refactor(dm): mapped remainder of the forecast. will need to run backup test

the test server wouldnt do the backup so waiting on this one

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 +1,282 @@
+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);
+	}
+
+	// petForeCastData.forEach((item: any, index: any) => {
+	//     //console.log(`Processing item ${index + 1} of ${forecastData.length}`);
+
+	//     // Extract the customer code
+	//     const customerCode = item["SOUTH PET BOTTLES"];
+
+	//     // Process each date in the current object
+	//     for (const [date, qty] of Object.entries(item)) {
+	//         // Skip metadata fields
+	//         if (petMetadataFields.includes(date)) continue;
+
+	//         if (qty === 0) continue;
+
+	//         // Create your transformed record
+	//         const record = {
+	//             customerArticleNo: customerCode,
+	//             requirementDate: excelDateStuff(parseInt(date)),
+	//             quantity: qty,
+	//         };
+
+	//         // Do something with this record
+	//         petForecastData.push(record);
+	//     }
+	// });
+
+	// 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,
+
+			// ...ebmForecastData.filter(
+			//     (q: any) =>
+			//         q.customerArticleNo != "" && q.customerArticleNo != "Total"
+			// ),
+			// ...petForecastData.filter(
+			//     (q: any) =>
+			//         q.customerArticleNo != "" && q.customerArticleNo != "Total"
+			// ),
+		],
+	};
+	// 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."]),
+				requirementDate: excelDateStuff(parseInt(o["Request Date"])),
+				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

@@ -1,6 +1,6 @@
 import * as XLSX from "xlsx";
 import { excelDateStuff } from "../utils/excelToDate.utils.js";
-import { postForecast } from "./logistics.dm.postForecast.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.
@@ -78,7 +78,14 @@ export const standardForecast = async (data: any, user: any) => {
 		//console.log(updatedPredefinedObject);
 
 		// post the orders to the server
-		const posting: any = await postForecast(updatedPredefinedObject, user);
+		const posting: any = await postData(
+			{
+				type: "forecast",
+				endpoint: "/public/v1.0/DemandManagement/DELFOR",
+				data: updatedPredefinedObject as any,
+			},
+			user,
+		);
 
 		foreCastData.push({
 			customer: customerID,

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

@@ -2,7 +2,10 @@ import { Router } from "express";
 import multer from "multer";
 import { requireAuth } from "../middleware/auth.middleware.js";
 import { apiReturn } from "../utils/returnHelper.utils.js";
-import { standardForecast } from "./logsitcs.dm.forecast.map.standard.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;
@@ -53,18 +56,15 @@ r.post("/", requireAuth, upload.single("file"), async (req, res) => {
 			break;
 
 		case "loreal":
-			`result = await lorealForecast(req.file, req.user);`;
-			result = { success: true, message: "standardForecast", data: [] };
+			result = await lorealForecast(req.file, req.user);
 			break;
 
 		case "pg":
-			`result = await pNgForecast(req.file, req.user);`;
-			result = { success: true, message: "standardForecast", data: [] };
+			result = await pNgForecast(req.file, req.user);
 			break;
 
 		case "energizer":
-			`result = await energizerForecast(req.file, req.user);`;
-			result = { success: true, message: "standardForecast", data: [] };
+			result = await energizerForecast(req.file, req.user);
 			break;
 
 		default:

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.postForecast.ts

@@ -1,49 +0,0 @@
-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";
-
-export const postForecast = async (data: any, user: any) => {
-	const forecast = await runProdApi(
-		{
-			method: "post",
-			endpoint: "/public/v1.0/DemandManagement/DELFOR",
-			data: [data],
-		},
-		"Forecast post",
-	);
-
-	if (!forecast?.success) {
-		return returnFunc({
-			success: false,
-			level: "error",
-			module: "dm",
-			subModule: "forecast",
-			message: forecast?.message ?? "Error in posting the forecast data",
-			data: forecast?.data ?? [],
-			notify: false,
-		});
-	}
-
-	if (forecast.success) {
-		await db.insert(forecastImport).values({
-			receivingPlantId: data.receivingPlantId ?? "test1",
-			documentName: data.documentName ?? "forecast-data-missing",
-			sender: data.sender ?? "lst-user",
-			customerId: data.customerId ?? "0",
-			rawData: data ?? [],
-			add_user: user.username ?? undefined,
-			upd_user: user.username ?? undefined,
-		});
-
-		return returnFunc({
-			success: true,
-			level: "info",
-			module: "dm",
-			subModule: "forecast",
-			message: forecast?.message ?? "",
-			data: data ?? [],
-			notify: false,
-		});
-	}
-};