pt/pivot_forecast
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target fc.live as the sales data. splice in the table joins however many date based function there are

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Paul Trowbridge 2020-11-09 23:45:18 -05:00
parent f382d256ed
commit 1deab0fd96
1 changed files with 29 additions and 12 deletions
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41
generate_sql/gen_baseline.sql
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@ -10,12 +10,33 @@ DECLARE
_actpy text;
_sql text;
_baseline text;
_date_funcs text[];
_perd_joins text;
BEGIN
-----------------populate application variables--------------------------------------------
SELECT (SELECT cname FROM fc.target_meta WHERE appcol = 'order_date') INTO _order_date;
SELECT (SELECT cname FROM fc.target_meta WHERE appcol = 'ship_date') INTO _ship_date;
SELECT (SELECT cname FROM fc.target_meta WHERE appcol = 'order_status') INTO _order_status;
SELECT array_agg(func) INTO _date_funcs FROM fc.target_meta WHERE dtype = 'date' AND fkey is NOT null;
SELECT
string_agg(
'LEFT OUTER JOIN fc.perd '||func||' ON'||
$$
$$||'live.'||fkey||' <@ '||func||'.drange'
,E'\n')
INTO
_perd_joins
FROM
fc.target_meta
WHERE
dtype = 'date'
AND fkey IS NOT NULL;
CREATE TABLE IF NOT EXISTS fc.sql(cmd text PRIMARY KEY, t text );
-------------------------------build a column list----------------------------------------
-------------------------------build a column list-----------------------------------------
SELECT
string_agg(format('%I',cname),E'\n ,' ORDER BY opos ASC)
INTO
@ -25,7 +46,7 @@ FROM
WHERE
func NOT IN ('version');
---------------------------build column to increment dates--------------------------------
---------------------------build column to increment dates---------------------------------
SELECT
string_agg(
@ -39,10 +60,6 @@ WHERE
--RAISE NOTICE 'build list: %',clist;
SELECT (SELECT cname FROM fc.target_meta WHERE appcol = 'order_date') INTO _order_date;
SELECT (SELECT cname FROM fc.target_meta WHERE appcol = 'ship_date') INTO _ship_date;
SELECT (SELECT cname FROM fc.target_meta WHERE appcol = 'order_status') INTO _order_status;
--------------------------------------clone the actual baseline-----------------------------------------------
SELECT
@ -53,18 +70,18 @@ $a$SELECT
,'forecast_name' "version"
,'actuals' iter
FROM
rlarp.osm_dev o
fc.live o$b$||E'\n'||_perd_joins||$c$
WHERE
(
--base period orders booked....
$b$||_order_date||$c$ BETWEEN [app_baseline_from_date] AND [app_baseline_to_date]
$c$||_order_date||$d$ BETWEEN [app_baseline_from_date] AND [app_baseline_to_date]
--...or any open orders currently booked before cutoff....
OR ($c$||_order_status||$d$ IN ([app_openstatus_code]) and $d$||_order_date||$e$ <= [app_openorder_cutoff])
OR ($d$||_order_status||$e$ IN ([app_openstatus_code]) and $e$||_order_date||$f$ <= [app_openorder_cutoff])
--...or anything that shipped in that period
OR ($e$||_ship_date||$f$ BETWEEN [app_baseline_from_date] AND [app_baseline_to_date])
OR ($f$||_ship_date||$g$ BETWEEN [app_baseline_from_date] AND [app_baseline_to_date])
)
--be sure to pre-exclude unwanted items, like canceled orders, non-gross sales, and short-ships
$f$::text
$g$::text
INTO
_ytdbody;
@ -80,7 +97,7 @@ $$
,'forecast_name' "version"
,'plug' iter
FROM
rlarp.osm_dev o
fc.live o
WHERE
$$||_order_date||$$ BETWEEN [app_plug_fromdate] AND [app_plug_todate]
--be sure to pre-exclude unwanted items, like canceled orders, non-gross sales, and short-ships