--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)
)
,chx AS (
    SELECT * FROM ( VALUES
        ('DIRECT','DIR','Direct'),
        ('DISTRIB DROP SHIP','DRP','Drop'),
        ('DISTRIBUTOR','WHS','Warehouse')
    ) x(xchan, chan, tchan)
)
,ds AS (
    SELECT * FROM ( VALUES
        ('B','X','BASE','Base',''),
        ('B','L','BASE LABELED','Base','L'),
        ('B','P','BASE PRINTED','Base','P'),
        ('C','X','COLOR','Color',''),
        ('C','L','COLOR LABELED','Color','L'),
        ('C','P','COLOR PRINTED','Color','P')
    ) x(colgrp, brand, dataseg, tcol, tbrand)
)
---customer dba assigned price levels---------
,dbap AS (
    SELECT
        dba
        ,jsonb_agg(DISTINCT plevel) plev
        ,jsonb_agg(DISTINCT plcd) plist
    FROM
        rlarp.cust c
        INNER JOIN rlarp.sachdef sd ON
            sd.plev = c.plevel
            AND '2020-05-31' between sd.fdate AND sd.tdate
    WHERE
        pricing <> ''
        AND dba <> ''
    GROUP BY 
        dba
)
----customer dba price list pricing------
,plist AS (
    SELECT
         dbap.dba
        ,dbap.plev
        ,dbap.plist
        ,jcplcd
        ,jcpart
        ,jcunit
        --,jcvoll
        -----just use the lowest volume price for the part-----
        ,min(jcpric) jcpric
    FROM
        dbap
        INNER JOIN lgdat.iprcc cc ON
            dbap.plist ? cc.jcplcd
    WHERE
        jcunit = 'M'
    GROUP BY
         dbap.dba
        ,dbap.plev
        ,dbap.plist
        ,jcplcd
        ,jcpart
        ,jcunit
)
------------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.chan
        ,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 ~ 'AMA P' and product = 'AMK06000.CBXX' 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
        ,round(sum(val_usd) FILTER (WHERE oseas = 2021)/sum(units) FILTER (WHERE oseas = 2021),5) cy_gasp
    FROM
        p
    GROUP BY
        product
        ,majg
        ,assc
        ,chgrp
)
--SELECT * FROM baseline WHERE product = 'AMK06000.CBXX' 
--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
    ,jsonb_agg(DISTINCT part) item
    ,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
    ,ms.avg_price target
    ,JSONB_AGG(DISTINCT plist.jcpric/1000) jcpric
    --,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'
    -----convert to target price channels---------
    LEFT OUTER JOIN chx ON
        chx.chan = p.chan
    -----convert to target price product level----
    LEFT OUTER JOIN ds ON
        ds.colgrp = p.colgrp
        AND ds.brand = substring(p.sizc,3,1)
    LEFT OUTER JOIN pricequote.market_setavgprice ms ON
        ms.mold = substring(p.product,1,8)
        AND ms.chan = chx.xchan
        AND ms.data_segment = ds.dataseg
        AND ms.season = '2021'
        AND ms.region = 'ALL'
    LEFT OUTER JOIN plist ON
        plist.dba = p.account
        AND plist.jcpart = p.part
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
    ,ms.avg_price
    ,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.chgrp
        ,pp.fc_units
        ,pp.fc_price
        ,pp.iters
        --,p.item
        ,p.py_gasp
        ,p.cy_units
        ,p.py_asp
        ,p.last_price
        ,p.last_order
        ,p.target
        ,p.rate
        ,p.jcpric
        --need to link in targets pricing and price list for cap purposes---------
        --also need to link regional price lists so we don't blow past those------
        ,least(
            min(
                COALESCE(p.py_asp,p.last_price),
                COALESCE(py_gasp,target)
            ) * (1 + p.rate),
            jcprice->>0
        ) fc_price
        --last season price + % capped at list or py_gasp + %
        --last price + % capped at list or pg_gasp + %
    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 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 *
--)
---------------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;