DatasourceSystemDataflowItem

pydantic model openapi_client.models.datasource_system_dataflow_item.DatasourceSystemDataflowItem

Dataflow task item returned by GET /datasources/dataflows.

Fields:
field dataflow_id: Optional[StrictStr] = None (alias 'DataflowId')
field dataflow_name: Optional[StrictStr] = None (alias 'DataflowName')
field dataflow_status: Optional[StrictStr] = None (alias 'DataflowStatus')
field datasource_id: Optional[StrictStr] = None (alias 'DatasourceId')
field datasource_name: Optional[StrictStr] = None (alias 'DatasourceName')
field ingestion_type: Optional[StrictStr] = None (alias 'IngestionType')
field process_type: Optional[StrictStr] = None (alias 'ProcessType')
field dataflow_config: Optional[Dict[str, Any]] = None (alias 'DataflowConfig')
field target_location: Optional[StrictStr] = None (alias 'TargetLocation')
field metadata_update_status: Optional[StrictStr] = None (alias 'MetadataUpdateStatus')
field metadata_update_message: Optional[StrictStr] = None (alias 'MetadataUpdateMessage')
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 DatasourceSystemDataflowItem 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 DatasourceSystemDataflowItem from a dict

Return type:

Optional[Self]