DatalabsListResponseDatalabsInner

pydantic model openapi_client.models.datalabs_list_response_datalabs_inner.DatalabsListResponseDatalabsInner

DatalabsListResponseDatalabsInner

Fields:

• access_type (str | None)

• created_by (str | None)

• creation_time (str | None)

• datalab_id (str | None)

• datalab_name (str | None)

• datalab_status (str | None)

• datalab_type (str | None)

• description (str | None)

• last_modified_by (str | None)

• last_modified_time (str | None)

• message (str | None)

field datalab_id: Optional[StrictStr] = None (alias 'DatalabId')

field datalab_name: Optional[StrictStr] = None (alias 'DatalabName')

field datalab_type: Optional[StrictStr] = None (alias 'DatalabType')

field message: Optional[StrictStr] = None (alias 'Message')

field description: Optional[StrictStr] = None (alias 'Description')

field access_type: Optional[StrictStr] = None (alias 'AccessType')

field datalab_status: Optional[StrictStr] = None (alias 'DatalabStatus')

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

field creation_time: Optional[StrictStr] = None (alias 'CreationTime')

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

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

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 DatalabsListResponseDatalabsInner 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 DatalabsListResponseDatalabsInner from a dict

Return type:

Optional[Self]