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