The Astra Schedule Sandbox is an academic scheduling area where scheduling scenarios can be created to model configuration options and changes to processes. The sandbox is a non-destructive work area for all optimizer processes. Whether you are optimizing room assignments for an active term or experimenting with scenarios, the sandbox will contain a complete copy of all of the sections included by your sandbox settings. Academic scheduling and editing tools are provided, allowing the entire schedule to be completed and reviewed before publishing. Production data is not updated until you are ready.
Various sandbox types are available, depending on your license and individual user permissions:
This sandbox type provides bulk, optimized room assignment tools for scheduling rooms using a copy of your production data or another sandbox. Various filters, settings, and scheduling preferences can be applied to refine your results until ready for publishing. Read more in the Room Optimization article.
This sandbox type provides bulk, optimized instructor assignments for a copy of your production data or another sandbox. The assignment process considers instructor availability, load settings, courses authorized to teach, cost of instruction, and quality rating. Read more in the Instructor Optimization article.
The Sandbox List
The Sandbox can be accessed from either the Academics or Analytics tabs, as applicable, by clicking on the Sandboxes link. A list of all saved Sandboxes is displayed. The list displays the name, type, campus, status, progress, user, start and end time, and other values as applicable for the sandbox process. The following statuses may appear associated with a sandbox (as applicable):
- Scheduled: in the queue to run as soon as possible. It may be waiting on another process to complete or for a service to process it.
- Running: currently being processed and is generating results.
- Completed: finished and results are available for review.
- Published: results were published to the production section file.
As the list of sandboxes grows, you may use the keyword search, term filter, and/or status filter to find specific sandboxes you may have saved.
Click the name of a sandbox to review its settings. If it has been completed, you will also be able to view results details, resolve any remaining scheduling issues, and optionally publish the results to production.
Click the delete icon to the right of the sandbox entry to delete its settings along with any saved results and remove the entry from the list. This action will not affect production sections or room data.
As a best practice, it is recommended that you only retain the minimum number of sandboxes required for the current modeling and scheduling process, or for recent historical reference. Application performance will be degraded as a result of having large quantities of sandbox data stored in the database.