{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from rectpack import newPacker\n",
    "import rectpack.packer as packer\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_solution(all_rects, pal_812, pal_1012):\n",
    "    # Plot\n",
    "    plt.figure(figsize=(10,10))\n",
    "    # Loop all rect\n",
    "    for rect in all_rects:\n",
    "        b, x, y, w, h, rid = rect\n",
    "        x1, x2, x3, x4, x5 = x, x+w, x+w, x, x\n",
    "        y1, y2, y3, y4, y5 = y, y, y+h, y+h,y\n",
    "\n",
    "        # Pallet type\n",
    "        if [w, h] == pal_812:\n",
    "            color = '--k'\n",
    "        else:\n",
    "            color = '--r'\n",
    "\n",
    "        plt.plot([x1,x2,x3,x4,x5],[y1,y2,y3,y4,y5], color)\n",
    "    \n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function Solver\n",
    "def solver(n_812, n_1012, bins):\n",
    "    # Pallets to load\n",
    "    rectangles = [pal_812 for i in range(n_812)] + [pal_1012 for i in range(n_1012)]\n",
    "    \n",
    "    # Build the Packer\n",
    "    pack = newPacker(mode = packer.PackingMode.Offline, bin_algo = packer.PackingBin.Global,\n",
    "                     rotation=True)\n",
    "\n",
    "    # Add the rectangles to packing queue\n",
    "    for r in rectangles:\n",
    "        pack.add_rect(*r)\n",
    "\n",
    "    # Add the bins where the rectangles will be placed\n",
    "    for b in bins:\n",
    "        pack.add_bin(*b)\n",
    "\n",
    "    # Start packing\n",
    "    pack.pack()\n",
    "    \n",
    "    # Full rectangle list\n",
    "    all_rects = pack.rect_list()\n",
    "\n",
    "    # Pallets with dimensions\n",
    "    all_pals = [sorted([p[3], p[4]]) for p in all_rects]\n",
    "\n",
    "    # Count number of 80 x 120 \n",
    "    p_812, p_1012 = all_pals.count(pal_812), all_pals.count(pal_1012)\n",
    "    print(\"{:,}/{:,} Pallets 80 x 120 (cm) | {:,}/{:,} Pallets 100 x 120 (cm)\".format(p_812, n_812, p_1012, n_1012))\n",
    "    \n",
    "    return all_rects, all_pals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Pallets Count\n",
    "#-- 80 x 120 cm\n",
    "\n",
    "bx = 0\n",
    "by = 0 \n",
    "pal_812 = [80 + bx, 120 + by]\n",
    "#-- 100 x 120 cm\n",
    "bx = 0\n",
    "by = 0\n",
    "pal_1012 = [100 + bx, 120 + by]\n",
    "\n",
    "# Number of pallets\n",
    "n_812 = 14\n",
    "n_1012 = 0 # 100 x 120 cm\n",
    "rectangles = [pal_812 for i in range(n_812)] + [pal_1012 for i in range(n_1012)]\n",
    "\n",
    "# Container size\n",
    "bins20 = [(236, 595)] \n",
    "bins40 = [(236, 1203.396)] \n",
    "# https://www.dsv.com/fr-fr/nos-solutions/modes-de-transport/fret-maritime/dimensions-de-conteneurs-maritimes/dry-container\n",
    "# https://www.icontainers.com/help/how-many-pallets-fit-in-a-container/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Test 1\n",
    "n_812 = 8\n",
    "n_1012 = 2\n",
    "all_rects, all_pals = solver(n_812, n_1012, bins20)\n",
    "plot_solution(all_rects, pal_812, pal_1012)"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}