{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import re\n",
    "df = pd.read_csv(\"../train-data/sql_train.tsv\", sep=\"\\t\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['natural_query', 'sql_query', 'result'], dtype='object')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## By character count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "less_than_90 = short_queries = df[df['sql_query'].str.len() < 90]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "short_queries.to_csv(\"../train-data/less_than_90.tsv\", sep=\"\\t\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## From to Where"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['after_from'] = df['sql_query'].str.extract(r'FROM\\s+(\\w+)', flags=re.IGNORECASE)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0              team\n",
       "1              game\n",
       "2              game\n",
       "3              game\n",
       "4              game\n",
       "           ...     \n",
       "1039           game\n",
       "1040           game\n",
       "1041    other_stats\n",
       "1042    other_stats\n",
       "1043           game\n",
       "Name: after_from, Length: 1044, dtype: object"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['after_from']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['team', 'game', 'other_stats'], dtype=object)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['after_from'].dropna().unique()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_game = df[df['after_from'] == 'game']\n",
    "df_game.to_csv(\"../train-data/queries_from_game.tsv\", sep=\"\\t\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_game = df[df['after_from'] == 'team']\n",
    "df_game.to_csv(\"../train-data/queries_from_team.tsv\", sep=\"\\t\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_game = df[df['after_from'] == 'other_stats']\n",
    "df_game.to_csv(\"../train-data/queries_from_other_stats.tsv\", sep=\"\\t\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Contain Join"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Queries that contain the word JOIN (case-insensitive)\n",
    "df_with_join = df[df['sql_query'].str.contains(r'\\bJOIN\\b', case=False, na=False)]\n",
    "df_with_join.to_csv(\"../train-data/with_join.tsv\", sep=\"\\t\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Queries that do NOT contain the word JOIN\n",
    "df_without_join = df[~df['sql_query'].str.contains(r'\\bJOIN\\b', case=False, na=False)]\n",
    "df_without_join.to_csv(\"../train-data/without_join.tsv\", sep=\"\\t\", index=False)"
   ]
  }
 ],
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   "display_name": "CSCI544",
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  "language_info": {
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