Prepare Cloud Shell Setup

September 8, 2023 ยท View on GitHub

Before users in your team can deploy the solution using Cloud Shell, you need to perform the following steps:

  1. Create an Azure Container Registry (ACR) instance in the target subscription. Ensure anonymous pull access is enabled on the ACR instance (see here for more information).

  2. Clone the repository:

    git clone https://github.com/AzureCosmosDB/VectorSearchAiAssistant.git

  3. Switch to the cognitive-search-vector branch:

    cd VectorSearchAiAssistant
git checkout cognitive-search-vector

  4. Open the CloudShell-Deploy.ps1 script from the scripts folder with the text editor of your choice. In lines 4 and 5, update the default values for the parameters acrName and acrResourceGroup with the values corresponding to the ACR instance created in step 1.

  5. Save the changes to the CloudShell-Deploy.ps1 script, commit them to the cognitive-search-vector branch, and push the changes to the remote repository.

    git commit -m "Updated ACR details for Cloud Shell deployment"
git push

  6. Execute the Prepare-CloudShell-Deploy.ps1 script. This will build the portal and API Docker images and push them to the ACR instance created in step 1.

    ./scripts/Prepare-CloudShell-Deploy.ps1 -resourceGroup <rg_name> -acrName <acr_name> -subscription <target_subscription_id>

    <rg_name> is the name of the resource group where the ACR instance was created in step 1.

    <acr_name> is the name of the ACR instance created in step 1.

    <target_subscription_id> is the ID of the target subscription.

    This is an example of the command above:

    ./scripts/Prepare-CloudShell-Deploy.ps1 -resourceGroup "ms-byd-to-chatgpt" -acrName "bydtochatgptcr" -subscription "00000000-0000-0000-0000-000000000000"

NOTE: Make sure you pull the latest changes from the cognitive-search-vector branch and rerun step 4 above each time you want to update the portal and API Docker images in the ACR instance as a result of changes made to the code.