DatasourceFlowsDetailsItemsConfigInnerItemDetailsInner

pydantic model openapi_client.models.datasource_flows_details_items_config_inner_item_details_inner.DatasourceFlowsDetailsItemsConfigInnerItemDetailsInner

DatasourceFlowsDetailsItemsConfigInnerItemDetailsInner

Fields:
field item_id: Optional[StrictStr] = None (alias 'ItemId')

ArcGIS item ID.

field layer_id: Optional[StrictInt] = None (alias 'LayerId')

Layer ID within the ArcGIS item.

field cdc_config: Optional[DatasourceFlowsDetailsItemsConfigInnerItemDetailsInnerCDCConfig] = None (alias 'CDCConfig')
field dataset_details: Optional[DatasourceFlowsDetailsItemsConfigInnerItemDetailsInnerDatasetDetails] = None (alias 'DatasetDetails')
field ingestion_config: Optional[DatasourceFlowsDetailsItemsConfigInnerItemDetailsInnerIngestionConfig] = None (alias 'IngestionConfig')
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 DatasourceFlowsDetailsItemsConfigInnerItemDetailsInner 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 DatasourceFlowsDetailsItemsConfigInnerItemDetailsInner from a dict

Return type:

Optional[Self]