This was causing a double dipping of value changes. Along with this
change was a manual purge of the changes that mistakenly were made.
Luckily they were easy to find:
l.doc->>'type' = 'scale_vp'
iter = 'adj price'
Now that we think we know what we're doing, I'm using a more rigorous
approach to defining iterations and tags, and this condition is no
longer necessary, and in fact, may be harmful. This I'm removing it.
The initial load of data will have these values.
iter | tag | purpose
--------|-------------|-------------------------------------------------
plan | baseline | Adjustments will be made to these values only.
actuals | open-orders | Ordered before 2024 season, still open.
actuals | booked | Ordered in 2024 season so far
This happens when a customer places identical orders and specifies that
they be shipped in different seasons. We end up with one order shipped
in 2023 and one open for 2024. Under our current operating procedures,
open orders are subtracted from shipped orders and are presented as
baseline for the next forecast. The zero that appears in the baseline in
this case was causing all kinds of issues in the SQL scripts for
inserting the adjustments, ranging from finding zero rows to adjust to
division by zero.
Another change required to correct this was updating the iter value of
the open orders from 'actuals' to 'copy':
UPDATE rlarp.osm_pool
SET iter = 'copy'
WHERE tag = 'open-orders'
Lots of cleanup here too, removing large swaths of code that are no
longer needed. Many improvements the Excel workbook, which is kept in
Teams, not git. These changes may or may not have had accompanying VBA
changes.
