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e33633db5f
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e33633db5f | |||
08aa6ad678 |
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{"num_rows":"257845"}
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@ -34,6 +34,7 @@ TO-DO:
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- [x] setup something to fill in sql parameters to do testing on the function
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- [ ] update node to handle forecast name parameter
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- [ ] clean up SQL generation to prevent injection
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- [ ] calc status is hard-coded right now in the json request -> probably needs to be manuall supplied up front
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running problem list
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----------------------------------------------------------------------------------------------------------------------------------------------------
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@ -1 +1 @@
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curl -H "Content-Type: application/json" -X GET -d@./routes/baseline/req.json https://localhost:8082/baseline --insecure > baseline.sql
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curl -H "Content-Type: application/json" -X GET -d@./routes/baseline/req.json https://localhost:8082/baseline --insecure > baseline
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13
routes/edit_meta/readmeta.sql
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13
routes/edit_meta/readmeta.sql
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SELECT
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tname
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,cname
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,opos
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,func
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,fkey
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,pretty
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,dtype
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,mastcol
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,appcol
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,dateref
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FROM
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fc.target_meta
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192
routes/scale/gen_scale.sql
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192
routes/scale/gen_scale.sql
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DO
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$func$
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DECLARE
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_clist text;
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_clist_inc text;
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_ytdbody text;
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_order_date text;
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_ship_date text;
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_order_status text;
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_actpy text;
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_sql text;
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_baseline text;
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_date_funcs jsonb;
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_perd_joins text;
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_interval interval;
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/*----------------parameters listing--------------
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app_baseline_from_date
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app_baseline_to_date
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app_first_forecast_date
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app_openorder_cutoff
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app_openstatus_code
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app_plug_fromdate
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app_plug_todate
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------------------------------------------------*/
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BEGIN
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-----------------populate application variables--------------------------------------------
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SELECT (SELECT cname FROM fc.target_meta WHERE appcol = 'order_date') INTO _order_date;
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SELECT (SELECT cname FROM fc.target_meta WHERE appcol = 'ship_date') INTO _ship_date;
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SELECT (SELECT cname FROM fc.target_meta WHERE appcol = 'order_status') INTO _order_status;
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--the target interval
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SELECT interval '1 year' INTO _interval;
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SELECT jsonb_agg(func) INTO _date_funcs FROM fc.target_meta WHERE dtype = 'date' AND fkey is NOT null;
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--create table join for each date based func in target_meta joining to fc.perd static table
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--the join, though, should be based on the target date, which is needs an interval added to get to the target
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SELECT
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string_agg(
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'LEFT OUTER JOIN fc.perd '||func||' ON'||
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$$
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$$||'(o.'||fkey||' + interval '||format('%L',_interval) ||' )::date <@ '||func||'.drange'
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,E'\n')
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INTO
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_perd_joins
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FROM
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fc.target_meta
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WHERE
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dtype = 'date'
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AND fkey IS NOT NULL;
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CREATE TABLE IF NOT EXISTS fc.sql(cmd text PRIMARY KEY, t text );
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-------------------------------build a column list-----------------------------------------
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SELECT
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string_agg('o.'||format('%I',cname),E'\n ,' ORDER BY opos ASC)
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INTO
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_clist
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FROM
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fc.target_meta
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WHERE
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func NOT IN ('version');
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---------------------------build column to increment dates---------------------------------
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SELECT
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string_agg(
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CASE
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--if you're dealing with a date function...
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WHEN _date_funcs ? func THEN
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CASE
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--...but it's not the date itself...
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WHEN fkey IS NULL THEN
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--...pull the associated date field from perd table
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func||'.'||m.dateref
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--...and it's the primary key date...
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ELSE
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--use the date key but increment by the target interval
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--this assumes that the primary key for the func is a date, but it has to be or it wont join anyways
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'o.'||fkey||' + interval '||format('%L',_interval) ||' AS '||fkey
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END
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ELSE
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'o.'||format('%I',cname)
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END
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,E'\n ,' ORDER BY opos ASC
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)
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INTO
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_clist_inc
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FROM
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fc.target_meta m
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WHERE
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func NOT IN ('version');
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--RAISE NOTICE 'build list: %',clist;
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--------------------------------------clone the actual baseline-----------------------------------------------
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SELECT
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$$SELECT
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$$::text||
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_clist||
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$$
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,'forecast_name' "version"
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,'actuals' iter
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FROM
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fc.live o
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WHERE
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(
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--base period orders booked....
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$$||_order_date||$$ BETWEEN 'app_baseline_from_date'::date AND 'app_baseline_to_date'::date
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--...or any open orders currently booked before cutoff....
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OR ($$||_order_status||$$ IN (app_openstatus_code) and $$||_order_date||$$ <= 'app_openorder_cutoff'::date)
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--...or anything that shipped in that period
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OR ($$||_ship_date||$$ BETWEEN 'app_baseline_from_date'::date AND 'app_baseline_to_date'::date)
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)
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--be sure to pre-exclude unwanted items, like canceled orders, non-gross sales, and short-ships
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$$::text
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INTO
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_ytdbody;
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--RAISE NOTICE '%', _ytdbody;
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------------------------------------pull a plug from actuals to create a full year baseline------------------
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SELECT
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$$SELECT
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$$||_clist_inc||
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$$
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,'forecast_name' "version"
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,'plug' iter
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FROM
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fc.live o$$||E'\n'||_perd_joins||$$
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WHERE
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$$||_order_date||$$ BETWEEN 'app_plug_fromdate'::date AND 'app_plug_todate'::date
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--be sure to pre-exclude unwanted items, like canceled orders, non-gross sales, and short-ships
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$$
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INTO
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_actpy;
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------------------------------copy a full year and increment by 1 year for the baseline-------------------------
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SELECT
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--$$INSERT INTO
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-- fc.live
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$$,incr AS (
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SELECT
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$$||_clist_inc||
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$$
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,'forecast_name' "version"
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,'baseline' iter
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FROM
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baseline o$$||E'\n'||_perd_joins||$$
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)
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,ins AS (
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INSERT INTO
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fc.live
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SELECT
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*
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FROM
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incr i
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WHERE
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i.$$||_order_date||$$ >= 'app_first_forecast_date'::date$$||$$
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OR i.$$||_ship_date||$$ >= 'app_first_forecast_date'::date$$||$$
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RETURNING *
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)
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SELECT COUNT(*) num_rows FROM ins$$
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--any orders in the forecast period, or any sales in the forecast period (from open orders)
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INTO
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_baseline;
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------------------------------stack the sql into the final format------------------------------------------------
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SELECT
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$$DELETE FROM fc.live WHERE version = 'forecast_name';
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WITH
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baseline AS (
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$$||_ytdbody||
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$$UNION ALL
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$$||_actpy
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||$$)
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$$||_baseline
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INTO
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_sql;
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INSERT INTO fc.sql SELECT 'baseline', _sql ON CONFLICT ON CONSTRAINT sql_pkey DO UPDATE SET t = EXCLUDED.t;
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END
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$func$;
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---SELECT * FROM fc.sql;
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28
routes/scale/req.json
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28
routes/scale/req.json
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{
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"scenario": {
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"quota_rep_descr": "TINA PETTIGREW",
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"substance": "Plastic",
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"chan": "DIR",
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"billto_group": "H&A MASTRONARDI",
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"shipto_group": "H&A MASTRONARDI",
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"majg_descr": "110 - INJECTION",
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"part_descr": "HWA13000E21B025LZBLD - 13.00 WRAPT HP CHOCOLATE",
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"version": "b21",
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"iter": [
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"copy",
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"adj volume",
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"adj price",
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"upload volume",
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"upload price"
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]
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},
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"stamp": "2020-02-19 17:03:38",
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"user": "Trowbridge, Paul",
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"source": "adj",
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"message": "2% on volume and price",
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"tag": "standard price",
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"version": "b21",
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"type": "scale_vp",
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"qty": 453.60,
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"amount": 728.43624
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}
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