Reuse 'default' in pydabs template (#3826)

## Changes
Base `pydabs` template on `default` template instead of `default-python`

## Why
We are switching from the `default-python` template to one based on
`default`.

## Tests
Existing acceptance tests

Author: kanterov

.codegen.json

@@ -7,8 +7,8 @@
         "experimental/python/databricks/bundles/version.py": "__version__ = \"$VERSION\"",
         "experimental/python/pyproject.toml": "version = \"$VERSION\"",
         "experimental/python/uv.lock": "name = \"databricks-bundles\"\nversion = \"$VERSION\"",
-        "libs/template/templates/experimental-jobs-as-code/library/versions.tmpl": "{{define \"latest_databricks_bundles_version\" -}}$VERSION{{- end}}"
-        "libs/template/templates/default-python/library/versions.tmpl": "{{define \"latest_databricks_bundles_version\" -}}$VERSION{{- end}}"
+        "libs/template/templates/experimental-jobs-as-code/library/versions.tmpl": "{{define \"latest_databricks_bundles_version\" -}}$VERSION{{- end}}",
+        "libs/template/templates/default/library/versions.tmpl": "{{define \"latest_databricks_bundles_version\" -}}$VERSION{{- end}}"
     },
     "toolchain": {
         "required": [

acceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/README.md

@@ -36,7 +36,7 @@ with this project. It's also possible to interact with it directly using the CLI
 
     This deploys everything that's defined for this project.
     For example, the default template would deploy a pipeline called
-    `[dev yourname] lakeflow_pipelines_etl` to your workspace.
+    `[dev yourname] my_lakeflow_pipelines_etl` to your workspace.
     You can find that resource by opening your workpace and clicking on **Jobs & Pipelines**.
 
 3. Similarly, to deploy a production copy, type:

…rces/lakeflow_pipelines_etl.pipeline.yml …s/my_lakeflow_pipelines_etl.pipeline.ymlacceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/resources/lakeflow_pipelines_etl.pipeline.yml renamed to acceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/resources/my_lakeflow_pipelines_etl.pipeline.yml acceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/resources/lakeflow_pipelines_etl.pipeline.yml renamed to acceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/resources/my_lakeflow_pipelines_etl.pipeline.yml

@@ -2,17 +2,17 @@
 
 resources:
   pipelines:
-    lakeflow_pipelines_etl:
-      name: lakeflow_pipelines_etl
+    my_lakeflow_pipelines_etl:
+      name: my_lakeflow_pipelines_etl
       ## Catalog is required for serverless compute
       catalog: ${var.catalog}
       schema: ${var.schema}
       serverless: true
-      root_path: "../src/lakeflow_pipelines_etl"
+      root_path: "../src/my_lakeflow_pipelines_etl"
 
       libraries:
         - glob:
-            include: ../src/lakeflow_pipelines_etl/transformations/**
+            include: ../src/my_lakeflow_pipelines_etl/transformations/**
 
       environment:
         dependencies:

acceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/resources/sample_job.job.yml

@@ -24,7 +24,7 @@ resources:
       tasks:
         - task_key: refresh_pipeline
           pipeline_task:
-            pipeline_id: ${resources.pipelines.lakeflow_pipelines_etl.id}
+            pipeline_id: ${resources.pipelines.my_lakeflow_pipelines_etl.id}
 
       environments:
         - environment_key: default

…nes/src/lakeflow_pipelines_etl/README.md …/src/my_lakeflow_pipelines_etl/README.mdacceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/src/lakeflow_pipelines_etl/README.md renamed to acceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/src/my_lakeflow_pipelines_etl/README.md acceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/src/lakeflow_pipelines_etl/README.md renamed to acceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/src/my_lakeflow_pipelines_etl/README.md

@@ -15,6 +15,6 @@ To get started, go to the `transformations` folder -- most of the relevant sourc
 * Take a look at the sample called "sample_trips_my_lakeflow_pipelines.py" to get familiar with the syntax.
   Read more about the syntax at https://docs.databricks.com/dlt/python-ref.html.
 * If you're using the workspace UI, use `Run file` to run and preview a single transformation.
-* If you're using the CLI, use `databricks bundle run lakeflow_pipelines_etl --select sample_trips_my_lakeflow_pipelines` to run a single transformation.
+* If you're using the CLI, use `databricks bundle run my_lakeflow_pipelines_etl --select sample_trips_my_lakeflow_pipelines` to run a single transformation.
 
 For more tutorials and reference material, see https://docs.databricks.com/dlt.

…tl/explorations/sample_exploration.ipynb …tl/explorations/sample_exploration.ipynbacceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/src/lakeflow_pipelines_etl/explorations/sample_exploration.ipynb renamed to acceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/src/my_lakeflow_pipelines_etl/explorations/sample_exploration.ipynb acceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/src/lakeflow_pipelines_etl/explorations/sample_exploration.ipynb renamed to acceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/src/my_lakeflow_pipelines_etl/explorations/sample_exploration.ipynb

@@ -36,7 +36,7 @@ with this project. It's also possible to interact with it directly using the CLI
 
     This deploys everything that's defined for this project.
     For example, the default template would deploy a pipeline called
-    `[dev yourname] lakeflow_pipelines_etl` to your workspace.
+    `[dev yourname] my_lakeflow_pipelines_etl` to your workspace.
     You can find that resource by opening your workpace and clicking on **Jobs & Pipelines**.
 
 3. Similarly, to deploy a production copy, type:

…ns/sample_trips_my_lakeflow_pipelines.py …ns/sample_trips_my_lakeflow_pipelines.pyacceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/src/lakeflow_pipelines_etl/transformations/sample_trips_my_lakeflow_pipelines.py renamed to acceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/src/my_lakeflow_pipelines_etl/transformations/sample_trips_my_lakeflow_pipelines.py acceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/src/lakeflow_pipelines_etl/transformations/sample_trips_my_lakeflow_pipelines.py renamed to acceptance/bundle/templates/lakeflow-pipelines/python/output/my_lakeflow_pipelines/src/my_lakeflow_pipelines_etl/transformations/sample_trips_my_lakeflow_pipelines.py

@@ -2,17 +2,17 @@
 
 resources:
   pipelines:
-    lakeflow_pipelines_etl:
-      name: lakeflow_pipelines_etl
+    my_lakeflow_pipelines_etl:
+      name: my_lakeflow_pipelines_etl
       ## Catalog is required for serverless compute
       catalog: ${var.catalog}
       schema: ${var.schema}
       serverless: true
-      root_path: "../src/lakeflow_pipelines_etl"
+      root_path: "../src/my_lakeflow_pipelines_etl"
 
       libraries:
         - glob:
-            include: ../src/lakeflow_pipelines_etl/transformations/**
+            include: ../src/my_lakeflow_pipelines_etl/transformations/**
 
       environment:
         dependencies: