{
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  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bb08745f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Table 'PopularWords' created\n",
      "Analysis has been completed and the analyzed data has been saved in the database.\n"
     ]
    }
   ],
   "source": [
    "import csv\n",
    "from collections import defaultdict\n",
    "import re\n",
    "from database import (drop_table,create_table,insert_word)\n",
    "\n",
    "table_name = \"PopularWords\"\n",
    "drop_table(table_name)\n",
    "create_table(table_name, \"word\",\"count\")\n",
    "\n",
    "# create a defaultdict to keep track of word counts\n",
    "words_with_count = defaultdict(int)\n",
    "\n",
    "# open the CSV file and read it using the csv module\n",
    "with open('data/reviews.csv', 'r') as file:\n",
    "    reader = csv.DictReader(file)\n",
    "    # iterate over each row in the file\n",
    "    for row in reader:\n",
    "        # extract the review title from the row\n",
    "        title = row['title']\n",
    "        # remove any non-letter characters, except spaces\n",
    "        title = re.sub(r'[^a-zA-Z\\s]', '', title)\n",
    "        # split the title into individual words\n",
    "        words = title.split()\n",
    "        # iterate over each word in the title and increment its count in the defaultdict\n",
    "        for word in words:\n",
    "            words_with_count[word] += 1\n",
    "for word in words_with_count:\n",
    "    insert_word(table_name,word, words_with_count[word])\n",
    "print(\"Analysis has been completed and the analyzed data has been saved in the database.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "81884aa1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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