Skip to content

📊 Sample Node.js Application for the IBM Watson Tradeoff Analytics Service

Notifications You must be signed in to change notification settings

raphaelarias/tradeoff-analytics-nodejs

 
 

Repository files navigation

Tradeoff Analytics Node Starter Application Build Status

The IBM Watson Tradeoff Analytics service helps you make better choices under multiple conflicting goals. The service combines smart visualization and recommendations for tradeoff exploration.

Give it a try! Click the button below to fork into IBM DevOps Services and deploy your own copy of this application on Bluemix.

Deploy to Bluemix

Getting Started

  1. Create a Bluemix Account

    Sign up in Bluemix, or use an existing account.

  2. Download and install the Cloud-foundry CLI tool

  3. Edit the manifest.yml file and change the <application-name> to something unique.

applications:
- services:
  - tradeoff-analytics-standard-service
  name: <application-name>
  command: node app.js
  path: .
  memory: 256M

The name you use will determinate your application url initially, e.g. <application-name>.mybluemix.net.

  1. Connect to Bluemix in the command line tool.
$ cf api https://api.ng.bluemix.net
$ cf login -u <your user ID>
  1. Create the Tradeoff Analytics service in Bluemix.
$ cf create-service tradeoff_analytics standard tradeoff-analytics-standard-service
  1. Push it live!
$ cf push

See the full Getting Started documentation for more details, including code snippets and references.

Running locally

The application uses Node.js and npm so you will have to download and install them as part of the steps below.

  1. Copy the credentials from your tradeoff-analytics-standard-service service in Bluemix to app.js (or environment properties, or a .env file). You can see the credentials using:

    $ cf env <application-name>

    Example output:

    System-Provided:
    {
    "VCAP_SERVICES": {
      "tradeoff_analytics": [{
          "credentials": {
            "url": "<url>",
            "password": "<password>",
            "username": "<username>"
          },
        "label": "tradeoff-analytics",
        "name": "tradeoff-analytics-standard-service",
        "plan": "standard"
     }]
    }
    }

    You need to copy username, password and url.

  2. Install Node.js

  3. Go to the project folder in a terminal and run npm install

  4. Start the application: npm start

  5. Go to http://localhost:3000

Troubleshooting

To troubleshoot your Bluemix app the main useful source of information are the logs, to see them, run:

$ cf logs <application-name> --recent

Getting Help

If you get stuck, try dW Answers or Stack Overflow first, as you will generally get a faster response there. However, you may also file a ticket here, especially if you believe there is an issue is in the demo app itself.

License

This sample code is licensed under Apache 2.0. Full license text is available in LICENSE.

Contributing

See CONTRIBUTING.

Open Source @ IBM

Find more open source projects on the IBM Github Page

Privacy Notice

This node sample web application includes code to track deployments to Bluemix and other [Cloud Foundry] platforms. The following information is sent to a Deployment Tracker service on each deployment:

  • Application Name (application_name)
  • Space ID (space_id)
  • Application Version (application_version)
  • Application URIs (application_uris)

This data is collected from the VCAP_APPLICATION environment variable in IBM Bluemix and other Cloud Foundry platforms. This data is used by IBM to track metrics around deployments of sample applications to IBM Bluemix. Only deployments of sample applications that include code to ping the Deployment Tracker service will be tracked.

Disabling Deployment Tracking

Deployment tracking can be disabled by removing require('cf-deployment-tracker-client').track(); from the beginning of the server.js file at the root of this repo.

About

📊 Sample Node.js Application for the IBM Watson Tradeoff Analytics Service

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages

  • JavaScript 45.3%
  • CSS 43.2%
  • HTML 11.5%