Starts replication for a stopped Source Server. This action would make the Source Server protected again and restart billing for it.
Parameters:
-
source_server_id
(SourceServerID)
–
The ID of the Source Server to start replication for.
Raises:
Source code in docs_src/capo_drs/_services/drs.py
| def start_replication(
self,
source_server_id: "capo_drs.types.source_server_id.SourceServerID",
*,
config_overrides: Optional[drsClientConfig] = None,
) -> "capo_drs.types.start_replication_response.StartReplicationResponse":
"""<p>Starts replication for a stopped Source Server. This action would make the Source Server protected again and restart billing for it.</p>
Args:
source_server_id: <p>The ID of the Source Server to start replication for.</p>
Raises:
capo_drs.errors.conflict_exception.ConflictException: <p>The request could not be completed due to a conflict with the current state of the target resource.</p>
capo_drs.errors.internal_server_exception.InternalServerException: <p>The request processing has failed because of an unknown error, exception or failure.</p>
capo_drs.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource for this operation was not found.</p>
capo_drs.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
capo_drs.errors.uninitialized_account_exception.UninitializedAccountException: <p>The account performing the request has not been initialized.</p>
capo_drs.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_drs.types.start_replication_request.StartReplicationRequest]",
) -> OperationResponse[
"capo_drs.types.start_replication_response.StartReplicationResponse"
]:
import capo_drs._operations.elastic_disaster_recovery_service.start_replication
output, http_response = (
capo_drs._operations.elastic_disaster_recovery_service.start_replication.start_replication(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
def _redact_output(
output: "capo_drs.types.start_replication_response.StartReplicationResponse",
) -> dict[str, Any]:
import capo_drs.types.start_replication_response
return capo_drs.types.start_replication_response.redact_sensitive(output)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("StartReplication", redact_output=_redact_output),
)
input_: capo_drs.types.start_replication_request.StartReplicationRequest = {
"source_server_id": source_server_id
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|