update addmonth_v to manifest iteration changes
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parent
45fc2255eb
commit
2352a898be
25
index.js
25
index.js
@ -104,6 +104,7 @@ server.get('/scenario_package', bodyParser.json(), function (req, res) {
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//parse the where clause into the main sql statement
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sql = sql.replace(new RegExp("where_clause",'g'),w)
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//execute the sql and send the result
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//console.log(sql);
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Postgres.FirstRow(sql,[],res)
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};
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@ -122,7 +123,8 @@ server.post('/addmonth_v', bodyParser.json(), function (req, res) {
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var sql = "";
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var w = "";
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var c = 1;
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var c = 1; //counts iterations through each scaenario key
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var d = 1; //counts cycles in scenario key values which are arrays
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var args = [];
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var path = './route_sql/addmonth_vd.sql';
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@ -137,7 +139,21 @@ server.post('/addmonth_v', bodyParser.json(), function (req, res) {
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`
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AND `
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}
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w = w + i + " = '" + req.body.scenario[i] + "'";
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if (Array.isArray(req.body.scenario[i])){
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//if the scenario key has a value that is an array of items, push it into an `IN` statement
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//iter = [stage1, stage2] --> SQL --> iter IN ('stag1', stage2')
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w = w + i + " IN (";
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for (var j in req.body.scenario[i]){
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if (d>1){
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w = w + ",";
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}
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w = w + "'" + req.body.scenario[i][j] + "'";
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d = d + 1;
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}
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w = w + ")"
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} else {
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w = w + i + " = '" + req.body.scenario[i] + "'";
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}
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args.push(req.body.scenario[i]);
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c = c + 1;
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};
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@ -151,7 +167,12 @@ server.post('/addmonth_v', bodyParser.json(), function (req, res) {
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sql = sql.replace(new RegExp("scenario = target_scenario",'g'),w);
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sql = sql.replace(new RegExp("target_increment",'g'),req.body.amount);
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sql = sql.replace(new RegExp("target_month",'g'),req.body.month);
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sql = sql.replace(new RegExp("replace_version",'g'),req.body.scenario.version);
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sql = sql.replace(new RegExp("replace_iteration",'g'),"tool volume");
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sql = sql.replace(new RegExp("replace_iterdet",'g'),"addmonth_vd");
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sql = sql.replace(new RegExp("replace_iterdef",'g'),JSON.stringify(req.body));
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//console.log(sql);
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console.log(sql)
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Postgres.FirstRow(sql,[],res)
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}
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@ -4,12 +4,11 @@
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"ship_month": "Mar",
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"order_season": 2019,
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"order_month": "Mar",
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"version": "9p3"
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"version": "9p3",
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"iter": [
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"forecast"
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]
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},
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"version": "9p3",
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"iter": [
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"forecast"
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],
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"adj_amount": -1248994,
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"adj_qty": -2828623,
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"tar_amount": 5335749,
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@ -17,5 +16,5 @@
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"stamp": "2019-03-01 10:00:00",
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"user": "Trowbridge, Paul",
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"type": "scale_vp",
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"source":"forecast ui"
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"source": "forecast ui"
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}
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@ -213,8 +213,6 @@ SELECT
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,null::date adj_orderdate --history
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,null::date adj_requestdate --history
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,null::date adj_shipdate --history
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,'b20' "version" --calculated
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,'adjustment' iter --calculated
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---------------ui columns-------------------------
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,null::numeric order_season
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,null::text order_month
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@ -251,8 +249,6 @@ SELECT
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-----------------scenario----------------------------
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scenario = target_scenario
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-----------------additional params-------------------
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AND version = 'b20'
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AND iter = 'copy'
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AND calc_status||flag <> 'CLOSEDREMAINDER' --exclude short ships when building order adjustments
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AND adj_orderdate <= adj_shipdate
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GROUP BY
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@ -398,11 +394,11 @@ SELECT
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,make_date(mseq.yr + 2020,mseq.cal,m.odom) adj_orderdate
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,make_date(mseq.yr + 2020,mseq.cal,m.odom) + rlag adj_requestdate
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,make_date(mseq.yr + 2020,mseq.cal,m.odom) + rlag + slag adj_shipdate
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,b.version --calculated
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,b.iter --calculated
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,'replace_version' "version" --calculated
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,'replace_iteration' iter --calculated
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-----------------------ui columns--------------------------------
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,'adjust volume' iterdet
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,null::jsonb iterdef
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,'replace_iterdet' iterdet
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,$$replace_iterdef$$::jsonb iterdef
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,od.ssyr order_season
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,to_char(make_date(mseq.yr + 2020,mseq.cal,m.odom),'Mon') order_month
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,sd.ssyr ship_season
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@ -71,12 +71,12 @@ GROUP BY
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,seq
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,SUM(units) FILTER (WHERE order_season = 2019) "2019 qty"
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,SUM(units) FILTER (WHERE order_season = 2020 AND iter = 'copy') "2020 base qty"
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,SUM(units) FILTER (WHERE order_season = 2020 AND iter = 'adjustment') "2020 adj qty"
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,SUM(units) FILTER (WHERE order_season = 2020 AND iter IN ('copy','adjustment')) "2020 tot qty"
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,SUM(units) FILTER (WHERE order_season = 2020 AND iter <> 'copy') "2020 adj qty"
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,SUM(units) FILTER (WHERE order_season = 2020) "2020 tot qty"
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,SUM(value_usd) FILTER (WHERE order_season = 2019) "2019 value_usd"
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,SUM(value_usd) FILTER (WHERE order_season = 2020 AND iter = 'copy') "2020 base value_usd"
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,SUM(value_usd) FILTER (WHERE order_season = 2020 AND iter = 'adjustment') "2020 adj value_usd"
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,SUM(value_usd) FILTER (WHERE order_season = 2020 AND iter IN ('copy','adjustment')) "2020 tot value_usd"
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,SUM(value_usd) FILTER (WHERE order_season = 2020 AND iter <> 'copy') "2020 adj value_usd"
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,SUM(value_usd) FILTER (WHERE order_season = 2020) "2020 tot value_usd"
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FROM
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months
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GROUP BY
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