Python datastructures.DictWrapper方法代碼示例

# 需要導入模塊: from django.utils import datastructures [as 別名]
# 或者: from django.utils.datastructures import DictWrapper [as 別名]
def db_type(self, connection):
        """
        Returns the database column data type for this field, for the provided
        connection.
        """
        # The default implementation of this method looks at the
        # backend-specific data_types dictionary, looking up the field by its
        # "internal type".
        #
        # A Field class can implement the get_internal_type() method to specify
        # which *preexisting* Django Field class it's most similar to -- i.e.,
        # a custom field might be represented by a TEXT column type, which is
        # the same as the TextField Django field type, which means the custom
        # field's get_internal_type() returns 'TextField'.
        #
        # But the limitation of the get_internal_type() / data_types approach
        # is that it cannot handle database column types that aren't already
        # mapped to one of the built-in Django field types. In this case, you
        # can implement db_type() instead of get_internal_type() to specify
        # exactly which wacky database column type you want to use.
        data = DictWrapper(self.__dict__, connection.ops.quote_name, "qn_")
        try:
            return connection.data_types[self.get_internal_type()] % data
        except KeyError:
            return None 

# 需要導入模塊: from django.utils import datastructures [as 別名]
# 或者: from django.utils.datastructures import DictWrapper [as 別名]
def db_parameters(self, connection):
        """
        Extension of db_type(), providing a range of different return
        values (type, checks).
        This will look at db_type(), allowing custom model fields to override it.
        """
        data = DictWrapper(self.__dict__, connection.ops.quote_name, "qn_")
        type_string = self.db_type(connection)
        try:
            check_string = connection.data_type_check_constraints[self.get_internal_type()] % data
        except KeyError:
            check_string = None
        return {
            "type": type_string,
            "check": check_string,
        } 

# 需要導入模塊: from django.utils import datastructures [as 別名]
# 或者: from django.utils.datastructures import DictWrapper [as 別名]
def db_type(self, connection):
        """
        Return the database column data type for this field, for the provided
        connection.
        """
        # The default implementation of this method looks at the
        # backend-specific data_types dictionary, looking up the field by its
        # "internal type".
        #
        # A Field class can implement the get_internal_type() method to specify
        # which *preexisting* Django Field class it's most similar to -- i.e.,
        # a custom field might be represented by a TEXT column type, which is
        # the same as the TextField Django field type, which means the custom
        # field's get_internal_type() returns 'TextField'.
        #
        # But the limitation of the get_internal_type() / data_types approach
        # is that it cannot handle database column types that aren't already
        # mapped to one of the built-in Django field types. In this case, you
        # can implement db_type() instead of get_internal_type() to specify
        # exactly which wacky database column type you want to use.
        data = DictWrapper(self.__dict__, connection.ops.quote_name, "qn_")
        try:
            return connection.data_types[self.get_internal_type()] % data
        except KeyError:
            return None 

# 需要導入模塊: from django.utils import datastructures [as 別名]
# 或者: from django.utils.datastructures import DictWrapper [as 別名]
def db_type_parameters(self, connection):
        return DictWrapper(self.__dict__, connection.ops.quote_name, 'qn_')

    # Subclasses should take this value and add parametised values with str overload DBType 

# 需要導入模塊: from django.utils import datastructures [as 別名]
# 或者: from django.utils.datastructures import DictWrapper [as 別名]
def db_type_parameters(self, connection):
        return DictWrapper(self.__dict__, connection.ops.quote_name, 'qn_') 

# 需要導入模塊: from django.utils import datastructures [as 別名]
# 或者: from django.utils.datastructures import DictWrapper [as 別名]
def db_check(self, connection):
        """
        Return the database column check constraint for this field, for the
        provided connection. Works the same way as db_type() for the case that
        get_internal_type() does not map to a preexisting model field.
        """
        data = DictWrapper(self.__dict__, connection.ops.quote_name, "qn_")
        try:
            return connection.data_type_check_constraints[self.get_internal_type()] % data
        except KeyError:
            return None 

# 需要導入模塊: from django.utils import datastructures [as 別名]
# 或者: from django.utils.datastructures import DictWrapper [as 別名]
def db_type(self, connection):
        """
        Returns the database column data type for this field, for the provided
        connection.
        """
        # The default implementation of this method looks at the
        # backend-specific DATA_TYPES dictionary, looking up the field by its
        # "internal type".
        #
        # A Field class can implement the get_internal_type() method to specify
        # which *preexisting* Django Field class it's most similar to -- i.e.,
        # a custom field might be represented by a TEXT column type, which is
        # the same as the TextField Django field type, which means the custom
        # field's get_internal_type() returns 'TextField'.
        #
        # But the limitation of the get_internal_type() / data_types approach
        # is that it cannot handle database column types that aren't already
        # mapped to one of the built-in Django field types. In this case, you
        # can implement db_type() instead of get_internal_type() to specify
        # exactly which wacky database column type you want to use.
        data = DictWrapper(self.__dict__, connection.ops.quote_name, "qn_")
        try:
            return (connection.creation.data_types[self.get_internal_type()]
                    % data)
        except KeyError:
            return None