{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "import configparser\n",
    "import os\n",
    "from pathlib import Path\n",
    "from pyspark.sql import SparkSession"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "# CONFIG\n",
    "config = configparser.ConfigParser()\n",
    "config.read('dl.cfg')\n",
    "\n",
    "KEY = config.get('AWS', 'AWS_ACCESS_KEY_ID')\n",
    "SECRET = config.get('AWS', 'AWS_SECRET_ACCESS_KEY')\n",
    "output_data = './data/outputs'# config.get('S3', 'DEST_S3_BUCKET')\n",
    "\n",
    "\n",
    "os.environ['AWS_ACCESS_KEY_ID']=KEY\n",
    "os.environ['AWS_SECRET_ACCESS_KEY']=SECRET"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "spark = SparkSession.builder\\\n",
    "                    .config(\"spark.jars.packages\", \"org.apache.hadoop:hadoop-aws:2.7.0\")\\\n",
    "                    .enableHiveSupport().getOrCreate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": [
    "s3_bucket = Path(output_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Table: city_code\n",
      "root\n",
      " |-- city_code: string (nullable = true)\n",
      " |-- city: string (nullable = true)\n",
      "\n",
      "Table: d_temperature\n",
      "root\n",
      " |-- dt: date (nullable = true)\n",
      " |-- avg_temp: string (nullable = true)\n",
      " |-- avg_temp_uncertnty: string (nullable = true)\n",
      " |-- city: string (nullable = true)\n",
      " |-- country: string (nullable = true)\n",
      " |-- year: integer (nullable = true)\n",
      " |-- month: integer (nullable = true)\n",
      "\n",
      "Table: d_citizen\n",
      "root\n",
      " |-- cic_id: double (nullable = true)\n",
      " |-- citizen_country: double (nullable = true)\n",
      " |-- residence_country: double (nullable = true)\n",
      " |-- birth_year: double (nullable = true)\n",
      " |-- gender: string (nullable = true)\n",
      " |-- ins_num: string (nullable = true)\n",
      " |-- immi_citizen_id: long (nullable = true)\n",
      "\n",
      "Table: d_airline\n",
      "root\n",
      " |-- cic_id: double (nullable = true)\n",
      " |-- airline: string (nullable = true)\n",
      " |-- admin_num: double (nullable = true)\n",
      " |-- flight_number: string (nullable = true)\n",
      " |-- visa_type: string (nullable = true)\n",
      " |-- immi_airline_id: long (nullable = true)\n",
      "\n",
      "Table: f_immigration\n",
      "root\n",
      " |-- cic_id: double (nullable = true)\n",
      " |-- year: double (nullable = true)\n",
      " |-- month: double (nullable = true)\n",
      " |-- city_code: string (nullable = true)\n",
      " |-- arrive_date: date (nullable = true)\n",
      " |-- departure_date: date (nullable = true)\n",
      " |-- mode: double (nullable = true)\n",
      " |-- visa: double (nullable = true)\n",
      " |-- immigration_id: long (nullable = true)\n",
      " |-- country: string (nullable = true)\n",
      " |-- state_code: string (nullable = true)\n",
      "\n",
      "Table: d_demog_statistics\n",
      "root\n",
      " |-- city: string (nullable = true)\n",
      " |-- state: string (nullable = true)\n",
      " |-- median_age: string (nullable = true)\n",
      " |-- avg_household_size: string (nullable = true)\n",
      " |-- d_demog_statistics: long (nullable = true)\n",
      "\n",
      "Table: country_code\n",
      "root\n",
      " |-- country_code: string (nullable = true)\n",
      " |-- country: string (nullable = true)\n",
      "\n",
      "Table: state_code\n",
      "root\n",
      " |-- state_code: string (nullable = true)\n",
      " |-- state: string (nullable = true)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for file_dir in s3_bucket.iterdir():\n",
    "    if file_dir.is_dir():\n",
    "        path = str(file_dir)\n",
    "        df = spark.read.parquet(path)\n",
    "        print(\"Table: \" + path.split('/')[-1])\n",
    "        schema = df.printSchema()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Table: city_code is not empty: total 660 records.\n",
      "Table: d_temperature is not empty: total 687004 records.\n",
      "Table: d_citizen is not empty: total 3096313 records.\n",
      "Table: d_airline is not empty: total 3096313 records.\n",
      "Table: f_immigration is not empty: total 3096313 records.\n",
      "Table: d_demog_statistics is not empty: total 596 records.\n",
      "Table: country_code is not empty: total 235 records.\n",
      "Table: state_code is not empty: total 55 records.\n"
     ]
    }
   ],
   "source": [
    "for file_dir in s3_bucket.iterdir():\n",
    "    if file_dir.is_dir():\n",
    "        path = str(file_dir)\n",
    "        df = spark.read.parquet(path)\n",
    "        record_num = df.count()\n",
    "        if record_num <= 0:\n",
    "            raise ValueError(\"This table is empty!\")\n",
    "        else:\n",
    "            print(\"Table: \" + path.split('/')[-1] + f\" is not empty: total {record_num} records.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "editable": true
   },
   "outputs": [],
   "source": []
  }
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