@Arunsundar Muthumanickam​ :

Yes, you can automate the process of configuring dbx using Python. You can write a script that takes input parameters such as the Databricks workspace URL, access token, and the path to the code repository, and use the dbx CLI commands to configure the project.

Here's an example script that you can use as a starting point:

import subprocess
 
# Define input parameters
workspace_url = "https://<databricks-instance>.cloud.databricks.com"
access_token = "<your-access-token>"
git_repo_url = "https://github.com/<username>/<repository>.git"
 
# Configure dbx
subprocess.run(f"dbx configure cloudProvider databricks workspaceUrl {workspace_url} token {access_token}", shell=True)
subprocess.run(f"dbx configure gitProvider git gitUrl {git_repo_url}", shell=True)
 
# Create a new project
project_name = "<your-project-name>"
subprocess.run(f"dbx new {project_name}", shell=True)
 
# Add notebooks to the project
notebook_paths = ["path/to/notebook1", "path/to/notebook2"]
for path in notebook_paths:
    subprocess.run(f"dbx add {path} --to {project_name}", shell=True)

**Please test out the code and fix it for the right versions etc.

In this example, the script uses the subprocess module to run dbx CLI commands. The dbx configure commands are used to set the cloud provider and Git provider parameters. Then, a new project is created using the dbx new command, and notebooks are added to the project using the dbx add command. ou can modify this script to include additional parameters and commands as needed for your specific use case.