DataPipelineExecutionResponseNodesInner

class openapi_client.models.data_pipeline_execution_response_nodes_inner.DataPipelineExecutionResponseNodesInner(**data)

Bases: BaseModel

module_type: Optional[StrictStr]

node_name: Optional[StrictStr]

run_id: Optional[StrictStr]

error_message: Optional[StrictStr]

resource: Optional[DataPipelineNodesInnerResource]

arguments: Optional[Dict[str, Dict[str, Any]]]

started_on: Optional[StrictStr]

completed_on: Optional[StrictStr]

execution_time: Optional[Union[StrictFloat, StrictInt]]

job_run_state: Optional[StrictStr]

attempt: Optional[StrictStr]

child_resource_name: Optional[StrictStr]

child_resource_execution_id: Optional[StrictStr]

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()

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 DataPipelineExecutionResponseNodesInner 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 DataPipelineExecutionResponseNodesInner from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'arguments': FieldInfo(annotation=Union[Dict[str, Dict[str, Any]], NoneType], required=False, alias='Arguments', alias_priority=2), 'attempt': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Attempt', alias_priority=2), 'child_resource_execution_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ChildResourceExecutionId', alias_priority=2), 'child_resource_name': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ChildResourceName', alias_priority=2), 'completed_on': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CompletedOn', alias_priority=2), 'error_message': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ErrorMessage', alias_priority=2), 'execution_time': FieldInfo(annotation=Union[Annotated[float, Strict(strict=True)], Annotated[int, Strict(strict=True)], NoneType], required=False, alias='ExecutionTime', alias_priority=2), 'job_run_state': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='JobRunState', alias_priority=2), 'module_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ModuleType', alias_priority=2), 'node_name': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='NodeName', alias_priority=2), 'resource': FieldInfo(annotation=Union[DataPipelineNodesInnerResource, NoneType], required=False, alias='Resource', alias_priority=2), 'run_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='RunId', alias_priority=2), 'started_on': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='StartedOn', 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