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start_workspaces

start_workspaces(
    start_workspace_requests: StartWorkspaceRequests,
    *,
    config_overrides: Optional[WorkSpacesClientConfig] = None,
) -> StartWorkspacesResult

Starts the specified WorkSpaces.

You cannot start a WorkSpace unless it has a running mode of AutoStop or Manual and a state of STOPPED.

Parameters:

  • start_workspace_requests (StartWorkspaceRequests) –

    The WorkSpaces to start. You can specify up to 25 WorkSpaces.

Raises:

Source code in docs_src/capo_workspaces/_services/work_spaces.py
def start_workspaces(
    self,
    start_workspace_requests: "capo_workspaces.types.start_workspace_requests.StartWorkspaceRequests",
    *,
    config_overrides: Optional[WorkSpacesClientConfig] = None,
) -> "capo_workspaces.types.start_workspaces_result.StartWorkspacesResult":
    """<p>Starts the specified WorkSpaces.</p> <p>You cannot start a WorkSpace unless it has a running mode of <code>AutoStop</code> or <code>Manual</code> and a state of <code>STOPPED</code>.</p>

    Args:
        start_workspace_requests: <p>The WorkSpaces to start. You can specify up to 25 WorkSpaces.</p>

    Raises:
        capo_workspaces.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_workspaces.types.start_workspaces_request.StartWorkspacesRequest]",
    ) -> OperationResponse[
        "capo_workspaces.types.start_workspaces_result.StartWorkspacesResult"
    ]:
        import capo_workspaces._operations.workspaces_service.start_workspaces

        output, http_response = (
            capo_workspaces._operations.workspaces_service.start_workspaces.start_workspaces(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("StartWorkspaces")
    )
    input_: capo_workspaces.types.start_workspaces_request.StartWorkspacesRequest = {
        "start_workspace_requests": start_workspace_requests
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output