feat: switch all job compute to serverless#224
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Move all Databricks notebooks out of nested notebooks/ subdirectories to sit alongside their sibling helper modules. This eliminates the %cd .. hacks that were needed to import from parent directories and simplifies the project layout for a data science workflow. Moves: - training/notebooks/*.py → training/*.py - validation/notebooks/ModelValidation.py → validation/ModelValidation.py - deployment/*/notebooks/*.py → deployment/*/*.py - feature_engineering/notebooks/*.py → feature_engineering/*.py - monitoring/notebooks/*.py → monitoring/*.py Updates all resource YAMLs, update_layout.tmpl, and README references. Co-authored-by: Isaac
Databricks bundle deployments set the notebook CWD correctly, so the notebook_path/%cd $notebook_path pattern is unnecessary. Sibling imports work naturally after the flatten-notebooks change. Also inlines the trivial get_deployed_model_stage_for_env helper (a dict lookup) to eliminate cross-directory sys.path.append in deploy.py and BatchInference.py. Co-authored-by: Isaac
No longer needed with databricks bundle init. Co-authored-by: Isaac
Replace new_cluster/job_clusters definitions with serverless environments across all resource YAMLs. Tasks now use environment_key: default with a serverless environment spec that installs dependencies from requirements.txt. Remove %pip install, dbutils.library.restartPython(), and %autoreload boilerplate from all notebooks — dependencies are now managed by the serverless environment. Clean up requirements.txt for serverless compatibility: - Remove pyspark, Jinja2, pytz, pytest (pre-installed or not needed) - Add lightgbm (not pre-installed on serverless) - Remove env_manager=virtualenv from spark_udf (unsupported on serverless) Co-authored-by: Isaac
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Summary
new_cluster/job_clusterswith serverlessenvironments(client version 4) across all resource YAMLsenvironments.spec.dependencies: [-r ../requirements.txt]%pip install,dbutils.library.restartPython(), and%autoreloadfrom all notebooksrequirements.txtfor serverless: removepyspark,Jinja2,pytz,pytest; addlightgbmenv_manager="virtualenv"fromspark_udf(unsupported on serverless)Depends on #219 (simplify-project-structure).
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