DataPermissionsResponseInner

pydantic model openapi_client.models.data_permissions_response_inner.DataPermissionsResponseInner

One data filter record from the data-filter table.

Fields:
field dataset_id: Optional[StrictStr] = None (alias 'DatasetId')

Dataset ID the filter belongs to.

field system_name: Optional[StrictStr] = None (alias 'SystemName')

Lake Formation data filter name (table Name key), typically {Domain}_{DatasetName}_{shortName}. Use this value as dfname on PUT/DELETE.

field total_columns: Optional[StrictInt] = None (alias 'TotalColumns')

Count of columns on the dataset schema at list time.

field effective_tags: Optional[List[StrictStr]] = None (alias 'EffectiveTags')

Tag IDs currently effective for this filter.

field created_by: Optional[StrictStr] = None (alias 'CreatedBy')

User who created the filter.

field last_modified_by: Optional[StrictStr] = None (alias 'LastModifiedBy')

User who last modified the filter.

field last_modified_time: Optional[StrictStr] = None (alias 'LastModifiedTime')

Last modification timestamp.

field data_permissions: Optional[DataPermissions] = None (alias 'DataPermissions')

Filter definition (short Name, Columns, Rows, AuthorizedTags).

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 DataPermissionsResponseInner 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 DataPermissionsResponseInner from a dict

Return type:

Optional[Self]