ListVocabularies搭配使用 AWS SDK或 CLI - Amazon Transcribe

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ListVocabularies搭配使用 AWS SDK或 CLI

以下代码示例演示如何使用 ListVocabularies。

操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：

.NET
AWS SDK for .NET
注意

还有更多相关信息 GitHub。在中查找完整的示例，学习如何设置和运行 AWS 代码示例存储库。


    /// <summary>
    /// List custom vocabularies for the current account. Optionally specify a name
    /// filter and a specific state to filter the vocabularies list.
    /// </summary>
    /// <param name="nameContains">Optional string the vocabulary name must contain.</param>
    /// <param name="stateEquals">Optional state of the vocabulary.</param>
    /// <returns>List of information about the vocabularies.</returns>
    public async Task<List<VocabularyInfo>> ListCustomVocabularies(string? nameContains = null,
        VocabularyState? stateEquals = null)
    {
        var response = await _amazonTranscribeService.ListVocabulariesAsync(
            new ListVocabulariesRequest()
            {
                NameContains = nameContains,
                StateEquals = stateEquals
            });
        return response.Vocabularies;
    }

  • 有关API详细信息，请参阅ListVocabularies中的 AWS SDK for .NET API参考。

CLI
AWS CLI

列出自定义词汇表

以下list-vocabularies示例列出了与您的相关联的自定义词汇表 AWS 账户和区域。

aws transcribe list-vocabularies

输出：

{
    "NextToken": "NextToken",
    "Vocabularies": [
        {
            "VocabularyName": "ards-test-1",
            "LanguageCode": "language-code",
            "LastModifiedTime": "2020-04-27T22:00:27.330000+00:00",
            "VocabularyState": "READY"
        },
        {
            "VocabularyName": "sample-test",
            "LanguageCode": "language-code",
            "LastModifiedTime": "2020-04-24T23:04:11.044000+00:00",
            "VocabularyState": "READY"
        },
        {
            "VocabularyName": "CRLF-to-LF-test-3-1",
            "LanguageCode": "language-code",
            "LastModifiedTime": "2020-04-24T22:12:22.277000+00:00",
            "VocabularyState": "READY"
        },
        {
            "VocabularyName": "CRLF-to-LF-test-2",
            "LanguageCode": "language-code",
            "LastModifiedTime": "2020-04-24T21:53:50.455000+00:00",
            "VocabularyState": "READY"
        },
        {
            "VocabularyName": "CRLF-to-LF-1-1",
            "LanguageCode": "language-code",
            "LastModifiedTime": "2020-04-24T21:39:33.356000+00:00",
            "VocabularyState": "READY"
        }
    ]
}

有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的自定义词汇表。

  • 有关API详细信息，请参阅ListVocabularies中的 AWS CLI 命令参考。

Python
SDK适用于 Python (Boto3)
注意

还有更多相关信息 GitHub。在中查找完整的示例，学习如何设置和运行 AWS 代码示例存储库。

def list_vocabularies(vocabulary_filter, transcribe_client):
    """
    Lists the custom vocabularies created for this AWS account.

    :param vocabulary_filter: The returned vocabularies must contain this string in
                              their names.
    :param transcribe_client: The Boto3 Transcribe client.
    :return: The list of retrieved vocabularies.
    """
    try:
        response = transcribe_client.list_vocabularies(NameContains=vocabulary_filter)
        vocabs = response["Vocabularies"]
        next_token = response.get("NextToken")
        while next_token is not None:
            response = transcribe_client.list_vocabularies(
                NameContains=vocabulary_filter, NextToken=next_token
            )
            vocabs += response["Vocabularies"]
            next_token = response.get("NextToken")
        logger.info(
            "Got %s vocabularies with filter %s.", len(vocabs), vocabulary_filter
        )
    except ClientError:
        logger.exception(
            "Couldn't list vocabularies with filter %s.", vocabulary_filter
        )
        raise
    else:
        return vocabs

  • 有关API详细信息，请参阅ListVocabularies中的 AWS SDK供参考 Python (Boto3) API。

有关完整列表 AWS SDK开发者指南和代码示例，请参阅将此服务与 AWS SDK 配合使用。本主题还包括有关入门的信息以及有关先前SDK版本的详细信息。