generate_wlm_mapping_tables_per_source_table.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd # Beautiful tool for data wrangling! e.g. '!pip install pandas' from a Notebook\n",
    "# See https://mariadb.com/blog/how-connect-python-programs-mariadb e.g. '!pip install mysql' from Notebook\n",
    "import MySQLdb \n",
    "import re\n",
    "from collections import Counter\n",
    "import os\n",
    "from collections import OrderedDict\n",
    "import pickle\n",
    "\n",
    "pd.set_option(\"display.max_rows\",35) # Useful when having large Pandas DataFrames like we do here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "conn = MySQLdb.connect(user='mos', passwd='', db='monuments_db', charset='utf8', use_unicode=True)\n",
    "cursor = conn.cursor()\n",
    "cursor.execute(\"SET NAMES utf8\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def create_mapping_table_from_source_tables(table):\n",
    "    \"\"\"Takes a Pandas DataFrame object and writes wikitables to files named after the table they are\n",
    "    produced from to {the current Directory}/wikitables/\n",
    "    \"\"\"\n",
    "    sql = 'SELECT * FROM `{}`'.format(table)\n",
    "    df = pd.io.sql.read_sql(conn.escape_string(sql), conn)\n",
    "    \n",
    "    country_fields = list(df.keys())\n",
    "    country_values = list(df.ix[0]) # get first row in table as example data from \n",
    "    country_data = list(zip(country_fields, country_values))\n",
    "    \n",
    "    table_header = '{| class=\"wikitable\" style=\"width: 675px;\\n'\n",
    "    table_name = '|+ '+table + \"\\n\"\n",
    "    # create table columns\n",
    "    table_columns = \"! heritage field\\n! example value\\n! Wikidata property\\n! Conversion\\n! Comment\\n|-\\n\"\n",
    "    table_rows = []\n",
    "    for (field, value) in zip(country_fields, country_values):\n",
    "        row=\"| \"+ str(field) + \"\\n| \" + str(value) + \"\\n|\\n| \\n| \\n|-\\n\"\n",
    "        table_rows.append(row)\n",
    "    \n",
    "    table_rows_str = \"\".join(table_rows)\n",
    "    # Fill in examples values from the first record in the table\n",
    "    table_footer = \"\\n|}\"\n",
    "    wikitable = table_header + table_name + table_columns + table_rows_str[:-1] + table_footer\n",
    "    \n",
    "    if os.path.isdir(\"./mappingtables\"):\n",
    "        out = open(\"./mappingtables/\" + table + \".mappingtable\",\"w\")\n",
    "        out.write(wikitable)\n",
    "        out.flush()\n",
    "        \n",
    "        print(\"Directory ./files exists. Wrote file {}\".format(out.name))\n",
    "        out.close()\n",
    "    else:\n",
    "        os.mkdir(\"./mappingtables\")\n",
    "        with open(\"./mappingtables/\" + table + \".mappingtable\",\"w\") as out:\n",
    "            out.write(wikitable)\n",
    "            print(\"./mappingtables doesn't exist. Created it and wrote file {}\".format(out.name))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./mappingtables doesn't exist. Created it and wrote file ./mappingtables/monuments_hk-hb_(en).mappingtable\n",
      "Directory ./files exists. Wrote file ./mappingtables/monuments_nl-prov_(nl).mappingtable\n",
      "Directory ./files exists. Wrote file ./mappingtables/monuments_at_(de).mappingtable\n",
      "Directory ./files exists. Wrote file ./mappingtables/monuments_ee_(et).mappingtable\n",
      "Directory ./files exists. Wrote file ./mappingtables/se_fornmin.mappingtable\n",
      "Directory ./files exists. Wrote file ./mappingtables/se_bbr.mappingtable\n",
      "Directory ./files exists. Wrote file ./mappingtables/monuments_it_(it).mappingtable\n",
      "Directory ./files exists. Wrote file ./mappingtables/monuments_be-wal_(en).mappingtable\n",
      "Directory ./files exists. Wrote file ./mappingtables/monuments_th_(th).mappingtable\n",
      "Directory ./files exists. Wrote file ./mappingtables/monuments_sk_(de).mappingtable\n",
      "Directory ./files exists. Wrote file ./mappingtables/monuments_jo_(ar).mappingtable\n",
      "Directory ./files exists. Wrote file ./mappingtables/monuments_il_(he).mappingtable\n",
      "Directory ./files exists. Wrote file ./mappingtables/monuments_de-nrw-bm_(de).mappingtable\n",
      "Directory ./files exists. Wrote file ./mappingtables/monuments_sv_(es).mappingtable\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-6-0475956e1830>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mfinal_tables\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpickle\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"./final_tables.pickle\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m\"rb\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mtable\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mfinal_tables\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     \u001b[0mcreate_mapping_table_from_source_tables\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtable\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-5-5080a9d057d7>\u001b[0m in \u001b[0;36mcreate_mapping_table_from_source_tables\u001b[1;34m(table)\u001b[0m\n\u001b[0;32m      4\u001b[0m     \"\"\"\n\u001b[0;32m      5\u001b[0m     \u001b[0msql\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'SELECT * FROM `{}`'\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtable\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m     \u001b[0mdf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mio\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msql\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread_sql\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mescape_string\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msql\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mconn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      7\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      8\u001b[0m     \u001b[0mcountry_fields\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/mos/anaconda3/lib/python3.5/site-packages/pandas/io/sql.py\u001b[0m in \u001b[0;36mread_sql\u001b[1;34m(sql, con, index_col, coerce_float, params, parse_dates, columns, chunksize)\u001b[0m\n\u001b[0;32m    497\u001b[0m             \u001b[0msql\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex_col\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mindex_col\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mparams\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    498\u001b[0m             \u001b[0mcoerce_float\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcoerce_float\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparse_dates\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mparse_dates\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 499\u001b[1;33m             chunksize=chunksize)\n\u001b[0m\u001b[0;32m    500\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    501\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/mos/anaconda3/lib/python3.5/site-packages/pandas/io/sql.py\u001b[0m in \u001b[0;36mread_query\u001b[1;34m(self, sql, index_col, coerce_float, params, parse_dates, chunksize)\u001b[0m\n\u001b[0;32m   1593\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1594\u001b[0m         \u001b[0margs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_convert_params\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msql\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1595\u001b[1;33m         \u001b[0mcursor\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1596\u001b[0m         \u001b[0mcolumns\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mcol_desc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mcol_desc\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mcursor\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdescription\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1597\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/mos/anaconda3/lib/python3.5/site-packages/pandas/io/sql.py\u001b[0m in \u001b[0;36mexecute\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m   1558\u001b[0m                 \u001b[0mcur\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1559\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1560\u001b[1;33m                 \u001b[0mcur\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1561\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mcur\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1562\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/mos/anaconda3/lib/python3.5/site-packages/MySQLdb/cursors.py\u001b[0m in \u001b[0;36mexecute\u001b[1;34m(self, query, args)\u001b[0m\n\u001b[0;32m    215\u001b[0m         \u001b[0mres\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    216\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 217\u001b[1;33m             \u001b[0mres\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_query\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mquery\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    218\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mm\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    219\u001b[0m             if m.args[0] in (\"not enough arguments for format string\",\n",
      "\u001b[1;32m/home/mos/anaconda3/lib/python3.5/site-packages/MySQLdb/cursors.py\u001b[0m in \u001b[0;36m_query\u001b[1;34m(self, q)\u001b[0m\n\u001b[0;32m    376\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    377\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_query\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mq\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 378\u001b[1;33m         \u001b[0mrowcount\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_do_query\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mq\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    379\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_post_get_result\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    380\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mrowcount\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/mos/anaconda3/lib/python3.5/site-packages/MySQLdb/cursors.py\u001b[0m in \u001b[0;36m_do_query\u001b[1;34m(self, q)\u001b[0m\n\u001b[0;32m    340\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_last_executed\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mq\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    341\u001b[0m         \u001b[0mdb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mquery\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mq\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 342\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_do_get_result\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    343\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrowcount\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    344\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/mos/anaconda3/lib/python3.5/site-packages/MySQLdb/cursors.py\u001b[0m in \u001b[0;36m_do_get_result\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    152\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_do_get_result\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    153\u001b[0m         \u001b[0mdb\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_db\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 154\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_result\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_result\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    155\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrowcount\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0maffected_rows\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    156\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrownumber\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/mos/anaconda3/lib/python3.5/site-packages/MySQLdb/cursors.py\u001b[0m in \u001b[0;36m_get_result\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    373\u001b[0m     query, or using CursorUseResultMixIn instead.\"\"\"\n\u001b[0;32m    374\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 375\u001b[1;33m     \u001b[1;32mdef\u001b[0m \u001b[0m_get_result\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_db\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstore_result\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    376\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    377\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_query\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mq\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "final_tables = pickle.load(open(\"./final_tables.pickle\",\"rb\"))\n",
    "for table in final_tables:\n",
    "    create_mapping_table_from_source_tables(table)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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