搭ListVocabularies配 AWS SDK或使用 CLI - AWS SDK 程式碼範例

AWS 文檔 AWS SDK示例 GitHub 回購中有更多SDK示例。

本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

搭ListVocabularies配 AWS SDK或使用 CLI

下列程式碼範例會示範如何使用ListVocabularies。

動作範例是大型程式的程式碼摘錄，必須在內容中執行。您可以在下列程式碼範例的內容中看到此動作：

.NET
AWS SDK for .NET
注意

還有更多關於 GitHub。尋找完整範例，並了解如何在AWS 設定和執行程式碼範例儲存庫。


    /// <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;
    }

  • 如需詳API細資訊，請參閱AWS SDK for .NET API參考ListVocabularies中的。

CLI
AWS CLI

列出您的自訂詞彙

下列list-vocabularies範例會列出與您的 AWS 帳戶和地區相關聯的自訂字彙。

aws transcribe list-vocabularies

輸出：

{
    "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"
        }
    ]
}

如需詳細資訊，請參閱《Amazon Transcribe 開發人員指南》中的自訂詞彙。

  • 如需詳API細資訊，請參閱AWS CLI 指令參考ListVocabularies中的。

Python
SDK對於 Python（肉毒桿菌 3）
注意

還有更多關於 GitHub。尋找完整範例，並了解如何在AWS 設定和執行程式碼範例儲存庫。

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

  • 如需詳API細資訊，請參閱ListVocabularies中AWS SDK的《Python (博多 3) API 參考》。