create_vocabulary ¶

def create_vocabulary(
    self,
    instance_id: "capo_connect.types.instance_id.InstanceId",
    vocabulary_name: "capo_connect.types.vocabulary_name.VocabularyName",
    language_code: "capo_connect.types.vocabulary_language_code.VocabularyLanguageCode",
    content: "capo_connect.types.vocabulary_content.VocabularyContent",
    *,
    config_overrides: Optional[ConnectClientConfig] = None,
    client_token: Optional["capo_connect.types.client_token.ClientToken"] = None,
    tags: Optional["capo_connect.types.tag_map.TagMap"] = None,
) -> "capo_connect.types.create_vocabulary_response.CreateVocabularyResponse":
    """<p>Creates a custom vocabulary associated with your Connect Customer instance. You can set a custom vocabulary to be your default vocabulary for a given language. Contact Lens for Connect Customer uses the default vocabulary in post-call and real-time contact analysis sessions for that language.</p>

    Args:
        client_token: <p>A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. If not provided, the Amazon Web Services SDK populates this field. For more information about idempotency, see <a href="https://aws.amazon.com/builders-library/making-retries-safe-with-idempotent-APIs/">Making retries safe with idempotent APIs</a>. If a create request is received more than once with same client token, subsequent requests return the previous response without creating a vocabulary again.</p>
        instance_id: <p>The identifier of the Connect Customer instance. You can <a href="https://docs.aws.amazon.com/connect/latest/adminguide/find-instance-arn.html">find the instance ID</a> in the Amazon Resource Name (ARN) of the instance.</p>
        vocabulary_name: <p>A unique name of the custom vocabulary.</p>
        language_code: <p>The language code of the vocabulary entries. For a list of languages and their corresponding language codes, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/transcribe-whatis.html">What is Amazon Transcribe?</a> </p>
        content: <p>The content of the custom vocabulary in plain-text format with a table of values. Each row in the table represents a word or a phrase, described with <code>Phrase</code>, <code>IPA</code>, <code>SoundsLike</code>, and <code>DisplayAs</code> fields. Separate the fields with TAB characters. The size limit is 50KB. For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/custom-vocabulary.html#create-vocabulary-table">Create a custom vocabulary using a table</a>.</p>
        tags: <p>The tags used to organize, track, or control access for this resource. For example, { "Tags": {"key1":"value1", "key2":"value2"} }.</p>

    Raises:
        capo_connect.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient permissions to perform this action.</p>
        capo_connect.errors.internal_service_exception.InternalServiceException: <p>Request processing failed because of an error or failure with the service.</p>
        capo_connect.errors.invalid_request_exception.InvalidRequestException: <p>The request is not valid.</p>
        capo_connect.errors.resource_conflict_exception.ResourceConflictException: <p>A resource already has that name.</p>
        capo_connect.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
        capo_connect.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>The service quota has been exceeded.</p>
        capo_connect.errors.throttling_exception.ThrottlingException: <p>The throttling limit has been exceeded.</p>
        capo_connect.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_connect.types.create_vocabulary_request.CreateVocabularyRequest]",
    ) -> OperationResponse[
        "capo_connect.types.create_vocabulary_response.CreateVocabularyResponse"
    ]:
        import capo_connect._operations.amazon_connect_service.create_vocabulary

        output, http_response = (
            capo_connect._operations.amazon_connect_service.create_vocabulary.create_vocabulary(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CreateVocabulary")
    )
    input_: capo_connect.types.create_vocabulary_request.CreateVocabularyRequest = {
        "instance_id": instance_id,
        "vocabulary_name": vocabulary_name,
        "language_code": language_code,
        "content": content,
    }
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token
    if tags is not None:
        input_["tags"] = tags

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