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Cognitive Interview Room

Getting started

The following steps are all that should be required to getting a local server running. This will eventually be hosted in CISL.

  1. Set up environment

    • Install Git Bash
    • Install Node.js
    • Navigate to the folder holding the package.json file
    • run npm install
    • run npm install -g gulp
  2. run gulp build && npm start

Helpful links

These are some links that could be useful during development. Feel free to add to it.

IGNORE BELOW

Below is the original README. I'm leaving it there just in case.

Watson Conversation Service Chatbot Demo

This demo is based off of the [Watson Practitioner Assistant] (https://github.ibm.com/watson-practice/WEX-Practitioner-Assistant)

Running locally

  1. Set up environment

    • Install Git Bash
    • Install Node.js
    • Navigate to the folder holding the package.json file
    • run npm install
    • run npm install -g gulp
  2. Create/modify the .env.js script under the top level directory (same level as package.json)

    Sample .env.js file

    // this is formatted to echo the structure of the Bluemix credentials
    module.exports = {
        VCAP_SERVICES: JSON.stringify({
            conversation: [{
                credentials: {
                    url: "https://gateway.watsonplatform.net/conversation/api",
                    password: "<password>",
                    username: "<username>"
                }
            }],
            discovery: [{
              credentials: {
                url: "https://gateway.watsonplatform.net/discovery/api",
                username: "<username>",
                password: "<password>"
              }
            }]
        }),
        // conversation creds
        workspace_id: "<wid>",
        conversation_version: "<yyyy-mm-dd>",
        // disco creds
        environment_id: "<eid>",
        collection_id: "<cid>",
        discovery_version: "<yyyy-mm-dd>"
    };
  3. Fill in the credentials for your Conversation Service and Discovery Service instances in .env.js

  4. Change the url to that of your hostname within ui/modules/dialog-constants.js

    Local:

    url: {
        getWCSResponse: 'http://localhost:3000/api/message'
    }

    Bluemix:

    url: {
        getWCSResponse: 'http://<hostname>.mybluemix.net/api/message'
    }
  5. run gulp build && npm start

Deploying it on Bluemix##

  1. In the Bluemix console, create a new Node.js application

  2. Add a Conversation service instance to your new Node.js application through the Bluemix console by clicking on ADD A SERVICE OR API. Create and import a new workspace through the Conversation Service.

  3. If you have an already created Conversation service instance, you can bind that service through the Bluemix console by clicking on BIND A Service OR API

  4. Set user-defined environment variables on Bluemix console:

    Conversation Variables

    • WORKSPACE_ID - Your workspace id can be found by viewing the details of a workspace in your Conversation service dashboard
    • VERSION_DATE - Your version date is the last modified date in the details of your workspace

    Discovery Variables

    • discovery_username - Username of your Discovery Service
    • discovery_password - Password of your Discovery Service
    • discovery_version - Date your Discovery Service was created (if this is experimental, it was most likely 2016-11-07)
    • environment_id - Environment Id of your Discovery Service
    • collection_id - Collection Id of your Discovery Service
    • intent_confidence - Conversation Service Intent Confidence level between 0-1.0 to set before your input gets sent to Discovery Service
  5. On the command line, login to Bluemix

    $ bluemix api https://api.ng.bluemix.net
    $ bluemix login –u <username> -p <password>
    
  6. Modify the manifest.yml file. Please make sure that the app name and the host name is correct.

  7. Deploy it on the bluemix

    $ cf push <app-name>
    
  8. You could access your app via: https://<app-name>.mybluemix.net

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Cognitive Computing Final Project

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