Added Backend
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174
backend/src/utils/functions.ts
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174
backend/src/utils/functions.ts
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import {FastifyInstance} from "fastify";
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// import { PNG } from 'pngjs'
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// import { ready as zplReady } from 'zpl-renderer-js'
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// import { Utils } from '@mmote/niimbluelib'
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// import { createCanvas } from 'canvas'
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// import bwipjs from 'bwip-js'
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// import Sharp from 'sharp'
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// import fs from 'fs'
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import { tenants } from "../../db/schema"
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import { eq } from "drizzle-orm"
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export const useNextNumberRangeNumber = async (
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server: FastifyInstance,
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tenantId: number,
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numberRange: string
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) => {
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// 1️⃣ Tenant laden
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const [tenant] = await server.db
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.select()
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.from(tenants)
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.where(eq(tenants.id, tenantId))
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if (!tenant) {
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throw new Error(`Tenant ${tenantId} not found`)
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}
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const numberRanges = tenant.numberRanges || {}
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if (!numberRanges[numberRange]) {
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throw new Error(`Number range '${numberRange}' not found`)
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}
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const current = numberRanges[numberRange]
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// 2️⃣ Used Number generieren
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const usedNumber =
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(current.prefix || "") +
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current.nextNumber +
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(current.suffix || "")
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// 3️⃣ nextNumber erhöhen
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const updatedRanges = {
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// @ts-ignore
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...numberRanges,
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[numberRange]: {
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...current,
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nextNumber: current.nextNumber + 1
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}
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}
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// 4️⃣ Tenant aktualisieren
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await server.db
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.update(tenants)
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.set({ numberRanges: updatedRanges })
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.where(eq(tenants.id, tenantId))
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return { usedNumber }
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}
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/*
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export async function encodeBase64ToNiimbot(base64Png, printDirection = 'top') {
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// 1️⃣ PNG dekodieren
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const buffer = Buffer.from(base64Png, 'base64')
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const png = PNG.sync.read(buffer) // liefert {width, height, data: Uint8Array(RGBA)}
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const { width, height, data } = png
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console.log(width, height, data)
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const cols = printDirection === 'left' ? height : width
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const rows = printDirection === 'left' ? width : height
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const rowsData = []
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console.log(cols)
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if (cols % 8 !== 0) throw new Error('Column count must be multiple of 8')
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// 2️⃣ Zeilenweise durchgehen und Bits bilden
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for (let row = 0; row < rows; row++) {
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let isVoid = true
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let blackPixelsCount = 0
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const rowData = new Uint8Array(cols / 8)
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for (let colOct = 0; colOct < cols / 8; colOct++) {
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let pixelsOctet = 0
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for (let colBit = 0; colBit < 8; colBit++) {
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const x = printDirection === 'left' ? row : colOct * 8 + colBit
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const y = printDirection === 'left' ? height - 1 - (colOct * 8 + colBit) : row
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const idx = (y * width + x) * 4
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const lum = 0.299 * data[idx] + 0.587 * data[idx + 1] + 0.114 * data[idx + 2]
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const isBlack = lum < 128
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if (isBlack) {
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pixelsOctet |= 1 << (7 - colBit)
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isVoid = false
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blackPixelsCount++
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}
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}
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rowData[colOct] = pixelsOctet
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}
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const newPart = {
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dataType: isVoid ? 'void' : 'pixels',
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rowNumber: row,
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repeat: 1,
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rowData: isVoid ? undefined : rowData,
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blackPixelsCount,
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}
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if (rowsData.length === 0) {
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rowsData.push(newPart)
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} else {
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const last = rowsData[rowsData.length - 1]
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let same = newPart.dataType === last.dataType
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if (same && newPart.dataType === 'pixels') {
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same = Utils.u8ArraysEqual(newPart.rowData, last.rowData)
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}
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if (same) last.repeat++
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else rowsData.push(newPart)
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if (row % 200 === 199) {
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rowsData.push({
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dataType: 'check',
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rowNumber: row,
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repeat: 0,
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rowData: undefined,
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blackPixelsCount: 0,
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})
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}
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}
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}
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return { cols, rows, rowsData }
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}
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export async function generateLabel(context,width,height) {
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// Canvas für Hintergrund & Text
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const canvas = createCanvas(width, height)
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const ctx = canvas.getContext('2d')
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// Hintergrund weiß
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ctx.fillStyle = '#FFFFFF'
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ctx.fillRect(0, 0, width, height)
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// Überschrift
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ctx.fillStyle = '#000000'
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ctx.font = '32px Arial'
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ctx.fillText(context.text, 20, 40)
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// 3) DataMatrix
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const dataMatrixPng = await bwipjs.toBuffer({
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bcid: 'datamatrix',
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text: context.datamatrix,
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scale: 6,
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})
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// Basisbild aus Canvas
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const base = await Sharp(canvas.toBuffer())
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.png()
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.toBuffer()
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// Alles zusammen compositen
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const final = await Sharp(base)
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.composite([
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{ input: dataMatrixPng, top: 60, left: 20 },
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])
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.png()
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.toBuffer()
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fs.writeFileSync('label.png', final)
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// Optional: Base64 zurückgeben (z.B. für API)
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const base64 = final.toString('base64')
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return base64
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}*/
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