npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@ibm-watson/assistant-simple

v1.6.1

Published

A simple Node.js based web app which shows how to use the Watson Assistant API to recognize user intents.

Downloads

21

Readme

Demo

You can view a demo of this app.

Please note this app uses the Watson Assistant V2 API. To access a version of the V1 app, you can go to v1.4.1.

If you need more information about the V1 API, you can go to the Watson Assistant V1 API page.

Prerequisites

  1. Sign up for an IBM Cloud account.
  2. Download the IBM Cloud CLI.
  3. Create an instance of the Watson Assistant service and get your credentials:
    • Go to the Watson Assistant page in the IBM Cloud Catalog.
    • Log in to your IBM Cloud account.
    • Click Create.
    • Click Show to view the service credentials.
    • Copy the apikey value, or copy the username and password values if your service instance doesn't provide an apikey.
    • Copy the url value.

Configuring the application

  1. In your IBM Cloud console, open the Watson Assistant service instance

  2. Click the Import workspace icon in the Watson Assistant service tool. Specify the location of the workspace JSON file in your local copy of the app project:

    <project_root>/training/bank_simple_workspace.json

  3. Select Everything (Intents, Entities, and Dialog) and then click Import. The car dashboard workspace is created.

  4. Click the menu icon in the upper-right corner of the workspace tile, and then select View details.

  5. Click the Copy icon to copy the workspace ID to the clipboard.

    Steps to get credentials

  6. In the application folder, copy the .env.example file and create a file called .env

    cp .env.example .env
  7. Open the .env file and add the service credentials that you obtained in the previous step. The Watson SDK automatically locates the correct environmental variables for either username, password, and url or the apikey and url credentials found in the .env file.

    Example .env file that configures the apikey and url for a Watson Assistant service instance hosted in the US East region:

    ASSISTANT_IAM_APIKEY=X4rbi8vwZmKpXfowaS3GAsA7vdy17Qhxxxxxxxx
    ASSISTANT_URL=https://gateway-wdc.watsonplatform.net/assistant/api
    • If your service instance uses username and password credentials, add the ASSISTANT_USERNAME and ASSISTANT_PASSWORD variables to the .env file.

    Example .env file that configures the username, password, and url for a Watson Assistant service instance hosted in the US South region:

    ASSISTANT_USERNAME=522be-7b41-ab44-dec3-xxxxxxxx
    ASSISTANT_PASSWORD=A4Z5BdGENxxxx
    ASSISTANT_URL=https://gateway.watsonplatform.net/assistant/api

    However, if your credentials contain an IAM API key, copy the apikey and url to the relevant fields.

      {
        "apikey": "ca2905e6-7b5d-4408-9192-xxxxxxxx",
        "iam_apikey_description": "Auto generated apikey during resource-key ...",
        "iam_apikey_name": "auto-generated-apikey-62b71334-3ae3-4609-xxxxxxxx",
        "iam_role_crn": "crn:v1:bluemix:public:iam::::serviceRole:Manager",
        "iam_serviceid_crn": "crn:v1:bluemix:public:iam...",
        "url": "https://gateway-syd.watsonplatform.net/assistant/api"
      }
    ASSISTANT_IAM_APIKEY=ca2905e6-7b5d-4408-9192-xxxxxxxx
  8. Add the ASSISTANT_ID to the previous properties

    ASSISTANT_ID=522be-7b41-ab44-dec3-xxxxxxxx

Running locally

  1. Install the dependencies

    npm install
  2. Run the application

    npm start
  3. View the application in a browser at localhost:3000

Deploying to IBM Cloud as a Cloud Foundry Application

  1. Login to IBM Cloud with the IBM Cloud CLI

    ibmcloud login
  2. Target a Cloud Foundry organization and space.

    ibmcloud target --cf
  3. Edit the manifest.yml file. Change the name field to something unique.
    For example, - name: my-app-name.

  4. Deploy the application

    ibmcloud app push
  5. View the application online at the app URL.
    For example: https://my-app-name.mybluemix.net

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.