327 lines
16 KiB
Plaintext
327 lines
16 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.connector import IBMConnector\n",
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"from spielbergerscripts.primitives.batch import Batch\n",
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"from spielbergerscripts.primitives.nve import NVE\n",
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"from spielbergerscripts.primitives.product import Product, Bundle\n",
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"from spielbergerscripts.helpers.functions import spiel_prefix\n",
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"\n",
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"from dataclasses import dataclass"
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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()\n",
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"batchDict = ibmconnect.getBatchData()"
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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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"@dataclass\n",
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"class ProductArea:\n",
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" prod_nr: str\n",
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" area: str\n",
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" amount: int\n",
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" batches: list()\n",
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"\n",
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" def from_batch(batch):\n",
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" return ProductArea(\n",
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" batch.art_nr, batch.area, 0, list()\n",
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" )\n",
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"\n",
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" def add_batch(self, batch):\n",
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" assert(batch.area == batch.area)\n",
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"\n",
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" self.amount += batch.amount\n",
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" self.batches.append(batch)\n",
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"\n",
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"\n",
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"@dataclass\n",
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"class ProductAreas:\n",
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" prod_nr: str\n",
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" areas: dict()\n",
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"\n",
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" def addBatch(self, batch):\n",
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" parea = self.areas.get(batch.area, ProductArea.from_batch(batch))\n",
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" parea.add_batch(batch)\n",
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"\n",
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" self.areas[batch.area] = parea\n",
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"\n",
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"prod_areas = dict()\n",
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"for prod_nr, batches in batchDict.items():\n",
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" prod = prodDict.get(prod_nr, None)\n",
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" if prod is None:\n",
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" # print(f\"Error on batch {batch}\")\n",
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" continue\n",
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"\n",
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" pa = ProductAreas(prod_nr, dict())\n",
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" for batch in batches:\n",
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" if batch.amount > 0 and (int(batch.vq) < 30 or int(batch.vq) == 39):\n",
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" pa.addBatch(batch)\n",
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"\n",
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" prod_areas[pa.prod_nr] = pa"
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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_EXT = dict()\n",
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"\n",
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"\n",
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"for prodarea in prod_areas.values():\n",
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" prod = prodDict[prodarea.prod_nr]\n",
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" if prod.bundle.strip() == \"25 KG\" or prod.bundle.strip() == \"20 KG\" or prod.bundle.strip() == \"BIG-BAG\" or prod.bundle.strip() == \"1000 ST\" or prod.bundle.strip() == \"LOSE\":\n",
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" continue\n",
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"\n",
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" ext_res = []\n",
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" for aid, area in prodarea.areas.items():\n",
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" if aid == prod.pickArea or (aid != \"00\" and aid != \"33\" and aid != \"36\"):\n",
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" continue\n",
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" if area.amount > 0:\n",
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" ext_res.append((aid, area))\n",
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" print(f\"Lager {aid}\\t{area.amount}x {prod.name.strip()} (#{prodarea.prod_nr}) {prod.bundle} auf Vorrat\")\n",
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"\n",
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" if ext_res:\n",
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" ART_EXT[prodarea.prod_nr] = ext_res\n",
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"\n",
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"L_ART_EXT = list(ART_EXT.keys())\n",
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"L_ART_EXT.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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"from spielbergerscripts.helpers.functions import spiel_prefix\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=spiel_prefix(str(t[3]), True),\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 L_ART_EXT:\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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" pareas = prod_areas.get(prodNr, None)\n",
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" if pareas is None:\n",
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" print(f\"Produktareas nicht gefunden: {prodNr}\")\n",
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"\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['F1'] = f\"Kommiort {prod.pickArea}\"\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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" verbleibend = {\n",
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" \"00\": pareas.areas.get(\"00\").amount if \"00\" in pareas.areas else 0,\n",
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" \"01\": pareas.areas.get(\"01\").amount if \"01\" in pareas.areas else 0,\n",
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" \"05\": pareas.areas.get(\"05\").amount if \"05\" in pareas.areas else 0,\n",
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" \"33\": pareas.areas.get(\"33\").amount if \"33\" in pareas.areas else 0,\n",
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" \"36\": pareas.areas.get(\"36\").amount if \"36\" in pareas.areas else 0,\n",
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" }\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'] = verbleibend[\"00\"]\n",
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" sheet['E2'] = verbleibend[\"33\"]\n",
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" sheet['G2'] = verbleibend[\"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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" verbleibendL = verbleibend\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 not we_area in {\"00\", \"05\", \"33\", \"36\"}:\n",
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" print(f\"Unable to handle we of {prod_nr} in area {we_area}\")\n",
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" if we_area != \"05\":\n",
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" verbleibendL[we_area] += we\n",
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" else:\n",
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" verbleibendL[prod.pickArea] += we\n",
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" \n",
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" sheet.append([\"\", \"Produktion\", we_dat, t.artnr, t.artname, t.bundle, \"\", f\"+{we}\", verbleibendL[\"00\"], verbleibendL[\"01\"], verbleibendL[\"33\"], verbleibendL[\"36\"], 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, verbleibendL[\"00\"], verbleibendL[\"01\"], verbleibendL[\"33\"], verbleibendL[\"36\"], 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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" verbleibendL[\"00\"] += 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}\", verbleibendL[\"00\"], verbleibendL[\"01\"], verbleibendL[\"33\"], verbleibendL[\"36\"], 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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" verbleibendL[t.comm_area] -= 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, verbleibendL[\"00\"], verbleibendL[\"01\"], verbleibendL[\"33\"], verbleibendL[\"36\"], 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 not we_area in {\"00\", \"05\", \"33\", \"36\"}:\n",
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" print(f\"Unable to handle we of {prod_nr} in area {we_area}\")\n",
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" if we_area != \"05\":\n",
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" verbleibendL[we_area] += we\n",
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" else:\n",
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" verbleibendL[prod.pickArea] += we\n",
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" \n",
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" sheet.append([\"\", \"Produktion\", we_dat, t.artnr, t.artname, t.bundle, \"\", f\"+{we}\", *verbleibendL.values(), 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": "3.10.1"
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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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