{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os, sys\n",
    "nb_dir = os.path.split(os.getcwd())[0]\n",
    "if nb_dir not in sys.path:\n",
    "    sys.path.append(nb_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from features.screen import *\n",
    "import participants.query_db"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_screen_nokia = get_screen_data([\"nokia_0000003\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          id  _id      timestamp                             device_id  \\\n",
      "0     245456  155  1615456297079  12324354-e195-4e93-a2d5-268556e3ea5d   \n",
      "1     245455  154  1615456297069  12324354-e195-4e93-a2d5-268556e3ea5d   \n",
      "2     245454  153  1615456288219  12324354-e195-4e93-a2d5-268556e3ea5d   \n",
      "3     245453  152  1615455357213  12324354-e195-4e93-a2d5-268556e3ea5d   \n",
      "4     245452  151  1615455357190  12324354-e195-4e93-a2d5-268556e3ea5d   \n",
      "...      ...  ...            ...                                   ...   \n",
      "1911   33221    5  1583329949659  d5fb52e1-7df8-44b5-a805-8d04ca008061   \n",
      "1912   33171    4  1583327341863  d5fb52e1-7df8-44b5-a805-8d04ca008061   \n",
      "1913   33170    3  1583327340983  d5fb52e1-7df8-44b5-a805-8d04ca008061   \n",
      "1914   33169    2  1583327340739  d5fb52e1-7df8-44b5-a805-8d04ca008061   \n",
      "1915   33168    1  1583327340713  d5fb52e1-7df8-44b5-a805-8d04ca008061   \n",
      "\n",
      "      screen_status  participant_id       username  \n",
      "0                 2              21  nokia_0000003  \n",
      "1                 0              21  nokia_0000003  \n",
      "2                 1              21  nokia_0000003  \n",
      "3                 2              21  nokia_0000003  \n",
      "4                 0              21  nokia_0000003  \n",
      "...             ...             ...            ...  \n",
      "1911              3              21  nokia_0000003  \n",
      "1912              3              21  nokia_0000003  \n",
      "1913              1              21  nokia_0000003  \n",
      "1914              2              21  nokia_0000003  \n",
      "1915              0              21  nokia_0000003  \n",
      "\n",
      "[1916 rows x 7 columns]\n"
     ]
    }
   ],
   "source": [
    "print(df_screen_nokia)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "participants_inactive_usernames = participants.query_db.get_usernames()\n",
    "df_screen_inactive = get_screen_data(participants_inactive_usernames)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "screen_status\n",
       "0    70243\n",
       "1    70012\n",
       "2    63080\n",
       "3    36666\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_screen_inactive.value_counts(\"screen_status\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "straw2analysis",
   "language": "python",
   "name": "straw2analysis"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
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 },
 "nbformat": 4,
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}