iter_list_inference_events `async` ¶

iter_list_inference_events(
    inference_scheduler_name: InferenceSchedulerIdentifier,
    interval_start_time: Timestamp,
    interval_end_time: Timestamp,
    *,
    config_overrides: Optional[AsyncLookoutEquipmentClientConfig] = None,
    next_token: Optional[NextToken] = None,
    max_results: Optional[MaxResults] = None,
) -> AsyncIterator[ListInferenceEventsResponse]

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

async def iter_list_inference_events(
    self,
    inference_scheduler_name: "capo_lookoutequipment.types.inference_scheduler_identifier.InferenceSchedulerIdentifier",
    interval_start_time: "capo_lookoutequipment.types.timestamp.Timestamp",
    interval_end_time: "capo_lookoutequipment.types.timestamp.Timestamp",
    *,
    config_overrides: Optional[AsyncLookoutEquipmentClientConfig] = None,
    next_token: Optional["capo_lookoutequipment.types.next_token.NextToken"] = None,
    max_results: Optional[
        "capo_lookoutequipment.types.max_results.MaxResults"
    ] = None,
) -> "AsyncIterator[capo_lookoutequipment.types.list_inference_events_response.ListInferenceEventsResponse]":
    _token = next_token
    while True:
        _response = await self.list_inference_events(
            inference_scheduler_name,
            interval_start_time,
            interval_end_time,
            config_overrides=config_overrides,
            next_token=_token,
            max_results=max_results,
        )
        yield _response
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break

iter_list_inference_events async ¶

iter_list_inference_events `async` ¶