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Watson APIs Java SDK

Deprecated builds

Java client library to use the Watson APIs.

Announcements

Tone Analyzer Deprecation

As of this major release, 10.0.1, the Tone Analyzer API has been removed in preparation for deprecation. If you wish to continue using this sdk to make calls to Tone Analyzer until its final deprecation, you will have to use a previous version. On 24 February 2022, IBM announced the deprecation of the Tone Analyzer service. The service will no longer be available as of 24 February 2023. As of 24 February 2022, you will not be able to create new instances. Existing instances will be supported until 24 February 2023. As an alternative, we encourage you to consider migrating to the Natural Language Understanding service on IBM Cloud. With Natural Language Understanding, tone analysis is done by using a pre-built classifications model, which provides an easy way to detect language tones in written text. For more information, see Migrating from Watson Tone Analyzer Customer Engagement endpoint to Natural Language Understanding.

Natural Language Classifier Deprecation

As of this major release, 10.0.1, the NLC API has been removed in preparation for deprecation. If you wish to continue using this sdk to make calls to NLC until its final deprecation, you will have to use a previous version. On 9 August 2021, IBM announced the deprecation of the Natural Language Classifier service. The service will no longer be available from 8 August 2022. As of 9 September 2021, you will not be able to create new instances. Existing instances will be supported until 8 August 2022. Any instance that still exists on that date will be deleted. As an alternative, we encourage you to consider migrating to the Natural Language Understanding service on IBM Cloud that uses deep learning to extract data and insights from text such as keywords, categories, sentiment, emotion, and syntax, along with advanced multi-label text classification capabilities, to provide even richer insights for your business or industry. For more information, see Migrating to Natural Language Understanding.

Updating endpoint URLs from watsonplatform.net

Watson API endpoint URLs at watsonplatform.net are changing and will not work after 26 May 2021. Update your calls to use the newer endpoint URLs. For more information, see https://cloud.ibm.com/docs/watson?topic=watson-endpoint-change.

Before you begin

You need an IBM Cloud account.

Installation

Maven

All the services:

<dependency>
	<groupId>com.ibm.watson</groupId>
	<artifactId>ibm-watson</artifactId>
	<version>10.0.1</version>
</dependency>

Only Discovery:

<dependency>
	<groupId>com.ibm.watson</groupId>
	<artifactId>discovery</artifactId>
	<version>10.0.1</version>
</dependency>

Gradle

All the services:

'com.ibm.watson:ibm-watson:10.0.1'

Only Assistant:

'com.ibm.watson:assistant:10.0.1'

Now, you are ready to see some examples.

Usage

The examples within each service assume that you already have service credentials. If not, you will have to create a service in IBM Cloud.

If you are running your application in IBM Cloud (or other platforms based on Cloud Foundry), you don't need to specify the credentials; the library will get them for you by looking at the VCAP_SERVICES environment variable.

Running in IBM Cloud

When running in IBM Cloud (or other platforms based on Cloud Foundry), the library will automatically get the credentials from VCAP_SERVICES. If you have more than one plan, you can use CredentialUtils to get the service credentials for an specific plan.

Authentication

Watson services are migrating to token-based Identity and Access Management (IAM) authentication.

As of v9.2.1, the preferred approach of initializing an authenticator is the builder pattern. This pattern supports constructing the authenticator with only the properties that you need. Also, if you're authenticating to a Watson service on Cloud Pak for Data that supports IAM, you must use the builder pattern.

You can initialize the authenticator with either of the following approaches:
- In the builder of the authenticator (builder pattern).
- In the constructor of the authenticator (deprecated, but still available).
With some service instances, you authenticate to the API by using IAM.
In other instances, you authenticate by providing the username and password for the service instance.
If you're using a Watson service on Cloud Pak for Data, you'll need to authenticate in a specific way.

Getting credentials

To find out which authentication to use, view the service credentials. You find the service credentials for authentication the same way for all Watson services:

Go to the IBM Cloud Dashboard page.
Either click an existing Watson service instance in your resource list or click Create resource > AI and create a service instance.
Click on the Manage item in the left nav bar of your service instance.

On this page, you should be able to see your credentials for accessing your service instance.

In your code, you can use these values in the service constructor or with a method call after instantiating your service.

Supplying credentials

There are two ways to supply the credentials you found above to the SDK for authentication.

Credential file (easier!)

With a credential file, you just need to put the file in the right place and the SDK will do the work of parsing it and authenticating. You can get this file by clicking the Download button for the credentials in the Manage tab of your service instance.

The file downloaded will be called ibm-credentials.env. This is the name the SDK will search for and must be preserved unless you want to configure the file path (more on that later). The SDK will look for your ibm-credentials.env file in the following places (in order):

Your system's home directory
The top-level directory of the project you're using the SDK in

As long as you set that up correctly, you don't have to worry about setting any authentication options in your code. So, for example, if you created and downloaded the credential file for your Discovery instance, you just need to do the following:

Discovery service = new Discovery("2019-04-30");

And that's it!

If you're using more than one service at a time in your code and get two different ibm-credentials.env files, just put the contents together in one ibm-credentials.env file and the SDK will handle assigning credentials to their appropriate services.

If you would like to configure the location/name of your credential file, you can set an environment variable called IBM_CREDENTIALS_FILE. This will take precedence over the locations specified above. Here's how you can do that:

export IBM_CREDENTIALS_FILE="<path>"

where <path> is something like /home/user/Downloads/<file_name>.env.

Manually

If you'd prefer to set authentication values manually in your code, the SDK supports that as well. The way you'll do this depends on what type of credentials your service instance gives you.

IAM

Some services use token-based Identity and Access Management (IAM) authentication. IAM authentication uses a service API key to get an access token that is passed with the call. Access tokens are valid for approximately one hour and must be regenerated.

You supply either an IAM service API key or an access token:

Use the API key to have the SDK manage the lifecycle of the access token. The SDK requests an access token, ensures that the access token is valid, and refreshes it if necessary.
Use the access token if you want to manage the lifecycle yourself. For details, see Authenticating with IAM tokens.

Supplying the IAM API key:

Builder pattern approach:

// letting the SDK manage the IAM token
Authenticator authenticator = new IamAuthenticator.Builder()
            .apikey("<iam_api_key>")
            .build();
Discovery service = new Discovery("2019-04-30", authenticator);

Deprecated constructor approach:

// letting the SDK manage the IAM token
Authenticator authenticator = new IamAuthenticator("<iam_api_key>");
Discovery service = new Discovery("2019-04-30", authenticator);

Supplying the access token:

// assuming control of managing IAM token
Authenticator authenticator = new BearerTokenAuthenticator("<access_token>");
Discovery service = new Discovery("2019-04-30", authenticator);

Username and password

Builder pattern approach:

Authenticator authenticator = new BasicAuthenticator.Builder()
            .username("<username>")
            .password("<password>")
            .build();
Discovery service = new Discovery("2019-04-30", authenticator);

Deprecated constructor approach:

Authenticator authenticator = new BasicAuthenticator("<username>", "<password>");
Discovery service = new Discovery("2019-04-30", authenticator);

ICP

Authenticating with ICP is similar to the basic username and password method, except that you need to make sure to disable SSL verification to authenticate properly. See here for more information.

Authenticator authenticator = new BasicAuthenticator("<username>", "<password>");
Discovery service = new Discovery("2019-04-30", authenticator);

HttpConfigOptions options = new HttpConfigOptions.Builder()
  .disableSslVerification(true)
  .build();

service.configureClient(options);

Cloud Pak for Data

Like IAM, you can pass in credentials to let the SDK manage an access token for you or directly supply an access token to do it yourself.

Builder pattern approach:

// letting the SDK manage the token
Authenticator authenticator = new CloudPakForDataAuthenticator.Builder()
            .url("<CP4D token exchange base URL>")
            .username("<username>")
            .password("<password>")
            .disableSSLVerification(true)
            .headers(null)
            .build();
Discovery service = new Discovery("2019-04-30", authenticator);
service.setServiceUrl("<service CP4D URL>");

Deprecated constructor approach:

// letting the SDK manage the token
Authenticator authenticator = new CloudPakForDataAuthenticator(
  "<CP4D token exchange base URL>",
  "<username>",
  "<password>",
  true, // disabling SSL verification
  null,
);
Discovery service = new Discovery("2019-04-30", authenticator);
service.setServiceUrl("<service CP4D URL>");

// assuming control of managing the access token
Authenticator authenticator = new BearerTokenAuthenticator("<access_token>");
Discovery service = new Discovery("2019-04-30", authenticator);
service.setServiceUrl("<service CP4D URL>");

Be sure to both disable SSL verification when authenticating and set the endpoint explicitly to the URL given in Cloud Pak for Data.

Using the SDK

Parsing responses

No matter which method you use to make an API request (execute(), enqueue(), or reactiveRequest()), you'll get back an object of form Response<T>, where T is the model representing the specific response model.

Here's an example of how to parse that response and get additional information beyond the response model:

// listing our workspaces with an instance of the Assistant v1 service
Response<WorkspaceCollection> response = service.listWorkspaces().execute();

// pulling out the specific API method response, which we can manipulate as usual
WorkspaceCollection collection = response.getResult();
System.out.println("My workspaces: " + collection.getWorkspaces());

// grabbing headers that came back with our API response
Headers responseHeaders = response.getHeaders();
System.out.println("Response header names: " + responseHeaders.names());

Configuring the HTTP client

The HTTP client can be configured by using the setProxy() method on your authenticator and using the configureClient() method on your service object, passing in an HttpConfigOptions object. For a full list of configurable options look at this linked Builder class for HttpConfigOptions. Currently, the following options are supported:

Disabling SSL verification (only do this if you really mean to!) ⚠️
Setting gzip compression
Setting max retry and retry interval
Using a proxy (more info here: OkHTTPClient Proxy authentication how to?)
Setting HTTP logging verbosity

Here's an example of setting the above:

Proxy proxy = new Proxy(Proxy.Type.HTTP, new InetSocketAddress("proxyHost", 8080));
IamAuthenticator authenticator = new IamAuthenticator(apiKey);
authenticator.setProxy(proxy);

Discovery service = new Discovery("2019-04-30", authenticator);

// setting configuration options
HttpConfigOptions options = new HttpConfigOptions.Builder()
  .disableSslVerification(true)
  .proxy(proxy)
  .loggingLevel(HttpConfigOptions.LoggingLevel.BASIC)
  .build();

service.configureClient(options);

Making asynchronous API calls

The basic, synchronous way to make API calls with this SDK is through the use of the execute() method. Using this method looks something like this:

// make API call
Response<ListEnvironmentsResponse> response = service.listEnvironments().execute();

// continue execution

However, if you need to perform these calls in the background, there are two other methods to do this asynchronously: enqueue() and reactiveRequest().

`enqueue()`

This method allows you to set a callback for the service response through the use of the ServiceCallback object. Here's an example:

// make API call in the background
service.listEnvironments().enqueue(new ServiceCallback<ListEnvironmentsResponse>() {
  @Override
  public void onResponse(Response<ListEnvironmentsResponse> response) {
    System.out.println("We did it! " + response);
  }

  @Override
  public void onFailure(Exception e) {
    System.out.println("Whoops...");
  }
});

// continue working in the meantime!

`reactiveRequest()`

If you're a fan of the RxJava library, this method lets you leverage that to allow for "reactive" programming. The method will return a Single<T> which you can manipulate how you please. Example:

// get stream with request
Single<Response<ListEnvironmentsResponse>> observableRequest
  = service.listEnvironments().reactiveRequest();

// make API call in the background
observableRequest
  .subscribeOn(Schedulers.single())
  .subscribe(response -> System.out.println("We did it with s~t~r~e~a~m~s! " + response));

// continue working in the meantime!

Default headers

Default headers can be specified at any time by using the setDefaultHeaders(Map<String, String> headers) method.

The example below sends the X-Watson-Learning-Opt-Out header in every request preventing Watson from using the payload to improve the service.

PersonalityInsights service = new PersonalityInsights("2017-10-13", new NoAuthAuthenticator());

Map<String, String> headers = new HashMap<String, String>();
headers.put(WatsonHttpHeaders.X_WATSON_LEARNING_OPT_OUT, "true");

service.setDefaultHeaders(headers);

// All the api calls from now on will send the default headers

Sending request headers

Custom headers can be passed with any request. To do so, add the header to the ServiceCall object before executing the request. For example, this is what it looks like to send the header Custom-Header along with a call to the Watson Assistant service:

Response<WorkspaceCollection> workspaces = service.listWorkspaces()
  .addHeader("Custom-Header", "custom_value")
  .execute();

Canceling requests

It's possible that you may want to cancel a request you make to a service. For example, you may set some timeout threshold and just want to cancel an asynchronous if it doesn't respond in time. You can do that by calling the cancel() method on your ServiceCall object. For example:

// time to consider timeout (in ms)
long timeoutThreshold = 3000;

// storing ServiceCall object we'll use to list our Assistant v1 workspaces
ServiceCall<WorkspaceCollection> call = service.listWorkspaces();

long startTime = System.currentTimeMillis();
call.enqueue(new ServiceCallback<WorkspaceCollection>() {
  @Override
  public void onResponse(Response<WorkspaceCollection> response) {
    // store the result somewhere
    fakeDb.store("my-key", response.getResult());
  }

  @Override
  public void onFailure(Exception e) {
    System.out.println("The request failed :(");
  }
});

// keep waiting for the call to complete while we're within the timeout bounds
while ((fakeDb.retrieve("my-key") == null) && (System.currentTimeMillis() - startTime < timeoutThreshold)) {
  Thread.sleep(500);
}

// if we timed out and it's STILL not complete, we'll just cancel the call
if (fakeDb.retrieve("my-key") == null) {
    call.cancel();
}

Doing so will call your onFailure() implementation.

Transaction IDs

Every SDK call returns a response with a transaction ID in the X-Global-Transaction-Id header. This transaction ID is useful for troubleshooting and accessing relevant logs from your service instance.

Assistant service = new Assistant("2019-02-28");
ListWorkspacesOptions options = new ListWorkspacesOptions.Builder().build();
Response<WorkspaceCollection> response;

try {
  // In a successful case, you can grab the ID with the following code.
  response = service.listWorkspaces(options).execute();
  String transactionId = response.getHeaders().values("X-Global-Transaction-Id").get(0);
} catch (ServiceResponseException e) {
  // This is how you get the ID from a failed request.
  // Make sure to use the ServiceResponseException class or one of its subclasses!
  String transactionId = e.getHeaders().values("X-Global-Transaction-Id").get(0);
}

However, the transaction ID isn't available when the API doesn't return a response for some reason. In that case, you can set your own transaction ID in the request. For example, replace <my-unique-transaction-id> in the following example with a unique transaction ID.

Authenticator authenticator = new IamAuthenticator("apiKey");
service = new Assistant("{version-date}", authenticator);
service.setServiceUrl("{serviceUrl}");

Map<String, String> headers = new HashMap<>();
headers.put("X-Global-Transaction-Id", "<my-unique-transaction-id>");
service.setDefaultHeaders(headers);

MessageOptions options = new MessageOptions.Builder(workspaceId).build();
MessageResponse result = service.message(options).execute().getResult();

FAQ

Does this SDK play well with Android?

It does! You should be able to plug this dependency into your Android app without any issue. In addition, we have an Android SDK meant to be used with this library that adds some Android-specific functionality, which you can find here.

How can I contribute?

Great question (and please do)! You can find contributing information here.

Where can I get more help with using Watson APIs?

If you have issues with the APIs or have a question about the Watson services, see Stack Overflow.

Does IBM have any other open source work?

We do 😎 http://ibm.github.io/

Featured projects

We'd love to highlight cool open-source projects that use this SDK! If you'd like to get your project added to the list, feel free to make an issue linking us to it.