BP2024/preprocessing/dataProcessing.ipynb

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 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "3e42b2f9-aef4-4727-bd1b-126ac70975dd",
   "metadata": {},
   "source": [
    "# Data processing\n",
    "This notebook implements dataset changes and modifications such as\n",
    "- Data cleaning (null and empty string values)\n",
    "- GDPR protection\n",
    "- merge data\n",
    "- data analysis\n",
    "\n",
    "It basically prepares dataset for anotation using prodi.gy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "556ce1b6-fd72-4a57-a3a1-1cfc2d2432f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# imports\n",
    "\n",
    "import json\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "from print_dict import pd"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "b73bf010-f549-4ed7-aab5-460acf12c36c",
   "metadata": {},
   "source": [
    "#### variable declaration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "9ca195f9-b638-4063-af10-406a8f6efad2",
   "metadata": {},
   "outputs": [],
   "source": [
    "basePath = 'Facebook/outputs/parts'\n",
    "nameDict= {}\n",
    "finalData= []"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "00011939-93c3-41d5-ae22-ce9f7ee77705",
   "metadata": {},
   "source": [
    "## Opening parts of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "bb84d441-699d-4948-96cc-0b20f2dee412",
   "metadata": {},
   "outputs": [],
   "source": [
    "def openJson(filename):\n",
    "    with open(os.path.join(os.getcwd(), basePath, filename)) as json_file:\n",
    "        return json.load(json_file)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "130372a3-2397-4721-9537-2a503ccfd9ce",
   "metadata": {},
   "source": [
    "### Politicians"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "52d3b818-c0c2-4879-9f99-f785c6f5cadc",
   "metadata": {},
   "outputs": [],
   "source": [
    "robertFico= openJson(\"robert_fico_data.json\")\n",
    "igorMatovic= openJson(\"igor_matovic_data.json\")\n",
    "erikKalinak= openJson(\"erik_kaliňák_data.json\")\n",
    "zuzanaCaputova= openJson(\"zuzana_čaputová_data.json\")\n",
    "marianKotleba= openJson(\"marian_kotleba_data.json\")\n",
    "\n",
    "politicianNames = ['Robert Fico', 'Igor Matovic', 'Erik Kalinak', 'Zuzana Caputova', 'Marian Kotleba']"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "f15e1f1e-0d76-4e90-ba5e-0754a45d449f",
   "metadata": {},
   "source": [
    "### Memes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "1e2e0dbb-a17a-407b-b8a2-1476a9d6cad1",
   "metadata": {},
   "outputs": [],
   "source": [
    "zomri= openJson(\"zomri_data.json\")\n",
    "emefka= openJson(\"emefka_data.json\")\n",
    "okAleIdesPrvy= openJson(\"ok,ale_ideš_prvý_:d_data.json\")\n",
    "\n",
    "memeNames= ['Zomri', 'Emefka', 'OkAleIdesPrvy']"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "b56544ac-3c0d-438b-8632-296703bf6ef6",
   "metadata": {},
   "source": [
    "### Media"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "6a8dfa3c-ab65-4d0e-9868-e5400eda7906",
   "metadata": {},
   "outputs": [],
   "source": [
    "eva= openJson(\"eva_-_hriešne_dobrá_data.json\")\n",
    "aktuality= openJson(\"aktuality_data.json\")\n",
    "dennikN= openJson(\"denník_n_data.json\")\n",
    "tvJOJ= openJson(\"televízia_joj_data.json\")\n",
    "\n",
    "mediaNames= ['Eva', 'Aktuality', 'DennikN', 'tvJOJ']"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "23fc715c-d2f0-4e48-be9f-e0adea43e987",
   "metadata": {},
   "source": [
    "### Famous people"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "8ff4a0fc-d87b-4484-80e6-0651d772a5c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "peterMarcin= openJson(\"peter_marcin_data.json\")\n",
    "sajfa= openJson(\"sajfa_data.json\")\n",
    "janKolenik= openJson(\"ján_koleník_data.json\")\n",
    "\n",
    "famousNames = ['Peter Marcin', 'Sajfa', 'Jan Kolenik']"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "c21fc6d6-2f8c-4cd1-b0ad-746cffbe008b",
   "metadata": {},
   "source": [
    "### Sports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "3df20d49-08d3-49b2-a512-c3a55eb1a38b",
   "metadata": {},
   "outputs": [],
   "source": [
    "sport24= openJson(\"šport24_data.json\")\n",
    "dominikaCibulkova= openJson(\"dominika_cibulkova_data.json\")\n",
    "hetrik= openJson(\"hetrik_data.json\")\n",
    "RTVSsport= openJson(\"šport_v_rtvs_data.json\")\n",
    "\n",
    "sportsNames= ['Sport24', 'Dominika Cibulkova', 'Hetrik', 'RTVSsport']"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "d929dd8d-43ab-465e-8b2a-62732aa56217",
   "metadata": {},
   "source": [
    "## Dataset peek"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "c209e264-4c40-4f1c-b1de-c1b71969d717",
   "metadata": {},
   "source": [
    "Sample of the dataset might look like this:\n",
    "\n",
    "    [\n",
    "        {\n",
    "            'publisher': Post author,\n",
    "            'title': Text that autor published as a post,\n",
    "            'post_reactions': Number of interactions with a post,\n",
    "            'comments': [\n",
    "                {\n",
    "                    'publisher': Comment author,\n",
    "                    'text': Comment's content,\n",
    "                    'replies': [\n",
    "                        {\n",
    "                            'publisher': Reply author,\n",
    "                            'text': Reply's content,\n",
    "                            'replies': [\n",
    "                                {\n",
    "                                    'publisher': Second reply author,\n",
    "                                    'text': Second reply's content\n",
    "                                }\n",
    "                            ]\n",
    "                        }\n",
    "                    ]\n",
    "                }\n",
    "            ]\n",
    "        }\n",
    "    ]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "ea82f129-37f3-4e38-8729-54c2b7526557",
   "metadata": {},
   "source": [
    "## Data recordings retrieval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "4eb2d369-df75-47bc-83f2-5759793a5edd",
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNumOfRecords(dictObj):\n",
    "    count= 0\n",
    "    for post in dictObj:\n",
    "        count+= 1\n",
    "        for comment in post['comments']:\n",
    "            count+= 1\n",
    "            for reply in comment['replies']:\n",
    "                count+= 1\n",
    "                for sec_reply in reply['replies']:\n",
    "                    count+= 1\n",
    "    return count"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "9cd23b0e-8933-4d0d-9242-bab8a89e1fe1",
   "metadata": {},
   "source": [
    "## Junk data cleaning"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "fcaf221b-1128-41a8-a0f4-135fd6b6df8f",
   "metadata": {},
   "source": [
    "This part of the code iterates through whole dataset and delete NULL or \"\" values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "364f6cdb-64d7-40ea-bcc9-b2b7a2ac8dd5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def cleanData(dictObj):\n",
    "    i = 0\n",
    "    for post_idx, post in enumerate(dictObj):\n",
    "        for comment_idx, comment in enumerate(post['comments']):\n",
    "            try:\n",
    "                if comment['text'] == '' or comment['text'] is None:\n",
    "                    dictObj[post_idx]['comments'].remove(comment)\n",
    "                    i += 1\n",
    "            except:\n",
    "                pass\n",
    "            for reply_idx, reply in enumerate(comment['replies']):\n",
    "                try:\n",
    "                    if reply['text'] == '' or reply['text'] is None:\n",
    "                        dictObj[post_idx]['comments'][comment_idx]['replies'].remove(reply)\n",
    "                        i += 1\n",
    "                except:\n",
    "                    pass\n",
    "                for sec_reply_idx, sec_reply in enumerate(reply['replies']):\n",
    "                    try:\n",
    "                        if sec_reply['text'] == '' or sec_reply['text'] is None:\n",
    "                            dictObj[post_idx]['comments'][comment_idx]['replies'][reply_idx]['replies'].remove(sec_reply)\n",
    "                            i += 1\n",
    "                    except:\n",
    "                        pass\n",
    "    return dictObj, i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "327576e2-55b4-439a-af6c-0364a4a7f3ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "def cleanEntireData(dictObj):\n",
    "    recordsDeleted= 0\n",
    "    temp, i= cleanData(dictObj)\n",
    "    recordsDeleted += i\n",
    "    while i:\n",
    "        temp, i= cleanData(dictObj)\n",
    "        recordsDeleted += i\n",
    "    return temp"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "5fc31f16-6b15-48e0-bd0f-2761bf793d26",
   "metadata": {},
   "source": [
    "## Data preparation for visualisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "242e2673-216b-42de-9c9d-137aa1b975f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "categories= politicianNames + memeNames + mediaNames + sportsNames + famousNames\n",
    "values= [\n",
    "    getNumOfRecords(cleanEntireData(robertFico)),  # politics topppic\n",
    "    getNumOfRecords(cleanEntireData(igorMatovic)),\n",
    "    getNumOfRecords(cleanEntireData(erikKalinak)),\n",
    "    getNumOfRecords(cleanEntireData(zuzanaCaputova)),\n",
    "    getNumOfRecords(cleanEntireData(marianKotleba)),\n",
    "\n",
    "    getNumOfRecords(cleanEntireData(zomri)),  # meme toppic\n",
    "    getNumOfRecords(cleanEntireData(emefka)),\n",
    "    getNumOfRecords(cleanEntireData(okAleIdesPrvy)),\n",
    "\n",
    "    getNumOfRecords(cleanEntireData(eva)),  # media toppic\n",
    "    getNumOfRecords(cleanEntireData(aktuality)),\n",
    "    getNumOfRecords(cleanEntireData(dennikN)),\n",
    "    getNumOfRecords(cleanEntireData(tvJOJ)),\n",
    "\n",
    "    getNumOfRecords(cleanEntireData(sport24)),  # sports toppic\n",
    "    getNumOfRecords(cleanEntireData(dominikaCibulkova)),\n",
    "    getNumOfRecords(cleanEntireData(hetrik)),\n",
    "    getNumOfRecords(cleanEntireData(RTVSsport)),\n",
    "\n",
    "    getNumOfRecords(cleanEntireData(peterMarcin)), # famous people toppic\n",
    "    getNumOfRecords(cleanEntireData(sajfa)),\n",
    "    getNumOfRecords(cleanEntireData(janKolenik))\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "c014ec40-db05-4ce4-802e-fe5c84c3f123",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Zoradenie hodnôt a zarovnanie poľa\n",
    "zoradene = sorted(zip(values, categories))\n",
    "\n",
    "# Rozdelenie zoradených hodnôt na nové polia\n",
    "sortedValues, sortedCategories = zip(*zoradene)\n",
    "\n",
    "\n",
    "plt.barh(sortedCategories, sortedValues, color= '#6b5b95')\n",
    "plt.style.use('fivethirtyeight')\n",
    "# Přidání popisků\n",
    "plt.xlabel('Pocet zaznamov')\n",
    "plt.ylabel('Facebookove profily')\n",
    "\n",
    "plt.title('Vizualizacia poctu nascrapovanych zaznamov')\n",
    "\n",
    "# # Zobrazení grafu\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "a5db69e8-1056-40ee-abe9-419e4382d508",
   "metadata": {},
   "outputs": [],
   "source": [
    "politiciansTotalRecords= sum(values[:5])\n",
    "memeTotalRedcords= sum(values[5:8])\n",
    "mediaTotalRecords= sum(values[8:12])\n",
    "sportsTotalRecords= sum(values[12:16])\n",
    "famousTotalRecords= sum(values[16:20])\n",
    "totalRecords= sum(values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "abc5189f-a90f-4b9d-9471-f6febcb02e12",
   "metadata": {},
   "outputs": [],
   "source": [
    "def showPie(title, records):\n",
    "    plt.pie(records,\n",
    "\n",
    "        labels=[\n",
    "               'Politician',\n",
    "               'Meme',\n",
    "               'Media',\n",
    "               'Sports',\n",
    "                'Famous people'\n",
    "           ],\n",
    "        wedgeprops={\n",
    "         'edgecolor': 'black'   \n",
    "        },\n",
    "        colors=[\n",
    "            \"#ffb400\", \n",
    "            \"#d2980d\", \n",
    "            \"#a57c1b\", \n",
    "            \"#786028\",\n",
    "            \"#724545\"\n",
    "        ],\n",
    "        autopct='%1.1f%%'\n",
    "           )\n",
    "    plt.title(title)\n",
    "    plt.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "dc171573-3bd5-49cb-a22b-9c221a0dca52",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scrapedToppicRatio= [\n",
    "        politiciansTotalRecords,\n",
    "        memeTotalRedcords,\n",
    "        mediaTotalRecords,\n",
    "        sportsTotalRecords,\n",
    "        famousTotalRecords\n",
    "    ]\n",
    "\n",
    "showPie('Pomer poctu zaznamov nascrapovanych kategorii', scrapedToppicRatio)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "823b6688-cd25-4af4-9e80-2d9834bb9147",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Total number of scraped records is 378677.'"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f\"Total number of scraped records is {totalRecords}.\""
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "0d5dbe9c-c26d-4928-8d6e-9c77c43c7224",
   "metadata": {},
   "source": [
    "## Dataset merge"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "68d9d3f9-4716-4711-9568-d0db1b04a58b",
   "metadata": {},
   "source": [
    "### meme toppic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "26cbe373-0808-4332-8492-bbdb597a7584",
   "metadata": {},
   "outputs": [],
   "source": [
    "memesFinal = []\n",
    "\n",
    "memesFinal= zomri.copy()\n",
    "memesFinal.extend(emefka)\n",
    "\n",
    "finalMemeRecords= getNumOfRecords(memesFinal)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "7d8f11e6-b146-4744-848d-aa594a7e65ee",
   "metadata": {},
   "source": [
    "### media toppic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "1f9eb3c1-a035-4d89-8745-81e93ee92bdb",
   "metadata": {},
   "outputs": [],
   "source": [
    "mediaFinal = []\n",
    "\n",
    "mediaFinal= aktuality.copy()\n",
    "mediaFinal.extend(dennikN)\n",
    "mediaFinal.extend(eva[1:])\n",
    "mediaFinal.extend(tvJOJ)\n",
    "\n",
    "finalMediaRecords= getNumOfRecords(mediaFinal)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "5c15265d-0c9a-4c9c-a88b-7a2ca54f1201",
   "metadata": {},
   "source": [
    "### sports toppic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "369d3221-156f-4a0b-81c2-61b652d3a6fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "sportsFinal= []\n",
    "\n",
    "sportsFinal= dominikaCibulkova.copy()\n",
    "sportsFinal.extend(RTVSsport)\n",
    "sportsFinal.extend(sport24)\n",
    "sportsFinal.extend(hetrik)\n",
    "\n",
    "finalSportsRecords= getNumOfRecords(sportsFinal)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "e1db48f6-3f7c-4869-b7df-349777ba0e67",
   "metadata": {},
   "source": [
    "### famous people toppic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "f6e0d3c7-9f64-4c0b-964d-69dd1af9a518",
   "metadata": {},
   "outputs": [],
   "source": [
    "famousFinal= []\n",
    "\n",
    "famousFinal= peterMarcin.copy()\n",
    "famousFinal.extend(janKolenik)\n",
    "famousFinal.extend(sajfa)\n",
    "\n",
    "finalFamousRecords= getNumOfRecords(famousFinal)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "338d94c5-de92-4998-a63d-caf8a5956f98",
   "metadata": {},
   "source": [
    "### politics toppic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "f885b47a-b5a0-4792-8730-ca213da5262a",
   "metadata": {},
   "outputs": [],
   "source": [
    "politicsFinal= []\n",
    "\n",
    "politicsFinal= marianKotleba.copy()\n",
    "politicsFinal.extend(zuzanaCaputova)\n",
    "politicsFinal.extend(erikKalinak[:25])\n",
    "politicsFinal.extend(igorMatovic)\n",
    "politicsFinal.extend(robertFico[:40])\n",
    "\n",
    "finalPoliticsRecords= getNumOfRecords(politicsFinal)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "f5cf9d40-1828-407c-9cb3-5110b8d1fc83",
   "metadata": {},
   "source": [
    "### Merge data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "24659f5b-834d-4c71-9197-6a4f6356c032",
   "metadata": {},
   "outputs": [],
   "source": [
    "finalData = famousFinal.copy()\n",
    "finalData.extend(politicsFinal)\n",
    "finalData.extend(mediaFinal)\n",
    "finalData.extend(memesFinal)\n",
    "finalData.extend(sportsFinal)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "56b3b771-cf66-4617-b9be-06c42fb5aa41",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1736"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(finalData)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "de6674b2-cd3b-4457-a727-d752337a83a8",
   "metadata": {},
   "source": [
    "## Dataset toppic ratio visualisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "7ca4acec-ae51-4f6f-9187-344759fd7e9f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "finalDatasetToppicRatio = [\n",
    "    finalPoliticsRecords,\n",
    "    finalMemeRecords,\n",
    "    finalMediaRecords,\n",
    "    finalSportsRecords,\n",
    "    finalFamousRecords\n",
    "]\n",
    "showPie(\"Pomer tem vyskytujucich sa vo finalnej verzii datasetu\", finalDatasetToppicRatio)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "7142c3e9-f14c-4514-b660-429a5f163abb",
   "metadata": {},
   "source": [
    "## GDPR protection"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "4c47e04a-1aef-4201-9f97-71d0851d01e6",
   "metadata": {},
   "source": [
    "Down there is an implementation of anonymizing data, rename all names from format \"Jozko Mrkvicka\" to \"user1\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "b88bbe75-9984-4389-9e72-fbe1d27401fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "def protectGDPR(dictObj):\n",
    "    usr_idx = 1\n",
    "    for post_idx, post in enumerate(dictObj):\n",
    "        if post['publisher'] not in nameDict:\n",
    "            nameDict[post['publisher']] = f'<user{usr_idx}>'\n",
    "            usr_idx+= 1\n",
    "        if post['publisher'] in nameDict:\n",
    "            dictObj[post_idx]['publisher'] = nameDict[post['publisher']]\n",
    "        for comment_idx, comment in enumerate(post['comments']):\n",
    "            if comment['publisher'] not in nameDict:\n",
    "                nameDict[comment['publisher']] = f'<user{usr_idx}>'\n",
    "                usr_idx+= 1\n",
    "            if comment['publisher'] in nameDict:\n",
    "                dictObj[post_idx]['comments'][comment_idx]['publisher'] = nameDict[comment['publisher']]\n",
    "            \n",
    "            for item, value in nameDict.items():\n",
    "                comment['text'] = comment['text'].replace(item, value)\n",
    "            \n",
    "            for reply_idx, reply in enumerate(comment['replies']):\n",
    "                if reply['publisher'] not in nameDict:\n",
    "                    nameDict[reply['publisher']] = f'<user{usr_idx}>'\n",
    "                    usr_idx+= 1\n",
    "                if reply['publisher'] in nameDict:\n",
    "                    dictObj[post_idx]['comments'][comment_idx]['replies'][reply_idx]['publisher'] = nameDict[reply['publisher']]\n",
    "                \n",
    "                for item, value in nameDict.items():\n",
    "                    reply['text'] = reply['text'].replace(item, value)\n",
    "                \n",
    "                for sec_reply_idx, sec_reply in enumerate(reply['replies']):\n",
    "                    if sec_reply['publisher'] not in nameDict:\n",
    "                        nameDict[sec_reply['publisher']] = f'<user{usr_idx}>'\n",
    "                        usr_idx+= 1\n",
    "                    if sec_reply['publisher'] in nameDict:\n",
    "                        dictObj[post_idx]['comments'][comment_idx]['replies'][reply_idx]['replies'][sec_reply_idx]['publisher'] = nameDict[sec_reply['publisher']]\n",
    "                    for item, value in nameDict.items():\n",
    "                        sec_reply['text'] = sec_reply['text'].replace(item, value)\n",
    "    \n",
    "    return dictObj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "5cfaf396-98c0-4755-8181-dc54d775b8b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "finalData= protectGDPR(finalData)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "409020dd-ec65-4219-a90b-eeae1c717c83",
   "metadata": {},
   "source": [
    "## Delete blank mentions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "ea84ff84-dcc5-4135-9e2c-4222c8a5d7df",
   "metadata": {},
   "outputs": [],
   "source": [
    "def deleteMentions(dictObj):\n",
    "    for post_idx, post in enumerate(dictObj):\n",
    "        for comment_idx, comment in enumerate(post['comments']):\n",
    "            try:\n",
    "                if len(comment['text'].split()) == 1 and 'user' in comment['text']:\n",
    "                    dictObj[post_idx]['comments'].remove(comment)\n",
    "            except:\n",
    "                pass\n",
    "            for reply_idx, reply in enumerate(comment['replies']):\n",
    "                try:\n",
    "                    if len(reply['text'].split()) == 1 and 'user' in reply['text']:\n",
    "                        dictObj[post_idx]['comments'][comment_idx]['replies'].remove(reply)\n",
    "                except:\n",
    "                    pass\n",
    "                for sec_reply_idx, sec_reply in enumerate(reply['replies']):\n",
    "                    try:\n",
    "                        if len(sec_reply['text'].split()) == 1 and 'user' in sec_reply['text']:\n",
    "                            dictObj[post_idx]['comments'][comment_idx]['replies'][reply_idx]['replies'].remove(sec_reply)\n",
    "                    except:\n",
    "                        pass\n",
    "    return dictObj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "32472e54-6011-4ed7-bcbc-0bdba604797d",
   "metadata": {},
   "outputs": [],
   "source": [
    "finalDataset= deleteMentions(finalData)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "63e895ab-a12e-4142-add9-704cfbb5df29",
   "metadata": {},
   "source": [
    "## Final dataset version peek"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "acb06643-0b78-4ce8-b2e4-18d19dcde4f8",
   "metadata": {},
   "source": [
    "Final structure of the dataset might look like this:\n",
    "\n",
    "    [\n",
    "        {\n",
    "            'post_author': Post author,\n",
    "            'title': Text that autor published as a post,\n",
    "            'post_reactions': Number of interactions with a post,\n",
    "            'sentiment': 1,\n",
    "            'hateful': 0,\n",
    "            'comments': [\n",
    "                {\n",
    "                    'comment_author': Comment author,\n",
    "                    'text': Comment's content,\n",
    "                    'sentiment': 1,\n",
    "                    'hateful': 0,\n",
    "                    'replies': [\n",
    "                        {\n",
    "                            'reply_author': Reply author,\n",
    "                            'text': Reply's content,\n",
    "                            'sentiment': 1,\n",
    "                            'hateful': 0,\n",
    "                            'replies': [\n",
    "                                {\n",
    "                                    'second_reply_author': Second reply author,\n",
    "                                    'text': Second reply's content,\n",
    "                                    'sentiment': 1,\n",
    "                                    'hateful': 0\n",
    "                                }\n",
    "                            ]\n",
    "                        }\n",
    "                    ]\n",
    "                }\n",
    "            ]\n",
    "        }\n",
    "    ]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "23805d2c",
   "metadata": {},
   "source": [
    "## Rename Label Fields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "e613fbd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "renamed_dataset = []\n",
    "id = 1\n",
    "for idx, post in enumerate(finalDataset):\n",
    "    renamed_dataset.append({\n",
    "        'id': id,\n",
    "        'post_author': post['publisher'],\n",
    "        'title': post['title'],\n",
    "        'post_reactions': post['post_reactions'],\n",
    "        'comments': []\n",
    "    })\n",
    "    id += 1\n",
    "    for cmnt_idx, comment in enumerate(post['comments']):\n",
    "        try:\n",
    "            renamed_dataset[idx]['comments'].append({\n",
    "                'id': id,\n",
    "                'comment_author': comment['publisher'],\n",
    "                'text': comment['text'],\n",
    "                'replies': []\n",
    "            })\n",
    "            id += 1\n",
    "        except KeyError as err:\n",
    "            pass\n",
    "\n",
    "        try:\n",
    "            if len(comment['replies']):\n",
    "                for repl_idx, reply in enumerate(comment['replies']):\n",
    "                    renamed_dataset[idx]['comments'][cmnt_idx]['replies'].append({\n",
    "                        'id': id,\n",
    "                        'reply_author': reply['publisher'],\n",
    "                        'text': reply['text'],\n",
    "                        'replies': []\n",
    "                    })\n",
    "                    id += 1\n",
    "\n",
    "                    if len(reply['replies']):\n",
    "\n",
    "                        for sec_reply in reply['replies']:\n",
    "                            renamed_dataset[idx]['comments'][cmnt_idx]['replies'][repl_idx]['replies'].append({\n",
    "                                'id': id,\n",
    "                                'second_reply_author': sec_reply['publisher'],\n",
    "                                'text': sec_reply['text']\n",
    "                            })\n",
    "                            id += 1\n",
    "                            \n",
    "        except KeyError:\n",
    "            pass"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "4b95afa4",
   "metadata": {},
   "source": [
    "### Delete empty arrays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "35e114a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "for idx, post in enumerate(renamed_dataset):\n",
    "    for cmnt_idx, comment in enumerate(post['comments']):\n",
    "        try:\n",
    "           if not len(comment['replies']):\n",
    "               del renamed_dataset[idx]['comments'][cmnt_idx]['replies']\n",
    "        except KeyError as err:\n",
    "            pass\n",
    "\n",
    "        try:\n",
    "            if len(comment['replies']):\n",
    "                for repl_idx, reply in enumerate(comment['replies']):\n",
    "                    if not len(reply['replies']):\n",
    "                        del renamed_dataset[idx]['comments'][cmnt_idx]['replies'][repl_idx]['replies']\n",
    "        except KeyError:\n",
    "            pass"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "40f640e4",
   "metadata": {},
   "source": [
    "### Create JSON file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "c9054d6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('Facebook/outputs/GDPR_v5.json', 'w', encoding= \"utf-8\") as file:\n",
    "    json.dump(renamed_dataset, file, indent=4, separators=(',',': '))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d32a26df",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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