Awesome
IBM Watson Ruby SDK
Deprecated builds
Ruby gem to quickly get started with the various IBM Watson services.
Announcements
Tone Analyzer Deprecation
As of this major release, 3.0.0, 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, 3.0.0, 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.
Support for 2.7 ruby
To support 2.7 the http gem dependency is updated to 4.4.0. Since it conflicted with the dependency in the ruby-sdk-core that gem was also updated. Using 2.0.2 or above ruby sdk will require a core of 1.1.3 or above.
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
Install the gem:
gem install ibm_watson
Install with development dependencies:
gem install --dev ibm_watson
Inside of your Ruby program do:
require "ibm_watson"
Examples
The examples folder has basic and advanced examples. The examples within each service assume that you already have service credentials.
Running in IBM Cloud
If you run your app in IBM Cloud, the SDK gets credentials from the VCAP_SERVICES
environment variable.
Authentication
Watson services are migrating to token-based Identity and Access Management (IAM) authentication.
- 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.
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.
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 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):
- The top-level directory of the project you're using the SDK in
- Your system's home directory
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 = DiscoveryV1(version: "2018-08-01")
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
IBM Cloud is migrating to 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
# In the constructor, letting the SDK manage the IAM token
authenticator = IBMWatson::Authenticators::IamAuthenticator.new(
apikey: "<iam_apikey>",
url: "<iam_url>" # optional - the default value is https://iam.cloud.ibm.com/identity/token
)
discovery = IBMWatson::DiscoveryV1.new(
version: "2017-10-16",
authenticator: authenticator
)
discover.service_url = "<service-url>" # setting service url
Supplying the access token
authenticator = IBMWatson::Authenticators::BearerTokenAuthenticator.new(
bearer_token: "<access_token>"
)
discovery = IBMWatson::DiscoveryV1.new(version: "2017-10-16", authenticator)
Username and password
require "ibm_watson"
require "ibm_cloud_sdk_core"
include IBMWatson
# In the constructor
authenticator = IBMWatson::Authenticators::BasicAuthenticator.new(
username: "<username>",
password: "<password>"
)
discovery = DiscoveryV1.new(
version: "2017-10-16",
authenticator: authenticator
)
Sending requests asynchronously
Requests can be sent asynchronously. There are two asynchronous methods available for the user, async
& await
. When used, these methods return an Ivar object.
- To call a method asynchronously, simply insert
.await
or.async
into the call:service.translate
would beservice.async.translate
- To access the response from an Ivar object called
future
, simply callfuture.value
When await
is used, the request is made synchronously.
authenticator = IBMWatson::Authenticators::BasicAuthenticator.new(
username: "<username>",
password: "<password>"
)
speech_to_text = IBMWatson::SpeechToTextV1.new(
authenticator: authenticator
)
audio_file = File.open(Dir.getwd + "/resources/speech.wav")
future = speech_to_text.await.recognize(
audio: audio_file
)
p future.complete? # If the request is successful, then this will be true
output = future.value # The response is accessible at future.value
When async
is used, the request is made asynchronously
authenticator = IBMWatson::Authenticators::BasicAuthenticator.new(
username: "<username>",
password: "<password>"
)
speech_to_text = IBMWatson::SpeechToTextV1.new(
authenticator: authenticator
)
audio_file = File.open(Dir.getwd + "/resources/speech.wav")
future = speech_to_text.async.recognize(
audio: audio_file
)
p future.complete? # Can be false if the request is still running
future.wait # Wait for the asynchronous call to finish
p future.complete? # If the request is successful, then this will now be true
output = future.value
Sending request headers
Custom headers can be passed in any request in the form of a Hash
as a parameter to the headers
chainable method. For example, to send a header called Custom-Header
to a call in Watson Assistant, pass the headers as a parameter to the headers
chainable method:
require "ibm_watson"
include IBMWatson
assistant = AssistantV1.new(
authenticator: "<authenticator>"
version: "2017-04-21"
)
response = assistant.headers(
"Custom-Header" => "custom_value"
).list_workspaces
Parsing HTTP response info
HTTP requests all return DetailedResponse
objects that have a result
, status
, and headers
require "ibm_watson"
include IBMWatson
assistant = AssistantV1.new(
authenticator: "<authenticator>"
version: "2017-04-21"
)
response = assistant.headers(
"Custom-Header" => "custom_value"
).list_workspaces
p "Status: #{response.status}"
p "Headers: #{response.headers}"
p "Result: #{response.result}"
This would give an output of DetailedResponse
having the structure:
Status: 200
Headers: "<http response headers>"
Result: "<response returned by service>"
Transaction IDs
Every SDK call returns a response with a transaction ID in the X-Global-Transaction-Id
header. Together the service instance region, this ID helps support teams troubleshoot issues from relevant logs.
require "ibm_watson"
include IBMWatson
assistant = AssistantV1.new(
authenticator: "<authenticator>"
version: "2017-04-21"
)
begin
response = assistant.list_workspaces
p "Global transaction id: #{response.headers["X-Global-Transaction-Id"]}"
rescue IBMCloudSdkCore::ApiException => e
# Global transaction on failed api call is contained in the error message
print "Error: ##{e}"
end
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.
require "ibm_watson"
include IBMWatson
assistant = AssistantV1.new(
authenticator: "<authenticator>"
version: "2017-04-21"
)
response = assistant.headers(
"X-Global-Transaction-Id" => "<my-unique-transaction-id>"
).list_workspaces
Configuring the HTTP client
To set client configs like timeout or proxy use the configure_http_client
function and pass in the configurations.
require "ibm_watson/assistant_v1"
include IBMWatson
assistant = AssistantV1.new(
authenticator: "<authenticator>"
version: "2018-07-10"
)
assistant.configure_http_client(
timeout: {
# Accepts either :per_operation or :global
per_operation: { # The individual timeouts for each operation
read: 5,
write: 7,
connect: 10
}
# global: 30 # The total timeout time
},
proxy: {
address: "bogus_address.com",
port: 9999,
username: "username",
password: "password",
headers: {
bogus_header: true
}
}
)
The HTTP client can be configured to disable SSL verification. Note that this has serious security implications - only do this if you really mean to! ⚠️
To do this, pass disable_ssl_verification
as true
in configure_http_client()
, like below:
require "ibm_watson/assistant_v1"
include IBMWatson
service = AssistantV1.new(
version: "<version>",
authenticator: "<authenticator>"
)
service.configure_http_client(disable_ssl_verification: true)
Using Websockets
The Speech-to-Text service supports websockets with the recognize_using_websocket
method. The method accepts a custom callback class. The eventmachine
loop that the websocket uses blocks the main thread by default. Here is an example of using the websockets method:
require "ibm_watson"
callback = IBMWatson::RecognizeCallback.new
audio_file = "<Audio File for Analysis>"
speech_to_text = IBMWatson::SpeechToTextV1.new(
username: "<username>",
password: "<password>"
)
websocket = speech_to_text.recognize_using_websocket(
audio: audio_file,
recognize_callback: callback,
interim_results: true
)
thr = Thread.new do # Start the websocket inside of a thread
websocket.start # Starts the websocket and begins sending audio to the server.
# The `callback` processes the data from the server
end
thr.join # Wait for the thread to finish before ending the program or running other code
Note: recognize_with_websocket
has been deprecated in favor of recognize_using_websocket
IBM Cloud Pak for Data(CP4D)
If your service instance is of ICP4D, below are two ways of initializing the assistant service.
Supplying the username
, password
, and url
The SDK will manage the token for the user
authenticator = IBMWatson::Authenticators::CloudPakForDataAuthenticator.new(
username: "<username>",
password: "<password>",
url: "<authentication url>",
disable_ssl: true
)
assistant = IBMWatson::AssistantV1.new(
version: "<version>",
authenticator: authenticator
)
Questions
If you have issues with the APIs or have a question about the Watson services, see Stack Overflow.
Ruby version
Tested on:
- MRI Ruby (RVM): 2.5.1, 2.6.1
- RubyInstaller (Windows x64): 2.5.1, 2.6.1
2.3.7 and 2.4.4 should still work but support will be deprecated in next major release.
Contributing
See CONTRIBUTING.md.
License
This library is licensed under the Apache 2.0 license.
Featured projects
Here are some projects that have been using the SDK:
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.