GetDrInformationResponseS3Details

pydantic model openapi_client.models.get_dr_information_response_s3_details.GetDrInformationResponseS3Details

Always includes these four keys. Each value is either {Timestamp, Value} for the latest CloudWatch datapoint or {} when none was returned.

Fields:

• bytes_pending_replication (openapi_client.models.dr_information_metric_sample.DrInformationMetricSample | None)

• operations_failed_replication (openapi_client.models.dr_information_metric_sample.DrInformationMetricSample | None)

• operations_pending_replication (openapi_client.models.dr_information_metric_sample.DrInformationMetricSample | None)

• replication_latency (openapi_client.models.dr_information_metric_sample.DrInformationMetricSample | None)

field replication_latency: Optional[DrInformationMetricSample] = None (alias 'ReplicationLatency')

field bytes_pending_replication: Optional[DrInformationMetricSample] = None (alias 'BytesPendingReplication')

field operations_pending_replication: Optional[DrInformationMetricSample] = None (alias 'OperationsPendingReplication')

field operations_failed_replication: Optional[DrInformationMetricSample] = None (alias 'OperationsFailedReplication')

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 GetDrInformationResponseS3Details 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 GetDrInformationResponseS3Details from a dict

Return type:

Optional[Self]