create_streaming_url async ¶

async def create_streaming_url(
    self,
    *,
    config_overrides: Optional[AsyncAppStreamClientConfig] = None,
    stack_name: Optional["capo_appstream.types.string.String"] = None,
    fleet_name: Optional["capo_appstream.types.string.String"] = None,
    user_id: Optional[
        "capo_appstream.types.streaming_url_user_id.StreamingUrlUserId"
    ] = None,
    application_id: Optional["capo_appstream.types.string.String"] = None,
    validity: Optional["capo_appstream.types.long.Long"] = None,
    session_context: Optional["capo_appstream.types.string.String"] = None,
) -> "capo_appstream.types.create_streaming_url_result.CreateStreamingURLResult":
    """<p>Creates a temporary URL to start an WorkSpaces Applications streaming session for the specified user. A streaming URL enables application streaming to be tested without user setup. </p>

    Args:
        stack_name: <p>The name of the stack.</p>
        fleet_name: <p>The name of the fleet.</p>
        user_id: <p>The identifier of the user.</p>
        application_id: <p>The name of the application to launch after the session starts. This is the name that you specified as <b>Name</b> in the Image Assistant. If your fleet is enabled for the <b>Desktop</b> stream view, you can also choose to launch directly to the operating system desktop. To do so, specify <b>Desktop</b>.</p>
        validity: <p>The time that the streaming URL will be valid, in seconds. Specify a value between 1 and 604800 seconds. The default is 60 seconds.</p>
        session_context: <p>The session context. For more information, see <a href="https://docs.aws.amazon.com/appstream2/latest/developerguide/managing-stacks-fleets.html#managing-stacks-fleets-parameters">Session Context</a> in the <i>Amazon WorkSpaces Applications Administration Guide</i>.</p>

    Raises:
        capo_appstream.errors.invalid_parameter_combination_exception.InvalidParameterCombinationException: <p>Indicates an incorrect combination of parameters, or a missing parameter.</p>
        capo_appstream.errors.operation_not_permitted_exception.OperationNotPermittedException: <p>The attempted operation is not permitted.</p>
        capo_appstream.errors.resource_not_available_exception.ResourceNotAvailableException: <p>The specified resource exists and is not in use, but isn't available.</p>
        capo_appstream.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
        capo_appstream.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_appstream.types.create_streaming_url_request.CreateStreamingURLRequest]",
    ) -> AsyncOperationResponse[
        "capo_appstream.types.create_streaming_url_result.CreateStreamingURLResult"
    ]:
        import capo_appstream._operations.photon_admin_proxy_service.create_streaming_url

        (
            output,
            http_response,
        ) = await capo_appstream._operations.photon_admin_proxy_service.create_streaming_url.async_create_streaming_url(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CreateStreamingURL")
    )
    input_: capo_appstream.types.create_streaming_url_request.CreateStreamingURLRequest = {}
    if stack_name is not None:
        input_["stack_name"] = stack_name
    if fleet_name is not None:
        input_["fleet_name"] = fleet_name
    if user_id is not None:
        input_["user_id"] = user_id
    if application_id is not None:
        input_["application_id"] = application_id
    if validity is not None:
        input_["validity"] = validity
    if session_context is not None:
        input_["session_context"] = session_context

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output