',' + str(self._nums) + ',' + str(self._words) + ',' + str(self._modification)  + ')'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + str(self._nums) + ',' + str(self._words) + ',' + str(self._modification)  + ')'


class NumP(NonLexPhrase):

    def __init__(self, case, id):
        super().__init__('nump', id)
        self._case = case

    @classmethod
    def fromTree(cls, tree, id):
        case = Case(tree._children[0]._children[0]._attrs['value'])
        return cls(case, id)

    def __str__(self):
        return 'nump(' + str(self._case) + ')'

class LexNumP(LexPhrase):
    def __init__(self, nump, nums, words, modification, id):
        super().__init__('nump', id, no_attributes=True)
        self._nump = nump
        self._nums = nums
        self._words = words
        self._modification = modification

    @classmethod
    def fromTree(cls, tree, id):
        nump = phrase_from_tree(tree._children[0]._children[0])
        nums = Words.fromTree(tree._children[1])
        words = Words.fromTree(tree._children[2])
        modifications = Modification.fromTree(tree._children[3])
        return cls(nump, nums, words, modifications, id)

    def _lex_phrase(self):
        return self._nump

    def __str__(self):
        return 'lex(' + str(self._nump) + ',' + str(self._nums) + ',' + str(self._words) + ',' + str(self._modification)  + ')'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + str(self._nums) + ',' + str(self._words) + ',' + str(self._modification)  + ')'



class PrepAdjP(NonLexPhrase):

    def __init__(self, prep, id):
        super().__init__('prepadjp', id)
        self._prep = prep

    @classmethod
    def fromTree(cls, tree, id):
        case = Case(tree._children[1]._children[0]._attrs['value'])
        prep = Preposition(tree._children[0]._children[0]._attrs['value'], case)
        return cls(prep, id)

    def __str__(self):
        return 'prepadjp(' + str(self._prep) + ')'

class LexPrepAdjP(LexPhrase):

    def __init__(self, prepadjp, number, gender, degree, words, modification, id):
        super().__init__('prepadjp', id)
        self._prepadjp = prepadjp
        self._number = number
        self._gender = gender
        self._degree = degree
        self._words = words
        self._modification = modification

    @classmethod
    def fromTree(cls, tree, id):
        prepadjp = phrase_from_tree(tree._children[0]._children[0])
        number = tree._children[1]._children[0]._attrs['value']
        gender = tree._children[2]._children[0]._children[0]._attrs['value']
        degree = tree._children[3]._children[0]._attrs['value']
        words = Words.fromTree(tree._children[4])
        modifications = Modification.fromTree(tree._children[5])
        return cls(prepadjp, number, gender, degree, words, modifications, id)

    def _lex_phrase(self):
        return self._prepadjp

    def __str__(self):
        return 'lex(' + str(self._prepadjp) + ',' + self._number + ',' + self._gender + ',' + self._degree + ',' + str(self._words) + ',' + str(self._modification)  + ')'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + self._number + ',' + self._gender + ',' + self._degree + ',' + str(self._words) + ',' + str(self._modification)  + ')'


class ComPrepNP(NonLexPhrase):

    def __init__(self, prep, id):
        super().__init__('comprepnp', id)
        self._prep = prep

    @classmethod
    def fromTree(cls, tree, id):
        prep = ComplexPreposition(tree._children[-1]._children[0]._content)
        return cls(prep, id)

    def __str__(self):
        return 'comprepnp(' + str(self._prep) + ')'


class CP(NonLexPhrase):

    def __init__(self, type, id):
        super().__init__('cp', id)
        self._type = type

    @classmethod
    def fromTree(cls, tree, id):
        type = ClauseType.fromTree(tree._children[0])
        return cls(type, id)

    def __str__(self):
        return 'cp(' + str(self._type) + ')'

class LexCP(LexPhrase):

    def __init__(self, cp, negativity, words, inherent_sie, modification, id):
        super().__init__('cp', id)
        self._cp = cp
        self._negativity = negativity
        self._words = words
        self._inherent_sie = inherent_sie
        self._modification = modification

    @classmethod
    def fromTree(cls, tree, id):
        cp = phrase_from_tree(tree._children[0]._children[0])
        negativity = tree._children[1]._children[0]._attrs['value']
        words = Words.fromTree(tree._children[2])
        if tree._children[3]._children[0]._attrs['value'] == 'true':
            inherent_sie = u'się'
        else:
            inherent_sie = u''
        modifications = Modification.fromTree(tree._children[4])
        return cls(cp, negativity, words, inherent_sie, modifications, id)

    def _lex_phrase(self):
        return self._cp

    def __str__(self):
        return 'lex(' + str(self._cp) + ',' + self._negativity + ',' + str(self._words) + ',' + str(self._inherent_sie) + ',' + str(self._modification)  + ')'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + self._negativity + ',' + str(self._words) + ',' + str(self._inherent_sie) + ',' + str(self._modification)  + ')'

class NCP(NonLexPhrase):

    def __init__(self, case, type, id):
        super().__init__('ncp', id)
        self._case = case
        self._type = type

    @classmethod
    def fromTree(cls, tree, id):
        case = Case(tree._children[0]._children[0]._attrs['value'])
        type = ClauseType.fromTree(tree._children[1])
        return cls(case, type, id)

    def __str__(self):
        return 'ncp(' + str(self._case) + ',' + str(self._type) + ')'

class LexNCP(LexPhrase):

    def __init__(self, ncp, negativity, words, inherent_sie, modification, id):
        super().__init__('ncp', id)
        self._ncp = ncp
        self._negativity = negativity
        self._words = words
        self._inherent_sie = inherent_sie
        self._modification = modification

    @classmethod
    def fromTree(cls, tree, id):
        ncp = phrase_from_tree(tree._children[0]._children[0])
        negativity = tree._children[1]._children[0]._attrs['value']
        words = Words.fromTree(tree._children[2])
        if tree._children[3]._children[0]._attrs['value'] == 'true':
            inherent_sie = u'się'
        else:
            inherent_sie = u''
        modifications = Modification.fromTree(tree._children[4])
        return cls(ncp, negativity, words, inherent_sie, modifications, id)

    def _lex_phrase(self):
        return self._ncp

    def __str__(self):
        return 'lex(' + str(self._ncp) + ',' + self._negativity + ',' + str(self._words) + ',' + str(self._inherent_sie) + ',' + str(self._modification)  + ')'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + self._negativity + ',' + str(self._words) + ',' + str(self._inherent_sie) + ',' + str(self._modification)  + ')'


class PrepNCP(NonLexPhrase):

    def __init__(self, prep, type, id):
        super().__init__('prepncp', id)
        self._prep = prep
        self._type = type

    @classmethod
    def fromTree(cls, tree, id):
        case = Case(tree._children[1]._children[0]._attrs['value'])
        prep = Preposition(tree._children[0]._children[0]._attrs['value'], case)
        type = ClauseType.fromTree(tree._children[2])
        return cls(prep, type, id)

    def __str__(self):
        return 'prepncp(' + str(self._prep) + ',' + str(self._type) + ')'


class Nonch(NonLexPhrase):

    def __init__(self, id):
        super().__init__('nonch', id, no_attributes=True)

    @classmethod
    def fromTree(cls, tree, id):
        return cls(id)

    def __str__(self):
        return 'nonch'


class InfP(NonLexPhrase):

    def __init__(self, aspect, id):
        super().__init__('infp', id)
        self._aspect = aspect
        self._id = id

    @classmethod
    def fromTree(cls, tree, id):
        aspect = Aspect(tree._children[0]._children[0]._attrs['value'])
        return cls(aspect, id)

    def __str__(self):
        return 'infp(' + str(self._aspect) + ')'

class LexInfP(LexPhrase):

    def __init__(self, infp, negativity, words, inherent_sie, modification, id):
        super().__init__('infp', id)
        self._infp = infp
        self._negativity = negativity
        self._words = words
        self._inherent_sie = inherent_sie
        self._modification = modification

    @classmethod
    def fromTree(cls, tree, id):
        infp = phrase_from_tree(tree._children[0]._children[0])
        negativity = tree._children[1]._children[0]._attrs['value']
        words = Words.fromTree(tree._children[2])
        if tree._children[3]._children[0]._attrs['value'] == 'true':
            inherent_sie = u'się'
        else:
            inherent_sie = u''
        modifications = Modification.fromTree(tree._children[4])
        return cls(infp, negativity, words, inherent_sie, modifications, id)

    def _lex_phrase(self):
        return self._infp

    def __str__(self):
        return 'lex(' + str(self._infp) + ',' + self._negativity + ',' + str(self._words) + ',' + str(self._inherent_sie) + ',' + str(self._modification)  + ')'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + self._negativity + ',' + str(self._words) + ',' + str(self._inherent_sie) + ',' + str(self._modification)  + ')'


class PrepGerP(NonLexPhrase):

    def __init__(self, prep, id):
        super().__init__('prepgerp', id)
        self._prep = prep

    @classmethod
    def fromTree(cls, tree, id):
        case = Case(tree._children[1]._children[0]._attrs['value'])
        prep = Preposition(tree._children[0]._children[0]._attrs['value'], case)
        return cls(prep, id)

    def __str__(self):
        return 'prepgerp(' + str(self._prep) + ')'

class LexPrepGerP(LexPhrase):

    def __init__(self, prepgerp, number, negativity, words, inherent_sie, modification, id):
        super().__init__('prepgerp', id)
        self._prepgerp = prepgerp
        self._number = number
        self._negativity = negativity
        self._words = words
        self._inherent_sie = inherent_sie
        self._modification = modification

    @classmethod
    def fromTree(cls, tree, id):
        prepgerp = phrase_from_tree(tree._children[0]._children[0])
        number = tree._children[1]._children[0]._attrs['value']
        negativity = tree._children[2]._children[0]._attrs['value']
        words = Words.fromTree(tree._children[3])
        if tree._children[4]._children[0]._attrs['value'] == 'true':
            inherent_sie = 'się'
        else:
            inherent_sie = ''
        modifications = Modification.fromTree(tree._children[5])
        return cls(prepgerp, number, negativity, words, inherent_sie, modifications, id)

    def _lex_phrase(self):
        return self._prepgerp

    def __str__(self):
        return 'lex(' + str(self._prepgerp) + ',' + self._number + ',' + self._negativity + ',' + str(self._words) + ',' + str(self._modification)  + ')'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + self._number + ',' + self._negativity + ',' + str(self._words) + ',' + str(self._modification)  + ')'


class PPasP(NonLexPhrase):

    def __init__(self, case, id):
        super().__init__('ppasp', id)
        self._case = case

    @classmethod
    def fromTree(cls, tree, id):
        case = Case(tree._children[0]._children[0]._attrs['value'])
        return cls(case, id)

    def __str__(self):
        return 'ppasp(' + str(self._case) + ')'

class LexPPasP(LexPhrase):

    def __init__(self, ppasp, number, gender, negativity, words, modification, id):
        super().__init__('ppasp', id)
        self._ppasp = ppasp
        self._number = number
        self._gender = gender
        self._negativity = negativity
        self._words = words
        self._modification = modification

    @classmethod
    def fromTree(cls, tree, id):
        ppasp = phrase_from_tree(tree._children[0]._children[0])
        number = tree._children[1]._children[0]._attrs['value']
        gender = tree._children[2]._children[0]._children[0]._attrs['value']
        negativity = tree._children[3]._children[0]._attrs['value']
        words = Words.fromTree(tree._children[4])
        modifications = Modification.fromTree(tree._children[5])
        return cls(ppasp, number, gender, negativity, words, modifications, id)

    def _lex_phrase(self):
        return self._ppasp

    def __str__(self):
        return 'lex(' + str(self._ppasp) + ',' + self._number + ',' + self._gender + ',' + self._negativity + ',' + str(self._words) + ',' + str(self._modification)  + ')'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + self._number + ',' + self._gender + ',' + self._negativity + ',' + str(self._words) + ',' + str(self._modification)  + ')'


class PrepPPasP(NonLexPhrase):

    def __init__(self, prep, id):
        super().__init__('prepppasp', id)
        self._prep = prep

    @classmethod
    def fromTree(cls, tree, id):
        case = Case(tree._children[1]._children[0]._attrs['value'])
        prep = Preposition(tree._children[0]._children[0]._attrs['value'], case)
        return cls(prep, id)

    def __str__(self):
        return 'prepppasp(' + str(self._prep) + ')'

class LexPrepPPasP(LexPhrase):

    def __init__(self, prepppasp, number, gender, negativity, words, modification, id):
        super().__init__('prepppasp', id)
        self._prepppasp = prepppasp
        self._number = number
        self._gender = gender
        self._negativity = negativity
        self._words = words
        self._modification = modification

    @classmethod
    def fromTree(cls, tree, id):
        prepppasp = phrase_from_tree(tree._children[0]._children[0])
        number = tree._children[1]._children[0]._attrs['value']
        gender = tree._children[2]._children[0]._children[0]._attrs['value']
        negativity = tree._children[3]._children[0]._attrs['value']
        words = Words.fromTree(tree._children[4])
        modifications = Modification.fromTree(tree._children[5])
        return cls(prepppasp, number, gender, negativity, words, modifications, id)

    def _lex_phrase(self):
        return self._prepppasp

    def __str__(self):
        return 'lex(' + str(self._prepppasp) + ',' + self._number + ',' + self._gender + ',' + self._negativity + ',' + str(self._words) + ',' + str(self._modification)  + ')'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + self._number + ',' + self._gender + ',' + self._negativity + ',' + str(self._words) + ',' + str(self._modification)  + ')'


class PActP(NonLexPhrase):

    def __init__(self, case, id):
        super().__init__('pactp', id)
        self._case = case

    @classmethod
    def fromTree(cls, tree, id):
        case = Case(tree._children[0]._children[0]._attrs['value'])
        return cls(case, id)

    def __str__(self):
        return 'pactp(' + str(self._case) + ')'

class LexPActP(LexPhrase):

    def __init__(self, pactp, number, gender, negativity, words, inherent_sie, modification, id):
        super().__init__('pactp', id)
        self._pactp = pactp
        self._number = number
        self._gender = gender
        self._negativity = negativity
        self._words = words
        self._inherent_sie = inherent_sie
        self._modification = modification

    @classmethod
    def fromTree(cls, tree, id):
        pactp = phrase_from_tree(tree._children[0]._children[0])
        number = tree._children[1]._children[0]._attrs['value']
        gender = tree._children[2]._children[0]._children[0]._attrs['value']
        negativity = tree._children[3]._children[0]._attrs['value']
        words = Words.fromTree(tree._children[4])
        if tree._children[5]._children[0]._attrs['value'] == 'true':
            inherent_sie = u'się'
        else:
            inherent_sie = u''
        modifications = Modification.fromTree(tree._children[6])
        return cls(pactp, number, gender, negativity, words, inherent_sie, modifications, id)

    def _lex_phrase(self):
        return self._pactp

    def __str__(self):
        return 'lex(' + str(self._pactp) + ',' + self._number + ',' + self._gender + ',' + self._negativity + ',' + str(self._words) + ',' + self._inherent_sie + ',' + str(self._modification)  + ')'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + self._number + ',' + self._gender + ',' + self._negativity + ',' + str(self._words) + ',' + self._inherent_sie + ',' + str(self._modification)  + ')'


class XP(NonLexPhrase):

    def __init__(self, category, id):
        super().__init__('xp', id)
        self._category = category

    @classmethod
    def fromTree(cls, tree, id):
        category = AdverbialCategory.fromTree(tree)
        return cls(category, id)

    def __str__(self):
        return 'xp(' + str(self._category) + ')'


class Dummy:

    def __init__(self):
        self._attrs = {}
        self._children = []

    def __str__(self):
        return str(self._attrs) + str(self._children)

class LexXP(LexPhrase):

    def __init__(self, xp, lex, id):
        super().__init__('xp', id)
        self._xp = xp
        self._lex = lex

    @classmethod
    def fromTree(cls, tree, id):
        xp = phrase_from_tree(tree._children[0]._children[0])
        fake_node = Dummy()
        fake_node._attrs['type'] = 'lex'
        dummy = Dummy()
        dummy._children = [xp._category._limitation_tree]
        fake_node._children = [dummy] + tree._children[1:]
        lex = phrase_from_tree(fake_node)
        return cls(xp, lex, id)

    def _lex_phrase(self):
        return self._xp
    
    def __str__(self):
        return self._lex.retyped(self._xp)


class AdvP(NonLexPhrase):

    def __init__(self, category, id):
        super().__init__('advp', id)
        self._category = category

    @classmethod
    def fromTree(cls, tree, id):
        category = AdverbialCategory.fromTree(tree)
        return cls(category, id)

    def __str__(self):
        return 'advp(' + str(self._category) + ')'

class LexAdvP(LexPhrase):

    def __init__(self, advp, degree, words, modification, id):
        super().__init__('advp', id)
        self._advp = advp
        self._degree = degree
        self._words = words
        self._modification = modification

    @classmethod
    def fromTree(cls, tree, id):
        advp = phrase_from_tree(tree._children[0]._children[0])
        degree = tree._children[1]._children[0]._attrs['value']
        words = Words.fromTree(tree._children[2])
        modifications = Modification.fromTree(tree._children[3])
        return cls(advp, degree, words, modifications, id)

    def _lex_phrase(self):
        return self._advp

    def __str__(self):
        return 'lex(' + str(self._advp) + ',' + self._degree + ',' + str(self._words) + ',' + str(self._modification)  + ')'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + self._degree + ',' + str(self._words) + ',' + str(self._modification)  + ')'


class AdjP(NonLexPhrase):

    def __init__(self, case, id):
        super().__init__('adjp', id)
        self._case = case

    @classmethod
    def fromTree(cls, tree, id):
        case = Case(tree._children[0]._children[0]._attrs['value'])
        return cls(case, id)

    def __str__(self):
        return 'adjp(' + str(self._case) + ')'

class LexAdjP(LexPhrase):

    def __init__(self, adjp, number, gender, degree, words, modification, id):
        super().__init__('adjp', id)
        self._adjp = adjp
        self._number = number
        self._gender = gender
        self._degree = degree
        self._words = words
        self._modification = modification

    @classmethod
    def fromTree(cls, tree, id):
        adjp = phrase_from_tree(tree._children[0]._children[0])
        number = tree._children[1]._children[0]._attrs['value']
        gender = tree._children[2]._children[0]._children[0]._attrs['value']
        degree = tree._children[3]._children[0]._attrs['value']
        words = Words.fromTree(tree._children[4])
        modifications = Modification.fromTree(tree._children[5])
        return cls(adjp, number, gender, degree, words, modifications, id)

    def _lex_phrase(self):
        return self._adjp

    def __str__(self):
        return 'lex(' + str(self._adjp) + ',' + self._number + ',' + self._gender + ',' + self._degree + ',' + str(self._words) + ',' + str(self._modification)  + ')'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + self._number + ',' + self._gender + ',' + self._degree + ',' + str(self._words) + ',' + str(self._modification)  + ')'


class Compar(NonLexPhrase):

    def __init__(self, category, id):
        super().__init__('compar', id)
        self._category = category

    @classmethod
    def fromTree(cls, tree, id):
        category = ComparCategory(tree._children[0]._children[0]._attrs['value'])
        return cls(category, id)

    def __str__(self):
        return 'compar(' + str(self._category) + ')'

class LexCompar(LexPhrase):

    def __init__(self, compar, lexes, id):
        super().__init__('compar', id)
        self._compar = compar
        self._lexes = lexes

    @classmethod
    def fromTree(cls, tree, id):
        compar = phrase_from_tree(tree._children[0]._children[0])
        lexes = [phrase_from_tree(subtree) for subtree in tree._children[1]._children[0]._children]
        return cls(compar, lexes, id)

    def _lex_phrase(self):
        return self._compar

    def __str__(self):
        return 'lex(' + str(self._compar) + ',' + ','.join([str(lex) for lex in self._lexes]) + ',natr)'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + ','.join([str(lex) for lex in self._lexes]) + ',natr)'


class Qub(NonLexPhrase):

    def __init__(self, id):
        super().__init__('qub', id, no_attributes=True)

    @classmethod
    def fromTree(cls, tree, id):
        return cls(id)

    def __str__(self):
        return 'qub'

class LexQub(LexPhrase):

    def __init__(self, qub, words, modification, id):
        super().__init__('qub', id, no_attributes=True)
        self._qub = qub
        self._words = words
        self._modification = modification

    @classmethod
    def fromTree(cls, tree, id):
        qub = phrase_from_tree(tree._children[0]._children[0])
        words = Words.fromTree(tree._children[1])
        modifications = Modification.fromTree(tree._children[2])
        return cls(qub, words, modifications, id)

    def _lex_phrase(self):
        return self._qub

    def __str__(self):
        return 'lex(' + str(self._qub) + ',' + str(self._words) + ',' + str(self._modification) + ')'

    def retyped(self, new_type):
        return 'lex(' + str(new_type) + ',' + str(self._words) + ',' + str(self._modification) + ')'


class Refl(NonLexPhrase):

    def __init__(self, id):
        super().__init__('refl', id, no_attributes=True)

    @classmethod
    def fromTree(cls, tree, id):
        return cls(id)

    def __str__(self):
        return 'refl'


class Recip(NonLexPhrase):

    def __init__(self, id):
        super().__init__('recip', id, no_attributes=True)

    @classmethod
    def fromTree(cls, tree, id):
        return cls(id)

    def __str__(self):
        return 'recip'


class OR(NonLexPhrase):

    def __init__(self, id):
        super().__init__('or', id, no_attributes=True)

    @classmethod
    def fromTree(cls, tree, id):
        return cls(id)

    def __str__(self):
        return 'or'


class E(NonLexPhrase):

    def __init__(self, id):
        super().__init__('E', id, no_attributes=True)

    @classmethod
    def fromTree(cls, tree, id):
        return cls(id)

    def __str__(self):
        return 'E'


class PossP(NonLexPhrase):

    def __init__(self, id):
        super().__init__('possp', id, no_attributes=True)

    @classmethod
    def fromTree(cls, tree, id):
        return cls(id)

    def __str__(self):
        return 'possp'


class DistrP(NonLexPhrase):

    def __init__(self, id):
        super().__init__('distrp', id, no_attributes=True)

    @classmethod
    def fromTree(cls, tree, id):
        return cls(id)

    def __str__(self):
        return 'distrp'


# TODO subclass?
class Fixed(Phrase):

    def __init__(self, phrase, text, id):
        super().__init__('fixed', id)
        self._phrase = phrase
        self._text = text
        self._id = id

    @classmethod
    def fromTree(cls, tree, id):
        phrase = phrase_from_tree(tree._children[0]._children[0])
        text = tree._children[1]._children[0]._content
        if ' ' in text or text[0].isupper():
            text = '\'' + text + '\''
        return cls(phrase, text, id)

    def store(self, position, stored_positions):
        main_type, _ = PhraseTypeModel.objects.get_or_create(name=self._name,
                                                             phraseologic=True,
                                                             defaults={'priority': 0})
        # @TODO: to nie powinno być phrase
        
        
        '''lex_type, _ = PhraseTypeModel.objects.get_or_create(name=str(self._phrase).split('(')[0],
                                                       phraseologic=False,
                                                       defaults={'priority': 0})
        lex, _ = PhraseType.objects.get_or_create(main_type=lex_type,
                                                  attributes=get_attributes(lex_type.name, self._phrase),
                                                  lexicalized_phrase=None,
                                                  text_rep=str(self._phrase))
        '''
        
        lex = self._phrase.store(None, None)
        
        phrase, _ = PhraseType.objects.get_or_create(main_type=main_type,
                                                     attributes=get_attributes(self, stored_positions),
                                                     lexicalized_phrase=lex,
                                                     text_rep=str(self))
        position.phrase_types.add(phrase)
        # @TODO: powinno być tylko dla obecnej,
        #        choć lexy się w zasadzie nie powtarzają, więc to mały narzut
        for schema in position.schemata.all():
            schema.phraseologic=True
            schema.save()

    def __str__(self):
        return 'fixed(' + str(self._phrase) + ',' + self._text + ')'

'''def get_phrase_db_object(phrase, name, no_attributes=False):
    main_type, _ = PhraseTypeModel.objects.get_or_create(name=name,
                                                        phraseologic=False,
                                                        defaults={'priority': 0})
    attributes = empty_attributes() if no_attributes else get_attributes(main_type.name, phrase)
    phrase, _ = PhraseType.objects.get_or_create(main_type=main_type,
                                                 attributes=attributes,
                                                 lexicalized_phrase=None,
                                                 text_rep=str(phrase))
    return phrase

stored_modifications = dict()

def get_lex_phrase_db_object(phrase, lex_phrase, name, stored_positions, no_attributes=False, no_lex_attributes=False):
    main_type, _ = PhraseTypeModel.objects.get_or_create(name='lex',
                                                        phraseologic=True,
                                                        defaults={'priority': 0})
    lex_type, _ = PhraseTypeModel.objects.get_or_create(name=name,
                                                       phraseologic=False,
                                                       defaults={'priority':0})

    attributes = empty_attributes() if no_attributes else get_attributes(lex_type.name, lex_phrase)
    lex, _ = PhraseType.objects.get_or_create(main_type=lex_type,
                                              attributes=attributes,
                                              lexicalized_phrase=None,
                                              text_rep=str(lex_phrase))

    if name not in ('compar', 'xp'):
        assert(len(phrase._words._lemmas) > 0)
        lemma_operator = LemmaOperator.objects.get(name=phrase._words._selection)
        lemma_cooccur = LemmaCooccur.objects.get(name=phrase._words._cooccur)
        lemmata = [Lemma.objects.get_or_create(name=lemma)[0] for lemma in phrase._words._lemmas]
        mod_key = str(phrase._modification)
        #print('\n*****************************', mod_key)
        if mod_key in stored_modifications:
            modification = stored_modifications[mod_key]
            #print('*************** already stored:', modification)
        else:
            mod_type = ModificationType.objects.get(name=phrase._modification._atr)
            modification = DBModification.objects.create(mod_type=mod_type)
            # TODO? this is hacky: done like in Schema, taking advantage of the fact
            # that both Schema and Modifications have a m2m field ‘positions’
            # TODO ask TB what exactly the 3rd argument to Position.store does
            mod_positions = set()
            for position in phrase._modification._dependents:
                position.store(modification, stored_positions, mod_positions, None)
            stored_modifications[mod_key] = modification
            #print('*************** now stored:', modification)
    else:
        lemma_operator, lemma_cooccur, lemmata, modification = None, None, None, None

    attributes = empty_attributes() if no_lex_attributes else get_lex_attributes(lex_type.name, phrase)
    phrase, _ = PhraseType.objects.get_or_create(main_type=main_type,
                                                 attributes=attributes,
                                                 lexicalized_phrase=lex,
                                                 lemma_operator=lemma_operator,
                                                 lemma_cooccur=lemma_cooccur,
                                                 modification=modification,
                                                 text_rep=str(phrase))
    if lemmata:
        phrase.lemmata.set(lemmata)
    return phrase
'''

def phrase_from_tree(tree):
    if 'xml:id' in tree._attrs:
        id = tree._attrs['xml:id']
    else:
        id = None
    if tree._attrs['type'] == 'np':
        return NP.fromTree(tree, id)
    elif tree._attrs['type'] == 'adjp':
        return AdjP.fromTree(tree, id)
    elif tree._attrs['type'] == 'ppasp':
        return PPasP.fromTree(tree, id)
    elif tree._attrs['type'] == 'pactp':
        return PActP.fromTree(tree, id)
    elif tree._attrs['type'] == 'prepppasp':
        return PrepPPasP.fromTree(tree, id)
    elif tree._attrs['type'] == 'prepnp':
        return PrepNP.fromTree(tree, id)
    elif tree._attrs['type'] == 'nump':
        return NumP.fromTree(tree, id)
    elif tree._attrs['type'] == 'prepnump':
        return PrepNumP.fromTree(tree, id)
    elif tree._attrs['type'] == 'prepadjp':
        return PrepAdjP.fromTree(tree, id)
    elif tree._attrs['type'] == 'comprepnp':
        return ComPrepNP.fromTree(tree, id)
    elif tree._attrs['type'] == 'cp':
        return CP.fromTree(tree, id)
    elif tree._attrs['type'] == 'ncp':
        return NCP.fromTree(tree, id)
    elif tree._attrs['type'] == 'prepncp':
        return PrepNCP.fromTree(tree, id)
    elif tree._attrs['type'] == 'nonch':
        return Nonch.fromTree(tree, id)
    elif tree._attrs['type'] == 'infp':
        return InfP.fromTree(tree, id)
    elif tree._attrs['type'] == 'prepgerp':
        return PrepGerP.fromTree(tree, id)
    elif tree._attrs['type'] == 'xp':
        return XP.fromTree(tree, id)
    elif tree._attrs['type'] == 'advp':
        return AdvP.fromTree(tree, id)
    elif tree._attrs['type'] == 'compar':
        return Compar.fromTree(tree, id)
    elif tree._attrs['type'] == 'distrp':
        return DistrP.fromTree(tree, id)
    elif tree._attrs['type'] == 'refl':
        return Refl.fromTree(tree, id)
    elif tree._attrs['type'] == 'recip':
        return Recip.fromTree(tree, id)
    elif tree._attrs['type'] == 'or':
        return OR.fromTree(tree, id)
    elif tree._attrs['type'] == 'E':
        return E.fromTree(tree, id)
    elif tree._attrs['type'] == 'qub':
        return Qub.fromTree(tree, id)
    elif tree._attrs['type'] == 'possp':
        return PossP.fromTree(tree, id)
    elif tree._attrs['type'] == 'fixed':
        return Fixed.fromTree(tree, id)
    elif tree._attrs['type'] == 'lex':
        if tree._children[0]._children[0]._attrs['type'] == 'np':
            return LexNP.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'prepnp':
            return LexPrepNP.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'infp':
            return LexInfP.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'compar':
            return LexCompar.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'xp':
            return LexXP.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'adjp':
            return LexAdjP.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'cp':
            return LexCP.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'ncp':
            return LexNCP.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'prepnump':
            return LexPrepNumP.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'prepadjp':
            return LexPrepAdjP.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'ppasp':
            return LexPPasP.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'prepgerp':
            return LexPrepGerP.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'nump':
            return LexNumP.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'advp':
            return LexAdvP.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'prepppasp':
            return LexPrepPPasP.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'qub':
            return LexQub.fromTree(tree, id)
        elif tree._children[0]._children[0]._attrs['type'] == 'pactp':
            return LexPActP.fromTree(tree, id)
        else:
            print('lex: ' + tree._children[0]._children[0]._attrs['type'])
            raise UnexpectedError()
    else:
        print('type: ' + tree._attrs['type'])
        raise UnexpectedError(tree._attrs['type'])