start_content_upload async ¶

async def start_content_upload(
    self,
    knowledge_base_id: "capo_wisdom.types.uuid_or_arn.UuidOrArn",
    content_type: "capo_wisdom.types.content_type.ContentType",
    *,
    config_overrides: Optional[AsyncWisdomClientConfig] = None,
    presigned_url_time_to_live: Optional[
        "capo_wisdom.types.time_to_live.TimeToLive"
    ] = None,
) -> "capo_wisdom.types.start_content_upload_response.StartContentUploadResponse":
    """<p>Get a URL to upload content to a knowledge base. To upload content, first make a PUT request to the returned URL with your file, making sure to include the required headers. Then use <a href="https://docs.aws.amazon.com/wisdom/latest/APIReference/API_CreateContent.html">CreateContent</a> to finalize the content creation process or <a href="https://docs.aws.amazon.com/wisdom/latest/APIReference/API_UpdateContent.html">UpdateContent</a> to modify an existing resource. You can only upload content to a knowledge base of type CUSTOM.</p>

    Args:
        knowledge_base_id: <p>The identifier of the knowledge base. This should not be a QUICK_RESPONSES type knowledge base if you're storing Wisdom Content resource to it. Can be either the ID or the ARN. URLs cannot contain the ARN.</p>
        content_type: <p>The type of content to upload.</p>
        presigned_url_time_to_live: <p>The expected expiration time of the generated presigned URL, specified in minutes.</p>

    Raises:
        capo_wisdom.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_wisdom.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource does not exist.</p>
        capo_wisdom.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by a service.</p>
        capo_wisdom.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_wisdom.types.start_content_upload_request.StartContentUploadRequest]",
    ) -> AsyncOperationResponse[
        "capo_wisdom.types.start_content_upload_response.StartContentUploadResponse"
    ]:
        import capo_wisdom._operations.wisdom_service.start_content_upload

        (
            output,
            http_response,
        ) = await capo_wisdom._operations.wisdom_service.start_content_upload.async_start_content_upload(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_wisdom.types.start_content_upload_response.StartContentUploadResponse",
    ) -> dict[str, Any]:
        import capo_wisdom.types.start_content_upload_response

        return capo_wisdom.types.start_content_upload_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("StartContentUpload", redact_output=_redact_output),
    )
    input_: capo_wisdom.types.start_content_upload_request.StartContentUploadRequest = {
        "knowledge_base_id": knowledge_base_id,
        "content_type": content_type,
    }
    if presigned_url_time_to_live is not None:
        input_["presigned_url_time_to_live"] = presigned_url_time_to_live

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