This middleware plugin for Botkit allows developers to easily integrate a Watson Conversation workspace with multiple social channels like Slack, Facebook, and Twilio. Customers can have simultaneous, independent conversations with a single workspace through different channels.
- Automatically manages context in multi-turn conversations to keep track of where the user left off in the conversation.
- Allows greater flexibility in message handling.
- Handles external databases for context storage.
- Easily integrates with third-party services.
- Exposes the following functions to developers:
receive
: used as middleware in Botkit.interpret
: an alias ofreceive
, used in message-filtering and implementing app actions.sendToWatson
: another alias ofreceive
, use the one that looks the best in context.hear
: used for intent matching.updateContext
: used in implementing app actions.before
: pre-process requests before sending to Watson Conversation (Conversation).after
: post-process responses before forwarding them to Botkit.
$ npm install botkit-middleware-watson --save
The middleware needs you to provide the username
, password
, and workspace_id
of your Watson Conversation chat bot. If you have an existing Conversation service instance, follow these steps to get your credentials.
If you do not have a Conversation service instance, follow these steps to get started.
This document shows code snippets for using a Slack bot with the middleware. (If you want examples for the other channels, see the examples/multi-bot folder. The multi-bot example app shows how to connect to Slack, Facebook, and Twilio IPM bots running on a single Express server.)
You need a Slack token for your Slack bot to talk to Conversation.
If you have an existing Slack bot, then copy the Slack token from your Slack settings page.
Otherwise, follow Botkit's instructions to create your Slack bot from scratch. When your bot is ready, you are provided with a Slack token.
This section walks you through code snippets to set up your Slack bot. If you want, you can jump straight to the full example.
In your app, add the following lines to create your Slack controller using Botkit:
var slackController = Botkit.slackbot();
Spawn a Slack bot using the controller:
var slackBot = slackController.spawn({
token: YOUR_SLACK_TOKEN
});
Create the middleware object which you'll use to connect to the Conversation service:
var watsonMiddleware = require('botkit-middleware-watson')({
username: YOUR_CONVERSATION_USERNAME,
password: YOUR_CONVERSATION_PASSWORD,
workspace_id: YOUR_WORKSPACE_ID,
version_date: '2017-05-26',
minimum_confidence: 0.50, // (Optional) Default is 0.75
});
Tell your Slackbot to use the watsonMiddleware for incoming messages:
slackController.middleware.receive.use(watsonMiddleware.receive);
slackBot.startRTM();
Finally, make your bot listen to incoming messages and respond with Watson Conversation:
slackController.hears(['.*'], ['direct_message', 'direct_mention', 'mention'], function(bot, message) {
if (message.watsonError) {
bot.reply(message, "I'm sorry, but for technical reasons I can't respond to your message");
} else {
bot.reply(message, message.watsonData.output.text.join('\n'));
}
});
The middleware attaches the watsonData
object to message. This contains the text response from Conversation.
If any error happened in middleware, error is assigned to watsonError
property of the message.
Then you're all set!
When middleware is registered, the receive function is triggered on every message. If you would like to make your bot to only respond to direct messages using Conversation, you can achieve this in 2 ways:
slackController.hears(['.*'], ['direct_message'], function(bot, message) {
middleware.interpret(bot, message, function() {
if (message.watsonError) {
bot.reply(message, "I'm sorry, but for technical reasons I can't respond to your message");
} else {
bot.reply(message, message.watsonData.output.text.join('\n'));
}
});
});
var receiveMiddleware = function (bot, message, next) {
if (message.type === 'direct_message') {
watsonMiddleware.receive(bot, message, next);
} else {
next();
}
};
slackController.middleware.receive.use(receiveMiddleware);
Conversation side of app action is documented in Developer Cloud A common scenario of processing actions is
- Send message to user "Please wait while I ..."
- Perform action
- Persist results in conversation context
- Send message to Watson with updated context
- Send result message(s) to user.
Before v1.4.0 only middleware.after callback can update context, and only controller can send replies to user. The downside is that it is impossible to send "Please wait message".
function checkBalance(watsonResponse, callback) {
//middleware.after function must pass a complete Watson respose to callback
watsonResponse.context.validAccount = true;
watsonResponse.context.accountBalance = 95.33;
callback(null, watsonResponse);
}
watsonMiddleware.after = function(message, watsonResponse, callback) {
//real action happens in middleware.after
if (typeof watsonResponse !== 'undefined' && typeof watsonResponse.output !== 'undefined') {
if (watsonResponse.output.action === 'check_balance') {
return checkBalance(watsonResponse, callback);
}
}
callback(null, watsonResponse);
};
var processWatsonResponse = function(bot, message) {
if (message.watsonError) {
return bot.reply(message, "I'm sorry, but for technical reasons I can't respond to your message");
}
if (typeof message.watsonData.output !== 'undefined') {
//send "Please wait" to users
bot.reply(message, message.watsonData.output.text.join('\n'));
if (message.watsonData.output.action === 'check_balance') {
var newMessage = clone(message);
newMessage.text = 'balance result';
//send to watson
watsonMiddleware.interpret(bot, newMessage, function() {
//send results to user
processWatsonResponse(bot, newMessage);
});
}
}
};
controller.on('message_received', processWatsonResponse);
Since 1.4.0 it is possible to update context from controller code.
function checkBalance(context, callback) {
//this version of function updates only the context object
context.validAccount = true;
context.accountBalance = 95.33;
callback(null, watsonResponse);
}
Promise.promisifyAll(watsonMiddleware);
var checkBalanceAsync = Promise.promisify(checkBalance);
var processWatsonResponse = function (bot, message) {
if (message.watsonError) {
return bot.reply(message, "I'm sorry, but for technical reasons I can't respond to your message");
}
if (typeof message.watsonData.output !== 'undefined') {
//send "Please wait" to users
bot.reply(message, message.watsonData.output.text.join('\n'));
if (message.watsonData.output.action === 'check_balance') {
var newMessage = clone(message);
newMessage.text = 'balance result';
//check balance
checkBalanceAsync(message.watsonData.context).then(function (context) {
//update context in storage
return watsonMiddleware.updateContextAsync(message.user, context);
}).then(function () {
//send message to watson (it reads updated context from storage)
return watsonMiddleware.sendToWatsonAsync(bot, newMessage);
}).catch(function (error) {
newMessage.watsonError = error;
}).then(function () {
//send results to user
return processWatsonResponse(bot, newMessage);
});
}
}
};
controller.on('message_received', processWatsonResponse);
The Watson middleware also includes a hear()
function which provides a mechanism to
developers to fire handler functions based on the most likely intent of the user.
This allows a developer to create handler functions for specific intents in addition
to using the data provided by Watson to power the conversation.
The hear()
function can be used on individual handler functions, or can be used globally.
Used on an individual handler:
slackController.hears(['hello'], ['direct_message', 'direct_mention', 'mention'], watsonMiddleware.hear, function(bot, message) {
bot.reply(message, message.watsonData.output.text.join('\n'));
// now do something special related to the hello intent
});
Used globally:
slackController.changeEars(watsonMiddleware.hear);
slackController.hears(['hello'], ['direct_message', 'direct_mention', 'mention'], function(bot, message) {
bot.reply(message, message.watsonData.output.text.join('\n'));
// now do something special related to the hello intent
});
The before and after callbacks can be used to perform some tasks before and after Conversation is called. One may use it to modify the request/response payloads, execute business logic like accessing a database or making calls to external services.
They can be customized as follows:
middleware.before = function(message, conversationPayload, callback) {
// Code here gets executed before making the call to Conversation.
callback(null, customizedPayload);
}
middleware.after = function(message, conversationResponse, callback) {
// Code here gets executed after the call to Conversation.
callback(null, conversationResponse);
}
This library is licensed under Apache 2.0. Full license text is available in LICENSE.