def batch_detect_sentiment(
self,
text_list: "capo_comprehend.types.customer_input_string_list.CustomerInputStringList",
language_code: "capo_comprehend.types.language_code.LanguageCode",
*,
config_overrides: Optional[ComprehendClientConfig] = None,
) -> "capo_comprehend.types.batch_detect_sentiment_response.BatchDetectSentimentResponse":
"""<p>Inspects a batch of documents and returns an inference of the prevailing sentiment, <code>POSITIVE</code>, <code>NEUTRAL</code>, <code>MIXED</code>, or <code>NEGATIVE</code>, in each one.</p>
Args:
text_list: <p>A list containing the UTF-8 encoded text of the input documents. The list can contain a maximum of 25 documents. The maximum size of each document 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.batch_size_limit_exceeded_exception.BatchSizeLimitExceededException: <p>The number of documents in the request exceeds the limit of 25. Try your request again with fewer documents.</p>
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.
"""
def _handler(
req: "OperationRequest[capo_comprehend.types.batch_detect_sentiment_request.BatchDetectSentimentRequest]",
) -> OperationResponse[
"capo_comprehend.types.batch_detect_sentiment_response.BatchDetectSentimentResponse"
]:
import capo_comprehend._operations.comprehend_20171127.batch_detect_sentiment
output, http_response = (
capo_comprehend._operations.comprehend_20171127.batch_detect_sentiment.batch_detect_sentiment(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
def _redact_input(
input_: "capo_comprehend.types.batch_detect_sentiment_request.BatchDetectSentimentRequest",
) -> dict[str, Any]:
import capo_comprehend.types.batch_detect_sentiment_request
return (
capo_comprehend.types.batch_detect_sentiment_request.redact_sensitive(
input_
)
)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("BatchDetectSentiment", redact_input=_redact_input),
)
input_: capo_comprehend.types.batch_detect_sentiment_request.BatchDetectSentimentRequest = {
"text_list": text_list,
"language_code": language_code,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output