Ejemplo n.º 1
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            class Test2:

                id = Integer(primary_key=True)
                test = One2One(model=Model.Test,
                               column_names=('other_test_id',
                                             'other_test_id2'),
                               backref="test2")
Ejemplo n.º 2
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    class Person:
        __db_schema__ = 'test_db_m2m_schema'

        name = String(primary_key=True)
        address = One2One(model=Model.Address,
                          remote_columns="id", column_names="id_of_address",
                          backref="person", nullable=False)
Ejemplo n.º 3
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            class Test2:

                id = Integer(primary_key=True)
                other_test_id = Integer(
                    foreign_key=Model.Test.use('id'), nullable=False)
                other_test_id2 = String(
                    foreign_key=Model.Test.use('id2'), nullable=False)
                test = One2One(model=Model.Test, backref="test2")
Ejemplo n.º 4
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            class Test2:

                id = Integer(primary_key=True)
                test_id = Integer(
                    foreign_key=Model.Test.use('id'), nullable=False)
                test_id2 = String(
                    foreign_key=Model.Test.use('id2'), nullable=False)
                test = One2One(model=Model.Test,
                               remote_columns=('id', 'id2'),
                               column_names=('test_id', 'test_id2'),
                               backref="test2")
class PredictionModelCall(Mixin.IdColumn):
    """One call to a PredictionModel"""
    call_datetime = DateTime(label='Datetime when the model was called',
                             default=datetime.datetime.utcnow,
                             nullable=False)
    prediction_model = Many2One(label='Model that created the call',
                                model=PredictionModel,
                                nullable=False,
                                one2many='model_previous_calls')
    prediction_inputs = One2One(label='Inputs that produced the output',
                                model=PredictionInputVector,
                                backref='inputs')
    prediction_output = String(nullable=False)

    def __repr__(self):
        msg = '<PredictionModelCall call_datetime={self.call_datetime}, prediction_model={self.prediction_model}>'
        return msg.format(self=self)
Ejemplo n.º 6
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            class Test2:

                @classmethod
                def define_table_args(cls):
                    table_args = super(Test2, cls).define_table_args()
                    return table_args + (ForeignKeyConstraint(
                        [cls.test_id, cls.test_id2], ['test.id', 'test.id2']),)

                id = Integer(primary_key=True)
                test_id = Integer(
                    foreign_key=Model.Test.use('id'), nullable=False)
                test_id2 = String(
                    foreign_key=Model.Test.use('id2'), nullable=False)
                test = One2One(model=Model.Test,
                               remote_columns=('id', 'id2'),
                               column_names=('test_id', 'test_id2'),
                               backref="test2")
Ejemplo n.º 7
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    class Exemple:
        id = Integer(primary_key=True)
        exemple = One2One(model='Model.Exemple', backref='exemple2')
        type = String(nullable=False)

        @classmethod
        def define_mapper_args(cls):
            mapper_args = super(Exemple, cls).define_mapper_args()
            if cls.__registry_name__ == 'Model.Exemple':
                mapper_args.update({
                    'polymorphic_identity': 'exemple',
                    'polymorphic_on': cls.type,
                })
            else:
                mapper_args.update({
                    'polymorphic_identity': 'exemple2',
                })

            return mapper_args
Ejemplo n.º 8
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class PredictionModelExecutor(Mixin.IdColumn):
    """An executor is the part of the model that really compute
    Should be extended or overriden in other bloks
    """
    prediction_model = One2One(label='Model using the executor',
                               model=PredictionModel,
                               backref='model_executor',
                               nullable=False)

    def predict(self, features):
        """Pass the features to the model, let the model run and return its output"""
        # todo: add more possibilities: tensorflow, h2o
        model_name = self.prediction_model.model_name
        model_file_path = self.prediction_model.model_file_path
        logger.info('Starting prediction for {}'.format(model_name))
        logger.debug('Loading model from {}'.format(model_file_path))
        with open(model_file_path, 'rb') as f:
            model = pickle.load(f)

        feature_values = [f['value'] for f in features]
        output = model.predict(feature_values)
        return output
Ejemplo n.º 9
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    class Person:

        name = String(primary_key=True)
        address = One2One(model="Model.Address", backref="person")
Ejemplo n.º 10
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    class Person:
        __db_schema__ = 'test_other_db_schema'

        name = String(primary_key=True)
        address = One2One(model=Model.Address, backref="person")
Ejemplo n.º 11
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            class Test2:

                id = Integer(primary_key=True)
                test = One2One(model=Model.Test, backref="test2")
 class Exemple2:
     id = Integer(primary_key=True)
     exemple = One2One(model='Model.Exemple', backref='exemple2')
 def test_forbid_many2one_with_one2one(self):
     with pytest.raises(FieldException):
         Contextual(field=One2One(model='Model.System.Blok'),
                    identity='foo')
Ejemplo n.º 14
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    class Person:

        name = String(primary_key=True)
        address = One2One(model=Model.Address,
                          backref="person", one2many="persons")
Ejemplo n.º 15
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    class Person:

        name = String(primary_key=True, db_column_name="y1")
        address_id = Integer(db_column_name="y2",
                             foreign_key=Model.Address.use('id'))
        address = One2One(model=Model.Address, backref="person")
Ejemplo n.º 16
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    class Person:

        name = String(primary_key=True, db_column_name="y1")
        address = One2One(model=Model.Address, backref="person")
Ejemplo n.º 17
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 class Test2:
     id = Integer(primary_key=True)
     name = String()
     test = One2One(model=Model.Test, backref='test2')
Ejemplo n.º 18
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 class Customer(Mixin.TeamOwner):
     id = Integer(primary_key=True)
     name = String()
     pet = One2One(model=Model.Pet, backref="owner")
Ejemplo n.º 19
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    class Person:

        name = String(primary_key=True)
        address = One2One(model=Model.Address)