I'm working with Google Cloud's Vertex AI Workbench and have developed a Jupyter notebook that relies on a specific project structure, including several folders, Python scripts, and a configuration file. When I run the notebook manually within the Workbench, everything works as expected because the environment contains all these necessary files and dependencies.
I want to automate the execution of this notebook on a schedule, ensuring that the execution environment replicates the manual run environment, with access to the same folders, scripts, and config file.
Could you guide me on how to schedule the notebook's execution in Vertex AI Workbench so that the scheduled run utilizes an environment that mirrors this setup? Specifically, I need a simple approach that ensures the scheduled execution has access to the same project directory structure, including all necessary files and dependencies, just as when run manually.