HclGetWorkflowRunResponseBody

pydantic model openapi_client.models.hcl_get_workflow_run_response_body.HclGetWorkflowRunResponseBody

Workflow run details, or action-specific payload (tasks list, PresignedURL for logs).

Fields:

• completed_on (str | None)

• hcls_workflow_id (str | None)

• marker (str | None)

• message (str | None)

• next_available (str | None)

• omics_workflow_run_id (str | None)

• presigned_url (str | None)

• s3_log_path (str | None)

• started_by (str | None)

• started_on (str | None)

• storage_capacity (int | None)

• tasks (List[openapi_client.models.hcl_get_workflow_run_response_body_tasks_inner.HclGetWorkflowRunResponseBodyTasksInner] | None)

• workflow_run_id (str | None)

• workflow_run_log_level (str | None)

• workflow_run_name (str | None)

• workflow_run_params (Dict[str, Any] | None)

• workflow_run_status (str | None)

field omics_workflow_run_id: Optional[StrictStr] = None (alias 'OmicsWorkflowRunId')

Underlying AWS Omics run id.

field hcls_workflow_id: Optional[StrictStr] = None (alias 'HclsWorkflowId')

Parent Amorphic workflow id.

field workflow_run_id: Optional[StrictStr] = None (alias 'WorkflowRunId')

Amorphic workflow run id.

field workflow_run_status: Optional[StrictStr] = None (alias 'WorkflowRunStatus')

Run status (e.g. pending, running, completed, failed, cancelled).

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

field workflow_run_name: Optional[StrictStr] = None (alias 'WorkflowRunName')

field started_on: Optional[StrictStr] = None (alias 'StartedOn')

field storage_capacity: Optional[StrictInt] = None (alias 'StorageCapacity')

Storage capacity in GB used for the run.

field workflow_run_params: Optional[Dict[str, Any]] = None (alias 'WorkflowRunParams')

field workflow_run_log_level: Optional[StrictStr] = None (alias 'WorkflowRunLogLevel')

field completed_on: Optional[StrictStr] = None (alias 'CompletedOn')

field started_by: Optional[StrictStr] = None (alias 'StartedBy')

field presigned_url: Optional[StrictStr] = None (alias 'PresignedURL')

Presigned URL for logs when action is get_logs or download_logs.

field s3_log_path: Optional[StrictStr] = None (alias 'S3LogPath')

S3 key/path of aggregated run logs when available.

field tasks: Optional[List[HclGetWorkflowRunResponseBodyTasksInner]] = None

Present when action=list_run_tasks.

field marker: Optional[StrictStr] = None

Pagination marker for list_run_tasks.

field next_available: Optional[StrictStr] = None

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 HclGetWorkflowRunResponseBody 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 HclGetWorkflowRunResponseBody from a dict

Return type:

Optional[Self]