• Stars
    star
    586
  • Rank 76,279 (Top 2 %)
  • Language
    Java
  • License
    Apache License 2.0
  • Created over 9 years ago
  • Updated 8 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

🥇 Java SDK to use the IBM Watson services.

Watson APIs Java SDK

Build and Test Deploy and Publish Slack Maven Central CLA assistant All Contributors

Deprecated builds

Build Status

Java client library to use the Watson APIs.

Before you begin

Installation

Maven

All the services:

<dependency>
	<groupId>com.ibm.watson</groupId>
	<artifactId>ibm-watson</artifactId>
	<version>11.0.1</version>
</dependency>

Only Discovery:

<dependency>
	<groupId>com.ibm.watson</groupId>
	<artifactId>discovery</artifactId>
	<version>11.0.1</version>
</dependency>
Gradle

All the services:

'com.ibm.watson:ibm-watson:11.0.1'

Only Assistant:

'com.ibm.watson:assistant:11.0.1'

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:

  1. Go to the IBM Cloud Dashboard page.
  2. Either click an existing Watson service instance in your resource list or click Create resource > AI and create a service instance.
  3. 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.

Contributors ✨

Thanks goes to these wonderful people (emoji key):


Logan Patino

💻 🎨 🐛

Ajiemar Santiago

💻 🎨 🐛

German Attanasio

💻 🎨 📖 ⚠️

Kevin Kowalski

💻 🎨 🐛 📖 ⚠️ 💬️

Jeff Arn

💻 🎨 🐛 📖 ⚠️ 💬️

Angelo Paparazzi

💻 🎨 🐛 📖 ⚠️ 💬️ 🥷🏼

This project follows the all-contributors specification. Contributions of any kind welcome!

More Repositories

1

node-sdk

☄️ Node.js library to access IBM Watson services.
TypeScript
1,482
star
2

python-sdk

🐍 Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud
Python
1,452
star
3

speech-to-text-nodejs

🎤 Sample Node.js Application for the IBM Watson Speech to Text Service
JavaScript
1,086
star
4

swift-sdk

📱 The Watson Swift SDK enables developers to quickly add Watson Cognitive Computing services to their Swift applications.
Swift
880
star
5

unity-sdk

🎮 Unity SDK to use the IBM Watson services.
C#
570
star
6

personality-insights-nodejs

📊 Sample Nodejs Application for the IBM Watson Personality Insights Service
JavaScript
558
star
7

visual-recognition-coreml

Classify images offline using Watson Visual Recognition and Core ML
Swift
489
star
8

assistant-simple

A simple sample application demonstrating the Watson Assistant api.
JavaScript
482
star
9

tone-analyzer-nodejs

Sample Node.js Application for the IBM Tone Analyzer Service
CSS
452
star
10

text-to-speech-nodejs

This is a deprecated Watson Text to Speech Service Demo. A link to the newly supported demo is below
JavaScript
346
star
11

speech-javascript-sdk

Library for using the IBM Watson Speech to Text and Text to Speech services in web browsers.
JavaScript
256
star
12

node-red-labs

Node-RED labs on the use of the Watson Developer Cloud services
208
star
13

botkit-middleware

A middleware to connect Watson Conversation Service to different chat channels using Botkit
TypeScript
208
star
14

natural-language-classifier-nodejs

Deprecated: this demo will receive no further updates
JavaScript
158
star
15

dotnet-standard-sdk

🆕🆕🆕.NET Standard library to access Watson Services.
C#
146
star
16

android-sdk

🔆 Android SDK to use the IBM Watson services.
Java
145
star
17

assistant-with-discovery

DEPRECATED: this application is deprecated and thus will not receive fixes or security updates. It is archived for educational purposes, but may not function.
Java
145
star
18

natural-language-understanding-nodejs

🆕 Demo code for the Natural Language Understanding Service.
JavaScript
133
star
19

api-guidelines

👮 REST API guidelines created for the Watson Developer Cloud services
133
star
20

assistant-toolkit

Toolkit for experimentation with watsonx Assistant
HTML
100
star
21

car-dashboard

Application that demonstrates how the Watson Assistant service uses intent capabilities in an animated car dashboard UI.
JavaScript
91
star
22

node-red-node-watson

A collection of nodes for the IBM Watson services
HTML
83
star
23

discovery-nodejs

This is a deprecated Watson Discovery Service Demo. A link to the newly supported demo is below
JavaScript
76
star
24

go-sdk

🐭 go SDK for the IBM Watson services.
Go
71
star
25

assistant-improve-recommendations-notebook

Assistant Improve notebooks for Watson Assistant
Jupyter Notebook
68
star
26

investment-advisor

DEPRECATED: this repo is no longer actively maintained
JavaScript
66
star
27

speech-android-sdk

DEPRECATED - Please use https://github.com/watson-developer-cloud/android-sdk
Java
66
star
28

dialog-tool

DEPRECATED: this repo is no longer actively maintained
CSS
60
star
29

doc-tutorial-downloads

The download files from the IBM Watson Service documentation tutorials
Shell
57
star
30

language-translator-nodejs

Sample Node.js Application for the IBM Language Translator Service
CSS
51
star
31

sentiment-and-emotion

DEPRECATED: this repo is no longer actively maintained
CSS
50
star
32

simple-chat-swift

DEPRECATED: this repo is no longer actively maintained
Swift
48
star
33

ruby-sdk

♦️ Ruby SDK to use the IBM Watson services.
Ruby
45
star
34

raspberry-pi-speech-to-text

DEPRECATED: this repo is no longer actively maintained
JavaScript
44
star
35

food-coach

DEPRECATED: this repo is no longer actively maintained
JavaScript
39
star
36

assistant-skill-analysis

Dialog Skill Analysis framework for Watson Assistant
Jupyter Notebook
39
star
37

community

Example data that can be used for various Watson services
Shell
34
star
38

speech-to-text-swift

Speech-to-Text example using the Swift SDK
Swift
34
star
39

visual-recognition-code-pattern

JavaScript
33
star
40

react-components

DEPRECATED: this repo is no longer actively maintained
JavaScript
31
star
41

assistant-dialog-flow-analysis

Dialog Flow Analysis Notebook for Watson Assistant
HTML
28
star
42

salesforce-sdk

A Salesforce library for communicating with the IBM Watson REST APIs
Apex
28
star
43

conversation-connector

The Conversation connector is a set of components that mediate communication between your Conversation workspace and a Slack or Facebook app. Use the connector to deploy a chat bot that Slack or Facebook Messenger users can interact with.
JavaScript
27
star
44

document-conversion-nodejs

DEPRECATED: Please use https://github.com/watson-developer-cloud/discovery-nodejs
JavaScript
27
star
45

text-to-speech-java

DEPRECATED: this repo is no longer actively maintained
CSS
27
star
46

assistant-web-chat-service-desk-starter

A starter kit for building custom service desk integrations for Watson Assistant web chat
TypeScript
25
star
47

raspberry-pi-time-weather-demo

DEPRECATED: this repo is no longer actively maintained
JavaScript
24
star
48

assistant-demo

Assistant demo
JavaScript
23
star
49

discovery-starter-kit

IBM Watson Discovery Starter Kit
JavaScript
22
star
50

assistant-intermediate

An intermediate example of Watson Assistant in a Node.js application
JavaScript
22
star
51

discovery-components

IBM Watson Discovery components
TypeScript
22
star
52

assistant-with-discovery-openwhisk

DEPRECATED: this repo is no longer actively maintained
CSS
21
star
53

company-insights

DEPRECATED: this repo is no longer actively maintained
JavaScript
20
star
54

text-to-speech-swift

DEPRECATED: this repo is no longer actively maintained
Swift
20
star
55

social-customer-care

DEPRECATED: this repo is no longer actively maintained
CSS
19
star
56

speech-to-text-websockets-ruby

Ruby client that interacts with the IBM Watson Speech to Text service through its WebSockets interface
Ruby
19
star
57

customer-engagement-bot

DEPRECATED: this repo is no longer actively maintained
JavaScript
18
star
58

abap-sdk-nwas

ABAP code for using IBM Watson Developer Services with SAP NetWeaver Application Server, imported via abapGit
ABAP
18
star
59

assistant-web-chat

Language strings for web chat integration of IBM watsonx assistant
JavaScript
16
star
60

python-primer-companion-code

DEPRECATED: this repo is no longer actively maintained
Python
15
star
61

spring-boot-starter

Spring Boot support for Watson services
Java
13
star
62

personality-insights-java

DEPRECATED: this repo is no longer actively maintained
CSS
13
star
63

watson-developer-cloud.github.io

Index page with links to SDKs, docs, etc.
HTML
13
star
64

simple-chat-objective-c

DEPRECATED: this repo is no longer actively maintained
Objective-C
12
star
65

text-bot-openwhisk

DEPRECATED: this repo is no longer actively maintained
JavaScript
12
star
66

ui-components

DEPRECATED: this repo is no longer actively maintained
CSS
12
star
67

openwhisk-sdk

🆕 SDK for using Watson Services on IBM Cloud Functions (based on Apache Openwhisk) - DEPRECATED
JavaScript
12
star
68

app-insights-discovery

DEPRECATED: this repo is no longer actively maintained
Swift
10
star
69

customer-engagement-nodejs

Customer Engagement
JavaScript
10
star
70

token-generator

Basic Node.js Server to generate watson auth tokens from user-supplied credentials.
JavaScript
6
star
71

watson-vision-coreml-code-pattern

Watson Visual Recognition CoreML Code Pattern
CSS
5
star
72

abap-sdk-scp

ABAP code for using IBM Watson Developer Services with SAP Cloud Platform, imported via abapGit with dependencies via APACK
ABAP
5
star
73

restkit

Core networking and authentication library for the Watson Swift SDK
Swift
4
star
74

cognitive-client-java

DEPRECATED: this repo is no longer actively maintained
Java
4
star
75

speech-to-text-utils

Speech to text CLI that helps you manage speech customizations.
JavaScript
4
star
76

homebrew-tools

DEPRECATED: this repo is no longer actively maintained
Ruby
3
star
77

language-translator-tooling

DEPRECATED: this repo is no longer actively maintained
JavaScript
2
star
78

natural-language-classifier-intent-classification-demo

Deprecated
JavaScript
2
star
79

discovery-nodejs-static

Sample Node.js application that uses the IBM Watson Discovery Service
JavaScript
2
star
80

natural-language-understanding-code-pattern

Natural Language Understanding Code Pattern
JavaScript
2
star
81

speech-to-text-code-pattern

React app using the Watson Speech to Text service to transform voice audio into written text.
JavaScript
2
star
82

swift-playgrounds

Swift playgrounds for Watson Developer Cloud services
Swift
2
star
83

sdk-example-editor

Web application that helps edit SDK examples from an OpenAPI file.
JavaScript
1
star
84

actions-logging-server

HTML
1
star
85

Watson-Assistant-Workspace-Retrain

Python
1
star
86

actions-analytics-dashboard

JavaScript
1
star
87

assistant-web-chat-react

A React library to make integration of Watson Assistant web chat with a React application easy.
TypeScript
1
star
88

visual-recognition-utils

Command line tools to make creating & managing Watson Visual Recognition Custom Classifiers easier.
JavaScript
1
star