calculate current pricing by excluding forecast-to-date pricing
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@ -397,7 +397,8 @@ GROUP BY
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,SUM(o.units) units
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,SUM(o.value_loc) value_loc
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,SUM(o.value_usd) value_usd
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,SUM(o.value_loc)/SUM(o.units) price_loc
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-----exclude any prior pricing adjustments from the "current" price in the forecast------
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,SUM(o.value_loc) FILTER (WHERE iter <> 'upload price')/SUM(o.units) FILTER (WHERE iter <> 'upload price') price_loc
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,SUM(o.cost_loc) cost_loc
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,SUM(o.cost_usd) cost_usd
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,o.calc_status --0
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@ -498,6 +499,7 @@ SELECT
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,0::numeric units
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,greatest(
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round(least(
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----cap pricing at global ASP or target---
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least(
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COALESCE(a.py_asp,o.price_loc),
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COALESCE(a.py_gasp,a.target)
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@ -508,6 +510,7 @@ SELECT
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,greatest(
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round((least(
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least(
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-----price loc needs to be prior to any other pricing adjustments-----
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COALESCE(a.py_asp,o.price_loc),
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COALESCE(a.py_gasp,a.target)
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) * (1 + a.rate),
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@ -554,12 +557,6 @@ SELECT
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,COALESCE(log.doc->>'tag','') "tag"
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,log.doc->>'message' "comment"
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,log.doc->>'type' module
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-----------debug columns---------
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--,value_usd/units price
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--,a.py_gasp
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--,a.rate
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--,a.last_price
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--,a.price_increment
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FROM
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collapse o
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--need to join to itemm to get the product from osm_pool
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@ -585,6 +582,7 @@ WHERE
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)
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--SELECT order_season, order_month, sum(value_usd) from ins group by order_season, order_month;
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INSERT INTO rlarp.osm_pool SELECT * FROM ins;
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--SELECT * FROM ins WHERE shipto_group = 'A&W ANNUALS' and part = 'TWA10200G18B027';
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-----------aggregate the impact------------
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COMMIT;
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--COMMIT;
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