pivot_forecast/index.js

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JavaScript
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#!/usr/bin/env node
require('dotenv').config();
const express = require('express');
var https = require('https');
var bodyParser = require('body-parser');
const server = express();
const pg = require('pg');
var fs = require('fs');
var readline = require('readline');
//-----------------------------point to ssl info------------------------------------
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var options = {
key: fs.readFileSync(process.env.wd + 'key.pem'),
cert: fs.readFileSync(process.env.wd + 'cert.pem'),
passprase: []
};
//-----------------------------create server process--------------------------------
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https.createServer(options, server).listen(process.env.nodeport, () => {
console.log('started on ' + process.env.nodeport)
});
//-----------------------------create permanent database connetion------------------
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var Postgres = new pg.Client({
user: process.env.user,
password: process.env.password,
host: process.env.host,
port: process.env.port,
database: process.env.database,
ssl: false,
application_name: "ps_api"
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});
Postgres.connect();
//------------create a callable sql exec func that return first rows----------------
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Postgres.FirstRow = function(inSQL, args, inResponse) {
Postgres.query(inSQL, args, (err, res) => {
if (err === null) {
inResponse.json(res[1].rows[0]);
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return;
}
console.log(err.stack);
inResponse.json(err.stack);
});
};
//------------route to test if the process is running-------------------------------
server.get('/', (req, res) => res.send('pivotscale api is running'))
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//------------build forecast baseline that is a mirror of the target period---------
server.get('/baseline', bodyParser.json(), function(req, res) {
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var sql = "";
var path = './routes/baseline/baseline.sql';
var args = [];
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var app_baseline_from_date = req.body.app_baseline_from_date;
var app_baseline_to_date = req.body.app_baseline_to_date;
var app_first_forecast_date = req.body.app_first_forecast_date;
var app_openorder_cutoff = req.body.app_openorder_cutoff;
var app_plug_fromdate = req.body.app_plug_fromdate;
var app_plug_todate = req.body.app_plug_todate;
var app_openstatus_code = req.body.app_openstatus_code;
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var callback = function(arg) {
sql = arg;
console.log(new Date().toISOString() + "-------------------------baseline build-----------------------------")
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console.log(req.body);
//parse the where clause into the main sql statement
//sql = sql.replace(new RegExp("where_clause", 'g'), w)
sql = sql.replace(new RegExp("app_baseline_from_date", 'g'), app_baseline_from_date);
sql = sql.replace(new RegExp("app_baseline_to_date", 'g'), app_baseline_to_date);
sql = sql.replace(new RegExp("app_first_forecast_date", 'g'), app_first_forecast_date);
sql = sql.replace(new RegExp("app_openorder_cutoff", 'g'), app_openorder_cutoff);
sql = sql.replace(new RegExp("app_openstatus_code", 'g'), app_openstatus_code);
sql = sql.replace(new RegExp("app_plug_fromdate", 'g'), app_plug_fromdate);
sql = sql.replace(new RegExp("app_plug_todate", 'g'), app_plug_todate);
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//execute the sql and send the result
args.push(req.body.app_baseline_from_date);
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console.log(sql);
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//res.send(sql);
Postgres.FirstRow(sql, [], res)
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};
fs.readFile(path, 'utf8', function(err, data) {
if (!err) {
callback(data);
} else {
console.log("fatal error pulling sql file")
callback(err);
}
});
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})
//------------scale a selected slice by the specified amounts-----------------------
server.get('/scale', bodyParser.json(), function(req, res) {
var sql = "";
var w = ""; //holds the where
var c = 1; //flag if body is empty
var d = 1;
var path = './routes/scale/scale.sql';
var args = [];
var app_pincr = req.body.app_pincr;
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var app_req = JSON.stringify(req.body);
var app_vincr = req.body.app_vincr;
var callback = function(arg) {
sql = arg;
({ c, w, d } = build_where(req, c, w, d, args));
//if there was no body sent, return with nothing
//if (c == 1) {
// res.send("no body was sent");
// return;
//}
console.log(new Date().toISOString() + "-------------------------baseline build-----------------------------")
console.log(req.body);
//parse the where clause into the main sql statement
//sql = sql.replace(new RegExp("where_clause", 'g'), w)
sql = sql.replace(new RegExp("app_pincr", 'g'), app_pincr);
sql = sql.replace(new RegExp("app_req", 'g'), app_req);
sql = sql.replace(new RegExp("app_vincr", 'g'), app_vincr);
sql = sql.replace(new RegExp("app_where", 'g'), w);
//execute the sql and send the result
args.push(req.body.app_baseline_from_date);
console.log(sql);
res.send(sql);
//Postgres.FirstRow(sql, [], res)
};
fs.readFile(path, 'utf8', function(err, data) {
if (!err) {
callback(data);
} else {
console.log("fatal error pulling sql file")
callback(err);
}
});
})
function build_where(req, c, w, d, args) {
//loop through each top level item expected to be a simple key/value list reflecting the column and the target value
// "part":"XFRM500", "customer":"Sanford and Son" --> SQL --> part = 'XFRM500'
// AND customer = 'Sanford and Son'
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for (var i in req.body.app_scenario) {
//console.log(i);
///console.log(req.body[i]);
//this step applies the AND seperator only
if (c > 1) {
w = w +
`
AND `;
}
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if (Array.isArray(req.body.app_scenario[i])) {
//if the scenario key has a value that is an array of items, push it into an `IN` statement
//iter = [stage1, stage2] --> SQL --> iter IN ('stag1', stage2')
w = w + i + " IN (";
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for (var j in req.body.app_scenario[i]) {
if (d > 1) {
w = w + ",";
}
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w = w + "'" + req.body.app_scenario[i][j] + "'";
d = d + 1;
}
w = w + ")";
} else {
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w = w + i + " = '" + req.body.app_scenario[i] + "'";
}
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args.push(req.body.app_scenario[i]);
c = c + 1;
};
return { c, w, d };
}