258 lines
12 KiB
Plaintext
258 lines
12 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from spielbergerscripts.spielbergerscripts.storageunit import Product, Bundle, NVE\n",
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"from spielbergerscripts.spielbergerscripts.connector import IBMConnector"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"ibmconnect = IBMConnector(True)\n",
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"nveDict = ibmconnect.getNVETable()\n",
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"prodDict = ibmconnect.getProductsTable()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"extResource = dict()\n",
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"\n",
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"for nve in nveDict.values():\n",
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" prod = prodDict.get(nve.article)\n",
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"\n",
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" if not prod is None:\n",
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" if nve.area != '01' and nve.area != '02' and nve.area != prod.pickArea:\n",
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" extResource[(nve.article, nve.area, nve.vq)] = (prod.name, prod.bundle, extResource.get((nve.article, nve.area, nve.vq), ('', '', 0))[2] + nve.amount)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"ART_WU = set()\n",
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"\n",
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"for (pNr, area, vq), (pName, bundle, amount) in extResource.items():\n",
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" if area != '36' or bundle.strip() == \"25 KG\" or bundle.strip() == \"BIG-BAG\" or bundle.strip() == \"1000 ST\":\n",
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" continue\n",
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" print(f\"Lager {area}\\t{amount}x {pName.strip()} (#{pNr} / VQ{vq}) {bundle} auf Vorrat\")\n",
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" ART_WU.add(pNr)\n",
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"\n",
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"# zusätzlich\n",
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"ART_WU = ART_WU.union({\"062346\", \"062356\", \"062306\", \"062349\", \"062308\", \"062358\", \"062416\", \"104405\", \"104406\", \"104407\", \"104409\"})\n",
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"\n",
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"ART_WU = list(ART_WU)\n",
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"ART_WU.sort()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# IBM 11/09 - Negative Verfügbarkeit ausführen!"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"from openpyxl import load_workbook\n",
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"from openpyxl.styles import Color, PatternFill\n",
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"\n",
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"from dataclasses import dataclass\n",
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"from datetime import date, datetime, timedelta\n",
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"\n",
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"@dataclass\n",
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"class Request:\n",
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" ordernr: str\n",
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" cust_name: str\n",
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" delivdate: date\n",
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" artnr: str\n",
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" artname: str\n",
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" bundle: str\n",
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" stock: int\n",
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" ordered: int\n",
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" ord_rem: int\n",
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" available: int\n",
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" avail_wo_36:int\n",
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" upcoming: int\n",
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" upc_date: str\n",
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" upc_area: str\n",
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" comm_area: str\n",
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" stock00: int\n",
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" stock01: int\n",
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" stock33: int\n",
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" stock36: int\n",
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"\n",
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" def from_tuple(t):\n",
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" d = str(t[2])\n",
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" szd = f\"20{d[-2:]}-{d[-4:-2]}-{int(d[:-4]):02d}\"\n",
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" return Request(\n",
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" ordernr=str(t[0]),\n",
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" cust_name=str(t[1]).strip(),\n",
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" delivdate=date.fromisoformat(szd),\n",
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" artnr=str(t[3]),\n",
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" artname=str(t[4]),\n",
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" bundle=str(t[5]),\n",
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" stock=int(t[6]),\n",
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" ordered=int(t[7]),\n",
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" ord_rem=int(t[23]),\n",
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" available=int(t[9]),\n",
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" avail_wo_36=int(t[28]),\n",
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" upcoming=int(t[10]),\n",
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" upc_date=date.fromisoformat(f\"20{str(t[11])[-2:]}-{str(t[11])[-4:-2]}-{int(str(t[11])[:-4]):02d}\") if int(t[10]) > 0 else None,\n",
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" upc_area=str(t[12]),\n",
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" comm_area=t[18],\n",
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" stock00=int(t[24]),\n",
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" stock01=int(t[25]),\n",
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" stock33=int(t[26]),\n",
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" stock36=int(t[27]),\n",
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" )\n",
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"\n",
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"\n",
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"RED = Color(rgb='E6B8B7')\n",
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"\n",
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"FROM = datetime.now().date()\n",
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"TO = FROM + timedelta(days=14)\n",
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"\n",
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"if FROM.month == TO.month and FROM.year == TO.year:\n",
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" aufbes = list(map(lambda t: Request.from_tuple(t), ibmconnect.getNegAvail(FROM.day, TO.day, FROM.month, FROM.year)))\n",
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"else:\n",
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" temp_to = FROM + timedelta(days = 31 if FROM.day >= 15 else 20)\n",
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" temp_to = temp_to.replace(day = 1)\n",
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" print(f\"Temp to = {temp_to}\")\n",
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" temp_to = temp_to - timedelta(days=1)\n",
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" print(f\"Temp to = {temp_to}\")\n",
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" aufbes = list(map(lambda t: Request.from_tuple(t), ibmconnect.getNegAvail(FROM.day, temp_to.day, FROM.month, FROM.year)))\n",
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" temp_from = temp_to + timedelta(days=1)\n",
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" print(f\"Temp from = {temp_from}\")\n",
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" while temp_from.month < TO.month:\n",
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" temp_to = FROM + timedelta(days = 31 if FROM.day >= 15 else 20)\n",
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" temp_to = temp_to.replace(day=1)\n",
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" temp_to = temp_to - timedelta(days=1)\n",
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" aufbes.extend(map(lambda t: Request.from_tuple(t), ibmconnect.getNegAvail(temp_from.day, temp_to.day, temp_from.month, temp_from.year)))\n",
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" temp_from = temp_to + timedelta(days=1)\n",
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" \n",
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" # last month. temp_from is the current TO month\n",
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" aufbes.extend(map(lambda t: Request.from_tuple(t), ibmconnect.getNegAvail(temp_from.day, TO.day, temp_from.month, temp_from.year)))\n",
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" \n",
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"\n",
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"\n",
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"aufbes.sort(key = lambda a: a.delivdate)\n",
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"\n",
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"vorlage = load_workbook(\"Umfuhrplanung_Vorlage.xlsx\")\n",
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"\n",
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"for prodNr in ART_WU:\n",
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" aufbes_filt = [t for t in aufbes if t.artnr == prodNr]\n",
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"\n",
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" if len(aufbes_filt) > 0:\n",
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" prod = prodDict.get(prodNr)\n",
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" sheet = vorlage.copy_worksheet(vorlage[\"Vorlage\"])\n",
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" sheet.title = prodNr\n",
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" sheet['A1'] = f\"{prod.name.strip()} (#{prodNr})\"\n",
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" sheet['N1'] = f\"vom {FROM} bis inklussive {TO}\\n\\n\"\n",
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"\n",
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" first = aufbes_filt[0]\n",
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" bestand_00 = first.stock00\n",
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" bestand_01 = first.stock01\n",
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" bestand_33 = first.stock33\n",
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" bestand_36 = first.stock36\n",
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" \n",
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"\n",
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" we = first.upcoming\n",
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" we_dat = first.upc_date\n",
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" we_area = first.upc_area\n",
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" we_done = False\n",
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"\n",
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" sheet['C2'] = bestand_00\n",
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" sheet['E2'] = bestand_33\n",
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" sheet['G2'] = bestand_36\n",
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" sheet['B3'] = we\n",
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" sheet['D3'] = we_dat\n",
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"\n",
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" verbleibend = bestand_00\n",
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" bedarf_am = \"\"\n",
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" bedarf_durch = \"\"\n",
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" bedarf_auftrag = \"\"\n",
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" umfuhrmenge = 0\n",
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" umfuhr_an = \"\"\n",
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" auftrag = 0\n",
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" auftr_dennree = 0\n",
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" for t in aufbes_filt:\n",
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" if we > 0 and t.delivdate > we_dat:\n",
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" if we_area == \"00\":\n",
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" verbleibend += we\n",
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" \n",
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" sheet.append([\"\", \"Produktion\", we_dat, t.artnr, t.artname, t.bundle, \"\", f\"+{we}\", verbleibend, t.upcoming, t.upc_date, t.upc_area, t.stock00, t.stock01, t.stock33, t.stock36])\n",
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" we = 0\n",
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" if t.cust_name.strip() == \"dennree GmbH\":\n",
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" sheet.append([t.ordernr, t.cust_name, t.delivdate, t.artnr, t.artname, t.bundle, t.ordered, t.ord_rem, verbleibend, t.upcoming, t.upc_date, t.upc_area, t.stock00, t.stock01, t.stock33, t.stock36])\n",
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" for row in sheet.iter_cols(min_col=1, max_col=16, min_row=sheet.max_row, max_row=sheet.max_row):\n",
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" for cell in row:\n",
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" cell.fill = PatternFill(fgColor=RED, fill_type = 'solid')\n",
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" elif t.cust_name.strip() == \"Interne Umlagerung\":\n",
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" verbleibend += t.ordered\n",
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" sheet.append([t.ordernr, t.cust_name, t.delivdate, t.artnr, t.artname, t.bundle, t.ordered, f\"+{t.ordered}\", verbleibend, t.upcoming, t.upc_date, t.upc_area, t.stock00, t.stock01, t.stock33, t.stock36])\n",
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" else:\n",
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" verbleibend -= t.ord_rem\n",
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" sheet.append([t.ordernr, t.cust_name, t.delivdate, t.artnr, t.artname, t.bundle, t.ordered, t.ord_rem, verbleibend, t.upcoming, t.upc_date, t.upc_area, t.stock00, t.stock01, t.stock33, t.stock36])\n",
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" \n",
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" if we > 0:\n",
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" if we_area == \"00\":\n",
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" verbleibend += we\n",
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" \n",
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" sheet.append([\"\", \"Produktion\", we_dat, t.artnr, t.artname, t.bundle, \"\", f\"+{we}\", verbleibend, t.upcoming, t.upc_date, t.upc_area, t.stock00, t.stock01, t.stock33, t.stock36])\n",
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"\n",
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"vorlage.save(f\"Umfuhrplanung_{FROM}.xlsx\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"interpreter": {
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"hash": "2be5faf79681da6f2a61fdfdd5405d65d042280f7fba6178067603e3a2925119"
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},
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"kernelspec": {
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"display_name": "Python 3.10.0 64-bit",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.0"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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