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This sample app illustrates how to utilize action previews in Teams Messaging Extensions, allowing users to create cards from input in a Task Module. It showcases bot interactions that enhance user engagement by attributing messages to users.
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12-12-2019 13:38:25
officedev-microsoft-teams-samples-bot-msgext-action-preview-python

Teams Messaging Extensions Action Preview

Experience a hands-on demo of a Microsoft Teams bot utilizing Action-Based Messaging Extensions. This sample showcases the integration of card creation through user inputs in a Task Module, featuring interactive messaging, command execution, and full support for bot interactions.

Messaging Extensions are a special kind of Microsoft Teams application that is support by the Bot Framework v4.

There are two basic types of Messaging Extension in Teams: Search-based and Action-based. This sample illustrates how to build an Action Based Messaging Extension and demonstrates creating a simple card based on parameters entered by the user from a Task Module.

Included Features

  • Bots
  • Message Extensions
  • Action Commands

Interaction with Messaging Extension Action Preview

MsgExtAction

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).

Teams Messaging Extensions Action Preview: Manifest

Prerequisites

  • Microsoft Teams is installed and you have an account
  • Python SDK version 3.7
  • dev tunnel or ngrok latest version or equivalent tunnelling solution

To try this sample

Note these instructions are for running the sample on your local machine, the tunnelling solution is required because the Teams service needs to call into the bot.

  1. Clone the repository

    git clone https://github.com/OfficeDev/Microsoft-Teams-Samples.git

  2. Run ngrok - point to port 3978

    ngrok http 3978 --host-header="localhost:3978"

    Alternatively, you can also use the dev tunnels. Please follow Create and host a dev tunnel and host the tunnel with anonymous user access command as shown below:

    devtunnel host -p 3978 --allow-anonymous

  3. Create Bot Framework registration resource in Azure

    • Use the current https URL you were given by running the tunnelling application. Append with the path /api/messages used by this sample
    • Ensure that you've enabled the Teams Channel
    • If you don't have an Azure account you can use this Bot Framework registration

  4. Bring up a terminal, navigate to Microsoft-Teams-Samples\samples\msgext-action-preview\python folder

  5. Activate your desired virtual environment

  6. Install dependencies by running pip install -r requirements.txt in the project folder.

  7. Update the config.py configuration for the bot to use the Microsoft App Id and App Password from the Bot Framework registration. (Note the App Password is referred to as the "client secret" in the azure portal and you can always create a new client secret anytime.)

  8. This step is specific to Teams.

    • Edit the manifest.json contained in the appManifest 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)
    • Zip up the contents of the appManifest folder to create a manifest.zip
    • Upload the manifest.zip to Teams (in the Apps view click "Upload a custom app")

  9. Run your bot with python app.py

Interacting with the bot in Teams

Note the manifest.json specifies that this bot will be available in the team scope and the command will be available in the compose, commandBox and message contexts.

Click the Messaging Extension icon in the Compose Box's Messaging Extension menu.

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