{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "nb_dir = os.path.split(os.getcwd())[0]\n",
    "if nb_dir not in sys.path:\n",
    "    sys.path.append(nb_dir)\n",
    "    \n",
    "from features.communication import *\n",
    "import participants.query_db\n",
    "\n",
    "participants_inactive_usernames = participants.query_db.get_usernames()\n",
    "df_sms = get_sms_data(participants_inactive_usernames)\n",
    "df_calls = get_call_data(participants_inactive_usernames)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "        id  _id      timestamp                             device_id  \\\n",
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       "4      253    6  1582627576077  78082f9f-98c2-468d-b4a2-7c835bd812bd   \n",
       "...    ...  ...            ...                                   ...   \n",
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       "4331  5364   26  1620630328635  9f54e35c-d7cb-4f4c-8dc1-17dc86f2635e   \n",
       "\n",
       "      call_type  call_duration                                     trace  \\\n",
       "0             2              0  87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b   \n",
       "1             1            196  87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b   \n",
       "2             2            237  87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b   \n",
       "3             2            126  87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b   \n",
       "4             2            255  87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b   \n",
       "...         ...            ...                                       ...   \n",
       "4352          2              0  5eb72fe829c2af4a654007220119bdcf47499555   \n",
       "4336          2            189  6dd761532337dfe596eb2e34f4c91216b38e28e2   \n",
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       "\n",
       "      participant_id        username  freq  contact_id  total_call_duration  \\\n",
       "0                 13  uploader_20449    21           0                 2844   \n",
       "1                 13  uploader_20449    21           0                 2844   \n",
       "2                 13  uploader_20449    21           0                 2844   \n",
       "3                 13  uploader_20449    21           0                 2844   \n",
       "4                 13  uploader_20449    21           0                 2844   \n",
       "...              ...             ...   ...         ...                  ...   \n",
       "4352             107  uploader_89606     1          17                    0   \n",
       "4336             107  uploader_89606     1          18                  189   \n",
       "4316             107  uploader_89606     1          19                   85   \n",
       "4347             107  uploader_89606     1          20                  120   \n",
       "4331             107  uploader_89606     1          21                  184   \n",
       "\n",
       "      no_contacts  \n",
       "0               5  \n",
       "1               5  \n",
       "2               5  \n",
       "3               5  \n",
       "4               5  \n",
       "...           ...  \n",
       "4352           22  \n",
       "4336           22  \n",
       "4316           22  \n",
       "4347           22  \n",
       "4331           22  \n",
       "\n",
       "[4650 rows x 13 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "contact_features(enumerate_contacts(df_calls))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "      <th>5440</th>\n",
       "      <td>6742</td>\n",
       "      <td>248</td>\n",
       "      <td>1621253313544</td>\n",
       "      <td>9f54e35c-d7cb-4f4c-8dc1-17dc86f2635e</td>\n",
       "      <td>1</td>\n",
       "      <td>ffbc6a5f0f601cf2d9cdad9d3a588633e1a1967c</td>\n",
       "      <td>107</td>\n",
       "      <td>uploader_89606</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5864 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        id  _id      timestamp                             device_id  \\\n",
       "195    379    7  1582964434597  78082f9f-98c2-468d-b4a2-7c835bd812bd   \n",
       "196    380    8  1582964434974  78082f9f-98c2-468d-b4a2-7c835bd812bd   \n",
       "197    382   10  1582965988609  78082f9f-98c2-468d-b4a2-7c835bd812bd   \n",
       "198    383   11  1582965988873  78082f9f-98c2-468d-b4a2-7c835bd812bd   \n",
       "199    396   12  1582965988873  78082f9f-98c2-468d-b4a2-7c835bd812bd   \n",
       "...    ...  ...            ...                                   ...   \n",
       "5193  6137    4  1619789360665  9f54e35c-d7cb-4f4c-8dc1-17dc86f2635e   \n",
       "5194  6135    2  1619787273829  9f54e35c-d7cb-4f4c-8dc1-17dc86f2635e   \n",
       "5417  6690  210  1620980437198  9f54e35c-d7cb-4f4c-8dc1-17dc86f2635e   \n",
       "5447  6770  256  1621407668019  9f54e35c-d7cb-4f4c-8dc1-17dc86f2635e   \n",
       "5440  6742  248  1621253313544  9f54e35c-d7cb-4f4c-8dc1-17dc86f2635e   \n",
       "\n",
       "      message_type                                     trace  participant_id  \\\n",
       "195              2  417b9c87f5b573530bcffba8577777b3a964d671              13   \n",
       "196              2  417b9c87f5b573530bcffba8577777b3a964d671              13   \n",
       "197              2  417b9c87f5b573530bcffba8577777b3a964d671              13   \n",
       "198              2  417b9c87f5b573530bcffba8577777b3a964d671              13   \n",
       "199              2  417b9c87f5b573530bcffba8577777b3a964d671              13   \n",
       "...            ...                                       ...             ...   \n",
       "5193             2  2340c1d2b9e5d550373423a599014468a4dc3678             107   \n",
       "5194             1  2340c1d2b9e5d550373423a599014468a4dc3678             107   \n",
       "5417             1  198d7e63a2b4d8a7ca9bb92f74e6974ca17edc56             107   \n",
       "5447             1  d4a67b53e704247de47064850efd3647e8dcaffb             107   \n",
       "5440             1  ffbc6a5f0f601cf2d9cdad9d3a588633e1a1967c             107   \n",
       "\n",
       "            username  freq  contact_id  no_contacts  \n",
       "195   uploader_20449     5           0            6  \n",
       "196   uploader_20449     5           0            6  \n",
       "197   uploader_20449     5           0            6  \n",
       "198   uploader_20449     5           0            6  \n",
       "199   uploader_20449     5           0            6  \n",
       "...              ...   ...         ...          ...  \n",
       "5193  uploader_89606     3          12           16  \n",
       "5194  uploader_89606     3          12           16  \n",
       "5417  uploader_89606     1          13           16  \n",
       "5447  uploader_89606     1          14           16  \n",
       "5440  uploader_89606     1          15           16  \n",
       "\n",
       "[5864 rows x 11 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "contact_features(enumerate_contacts(df_sms))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>participant_id</th>\n",
       "      <th>no_calls_no_sms_ratio</th>\n",
       "      <th>no_incoming_calls_no_recieved_sms_ratio</th>\n",
       "      <th>no_outgoing_calls_no_sent_sms_ratio</th>\n",
       "      <th>no_calls_contacts_no_sms_contacts_ratio</th>\n",
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       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>13</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.454545</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>14</td>\n",
       "      <td>0.590361</td>\n",
       "      <td>0.555556</td>\n",
       "      <td>0.611111</td>\n",
       "      <td>0.714286</td>\n",
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       "      <th>2</th>\n",
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       "      <td>0.033113</td>\n",
       "      <td>0.960526</td>\n",
       "      <td>0.026667</td>\n",
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       "      <th>3</th>\n",
       "      <td>16</td>\n",
       "      <td>0.565217</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.666667</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17</td>\n",
       "      <td>0.916667</td>\n",
       "      <td>0.259259</td>\n",
       "      <td>0.983607</td>\n",
       "      <td>0.857143</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>91</td>\n",
       "      <td>0.196203</td>\n",
       "      <td>0.846939</td>\n",
       "      <td>0.228070</td>\n",
       "      <td>0.666667</td>\n",
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       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>92</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.600000</td>\n",
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       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>93</td>\n",
       "      <td>0.432203</td>\n",
       "      <td>0.685714</td>\n",
       "      <td>0.512821</td>\n",
       "      <td>0.428571</td>\n",
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       "      <th>59</th>\n",
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       "      <td>0.705882</td>\n",
       "      <td>0.454545</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.769231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>107</td>\n",
       "      <td>0.204969</td>\n",
       "      <td>0.879121</td>\n",
       "      <td>0.192661</td>\n",
       "      <td>0.578947</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>61 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    participant_id  no_calls_no_sms_ratio  \\\n",
       "0               13               0.650000   \n",
       "1               14               0.590361   \n",
       "2               15               0.033113   \n",
       "3               16               0.565217   \n",
       "4               17               0.916667   \n",
       "..             ...                    ...   \n",
       "56              91               0.196203   \n",
       "57              92               0.444444   \n",
       "58              93               0.432203   \n",
       "59             106               0.705882   \n",
       "60             107               0.204969   \n",
       "\n",
       "    no_incoming_calls_no_recieved_sms_ratio  \\\n",
       "0                                  0.700000   \n",
       "1                                  0.555556   \n",
       "2                                  0.960526   \n",
       "3                                  0.666667   \n",
       "4                                  0.259259   \n",
       "..                                      ...   \n",
       "56                                 0.846939   \n",
       "57                                 0.571429   \n",
       "58                                 0.685714   \n",
       "59                                 0.454545   \n",
       "60                                 0.879121   \n",
       "\n",
       "    no_outgoing_calls_no_sent_sms_ratio  \\\n",
       "0                              0.750000   \n",
       "1                              0.611111   \n",
       "2                              0.026667   \n",
       "3                              0.750000   \n",
       "4                              0.983607   \n",
       "..                                  ...   \n",
       "56                             0.228070   \n",
       "57                             0.400000   \n",
       "58                             0.512821   \n",
       "59                             0.750000   \n",
       "60                             0.192661   \n",
       "\n",
       "    no_calls_contacts_no_sms_contacts_ratio  \n",
       "0                                  0.454545  \n",
       "1                                  0.714286  \n",
       "2                                  0.173913  \n",
       "3                                  0.666667  \n",
       "4                                  0.857143  \n",
       "..                                      ...  \n",
       "56                                 0.666667  \n",
       "57                                 0.600000  \n",
       "58                                 0.428571  \n",
       "59                                 0.769231  \n",
       "60                                 0.578947  \n",
       "\n",
       "[61 rows x 5 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calls_sms_features(df_calls, df_sms)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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