python类TSVECTOR的实例源码

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def serialize_columns(cls, obj, data, skip_primary_key=False, skip_foreign_keys=False):
        columns = inspect(obj).mapper.columns
        for key, column in columns.items():
            if skip_primary_key and column.primary_key:
                continue
            if skip_foreign_keys and len(column.foreign_keys):
                continue
            if isinstance(column.type, TSVECTOR):
                continue
            data[key] = cls.serialize_column(column, getattr(obj, key))

        return data

def get_schema(self, objects_class):
        extended_mapping = alchemyjsonschema.default_column_to_schema.copy()
        extended_mapping[sqltypes.ARRAY] = 'array'
        extended_mapping[sqltypes.JSON] = 'object'
        extended_mapping[TSVECTOR] = 'array'
        factory = alchemyjsonschema.SchemaFactory(alchemyjsonschema.StructuralWalker,
                                                  classifier=alchemyjsonschema.Classifier(extended_mapping))
        return factory(objects_class, depth=1)

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type):
        return "TSVECTOR"

def visit_TSVECTOR(self, type):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def test_type_reflection(self, engine):
        reflected_metadata = sa.schema.MetaData()
        table = sa.schema.Table(
            'user',
            reflected_metadata,
            autoload=True,
            autoload_with=engine
        )
        assert isinstance(table.c['search_index'].type, TSVECTOR)

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def upgrade():
    # ### commands auto generated by Alembic - please adjust! ###
    op.drop_index('idx_priority_areas_geometry', table_name='priority_areas')
    op.add_column('project_info', sa.Column('project_id_str', sa.String(), nullable=True))
    op.add_column('project_info', sa.Column('text_searchable', postgresql.TSVECTOR(), nullable=True))
    # ### end Alembic commands ###

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"

def visit_TSVECTOR(self, type, **kw):
        return "TSVECTOR"