DatasourceFlowsDetails¶

class openapi_client.models.datasource_flows_details.DatasourceFlowsDetails(**data)[source]¶

Bases: BaseModel

dataflow_type: Optional[StrictStr]¶

dataflow_id: Optional[StrictStr]¶

ingestion_type: Optional[StrictStr]¶

dataflow_name: Optional[StrictStr]¶

datasource_id: Optional[StrictStr]¶

dataflow_status: Optional[StrictStr]¶

process_type: Optional[StrictStr]¶

cdc_tracking_method: Optional[StrictStr]¶

target_location: Optional[StrictStr]¶

create_dataset: Optional[StrictBool]¶

dataset_details: Optional[List[DatasourceFlowsDetailsDatasetDetailsInner]]¶

message: Optional[StrictStr]¶

data_format: Optional[StrictStr]¶

creation_time: Optional[StrictStr]¶

created_by: Optional[StrictStr]¶

last_modified_by: Optional[StrictStr]¶

last_modified_time: Optional[StrictStr]¶

is_data_transformation_enabled: Optional[StrictBool]¶

items_config: Optional[List[DatasourceFlowsDetailsItemsConfigInner]]¶

schedules: Optional[List[Any]]¶

registered_datasets: Optional[List[Any]]¶

datasource_name: Optional[StrictStr]¶

file_type: Optional[StrictStr]¶

resource_origin: Optional[StrictStr]¶

dataflow_config: Optional[DatasourceFlowsDetailsDataflowConfig]¶

data_tranformation_confirguration: Optional[DatasourceFlowsDetailsDataTranformationConfirguration]¶

model_config: ClassVar[ConfigDict] = {'populate_by_name': True, 'protected_namespaces': (), 'validate_assignment': True}¶: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

to_str()[source]¶

Returns the string representation of the model using alias

Return type:: str

to_json()[source]¶

Returns the JSON representation of the model using alias

Return type:: str

classmethod from_json(json_str)[source]¶

Create an instance of DatasourceFlowsDetails from a JSON string

Return type:: Optional[Self]

to_dict()[source]¶

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)[source]¶

Create an instance of DatasourceFlowsDetails from a dict

Return type:: Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'cdc_tracking_method': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CDCTrackingMethod', alias_priority=2), 'create_dataset': FieldInfo(annotation=Union[Annotated[bool, Strict(strict=True)], NoneType], required=False, alias='CreateDataset', alias_priority=2), 'created_by': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CreatedBy', alias_priority=2), 'creation_time': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CreationTime', alias_priority=2), 'data_format': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='DataFormat', alias_priority=2), 'data_tranformation_confirguration': FieldInfo(annotation=Union[DatasourceFlowsDetailsDataTranformationConfirguration, NoneType], required=False, alias='DataTranformationConfirguration', alias_priority=2), 'dataflow_config': FieldInfo(annotation=Union[DatasourceFlowsDetailsDataflowConfig, NoneType], required=False, alias='DataflowConfig', alias_priority=2), 'dataflow_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='DataflowId', alias_priority=2), 'dataflow_name': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='DataflowName', alias_priority=2), 'dataflow_status': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='DataflowStatus', alias_priority=2), 'dataflow_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='DataflowType', alias_priority=2), 'dataset_details': FieldInfo(annotation=Union[List[DatasourceFlowsDetailsDatasetDetailsInner], NoneType], required=False, alias='DatasetDetails', alias_priority=2), 'datasource_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='DatasourceId', alias_priority=2), 'datasource_name': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='DatasourceName', alias_priority=2), 'file_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='FileType', alias_priority=2), 'ingestion_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='IngestionType', alias_priority=2), 'is_data_transformation_enabled': FieldInfo(annotation=Union[Annotated[bool, Strict(strict=True)], NoneType], required=False, alias='IsDataTransformationEnabled', alias_priority=2), 'items_config': FieldInfo(annotation=Union[List[DatasourceFlowsDetailsItemsConfigInner], NoneType], required=False, alias='ItemsConfig', alias_priority=2, description='Configuration for ArcGIS items to be processed'), 'last_modified_by': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LastModifiedBy', alias_priority=2), 'last_modified_time': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LastModifiedTime', alias_priority=2), 'message': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Message', alias_priority=2), 'process_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ProcessType', alias_priority=2), 'registered_datasets': FieldInfo(annotation=Union[List[Any], NoneType], required=False, alias='RegisteredDatasets', alias_priority=2), 'resource_origin': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ResourceOrigin', alias_priority=2), 'schedules': FieldInfo(annotation=Union[List[Any], NoneType], required=False, alias='Schedules', alias_priority=2), 'target_location': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='TargetLocation', alias_priority=2)}¶

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

model_post_init(__context)¶

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:

self (BaseModel) – The BaseModel instance.
__context (Any) – The context.

Return type:

None