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This sample app illustrates a Teams bot that performs link unfurling using Java and the Bot Framework v4. |
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officedev-microsoft-teams-samples-bot-msgext-link-unfurling-java |
This sample demonstrates a Java-based Teams bot that utilizes link unfurling in messaging extensions, built with the Bot Framework v4 and Spring Boot. Users can experience enhanced link previews and seamless integration within Microsoft Teams by uploading the app manifest.
This bot has been created using Bot Framework, it shows how to create a simple bot that performs link unfurling in Teams.
This sample is a Spring Boot app and uses the Azure CLI and azure-webapp Maven plugin to deploy to Azure.
- Bots
- Message Extensions
- Search Commands
- Link Unfurling
Please find below demo manifest which is deployed on Microsoft Azure and you can try it yourself by uploading the app manifest (.zip file link below) to your teams and/or as a personal app. (Sideloading must be enabled for your tenant, see steps here).
Teams Link Unfurl Bot: Manifest
- Intall Java 1.8+ Java
- Install Maven
- Setup for Java and Maven Setup
- An account on Azure if you want to deploy to Azure.
- Microsoft Teams is installed and you have an account
- dev tunnel or ngrok latest version or equivalent tunnelling solution
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.
-
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
-
Setup for Bot
In Azure portal, create a Azure Bot resource.
- For bot handle, make up a name.
- Select "Use existing app registration" (Create the app registration in Microsoft Entra ID beforehand.)
- If you don't have an Azure account create an Azure free account here
In the new Azure Bot resource in the Portal,
- Ensure that you've enabled the Teams Channel
- In Settings/Configuration/Messaging endpoint, enter the current
https
URL you were given by running the tunnelling application. Append with the path/api/messages
-
Clone the repository
git clone https://github.com/OfficeDev/Microsoft-Teams-Samples.git
-
Update the
resources/application.properties
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.) -
From the root of this project folder: (
samples/msgext-link-unfurling/java
)- Open a terminal and build the sample using
mvn package
command - Install the packages in the local cache by using
mvn install
command in a terminal - Run it by using
java -jar .\target\bot-teams-link-unfurl-sample.jar
command in a terminal
- Open a terminal and build the sample using
-
This step is specific to Teams.
- Edit the
manifest.json
contained in theappManifest
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 themanifest.json
) - Zip up the contents of the
appManifest
folder to create amanifest.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.)
- Edit the
Note the Teams
manifest.json
for this sample also includes a Search Query. This Messaging Extension is only introduced in order to enable installation, because there is no mechanism for installing a link unfurling feature in isolation.
If you copy and paste a link from https://www.BotFramework.com into the compose message area the link will unfurl.
To learn more about deploying a bot to Azure, see Deploy your bot to Azure for a complete list of deployment instructions.