160 lines
4.0 KiB
SQL
160 lines
4.0 KiB
SQL
WITH
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req AS (SELECT $$app_req$$::jsonb j)
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,target AS (
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SELECT
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(req.j->>'app_vincr')::numeric vincr --volume
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,(req.j->>'app_pincr')::numeric pincr --price
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FROM
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req
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)
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-----this block is supposed to test for new products that might not be in baseline etc-------
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,test AS (
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SELECT
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sum(app_units) FILTER (WHERE app_iter <> 'ACTUALS') total
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,sum(app_units) FILTER (WHERE app_iter = 'baseline') base
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FROM
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fc.dcard o
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WHERE
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app_where
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)
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,ilog AS (
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INSERT INTO
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fc.log (doc)
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SELECT
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req.j
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FROM
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req
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RETURNING *
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)
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------need to group basemix and forego any detail iterations
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,basemix AS (
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SELECT
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o.id
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,o.logid
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,o."Trans. Date"
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,o."Post Date"
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,o."Description"
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,sum(o."Amount") AS "Amount"
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,o."Category"
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,o."Party"
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,o."Reason"
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,sum(o.app_units) AS app_units
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,'app_forecast_name' AS app_version
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,'scale' AS app_iter
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,0::bigint AS app_logid
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FROM
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fc.dcard o
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WHERE
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app_where
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GROUP BY
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o.id
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,o.logid
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,o."Trans. Date"
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,o."Post Date"
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,o."Description"
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,o."Category"
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,o."Party"
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,o."Reason"
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),
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vscale AS (
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SELECT
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(SELECT vincr FROM target) AS target_increment
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,sum(app_units) AS units
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,CASE WHEN sum(app_units) = 0 THEN 0 ELSE (SELECT vincr FROM target)/sum(app_units) END AS factor
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FROM
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basemix
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)
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,volume_only AS (
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SELECT
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o.id
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,o.logid
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,o."Trans. Date"
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,o."Post Date"
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,o."Description"
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,round(o."Amount" * vscale.factor,2) AS "Amount"
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,o."Category"
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,o."Party"
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,o."Reason"
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,round(o.app_units * vscale.factor,5) AS app_units
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,'app_forecast_name' AS app_version
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,'scale volume' AS app_iter
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,(SELECT id FROM ilog) AS app_logid
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FROM
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basemix o
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CROSS JOIN vscale
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WHERE
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vscale.factor <> 0
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)
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,volume AS (
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SELECT * FROM volume_only
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UNION ALL
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SELECT * FROM basemix WHERE (SELECT factor FROM vscale) = 0
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)
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,pscale AS (
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SELECT
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(SELECT pincr FROM target) AS target_increment
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,sum("Amount") AS value
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,CASE WHEN (SELECT sum("Amount") FROM volume) = 0 THEN
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--if the base value is -0- scaling will not work, need to generate price, factor goes to -0-
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0
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ELSE
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CASE WHEN (SELECT factor FROM vscale) = 0
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--if the incoming volume dataset has just basemix data, then create an absolute factor and multiply by basemix
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THEN (SELECT pincr FROM target)/(SELECT sum("Amount") FROM volume)
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--if the incoming volume table already has an adjusment, just need to create a true-up factor
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--multiplying by the raw factor without adding 1 will work since this data set will be added to the volume data set
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ELSE ((SELECT pincr FROM target)-(SELECT sum("Amount") FROM volume))/(SELECT sum("Amount") FROM volume)
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END
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END factor
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,CASE WHEN (SELECT sum("Amount") FROM volume) = 0 THEN
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CASE WHEN ((SELECT pincr::numeric FROM target) - (SELECT sum("Amount") FROM volume)) <> 0 THEN
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--if the base value is -0- but the target value hasn't been achieved, derive a price to apply
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((SELECT pincr::numeric FROM target) - (SELECT sum("Amount") FROM volume))/(SELECT sum(app_units) FROM volume)
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ELSE
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0
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END
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ELSE
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0
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END mod_price
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FROM
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volume
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)
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,pricing AS (
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SELECT
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o.id
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,o.logid
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,o."Trans. Date"
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,o."Post Date"
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,o."Description"
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,round((CASE WHEN pscale.factor = 0 THEN o.app_units * pscale.mod_price ELSE o."Amount" * pscale.factor END)::numeric,2) AS "Amount"
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,o."Category"
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,o."Party"
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,o."Reason"
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,0::numeric AS app_units
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,'app_forecast_name' AS app_version
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,'scale price' AS app_iter
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,(SELECT id FROM ilog) AS app_logid
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FROM
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volume o
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CROSS JOIN pscale
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WHERE
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pscale.factor <> 0 or pscale.mod_price <> 0
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)
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,ins AS (
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INSERT INTO
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fc.dcard
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SELECT
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*
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FROM
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volume_only
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UNION ALL
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SELECT
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*
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FROM
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pricing
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RETURNING *
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)
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SELECT count(*) num_rows FROM ins
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