Automating the initial configuration of dbx

[Arunsundar]

Hi Team,

Good morning.

As of now, for the deployment of our code to Databricks, dbx is configured providing the parameters such as cloud provider, git provider, etc., Say, I have a code repository in any one of the git providers. Can this process of configuring dbx be automated if the parameters such as databricks workspace, access token and the path to code repository are specified in a script via python.

Appreciate your help and suggestions.

Thanks

[Anonymous]

@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.

[Arunsundar]

@Suteja Kanuri​ Hi, There are no arguments such as cloudProvider, databricks, new, add in dbx CLI reference documentation. Have you tested this sample script in your machine?

[Anonymous]

@Arunsundar Muthumanickam​ :

Have you set up the Databricks CLI, setup setup profile, imported the code from GIT into DB workspace? If not, I can help here.

Once you have done that, you can try using the below script that automates the configuration of dbx

import subprocess
 
# Define the parameters
workspace_url = "<workspace-url>"
access_token = "<access-token>"
code_repository_path = "<code-repository-path>"
databricks_path = "<databricks-path>"
provider = "<git-provider>"
domain = "<git-provider-domain>"
repo_id = "<git-repository-id>"
profile_name = "<databricks-profile-name>"
 
# Create the Databricks profile
subprocess.call(["databricks", "configure", "--profile", profile_name, "--token", access_token, "--url", workspace_url])
 
# Import the code into the Databricks workspace
subprocess.call(["databricks", "workspace", "import_dir", code_repository_path, databricks_path, "--profile", profile_name])
 
# Connect the Git repository to the Databricks workspace
subprocess.call(["databricks", "repos", "create", "--provider", provider, "--domain", domain, "--repo-id", repo_id, "--profile", profile_name])

[Anonymous]

Hi @Arunsundar Muthumanickam​ 

Hope all is well! Just wanted to check in if you were able to resolve your issue and would you be happy to share the solution or mark an answer as best? Else please let us know if you need more help. 

We'd love to hear from you.

Thanks!