DataClassification¶
- pydantic model openapi_client.models.data_classification.DataClassification¶
DataClassification
- Fields:
- field data_classification_name: StrictStr [Required] (alias 'DataClassificationName')¶
Unique name identifying the data classification.
- Constraints:
strict = True
- field description: Optional[StrictStr] = None (alias 'Description')¶
Human-readable description of the classification.
- field display_name: Optional[StrictStr] = None (alias 'DisplayName')¶
Display name shown in the UI. Defaults to DataClassificationName if not provided.
- field last_modified_by: Optional[StrictStr] = None (alias 'LastModifiedBy')¶
User ID of the last person who modified this classification.
- field last_modified_time: Optional[StrictStr] = None (alias 'LastModifiedTime')¶
ISO 8601 timestamp of the last modification.
- field created_by: Optional[StrictStr] = None (alias 'CreatedBy')¶
User ID of the person who created this classification.
- field resources: Optional[DataClassificationResources] = None (alias 'Resources')¶
- to_str()¶
Returns the string representation of the model using alias
- Return type:
str
- to_json()¶
Returns the JSON representation of the model using alias
- Return type:
str
- classmethod from_json(json_str)¶
Create an instance of DataClassification from a JSON string
- Return type:
Optional[Self]
- to_dict()¶
Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic’s self.model_dump(by_alias=True):
None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.
- Return type:
Dict[str,Any]
- classmethod from_dict(obj)¶
Create an instance of DataClassification from a dict
- Return type:
Optional[Self]