cookiecutter.json

{
    "project_slug": "",
    "lob_name": "",
    "lob_display_name": "",
    "catalog_name": "",
    "schema_name": "default",
    "workspace_url_dev": "",
    "workspace_url_staging": "",
    "workspace_url_prod": "",
    "spark_version": "15.4.x-scala2.12",
    "node_type_id": "",
    "cluster_policy_id": "",
    "instance_pool_id": "",
    "engineer_group": "",
    "engineer_principal_type": ["group", "user"],
    "model_name": "",
    "mlflow_experiment_path": "/Shared/{{cookiecutter.project_slug}}/experiments",
    "cicd_platform": ["github_actions", "azure_devops"],
    "__prompts__": {
        "project_slug": "Project name (lowercase, underscores only, e.g. lob_a_churn_prediction)",
        "lob_name": "Line of business identifier (e.g. lob-a)",
        "lob_display_name": "Line of business display name (e.g. LOB A)",
        "catalog_name": "Unity Catalog catalog name (get this from the hub platform team)",
        "schema_name": "Default schema name (leave as 'default' unless instructed otherwise)",
        "workspace_url_dev": "Databricks workspace URL for dev (get this from the hub platform team)",
        "workspace_url_staging": "Databricks workspace URL for staging (get this from the hub platform team)",
        "workspace_url_prod": "Databricks workspace URL for prod (get this from the hub platform team)",
        "spark_version": "Databricks runtime version (confirm with hub platform team)",
        "node_type_id": "VM node type (confirm with hub platform team — e.g. Standard_DS3_v2)",
        "cluster_policy_id": "Cluster policy ID (get this from the hub platform team)",
        "instance_pool_id": "Instance pool ID for dev (get this from the hub platform team — leave empty if not available)",
        "engineer_group": "Identity for your team (Entra ID group name or user email — e.g. lob-a-engineers or user@client.com)",
        "engineer_principal_type": "Principal type: 'group' if engineer_group is an Entra ID group, 'user' if it is an individual user email",
        "model_name": "MLflow registered model name (e.g. lob_a_churn_prediction_model)",
        "mlflow_experiment_path": "MLflow experiment path (leave default unless instructed otherwise)",
        "cicd_platform": "CI/CD platform (github_actions or azure_devops)"
    }
}