forecast_api/offline/last_price.sql

552 lines
16 KiB
PL/PgSQL

--BEGIN;
WITH
------------------goal price increases---------------------
incr AS (
SELECT * FROM (VALUES
('110','PP','B',0.3),
('110','PP','T',0.3),
('110','PP','L',0.4),
('110','PP','M',0.4),
('110','PP','P',0.4),
('110','PP','C',0.4),
('210','PE','B',0.3),
('210','PE','T',0.3),
('210','PE','L',0.3),
('210','PE','M',0.3),
('210','PE','P',0.3),
('210','PE','C',0.3),
('310','PE','B',0.25),
('310','PE','T',0.3),
('310','PE','L',0.3),
('310','PE','M',0.3),
('310','PE','P',0.3),
('310','PE','C',0.3),
('310','PP','B',0.25),
('310','PP','T',0.25),
('310','PP','L',0.25),
('310','PP','M',0.25),
('310','PP','P',0.25),
('310','PP','C',0.25),
('310','PS','B',0.25),
('310','PS','T',0.25),
('310','PS','L',0.25),
('310','PS','M',0.25),
('310','PS','P',0.25),
('310','PS','C',0.25),
('320','PE','B',0.25),
('320','PE','T',0.25),
('320','PE','L',0.25),
('320','PE','M',0.25),
('320','PE','P',0.25),
('320','PE','C',0.25),
('320','PP','B',0.25),
('320','PP','T',0.25),
('320','PP','L',0.25),
('320','PP','M',0.25),
('320','PP','P',0.25),
('320','PP','C',0.25),
('910','PE','B',0.25),
('910','PE','D',0.25),
('910','PE','F',0.25),
('910','PP','B',0.25),
('910','PP','D',0.25),
('910','PP','F',0.25),
('910','PS','B',0.25),
('910','PS','D',0.25),
('910','PS','F',0.25),
('610','','B',0.02),
('610','','S',0.02),
('610','','W',0.02)
) x(MAJG,ASSC,COLTIER,RATE)
)
------------carve out pricing baseline data--------------------
,p AS (
SELECT
o.part
,o.styc||'.'||o.coltier||substring(o.sizc,1,3) productt
,o.styc||'.'||o.colgrp||substring(o.sizc,1,3) product
,o.glec
,o.styc
,o.majg
,i.assc
,o.coltier
,o.colgrp
,o.sizc
,i.suffix
,substring(o.chan,1,1) chgrp
,o.account
,o.shipgrp
,o.fb_qty units
,o.fb_val_loc*r_rate val_usd
,round(o.fb_val_loc/o.fb_qty,10) AS price
,o.odate
,o.oseas
,row_number() OVER (PARTITION BY o.styc||'.'||o.colgrp||substring(o.sizc,1,3),o.account, o.shipgrp ORDER BY o.odate DESC) rn
FROM
rlarp.osm_dev o
INNER JOIN rlarp.itemmv i ON
i.item = o.part
WHERE
---exclude R&A's
o.fs_line = '41010'
---exclude canceled orders
AND o.calc_status <> 'CANCELED'
---exclude quotes
AND o.version = 'ACTUALS'
---only finished goods
AND substring(o.glec,1,1) <= '2'
---exclude blank parts
AND COALESCE(o.part,'') <> ''
---must have a quantity
AND o.fb_qty <> 0
---must have a price
AND o.fb_val_loc <> 0
---must come from and order
AND o.odate IS NOT NULL
---exclude samples
AND o.bill_class <> 'SALE'
---only use recent history
AND o.oseas >= 2020
---only for direct and drop
--AND o.chan IN ('DIR','DRP')
ORDER BY
o.part
,o.styc
,o.coltier
,o.sizc
,i.suffix
,o.account
,o.shipgrp
,o.odate DESC
)
--SELECT * FROM p WHERE account ~ 'AMERICAN HORT' and product = 'AZA06000.CBXX' and chgrp = 'W' order by rn ASC
------------build global py asp------------------
,baseline AS (
SELECT
product
,majg
,assc
,chgrp
,round(sum(val_usd) FILTER (WHERE oseas = 2020)/sum(units) FILTER (WHERE oseas = 2020),5) py_gasp
FROM
p
GROUP BY
product
,majg
,assc
,chgrp
)
--SELECT
-- p.product
-- --,p.styc
-- --,p.glec
-- ,p.majg
-- ,p.assc
-- ,p.colgrp
-- --,p.coltier
-- --,p.sizc
-- --,p.suffix
-- ,p.chgrp
-- ,p.account
-- ,p.shipgrp
-- --,bl.py_gasp
-- ,sum(units) FILTER (WHERE oseas = 2020) py_units
-- ,sum(units) FILTER (WHERE oseas = 2021) cy_units
-- ,round(sum(val_usd) FILTER (WHERE oseas = 2020)/sum(units) FILTER (WHERE oseas = 2020),5) py_asp
-- ,round(avg(price) FILTER (WHERE rn = 1),5) last_price
-- ,max(odate) FILTER (WHERE rn = 1) last_order
-- ,i.rate incr_rate
-- ,CASE p.chgrp
-- WHEN 'D' THEN .5
-- ELSE CASE p.majg
-- WHEN '610' THEN .02
-- ElSE CASE p.colgrp
-- WHEN 'B' THEN .15
-- WHEN 'C' THEN .20
-- ELSE 1
-- END
-- END
-- END rate
-- --,CASE WHEN sum(val_usd) FILTER (WHERE oseas = 2020) IS NULL
-- -- THEN CASE WHEN sum(units) FILTER (WHERE oseas = 2021) IS NULL
-- -- THEN 'unknown'
-- -- ELSE 'new'
-- -- END
-- -- ELSE CASE WHEN sum(units) FILTER (WHERE oseas = 2021) IS NULL
-- -- THEN 'lost'
-- -- ELSE 'repeat'
-- -- END
-- --END flag
--FROM
-- p
-- LEFT OUTER JOIN baseline bl ON
-- bl.product = p.product
-- AND bl.majg = p.majg
-- AND bl.assc = p.assc
-- AND bl.chgrp = p.chgrp
-- LEFT OUTER JOIN incr i ON
-- i.majg = p.majg
-- AND i.assc = p.assc
-- AND i.coltier = p.coltier
-- AND p.glec <> '1RE'
--WHERE
-- p.account ~ 'AMERICAN HORT' and p.product = 'AZA06000.CBXX' and p.chgrp = 'W'
--GROUP BY
-- p.product
-- --,p.styc
-- --,p.glec
-- ,p.majg
-- ,p.assc
-- --,p.coltier
-- ,p.colgrp
-- --,p.sizc
-- --,p.suffix
-- ,p.chgrp
-- ,p.account
-- ,p.shipgrp
-- --,bl.py_gasp
-- ,i.rate
----------calculate pricing as it sits in the forecast--------------
,poolprice AS (
SELECT
i.stlc||'.'||i.coltier||substring(i.sizc,1,3) productt
,i.stlc||'.'||i.colgrp||substring(i.sizc,1,3) product
,o.quota_rep_descr
,substring(majg,1,3) majg
,substring(chan,1,1) chgrp
,o.billto_group
,o.shipto_group
,order_season
,round(sum(units) ,2) fc_units
--,round(sum(value_loc) ,2) valloc
--,round(sum(value_usd) ,2) valusd
,round(sum(o.value_loc)/sum(o.units),5) fc_price
,jsonb_agg(DISTINCT iter) iters
FROM
rlarp.osm_pool o
,rlarp.itemmv i
WHERE
i.item = o.part
--AND o.units <> 0
---only apply to 2022 orders----
AND o.order_date >= '2021-06-01'
--only include baseline stuff---
AND segm <> 'Retail'
GROUP BY
i.stlc||'.'||i.coltier||substring(i.sizc,1,3)
,i.stlc||'.'||i.colgrp||substring(i.sizc,1,3)
,o.quota_rep_descr
,substring(majg,1,3)
,substring(chan,1,1)
,o.billto_group
,o.shipto_group
,order_season
--AND iter <> 'upload price'
HAVING
sum(o.units) <> 0
)
----------pivot the pricing out into columns per customer/product--------
,pivot AS (
SELECT
p.productt
,p.product
--,p.styc
--,p.glec
,p.majg
,p.assc
,p.colgrp
--,p.coltier
--,p.sizc
--,p.suffix
,p.chgrp
,p.account
,p.shipgrp
,bl.py_gasp
,sum(units) FILTER (WHERE oseas = 2020) py_units
,sum(units) FILTER (WHERE oseas = 2021) cy_units
,round(sum(val_usd) FILTER (WHERE oseas = 2020)/sum(units) FILTER (WHERE oseas = 2020),5) py_asp
,round(sum(val_usd) FILTER (WHERE oseas = 2021)/sum(units) FILTER (WHERE oseas = 2021),5) cy_asp
,round(avg(price) FILTER (WHERE rn = 1),5) last_price
,max(odate) FILTER (WHERE rn = 1) last_order
,CASE p.chgrp
WHEN 'D' THEN i.rate
ELSE CASE p.majg
WHEN '610' THEN .02
ElSE CASE p.colgrp
WHEN 'B' THEN .15
WHEN 'C' THEN .20
ELSE 1
END
END
END rate
--,CASE WHEN sum(val_usd) FILTER (WHERE oseas = 2020) IS NULL
-- THEN CASE WHEN sum(units) FILTER (WHERE oseas = 2021) IS NULL
-- THEN 'unknown'
-- ELSE 'new'
-- END
-- ELSE CASE WHEN sum(units) FILTER (WHERE oseas = 2021) IS NULL
-- THEN 'lost'
-- ELSE 'repeat'
-- END
--END flag
FROM
p
LEFT OUTER JOIN baseline bl ON
bl.product = p.product
AND bl.majg = p.majg
AND bl.assc = p.assc
AND bl.chgrp = p.chgrp
LEFT OUTER JOIN incr i ON
i.majg = p.majg
AND i.assc = p.assc
AND i.coltier = p.coltier
AND p.glec <> '1RE'
GROUP BY
p.productt
,p.product
--,p.styc
--,p.glec
,p.majg
,p.assc
--,p.coltier
,p.colgrp
--,p.sizc
--,p.suffix
,p.chgrp
,p.account
,p.shipgrp
,bl.py_gasp
,i.rate
)
--,test_unique AS (
--SELECT
-- p.*
-- ,count(*) OVER (partition by productt, majg, chgrp, account, shipgrp) cnt
--FROM
-- pivot p
--)
--SELECT * FROM test_unique where cnt > 1
--SELECT * FROM pivot LIMIT 1000
--------------join forecast price-------------------
,fcp AS (
SELECT
pp.productt
,pp.product
,pp.majg
,pp.quota_rep_descr
,pp.order_season
,pp.billto_group
,pp.shipto_group
,pp.fc_units
,pp.fc_price
,pp.iters
,p.py_gasp
,p.cy_units
,p.py_asp
,p.last_price
,p.last_order
,p.rate
--need to link in targets pricing and price list for cap purposes---------
,COALESCE(py_asp,py_gasp) * (1 + rate) fc_price
FROM
poolprice pp
LEFT OUTER JOIN pivot p ON
pp.productt = p.productt
AND pp.majg = p.majg
AND pp.chgrp = p.chgrp
AND pp.billto_group = p.account
AND pp.shipto_group = p.shipgrp
)
SELECT * FROM fcp limit 100
----------------create the new price-----------------
--,adj AS (
--SELECT
-- p.product
-- ,p.styc
-- ,p.glec
-- ,p.majg
-- ,p.assc
-- ,p.coltier
-- ,p.sizc
-- ,p.suffix
-- ,p.account
-- ,p.shipgrp
-- ,p.py_gasp
-- ,p.cy_units
-- ,p.py_asp
-- ,p.last_price
-- ,p.last_order
-- ,p.rate
-- ,p.flag
-- ,CASE p.flag
-- ----------------------if repeat business then get to prior year + target %--------------------------------------------------------------
-- WHEN 'repeat' THEN greatest(py_asp * COALESCE(1+rate,1) - last_price,0)
-- WHEN 'lost' THEN greatest(py_asp * COALESCE(1+rate,1) - last_price,0)
-- ----------------------if new business, move towards py_gasp + target % : lesser of py gloabl + target or last + target------------------
-- WHEN 'new' THEN least(last_price * COALESCE(1+rate,1) - last_price,greatest(py_gasp * COALESCE(1+rate,1) - last_price,0))
-- END price_increment
--FROM
-- pivot p
--)
--SELECT * FROM adj LIMIT 1000
----------------create a log entry--------------------
--,log AS (
-- INSERT INTO
-- rlarp.osm_log(doc)
-- SELECT
-- $${
-- "message":"application of last price and target increases to all forecast orders",
-- "tag":"last price",
-- "type":"build"
-- }$$::jsonb doc
-- RETURNING *
--)
--,poolprice AS (
--SELECT
-- i.stlc||'.'||i.colgrp||substring(i.sizc,1,3) product
-- ,o.quota_rep_descr
-- ,o.billto_group
-- ,o.shipto_group
-- ,order_season
-- ,sum(units) units
-- ,sum(value_loc) valloc
-- ,sum(value_usd) valusd
-- ,sum(o.value_loc)/sum(o.units) price
-- ,jsonb_agg(DISTINCT iter) iters
--FROM
-- rlarp.osm_pool o
-- ,rlarp.itemmv i
--WHERE
-- i.item = o.part
-- --AND o.units <> 0
-- ---only apply to 2022 orders----
-- AND o.order_date >= '2021-06-01'
-- --only include baseline stuff---
-- AND segm <> 'Retail'
--GROUP BY
-- i.stlc||'.'||i.colgrp||substring(i.sizc,1,3)
-- ,o.quota_rep_descr
-- ,o.billto_group
-- ,o.shipto_group
-- ,order_season
-- --AND iter <> 'upload price'
--)
--, pooladj AS (
-- SELECT
-- p.product
-- ,p.quota_rep_descr
-- ,p.billto_group
-- ,p.shipto_group
-- ,p.price
-- ,a.py_gasp
-- ,a.rate
-- ,a.last_price
-- ,a.price_increment
-- FROM
-- poolprice p
-- ,adj a
-- WHERE
-- a.product = p.product
-- AND a.account = p.billto_group
-- AND a.shipgrp = p.shipto_group
--)
--SELECT * FROM pooladj WHERE product ~ 'STG06000' AND shipto_group = 'BWI' limit 100
----SELECT * FROM poolprice WHERE product ~ 'TCA06600' AND shipto_group = 'BWI' AND quota_rep_descr = 'BRYAN HILL' LIMIT 1000
---------------build the iteration rows----------------
----,ins AS (
----SELECT
---- o.fspr
---- ,o.plnt ---master data
---- ,o.promo --history date mix
---- ,o.terms
---- ,o.bill_cust_descr --history cust mix
---- ,o.ship_cust_descr --history cust mix
---- ,o.dsm
---- ,o.quota_rep_descr --master data
---- ,o.director
---- ,o.billto_group --master data
---- ,o.shipto_group
---- ,o.chan --master data
---- ,o.chansub
---- ,o.chan_retail
---- ,o.part
---- ,o.part_descr
---- ,o.part_group
---- ,o.branding
---- ,o.majg_descr
---- ,o.ming_descr
---- ,o.majs_descr
---- ,o.mins_descr
---- ,o.segm
---- ,o.substance
---- ,o.fs_line --master data
---- ,o.r_currency --history cust mix
---- ,o.r_rate --master data
---- ,o.c_currency --master data
---- ,o.c_rate --master data
---- ,0::numeric units
---- ,ROUND(o.units * (a.price_increment/o.r_rate),2) value_loc
---- ,ROUND(o.units * a.price_increment,2) value_usd
---- ,0::numeric cost_loc
---- ,0::numeric cost_usd
---- ,o.calc_status --0
---- ,o.flag --0
---- ,o.order_date --history date mix
---- ,o.order_month
---- ,o.order_season
---- ,o.request_date --history date mix
---- ,o.request_month
---- ,o.request_season
---- ,o.ship_date --history date mix
---- ,o.ship_month
---- ,o.ship_season
---- ,o.version
---- ---this iteration has to be listed in the master template file in order to be effectively included---
---- ,'upload price' iter
---- ,log.id
---- ,COALESCE(log.doc->>'tag','') "tag"
---- ,log.doc->>'message' "comment"
---- ,log.doc->>'type' module
---- -----------debug columns---------
---- --,value_usd/units price
---- --,a.py_gasp
---- --,a.rate
---- --,a.last_price
---- --,a.price_increment
----FROM
---- rlarp.osm_pool o
---- ,rlarp.itemmv i
---- ,adj a
---- ,log
----WHERE
---- i.item = o.part
---- AND a.product = i.stlc||'.'||i.colgrp||substring(i.sizc,1,3)
---- AND a.account = o.billto_group
---- AND a.shipgrp = o.shipto_group
---- AND a.price_increment <> 0
---- AND o.units <> 0
---- ---only apply to 2022 orders----
---- AND o.order_date >= '2021-06-01'
---- --only include baseline stuff---
---- AND iter <> 'upload price'
----)
---------------aggregate the impact------------
------SELECT * FROM ins limit 10000
------SELECT
------ order_season
------ ,sum(value_loc) val_loc
------ ,sum(value_usd) val_usd
------FROM
------ ins
------GROUP BY
------ order_season;
----,del AS (
---- DELETE FROM rlarp.osm_pool WHERE iter = 'upload price' RETURNING *
----)
----INSERT INTO
---- rlarp.osm_pool
----SELECT * FROM ins;
----
----COMMIT;