detect_sentiment async ¶

async def detect_sentiment(
    self,
    text: "capo_comprehend.types.customer_input_string.CustomerInputString",
    language_code: "capo_comprehend.types.language_code.LanguageCode",
    *,
    config_overrides: Optional[AsyncComprehendClientConfig] = None,
) -> "capo_comprehend.types.detect_sentiment_response.DetectSentimentResponse":
    """<p>Inspects text and returns an inference of the prevailing sentiment (<code>POSITIVE</code>, <code>NEUTRAL</code>, <code>MIXED</code>, or <code>NEGATIVE</code>). </p>

    Args:
        text: <p>A UTF-8 text string. The maximum string size is 5 KB.</p>
        language_code: <p>The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. All documents must be in the same language.</p>

    Raises:
        capo_comprehend.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
        capo_comprehend.errors.invalid_request_exception.InvalidRequestException: <p>The request is invalid.</p>
        capo_comprehend.errors.text_size_limit_exceeded_exception.TextSizeLimitExceededException: <p>The size of the input text exceeds the limit. Use a smaller document.</p>
        capo_comprehend.errors.unsupported_language_exception.UnsupportedLanguageException: <p>Amazon Comprehend can't process the language of the input text. For a list of supported languages, <a href="https://docs.aws.amazon.com/comprehend/latest/dg/supported-languages.html">Supported languages</a> in the Comprehend Developer Guide. </p>
        capo_comprehend.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_comprehend.types.detect_sentiment_request.DetectSentimentRequest]",
    ) -> AsyncOperationResponse[
        "capo_comprehend.types.detect_sentiment_response.DetectSentimentResponse"
    ]:
        import capo_comprehend._operations.comprehend_20171127.detect_sentiment

        (
            output,
            http_response,
        ) = await capo_comprehend._operations.comprehend_20171127.detect_sentiment.async_detect_sentiment(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_comprehend.types.detect_sentiment_request.DetectSentimentRequest",
    ) -> dict[str, Any]:
        import capo_comprehend.types.detect_sentiment_request

        return capo_comprehend.types.detect_sentiment_request.redact_sensitive(
            input_
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("DetectSentiment", redact_input=_redact_input),
    )
    input_: capo_comprehend.types.detect_sentiment_request.DetectSentimentRequest = {
        "text": text,
        "language_code": language_code,
    }

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