# Manage custom field metadata
Udf is the abbreviation of User Defined Field (User Defined Field). Authing data entities (such as users, roles, groups, organizations, etc.) can add custom fields. You can configure fields that Authing does not come with by default. For example, if you need to create a school-related application, you can add a custom field. `school` field. At the same time, you can ask the user to supplement the information of this field after the user registration is completed. For detailed documentation, please see https://docs.authing.co/extensibility/user/extend-register-fields.html.
# Set custom field metadata
UdfManagementClient().set(targetType, key, dataType, label)
Set custom field metadata, if the field does not exist, it will be created automatically.
# Parameters
targetType
<UdfTargetType> Custom field target type, USER means user and ROLE means role.key
<string> field keydataType
<UdfDataType> data type, currently supports five data types. STRING is a character string, NUMBER is a number, DATETIME is a date, BOOLEAN is a boolean value, and OBJECT is an object.label
<string> The field Label is generally a Human Readable string.
# Example
udf = management.udf.set(
targetType='USER', # The target type is user
key='school', # key is school
dataType='STRING', # Data type is string
label='School', # The label displayed is the school
)
udf = management.udf.set(
targetType='USER', # The target type is user
key='age', # key is age
dataType='NUMBER', # data type is number
label='age', # displayed label is age
)
# Delete custom fields
UdfManagementClient().remove(targetType, key)
Delete custom fields
# Parameters
targetType
<UdfTargetType> Custom field target type, USER means user and ROLE means role.key
<string> field key
# Example
management.udf.remove(
targetType='USER', # The target type is user
key='school' # key is school
)
# Get custom field definition
UdfManagementClient().list(targetType)
Query custom fields defined by user pool
# Parameters
targetType
<UdfTargetType> Custom field target type, USER means user and ROLE means role.
# Example
udfs = management.udf.list(
targetType="USER" # The target type is user
)