ScheduleExecution

pydantic model openapi_client.models.schedule_execution.ScheduleExecution

One schedule execution record

Fields:
field schedule_id: Optional[StrictStr] = None (alias 'ScheduleId')

Parent schedule ID.

field execution_id: Optional[StrictStr] = None (alias 'ExecutionId')

Execution identifier.

field resource: Optional[StrictStr] = None (alias 'Resource')

Target resource for the run.

field job_type: Optional[StrictStr] = None (alias 'JobType')

Job category when present.

field state: Optional[StrictStr] = None (alias 'State')

Execution state.

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

Status/detail message for the execution.

field start_time: Optional[StrictStr] = None (alias 'StartTime')

Execution start time.

field end_time: Optional[StrictStr] = None (alias 'EndTime')

Execution end time (sort key for list).

field job_args: Optional[Dict[str, Any]] = None (alias 'JobArgs')

Arguments used for the run when present.

field log_url: Optional[StrictStr] = None (alias 'LogUrl')

Optional log URL for the run.

field estimated_cost: Optional[StrictStr] = None (alias 'EstimatedCost')

Optional estimated cost for the run.

field extra_metadata: Optional[ScheduleExecutionExtraMetadata] = None (alias 'ExtraMetadata')
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 ScheduleExecution 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 ScheduleExecution from a dict

Return type:

Optional[Self]