{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def open_json(filename):\n",
    "    with open(filename, 'r') as json_file:\n",
    "        return json.load(json_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def add_ids(json_file):\n",
    "    id_counter = 1\n",
    "    for post in json_file:\n",
    "        post[\"id\"] = id_counter\n",
    "        id_counter += 1\n",
    "        if 'comments' in post:\n",
    "            for comment in post['comments']:\n",
    "                comment[\"id\"] = id_counter\n",
    "                id_counter += 1\n",
    "                if 'replies' in comment:\n",
    "                    for reply in comment['replies']:\n",
    "                        reply[\"id\"] = id_counter\n",
    "                        id_counter += 1\n",
    "                        if 'replies' in reply:\n",
    "                            for sec_reply in reply['replies']:\n",
    "                                sec_reply[\"id\"] = id_counter\n",
    "                                id_counter += 1\n",
    "    return json_file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_json(filename, data):\n",
    "    with open(filename, 'w', encoding = \"utf-8\", ) as file:\n",
    "        json.dump(data, file, indent=4, separators=(',',': '))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "for json_file in os.listdir(\"json_data\"):\n",
    "    data = open_json(f'json_data/{json_file}')\n",
    "    data = add_ids(data)\n",
    "    create_json(f'json_data_id/{json_file}', data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "sentiment",
   "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": "3.9.16"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}