udpate RQ1

RQs/RQ2/calculate_number_columns.ipynb

@@ -1,118 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "346b7f2a",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "==================================================\n",
-      "DATABASE INVENTORY: users4.db\n",
-      "==================================================\n",
-      "\n",
-      "TABLE: users\n",
-      "COLUMNS (10): user_id, first_name, last_name, email, phone, street, city, state, zip_code, created_at\n",
-      "--------------------------------------------------\n",
-      "TABLE: messages\n",
-      "COLUMNS (4): message_id, sender_id, content, sent_at\n",
-      "--------------------------------------------------\n",
-      "\n",
-      "SUMMARY:\n",
-      "Total Tables:  2\n",
-      "Total Columns: 14\n",
-      "==================================================\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "import sqlite3\n",
-    "\n",
-    "def print_database_inventory(db_path: str):\n",
-    "    \"\"\"\n",
-    "    Connects to a SQLite database and prints every table \n",
-    "    along with its associated columns.\n",
-    "    \"\"\"\n",
-    "    try:\n",
-    "        # 1. Connect to the database\n",
-    "        conn = sqlite3.connect(db_path)\n",
-    "        cur = conn.cursor()\n",
-    "\n",
-    "        # 2. Get all table names\n",
-    "        cur.execute(\"SELECT name FROM sqlite_master WHERE type='table';\")\n",
-    "        tables = [row[0] for row in cur.fetchall()]\n",
-    "\n",
-    "        print(f\"\\n{'='*50}\")\n",
-    "        print(f\"DATABASE INVENTORY: {db_path}\")\n",
-    "        print(f\"{'='*50}\\n\")\n",
-    "\n",
-    "        total_cols = 0\n",
-    "\n",
-    "        # 3. Iterate through each table to find columns\n",
-    "        for table_name in tables:\n",
-    "            # PRAGMA table_info returns (id, name, type, notnull, default_value, pk)\n",
-    "            cur.execute(f\"PRAGMA table_info('{table_name}');\")\n",
-    "            columns = cur.fetchall()\n",
-    "            \n",
-    "            col_names = [col[1] for col in columns]\n",
-    "            total_cols += len(col_names)\n",
-    "\n",
-    "            # 4. Print the result in a clean format\n",
-    "            print(f\"TABLE: {table_name}\")\n",
-    "            print(f\"COLUMNS ({len(col_names)}): {', '.join(col_names)}\")\n",
-    "            print(\"-\" * 50)\n",
-    "\n",
-    "        print(f\"\\nSUMMARY:\")\n",
-    "        print(f\"Total Tables:  {len(tables)}\")\n",
-    "        print(f\"Total Columns: {total_cols}\")\n",
-    "        print(f\"{'='*50}\\n\")\n",
-    "\n",
-    "    except sqlite3.Error as e:\n",
-    "        print(f\"Database error: {e}\")\n",
-    "    finally:\n",
-    "        if conn:\n",
-    "            conn.close()\n",
-    "\n",
-    "# Usage:\n",
-    "# print_database_inventory(\"msgstore.db\")\n",
-    "# Example usage:\n",
-    "DB_PATH = r\"users4.db\"\n",
-    "count = print_database_inventory(DB_PATH)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6f200703",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
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-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.18"
-  }
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- "nbformat": 4,
- "nbformat_minor": 5
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