use of com.ibm.watson.developer_cloud.speech_to_text.v1.model.RecognitionJob in project java-sdk by watson-developer-cloud.
the class SpeechToText method createJob.
/**
* Creates a job for an asynchronous recognition request.
*
* Creates a job for a new asynchronous recognition request. The job is owned by the user whose service credentials
* are used to create it. How you learn the status and results of a job depends on the parameters you include with the
* job creation request: * By callback notification: Include the `callback_url` query parameter to specify a URL to
* which the service is to send callback notifications when the status of the job changes. Optionally, you can also
* include the `events` and `user_token` query parameters to subscribe to specific events and to specify a string that
* is to be included with each notification for the job. * By polling the service: Omit the `callback_url`, `events`,
* and `user_token` query parameters. You must then use the `GET /v1/recognitions` or `GET /v1/recognitions/{id}`
* methods to check the status of the job, using the latter to retrieve the results when the job is complete. The two
* approaches are not mutually exclusive. You can poll the service for job status or obtain results from the service
* manually even if you include a callback URL. In both cases, you can include the `results_ttl` parameter to specify
* how long the results are to remain available after the job is complete. Note that using the HTTPS `GET
* /v1/recognitions/{id}` method to retrieve results is more secure than receiving them via callback notification over
* HTTP because it provides confidentiality in addition to authentication and data integrity. The method supports the
* same basic parameters as other HTTP and WebSocket recognition requests. The service imposes a data size limit of
* 100 MB. It automatically detects the endianness of the incoming audio and, for audio that includes multiple
* channels, downmixes the audio to one-channel mono during transcoding. (For the `audio/l16` format, you can specify
* the endianness.).
*
* @param createJobOptions the {@link CreateJobOptions} containing the options for the call
* @return a {@link ServiceCall} with a response type of {@link RecognitionJob}
*/
public ServiceCall<RecognitionJob> createJob(CreateJobOptions createJobOptions) {
Validator.notNull(createJobOptions, "createJobOptions cannot be null");
String[] pathSegments = { "v1/recognitions" };
RequestBuilder builder = RequestBuilder.post(RequestBuilder.constructHttpUrl(getEndPoint(), pathSegments));
builder.header("Content-Type", createJobOptions.contentType());
if (createJobOptions.model() != null) {
builder.query("model", createJobOptions.model());
}
if (createJobOptions.callbackUrl() != null) {
builder.query("callback_url", createJobOptions.callbackUrl());
}
if (createJobOptions.events() != null) {
builder.query("events", createJobOptions.events());
}
if (createJobOptions.userToken() != null) {
builder.query("user_token", createJobOptions.userToken());
}
if (createJobOptions.resultsTtl() != null) {
builder.query("results_ttl", String.valueOf(createJobOptions.resultsTtl()));
}
if (createJobOptions.customizationId() != null) {
builder.query("customization_id", createJobOptions.customizationId());
}
if (createJobOptions.acousticCustomizationId() != null) {
builder.query("acoustic_customization_id", createJobOptions.acousticCustomizationId());
}
if (createJobOptions.customizationWeight() != null) {
builder.query("customization_weight", String.valueOf(createJobOptions.customizationWeight()));
}
if (createJobOptions.version() != null) {
builder.query("version", createJobOptions.version());
}
if (createJobOptions.inactivityTimeout() != null) {
builder.query("inactivity_timeout", String.valueOf(createJobOptions.inactivityTimeout()));
}
if (createJobOptions.keywords() != null) {
builder.query("keywords", RequestUtils.join(createJobOptions.keywords(), ","));
}
if (createJobOptions.keywordsThreshold() != null) {
builder.query("keywords_threshold", String.valueOf(createJobOptions.keywordsThreshold()));
}
if (createJobOptions.maxAlternatives() != null) {
builder.query("max_alternatives", String.valueOf(createJobOptions.maxAlternatives()));
}
if (createJobOptions.wordAlternativesThreshold() != null) {
builder.query("word_alternatives_threshold", String.valueOf(createJobOptions.wordAlternativesThreshold()));
}
if (createJobOptions.wordConfidence() != null) {
builder.query("word_confidence", String.valueOf(createJobOptions.wordConfidence()));
}
if (createJobOptions.timestamps() != null) {
builder.query("timestamps", String.valueOf(createJobOptions.timestamps()));
}
if (createJobOptions.profanityFilter() != null) {
builder.query("profanity_filter", String.valueOf(createJobOptions.profanityFilter()));
}
if (createJobOptions.smartFormatting() != null) {
builder.query("smart_formatting", String.valueOf(createJobOptions.smartFormatting()));
}
if (createJobOptions.speakerLabels() != null) {
builder.query("speaker_labels", String.valueOf(createJobOptions.speakerLabels()));
}
builder.body(InputStreamRequestBody.create(MediaType.parse(createJobOptions.contentType()), createJobOptions.audio()));
return createServiceCall(builder.build(), ResponseConverterUtils.getObject(RecognitionJob.class));
}
Aggregations