Spider2lite local279 has incorrect solution csv

[ritahuja]

local279 asks: Using a recursive monthly inventory adjustment model starting from December 2018 inventory levels, where we restock a product if its ending inventory drops below the minimum required level, determine for each product the month in 2019 where the absolute difference between its ending inventory and the minimum required level is the smallest, and return the product_id, that month, and the absolute difference.

The official answer is https://github.com/xlang-ai/Spider2/blob/main/spider2-lite/evaluation_suite/gold/exec_result/local279_a.csv

product_id,month,absolute_difference
6520,2019-01-01,330.0
6600,2019-01-01,76.0

I believe the official answer is incorrect, because there is no path to get to the numbers

1. The value 330 cannot be derived from any logical combination of:
   - Starting inventory (400/100)
   - Monthly sales (orderlines: 260, 16, 40, 16 for Jan-Feb)
   - Monthly budget (45, 45, 20, 20)
   - Restock amounts (400, 100)
2. If 330 were the ending inventory (not difference):
   - Difference from minimum would be 230, not 330
3. No path to get both 330 AND 76

Using the recursive inventory model with proper logic:

• Start with December 2018 inventory: 400 (product 6520), 100 (product 6600)
• Track monthly sales from orderlines table (actual transactions)
• Restock when inventory drops below minimum

1. Using monthly_budget as consumption (instead of orderlines):
   - 6520: Jan ending = 369, diff = 269 ❌
   - 6600: Jan ending = 81, diff = 51 ❌
2. Using monthly_sales values as inventory levels (misinterpretation):
   - 6520: Jan ending = 369, diff = 269 ❌
   - 6600: Jan ending = 81, diff = 51 ❌
3. Various formula combinations (tested ~10 different approaches):
   - Closest: 339 vs 330 (off by 9) and 75 vs 76 (off by 1)

---

Another way to look at it is to run directly for the specific product_id's
SELECT * from oracle_sql.PRODUCT_MINIMUMS

We get the restocking procedures:

product_id,qty_minimum,qty_purchase
6520,100,400
6600,30,100

Following this we take monthly sales:
SELECT product_id, SUM(qty) FROM ORACLE_SQL.monthly_sales WHERE product_id=6520 OR product_id=6600 GROUP BY product_id
which gives

product_id,SUM(QTY)
6520, 1230
6600, 324

Now we can easily calculate the absolute difference since it is only January (we don't have data for 2019 monthly sales)
6600 → (100 - 324) % 100 → 76
6520 → (400 - 1230) % 400 → 370

This does not match up with gold answer:
Golden answer:

6520,2019-01-01,330.0
6600,2019-01-01,76.0