{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from smart_open import smart_open"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_rows', None)\n",
    "pd.set_option('display.max_colwidth', -1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "copy_results = []\n",
    "for file in [\n",
    "    'copy_results_201801-201803.json',\n",
    "    'copy_results_201804-201807.json',\n",
    "    'copy_results_201808-201810.json',\n",
    "    'copy_results_201812.json', \n",
    "    'copy_results_201901.json', \n",
    "    'copy_results_201902.json', \n",
    "    'copy_results_201903.json']:\n",
    "    with open(file, 'r') as f:\n",
    "        copy_results += json.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = []\n",
    "for result in copy_results:\n",
    "    copy_failed = len(result[1]) == 1\n",
    "    data.append(dict(\n",
    "        date=result[0][0],\n",
    "        org=result[0][1],\n",
    "        country=result[0][2],\n",
    "        report_type=result[0][3],\n",
    "        file=(None if copy_failed else result[1][0]),\n",
    "        status=('NOT_EXISTS' if copy_failed else result[1][1]),\n",
    "        rows_parsed=(None if copy_failed else result[1][2]),\n",
    "        rows_loaded=(None if copy_failed else result[1][3]),\n",
    "        error_limit=(None if copy_failed else result[1][4]),\n",
    "        errors_seen=(None if copy_failed else result[1][5]),\n",
    "        first_error=(None if copy_failed else result[1][6]),\n",
    "        first_error_line=(None if copy_failed else result[1][7]),\n",
    "        first_error_character=(None if copy_failed else result[1][8]),\n",
    "        first_error_column_name=(None if copy_failed else result[1][9]),\n",
    "        copy_message=(None if not copy_failed else result[1][0])\n",
    "    ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11c50a4e0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "query = df[['date', 'status']].groupby(['date', 'status']).size().unstack()\n",
    "query.plot(ax=ax, title='File load failures')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Partially loaded error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10b208978>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2016x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(28, 10))\n",
    "query = df[df.status == 'PARTIALLY_LOADED'][['date']].groupby(['date']).size()\n",
    "query.plot(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "failed_rows = df[df.status == 'PARTIALLY_LOADED'].eval('failed_rows = rows_parsed - rows_loaded')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14422"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.status == 'PARTIALLY_LOADED'].shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13810"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "failed_rows[failed_rows.failed_rows == 2].shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "612"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "failed_rows[failed_rows.failed_rows != 2].shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "failed_rows[failed_rows.failed_rows != 2][['failed_rows', 'date', 'org', 'country', 'report_type']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Failed Error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11bcd7d68>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2016x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(28, 10))\n",
    "query = df[df.status == 'LOAD_FAILED'][['date']].groupby(['date']).size()\n",
    "query.plot(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2408"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.status == 'LOAD_FAILED'].shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2232x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2232x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2232x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for report_type in ['Playlist', 'Activity', 'User']:\n",
    "    fig, ax = plt.subplots(figsize=(31, 10))\n",
    "    failed_playlists = df[(df.status == 'LOAD_FAILED') & (df.report_type == report_type)][['date']].groupby(['date']).size()\n",
    "    failed_playlists.plot(ax=ax, title=report_type)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Unique Errors by countries\n",
    "df[(df.status == 'LOAD_FAILED')][['date', 'report_type', 'country', 'first_error']] \\\n",
    "    .groupby(['date', 'report_type']) \\\n",
    "    .agg({\n",
    "        'country': lambda x: set(x),\n",
    "        'first_error': lambda x: set(x),\n",
    "    })"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Playlist File Errors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "report_start_date = '2018-01-01'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[(df.status == 'LOAD_FAILED') & (df.report_type == 'Playlist')&(df.date >= report_start_date)][['date', 'country', 'first_error']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[(df.status == 'PARTIALLY_LOADED') & (df.report_type == 'Playlist') & (df.date >= report_start_date)] \\\n",
    "[['date', 'country']]    \\\n",
    ".groupby(['date']) \\\n",
    "    .agg({\n",
    "        'country': lambda x: set(x)\n",
    "    })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[(df.report_type == 'Playlist') & (df.date == '2019-02-19')]#[['date', 'country']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[(df.status == 'LOAD_FAILED') & (df.report_type == 'Playlist')&(df.date >= report_start_date)]['file']#.to_csv('amu_playlists.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>copy_message</th>\n",
       "      <th>country</th>\n",
       "      <th>date</th>\n",
       "      <th>error_limit</th>\n",
       "      <th>errors_seen</th>\n",
       "      <th>file</th>\n",
       "      <th>first_error</th>\n",
       "      <th>first_error_character</th>\n",
       "      <th>first_error_column_name</th>\n",
       "      <th>first_error_line</th>\n",
       "      <th>org</th>\n",
       "      <th>report_type</th>\n",
       "      <th>rows_loaded</th>\n",
       "      <th>rows_parsed</th>\n",
       "      <th>status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>20143</th>\n",
       "      <td>None</td>\n",
       "      <td>ES</td>\n",
       "      <td>2019-03-27</td>\n",
       "      <td>708.0</td>\n",
       "      <td>708.0</td>\n",
       "      <td>s3://cucumbers/AmazonUnlimited/archives/2019-03-27/clean/ORED_ES_20190327_Daily_Playlist_Report.txt.gz</td>\n",
       "      <td>Number of columns in file (7) does not match that of the corresponding table (5), use file format option error_on_column_count_mismatch=false to ignore this error</td>\n",
       "      <td>1.0</td>\n",
       "      <td>\"AMAZON_UNLIMITED_DAILY_PLAYLIST_REPORT\"[7]</td>\n",
       "      <td>5.0</td>\n",
       "      <td>ORED</td>\n",
       "      <td>Playlist</td>\n",
       "      <td>0.0</td>\n",
       "      <td>708.0</td>\n",
       "      <td>LOAD_FAILED</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20146</th>\n",
       "      <td>None</td>\n",
       "      <td>FR</td>\n",
       "      <td>2019-03-27</td>\n",
       "      <td>756.0</td>\n",
       "      <td>756.0</td>\n",
       "      <td>s3://cucumbers/AmazonUnlimited/archives/2019-03-27/clean/ORED_FR_20190327_Daily_Playlist_Report.txt.gz</td>\n",
       "      <td>Number of columns in file (7) does not match that of the corresponding table (5), use file format option error_on_column_count_mismatch=false to ignore this error</td>\n",
       "      <td>1.0</td>\n",
       "      <td>\"AMAZON_UNLIMITED_DAILY_PLAYLIST_REPORT\"[7]</td>\n",
       "      <td>5.0</td>\n",
       "      <td>ORED</td>\n",
       "      <td>Playlist</td>\n",
       "      <td>0.0</td>\n",
       "      <td>756.0</td>\n",
       "      <td>LOAD_FAILED</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20149</th>\n",
       "      <td>None</td>\n",
       "      <td>GB</td>\n",
       "      <td>2019-03-27</td>\n",
       "      <td>1254.0</td>\n",
       "      <td>1254.0</td>\n",
       "      <td>s3://cucumbers/AmazonUnlimited/archives/2019-03-27/clean/ORED_GB_20190327_Daily_Playlist_Report.txt.gz</td>\n",
       "      <td>Number of columns in file (7) does not match that of the corresponding table (5), use file format option error_on_column_count_mismatch=false to ignore this error</td>\n",
       "      <td>1.0</td>\n",
       "      <td>\"AMAZON_UNLIMITED_DAILY_PLAYLIST_REPORT\"[7]</td>\n",
       "      <td>5.0</td>\n",
       "      <td>ORED</td>\n",
       "      <td>Playlist</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1254.0</td>\n",
       "      <td>LOAD_FAILED</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20152</th>\n",
       "      <td>None</td>\n",
       "      <td>IT</td>\n",
       "      <td>2019-03-27</td>\n",
       "      <td>692.0</td>\n",
       "      <td>692.0</td>\n",
       "      <td>s3://cucumbers/AmazonUnlimited/archives/2019-03-27/clean/ORED_IT_20190327_Daily_Playlist_Report.txt.gz</td>\n",
       "      <td>Number of columns in file (7) does not match that of the corresponding table (5), use file format option error_on_column_count_mismatch=false to ignore this error</td>\n",
       "      <td>1.0</td>\n",
       "      <td>\"AMAZON_UNLIMITED_DAILY_PLAYLIST_REPORT\"[7]</td>\n",
       "      <td>5.0</td>\n",
       "      <td>ORED</td>\n",
       "      <td>Playlist</td>\n",
       "      <td>0.0</td>\n",
       "      <td>692.0</td>\n",
       "      <td>LOAD_FAILED</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20155</th>\n",
       "      <td>None</td>\n",
       "      <td>US</td>\n",
       "      <td>2019-03-27</td>\n",
       "      <td>3052.0</td>\n",
       "      <td>3052.0</td>\n",
       "      <td>s3://cucumbers/AmazonUnlimited/archives/2019-03-27/clean/ORED_US_20190327_Daily_Playlist_Report.txt.gz</td>\n",
       "      <td>Number of columns in file (7) does not match that of the corresponding table (5), use file format option error_on_column_count_mismatch=false to ignore this error</td>\n",
       "      <td>1.0</td>\n",
       "      <td>\"AMAZON_UNLIMITED_DAILY_PLAYLIST_REPORT\"[7]</td>\n",
       "      <td>5.0</td>\n",
       "      <td>ORED</td>\n",
       "      <td>Playlist</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3052.0</td>\n",
       "      <td>LOAD_FAILED</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      copy_message country        date  error_limit  errors_seen  \\\n",
       "20143  None         ES      2019-03-27  708.0        708.0         \n",
       "20146  None         FR      2019-03-27  756.0        756.0         \n",
       "20149  None         GB      2019-03-27  1254.0       1254.0        \n",
       "20152  None         IT      2019-03-27  692.0        692.0         \n",
       "20155  None         US      2019-03-27  3052.0       3052.0        \n",
       "\n",
       "                                                                                                         file  \\\n",
       "20143  s3://cucumbers/AmazonUnlimited/archives/2019-03-27/clean/ORED_ES_20190327_Daily_Playlist_Report.txt.gz   \n",
       "20146  s3://cucumbers/AmazonUnlimited/archives/2019-03-27/clean/ORED_FR_20190327_Daily_Playlist_Report.txt.gz   \n",
       "20149  s3://cucumbers/AmazonUnlimited/archives/2019-03-27/clean/ORED_GB_20190327_Daily_Playlist_Report.txt.gz   \n",
       "20152  s3://cucumbers/AmazonUnlimited/archives/2019-03-27/clean/ORED_IT_20190327_Daily_Playlist_Report.txt.gz   \n",
       "20155  s3://cucumbers/AmazonUnlimited/archives/2019-03-27/clean/ORED_US_20190327_Daily_Playlist_Report.txt.gz   \n",
       "\n",
       "                                                                                                                                                              first_error  \\\n",
       "20143  Number of columns in file (7) does not match that of the corresponding table (5), use file format option error_on_column_count_mismatch=false to ignore this error   \n",
       "20146  Number of columns in file (7) does not match that of the corresponding table (5), use file format option error_on_column_count_mismatch=false to ignore this error   \n",
       "20149  Number of columns in file (7) does not match that of the corresponding table (5), use file format option error_on_column_count_mismatch=false to ignore this error   \n",
       "20152  Number of columns in file (7) does not match that of the corresponding table (5), use file format option error_on_column_count_mismatch=false to ignore this error   \n",
       "20155  Number of columns in file (7) does not match that of the corresponding table (5), use file format option error_on_column_count_mismatch=false to ignore this error   \n",
       "\n",
       "       first_error_character                      first_error_column_name  \\\n",
       "20143  1.0                    \"AMAZON_UNLIMITED_DAILY_PLAYLIST_REPORT\"[7]   \n",
       "20146  1.0                    \"AMAZON_UNLIMITED_DAILY_PLAYLIST_REPORT\"[7]   \n",
       "20149  1.0                    \"AMAZON_UNLIMITED_DAILY_PLAYLIST_REPORT\"[7]   \n",
       "20152  1.0                    \"AMAZON_UNLIMITED_DAILY_PLAYLIST_REPORT\"[7]   \n",
       "20155  1.0                    \"AMAZON_UNLIMITED_DAILY_PLAYLIST_REPORT\"[7]   \n",
       "\n",
       "       first_error_line   org report_type  rows_loaded  rows_parsed  \\\n",
       "20143  5.0               ORED  Playlist    0.0          708.0         \n",
       "20146  5.0               ORED  Playlist    0.0          756.0         \n",
       "20149  5.0               ORED  Playlist    0.0          1254.0        \n",
       "20152  5.0               ORED  Playlist    0.0          692.0         \n",
       "20155  5.0               ORED  Playlist    0.0          3052.0        \n",
       "\n",
       "            status  \n",
       "20143  LOAD_FAILED  \n",
       "20146  LOAD_FAILED  \n",
       "20149  LOAD_FAILED  \n",
       "20152  LOAD_FAILED  \n",
       "20155  LOAD_FAILED  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df.status == 'LOAD_FAILED') & (df.report_type == 'Playlist') & (df.date >= report_start_date)].tail(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### User File Errors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 \t Failed to access remote file: access denied. Please check your credentials\n",
      "1 \t Number of columns in file (4) does not match that of the corresponding table (18), use file format option error_on_column_count_mismatch=false to ignore this error\n"
     ]
    }
   ],
   "source": [
    "for i, message in enumerate(df[(df.status == 'LOAD_FAILED') & (df.report_type == 'User')&(df.date >= report_start_date)]['first_error'].unique()):\n",
    "    print(i, '\\t', message)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[(df.status == 'LOAD_FAILED') & (df.report_type == 'User')&(df.date >= report_start_date)].sort_values(by=['date', 'org', 'country'])['file']#.to_csv('amu_empty_user.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[(df.status == 'LOAD_FAILED') & (df.report_type == 'User') & (df.date >= report_start_date) & (df.rows_parsed != 2)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Activity File Errors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "228 \t Failed to access remote file: access denied. Please check your credentials\n",
      "572 \t Timestamp 'datetime value' is not recognized\n",
      "53 \t Number of columns in file (4) does not match that of the corresponding table (28), use file format option error_on_column_count_mismatch=false to ignore this error\n"
     ]
    }
   ],
   "source": [
    "import collections\n",
    "import re\n",
    "\n",
    "counter = collections.Counter()\n",
    "for v in df[(df.status == 'LOAD_FAILED') & (df.report_type == 'Activity')&(df.date >= report_start_date)]['first_error']:\n",
    "#     print(v)\n",
    "    message = re.sub(r'\\d{8}T\\d{2}:\\d{2}:\\d{2}', 'datetime value', v)\n",
    "    counter[message] += 1\n",
    "for message, c in counter.items():\n",
    "    print(c, '\\t', message)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\n",
    "    (df.status == 'LOAD_FAILED') & \n",
    "    (df.report_type == 'Activity') &\n",
    "    (df.date >= report_start_date) &\n",
    "    (df.first_error.str.contains('Number of columns'))\n",
    "].sort_values(by=['date', 'org', 'country'])['file']#.to_csv('amu_empty_activity.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "user_df = df[\n",
    "    (df.status == 'LOAD_FAILED') & \n",
    "    (df.report_type == 'User') & \n",
    "    (df.date >= report_start_date)\n",
    "][['date', 'org', 'country']].sort_values(by=['date', 'org', 'country'])\n",
    "activity_df = df[\n",
    "    (df.status == 'LOAD_FAILED') & \n",
    "    (df.report_type == 'Activity') &\n",
    "    (df.date >= report_start_date) &\n",
    "    (df.first_error.str.contains('Number of columns'))\n",
    "][['date', 'org', 'country']].sort_values(by=['date', 'org', 'country'])\n",
    "\n",
    "pd.concat([user_df, activity_df]).drop_duplicates(keep=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\n",
    "    (df.status == 'LOAD_FAILED') & \n",
    "    (df.report_type == 'Activity') &\n",
    "    (df.date >= report_start_date) &\n",
    "    (df.first_error.str.contains('Timestamp'))\n",
    "][['date', 'country', 'org',  'file']] \\\n",
    ".sort_values(by=['date', 'org', 'country']) \\\n",
    "[['date', 'country']]    \\\n",
    ".groupby(['date']) \\\n",
    "    .agg({\n",
    "        'country': lambda x: set(x)\n",
    "    })\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[(\n",
    "    df.status == 'LOAD_FAILED') & \n",
    "    (df.report_type == 'Playlist') &\n",
    "    (df.date >= report_start_date)\n",
    "]['file']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[(\n",
    "    df.status == 'PARTIALLY_LOADED') & \n",
    "    (df.report_type == 'Playlist') &\n",
    "    (df.date >= report_start_date)\n",
    "]['file']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_s3_key(s3_key, limit=0):\n",
    "    with smart_open(s3_key, 'rb') as fin:\n",
    "        i = 0\n",
    "        for line in fin:\n",
    "            i += 1\n",
    "            row = line.decode('utf8').split('\\t')\n",
    "            print(len(row), '\\t', row)\n",
    "            if i == limit:\n",
    "                break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print_s3_key(\n",
    "    's3://cucumbers/AmazonUnlimited/archives/2019-01-01/clean/ORCA_AT_20190101_Daily_Playlist_Report.txt.gz',\n",
    "    10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print_s3_key(\n",
    "    's3://cucumbers/AmazonUnlimited/archives/2019-01-01/clean/ORCA_US_20190101_Daily_Playlist_Report.txt.gz',\n",
    "    10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "datetime.strptime('20190325T23:42:35', '%Y%m%dT%H:%M:%S').strftime('%Y%m%dT%H:%M:%S.%fZ')"
   ]
  }
 ],
 "metadata": {
  "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": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}