Add default-minimal template (#3885)

## Changes

Adds a new `default-minimal` template for advanced users who want a
clean slate without sample code:

* Added `default-minimal` which inherits from the `default` template,
just like `default-python`
* Enhanced template renderer to preserve empty directories (necessary to
avoid `.gitkeep` files in `src/` and `resources/`)
* Fixed `uv run pytest` error shown for projects that don't have a
`src/<package>` directory

## Why

Advanced customers and non-ETL customers (like @fjakobs) indicated they
want an "empty" or "minimal" project template where they don't need to
delete sample code. Rather than answering "no" to all questions in
`default-python`, this gives them something more intentional.

## Tests

* Template acceptance tests
* Manual uv run pytest, databricks bundle deploy, databricks bundle run
on generated project

**Example:**
```bash
$ databricks bundle init default-minimal
Welcome to the minimal Databricks Asset Bundle template!

This template creates a minimal project structure without sample code, ideal for advanced users.
(For getting started with Python or SQL code, use the default-python or default-sql templates instead.)

Your workspace at https://e2-dogfood.staging.cloud.databricks.com is used for initialization.
(See https://docs.databricks.com/dev-tools/cli/profiles.html for how to change your profile.)

Unique name for this project [my_project]: empty
Default catalog for any tables created by this project [main]:
Use a personal schema for each user working on this project.
(This is recommended. Your personal schema will be 'main.lennart_kats'.): yes

✨ Your new project has been created in the 'empty' directory!

To get started, refer to the project README.md file and the documentation at https://docs.databricks.com/dev-tools/bundles/index.html.
```
```
$ find empty
empty
empty/resources
empty/pyproject.toml
empty/tests
empty/tests/conftest.py
empty/README.md
empty/.gitignore
empty/fixtures
empty/fixtures/.gitkeep
empty/.vscode
empty/.vscode/__builtins__.pyi
empty/.vscode/settings.json
empty/.vscode/extensions.json
empty/databricks.yml
empty/src
```

---------

Co-authored-by: Claude <[email protected]>

Author: lennartkats-db

NEXT_CHANGELOG.md

@@ -9,6 +9,7 @@
 ### Dependency updates
 
 ### Bundles
+* Add `default-minimal` template for users who want a clean slate without sample code ([#3885](https://github.com/databricks/cli/pull/3885))
 * Add validation that served_models and served_entities are not used at the same time. Add client side translation logic. ([#3880](https://github.com/databricks/cli/pull/3880))
 
 ### API Changes

acceptance/bundle/help/bundle-init/output.txt

@@ -5,6 +5,7 @@ Initialize using a bundle template to get started quickly.
 TEMPLATE_PATH optionally specifies which template to use. It can be one of the following:
 - default-python: The default Python template for Notebooks and Lakeflow
 - default-sql: The default SQL template for .sql files that run with Databricks SQL
+- default-minimal: The minimal template, for advanced users
 - dbt-sql: The dbt SQL template (databricks.com/blog/delivering-cost-effective-data-real-time-dbt-and-databricks)
 - mlops-stacks: The Databricks MLOps Stacks template (github.com/databricks/mlops-stacks)
 - pydabs: A variant of the 'default-python' template that defines resources in Python instead of YAML

acceptance/bundle/templates/default-minimal/input.json

@@ -0,0 +1,6 @@
+{
+    "project_name": "my_default_minimal",
+    "include_job": "no",
+    "include_pipeline": "no",
+    "include_python": "no"
+}

acceptance/bundle/templates/default-minimal/out.test.toml

@@ -0,0 +1,33 @@
+
+>>> [CLI] bundle init default-minimal --config-file ./input.json --output-dir output
+Welcome to the minimal Databricks Asset Bundle template!
+
+This template creates a minimal project structure without sample code, ideal for advanced users.
+(For getting started with Python or SQL code, use the default-python or default-sql templates instead.)
+
+Your workspace at [DATABRICKS_URL] is used for initialization.
+(See https://docs.databricks.com/dev-tools/cli/profiles.html for how to change your profile.)
+
+✨ Your new project has been created in the 'my_default_minimal' directory!
+
+To get started, refer to the project README.md file and the documentation at https://docs.databricks.com/dev-tools/bundles/index.html.
+
+>>> [CLI] bundle validate -t dev
+Name: my_default_minimal
+Target: dev
+Workspace:
+  Host: [DATABRICKS_URL]
+  User: [USERNAME]
+  Path: /Workspace/Users/[USERNAME]/.bundle/my_default_minimal/dev
+
+Validation OK!
+
+>>> [CLI] bundle validate -t prod
+Name: my_default_minimal
+Target: prod
+Workspace:
+  Host: [DATABRICKS_URL]
+  User: [USERNAME]
+  Path: /Workspace/Users/[USERNAME]/.bundle/my_default_minimal/prod
+
+Validation OK!

acceptance/bundle/templates/default-minimal/output.txt

@@ -0,0 +1,3 @@
+# Typings for Pylance in Visual Studio Code
+# see https://github.com/microsoft/pyright/blob/main/docs/builtins.md
+from databricks.sdk.runtime import *

acceptance/bundle/templates/default-minimal/output/my_default_minimal/.vscode/__builtins__.pyi

@@ -0,0 +1,7 @@
+{
+    "recommendations": [
+        "databricks.databricks",
+        "redhat.vscode-yaml",
+        "ms-python.black-formatter"
+    ]
+}

acceptance/bundle/templates/default-minimal/output/my_default_minimal/.vscode/extensions.json

@@ -0,0 +1,39 @@
+{
+    "jupyter.interactiveWindow.cellMarker.codeRegex": "^# COMMAND ----------|^# Databricks notebook source|^(#\\s*%%|#\\s*\\<codecell\\>|#\\s*In\\[\\d*?\\]|#\\s*In\\[ \\])",
+    "jupyter.interactiveWindow.cellMarker.default": "# COMMAND ----------",
+    "python.testing.pytestArgs": [
+        "."
+    ],
+    "files.exclude": {
+        "**/*.egg-info": true,
+        "**/__pycache__": true,
+        ".pytest_cache": true,
+        "dist": true,
+    },
+    "files.associations": {
+        "**/.gitkeep": "markdown"
+    },
+
+    // Pylance settings (VS Code)
+    // Set typeCheckingMode to "basic" to enable type checking!
+    "python.analysis.typeCheckingMode": "off",
+    "python.analysis.extraPaths": ["src", "lib", "resources"],
+    "python.analysis.diagnosticMode": "workspace",
+    "python.analysis.stubPath": ".vscode",
+
+    // Pyright settings (Cursor)
+    // Set typeCheckingMode to "basic" to enable type checking!
+    "cursorpyright.analysis.typeCheckingMode": "off",
+    "cursorpyright.analysis.extraPaths": ["src", "lib", "resources"],
+    "cursorpyright.analysis.diagnosticMode": "workspace",
+    "cursorpyright.analysis.stubPath": ".vscode",
+
+    // General Python settings
+    "python.defaultInterpreterPath": "./.venv/bin/python",
+    "python.testing.unittestEnabled": false,
+    "python.testing.pytestEnabled": true,
+    "[python]": {
+        "editor.defaultFormatter": "ms-python.black-formatter",
+        "editor.formatOnSave": true,
+    },
+}

acceptance/bundle/templates/default-minimal/output/my_default_minimal/.vscode/settings.json

@@ -0,0 +1,62 @@
+# my_default_minimal
+
+The 'my_default_minimal' project was generated by using the default template.
+
+* `src/`: Python source code for this project.
+* `resources/`:  Resource configurations (jobs, pipelines, etc.)
+* `tests/`: Unit tests for the shared Python code.
+* `fixtures/`: Fixtures for data sets (primarily used for testing).
+
+
+## Getting started
+
+Choose how you want to work on this project:
+
+(a) Directly in your Databricks workspace, see
+    https://docs.databricks.com/dev-tools/bundles/workspace.
+
+(b) Locally with an IDE like Cursor or VS Code, see
+    https://docs.databricks.com/dev-tools/vscode-ext.html.
+
+(c) With command line tools, see https://docs.databricks.com/dev-tools/cli/databricks-cli.html
+
+If you're developing with an IDE, dependencies for this project should be installed using uv:
+
+*  Make sure you have the UV package manager installed.
+   It's an alternative to tools like pip: https://docs.astral.sh/uv/getting-started/installation/.
+*  Run `uv sync --dev` to install the project's dependencies.
+
+
+# Using this project using the CLI
+
+The Databricks workspace and IDE extensions provide a graphical interface for working
+with this project. It's also possible to interact with it directly using the CLI:
+
+1. Authenticate to your Databricks workspace, if you have not done so already:
+    ```
+    $ databricks configure
+    ```
+
+2. To deploy a development copy of this project, type:
+    ```
+    $ databricks bundle deploy --target dev
+    ```
+    (Note that "dev" is the default target, so the `--target` parameter
+    is optional here.)
+
+    This deploys everything that's defined for this project.
+
+3. Similarly, to deploy a production copy, type:
+   ```
+   $ databricks bundle deploy --target prod
+   ```
+
+4. To run a job or pipeline, use the "run" command:
+   ```
+   $ databricks bundle run
+   ```
+
+5. Finally, to run tests locally, use `pytest`:
+   ```
+   $ uv run pytest
+   ```

acceptance/bundle/templates/default-minimal/output/my_default_minimal/README.md

@@ -0,0 +1,42 @@
+# This is a Databricks asset bundle definition for my_default_minimal.
+# See https://docs.databricks.com/dev-tools/bundles/index.html for documentation.
+bundle:
+  name: my_default_minimal
+  uuid: [UUID]
+
+include:
+  - resources/*.yml
+  - resources/*/*.yml
+
+# Variable declarations. These variables are assigned in the dev/prod targets below.
+variables:
+  catalog:
+    description: The catalog to use
+  schema:
+    description: The schema to use
+
+targets:
+  dev:
+    # The default target uses 'mode: development' to create a development copy.
+    # - Deployed resources get prefixed with '[dev my_user_name]'
+    # - Any job schedules and triggers are paused by default.
+    # See also https://docs.databricks.com/dev-tools/bundles/deployment-modes.html.
+    mode: development
+    default: true
+    workspace:
+      host: [DATABRICKS_URL]
+    variables:
+      catalog: hive_metastore
+      schema: ${workspace.current_user.short_name}
+  prod:
+    mode: production
+    workspace:
+      host: [DATABRICKS_URL]
+      # We explicitly deploy to /Workspace/Users/[USERNAME] to make sure we only have a single copy.
+      root_path: /Workspace/Users/[USERNAME]/.bundle/${bundle.name}/${bundle.target}
+    variables:
+      catalog: hive_metastore
+      schema: prod
+    permissions:
+      - user_name: [USERNAME]
+        level: CAN_MANAGE