fix(builds): fixed non used variables

there was a weird issue with the req.query that cause nothing to pull and make the excel files
lag..... now excel macros are using the csv pull from here and added in the xlsx to download to bc
why not makes it easier for later  and can have bbuttons for every thing in lst too :D

backend/datamart/datamart.controller.ts

@@ -37,6 +37,7 @@ const lstDbRun = async (data: Data) => {
 	if (data.options) {
 		if (data.name === "psiInventory") {
 			const ids = data.options.articles.split(",").map((id: any) => id.trim());
+
 			const whse = data.options.whseToInclude
 				? data.options.whseToInclude
 						.split(",")

backend/datamart/getDatamart.route.ts

@@ -1,4 +1,5 @@
 import { Router } from "express";
+import * as XLSX from "xlsx";
 import { apiReturn } from "../utils/returnHelper.utils.js";
 import { runDatamartQuery } from "./datamart.controller.js";
 
@@ -7,13 +8,73 @@ const r = Router();
 type Options = {
 	name: string;
 	value: string;
+	format: string;
 };
 
 r.get("/:name", async (req, res) => {
 	const { name } = req.params;
-	const options = req.query as Options;
-
+	const options = { ...req.query } as Options;
 	const dataRan = await runDatamartQuery({ name, options });
+
+	if (!dataRan.success) {
+		return apiReturn(res, {
+			success: false,
+			level: "error",
+			module: "datamart",
+			subModule: "query",
+			message: dataRan.message,
+			status: 500,
+		});
+	}
+
+	// XLSX Export
+	if (options.format?.toLowerCase() === "xlsx") {
+		const wb = XLSX.utils.book_new();
+
+		const ws = XLSX.utils.json_to_sheet(dataRan.data);
+
+		XLSX.utils.book_append_sheet(wb, ws, name);
+
+		const buffer = XLSX.write(wb, {
+			type: "buffer",
+			bookType: "xlsx",
+		});
+
+		res.setHeader(
+			"Content-Type",
+			"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+		);
+
+		res.setHeader("Content-Disposition", `attachment; filename="${name}.xlsx"`);
+
+		return res.send(buffer);
+	}
+
+	// CSV Export
+	if (options.format?.toLowerCase() === "csv") {
+		const rows = dataRan.data as any;
+
+		if (!rows.length) {
+			return res.status(200).send("");
+		}
+
+		const headers = Object.keys(rows[0]);
+
+		const csv = [
+			headers.join(","),
+			...rows.map((row: any) =>
+				headers
+					.map((h) => `"${String(row[h] ?? "").replace(/"/g, '""')}"`)
+					.join(","),
+			),
+		].join("\r\n");
+
+		res.setHeader("Content-Type", "text/csv");
+		res.setHeader("Content-Disposition", `attachment; filename="${name}.csv"`);
+
+		return res.send(csv);
+	}
+
 	return apiReturn(res, {
 		success: dataRan.success,
 		level: "info",

backend/db/schema/forecastImports.schema.ts

@@ -0,0 +1,22 @@
+import { jsonb, pgTable, text, timestamp, uuid } from "drizzle-orm/pg-core";
+import { createInsertSchema, createSelectSchema } from "drizzle-zod";
+import type { z } from "zod";
+
+export const forecastImport = pgTable("forecast_import", {
+	id: uuid("id").defaultRandom().primaryKey(),
+	receivingPlantId: text("receiving_plant_id").notNull(),
+	documentName: text("documentName"),
+	sender: text("sender"),
+	customerId: text("customer_id"),
+	rawData: jsonb("raw_data").default([]),
+	add_date: timestamp("add_date", { withTimezone: true }).defaultNow(),
+	add_user: text("add_user").default("lst-system"),
+	upd_date: timestamp("upd_date", { withTimezone: true }).defaultNow(),
+	upd_user: text("upd_user").default("lst-system"),
+});
+
+export const forecastImportSchema = createSelectSchema(forecastImport);
+export const newForecastImportSchema = createInsertSchema(forecastImport);
+
+export type ForecastImport = z.infer<typeof forecastImportSchema>;
+export type NeworecastImport = z.infer<typeof newForecastImportSchema>;

backend/dockdoorScanning/dockdoor.loadUnits.ts

@@ -27,6 +27,7 @@ const postScan = async (data: any) => {
 				loadingUnit: data.loadingUnit.sscc ?? data.loadingUnit.runningNo, // can be running number or sscc depending on where it came from
 				loadingUnitStatus: data.loadingUnitStatus, // TODO: add enums on the status of each load.
 				message: data.message, // the response it gave when scanning
+				status: data.status ?? undefined,
 			})
 			.returning()) as any;
 
@@ -76,6 +77,7 @@ const loadUnit = async (data: Data) => {
 			loadingUnitStatus: "notLoaded",
 			message:
 				"There are know current active loading orders please start one and try again.",
+			status: "error",
 		});
 		return returnFunc({
 			success: true,
@@ -86,7 +88,6 @@ const loadUnit = async (data: Data) => {
 				"There are know current active loading orders please start one and try again.",
 			data: [],
 			notify: false,
-			room: `dockDoorLoading:${data.dockId}`,
 		});
 	}
 	// check if its a valids an sscc
@@ -99,6 +100,7 @@ const loadUnit = async (data: Data) => {
 			loadingUnitStatus: "noread",
 			message:
 				"Failed to load the unit to the truck, there was no pallet read.",
+			status: "error",
 		});
 
 		return returnFunc({
@@ -110,7 +112,6 @@ const loadUnit = async (data: Data) => {
 				"Failed to load the unit to the truck, there was no pallet read.",
 			data: [],
 			notify: false,
-			room: `dockDoorLoading:${data.dockId}`,
 		});
 	}
 
@@ -137,6 +138,7 @@ const loadUnit = async (data: Data) => {
 				loadingUnit: unitToScan,
 				loadingUnitStatus: "notLoaded",
 				message: prod?.data.errors[0].message,
+				status: "error",
 			});
 
 			return returnFunc({

backend/dockdoorScanning/dockdoor.socket.seed.ts

@@ -12,7 +12,9 @@ export const getRecentDockScans = ({
 		where: (scans, { and, eq }) =>
 			and(
 				eq(scans.status, "active"),
-				loadingOrder ? eq(scans.loadingOrder, loadingOrder) : undefined,
+				loadingOrder
+					? eq(scans.loadingOrder, loadingOrder)
+					: eq(scans.loadingOrder, "0"),
 			),
 		orderBy: (scans, { desc }) => [desc(scans.upd_date)],
 		limit,

backend/logistics/logistics.dm.forecast.map.abbott.ts

@@ -0,0 +1,92 @@
+import XLSX from "xlsx";
+import { excelDateStuff } from "../utils/excelToDate.utils.js";
+import { postData } from "./logistics.dm.postData.js";
+
+export const abbottForecast = async (sheet: any, user: any) => {
+	/*
+	This is the forecast but will only be triggered when the actual sheet is passed over from the orders in. this is being done this way due to the truck list being sent over as well.
+	*/
+	const customerId = 8;
+	const posting: any = [];
+
+	const customHeaders = [
+		"date",
+		"time",
+		"newton8oz",
+		"newton10oz",
+		"E",
+		"F",
+		"fDate",
+		"f8ozqty",
+		"I",
+		"J",
+		"K",
+		"L",
+		"M",
+		"f10ozqty",
+	];
+	const forecastData = XLSX.utils.sheet_to_json(sheet, {
+		range: 5, // Start at row 5 (index 4)
+		header: customHeaders,
+		defval: "", // Default value for empty cells
+	});
+
+	for (let i = 1; i < forecastData.length; i++) {
+		const row: any = forecastData[i];
+		//console.log(row);
+		//if (row.fDate == undefined) continue;
+
+		if (row.fDate !== "") {
+			const date = isNaN(row.fDate)
+				? new Date(row.fDate)
+				: excelDateStuff(row.fDate);
+			// for 8oz do
+			if (row.f8ozqty > 0) {
+				posting.push({
+					customerArticleNo: "45300DA",
+					quantity: row.f8ozqty,
+					requirementDate: date,
+				});
+			}
+
+			if (row.f10ozqty > 0) {
+				posting.push({
+					customerArticleNo: "43836DA",
+					quantity: row.f10ozqty,
+					requirementDate: date,
+				});
+			}
+		}
+	}
+	// the predefined data that will never change
+	const predefinedObject = {
+		receivingPlantId: process.env.PROD_PLANT_TOKEN ?? "test1",
+		documentName: `ForecastFromLST-${new Date(Date.now()).toLocaleString(
+			"en-US",
+		)}`,
+		sender: user.username || "lst-system",
+		customerId: customerId,
+		positions: [],
+	};
+
+	// add the new forecast to the predefined data
+	const updatedPredefinedObject = {
+		...predefinedObject,
+		positions: [...predefinedObject.positions, ...posting],
+	};
+
+	const forecast: any = await postData(
+		{
+			type: "forecast",
+			endpoint: "/public/v1.0/DemandManagement/DELFOR",
+			data: updatedPredefinedObject as any,
+		},
+		user,
+	);
+
+	return {
+		success: forecast.success,
+		message: forecast.message,
+		data: forecast.data,
+	};
+};

backend/logistics/logistics.dm.forecast.map.energizer.ts

@@ -0,0 +1,86 @@
+import XLSX from "xlsx";
+import { excelDateStuff } from "../utils/excelToDate.utils.js";
+import { postData } from "./logistics.dm.postData.js";
+
+export const energizerForecast = async (data: any, user: any) => {
+	/**
+	 * Post a standard forecast based on the standard template.
+	 */
+	const buffer = Buffer.from(data.buffer);
+
+	const workbook = XLSX.read(buffer, { type: "buffer" });
+
+	const sheet: any = workbook.Sheets.Sheet1;
+	// const range = XLSX.utils.decode_range(sheet["!ref"]);
+
+	// const headers = [
+	// 	"CustomerArticleNumber",
+	// 	"Quantity",
+	// 	"RequirementDate",
+	// 	"CustomerID",
+	// ];
+
+	// formatting the data
+	const rows = XLSX.utils.sheet_to_json(sheet, { header: 1 }) as any;
+
+	const posting: any = [];
+	const customerId = 44;
+
+	for (let i = 1; i < rows.length; i++) {
+		const row: any = rows[i];
+		const material = row[0];
+
+		if (material === undefined) continue;
+		for (let j = 1; j < row.length; j++) {
+			const qty = row[j];
+
+			if (qty && qty > 0) {
+				const requirementDate = rows[0][j]; // first row is dates
+				const date = Number.isNaN(requirementDate)
+					? new Date(requirementDate)
+					: excelDateStuff(requirementDate);
+
+				posting.push({
+					customerArticleNo: material,
+					quantity: qty,
+					requirementDate: date,
+				});
+			}
+		}
+	}
+
+	//console.log(posting);
+
+	// the predefined data that will never change
+	const predefinedObject = {
+		receivingPlantId: process.env.PROD_PLANT_TOKEN ?? "test1",
+		documentName: `ForecastFromLST-${new Date(Date.now()).toLocaleString(
+			"en-US",
+		)}`,
+		sender: user.username || "lst-system",
+		customerId: customerId,
+		positions: [],
+	};
+
+	// add the new forecast to the predefined data
+	const updatedPredefinedObject = {
+		...predefinedObject,
+		positions: [...predefinedObject.positions, ...posting],
+	};
+
+	//post it
+	const forecastData: any = await postData(
+		{
+			type: "forecast",
+			endpoint: "/public/v1.0/DemandManagement/DELFOR",
+			data: updatedPredefinedObject as any,
+		},
+		user,
+	);
+
+	return {
+		success: forecastData.success,
+		message: forecastData.message,
+		data: forecastData.data,
+	};
+};

backend/logistics/logistics.dm.forecast.map.loreal.ts

@@ -0,0 +1,245 @@
+import { addDays } from "date-fns";
+import XLSX from "xlsx";
+import { runDatamartQuery } from "../datamart/datamart.controller.js";
+import {
+	type SqlQuery,
+	sqlQuerySelector,
+} from "../prodSql/prodSqlQuerySelector.utils.js";
+import { returnFunc } from "../utils/returnHelper.utils.js";
+//import { sendEmail } from "../utils/sendEmail.utils.js";
+import { tryCatch } from "../utils/trycatch.utils.js";
+import { postData } from "./logistics.dm.postData.js";
+
+const customerID = 4;
+export const lorealForecast = async (data: any, user: any) => {
+	/**
+	 * Post a standard forecast based on the standard template.
+	 */
+
+	const buffer = Buffer.from(data.buffer);
+
+	const workbook = XLSX.read(buffer, { type: "buffer" });
+
+	const sheet: any = workbook.Sheets["Alpla HDPE"];
+	const range = XLSX.utils.decode_range(sheet["!ref"]);
+
+	const psheet: any = workbook.Sheets["Alpla PET"];
+	const prange = XLSX.utils.decode_range(psheet["!ref"]);
+
+	const headers = [];
+	for (let C = range.s.c; C <= range.e.c; ++C) {
+		const cellAddress = XLSX.utils.encode_cell({ r: 1, c: C }); // row 0 = Excel row 1
+		const cell = sheet[cellAddress];
+		headers.push(cell ? cell.v : undefined);
+	}
+
+	const pheaders = [];
+	for (let C = prange.s.c; C <= prange.e.c; ++C) {
+		const cellAddress = XLSX.utils.encode_cell({ r: 1, c: C }); // row 0 = Excel row 1
+		const cell = psheet[cellAddress];
+		pheaders.push(cell ? cell.v : undefined);
+	}
+
+	const ebmForeCastData: any = XLSX.utils.sheet_to_json(sheet, {
+		defval: "",
+		header: headers,
+		range: 3,
+	});
+
+	const petForeCastData: any = XLSX.utils.sheet_to_json(psheet, {
+		defval: "",
+		header: pheaders,
+		range: 3,
+	});
+
+	const ebmForecastData: any = [];
+	const missingSku: any = [];
+
+	const avSQLQuery = sqlQuerySelector(`datamart.activeArticles`) as SqlQuery;
+
+	if (!avSQLQuery.success) {
+		return returnFunc({
+			success: false,
+			level: "error",
+			module: "logistics",
+			subModule: "forecast",
+			message: `Error getting Article info`,
+			data: [avSQLQuery.message],
+			notify: true,
+		});
+	}
+
+	const { data: a, error: ae } = await tryCatch(
+		runDatamartQuery({ name: "activeArticles", options: {} }),
+	);
+
+	if (ae) {
+		return {
+			success: false,
+			message: "Error getting active av",
+			data: [],
+		};
+	}
+
+	const article: any = a?.data;
+
+	//console.log(article);
+
+	// process the ebm forcast
+	for (let i = 0; i < ebmForeCastData.length; i++) {
+		// bottle code
+		const sku = ebmForeCastData[i]["HDPE Bottle Code"];
+
+		// ignore the blanks
+		if (sku === "") continue;
+
+		// ignore zero qty
+		// if (ebmForeCastData[i][`Day ${i}`]) continue;
+
+		for (let f = 0; f <= 90; f++) {
+			const day = `Day ${f + 1}`;
+			// if (ebmForeCastData[i][day] === 0) continue;
+
+			const forcast = {
+				customerArticleNo: sku,
+				requirementDate: addDays(new Date(Date.now()), f), //excelDateStuff(parseInt(date)),
+				quantity: ebmForeCastData[i][day] ?? 0,
+			};
+
+			if (forcast.quantity === 0) continue;
+
+			// checking to make sure there is a real av to add to.
+			const activeAV = article.filter(
+				(c: any) =>
+					c?.CustomerArticleNumber === forcast.customerArticleNo.toString(),
+			);
+
+			if (activeAV.length === 0) {
+				if (typeof forcast.customerArticleNo === "number") {
+					missingSku.push(forcast);
+				}
+				continue;
+			}
+
+			ebmForecastData.push(forcast);
+		}
+
+		//console.log(ebmForeCastData.length);
+	}
+
+	// pet forecast
+	for (let i = 0; i < petForeCastData.length; i++) {
+		// bottle code
+		const sku = petForeCastData[i]["South PET Bottle Code"];
+
+		// ignore the blanks
+		if (sku === "") continue;
+
+		// ignore zero qty
+		// if (ebmForeCastData[i][`Day ${i}`]) continue;
+
+		for (let f = 0; f <= 90; f++) {
+			const day = `Day ${f + 1}`;
+			// if (ebmForeCastData[i][day] === 0) continue;
+
+			const forcast = {
+				customerArticleNo: sku,
+				requirementDate: addDays(new Date(Date.now()), f), //excelDateStuff(parseInt(date)),
+				quantity: petForeCastData[i][day] ?? 0,
+			};
+
+			if (forcast.quantity === 0 || forcast.quantity === "") continue;
+
+			if (forcast.customerArticleNo < 99999) {
+				//console.log(`Sku a normal av ${forcast.customerArticleNo}`);
+				continue;
+			}
+
+			// checking to make sure there is a real av to add to.
+			const activeAV = article.filter(
+				(c: any) =>
+					c?.CustomerArticleNumber === forcast.customerArticleNo.toString(),
+			);
+
+			if (activeAV.length === 0) {
+				if (typeof forcast.customerArticleNo === "number") {
+					missingSku.push(forcast);
+				}
+				continue;
+			}
+
+			ebmForecastData.push(forcast);
+		}
+	}
+
+	//console.log(comForecast);
+
+	// email the  for the missing ones
+	// const missedGrouped = Object.values(
+	// 	missingSku.reduce((acc: any, item: any) => {
+	// 		const key = item.customerArticleNo;
+
+	// 		if (!acc[key]) {
+	// 			// first time we see this customer
+	// 			acc[key] = item;
+	// 		} else {
+	// 			// compare dates and keep the earliest
+	// 			if (
+	// 				new Date(item.requirementDate) < new Date(acc[key].requirementDate)
+	// 			) {
+	// 				acc[key] = item;
+	// 			}
+	// 		}
+
+	// 		return acc;
+	// 	}, {}),
+	// );
+
+	// TODO: change this to a flagged notification so that he users can subscribe or leave it. this removes the hardcody shit.
+	// const emailSetup = {
+	// 	email:
+	// 		"Blake.matthes@alpla.com; Stuart.Gladney@alpla.com; Harold.Mccalister@alpla.com; Jenn.Osbourn@alpla.com",
+	// 	subject:
+	// 		missedGrouped.length > 0
+	// 			? `Alert! There are ${missedGrouped.length}, missing skus.`
+	// 			: `Alert! There is a missing SKU.`,
+	// 	template: "missingLorealSkus",
+	// 	context: {
+	// 		items: missedGrouped,
+	// 	},
+	// };
+	// sendEmail(emailSetup);
+
+	// if the customerarticle number is not matching just ignore it
+	const predefinedObject = {
+		receivingPlantId: process.env.PROD_PLANT_TOKEN ?? "test1",
+		documentName: `ForecastFromLST-${new Date(Date.now()).toLocaleString(
+			"en-US",
+		)}`,
+		sender: user.username || "lst-system",
+		customerId: customerID,
+		positions: [],
+	};
+
+	const updatedPredefinedObject = {
+		...predefinedObject,
+		positions: [...predefinedObject.positions, ...ebmForecastData],
+	};
+	// console.log(updatedPredefinedObject);
+
+	// posting the data to the new backend so we can store the data.
+	const posting: any = await postData(
+		{
+			type: "forecast",
+			endpoint: "/public/v1.0/DemandManagement/DELFOR",
+			data: updatedPredefinedObject as any,
+		},
+		user,
+	);
+
+	return {
+		success: posting.success,
+		message: posting.message,
+		data: posting.data === "" ? ebmForecastData : posting.data,
+	};
+};

backend/logistics/logistics.dm.forecast.map.pNg.ts

@@ -0,0 +1,182 @@
+import XLSX from "xlsx";
+import { runDatamartQuery } from "../datamart/datamart.controller.js";
+import { db } from "../db/db.controller.js";
+import { settings } from "../db/schema/settings.schema.js";
+import {
+	type SqlQuery,
+	sqlQuerySelector,
+} from "../prodSql/prodSqlQuerySelector.utils.js";
+import { excelDateStuff } from "../utils/excelToDate.utils.js";
+import { returnFunc } from "../utils/returnHelper.utils.js";
+import { tryCatch } from "../utils/trycatch.utils.js";
+import { postData } from "./logistics.dm.postData.js";
+
+export const pNgForecast = async (data: any, user: any) => {
+	/**
+	 * Post a standard forecast based on the standard template.
+	 */
+
+	const { data: s, error: e } = await tryCatch(db.select().from(settings));
+
+	if (e) {
+		return {
+			sucess: false,
+			message: `Error getting settings`,
+			data: e,
+		};
+	}
+
+	const pNg = s.filter((n: any) => n.name === "pNgAddress");
+
+	const avSQLQuery = sqlQuerySelector(`datamart.activeArticles`) as SqlQuery;
+
+	if (!avSQLQuery.success) {
+		return returnFunc({
+			success: false,
+			level: "error",
+			module: "logistics",
+			subModule: "forecast",
+			message: `Error getting Article info`,
+			data: [avSQLQuery.message],
+			notify: true,
+		});
+	}
+
+	const { data: a, error: ae } = await tryCatch(
+		runDatamartQuery({ name: "activeArticles", options: {} }),
+	);
+
+	if (ae) {
+		return {
+			success: false,
+			message: "Error getting active av",
+			data: [],
+		};
+	}
+
+	const article: any = a?.data;
+
+	const buffer = Buffer.from(data.buffer);
+
+	const workbook = XLSX.read(buffer, { type: "buffer" });
+
+	//const sheet: any = workbook.Sheets[sheetName];
+	const sheet: any = workbook.Sheets["SchedAgreementUIConfigSpreadshe"];
+	const range = XLSX.utils.decode_range(sheet["!ref"]);
+
+	const headers = [];
+	for (let C = range.s.c; C <= range.e.c; ++C) {
+		const cellAddress = XLSX.utils.encode_cell({ r: 0, c: C }); // row 0 = Excel row 1
+		const cell = sheet[cellAddress];
+		headers.push(cell ? cell.v : undefined);
+	}
+
+	//console.log(headers);
+	const forecastData: any = XLSX.utils.sheet_to_json(sheet, {
+		defval: "",
+		header: headers,
+		range: 1,
+	});
+
+	const groupedByCustomer: any = forecastData.reduce((acc: any, item: any) => {
+		const id = item.CustomerID;
+		if (!acc[id]) {
+			acc[id] = [];
+		}
+		acc[id].push(item);
+		return acc;
+	}, {});
+
+	const foreCastData: any = [];
+
+	for (const [customerID, forecast] of Object.entries(groupedByCustomer)) {
+		//console.log(`Running for Customer ID: ${customerID}`);
+		const newForecast: any = forecast;
+
+		const predefinedObject = {
+			receivingPlantId: process.env.PROD_PLANT_TOKEN ?? "test1",
+			documentName: `ForecastFromLST-${new Date(Date.now()).toLocaleString(
+				"en-US",
+			)}`,
+			sender: user.username || "lst-system",
+			customerId: pNg[0]?.value,
+			positions: [],
+		};
+
+		// map everything out for each order
+		const nForecast = newForecast.map((o: any) => {
+			// const invoice = i.filter(
+			//     (i: any) => i.deliveryAddress === parseInt(customerID)
+			// );
+			// if (!invoice) {
+			//     return;
+			// }
+
+			return {
+				customerArticleNo: parseInt(o["Customer Item No."] ?? "0", 10),
+				requirementDate: excelDateStuff(parseInt(o["Request Date"] ?? "0", 10)),
+				quantity: o["Remaining Qty to be Shipped"],
+			};
+		});
+
+		// check to make sure the av belongs in this plant.
+		const onlyNumbers = nForecast.filter((n: any) => n.quantity > 0);
+		const filteredForecast: any = [];
+
+		for (let i = 0; i < nForecast.length; i++) {
+			//console.log(nForecast[i].customerArticleNo);
+			const activeAV = article.filter(
+				(c: any) =>
+					c?.CustomerArticleNumber ===
+						nForecast[i]?.customerArticleNo.toString() &&
+					// validate it works via the default address
+					c?.IdAdresse === parseInt(pNg[0]?.value ?? "139", 10),
+			);
+
+			if (activeAV.length > 0) {
+				filteredForecast.push(onlyNumbers[i]);
+			}
+		}
+
+		if (filteredForecast.length === 0) {
+			console.log("Nothing to post");
+			return {
+				success: true,
+				message: "No forecast to be posted",
+				data: foreCastData,
+			};
+		}
+
+		// do that fun combining thing
+		const updatedPredefinedObject = {
+			...predefinedObject,
+			positions: [...predefinedObject.positions, ...filteredForecast],
+		};
+
+		//console.log(updatedPredefinedObject);
+
+		// post the orders to the server
+		const posting: any = await postData(
+			{
+				type: "forecast",
+				endpoint: "/public/v1.0/DemandManagement/DELFOR",
+				data: updatedPredefinedObject as any,
+			},
+			user,
+		);
+
+		foreCastData.push({
+			customer: customerID,
+			//totalOrders: orders?.length(),
+			success: posting.success,
+			message: posting.message,
+			data: posting.data,
+		});
+	}
+
+	return {
+		success: foreCastData[0].success,
+		message: foreCastData[0].message,
+		data: foreCastData,
+	};
+};

backend/logistics/logistics.dm.forecast.map.standard.ts

@@ -0,0 +1,104 @@
+import * as XLSX from "xlsx";
+import { excelDateStuff } from "../utils/excelToDate.utils.js";
+import { postData } from "./logistics.dm.postData.js";
+export const standardForecast = async (data: any, user: any) => {
+	/**
+	 * Post a standard forecast based on the standard template.
+	 */
+
+	const plantToken = process.env.PROD_PLANT_TOKEN;
+
+	//const arrayBuffer = await data.arrayBuffer();
+	const buffer = Buffer.from(data.buffer);
+
+	const workbook = XLSX.read(buffer, { type: "buffer" });
+
+	const sheetName = workbook.SheetNames[0] as string;
+	const sheet = workbook.Sheets[sheetName] as any;
+
+	const headers = [
+		"CustomerArticleNumber",
+		"Quantity",
+		"RequirementDate",
+		"CustomerID",
+	];
+
+	const forecastData: any = XLSX.utils.sheet_to_json(sheet, {
+		defval: "",
+		header: headers,
+		range: 1,
+	});
+
+	const groupedByCustomer: any = forecastData.reduce((acc: any, item: any) => {
+		const id = item.CustomerID;
+		if (!acc[id]) {
+			acc[id] = [];
+		}
+		acc[id].push(item);
+		return acc;
+	}, {});
+
+	const foreCastData: any = [];
+
+	for (const [customerID, forecast] of Object.entries(groupedByCustomer)) {
+		//console.log(`Running for Customer ID: ${customerID}`);
+		const newForecast: any = forecast;
+
+		const predefinedObject = {
+			receivingPlantId: plantToken,
+			documentName: `ForecastFromLST-${new Date(Date.now()).toLocaleString(
+				"en-US",
+			)}`,
+			sender: user.username || "lst-system",
+			customerId: customerID,
+			positions: [],
+		};
+
+		// map everything out for each order
+		const nForecast = newForecast.map((o: any) => {
+			// const invoice = i.filter(
+			//     (i: any) => i.deliveryAddress === parseInt(customerID)
+			// );
+			// if (!invoice) {
+			//     return;
+			// }
+			return {
+				customerArticleNo: o.CustomerArticleNumber,
+				requirementDate: excelDateStuff(parseInt(o.RequirementDate)),
+				quantity: o.Quantity,
+			};
+		});
+
+		// do that fun combining thing
+		const updatedPredefinedObject = {
+			...predefinedObject,
+			positions: [...predefinedObject.positions, ...nForecast],
+		};
+
+		//console.log(updatedPredefinedObject);
+
+		// post the orders to the server
+		const posting: any = await postData(
+			{
+				type: "forecast",
+				endpoint: "/public/v1.0/DemandManagement/DELFOR",
+				data: updatedPredefinedObject as any,
+			},
+			user,
+		);
+
+		foreCastData.push({
+			customer: customerID,
+			//totalOrders: orders?.length(),
+			success: posting.success,
+			message: posting.message,
+			data: posting.data,
+		});
+	}
+
+	return {
+		success: foreCastData[0].success,
+		message: foreCastData[0].message,
+		data: foreCastData,
+	};
+};

backend/logistics/logistics.dm.forecast.route.ts

@@ -0,0 +1,95 @@
+import { Router } from "express";
+import multer from "multer";
+import { requireAuth } from "../middleware/auth.middleware.js";
+import { apiReturn } from "../utils/returnHelper.utils.js";
+import { energizerForecast } from "./logistics.dm.forecast.map.energizer.js";
+import { lorealForecast } from "./logistics.dm.forecast.map.loreal.js";
+import { pNgForecast } from "./logistics.dm.forecast.map.pNg.js";
+import { standardForecast } from "./logistics.dm.forecast.map.standard.js";
+
+type ForecastResult = {
+	success?: boolean;
+	message?: string;
+	data?: unknown;
+};
+
+const r = Router();
+
+const upload = multer({
+	storage: multer.memoryStorage(),
+});
+
+r.post("/", requireAuth, upload.single("file"), async (req, res) => {
+	if (!req.file) {
+		return apiReturn(res, {
+			success: false,
+			level: "error",
+			module: "dm",
+			subModule: "forecast",
+			message: "A file must be added to be able to run the forecast.",
+			data: [],
+			status: 400,
+		});
+	}
+
+	const { fileType } = req.body;
+
+	if (typeof fileType !== "string") {
+		return apiReturn(res, {
+			success: false,
+			level: "error",
+			module: "dm",
+			subModule: "forecast",
+			message: "A fileType must be provided.",
+			data: [],
+			status: 400,
+		});
+	}
+
+	//console.log("fileType:", req.body.fileType);
+
+	let result: ForecastResult;
+
+	switch (fileType) {
+		case "standard":
+			result = await standardForecast(req.file, req.user);
+			break;
+
+		case "loreal":
+			result = await lorealForecast(req.file, req.user);
+			break;
+
+		case "pg":
+			result = await pNgForecast(req.file, req.user);
+			break;
+
+		case "energizer":
+			result = await energizerForecast(req.file, req.user);
+			break;
+
+		default:
+			return apiReturn(res, {
+				success: false,
+				level: "error",
+				module: "dm",
+				subModule: "forecast",
+				message: `Invalid fileType: ${fileType}`,
+				data: [],
+				status: 400,
+			});
+	}
+
+	return apiReturn(res, {
+		success: result.success ?? false,
+		level: result.success ? "info" : "error",
+		module: "dm",
+		subModule: "forecast",
+		message: result.success
+			? "The forecast was accepted by Alplaprod 2.0 please check to make sure everything processed properly."
+			: (result.message as string),
+		data: result.data ?? ([] as any),
+		status: result.success ? 200 : 500,
+	});
+});
+
+export default r;

backend/logistics/logistics.dm.postData.ts

@@ -0,0 +1,65 @@
+import { db } from "../db/db.controller.js";
+import { forecastImport } from "../db/schema/forecastImports.schema.js";
+import { runProdApi } from "../utils/prodEndpoint.utils.js";
+import { returnFunc } from "../utils/returnHelper.utils.js";
+
+type PostData = {
+	receivingPlantId: string;
+	documentName: string;
+	sender: string;
+	customerId: string;
+	positions: unknown[];
+};
+type Data = {
+	type: "orders" | "forecast";
+	endpoint: string;
+	data: PostData;
+};
+export const postData = async (data: Data, user: any) => {
+	const posting = await runProdApi(
+		{
+			method: "post",
+			endpoint: data.endpoint,
+			data: [data.data],
+		},
+		"Forecast post",
+	);
+
+	if (!posting?.success) {
+		return returnFunc({
+			success: false,
+			level: "error",
+			module: "dm",
+			subModule: data.type === "orders" ? "orders" : "forecast",
+			message:
+				posting?.message ??
+				`Error in posting the ${data.type === "orders" ? "orders" : "forecast"} data`,
+			data: posting?.data ?? [],
+			notify: false,
+		});
+	}
+
+	if (posting.success) {
+		if (data.type === "forecast") {
+			await db.insert(forecastImport).values({
+				receivingPlantId: data.data.receivingPlantId ?? "test1",
+				documentName: data.data.documentName ?? "forecast-data-missing",
+				sender: data.data.sender ?? "lst-user",
+				customerId: data.data.customerId ?? "0",
+				rawData: data ?? [],
+				add_user: user.username ?? undefined,
+				upd_user: user.username ?? undefined,
+			});
+		}
+
+		return returnFunc({
+			success: true,
+			level: "info",
+			module: "dm",
+			subModule: data.type === "orders" ? "orders" : "forecast",
+			message: posting?.message ?? "",
+			data: (data.data as any) ?? [],
+			notify: false,
+		});
+	}
+};

backend/logistics/logistics.dm.template.route.ts

@@ -0,0 +1,79 @@
+import { format } from "date-fns";
+import { Router } from "express";
+import { requireAuth } from "../middleware/auth.middleware.js";
+import { excelTemplate, type Template } from "../utils/excelTemplates.utils.js";
+import { apiReturn } from "../utils/returnHelper.utils.js";
+import { tryCatch } from "../utils/trycatch.utils.js";
+
+const r = Router();
+
+r.get("/", requireAuth, async (req, res) => {
+	const { filename } = req.query;
+
+	const templateNames = ["orders", "forecast"];
+	if (typeof filename !== "string" || !templateNames.includes(filename)) {
+		return apiReturn(res, {
+			success: false,
+			level: "error",
+			module: "dm",
+			subModule: "template",
+			message: "You are required to pass over the template name.",
+			data: [],
+			status: 500,
+		});
+	}
+
+	const name = `${filename}-Template-${format(
+		new Date(Date.now()),
+		"M-d-yyyy",
+	)}.xlsx`;
+
+	const standardHeaders = [
+		"CustomerArticleNumber",
+		"CustomerOrderNumber",
+		"CustomerLineNumber",
+		"CustomerRealeaseNumber",
+		"Quantity",
+		"DeliveryDate",
+		"CustomerID",
+		"Remark",
+		// "InvoiceID",
+	];
+
+	const forecastHeaders = [
+		"CustomerArticleNumber",
+		"Quantity",
+		"RequirementDate",
+		"CustomerID",
+	];
+
+	const template = {
+		name,
+		headers: filename === "orders" ? standardHeaders : forecastHeaders,
+	} as Template;
+
+	//console.log(template);
+	const { data, error } = await tryCatch(excelTemplate(template));
+
+	if (error || !data) {
+		return apiReturn(res, {
+			success: false,
+			level: "error",
+			module: "dm",
+			subModule: "template",
+			message: "There was an error creating the Excel template.",
+			data: [],
+			status: 500,
+		});
+	}
+
+	res.set({
+		"Content-Type":
+			"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+		"Content-Disposition": `attachment; filename="${name}"`,
+	});
+
+	return res.status(200).send(data);
+});
+
+export default r;

backend/logistics/logistics.routes.ts

@@ -0,0 +1,21 @@
+import type { Express } from "express";
+import { featureCheck } from "../middleware/featureActive.middleware.js";
+import forecast from "./logistics.dm.forecast.route.js";
+import createTemplate from "./logistics.dm.template.route.js";
+
+export const setupLogisticsRoutes = (baseUrl: string, app: Express) => {
+	//stats will be like this as we dont need to change this
+
+	app.use(
+		`${baseUrl}/api/logistics/dm/template`,
+		featureCheck("demandManagement"),
+		createTemplate,
+	);
+	app.use(
+		`${baseUrl}/api/logistics/dm/forecast`,
+		featureCheck("demandManagement"),
+		forecast,
+	);
+
+	// all other system should be under /api/system/*
+};

backend/routeHandler.routes.ts

@@ -7,6 +7,7 @@ import { setupDatamartRoutes } from "./datamart/datamart.routes.js";
 import { setupDockDoorRoutes } from "./dockdoorScanning/dockdoor.routes.js";
 import { setupEomRoutes } from "./eom/eom.routes.js";
 import { setupGPSqlRoutes } from "./gpSql/gpSql.routes.js";
+import { setupLogisticsRoutes } from "./logistics/logistics.routes.js";
 import { setupMobileRoutes } from "./mobile/mobile.routes.js";
 import { setupNotificationRoutes } from "./notification/notification.routes.js";
 import { setupOCPRoutes } from "./ocp/ocp.routes.js";
@@ -18,13 +19,13 @@ import { setupUtilsRoutes } from "./utils/utils.routes.js";
 
 export const setupRoutes = (baseUrl: string, app: Express) => {
 	//routes that are on by default
+	setupDatamartRoutes(baseUrl, app);
 	setupMobileRoutes(baseUrl, app);
 	setupSystemRoutes(baseUrl, app);
 	setupAdminRoutes(baseUrl, app);
 	setupApiDocsRoutes(baseUrl, app);
 	setupProdSqlRoutes(baseUrl, app);
 	setupGPSqlRoutes(baseUrl, app);
-	setupDatamartRoutes(baseUrl, app);
 	setupAuthRoutes(baseUrl, app);
 	setupUtilsRoutes(baseUrl, app);
 	setupOpendockRoutes(baseUrl, app);
@@ -33,4 +34,5 @@ export const setupRoutes = (baseUrl: string, app: Express) => {
 	setupTCPRoutes(baseUrl, app);
 	setupDockDoorRoutes(baseUrl, app);
 	setupEomRoutes(baseUrl, app);
+	setupLogisticsRoutes(baseUrl, app);
 };

backend/server.ts

@@ -8,7 +8,7 @@ import { dbCleanup } from "./db/dbCleanup.controller.js";
 import { type Setting, settings } from "./db/schema/settings.schema.js";
 import { connectGPSql } from "./gpSql/gpSqlConnection.controller.js";
 import { createLogger } from "./logger/logger.controller.js";
-import { historicalSchedule } from "./logistics/logistics.historicalInv.js";
+import { historicalSchedule } from "./logistics/logistics.utils.historicalInv.js";
 import { startNotifications } from "./notification/notification.controller.js";
 import { sqlJobCleanUp } from "./notification/notification.SqlJobCleanUp.js";
 import { createNotifications } from "./notification/notifications.master.js";

backend/utils/excelTemplates.utils.ts

@@ -0,0 +1,49 @@
+import * as XLSX from "xlsx";
+
+export type Template = {
+	name: string;
+	headers: string[];
+};
+
+export const excelTemplate = async (data: Template) => {
+	/**
+	 * Creates the standard Template for bulk orders in
+	 */
+
+	// const headers = [
+	//     [
+	//         "CustomerArticleNumber",
+	//         "CustomerOrderNumber",
+	//         "CustomerLineNumber",
+	//         "CustomerRealeaseNumber",
+	//         "Quantity",
+	//         "DeliveryDate",
+	//         "CustomerID",
+	//         "Remark",
+	//         // "InvoiceID",
+	//     ],
+	// ];
+
+	// create a new workbook
+	const wb = XLSX.utils.book_new();
+	const ws = XLSX.utils.aoa_to_sheet([data.headers]);
+	//const ws2 = XLSX.utils.aoa_to_sheet(headers2);
+
+	const columnWidths = data.headers.map((header) => ({
+		width: header.length + 2,
+	}));
+
+	ws["!cols"] = columnWidths;
+
+	// append the worksheet to the workbook
+	XLSX.utils.book_append_sheet(wb, ws, `Sheet1`);
+	//XLSX.utils.book_append_sheet(wb, ws2, `Sheet2`);
+
+	// Creates the file to disk'
+	// XLSX.writeFile(wb, data.name);
+
+	// Write the workbook to a buffer and return it
+	const excelBuffer = XLSX.write(wb, { bookType: "xlsx", type: "buffer" });
+
+	return excelBuffer;
+};

backend/utils/excelToDate.utils.ts

@@ -0,0 +1,28 @@
+import { getJsDateFromExcel } from "excel-date-to-js";
+
+export const excelDateStuff = (serial: number, time?: any) => {
+	if (typeof serial !== "number" || serial <= 0) {
+		return "invalid Date";
+	}
+
+	// Default time to 8:00 AM if not provided
+	if (!time) {
+		time = 800;
+	}
+
+	// Get base date from Excel serial (this gives you UTC midnight)
+	const date = getJsDateFromExcel(serial);
+
+	const localOffset = new Date().getTimezoneOffset() / 60;
+	const hours = Math.floor(time / 100);
+	const minutes = time % 100;
+
+	// Set the time in UTC
+	date.setUTCHours(hours + localOffset);
+	date.setUTCMinutes(minutes);
+	date.setUTCSeconds(0);
+	date.setUTCMilliseconds(0);
+
+	//console.log(date.toISOString(), serial, time);
+	return date.toISOString();
+};

backend/utils/prodEndpoint.utils.ts

@@ -1,5 +1,6 @@
 import https from "node:https";
 import axios from "axios";
+import { createLogger } from "../logger/logger.controller.js";
 import { returnFunc } from "./returnHelper.utils.js";
 import { tryCatch } from "./trycatch.utils.js";
 
@@ -59,9 +60,14 @@ export const prodEndpointCreation = async (endpoint: string) => {
  * @param timeoutDelay
  * @returns
  */
-export const runProdApi = async (data: Data) => {
+export const runProdApi = async (data: Data, name?: string) => {
+	const log = createLogger({ module: "utils", subModule: "prodEndpoints" });
 	const url = await prodEndpointCreation(data.endpoint);
 
+	log.debug(
+		{ stack: data },
+		`Info passed over for ${name ? name : "Missing name"}`,
+	);
 	const { data: d, error } = await tryCatch(
 		axios({
 			method: data.method as string,
@@ -94,7 +100,7 @@ export const runProdApi = async (data: Data) => {
 				level: "error",
 				module: "utils",
 				subModule: "prodEndpoint",
-				message: "Data from prod endpoint",
+				message: "Error data from prod endpoint",
 				data: d.data,
 				notify: false,
 			});
@@ -104,10 +110,30 @@ export const runProdApi = async (data: Data) => {
 				level: "error",
 				module: "utils",
 				subModule: "prodEndpoint",
-				message: "Data from prod endpoint",
+				message: "Error data from prod endpoint",
 				data: d.data,
 				notify: false,
 			});
+		case 500:
+			return returnFunc({
+				success: false,
+				level: "error",
+				module: "utils",
+				subModule: "prodEndpoint",
+				message: "Error data from prod endpoint",
+				data: d.data,
+				notify: false,
+			});
+		default:
+			returnFunc({
+				success: false,
+				level: "error",
+				module: "utils",
+				subModule: "prodEndpoint",
+				message: "Unknown error encountered",
+				data: d?.data as any,
+				notify: false,
+			});
 	}
 
 	if (error) {

backend/utils/returnHelper.utils.ts

@@ -18,7 +18,8 @@ export interface ReturnHelper<T = unknown[]> {
 		| "admin"
 		| "mobile"
 		| "dockdoor"
-		| "eom";
+		| "eom"
+		| "dm";
 	subModule: string;
 
 	level: "info" | "error" | "debug" | "fatal" | "warn";

migrations/0064_magical_lady_mastermind.sql

@@ -0,0 +1,13 @@
+CREATE TABLE "forecast_import" (
+	"id" uuid PRIMARY KEY DEFAULT gen_random_uuid() NOT NULL,
+	"receiving_plant_id" text NOT NULL,
+	"documentName" text,
+	"sender" text,
+	"customer_id" text,
+	"raw_data" jsonb DEFAULT '[]'::jsonb,
+	"add_date" timestamp with time zone DEFAULT now(),
+	"add_user" text DEFAULT 'lst-system',
+	"upd_date" timestamp with time zone DEFAULT now(),
+	"upd_user" text DEFAULT 'lst-system',
+	CONSTRAINT "forecast_import_documentName_unique" UNIQUE("documentName")
+);

migrations/0065_jittery_ares.sql

@@ -0,0 +1 @@
+ALTER TABLE "forecast_import" DROP CONSTRAINT "forecast_import_documentName_unique";

migrations/meta/_journal.json

@@ -449,6 +449,20 @@
       "when": 1781045714275,
       "tag": "0063_illegal_mauler",
       "breakpoints": true
+    },
+    {
+      "idx": 64,
+      "version": "7",
+      "when": 1781425987022,
+      "tag": "0064_magical_lady_mastermind",
+      "breakpoints": true
+    },
+    {
+      "idx": 65,
+      "version": "7",
+      "when": 1781426193735,
+      "tag": "0065_jittery_ares",
+      "breakpoints": true
     }
   ]
 }

package-lock.json

@@ -25,6 +25,7 @@
 				"drizzle-kit": "^0.31.10",
 				"drizzle-orm": "^0.45.1",
 				"drizzle-zod": "^0.8.3",
+				"excel-date-to-js": "^1.1.5",
 				"express": "^5.2.1",
 				"husky": "^9.1.7",
 				"ldapts": "^8.1.7",
@@ -42,6 +43,7 @@
 				"powershell": "^2.3.3",
 				"socket.io": "^4.8.3",
 				"socket.io-client": "^4.8.3",
+				"xlsx": "^0.18.5",
 				"zod": "^4.3.6"
 			},
 			"devDependencies": {
@@ -3412,6 +3414,15 @@
 			"dev": true,
 			"license": "MIT"
 		},
+		"node_modules/adler-32": {
+			"version": "1.3.1",
+			"resolved": "https://registry.npmjs.org/adler-32/-/adler-32-1.3.1.tgz",
+			"integrity": "sha512-ynZ4w/nUUv5rrsR8UUGoe1VC9hZj6V5hU9Qw1HlMDJGEJw5S7TfTErWTjMys6M7vr0YWcPqs3qAr4ss0nDfP+A==",
+			"license": "Apache-2.0",
+			"engines": {
+				"node": ">=0.8"
+			}
+		},
 		"node_modules/agent-base": {
 			"version": "7.1.4",
 			"resolved": "https://registry.npmjs.org/agent-base/-/agent-base-7.1.4.tgz",
@@ -4301,6 +4312,19 @@
 				"url": "https://github.com/sponsors/sindresorhus"
 			}
 		},
+		"node_modules/cfb": {
+			"version": "1.2.2",
+			"resolved": "https://registry.npmjs.org/cfb/-/cfb-1.2.2.tgz",
+			"integrity": "sha512-KfdUZsSOw19/ObEWasvBP/Ac4reZvAGauZhs6S/gqNhXhI7cKwvlH7ulj+dOEYnca4bm4SGo8C1bTAQvnTjgQA==",
+			"license": "Apache-2.0",
+			"dependencies": {
+				"adler-32": "~1.3.0",
+				"crc-32": "~1.2.0"
+			},
+			"engines": {
+				"node": ">=0.8"
+			}
+		},
 		"node_modules/chai": {
 			"version": "6.2.2",
 			"resolved": "https://registry.npmjs.org/chai/-/chai-6.2.2.tgz",
@@ -4402,6 +4426,15 @@
 				"node": ">=0.8"
 			}
 		},
+		"node_modules/codepage": {
+			"version": "1.15.0",
+			"resolved": "https://registry.npmjs.org/codepage/-/codepage-1.15.0.tgz",
+			"integrity": "sha512-3g6NUTPd/YtuuGrhMnOMRjFc+LJw/bnMp3+0r/Wcz3IXUuCosKRJvMphm5+Q+bvTVGcJJuRvVLuYba+WojaFaA==",
+			"license": "Apache-2.0",
+			"engines": {
+				"node": ">=0.8"
+			}
+		},
 		"node_modules/color-convert": {
 			"version": "2.0.1",
 			"resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
@@ -7634,6 +7667,15 @@
 				"bare-events": "^2.7.0"
 			}
 		},
+		"node_modules/excel-date-to-js": {
+			"version": "1.1.5",
+			"resolved": "https://registry.npmjs.org/excel-date-to-js/-/excel-date-to-js-1.1.5.tgz",
+			"integrity": "sha512-grZW0MPye0VGCzLNljI7H22QWgrI8/hkTCvIUczYsQTTSaPQU/UTcz1fBPHNxWKpiv8Zu2I/98z+aAnlp6STNw==",
+			"license": "MIT",
+			"engines": {
+				"node": ">=4.2.4"
+			}
+		},
 		"node_modules/execa": {
 			"version": "5.1.1",
 			"resolved": "https://registry.npmjs.org/execa/-/execa-5.1.1.tgz",
@@ -8176,6 +8218,15 @@
 				"node": ">= 0.6"
 			}
 		},
+		"node_modules/frac": {
+			"version": "1.1.2",
+			"resolved": "https://registry.npmjs.org/frac/-/frac-1.1.2.tgz",
+			"integrity": "sha512-w/XBfkibaTl3YDqASwfDUqkna4Z2p9cFSr1aHDt0WoMTECnRfBOv2WArlZILlqgWlmdIlALXGpM2AOhEk5W3IA==",
+			"license": "Apache-2.0",
+			"engines": {
+				"node": ">=0.8"
+			}
+		},
 		"node_modules/fresh": {
 			"version": "2.0.0",
 			"resolved": "https://registry.npmjs.org/fresh/-/fresh-2.0.0.tgz",
@@ -12461,6 +12512,18 @@
 				"node": ">= 10.x"
 			}
 		},
+		"node_modules/ssf": {
+			"version": "0.11.2",
+			"resolved": "https://registry.npmjs.org/ssf/-/ssf-0.11.2.tgz",
+			"integrity": "sha512-+idbmIXoYET47hH+d7dfm2epdOMUDjqcB4648sTZ+t2JwoyBFL/insLfB/racrDmsKB3diwsDA696pZMieAC5g==",
+			"license": "Apache-2.0",
+			"dependencies": {
+				"frac": "~1.1.2"
+			},
+			"engines": {
+				"node": ">=0.8"
+			}
+		},
 		"node_modules/stackback": {
 			"version": "0.0.2",
 			"resolved": "https://registry.npmjs.org/stackback/-/stackback-0.0.2.tgz",
@@ -13581,6 +13644,24 @@
 				"node": ">=8"
 			}
 		},
+		"node_modules/wmf": {
+			"version": "1.0.2",
+			"resolved": "https://registry.npmjs.org/wmf/-/wmf-1.0.2.tgz",
+			"integrity": "sha512-/p9K7bEh0Dj6WbXg4JG0xvLQmIadrner1bi45VMJTfnbVHsc7yIajZyoSoK60/dtVBs12Fm6WkUI5/3WAVsNMw==",
+			"license": "Apache-2.0",
+			"engines": {
+				"node": ">=0.8"
+			}
+		},
+		"node_modules/word": {
+			"version": "0.3.0",
+			"resolved": "https://registry.npmjs.org/word/-/word-0.3.0.tgz",
+			"integrity": "sha512-OELeY0Q61OXpdUfTp+oweA/vtLVg5VDOXh+3he3PNzLGG/y0oylSOC1xRVj0+l4vQ3tj/bB1HVHv1ocXkQceFA==",
+			"license": "Apache-2.0",
+			"engines": {
+				"node": ">=0.8"
+			}
+		},
 		"node_modules/word-wrap": {
 			"version": "1.2.5",
 			"resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",
@@ -13674,6 +13755,27 @@
 				"url": "https://github.com/sponsors/sindresorhus"
 			}
 		},
+		"node_modules/xlsx": {
+			"version": "0.18.5",
+			"resolved": "https://registry.npmjs.org/xlsx/-/xlsx-0.18.5.tgz",
+			"integrity": "sha512-dmg3LCjBPHZnQp5/F/+nnTa+miPJxUXB6vtk42YjBBKayDNagxGEeIdWApkYPOf3Z3pm3k62Knjzp7lMeTEtFQ==",
+			"license": "Apache-2.0",
+			"dependencies": {
+				"adler-32": "~1.3.0",
+				"cfb": "~1.2.1",
+				"codepage": "~1.15.0",
+				"crc-32": "~1.2.1",
+				"ssf": "~0.11.2",
+				"wmf": "~1.0.1",
+				"word": "~0.3.0"
+			},
+			"bin": {
+				"xlsx": "bin/xlsx.njs"
+			},
+			"engines": {
+				"node": ">=0.8"
+			}
+		},
 		"node_modules/xmlhttprequest-ssl": {
 			"version": "2.1.2",
 			"resolved": "https://registry.npmjs.org/xmlhttprequest-ssl/-/xmlhttprequest-ssl-2.1.2.tgz",

package.json

@@ -83,6 +83,7 @@
 		"drizzle-kit": "^0.31.10",
 		"drizzle-orm": "^0.45.1",
 		"drizzle-zod": "^0.8.3",
+		"excel-date-to-js": "^1.1.5",
 		"express": "^5.2.1",
 		"husky": "^9.1.7",
 		"ldapts": "^8.1.7",
@@ -100,6 +101,7 @@
 		"powershell": "^2.3.3",
 		"socket.io": "^4.8.3",
 		"socket.io-client": "^4.8.3",
+		"xlsx": "^0.18.5",
 		"zod": "^4.3.6"
 	},
 	"config": {

tsconfig.json.bak

@@ -1,41 +0,0 @@
-{
-	"compilerOptions": {
-		"target": "ESNext",
-		"module": "NodeNext",
-		"moduleResolution": "nodenext",
-		"strict": true,
-		"verbatimModuleSyntax": true,
-		"types": ["node", "better-auth"],
-		"jsx": "react-jsx",
-		"outDir": "./dist",
-		"removeComments": true,
-		"allowJs": false,
-		"rootDir": "./backend",
-		"noUnusedLocals": true,
-		"noUnusedParameters": true,
-		"noFallthroughCasesInSwitch": true,
-		"noUncheckedIndexedAccess": true,
-		"exactOptionalPropertyTypes": true,
-		"baseUrl": ".",
-		"paths": {
-			"@/*": ["backend/*"],
-			"@features/*": ["backend/features/*"],
-			"@shared/*": ["backend/shared/*"],
-			"@config/*": ["backend/config/*"]
-		},
-		"esModuleInterop": true,
-		"skipLibCheck": true,
-		"forceConsistentCasingInFileNames": true,
-		"resolveJsonModule": true,
-		//"allowImportingTsExtensions": true,
-		"noEmit": false
-	},
-	"include": ["backend/**/*"],
-	"exclude": [
-		"node_modules",
-		"frontend",
-		"dist",
-		"lstDocs",
-		"database/testFiles",
-		"scripts"
-	]}