Gunakan ListVocabularies dengan AWS SDK atau CLI - AWS SDKContoh Kode

Ada lebih banyak AWS SDK contoh yang tersedia di GitHub repo SDKContoh AWS Dokumen.

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Gunakan ListVocabularies dengan AWS SDK atau CLI

Contoh kode berikut menunjukkan cara menggunakanListVocabularies.

Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut:

.NET
AWS SDK for .NET
catatan

Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara pengaturan dan menjalankannya di Repositori Contoh Kode AWS. 


    /// <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;
    }
CLI
AWS CLI

Untuk membuat daftar kosakata kustom Anda

list-vocabulariesContoh berikut mencantumkan kosakata kustom yang terkait dengan AWS akun dan Wilayah Anda.

aws transcribe list-vocabularies

Output:

{
    "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"
        }
    ]
}

Untuk informasi selengkapnya, lihat Kosakata Khusus di Panduan Pengembang Amazon Transcribe.

Python
SDKuntuk Python (Boto3)
catatan

Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara pengaturan dan menjalankannya di Repositori Contoh Kode AWS. 

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