iter_list_inference_executions ¶

iter_list_inference_executions(
    inference_scheduler_name: InferenceSchedulerIdentifier,
    *,
    config_overrides: Optional[LookoutEquipmentClientConfig] = None,
    next_token: Optional[NextToken] = None,
    max_results: Optional[MaxResults] = None,
    data_start_time_after: Optional[Timestamp] = None,
    data_end_time_before: Optional[Timestamp] = None,
    status: Optional[InferenceExecutionStatus] = None,
) -> Iterator[ListInferenceExecutionsResponse]

Source code in docs_src/capo_lookoutequipment/_services/lookout_equipment.py

def iter_list_inference_executions(
    self,
    inference_scheduler_name: "capo_lookoutequipment.types.inference_scheduler_identifier.InferenceSchedulerIdentifier",
    *,
    config_overrides: Optional[LookoutEquipmentClientConfig] = None,
    next_token: Optional["capo_lookoutequipment.types.next_token.NextToken"] = None,
    max_results: Optional[
        "capo_lookoutequipment.types.max_results.MaxResults"
    ] = None,
    data_start_time_after: Optional[
        "capo_lookoutequipment.types.timestamp.Timestamp"
    ] = None,
    data_end_time_before: Optional[
        "capo_lookoutequipment.types.timestamp.Timestamp"
    ] = None,
    status: Optional[
        "capo_lookoutequipment.types.inference_execution_status.InferenceExecutionStatus"
    ] = None,
) -> "Iterator[capo_lookoutequipment.types.list_inference_executions_response.ListInferenceExecutionsResponse]":
    _token = next_token
    while True:
        _response = self.list_inference_executions(
            inference_scheduler_name,
            config_overrides=config_overrides,
            next_token=_token,
            max_results=max_results,
            data_start_time_after=data_start_time_after,
            data_end_time_before=data_end_time_before,
            status=status,
        )
        yield _response
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break