Remove Zeros - Regression Test of Forecast Import

As a Product Owner I want my QA team to perform Regression testing on the forecast import so that we can be confident in the processes that we have in place

Notes

• This issue is to track the work necessary to enhance the current forecast import pipeline to support importing forecasts for the whole chain each night. Current measures extrapolated put us at ~12 hour to import forecasts for the whole chain, and also doesn't leave much room for emergency re-imports as needed. Still need to narrow down exactly what this enhancement will be, but the current recommendation is to explore removing the "zero" forecasts to significantly (up to 80%) reduce the amount of data sent to InFORM for a single forecast.
• Regression test using forecast imports without zeros

Acceptance Criteria

1. Confirm that the forecast engine is fully regressed with imported forecasts
   • Forecast is imported successfully
   • Forecast is displayed in the UI
   • Forecast Adjustments can be made (see below)
   • Forecast Export sent to HS Export
   • DLPS is updated (need forecast for today)
   • .....
2. Forecast Adjustments
   • Manager Adjustments
     • Ensure that exported files contain accurate data
   • Store Mirror
     • Created before forecast is imported
     • Created after forecast is imported
     • Ensure that exported files contain accurate data
   • Sales Item Mirror
     • Created before forecast is imported
     • Created after forecast is imported
     • Ensure that exported files contain accurate data
   • Forecast Event
     • Created before forecast is imported
     • Created after forecast is imported
     • Ensure that exported files contain accurate data
3. Document anything that fails
   • Write stories and provide estimates to complete the work