testing_flask.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import requests\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AccountAge</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>SubscriptionType</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>ContentType</th>\n",
       "      <th>MultiDeviceAccess</th>\n",
       "      <th>DeviceRegistered</th>\n",
       "      <th>ViewingHoursPerWeek</th>\n",
       "      <th>AverageViewingDuration</th>\n",
       "      <th>ContentDownloadsPerMonth</th>\n",
       "      <th>GenrePreference</th>\n",
       "      <th>UserRating</th>\n",
       "      <th>SupportTicketsPerMonth</th>\n",
       "      <th>Gender</th>\n",
       "      <th>WatchlistSize</th>\n",
       "      <th>ParentalControl</th>\n",
       "      <th>SubtitlesEnabled</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>38</td>\n",
       "      <td>17.869374</td>\n",
       "      <td>679.036195</td>\n",
       "      <td>Premium</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>No</td>\n",
       "      <td>TV Shows</td>\n",
       "      <td>No</td>\n",
       "      <td>TV</td>\n",
       "      <td>29.126308</td>\n",
       "      <td>122.274031</td>\n",
       "      <td>42</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>3.522724</td>\n",
       "      <td>2</td>\n",
       "      <td>Male</td>\n",
       "      <td>23</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77</td>\n",
       "      <td>9.912854</td>\n",
       "      <td>763.289768</td>\n",
       "      <td>Basic</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>Yes</td>\n",
       "      <td>TV Shows</td>\n",
       "      <td>No</td>\n",
       "      <td>TV</td>\n",
       "      <td>36.873729</td>\n",
       "      <td>57.093319</td>\n",
       "      <td>43</td>\n",
       "      <td>Action</td>\n",
       "      <td>2.021545</td>\n",
       "      <td>2</td>\n",
       "      <td>Female</td>\n",
       "      <td>22</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>15.019011</td>\n",
       "      <td>75.095057</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Bank transfer</td>\n",
       "      <td>No</td>\n",
       "      <td>TV Shows</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Computer</td>\n",
       "      <td>7.601729</td>\n",
       "      <td>140.414001</td>\n",
       "      <td>14</td>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>4.806126</td>\n",
       "      <td>2</td>\n",
       "      <td>Female</td>\n",
       "      <td>22</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>88</td>\n",
       "      <td>15.357406</td>\n",
       "      <td>1351.451692</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>No</td>\n",
       "      <td>Both</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Tablet</td>\n",
       "      <td>35.586430</td>\n",
       "      <td>177.002419</td>\n",
       "      <td>14</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>4.943900</td>\n",
       "      <td>0</td>\n",
       "      <td>Female</td>\n",
       "      <td>23</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>91</td>\n",
       "      <td>12.406033</td>\n",
       "      <td>1128.949004</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Credit card</td>\n",
       "      <td>Yes</td>\n",
       "      <td>TV Shows</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Tablet</td>\n",
       "      <td>23.503651</td>\n",
       "      <td>70.308376</td>\n",
       "      <td>6</td>\n",
       "      <td>Drama</td>\n",
       "      <td>2.846880</td>\n",
       "      <td>6</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   AccountAge  MonthlyCharges  TotalCharges SubscriptionType  \\\n",
       "0          38       17.869374    679.036195          Premium   \n",
       "1          77        9.912854    763.289768            Basic   \n",
       "2           5       15.019011     75.095057         Standard   \n",
       "3          88       15.357406   1351.451692         Standard   \n",
       "4          91       12.406033   1128.949004         Standard   \n",
       "\n",
       "      PaymentMethod PaperlessBilling ContentType MultiDeviceAccess  \\\n",
       "0      Mailed check               No    TV Shows                No   \n",
       "1  Electronic check              Yes    TV Shows                No   \n",
       "2     Bank transfer               No    TV Shows               Yes   \n",
       "3  Electronic check               No        Both               Yes   \n",
       "4       Credit card              Yes    TV Shows               Yes   \n",
       "\n",
       "  DeviceRegistered  ViewingHoursPerWeek  AverageViewingDuration  \\\n",
       "0               TV            29.126308              122.274031   \n",
       "1               TV            36.873729               57.093319   \n",
       "2         Computer             7.601729              140.414001   \n",
       "3           Tablet            35.586430              177.002419   \n",
       "4           Tablet            23.503651               70.308376   \n",
       "\n",
       "   ContentDownloadsPerMonth GenrePreference  UserRating  \\\n",
       "0                        42          Comedy    3.522724   \n",
       "1                        43          Action    2.021545   \n",
       "2                        14          Sci-Fi    4.806126   \n",
       "3                        14          Comedy    4.943900   \n",
       "4                         6           Drama    2.846880   \n",
       "\n",
       "   SupportTicketsPerMonth  Gender  WatchlistSize ParentalControl  \\\n",
       "0                       2    Male             23              No   \n",
       "1                       2  Female             22             Yes   \n",
       "2                       2  Female             22              No   \n",
       "3                       0  Female             23             Yes   \n",
       "4                       6  Female              0              No   \n",
       "\n",
       "  SubtitlesEnabled  \n",
       "0               No  \n",
       "1               No  \n",
       "2              Yes  \n",
       "3              Yes  \n",
       "4               No  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test = pd.read_csv(\"data/test.csv\")\n",
    "\n",
    "test.drop(columns=['CustomerID'], inplace=True)\n",
    "test.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         {\"AccountAge\":38,\"MonthlyCharges\":17.869373540...\n",
       "1         {\"AccountAge\":77,\"MonthlyCharges\":9.9128541321...\n",
       "2         {\"AccountAge\":5,\"MonthlyCharges\":15.0190113186...\n",
       "3         {\"AccountAge\":88,\"MonthlyCharges\":15.357405588...\n",
       "4         {\"AccountAge\":91,\"MonthlyCharges\":12.40603301,...\n",
       "                                ...                        \n",
       "104475    {\"AccountAge\":80,\"MonthlyCharges\":17.348235910...\n",
       "104476    {\"AccountAge\":20,\"MonthlyCharges\":8.2754590067...\n",
       "104477    {\"AccountAge\":106,\"MonthlyCharges\":18.13434306...\n",
       "104478    {\"AccountAge\":46,\"MonthlyCharges\":19.774009872...\n",
       "104479    {\"AccountAge\":110,\"MonthlyCharges\":7.438385445...\n",
       "Name: json, Length: 104480, dtype: object"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test['json'] = test.to_json(orient='records', lines=True).splitlines()\n",
    "test['json']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "customer = json.loads(test['json'][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Churn probability': 0.4566885232925415}"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = \"http://127.0.0.1:9696/predict\"\n",
    "requests.post(url, json=customer).json()"
   ]
  }
 ],
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