mlops-stacks template does not ask for project name #201
Description
In VSCode, if I use the Databricks extension (v2.9.4) to create a new project and use the mlops-stacks template, I do not get asked for a project name.
Below is a copy of the code that I stepped through bit by bit to set up the project. This shows a Project Name. Default [my_mlops_project]: but this step did not actually appear when I was stepping through it. After the Select if both CI/CD and the Project should be set up, or only one of them. You can always set up the other later by running initialization again: question, the line is blank and nothing else appears. If I press enter, it then goes to Root directory name. For monorepos, name of the root directory that contains all the projects. Default [my_mlops_project]: , skipping asking me what I want the project name to be.
I have noticed that if I just type a project name into the blank line after typing my answer to Select if both CI/CD and the Project should be set up, or only one of them. You can always set up the other later by running initialization again:, then this works as the project name. It therefore looks like I can add the project name but the text asking me what I want it to be, just does not appear.
c:\Users\X\repos\temp
Follow the steps below to create your new Databricks project.
⣾ Downloading the template
⣽ Downloading the template
⣻ Downloading the template
⢿ Downloading the template
⡿ Downloading the template
⣟ Downloading the template
⣯ Downloading the template
⣷ Downloading the template
⣾ Downloading the template
Welcome to MLOps Stacks. For detailed information on project generation, see the README at https://github.com/databricks/mlops-stacks/blob/main/README.md.
Select if both CI/CD and the Project should be set up, or only one of them.
You can always set up the other later by running initialization again: Project_Only
Project Name. Default [my_mlops_project]:
Root directory name.
For monorepos, name of the root directory that contains all the projects.
Default [my_mlops_project]: projects
Select cloud: azure
User group name to give READ permissions to for project resources
(ML jobs, integration test job runs, and machine learning resources).
A group with this name must exist in both the staging and prod workspaces.
Default [users]:
Whether to use the Model Registry with Unity Catalog: yes
Name of schema to use when registering a model in Unity Catalog.
This schema must already exist and service principals must have access.
We recommend using the project name.
Default [my_mlops_project]:
User group name to give EXECUTE privileges to models in Unity Catalog (UC).
It must exist in UC with access granted to the staging and prod workspaces.
Default [account users]:
Fully qualified name of inference table to attach monitoring to.
This table must already exist and service principals must have access. [dev.my_mlops_project.predictions]:
Whether to include Feature Store: no
*** Your MLOps Stack has been created in the 'projects/my_mlops_project' directory! ***
Please refer to the README.md for further instructions on getting started.
Press any key to close the terminal and continue ...