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page_type description products languages extensions urlFragment
sample
Demonstrating the feature of typeahead search (static and dynamic) control in Adaptive Cards sent using bot.
office-teams
office
office-365
nodejs
contentType createdDate
samples
12/24/2021 12:00:00 AM
officedev-microsoft-teams-samples-bot-type-ahead-search-adaptive-cards-nodejs

Typeahead search control in Adaptive Cards Node.js

This sample shows the feature of typeahead search (static and dynamic) control in Adaptive Cards.

Included Features

  • Bots
  • Adaptive Cards (typeahead search)

Interaction with bot

Bot Typeahead Search Adaptive Cards

Try it yourself - experience the App in your Microsoft Teams client

Please find below demo manifest which is deployed on Microsoft Azure and you can try it yourself by uploading the app package (.zip file link below) to your teams and/or as a personal app. (Sideloading must be enabled for your tenant, see steps here).

Typeahead search control in Adaptive Cards: Manifest

Prerequisites

  • Microsoft Teams is installed and you have an account
  • NodeJS
  • ngrok or equivalent tunnelling solution

Setup

  1. Register a new application in the Azure Active Directory – App Registrations portal.

  2. Setup for Bot

  • In Azure portal, create a Azure Bot resource.
  • Ensure that you've enabled the Teams Channel
  • While registering the bot, use https://<your_ngrok_url>/api/messages as the messaging endpoint. NOTE: When you create app registration, you will create an App ID and App password - make sure you keep these for later.
  1. Setup NGROK
  • Run ngrok - point to port 3978

    ngrok http 3978 --host-header="localhost:3978"
  1. Setup for code
  • Clone the repository

    git clone https://github.com/OfficeDev/Microsoft-Teams-Samples.git
  • Update the .env configuration for the bot to use the MicrosoftAppId and MicrosoftAppPassword (Note the MicrosoftAppId is the AppId created in step 1 (Setup for Bot), the MicrosoftAppPassword is referred to as the "client secret" in step 1 (Setup for Bot) and you can always create a new client secret anytime.)

-Also, set MicrosoftAppType in the .env. (Allowed values are: MultiTenant(default), SingleTenant, UserAssignedMSI)

  • In a terminal, navigate to samples/bot-type-ahead-search-adaptive-cards/nodejs

  • Install modules

    npm install
  • Run your bot at the command line:

    npm start
  • This step is specific to Teams.

    • Edit the manifest.json contained in the appPackage folder to replace your Microsoft App Id (that was created when you registered your bot earlier) everywhere you see the place holder string <<YOUR-MICROSOFT-APP-ID>> (depending on the scenario the Microsoft App Id may occur multiple times in the manifest.json)
    • Edit the manifest.json for validDomains with base Url domain. E.g. if you are using ngrok it would be https://1234.ngrok-free.app then your domain-name will be 1234.ngrok-free.app.
    • Zip up the contents of the appPackage folder to create a manifest.zip (Make sure that zip file does not contains any subfolder otherwise you will get error while uploading your .zip package)
    • Upload the manifest.zip to Teams (In Teams Apps/Manage your apps click "Upload an app". Browse to and Open the .zip file. At the next dialog, click the Add button.)
    • Add the app in personal/groupchat/team scope (supported scopes)

Note: If you are facing any issue in your app, please uncomment this line and put your debugger for local debug.

Running the sample

Use the bot command staticsearch to get the card with static typeahead search control and use bot command dynamicsearch to get the card with dynamic typeahead search control.

Static search: Static typeahead search allows users to search from values specified within input.choiceset in the Adaptive Card payload.

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Dynamic search: Dynamic typeahead search is useful to search and select data from large data sets. The data sets are loaded dynamically from the dataset specified in the card payload.

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On Submit button click, the bot will return the choice that we have selected.

Deploy the bot to Azure

To learn more about deploying a bot to Azure, see Deploy your bot to Azure for a complete list of deployment instructions.

Further reading