{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Importing an Excel file with an unknown format.\n",
    "\n",
    "In this notebook, we will use the `ExcelImporter` to get all data from the spreadsheet, but will have to write strategies to understand the data ourselves."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from brightway2 import *\n",
    "from stats_arrays import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic setup\n",
    "\n",
    "Start a new project, and install base data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "projects.set_current(\"excel import\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Creating default biosphere\n",
      "\n",
      "Applying strategy: normalize_units"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Writing activities to SQLite3 database:\n",
      "0%                          100%\n",
      "[##############################] | ETA[sec]: 0.000 \n",
      "Total time elapsed: 0.655 sec\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Applying strategy: drop_unspecified_subcategories\n",
      "Applied 2 strategies in 0.02 seconds\n",
      "Title: Writing activities to SQLite3 database:\n",
      "  Started: 11/07/2015 15:49:55\n",
      "  Finished: 11/07/2015 15:49:56\n",
      "  Total time elapsed: 0.655 sec\n",
      "  CPU %: 91.400000\n",
      "  Memory %: 1.279688\n",
      "Created database: biosphere3\n",
      "Creating default LCIA methods\n",
      "\n",
      "Applying strategy: normalize_units\n",
      "Applying strategy: set_biosphere_type\n",
      "Applying strategy: drop_unspecified_subcategories\n",
      "Applying strategy: link_iterable_by_fields\n",
      "Applied 4 strategies in 1.78 seconds\n",
      "Wrote 692 LCIA methods with 170915 characterization factors\n",
      "Creating core data migrations\n",
      "\n"
     ]
    }
   ],
   "source": [
    "bw2setup()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Ecoinvent 3.1\n",
    "\n",
    "The file we want to import has links to ecoinvent 3.1, so we will need to import this database."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Extracting ecospold2 files:\n",
      "0%                          100%\n",
      "[##############################] | ETA[sec]: 0.000 | Item ID: fff527b1-0fe4-4\n",
      "Total time elapsed: 118.347 sec\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Title: Extracting ecospold2 files:\n",
      "  Started: 11/07/2015 15:51:39\n",
      "  Finished: 11/07/2015 15:53:37\n",
      "  Total time elapsed: 118.347 sec\n",
      "  CPU %: 90.600000\n",
      "  Memory %: 12.439108\n",
      "Extracted 11301 datasets in 119.96 seconds\n",
      "Applying strategy: normalize_units\n",
      "Applying strategy: remove_zero_amount_coproducts\n",
      "Applying strategy: remove_zero_amount_inputs_with_no_activity\n",
      "Applying strategy: remove_unnamed_parameters\n",
      "Applying strategy: es2_assign_only_product_with_amount_as_reference_product\n",
      "Applying strategy: assign_single_product_as_activity\n",
      "Applying strategy: create_composite_code\n",
      "Applying strategy: drop_unspecified_subcategories\n",
      "Applying strategy: link_biosphere_by_flow_uuid\n",
      "Applying strategy: link_internal_technosphere_by_composite_code\n",
      "Applying strategy: delete_exchanges_missing_activity\n",
      "Applying strategy: delete_ghost_exchanges\n",
      "Applied 12 strategies in 3.78 seconds"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Writing activities to SQLite3 database:\n",
      "0%                          100%\n",
      "[##############################] | ETA[sec]: 0.000 \n",
      "Total time elapsed: 73.147 sec\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Title: Writing activities to SQLite3 database:\n",
      "  Started: 11/07/2015 15:53:41\n",
      "  Finished: 11/07/2015 15:54:55\n",
      "  Total time elapsed: 73.147 sec\n",
      "  CPU %: 84.000000\n",
      "  Memory %: 13.480759\n",
      "Created database: ecoinvent 3.1 cutoff\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Brightway2 SQLiteBackend: ecoinvent 3.1 cutoff"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ei = SingleOutputEcospold2Importer(\n",
    "    \"/Users/cmutel/Documents/LCA Documents/Ecoinvent/3.1/cutoff/datasets\", \n",
    "    \"ecoinvent 3.1 cutoff\"\n",
    ")\n",
    "ei.apply_strategies()\n",
    "ei.write_database()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No need to keep the importer object around."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ei = None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get spreadsheet data\n",
    "\n",
    "Import the example spreadsheet data, and let's see what we have:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracted 1 worksheets in 0.02 seconds\n"
     ]
    }
   ],
   "source": [
    "ex = ExcelImporter(\"files/example_excel_file.xlsx\", \"example\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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QprabamxWbeqLze1fl2HPyy/1SgwkKUFAEBAEeiICcv7uiaMmMQsCgoAgIAgI\nAoKAICAIxIJAXAvcvoYmNDY1IKVlP/bU5GDS1AHYvGYrGpGO1qZGNMGPlLR0NPoa0ORvjiUe0RUE\nBAFBQBDohgjUV9WgrmY/MlLUYnZtHdJS05Gi3tvgb21FKy1yqxcS+xqSkNLajIaG+m6YgYQkCAgC\ngkDfREDO331z3CVrQUAQEAQEAUFAEBAE+hICcS1wN/rqUF1djV21aTj7qoXIyanEY2qBu1wtbPvq\n69GamgZfbbVa7PCpn7Tn9CU8JddegAC97FSKICAIhCIwcEAuGuuq0ZieiuRWoLWhzlrcVjuUAKnJ\nqK2rBVIy0NLSjLQWf2hnqQkCBxABOYcfQLDFVY9AQM7fPWKYJEhBQBAQBAQBQUAQEAQEgQ4gENcC\nNz2d3eJXCxjJbUhOTsK+XeVQ6x2qqKf51F6slRW1SM9Mt57oo61KpAgCgoAgIAj0bAR8Ph/86hc5\nX2/fjq1fbFEr3K1qe5IUdRloRqvaoqRfbg4OmzwVVfv3W3t19+xsJXpBQBAQBHoPAnL+7j1jKZkI\nAoKAICAICAKCgCAgCLgjENcCt/olOvL7DwDdMNMCR/+hB6mfqtslLS1T7c2tzCapF47l5aFyf4W7\nZ2kVBLo5AtOmz+nmEUp4gsCBQ2DjplXIz83H2tWf4vqf3IB0de73qy8waZuSZHVRGF58MB763X9i\nyJAhqKmVLUoO3MiIp3AIyDk8HDLS3tcQkPN3XxtxyVcQEAQEAUFAEBAEBIG+hwD9uDzmkqx6ZaSn\no3//fAwY0B/paWmwV8rVYrd6AeXBw4bhoIMOgnq4G0lJcbmIOSbpIAgIAoKAINB5CNSody+k98tF\nWnYOhhYNR4v6cU52RhYys9KRmpmKESOLkT+gAGkZmWhQL5yUIggIAoKAINA9EJDzd/cYB4lCEBAE\nBAFBQBAQBAQBQaDzEIjrCe4stYCRrBau0zPS0KQWMrIy0umBbbuop7tBslS1T2tyqmoPSlhDqCAg\nCAgCgkAPQyAtJY12JcFJ3zkJRx851Tq3Nzc2Ijm1TbUnISMjA3kDDkJFZbX60jOjh2Un4QoCgoAg\n0HsRkPN37x1byUwQEAQEAUFAEBAEBAFBwEYgrgXuNPX0dlZ2JlLUInaSepw7OSkNtK4NpCElTa2A\nqDXtVLVPd1qaWuRWe7NKEQQEAUFAEOjhCKgvLDOyMtXWU7kYoPbb9vka1XZU6UBbi/0OBnWub2lL\nQVWNetFwMm9a1cNzlvAFAUFAEOgNCMj5uzeMouQgCAgCgoAgIAgIAoKAIBABgbgWuJuam2jvETTU\n7cTKt9egIXkf9llOyvD+m29hW3YBjvnOLPhb/Khv8EVwLyJBoPshIPu2dr8xkYi6HoH6mlq133YK\nWv3qS0v1guGs9Az19Lb6jQ69lEH9aqe2rt5a/G5Ve5c0qsVvKYJAVyEg5/CuQl78dlcE5PzdXUdG\n4hIEBAFBQBAQBAQBQUAQSBQCcS1wV1ZUYtVHH6GxpgSvv7kCdVo065b8C+uQg/os9QKy0hKkp6dp\nUmEFAUFAEBAEeiICGalp2P7VV8jLzVXvXGhFS1MLoL7ETE1Phl/tXUJPdOfk5aO0dK96wju3J6Yo\nMQsCgoAg0CsRkPN3rxxWSUoQEAQEAUFAEBAEBAFBQEMgrgXuPeXlePOtt62n9JJz89A/JUXtv5qu\nnthuRVtbK+rr67D2zf9TW5SkY9y4sZo7YQUBQUAQEAR6IgI1VTV4+eWXkEbbj7SobUnU/3TF+hVN\nTk1Bk9qPW7UoPh3NzWrxW4ogIAgIAoJAt0BAzt/dYhgkCEFAEBAEBAFBQBAQBASBTkQgrgXuQYUH\nYURxMXaWbIPf34Tq2ga192obMrPyMWLUKGQmq6f61P7ce8v3oLGpoRPDF9OCgCAgCAgCBwKBOfNO\nPBBuxIcgIAgIAoJAghGQ83eCARVzgoAgIAgIAoKAICAICALdDoG4FrgLCwsxe9bReGXJa3gvZKvV\nMuzcXoJT//1GfGtIKj7fsAGbN23qdklLQIKAICAICAKCgCAgCAgCgoAgIAgIAoKAICAICAKCgCAg\nCAgCPR+BuBa4fQ1N1pPZQ6cdg7PGHoEJIwahrWY7XnniKayracT//fVdTL5untrCpAFN/uaej5Jk\nIAgIAoKAICAICAKCgCAgCAgCgoAgIAgIAoKAICAICAKCgCDQ7RBIjieiRl8dqqubMfDwKRgxIAPJ\nbX74MAATxxXa5ppqsb+2Gr4GH3L65cTjQvoIAj0GgdUfLgX97+zSWX46y25n4yH2BQFBQBDobATk\n/NjZCIe3L9iHx0YkgoAgIAgIAoKAICAICAKCgCAQikBcT3CnqJdHtvj9UCvbSE5Owr59FUBSFT5d\nX25ZTxtSgPRmv3rhZBta1UsnpQgCgoAgIAgIAoKAICAICAKCgCAgCAgCgoAgIAgIAoKAICAICAKJ\nRiCuBW61bo38/gPg8/mQkpKC/gP64b2nnsamJgpvGE779mQkpwC5eXmo3K8Wv6UIAr0YgWnT5xyQ\n7DrLT2fZPSCgiBNBQBAQBDoRATk/diK4HqYFew+ARCwICAKCgCAgCAgCgoAgIAgIAkEE4lrgTlYb\nm2SkpyMjIx2pqc14/+kH8cbWOmV0DL73iyswaWAafE2N+LqkBElJce2CEgxQGEFAEBAEBAFBQBAQ\nBAQBQUAQEAQEAUFAEBAEBAFBQBAQBAQBQcANgbgWuLMyMpGsFq7TM+rwyoN3YUkpkDnuZFx9yUwM\nzlKPbpMsNVVtX5KKJPVPiiAgCAgCgoAgIAgIAoKAICAICAKCgCAgCAgCgoAgIAgIAoKAIJBoBOJ6\nvDpNPb2dlZ2Ej574tbW4jcxj8KPvHYcCtajd2qr23FZr2qlqn+60NLXInSQL3IkeNLEnCAgCgoAg\nIAgIAoKAICAICAKCgCAgCAgCgoAgIAgIAoKAIKDWoeMBoalZbbbt24q3Nzba3RvexyO3vY/GQBUH\nfwcP3HQG/C1+1Df44nEhfQQBQUAQEAQEAUFAEBAEBAFBQBAQBAQBQUAQEAQEAUFAEBAEBIGICMS1\nwF1ZUYlVn34J652SAfPBxW2qV+7AB++/j1K1B3d6elrEAEQoCAgCgoAgIAgIAoKAICAICAKCgCAg\nCAgCgoAgIAgIAoKAICAIxINAXAvce8rL8eY7e5GU2x+5aEVKSor1wkl/Syva2lpRX/8V3vy/UrVF\nSTrGjRsbT1zSRxAQBAQBQUAQEAQEAUFAEBAEBAFBQBAQBAQBQUAQEAQEAUFAEIiIQFwL3LPmzEdS\nyN7azj7b3M40oncRCgKCgCAgCAgCgoAgIAgIAoKAICAICAKCgCAgCAgCgoAgIAgIAnEiENdLJuP0\nJd0EAUFAEBAEBAFBQBAQBAQBQUAQEAQEAUFAEBAEBAFBQBAQBASBhCEQfIL704+XW0b1J691noR6\nXef1aNza3dr0Pjq/+sOlejXEZ4hAKoKAICAICAKCgCAgCAgCgoAgIAj0IAR27NiBgw8+uAdFLKEK\nAgcGATk2DgzO4kUQEAQEgd6KQHCB+6KLLlY5JlkLyvbuI8TbaScl0YPebapuP/BNC9YsC2jYRP3l\nxWymJEhOTlJ7c5PMVnN4Z2sTkvzjH3/HmWeeaSsF/up2QgTdsaJyVBASVHZhPjTNgLD7k3/+85/t\nxiNi1D08/5jzjQiGtzAh/iJgnhD7WhqJtqeZdtgI+ThKvZiT/HvVOTTmmdoLxv+AnCfCABu37y7A\nPe5Yw+Te5c1dgGGX56wH0EX5d+U8CvHdCfmH2Nex7o58jPnfddddOPbYY7tjJhKTINClCPz1r3/F\nwoULuzSGmJ3HePzHbL+7d5D8+8Rnl7DX5AM8/mHjSNBxErP9A5x/gtJMnJlulD+PXXCBu7W1VSVq\nL3DbC9Jt1sK0nT1Fzv+phXh70duuqcXvQKuyYImT1KJ2cKFXtTmL2qpZdbcXu+2VX+KpzavQYneb\nUgy36M0yookopj9P+3Y69kmOA+A2rneAmvGYpjzjMztEWWe8Pe1zrkzJvs5H6S+cWlflr8fT2TGY\n9jsb85j96WBEwcdsn+cLU/Kh81H4jKRixmPqeuJtdvCom/487XOuTMm+znv48xKb8Zj6nvGZHTzq\npj9P+5wrU7Kv8x7+vMRmPKa+Z3xmB4+66c/TPufKlOzrvIc/L7EZj6nvGZ/ZIUyd/FBJlD12Y8Yf\nzn60emw3iLGOtc4HFeNjzHjiseJlIxwW8fiiPqY/T/uMF1PLSLze2/cz4zE1POMzO3jUTX+e9jlv\npmRf5z38eYnNeHR9XUZxJqLoNsled84/qvhiBOVA5E+fu3i8TH9e4XqNh2kvVn3r8xvN38B0alMM\nfb4jSsW0bzXHoG/G086e5SX8H7O/qWnai1U/1nxi1TfjMeM18zHrZn9TbtqLVT/WfGLVN+Mx4/XK\nx5Sb9kx5rHUzHk/7fK5nSg51PtYADH0zHkPsfX42O3jUTX+Sv732RDi4Fh5rpqSk866dom80x8Ps\n6Tk+ZgePuumP7YftxrkyJUWdD9sxOoEZj2U+8DmDeI4v7PhE56adFvml4mmfc2VKnXSe6h0obvnr\n5jzj05Wj4E1/nvY5V6bkQ+ej8BlJxYzH1HWLL2SBOznZfkK7tdU+kIlSSUoyKS2EOwe55ThwdQse\n+7ReHijUFmzX2nhusj/WJ3tUzICpzu0WY/wxATD7m3Kjezt/ppzjYtrOfmstvvpqF1pagLziQzA4\nKyXEhKkfIlQVMz5Tn+pUmFoV7Y9Xf1OudbVY058p57yZmvrx22/Bnm3bUK1w45KamoH+RQdjQIb9\npQa1c95MWZep6T/W+MiOlw32zdS3ZxvWrvsC5b5mIC0NWVm5OGjgYIwaPxb909vPYdO+7pPzsGkL\ndm/7CtX+0FYgBQVDilGQ4/yagvM0NalO/vRi67Zi91fKtoa3rdOCjLxijBicFezHtjlft/jb23fG\nTJcRz/Ew7Qz7bJP8Mc/xm5R09GLmZ/Y35Xpf4k19U855MzX1E2GfbbrFQzJuN2OjuumfbXE/W+7H\nnu3qeG03N1uQkleEQwbnBY9V0wfnzdTdfvxfYnrFz3kwdYuPYyIZ86xv2jf7m/qmnPNmauonwj7b\ndIuf82DqFl+k/tHEx36Jmvpsm/3rct9udS7duAl7qtufS/PT7HnrFi/7MWV6nfzoepHiAOxzb2Uj\nMGCYuo7npgTnQf3ur1FSUYeMgmEYNSg36ELPgxpN+5wv02BHjemoDa/+plxzbbFmzKac+lNhauon\nwj7btMZAXaMqm9QYFI3CoMAYkP9wGJr+2Rbrm3KypRdTX5cRz3kzNfUTYZ9tkj/miXJdp1Zj4I+u\nG0t8PprPlfXIGDAMIwflBI9X3TbzbJcpx6XLOQ5uCzmWRozC4OxUe/xa9mPbl7vQmJqHsWOK1F2N\n+7nCseOMu+mXdUz8ORbWN+V2P+1YV/NscF4gPjaqUc6baXT2HQOmPkla6MNCJxUzXzf/kVxb/QOf\nBUnP7N9R+5F8J0IWPr4k9B88GFnWLXQr9u/eDZ/2eVXdBGPoQf2sEHwVu1HV4Bx/bJOEzBOlYuJj\nNXbhn47GZ/Xv4vHnHBhfnZrQsi5R1uM2qjPPcktJ++M1ftyPqamfCPtsk8JinijXdWo1an9M/2Z/\nU651tVhT35Rz3kxNfce++nypPrta90/FY9U6iG2J9Fsb9uCr7RXIHnIIiugDslac/u7jR/2pMNW6\nWqxXf1Nu9jfzMeXUnwpTUz8R9tkm+WGeKNd1ajVqf0z/Zn9TrnW1WFPflHPe1K7b4vj0NrMv1Umv\ntmwLPv18CyppvQRpKBw1HlMOHwWaImZ/Mx72w5RtEqXSvr/L59SUDOQVFGJw/8CktLtaf01/mshi\nyT4Vpqa+6d9S1v6Y+prIYs3+pj7VqTC1Ktofr/4kr975JdZt2IKKAP6DDpkQxN/0p5m2WOpPhamp\nb/q3lLU/pr4mslizv6lPdSpMrYr2x+xPouACN3WipwlIyU1RsxOBpQDU9/uK8LYktjIteBEwdo35\nlJQU0P/S0p046KBBlpB8c2GeKbdHorou80ypn86bAJKM29hHLPr7P3sZ/7X4c6tr3szv4cbTxrAZ\ni7ItpiHCQEWXMc/UTd9s03WZZ0q6Os+5EmUZt1kNHdRnG0zZN1NuB/z4+NknsaLBaWFu1qU/w/wJ\n/bnqSXXbzDOlzjrPuXL+bFzXYZ4p6wD78c6zf8YbG/Y6TRp35MKbcO743KA/vb/Jcxzc3ZY34+Nn\n3DEhvaKjTsfCs2aAllh0e2yDKdvmHEm3ra0pLN448lL86twJ1nFANmz90AVH3Z+7/cTpcx5M2TdT\nbtepLmOeqa4Xjtd1mWdKfXS+b+avjtdwc/PIy3D3Oc687yhe5hgx9kxNuemP9Zi66Zttui7zTE37\nfXP8nWu0W/4mRm7YhbZVRTyXHnHpjfjuhLzgMOl9Tf+670h6JOO+bNjRd869R192Mxbk2gt/pFf2\n8V/xzIoqZB59GW5d4MSk+9V5xya1ti+mXK8zz7R97/Ytui7zTElb5zl/oizjNquhg/psgyn7Zsrt\nOnVkagwC9wTWGOTl6Gpheae/k6tbGxngXLtn/u7xh0ucc2RKeswz1duIp7xL1Xz+b2s+L1TzeXwQ\nE5JT0fu64WXq6PqWAWjH0kJ1LI2nY6kZ7z3za7z6JZB/rLpPHquORVs5xB/bYhpQiUh0XeaZUked\nt/PR4lPH+hm5/UJ02uvb5w22xZhwULo+tzFlGVNqt385yxodoxwLUSrkh9uoznw4OenoxUvfS67b\nOhC8VzyOPBVDxo3HkMDzR1XpdVi9rToY4pBRh2H8kAyrXv75XuyrtT+YdBTPoINOYpz8esf483HC\nNBrYdF3mmVJ/nffCq6P6Zrzsm6kpN/2xHlM3fbNN12WeqWm/8/J3zqkomoNfXv3t4AJmc+nHePKZ\nFcg4eiFuU9cbs7jFqreZ+mZd12WeKenqfOflb0Zl19k3UzctXcY8Uzd9s03XZZ4p6ep8vPmTHb2v\nblPnSc8pNVjxP4/j1bXGesnK5fhfFOO71y7CEYPTQ+JjW0wdWw5nyvR6UlL4z6kHTTkL//7dacgI\nXCPJIvXlvNiDbo9lRKPRZxtM2RZTbtepLmOeqa4Xjtd1mbdpDd5b7I7/ywr/c6+9DEcOzuh1+Ycs\ncPMAhgJDi9XJVuL8hDfpcRsBzXt0K87CXc0TdeNG7fYw8BPa/EQ4taamqm9vCg/CqlUfY+nSJbjk\nkktt5QT+pTw4JzLLPFEqZp56G/Pch+pUuI9d0+s+rFlqL26TrPqDVditFrgHs2IX0I7mzyHrOes8\nyc0694mNJiGf1rB3AZNOvwJzh+zDa8+8gM0+YPlL7+HYCadaC7mx2bRj08eP+UjjH52PFnz85MN4\n40v1iJ8qxScswvdPORL5aMS+vd/gs+UfIf0g+9tprzGg/jqGur6Oycljc1FTswefvfN/WLa5Un0w\nfRn3VAF3LpphPf1EdtwK22ZKOnS8mratW3i/H5n5A0PisfWdBS2uR8Iw1FfoMcj9iXLR9bmtu1CK\njecNxcR8X88/2vlj4kcYmuNt1kmnuxQzfhl/+8urSPM/0ti1x9OP1fq5dPYl+P6Z37LPpbvUuXS1\nOpcW2osNZNfsz22mz2j0SMe9ONejfpn2L2VYLzObLlRV6N8vk5u6LTUx6FlzN/wYRAt4z84/2izD\n60WTvzOf7Sea9GPC7E+edHl4z7pEG8esNEuw7c2nrMVtjDsbv7pwEqr2qxu9Tihm/O7zX4tPHet6\nfmZ/ClGXu9VjTSPSE9ymfzN+0xfp80NKJGM+2kV0L39ecjOejtZj9Rd9/q2oVDe8Q+yHtJGvPocm\nb6mE37rXy1OfS53rTc3+xuCXELHG033zd4/MKz8vubvVrmv1ipfkVJi68XzMWYqGrqnPOt2Fdl3+\nzjkVpUvxt/cOw6JjiyxYkjKzLTqgX/snaBONW9fln+hM4rPXmfnzMcPUK8JPFz+oFrft9ZJpZ1+L\ni48bDf/uT/D43U9iM0rwPw//Cfn/cTVGhT7U72U2opxiC35OPfsKnDzch2Uv/h0flPiwd+3b2H76\nURivpqGeg86zcb1N50lu1rlPd6AUG5+/Pv1bZPyff/hx9Lfwdz4T6f05HzNfs8563YFSbMFPbwSE\nWr6xAKGFaKoTtf+3atTeM45umkjH1nPaqL39f/vpcLaXkZGBQYMK1SJ3qpogQEZGpmWHQaHAGDim\nLNMpy6LV1/sS79XfxsRe1NJ5thPSv2I93tvDEqLr8cGmWquB4zMpCdmGzrOe3ka8WbhvtPrx9udx\npv6MA/Fe/k05x8lUt2F/5aCeTD5kDEYdNgdnH19MYvXtSj+EO+eZ9kmd24j3KqzrFo9bG9tr2b0S\n/wgsbg+Zfz1uOesIZDX7QL/6yC0YiTkXXIqZQ6O/gHMcZJ/xpcNRx2TwsGEYd9i3cMEN9+CK2UPs\nUL58GctLm0JyZltu1Glrb3uksj9y5Ej1c3z7WzzO1enjnPhYRlSX6zzrOPnY5wpq5zbi9T46TzIq\nehvx5n9dR+dZT28j3iymfZJzm6nrVmfdcP44V6I6z7a8+pty9sOU7LCOzoeTs1+m3Ddafe4XnJuj\n1Zd4au6MGj4co0apn3ir+cM2SVfPWefZDuuG82/KWY8p2WEdnQ8nZ79MuW+0+tyPqVd/PWedj7a/\naZ/jZEp2WEfnw8nZL1PuG60+92Pq1p9k0dqjc+kLfC494VrccsHRyGyqt86leYNHYc5Zl+KYIvtD\nEdnVMdR5kulFl+k867jFzW2sQ9S+R3HOO0GZOp51feaJ6nxQ32DcdPQ2nTe6Bqu6js4HFTwYvY/O\nczcdN51nud5H58PJSUf/T3rcT+dtHecaRddCt8J92aZuw03fbPPqr+es82zHq78p5ziZmvGa+qac\n/TJlfV1Pb2O9cDREN4Cx3qbnrPNsj3WJ6rwp53pqZiqat7+Fx5duV02TcMvVc1BbZX21bqnoNpjn\nvm6UdYjqvJuuWxv3YRnNM71Nz1nnWZ91iep8ODnrMSW99p+VnM9PtPhNcqI6H66PrsN9dMq2wvX3\nqwccSEZU51nftO9lj/vFS2P1Z+rruesyiifkbjZnMAqz7LxTBg5EYcjOkvYY6LmyXb0t3hwj9dNj\n1vlwfXQdjlGnXvHqY67z7M+072WP+8VDzWOI6zrVjzmd13Ui8Xofnec++jGv8yzX++h8ODnp6P9J\nj/vpPOvobcSbhftGqx9rfz1nnWc7kfzrl+wvX30Ga6ucc6TV3+V6E8ke+9RprPp6X+K9+us56zzb\n8epvyqmu/9dj0HnW0dvYp05N+176el9dN5w/PWedZzte/lneuudD/E9gcbv49J/jB3NGodnnQ1vB\nEbjhnkXW0/1AKV5bvt0yHS4e9mvSSPo8D4sOVp9NR34Ll/7g9ED3Kuwos+89IvUnZcq9I/mzfZOS\nbWrjwjzrmXLWYxqtPn3GWhyC/0g01dcDA4/E9b9ehAGWQcL/65B49Jx1Plr/ZnycF1Oywzo6H07O\nfply30j6xhPcdADSBzf7CezAltzqpsf+MEeUA2Hjdt1+wluFa/W1weA2SoL5JOTk9MPAgQWqzR7Y\n4uKReP/9960bK7bNYJIO8azLPMtNSv25Tee5TUVn2wvc3lA7t5E+FdYl3ss/6XD58oP3QYfL6bfc\ng/znb8Izm4GP3luHkyccg3S6c3YpXva95BwrU3LhxnMb50qUdbnNajD6c1s4/FkejrJfpqaekx/N\nHLtUlJVgW9U2/H1pidUwc8F0ZKt5oH4QYI9dYE6QkO0y1dt0nuWcq1f+HBfZYF7HwN9sfxOpngHB\nmbOHYe/+OlJVRX0Q8TejqdF5Iol9MzVjoF4sI97x52DS6KtGQ4O9yOOrT8ZhJ5yErGVPgbw0NtFe\nVs4TJ2xLp+yT7FPRpyPhXZ7VD83NCuGUbBTkZwZjsLVD/7ItLwy5l5OPNue0MWS9cFTPw03Hy76X\n3M0+t5E/5plK/nQO1eZmfRUaG3Loq1G34QnOJRoHxpPHxLWD0ci4MzXEnvbZVzj/bJcpx8h+uJ2p\njL/3NTQchno74+mv186lJ4zC3soadS1QPtTWBnQubWxQN2Ja8RpPVo1Wj/VNyrO5fMc27FS34GrN\nRy12A9/sVz+bsUoAhzDz2ss/50803NyMxQbHz3apzjzTHjd3OSmFsY4F52NSPWedZ70el3/gOhlu\nfnBebrm6tbnlT3p2sWe8blPHnHRIxm2BThEJ2+JjqX7HSjz5whLVZwAuue0HGOirQYPH/CcHXvmz\nH9J147nNLX+6KnF8Zn/ONZx/0o9U2C9TN11a/AtXqB/H4KbDsnDxUTvZZznz7NPsTz70WL30zfhM\ne15yt5z0NrO/LiM+Gn+cA+kzz/lTm12yUDRkAL7+ch8GDbOfNGWJAiS4T3o0/jhm6s88USpmf6sx\nwh+zv6lq2jP1Sc45U1/mOX+zP+lwrNHou/njNrbFPqjOPNFoiqnPtjlGk5JNbtN5bnM//u3rOMfD\nulT38s99wlG2xdTU87LvJWe7TMm+G89tBzp/J98qLP7zqxh33Xy16zIX59xGeVKhODlnqjMfTs55\nMWUbRKlwO9MDnT/7ZWpH5fz1ys9LznaZ6jnrPMsTlb+TQWSO/TY12g960nrJ/BmDUVFt39MntdZj\nb+oknD0pC8+u9+Gbj79Eg/oMkBnmfEn2GBPdM/vRc7Z5R6u1WX2W8NWhZO2mQOMQjB+ZbX3SCNef\ne4ebfywPR9kuU1OPcwln30vOdpmSfTfexL+y2l7Yb2moRUXqZJwSxP8L1M8bEfjCwfv4M/Mx6xwL\nU1PulZ+XnO0yJfsmH1zgpm9n7S1InBN+a6tzIeJBICO8PYnTxjdpdCHnPtxGPWy+f/98DBgQup8y\nB8SUL77Ui9o4SapTYT27FvqXdTkusz8vwjC17Gm3t9YJQNWJUmlto2/61U2Colx0/8y3te3EihXq\n8e2s2ZgxIAXJJ54AbH4L+Go5vqyeicPy3E/gTn/nFpvbyB/zTPU2jkenic7fsq1C887fPX7PeAIn\nMsqPLaxa/J9YFUhqiPq279Ij8lFRq940FSg6FtzG1NNfwIvjTWEc9GxbsWIJxEUt7I8ptZVt/IKI\nKlWoqVXfRDoPGAbna9RzUCVOMbSfc3pkig9i1YLa5DzQjvUl6j/dG+jHjBsGuiWe4xQ9FR1v4Cjc\nePeZyI2QP88F3abOs/32+XgdQzwDHMwpPrd8uI3kDi7u/b3kZEMvbJsoFerPbVY9MF/0nHW+b+Tv\nZPzOY3fjHQKGykGz8Et1E6t+j+Myn2X8bZCcOUt1r/nJcy/sfAyeF7rP/Nfz8oq/bMv6ACzqXFpT\nZ51LndlFdxO02B39fLKMKSiiv3a74ea0ffrS0/g0EGEoUVEp7Hn8SObGu7XpdhJhg+15Yc24MrVi\nDpzPiI8Va86NqWVPu3Z4xhNx7mpRqvsvvsbpvsifXjz9BXLVLFtzi210r/yd+aTnrPMcN1Fqjy9/\nzYqa9oQN4UAl2mOIx4b66PFxPNROZcULr9gMDsdhOXXwNdnXBL2PGx/OfsBYkLA/olR0TKy6x/gH\n+8SYv1vMZMsrHtKhz129pUSTb/fIlR/RrsL6jX5MOnQgBgw5CNjUjCH0Rrx9W7AFIzFmoPp43GY/\nwR1N3D0n/2iyiV0n0fnzcR/u+DIj9PLP532m1F/ne/L5n3LpPvnz/dM4LLpiNJ7802tA+XI8s3wq\nfjDRWeL2Gl8ed6bWeGn3F1TXS/fJ347KM56I9z/OtbQ75k8xcVxMKWud5/x3b1JPe1qlCnX1DWjL\nsueHpdvUgIIRajVjfYmawOp8q76Q5dnDtpiSCZ036+yPqClb99YL2Fn9FTaU1VgyFB+D4hT1QKLz\nsbTd/a9txL4PsjuF+udYmJo+3eLhNl03XH9uZ6r34Xh0yrb1/InfpeFfW+dDq7Ze1aZ2HtDxT7Lm\npI1ftPd/4eILFw/rm9TMz0uu5068m7/gAneocUqQppmdKM0Xyjswb6xJxsaon3dJUvuaDURuLr0S\nzyzaZCeR49ZU9KzTCZPi4hMn80TdCgEYkoeVJyXqaOsXQKc1lKvZ9CmsJc9BGdiqJlObnw1U4d1V\nO3DonOFWh3bxcK42BLZfbgt1EVWtq/IPF5xnPJwr568MFc8+HVOaN+HlDzZj18v34Y7KC/BvJx0e\ncZ9p9u/pjxUDtN34s5zj4rpB8wcXqpYd6n8+ckOOIDo/xzgH6RbLOrgcJ55zrkU9ThimmP7b5WjN\ncafzuNln4/8VZ8OvvuFsziqKea9zd/sKQD4ElCvPfJxw2nFmPnIMhT6VEzxf8jFEuHvM33Ygaw2e\neGu6xGYNKcbBeeoXBI2NaBw4SA17HPPZsKlXPePhXLsof5n/7a+hsYxfvtreBtit/tvn0iCejV/j\nqfsew5bGDBx/+Q349iHOXZnX+YTlTPV4YuXHzb8EJ4ziJ7hTsW35X/Ha+krHTCLmXSJsqIg8jxUn\naosLYk3XHyrWtUHxcu628VB/OzKHPMeDYOfzNXlkXsOfmqMtnv4MQzT+eqFcrTbNf8fz1zxkqcVD\n9dNk9WYVPPLqePz7vFFOzqTWBfmHfjTojPwjfx4xx0BDy5M1j1/+LEPUrcSq72YjUhvnwpR0dT5S\n33hksebj6PMiSgvKPvkEhxx6AvrlFOLQCelQy9zY8tE61E0fY4VER0i0ObAeUzKg85bBBP4h2zzm\nZJb5vjL+JpTxnP8YM8uWOmys8dIOn46f/yIc/93g/N+Z+as3kSF3/Km4dvZKPLysEttf+wvewlhn\n2Hp5/p7zsY/kn1fkrJfkJNOKcuAAs/Jvg59/xKkkftWWoR1/zmTx5trj7fTZ/cVa61OG+sSKSSec\nj0vPnormferXmOpaGTxH99LjP3+Yg7++XmVfPxTmIfirM56Gf08+/9HoB5fnaHLwSyTVaZ7GXX1g\nsp8u4Asm0/ZPcDsTiTj9wku6Q4YMRna2+57EPLnIPxX+1oB4krEvqpuFT84cF8nZHvHtJ7w9mVmf\ndZma/amdfZDMLLasEetXrLBFJW/iif8K1fpmxYfYpxa4B6pm9qNT61vjwAcN5vkJmuj82zGyV7ZN\n9Y7mTzbInm6T2rgwNjqe3EY6xHMMVGc7OuWcSU7l0KNm48Sxp2DmhKdw05MfoGz5q9hwzET1xI8t\n1/+yL/ZPMrZNPPsmSsXUZ12mpEM8/Y80BtmD6DaYyi5sKqtH0cH2th52W+wxmP45TranMrFyoTrJ\n6rdvsJ7etuX29j9sg+ScN8m5naneRvyoo2ZgSrH99uKk1iZU16gn0kkQKBwLUSpkh/7rdW63FAI6\nOs82uE2nLNPtcRvpER8pHysWNVqcH8+nSOMXyT/J2Bbx7DvWOUR9qTBWuk1bYv/lXHta/pzD8Zfe\ngAWj1S75apySWhqwb1+1uklxZlBvzV8fL8JCH1+T5zFmzHTKMt0et5Ee8TwHqc62dcpz3tIPHAtd\nOf/1OE2ec+Hjqd8A51y6paxRnUvtJ3za1Dm7xrrxakRbiv2OD7al40NtZiFs6H8kPZYRpRKq78zf\nUeMnYax1frR1skvyggvc7If68xjEgjv7JTvx2uC4LQPqD9uiuom1W86kp/cxee5DemZhmTuGHZ+7\njj/n+ue02fZ7c/6cmz4mbvlTG+swpbaoxt+Z6pYNvT/xPMZkzyz6uJPM1Cc5b2tI8tN/dBPyX7zV\n2r6vdOl/4dURP8d89fJs9ul2DFE/PlcQrxeOjeMgGdsiPqr8STFYQu91zXyCagHG9G/q2/k7W4Rw\nbEzJDD3BHTxn0OcuOn+H3IE5Xk1/JNFtRZMv26C+zBOlYsZvNWp/Eq3PuR74/DmpVKS0bcfGOvXb\nxX65GDmGHsCqwuqtPhw2O6Cjfj3CT9n3nvwD1xs17jzmlC3z+pwKoGCRA50/z+do4+EcOGbuT5SK\nW/zUrts3ee5DemZhGVEq1JfbqE48x8Byk1rHQC+9/lOutRUVOPz8H2HasjuwGuVY+lo5NVuF13oY\nc8YieD4w8OR+TBlrxp/a2RbxjL2Mf+LnP2PLc56x5zGhOs//fgXOPX5JZROGDbbfqmb1RS3Wrioh\ndWBQntrOl758dD+ebKXQvxwHt4aOv3NzM/uqe3Cx2g0AKeloVVtz7K+oQgvNL9VR76PzZJPqZhv7\n4lx5/pEet5EO56/LqZ3tWfp0vVf9qHTW/M/WPmOV7GvAsCH2lra23xoN/wJkUb5WNHacej6B5iBh\nmZ4ft5ES8fr4cJ465Zwt/QAWiTz+gwvc5JSDsYMM5tGOYT0OlBO0gtRO9vSCpqKiocjMzGxngxsC\nYxscZLZJcuL5P9UZPPbHcRB1K6THOiRnnvW95NRHj8f0b8lqN+G9r5TikBNw/eXTkcqbdZZ/iPv+\npLYpafgEq7fNx7dHZlm22AbZpqLbN+ssY8p9iVIx87EatT+kxzpu+l5y7sMmTf8cVzhK/VjGPNtg\nm7acDyn1bZLab7pyrw91wWe2q7B7Tz0mqrcuc1+iVDg3Hk+2yZT0WMdN35STDsVjxsztRKlP+sCJ\nKMYb1iLz0qcXY8SPF2J0P20ONtWq03YWctJT2h3kHA/HbNYdXw4maSnOHtv1uz/Dc0++Q2rqy8iZ\nOH6s2hDC5ywAUbMeP9XZh8MTZ5cWtQ9mdVXwNNAOY7bFlG1x/CaGppy8cF/iSZ/qRKmwLBzVdZhn\nG1Snwn3tWmidZUy5L/t3i5ftECU91qE680SpeMlJh32zPtXZP8vCUbM/92V9U27WWY8p+WUbpGvm\nQ216cc/P0ajfvxO7d6u9zLTx5D6sxb6pbvpnWThKfVjGPNugOhVdbtZZxpT7EqUSX/72nKD+ZIdt\nhLPHvlmf6uyfZeEo9WEZ85wD1anocrPOMqbcl/1z7ETdCumxDsmZZ303OetFYy/toHHBc+mbTz+P\nEddfiOJMtSiUkaa2urELDRX7oxbOhXgzH2pj3Uh6LHOnzrm3ob4CtbX9LJ/kqzb4tIN9v0T+uLAt\nqjPP1IyTY2Qarw3Gn/vrlGVEqZAvbqM68+HkpMPxsz7VWZ9l4ajZn/uyvikPrTtjQHfcel/2b+ZD\n/fXilZ+XnGzpsZI+x6HLWMekug7zbIPqVLiPXQuts4wp9yVKhfNn3mrU/pCeqcNtpGbZ0/RZlygX\n9k11S78D41+lfvgw78e34MOr7gb9aHnF009g+M+uCXl4QffHPFPTv1u8HDfHyzpUZ57z07EgeZr6\n8EuF5cSzb+JN/ywLR83+pMc2SEZF92W3yN/OR8A+ftRqB9Iy++GzNbtw1Kwhtttda7B/SFbw0we0\n7ZE6Py7xoCNgHld87BClYh7Pel/iSY91qM48H3NecurDMRBv+mdZOGr2Jz22QTIq3NeuhdZZxpT7\nEqVi5sM2mJIe67jpe8mpD/sm3vTPsnCU+qSpd7rV7cvBhT8/Havve5maAiV0bSfYqjDiYto1/XNu\nPJ7cj6lXfl5yssMxEG/6Z1k4avYnPbZBMirc166F1lnGlPsSpdJV+ZuxcnwmJT1qSx86GePUegld\n81/9x1JMuPLb4I2KSz98HSsCr7WZPXcyUpU+zwDTnpk/xxF+/FlDbausHr7avZu+TFb37YE5RvYY\nQ9JkXren86Z/Mz6zTja5jXm2QXUqutyss4wp9yVKxS1eSxD4Q3qkk6Hj/893gviTfNcqDf8TD1f4\n2HbZDvumuumfZeEo9WEZ82yD6lR0uVlnGVPuS5SKV/6kE1zZIiP0nzrzU9NsiNvZUSQ598nIyMAw\n9cKOtDRnzyVyaBb2y7ZJzpOKbHES3M5tVGeefZpxsk2m1EfnzTrLmJJcL9zOlGQ7PlqtvvMHZi+Y\niyF5KerxfgU+HUADT8T8AW/hNXVT/9HKjTh+xBHWTZPel+KmOsfPuXan/PV4mWeqY8O8LmOeKeno\nvJM/9wbee+4/8XlaLcr28UpCMaaNVY9v++298KhPOHzINtvUfek+dV7X4QiiGYO21GH4waKZ+IV6\nwhyNW/D0fXdh9NSjMFw9AFLxzVdYv7UMUy76Gc4aZy+MmH70GJhnynEopILs8ucfw2dZ6jiqq1S4\nBPaQUgvo5193NjLq6uDsUO7gy/aIMu/E4dh+7++P4/PgWUBZyj8KCy84xvomLxiAxpj2HJu2Evti\nqnW1WG5nasqprsuYZ2rKebyJUolm/DpzDnGcTK2gtD/czlQTBVldxjxTUtL5rsnfWQDRv4HVY9Nj\nDCamxR5OrtvQeV1f57smf+f40WPUeT1GaufC7Uy5Xae6jHmmpKfz3TV/zodi5Rj12DmH1pRifE+d\nS2+zzqUb8cSv7sKEo4/FsOyKwE8KKeHQnNm2mz29zUtPl4f208ZXsXy94Zi5H+dG9XjOO+yT8InX\nBvvVbXGcJmUdy1ngD+voMr3NTTecXLeh87q+zvO8cM/fOcdwDJwrjwf14zb2xza5rlOTN+scG1OS\n64Xbmeoy5nUZ80xJR+c5Vvf829/fcq5m/rpvtqn70n3qPOnUBl/y6twnmDq6fd0ut3M8psy2ox1L\n6rGF/XsLcPVt5+Oa2/+m1Pdi8R9exLU/XWD9wtEtP/ZB1E3ObSQnf7Hmr+dq3We53QuRcVVYl6nd\nGvpXlzHPVLfBvSh+lnPsPB+ondtIn/lwcrbJ1NTndqZe9q1bUDo1BYaQlh6s632gwcs++wlHvfzH\nKjf9hI/PObckqy9SWzZ+Cv+sk6wPw1tWbVFzcbC2wK0WRAIbtfae/G2kvPDt6vGnKPXjm3miVGh8\nuY3qZj5U53aLCegwH07G/XQ9XTecXNfReV1f5835ybmEy89LTrbZZjT+dR2d12Okdi7czpTbdWrL\nnHN+k4qptdUH38Bvq61KPlJbleyy1bWxoZipeOXnJSff3SN/TjHy/ONYe1r+PFZ2lqF/9bnBfHNL\nIRZdNRs3PboM2LkcD/66FMcdMwb+knVYsanMNlB8Nk4bmwZfnV99p+h+fJvjz3Ewfu3H3znPt7U2\nqPmVHBqsqnGMJGCeqd6m87qc2vWiy5hnSno6f6DGPyz+pQr/9Tb+WZPOx2kjk+GrbwmJ0S03PQdd\nbubHekxNeWfnT/MleDvHk4eCIN4sFKQzkUiu3fkE+MA5y9qOZJjaWzMlhV/mYVpz6pw8+2RKGuyT\ndbjN6R06YViPqQmgaY/1mJr2zf66X1u3Bl+u+Uqx03DMIa2or29W9wT2TSB8KfjWGTPx2lMfoOHz\nVdjROAUj1eZCHAP1Z8zNnElGheNiqrdZCpqOLmN9M372zXKT6jZ0+zzu3MbUtMc3v8GfGASwIEyo\nmPHo+fMlsaF6HwKnPPXil2lYcPn5KPSrFxIFpiTHrMdg8qxj+jPjZT2mZId4s87tQT/NdUiddAl+\n/fMxePxPz2BzZSO2rlmBrayg3hZ86CD1ZLV2wWUM9Ta2q/tzYg4aQ0N5WRAT2kNq3Mxv49zvnozC\npnJUqS0tg3NOdWGeMee5pftos34GZNsPta3afH7n5p7saTlQD7c6txOlovty8rFvYmwN569pryNz\niK3q/plnSjo6b9ZZxtSMn9q5Te/L+nob8axL1K2Y9npG/grDQDKpNJfCHDOk0jvzt8/jlB+PO1O9\njfi+mL+OAePC1MSjTZ3bMyeHnks3ffQ2+F3ndL7LS7e3YYoGT/Zt+qF2vVA8rEPt7Y87WzuNzqiG\nriVJtY8APr9SG+eo825tVn/tT0dsuNnnNs6PKMfEbVzXqcmzLvcnuV7ID+tQe3sM7XshvhaxLtvT\nr/9sl2OnM4x+jmGMHLndQ68zz9T0R+3cRr1Zj6neRjzrcrzUphfTXmLz946PYuHYieo8ycz4zXjb\n2mqweYO94NAQ6M823PpTm15Yl6l7/jSSdkmDOprUYkdVtvpC65Ivcfszq4GaNXju9cNw9YmjLSW2\nRRXmeez1NktZ09Fl3M87f4rMmWdu90LJChcFJLsLoeSHfZDAPX96ZsxGgHWJcuHtL7geiZr92/lX\ndrmN7LgdX5HsmzLLX6udI8nYNtFoile80djQdbzsmfLw+dOYUPGjSX2gz0nfiF//rgRDcppQWpGL\nMcOb0RB4zY2fXjKp7nGo9J78rXQ8/3T1+PNxr883necx4URYxtScD9TObXpf1tfbiGddom7FtBfr\n8e82P91icWvjeNxk3GbGT+3cRv1Zj6neRjzrxp4/9aaSgTR1oJF9f/0+HHzev2HmqtvwgfrMmpGd\n6np+covFrc227+RAddZjasZP7dzmpq+3Ec+6secfuN9SZxmeE272eu/4G/m3qBcbjj4PD/28GH94\nRK2X1GzFu//i1ZIsTDt9ERaeMh5VZZVqM1an8DgyJYnOm3WWMaXDlq9UaWokqJ3HVO/L+nob8VS4\nj10L/csy7s9jTZQKXfe5jersm+fTARt/tbjfFhZ/igy4+KzJaKhtCsHfjNfWdP529/wp0pAFbnoy\n2y40LWiQeHowb8tbWuy9sXl/PR4w6kt8bW0d7r//fvUE93Dk5ORYbSTjYk08ZZpoQ0ODej+Z2mdT\nu4lgPS/KE4sp6bvxbm1uts0BdZuAof3ycc4DT+DS5Cbs2bELDQG47BvaVuuD+xNPfF918WPfN2Wo\nU18c0ITnGyaypccWatu7xn2Zmva4nakpNz2Y+bOccAhXQmwH5kvwhp5yVf/4gOc9t9rnn4mT73gC\n5xrfh7S2NKGmYq9axOV5GBoF+2ZKUjferS3UklPTdZ3W9lxj1W60FkzFT+4/Hr79e1BLd8RqS57M\nzHwU5KWiek8Z9jc4T+fodnWeLFOdjyFnzmVgvsLkHAMTpY3mxnrs37cLlfRGhkAJh7npyx5jd7wt\nU6312PnNXti779vGdRvE63X2z9ScQ04+nT2HOILYKOfClHq78W5tbp76Rv4ZweO1fl8p9qpv3bn0\njfyd447zZir52zd3+jXD7djR23z7dyMtcC5tUufSKnUupe3NMvv1Q79+2fCVl6JSnUupRHM+iVZP\nj4HPnzbV53cZ9qn5zdeuUWfcjCcuSEWL+sC2c6/avDXOwr51nGI1xTaYUn833q3NzVf3mrvONco8\nx3DsnBfT3pU/Zxme6nnzPNLbmGfK+Gx/4zE8vboJBRl1qAj8IGzaJHuLBtKleUAl2mON7YceQ/QJ\ngu7/9GNppzqWWtViRwUyp34fTxx/leXH61hi+5ay9ofbmZLIjXdrc8w488xpC3DqXqh05z74O/H+\n19qDO4B3O/9mA112+KOYYgnvSB+gKW8+pskU8zy+1BapePX3kpu2Y9U3+1sfLxKSfwOeueJ0fF7T\nH8efOx9DMwZhYF0FqqqSMbwoQ837Wiz+0en4xX5gwvELcMSQTCsUE79Y84lVv/Pyt4/vdvaNBq94\nveSGOevYZAxJxny4+Uj2IxWWMyVdN96tzc2uGU80578Q29YEtY9Lsm+f/6L5/OsWjXcb+2ZKPdx4\ntzY364nLnz+7qnWPnaWob7HnW82eNFzyuyfwfVX11+1F6b7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HFzC99Vb9RH7JF+r1ZhPT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\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hc5FIthkcaOazcEUyjWrG6UTJz7G1H7KyViPx8HwMc01HkP9sfJmQhc8CX8GEFHcsjHgF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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(filename='files/example-excel-file.png') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extracting main data\n",
    "\n",
    "OK, so we need to:\n",
    "\n",
    "* Extract the process and its reference product\n",
    "* Extract process metadata\n",
    "* Extract exchange values and links\n",
    "\n",
    "We could do this in a series of small functions chained together, but maybe it is easier to just process everything in one strategy.\n",
    "\n",
    "A strategy is a function that transforms your data - in our case, from a list of lists of raw data values to something we can interact with."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "uncertainty_mapping = {\n",
    "    0: UndefinedUncertainty.id,\n",
    "    1: LognormalUncertainty.id,\n",
    "    2: NormalUncertainty.id,\n",
    "    3: TriangularUncertainty.id,\n",
    "    4: UniformUncertainty.id\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "PROCESS_INDEX_NUMBER = 3707\n",
    "PROCESS_INDEX_COL = 0\n",
    "PROCESS_INDEX_ROW = 1\n",
    "PROCESS_NAME_ROW = 2\n",
    "PROCESS_LOCATION_ROW = 3\n",
    "PROCESS_UNIT_ROW = 5\n",
    "\n",
    "INPUT_GROUP_COL = 3\n",
    "OUTPUT_GROUP_COL = 4\n",
    "PRODUCTION_EXC_TYPE = 0\n",
    "TECHNOSPHERE_EXC_TYPE = 5\n",
    "BIOSPHERE_EXC_TYPE = 4\n",
    "\n",
    "CATEGORY_COL = 7\n",
    "SUBCATEGORY_COL = 8 \n",
    "\n",
    "EXCHANGE_PRODUCTION_NAME_COL = 5\n",
    "EXCHANGE_PRODUCT_COL = 12\n",
    "EXCHANGE_PROCESS_COL = 13\n",
    "EXCHANGE_LOCATION_COL = 14\n",
    "EXCHANGE_UNIT_COL = 10\n",
    "EXCHANGE_AMOUNT_DELTA = 0\n",
    "EXCHANGE_UNCERTAINTY_TYPE_DELTA = 1\n",
    "EXCHANGE_SD95_DELTA = 2\n",
    "EXCHANGE_COMMENT_DELTA = 3\n",
    "\n",
    "\n",
    "def get_exchange_type(data, row):\n",
    "    if data[row][INPUT_GROUP_COL] == TECHNOSPHERE_EXC_TYPE:\n",
    "        return \"technosphere\"\n",
    "    elif data[row][OUTPUT_GROUP_COL] == BIOSPHERE_EXC_TYPE:\n",
    "        return \"biosphere\"\n",
    "    elif data[row][INPUT_GROUP_COL] == BIOSPHERE_EXC_TYPE:\n",
    "        return \"biosphere\"\n",
    "    elif data[row][OUTPUT_GROUP_COL] == PRODUCTION_EXC_TYPE:\n",
    "        return \"production\"\n",
    "    else:\n",
    "        raise ValueError\n",
    "    \n",
    "\n",
    "def get_exchange_rows(data):\n",
    "    return [x for x in range(len(data)) \n",
    "            if data[x][PROCESS_INDEX_COL] \n",
    "            and data[x][PROCESS_INDEX_COL] != \"Index\"]\n",
    "    \n",
    "    \n",
    "def extract_exchanges(data, col):\n",
    "    return [{\n",
    "        'production name': data[row][EXCHANGE_PRODUCTION_NAME_COL],\n",
    "        'activity name': data[row][EXCHANGE_PROCESS_COL],\n",
    "        'categories': (data[row][CATEGORY_COL], data[row][SUBCATEGORY_COL],),\n",
    "        'type': get_exchange_type(data, row),\n",
    "        'reference product': data[row][EXCHANGE_PRODUCT_COL],\n",
    "        'unit': data[row][EXCHANGE_UNIT_COL],\n",
    "        'location': data[row][EXCHANGE_LOCATION_COL],\n",
    "        'amount': data[row][col + EXCHANGE_AMOUNT_DELTA] or 0,\n",
    "        'uncertainty type': uncertainty_mapping[data[row][col + EXCHANGE_UNCERTAINTY_TYPE_DELTA] or 0],\n",
    "        'sd95': data[row][col + EXCHANGE_SD95_DELTA],  # Will need to be transformed\n",
    "        'comment': data[row][col + EXCHANGE_COMMENT_DELTA]\n",
    "    } for row in get_exchange_rows(data)]\n",
    "    \n",
    "\n",
    "def extract_process(data, col, sheet):\n",
    "    return {\n",
    "        'name': data[PROCESS_NAME_ROW][col],\n",
    "        'unit': data[PROCESS_UNIT_ROW][col],\n",
    "        'location': data[PROCESS_LOCATION_ROW][col],\n",
    "        'worksheet': sheet,\n",
    "        'exchanges': extract_exchanges(data, col)\n",
    "    }\n",
    "\n",
    "\n",
    "def process_sample_worksheet(obj):\n",
    "    ws_name, data = obj\n",
    "\n",
    "    nrows, ncols = len(data), len(data[0])\n",
    "    \n",
    "    # Create dictionary of processes referred to by column index\n",
    "    processes = [extract_process(data, col, ws_name) \n",
    "                 for col in range(ncols) \n",
    "                 if data[PROCESS_INDEX_ROW][col] == PROCESS_INDEX_NUMBER]\n",
    "    \n",
    "    return processes\n",
    "\n",
    "\n",
    "def process_sample_excel_data(data):\n",
    "    return [item for obj in data for item in process_sample_worksheet(obj)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data manipulation strategies\n",
    "\n",
    "We can now decide if we want the name to refer to `activity name` or `production name`; This is actually pretty easy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def choose_name(data):\n",
    "    \"\"\"Get either activity or production name, and set to `name` field.\"\"\"\n",
    "    for ds in data:\n",
    "        for exc in ds['exchanges']:\n",
    "            exc['name'] = exc['activity name'] or exc['production name']\n",
    "            del exc['production name']\n",
    "            del exc['activity name']\n",
    "    return data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Delete fields where we don't have data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def clean_blank_fields(data):\n",
    "    \"\"\"Delete all exchange fields whose value is `''`.\"\"\"\n",
    "    for ds in data:\n",
    "        ds['exchanges'] = [{k: v for k, v in exc.items() if v is not ''} \n",
    "                           for exc in ds['exchanges']]\n",
    "    return data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's see what our data looks like so far:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'exchanges': [{'amount': 1.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'name': 'plastic bottles compressed, from retail warehouse to recycling, 2012',\n",
       "    'type': 'production',\n",
       "    'uncertainty type': 0,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': 0,\n",
       "    'categories': ('-', '-'),\n",
       "    'name': 'plastic bottles compressed, from recycling collection point to recycling, 2012',\n",
       "    'type': 'production',\n",
       "    'uncertainty type': 0,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': 1.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(1,1,2,1,1,5); recycling expenses from German recycler (system process);',\n",
       "    'location': 'CH',\n",
       "    'name': 'dummy, bottle recycling, mechanical, at plant',\n",
       "    'reference product': 'dummy bottles, recycling',\n",
       "    'sd95': 1.2105049293582961,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': -2.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(1,1,2,1,1,5); Innorecycling only produces HDPE regranulate, which can contain up to 3 % PP (impurity); personal communication Markus Tonner from InnoRecycling; represents the fraction received from Coop 2015;',\n",
       "    'location': 'RER',\n",
       "    'name': 'polyethylene production, high density, granulate',\n",
       "    'reference product': 'polyethylene, high density, granulate',\n",
       "    'sd95': 1.2105049293582961,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': 0.011385012218300298,\n",
       "    'categories': ('air', 'high population density'),\n",
       "    'comment': '(1,4,2,1,1,5); due to electricity consumption',\n",
       "    'name': 'Heat, waste',\n",
       "    'sd95': 1.2379951868875012,\n",
       "    'type': 'biosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'MJ'},\n",
       "   {'amount': 3.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(1,1,2,1,1,5); float-sink sorting by Innorecycling: PET (4%), PP (2%) and GVK fraction (4%) are sorted out and going to incineration (50% cement kiln, 50% municipal incineration plant); personal communication Markus Tonner, represents the fraction received from Coop 2015;',\n",
       "    'location': 'CH',\n",
       "    'name': 'treatment of waste plastic, mixture, municipal incineration',\n",
       "    'reference product': 'waste plastic, mixture',\n",
       "    'sd95': 1.2105049293582961,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': 4.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(2,1,1,1,1,5); Innorecycling',\n",
       "    'location': 'CH',\n",
       "    'name': 'treatment of municipal solid waste, incineration',\n",
       "    'reference product': 'municipal solid waste',\n",
       "    'sd95': 1.2152396494091648,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': 5.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(2,1,1,1,1,5); Innorecycling',\n",
       "    'location': 'CH',\n",
       "    'name': 'treatment of waste graphical paper, municipal incineration',\n",
       "    'reference product': 'waste graphical paper',\n",
       "    'sd95': 1.2152396494091648,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': 6.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(1,1,2,1,1,5); float-sink sorting by Innorecycling: PET (4%), PP (2%) and GVK fraction (4%) are sorted out and going to incineration (50% cement kiln, 50% municipal incineration plant); personal communication Markus Tonner, represents the fraction received from Coop 2015;',\n",
       "    'location': 'CH',\n",
       "    'name': 'dummay, plastic mixture, to cement kiln',\n",
       "    'reference product': 'dummy waste plastic, mixture ',\n",
       "    'sd95': 1.2105049293582961,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': 7.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(1,1,2,1,1,5); average transport distance to the recycling plant (Innorecycling)  (assumption);',\n",
       "    'location': 'CH',\n",
       "    'name': 'transport, freight, lorry 16-32 metric ton, EURO5',\n",
       "    'reference product': 'transport, freight, lorry 16-32 metric ton, EURO5 [metric ton*km]',\n",
       "    'sd95': 2.0489631280393423,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'tkm'},\n",
       "   {'amount': 8.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(1,1,2,1,1,5); Some retail warehouses (Verteilzentrum Ostschweiz, Gossau) of Migros send their plastic bottles to Innorecycling by train (Borema Umwelttechnik);',\n",
       "    'location': 'FR',\n",
       "    'name': 'transport, freight train',\n",
       "    'reference product': 'transport, freight train',\n",
       "    'sd95': 2.0489631280393423,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'tkm'}],\n",
       "  'location': 'CH',\n",
       "  'name': 'plastic bottles compressed, from retail warehouse to recycling, 2012',\n",
       "  'unit': 'kg',\n",
       "  'worksheet': 'sheet 1'},\n",
       " {'exchanges': [{'amount': 0,\n",
       "    'categories': ('-', '-'),\n",
       "    'name': 'plastic bottles compressed, from retail warehouse to recycling, 2012',\n",
       "    'type': 'production',\n",
       "    'uncertainty type': 0,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': 1.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'name': 'plastic bottles compressed, from recycling collection point to recycling, 2012',\n",
       "    'type': 'production',\n",
       "    'uncertainty type': 0,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': 1.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(1,1,2,1,1,5); recycling expenses from German recycler (system process);',\n",
       "    'location': 'CH',\n",
       "    'name': 'dummy, bottle recycling, mechanical, at plant',\n",
       "    'reference product': 'dummy bottles, recycling',\n",
       "    'sd95': 1.2105049293582961,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': -2.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(1,1,2,1,1,5); Innorecycling only produces HDPE regranulate, which can contain up to 3 % PP (impurity); personal communication Markus Tonner from InnoRecycling; represents the fraction received from Coop 2015;',\n",
       "    'location': 'RER',\n",
       "    'name': 'polyethylene production, high density, granulate',\n",
       "    'reference product': 'polyethylene, high density, granulate',\n",
       "    'sd95': 1.2105049293582961,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': 0.202,\n",
       "    'categories': ('air', 'high population density'),\n",
       "    'comment': '(1,4,2,1,1,5); due to electricity consumption',\n",
       "    'name': 'Heat, waste',\n",
       "    'sd95': 1.2379951868875012,\n",
       "    'type': 'biosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'MJ'},\n",
       "   {'amount': 3.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(1,1,2,1,1,5); float-sink sorting by Innorecycling: PET (4%), PP (2%) and GVK fraction (4%) are sorted out and going to incineration (50% cement kiln, 50% municipal incineration plant); personal communication Markus Tonner, represents the fraction received from Coop 2015;',\n",
       "    'location': 'CH',\n",
       "    'name': 'treatment of waste plastic, mixture, municipal incineration',\n",
       "    'reference product': 'waste plastic, mixture',\n",
       "    'sd95': 1.2105049293582961,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': 4.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(2,1,1,1,1,5); 10% are etiquettes and residual liquid, personal communication Markus Tonner; represents the fraction received by Innorecycling from Coop 2015;',\n",
       "    'location': 'CH',\n",
       "    'name': 'treatment of municipal solid waste, incineration',\n",
       "    'reference product': 'municipal solid waste',\n",
       "    'sd95': 1.2152396494091648,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': 5.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(2,1,1,1,1,5); 10% are etiquettes and residual liquid, personal communication Markus Tonner; represents the fraction received by Innorecycling from Coop 2015;',\n",
       "    'location': 'CH',\n",
       "    'name': 'treatment of waste graphical paper, municipal incineration',\n",
       "    'reference product': 'waste graphical paper',\n",
       "    'sd95': 1.2152396494091648,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': 6.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(1,1,2,1,1,5); float-sink sorting by Innorecycling: PET (4%), PP (2%) and GVK fraction (4%) are sorted out and going to incineration (50% cement kiln, 50% municipal incineration plant); personal communication Markus Tonner, represents the fraction received from Coop 2015;',\n",
       "    'location': 'CH',\n",
       "    'name': 'dummay, plastic mixture, to cement kiln',\n",
       "    'reference product': 'dummy waste plastic, mixture ',\n",
       "    'sd95': 1.2105049293582961,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'kg'},\n",
       "   {'amount': 7.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(1,1,2,1,1,5); average transport distance to the recycling plant (Innorecycling)  (assumption);',\n",
       "    'location': 'CH',\n",
       "    'name': 'transport, freight, lorry 16-32 metric ton, EURO5',\n",
       "    'reference product': 'transport, freight, lorry 16-32 metric ton, EURO5 [metric ton*km]',\n",
       "    'sd95': 2.0489631280393423,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'tkm'},\n",
       "   {'amount': 8.0,\n",
       "    'categories': ('-', '-'),\n",
       "    'comment': '(1,1,2,1,1,5); Some retail warehouses (Verteilzentrum Ostschweiz, Gossau) of Migros send their plastic bottles to Innorecycling by train (Borema Umwelttechnik);',\n",
       "    'location': 'FR',\n",
       "    'name': 'transport, freight train',\n",
       "    'reference product': 'transport, freight train',\n",
       "    'sd95': 2.0489631280393423,\n",
       "    'type': 'technosphere',\n",
       "    'uncertainty type': 2,\n",
       "    'unit': 'tkm'}],\n",
       "  'location': 'CH',\n",
       "  'name': 'plastic bottles compressed, from recycling collection point to recycling, 2012',\n",
       "  'unit': 'kg',\n",
       "  'worksheet': 'sheet 1'}]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clean_blank_fields(choose_name(process_sample_excel_data(ex.data)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can drop production exchanges where the amount is one, as this is the default."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def drop_production_exchanges_amount_one(data):\n",
    "    \"\"\"Delete categories if not given in Excel file\"\"\"\n",
    "    for ds in data:\n",
    "        ds['exchanges'] = [exc for exc in ds['exchanges'] \n",
    "                           if not (exc['type'] == 'production' and exc['amount'] == 1)]\n",
    "    return data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also delete categories if none are present:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def delete_missing_categories(data):\n",
    "    \"\"\"Drop production exchanges where the amount is 1\"\"\"\n",
    "    for ds in data:\n",
    "        for exc in ds['exchanges']:\n",
    "            if exc['categories'] in {('', ''), ('-', '-')}:\n",
    "                del exc['categories']\n",
    "    return data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using existing strategies\n",
    "\n",
    "Next, we add some already created strategies to:\n",
    "\n",
    "* Normalize units\n",
    "* Delete production exchanges with amounts of 0\n",
    "* Normalize biosphere flow names and categories\n",
    "* Remove locations from biosphere exchanges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from bw2io.strategies import (\n",
    "    normalize_units,    \n",
    "    remove_zero_amount_coproducts,\n",
    "    normalize_biosphere_categories,\n",
    "    normalize_biosphere_names,\n",
    "    strip_biosphere_exc_locations,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Applying strategies and linking databases\n",
    "\n",
    "Let's add and apply our strategies:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Applying strategy: process_sample_excel_data\n",
      "Applying strategy: choose_name\n",
      "Applying strategy: clean_blank_fields\n",
      "Applying strategy: drop_production_exchanges_amount_one\n",
      "Applying strategy: delete_missing_categories\n",
      "Applying strategy: normalize_units\n",
      "Applying strategy: remove_zero_amount_coproducts\n",
      "Applying strategy: normalize_biosphere_categories\n",
      "Applying strategy: normalize_biosphere_names\n",
      "Applying strategy: strip_biosphere_exc_locations\n",
      "Applied 10 strategies in 0.01 seconds\n"
     ]
    }
   ],
   "source": [
    "ex.strategies = [\n",
    "    process_sample_excel_data,\n",
    "    choose_name,\n",
    "    clean_blank_fields,\n",
    "    drop_production_exchanges_amount_one,\n",
    "    delete_missing_categories,\n",
    "    normalize_units,    \n",
    "    remove_zero_amount_coproducts,\n",
    "    normalize_biosphere_categories,\n",
    "    normalize_biosphere_names, \n",
    "    strip_biosphere_exc_locations,\n",
    "]\n",
    "\n",
    "ex.apply_strategies()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 datasets\n",
      "18 exchanges\n",
      "18 unlinked exchanges\n",
      "  Type biosphere: 1 unique unlinked exchanges\n",
      "  Type technosphere: 8 unique unlinked exchanges\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(2, 18, 18)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ex.statistics()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Applying strategy: link_iterable_by_fields\n",
      "2 datasets\n",
      "18 exchanges\n",
      "8 unlinked exchanges\n",
      "  Type biosphere: 1 unique unlinked exchanges\n",
      "  Type technosphere: 3 unique unlinked exchanges\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(2, 18, 8)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ex.match_database(\"ecoinvent 3.1 cutoff\")\n",
    "ex.statistics()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Applying strategy: link_iterable_by_fields\n",
      "2 datasets\n",
      "18 exchanges\n",
      "6 unlinked exchanges\n",
      "  Type technosphere: 3 unique unlinked exchanges\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(2, 18, 6)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ex.match_database(config.biosphere, kind=\"biosphere\")\n",
    "ex.statistics()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'unit': 'kilogram', 'uncertainty type': 2, 'sd95': 1.2105049293582961, 'comment': '(1,1,2,1,1,5); recycling expenses from German recycler (system process);', 'reference product': 'dummy bottles, recycling', 'amount': 1.0, 'type': 'technosphere', 'location': 'CH', 'name': 'dummy, bottle recycling, mechanical, at plant'}\n",
      "{'unit': 'kilogram', 'uncertainty type': 2, 'sd95': 1.2105049293582961, 'comment': '(1,1,2,1,1,5); float-sink sorting by Innorecycling: PET (4%), PP (2%) and GVK fraction (4%) are sorted out and going to incineration (50% cement kiln, 50% municipal incineration plant); personal communication Markus Tonner, represents the fraction received from Coop 2015;', 'reference product': 'dummy waste plastic, mixture ', 'amount': 6.0, 'type': 'technosphere', 'location': 'CH', 'name': 'dummay, plastic mixture, to cement kiln'}\n",
      "{'unit': 'ton kilometer', 'uncertainty type': 2, 'sd95': 2.0489631280393423, 'comment': '(1,1,2,1,1,5); average transport distance to the recycling plant (Innorecycling)  (assumption);', 'reference product': 'transport, freight, lorry 16-32 metric ton, EURO5 [metric ton*km]', 'amount': 7.0, 'type': 'technosphere', 'location': 'CH', 'name': 'transport, freight, lorry 16-32 metric ton, EURO5'}\n"
     ]
    }
   ],
   "source": [
    "for exc in ex.unlinked:\n",
    "    print(exc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And this is quite reasonable - the three unlinked inputs are not found in Ecoinvent, and therefore shouldn't be linked.\n",
    "\n",
    "The next step would be one of manually link these missing exchanges, writing a data migration to change the input values, and then re-linking to ecoinvent, or creating the unlinked inputs as new processes.\n",
    "\n",
    "Currently, we can write the dataset in its current state with `ex.write_unlinked`; after linking, we would write the database with `ex.write_database`."
   ]
  }
 ],
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