files_mephi/8 сем/01 РИАС/Lab4/main.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "09da100e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "import requests\n",
    "import matplotlib.pyplot as plt\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f2fd4c2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2026-04-29\n"
     ]
    }
   ],
   "source": [
    "def get_current_date():\n",
    "    return datetime.now().date()\n",
    "\n",
    "current_date = get_current_date()\n",
    "print(current_date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "07eeec53",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "URL: https://api.vk.com/method/groups.getMembers?group_id=gso&access_token=vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3&v=5.199\n",
      "Дата: 2026-04-29\n",
      "Количество пользователей в сообществе gso без параметра count:\n",
      "1000\n",
      "URL: https://api.vk.com/method/groups.getMembers?group_id=gso&access_token=vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3&v=5.199&count=1000\n",
      "Дата: 2026-04-29\n",
      "Количество пользователей в сообществе gso с параметром count:\n",
      "1000\n",
      "Количество участников совпадает.\n"
     ]
    }
   ],
   "source": [
    "GROUP_NAME = 'gso'\n",
    "\n",
    "COUNT = 1000\n",
    "\n",
    "def get_request(url, params):\n",
    "\n",
    "    response = requests.get(url, params=params)\n",
    "\n",
    "    data = response.json()\n",
    "\n",
    "    print(f\"URL: {response.request.url}\")\n",
    "\n",
    "    print(f\"Дата: {datetime.now().date()}\")\n",
    "\n",
    "    if 'response' in data:\n",
    "\n",
    "        return data\n",
    "\n",
    "    else:\n",
    "\n",
    "        print(f\"Ошибка в ответе API: {data}\")\n",
    "\n",
    "        return None\n",
    "\n",
    "# без count\n",
    "\n",
    "params = {\n",
    "\n",
    "    'group_id': GROUP_NAME,\n",
    "\n",
    "    'access_token': 'vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3',\n",
    "\n",
    "    'v': '5.199'\n",
    "\n",
    "}\n",
    "\n",
    "data1 = get_request('https://api.vk.com/method/groups.getMembers', params)\n",
    "\n",
    "if data1:\n",
    "\n",
    "    items1 = data1['response']['items']\n",
    "\n",
    "    print(f\"Количество пользователей в сообществе {GROUP_NAME} без параметра count:\")\n",
    "\n",
    "    print(len(items1))\n",
    "\n",
    "# с count\n",
    "\n",
    "params['count'] = COUNT\n",
    "\n",
    "data2 = get_request('https://api.vk.com/method/groups.getMembers', params)\n",
    "\n",
    "if data2:\n",
    "\n",
    "    items2 = data2['response']['items']\n",
    "\n",
    "    print(f\"Количество пользователей в сообществе {GROUP_NAME} с параметром count:\")\n",
    "\n",
    "    print(len(items2))\n",
    "\n",
    "if len(items1) == len(items2):\n",
    "\n",
    "    print(\"Количество участников совпадает.\")\n",
    "\n",
    "else:\n",
    "\n",
    "    print(\"Количество участников не совпадает.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d19da17e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error for community rtvi: {'error_code': 15, 'error_msg': 'Access denied: group hide members', 'request_params': [{'key': 'group_id', 'value': 'rtvi'}, {'key': 'offset', 'value': '0'}, {'key': 'count', 'value': '1000'}, {'key': 'v', 'value': '5.131'}, {'key': 'method', 'value': 'groups.getMembers'}, {'key': 'oauth', 'value': '1'}]}\n",
      "Final URL: https://api.vk.com/method/groups.getMembers?group_id=rtvi&access_token=vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3&offset=0&count=1000&v=5.131\n",
      "Community: rtvi, Members: 0\n",
      "\n",
      "Error for community incrussiamedia: {'error_code': 15, 'error_msg': 'Access denied: group hide members', 'request_params': [{'key': 'group_id', 'value': 'incrussiamedia'}, {'key': 'offset', 'value': '0'}, {'key': 'count', 'value': '1000'}, {'key': 'v', 'value': '5.131'}, {'key': 'method', 'value': 'groups.getMembers'}, {'key': 'oauth', 'value': '1'}]}\n",
      "Final URL: https://api.vk.com/method/groups.getMembers?group_id=incrussiamedia&access_token=vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3&offset=0&count=1000&v=5.131\n",
      "Community: incrussiamedia, Members: 0\n",
      "\n",
      "Final URL: https://api.vk.com/method/groups.getMembers?group_id=molnyja&access_token=vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3&offset=15000&count=1000&v=5.131\n",
      "Community: molnyja, Members: 14395\n",
      "\n",
      "Final URL: https://api.vk.com/method/groups.getMembers?group_id=gso&access_token=vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3&offset=21000&count=1000&v=5.131\n",
      "Community: gso, Members: 20155\n",
      "\n",
      "Final URL: https://api.vk.com/method/groups.getMembers?group_id=fcveles&access_token=vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3&offset=18000&count=1000&v=5.131\n",
      "Community: fcveles, Members: 17957\n",
      "\n",
      "Final URL: https://api.vk.com/method/groups.getMembers?group_id=vhl_official&access_token=vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3&offset=1000&count=1000&v=5.131\n",
      "Community: vhl_official, Members: 224\n",
      "\n",
      "Final URL: https://api.vk.com/method/groups.getMembers?group_id=ice_show&access_token=vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3&offset=28000&count=1000&v=5.131\n",
      "Community: ice_show, Members: 27515\n",
      "\n",
      "Final URL: https://api.vk.com/method/groups.getMembers?group_id=djsnakefr&access_token=vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3&offset=65000&count=1000&v=5.131\n",
      "Community: djsnakefr, Members: 64971\n",
      "\n",
      "Final URL: https://api.vk.com/method/groups.getMembers?group_id=a_onefilms&access_token=vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3&offset=56000&count=1000&v=5.131\n",
      "Community: a_onefilms, Members: 55380\n",
      "\n",
      "Final URL: https://api.vk.com/method/groups.getMembers?group_id=kremlinpalace&access_token=vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3&offset=56000&count=1000&v=5.131\n",
      "Community: kremlinpalace, Members: 55883\n",
      "\n",
      "\n",
      "Final results:\n",
      "rtvi: 0 members\n",
      "incrussiamedia: 0 members\n",
      "molnyja: 14395 members\n",
      "gso: 20155 members\n",
      "fcveles: 17957 members\n",
      "vhl_official: 224 members\n",
      "ice_show: 27515 members\n",
      "djsnakefr: 64971 members\n",
      "a_onefilms: 55380 members\n",
      "kremlinpalace: 55883 members\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "GROUP_NAMES = ['rtvi', 'incrussiamedia', 'molnyja', 'gso', 'fcveles', 'vhl_official', 'ice_show', 'djsnakefr', 'a_onefilms', 'kremlinpalace']\n",
    "\n",
    "COUNT = 1000\n",
    "\n",
    "def get_request(url, params):\n",
    "\n",
    "    response = requests.get(url, params=params)\n",
    "\n",
    "    return response\n",
    "\n",
    "groups_length = {}\n",
    "\n",
    "for name in GROUP_NAMES:\n",
    "\n",
    "    iteration_number = 0\n",
    "\n",
    "    response_len = 0\n",
    "\n",
    "    last_url = \"\"\n",
    "\n",
    "    while True:\n",
    "        time.sleep(1)\n",
    "\n",
    "        params = {\n",
    "\n",
    "            'group_id': name,\n",
    "\n",
    "            'access_token': 'vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3',\n",
    "\n",
    "            'offset': iteration_number * COUNT,\n",
    "\n",
    "            'count': COUNT,\n",
    "\n",
    "            'v': '5.131'\n",
    "\n",
    "        }\n",
    "\n",
    "        response = get_request('https://api.vk.com/method/groups.getMembers', params)\n",
    "\n",
    "        last_url = response.request.url  # Сохраняем URL каждого запроса\n",
    "\n",
    "        try:\n",
    "\n",
    "            data = response.json()\n",
    "\n",
    "            if 'response' in data and 'items' in data['response']:\n",
    "\n",
    "                items = data['response']['items']\n",
    "\n",
    "                if not items:\n",
    "\n",
    "                    break\n",
    "\n",
    "                response_len += len(items)\n",
    "\n",
    "                iteration_number += 1\n",
    "\n",
    "            else:\n",
    "\n",
    "                print(f\"Error for community {name}: {data.get('error', 'Unknown error')}\")\n",
    "\n",
    "                break\n",
    "\n",
    "        except ValueError:\n",
    "\n",
    "            print(f\"Error parsing response for community {name}\")\n",
    "\n",
    "            break\n",
    "\n",
    "    # Выводим только последний URL и итоговое количество\n",
    "\n",
    "    print(f\"Final URL: {last_url}\")\n",
    "\n",
    "    print(f\"Community: {name}, Members: {response_len}\\n\")\n",
    "\n",
    "    groups_length[name] = response_len\n",
    "\n",
    "# Выводим итоговые результаты\n",
    "\n",
    "print(\"\\nFinal results:\")\n",
    "\n",
    "for name, count in groups_length.items():\n",
    "\n",
    "    print(f\"{name}: {count} members\")\n",
    "\n",
    "# Строим график\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "plt.bar(groups_length.keys(), groups_length.values())\n",
    "\n",
    "plt.xlabel('Сообщества')\n",
    "\n",
    "plt.ylabel('Число участников')\n",
    "\n",
    "plt.title('Число участников в сообществах')\n",
    "\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "bfcf6757",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Final URL: https://api.vk.com/method/groups.getMembers?group_id=technoperryda&access_token=vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3&offset=2000&count=500&v=5.131\n",
      "Community: technoperryda, Members: 1988\n",
      "\n",
      "Final user info URL: https://api.vk.com/method/users.get?user_ids=1019407379%2C1019786402%2C1019957837%2C1020318979%2C1020362225%2C1023968697%2C1026158484%2C1026439250%2C1026910094%2C1027094028%2C1028918711%2C1029933765%2C1031704399%2C1032479301%2C1035506100%2C1037159701%2C1037820175%2C1039352147%2C1041444288%2C1042704283%2C1043080708%2C1043783117%2C1044525440%2C1045021490%2C1045421691%2C1046832696%2C1048094161%2C1048133973%2C1051678016%2C1053035663%2C1054592435%2C1055803998%2C1058533594%2C1062499880%2C1064465947%2C1065002407%2C1065519360%2C1067150406%2C1067677967%2C1070348649%2C1070787513%2C1070997574%2C1073634125%2C1076125132%2C1076456456%2C1080315290%2C1081677316%2C1081913050%2C1083147447%2C1084074634%2C1084447358%2C1084639513%2C1084696291%2C1085156346%2C1085306081%2C1087896348%2C1090081161%2C1090880507%2C1090958697%2C1092212649%2C1092298268%2C1092535274%2C1093302036%2C1093350034%2C1093364596%2C1093463647%2C1094485239%2C1094686952%2C1095789506%2C1097194958%2C1097972965%2C1098614642%2C1099336372%2C1099861772%2C1101231811%2C1102965165%2C1104613840%2C1104835367%2C1105913061%2C1107680825%2C1107695931%2C1107961564%2C1109018078%2C1109310522%2C1109744055%2C1110624969%2C1111363005%2C1112514724&access_token=vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3&fields=sex%2Cbdate%2Ccity&v=5.131\n",
      "\n",
      "Сегодняшняя дата: 2026-04-29\n",
      "Статистика по полу: {'male': 493, 'female': 95, 'not_specified': 0}\n",
      "Статистика по возрасту: {'less_12': 0, '12-18': 19, '18-30': 32, '30-45': 133, 'more_45': 91}\n",
      "Статистика по городам (без указания): {'not_specified': 196}\n",
      "\n",
      "Наибольшее количество пользователей по полу: male\n",
      "Наибольшее количество пользователей по возрасту: 30-45\n",
      "Наибольшее количество пользователей по городу: Москва\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "GROUP_NAME = 'technoperryda'\n",
    "\n",
    "COUNT = 500\n",
    "\n",
    "def get_request(url, params):\n",
    "\n",
    "    response = requests.get(url, params=params)\n",
    "\n",
    "    return response\n",
    "\n",
    "def get_group_members(group_name):\n",
    "\n",
    "    members = []\n",
    "\n",
    "    iteration_number = 0\n",
    "\n",
    "    last_url = \"\"\n",
    "\n",
    "    while True:\n",
    "\n",
    "        params = {\n",
    "\n",
    "            'group_id': group_name,\n",
    "\n",
    "            'access_token': 'vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3',\n",
    "\n",
    "            'offset': iteration_number * COUNT,\n",
    "\n",
    "            'count': COUNT,\n",
    "\n",
    "            'v': '5.131'\n",
    "\n",
    "        }\n",
    "\n",
    "        response = get_request('https://api.vk.com/method/groups.getMembers', params)\n",
    "\n",
    "        last_url = response.request.url\n",
    "\n",
    "        try:\n",
    "\n",
    "            data = response.json()\n",
    "\n",
    "            if 'response' in data and 'items' in data['response']:\n",
    "\n",
    "                items = data['response']['items']\n",
    "\n",
    "                if not items:\n",
    "\n",
    "                    break\n",
    "\n",
    "                members.extend(items)\n",
    "\n",
    "                iteration_number += 1\n",
    "\n",
    "            else:\n",
    "\n",
    "                print(f\"Error for community {group_name}: {data.get('error', 'Unknown error')}\")\n",
    "\n",
    "                break\n",
    "\n",
    "        except ValueError:\n",
    "\n",
    "            print(f\"Error parsing response for community {group_name}\")\n",
    "\n",
    "            break\n",
    "\n",
    "    print(f\"Final URL: {last_url}\")\n",
    "\n",
    "    print(f\"Community: {group_name}, Members: {len(members)}\\n\")\n",
    "\n",
    "    return members\n",
    "\n",
    "def get_user_info(user_ids):\n",
    "\n",
    "    user_info = []\n",
    "\n",
    "    last_url = \"\"\n",
    "\n",
    "    for i in range(0, len(user_ids), 100):\n",
    "\n",
    "        ids_batch = user_ids[i:i+100]\n",
    "\n",
    "        params = {\n",
    "\n",
    "            'user_ids': ','.join(map(str, ids_batch)),\n",
    "\n",
    "            'access_token': 'vk1.a.kHF01a96Av4v8f9Bl1YbLh8UPY0vvyTE-FLOR0gRuWUPs167KCQ6AAiN27q_OeI6LMbZAH1zUmcRHQ3WgKieEbmsEx_9kFtsU7D3qHgBQwDT9huuReCMYvoXD5G5I_D1NEwXsnCzbMJo-GiYuujh5-0F7mRzIzcIHzyjZ6OWv1FHeFYfTuBWKb5KWg-zH2b3',\n",
    "\n",
    "            'fields': 'sex,bdate,city',\n",
    "\n",
    "            'v': '5.131'\n",
    "\n",
    "        }\n",
    "\n",
    "        response = get_request('https://api.vk.com/method/users.get', params)\n",
    "\n",
    "        last_url = response.request.url\n",
    "\n",
    "        try:\n",
    "\n",
    "            data = response.json()\n",
    "\n",
    "            if 'response' in data:\n",
    "\n",
    "                user_info.extend(data['response'])\n",
    "\n",
    "        except ValueError:\n",
    "\n",
    "            print(\"Error parsing user info response\")\n",
    "\n",
    "            continue\n",
    "\n",
    "    print(f\"Final user info URL: {last_url}\")\n",
    "\n",
    "    return user_info\n",
    "\n",
    "def analyze_data(user_info):\n",
    "\n",
    "    gender_count = {'male': 0, 'female': 0, 'not_specified': 0}\n",
    "\n",
    "    age_count = {'less_12': 0, '12-18': 0, '18-30': 0, '30-45': 0, 'more_45': 0}\n",
    "\n",
    "    city_count = {'not_specified': 0}\n",
    "\n",
    "    all_cities = {}\n",
    "\n",
    "    for user in user_info:\n",
    "\n",
    "        # Пол\n",
    "\n",
    "        if user.get('sex') == 1:\n",
    "\n",
    "            gender_count['female'] += 1\n",
    "\n",
    "        elif user.get('sex') == 2:\n",
    "\n",
    "            gender_count['male'] += 1\n",
    "\n",
    "        else:\n",
    "\n",
    "            gender_count['not_specified'] += 1\n",
    "\n",
    "        # Возраст\n",
    "\n",
    "        if 'bdate' in user:\n",
    "\n",
    "            bdate = user['bdate']\n",
    "\n",
    "            try:\n",
    "\n",
    "                birth_year = int(bdate.split('.')[2])\n",
    "\n",
    "                age = datetime.now().year - birth_year\n",
    "\n",
    "                if age < 12:\n",
    "\n",
    "                    age_count['less_12'] += 1\n",
    "\n",
    "                elif 12 <= age < 18:\n",
    "\n",
    "                    age_count['12-18'] += 1\n",
    "\n",
    "                elif 18 <= age < 30:\n",
    "\n",
    "                    age_count['18-30'] += 1\n",
    "\n",
    "                elif 30 <= age < 45:\n",
    "\n",
    "                    age_count['30-45'] += 1\n",
    "\n",
    "                elif age >= 45:\n",
    "\n",
    "                    age_count['more_45'] += 1\n",
    "\n",
    "            except (IndexError, ValueError):\n",
    "\n",
    "                continue\n",
    "\n",
    "        # Город\n",
    "\n",
    "        if 'city' in user:\n",
    "\n",
    "            city = user['city']['title']\n",
    "\n",
    "            all_cities[city] = all_cities.get(city, 0) + 1\n",
    "\n",
    "        else:\n",
    "\n",
    "            city_count['not_specified'] += 1\n",
    "\n",
    "    return gender_count, age_count, city_count, all_cities\n",
    "\n",
    "def plot_histogram(data, title, xlabel, ylabel, top_n=None, figsize=(10, 6)):\n",
    "\n",
    "    if top_n and isinstance(data, dict):\n",
    "\n",
    "        sorted_items = sorted(data.items(), key=lambda x: x[1], reverse=True)\n",
    "\n",
    "        data = dict(sorted_items[:top_n])\n",
    "\n",
    "    plt.figure(figsize=figsize)\n",
    "\n",
    "    plt.bar(data.keys(), data.values())\n",
    "\n",
    "    plt.title(title)\n",
    "\n",
    "    plt.xlabel(xlabel)\n",
    "\n",
    "    plt.ylabel(ylabel)\n",
    "\n",
    "    plt.xticks(rotation=45, ha='right')\n",
    "\n",
    "    plt.tight_layout()\n",
    "\n",
    "    plt.show()\n",
    "\n",
    "members = get_group_members(GROUP_NAME)\n",
    "\n",
    "user_info = get_user_info(members)\n",
    "\n",
    "gender_count, age_count, city_count, all_cities = analyze_data(user_info)\n",
    "\n",
    "print(f\"\\nСегодняшняя дата: {datetime.now().date()}\")\n",
    "\n",
    "print(\"Статистика по полу:\", gender_count)\n",
    "\n",
    "print(\"Статистика по возрасту:\", age_count)\n",
    "\n",
    "print(\"Статистика по городам (без указания):\", city_count)\n",
    "\n",
    "max_gender = max(gender_count, key=gender_count.get)\n",
    "\n",
    "max_age = max(age_count, key=age_count.get)\n",
    "\n",
    "max_city = max(all_cities, key=all_cities.get) if all_cities else \"нет данных\"\n",
    "\n",
    "print(f\"\\nНаибольшее количество пользователей по полу: {max_gender}\")\n",
    "\n",
    "print(f\"Наибольшее количество пользователей по возрасту: {max_age}\")\n",
    "\n",
    "print(f\"Наибольшее количество пользователей по городу: {max_city}\")\n",
    "\n",
    "# Построение графиков\n",
    "\n",
    "plot_histogram(gender_count, \"Распределение пользователей по полу\", \"Пол\", \"Количество пользователей\")\n",
    "\n",
    "plot_histogram(age_count, \"Распределение пользователей по возрасту\", \"Возрастная категория\", \"Количество пользователей\")\n",
    "\n",
    "plot_histogram(all_cities, \"Топ-10 городов пользователей\", \"Город\", \"Количество пользователей\", top_n=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2d0c2b36",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Пропущена строка с ошибкой: time data '' does not match format '%Y-%m-%d'\n",
      "\n",
      "Сегодняшняя дата: 2026-04-29\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1150x575 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import urllib.request\n",
    "import xml.dom.minidom\n",
    "import matplotlib.pyplot as plt\n",
    "import mplfinance as mpf\n",
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "\n",
    "# Конфигурационные параметры\n",
    "TICKER = \"SBER\"\n",
    "START_DATE = \"2025-01-01\" \n",
    "END_DATE = \"2026-04-29\"\n",
    "MOVING_AVERAGES = (5, 20)  # Периоды скользящих средних\n",
    "\n",
    "# Формирование URL\n",
    "base_url = \"https://iss.moex.com/iss/history/engines/stock/markets/shares/boards/tqbr/securities/\"\n",
    "url_params = {\n",
    "    \"from\": START_DATE,\n",
    "    \"till\": END_DATE,\n",
    "    \"start\": \"0\"\n",
    "}\n",
    "full_url = f\"{base_url}{TICKER.lower()}.xml?{urllib.parse.urlencode(url_params)}\"\n",
    "\n",
    "# Загрузка и парсинг данных\n",
    "try:\n",
    "    with urllib.request.urlopen(full_url) as response:\n",
    "        doc = xml.dom.minidom.parse(response)\n",
    "except Exception as e:\n",
    "    print(f\"Ошибка при загрузке данных: {e}\")\n",
    "    exit()\n",
    "\n",
    "# Извлечение данных с обработкой ошибок\n",
    "data = []\n",
    "rows = doc.getElementsByTagName(\"row\")\n",
    "\n",
    "for row in rows:\n",
    "    try:\n",
    "        date_str = row.getAttribute('TRADEDATE')\n",
    "        trade_date = datetime.strptime(date_str, '%Y-%m-%d')\n",
    "        o = float(row.getAttribute('OPEN'))\n",
    "        h = float(row.getAttribute('HIGH'))\n",
    "        l = float(row.getAttribute('LOW'))\n",
    "        c = float(row.getAttribute('CLOSE'))\n",
    "        data.append((trade_date, o, h, l, c))\n",
    "    except (ValueError, KeyError) as e:\n",
    "        print(f\"Пропущена строка с ошибкой: {e}\")\n",
    "        continue\n",
    "\n",
    "# Создание DataFrame\n",
    "if not data:\n",
    "    print(\"Нет данных для построения графика!\")\n",
    "    exit()\n",
    "\n",
    "df = pd.DataFrame(data, columns=['Date', 'Open', 'High', 'Low', 'Close'])\n",
    "df.set_index('Date', inplace=True)\n",
    "\n",
    "# Настройка стиля графика\n",
    "custom_style = mpf.make_mpf_style(\n",
    "    base_mpf_style='nightclouds',\n",
    "    marketcolors=mpf.make_marketcolors(\n",
    "        up='#4BFA9F',  # Зеленый\n",
    "        down='#FF4242', # Красный\n",
    "        wick={'up':'#4BFA9F', 'down':'#FF4242'},\n",
    "        edge={'up':'#4BFA9F', 'down':'#FF4242'}\n",
    "    )\n",
    ")\n",
    "print(f\"\\nСегодняшняя дата: {datetime.now().date()}\")\n",
    "# Построение графика\n",
    "mpf.plot(df,\n",
    "         type='candle',\n",
    "         style=custom_style,\n",
    "         title=f'Котировки {TICKER} ({START_DATE} - {END_DATE})',\n",
    "         ylabel='Цена (руб)',\n",
    "         volume=False,\n",
    "         mav=MOVING_AVERAGES,\n",
    "         figratio=(12, 6),\n",
    "         datetime_format='%b %Y',\n",
    "         warn_too_much_data=10000)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9c840635",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Размер целевой аудитории: 7 300 человек\n",
      "Затраты на рекламу: 36 500 руб.\n",
      "Прогнозируемый доход: 365 000 руб.\n",
      "\n",
      "Результат: Рекламная кампания ЦЕЛЕСООБРАЗНА\n"
     ]
    }
   ],
   "source": [
    "TARGET_AUDIENCE = 7300  # Оценка целевой аудитории\n",
    "CPC = 5  # Цена за клик\n",
    "CONVERSION_RATE = 0.05  # Конверсия в целевое действие\n",
    "AVERAGE_REVENUE_PER_USER = 1000  # Средний доход с одного пользователя\n",
    "\n",
    "def calculate_campaign_viability(audience, cpc, conversion_rate, revenue_per_user):\n",
    "    campaign_cost = cpc * audience\n",
    "    expected_revenue = revenue_per_user * audience * conversion_rate\n",
    "    print(f\"Размер целевой аудитории: {audience:,} человек\".replace(\",\", \" \"))\n",
    "    print(f\"Затраты на рекламу: {campaign_cost:,.0f} руб.\".replace(\",\", \" \"))\n",
    "    print(f\"Прогнозируемый доход: {expected_revenue:,.0f} руб.\".replace(\",\", \" \"))\n",
    "\n",
    "    # Анализ целесообразности\n",
    "    if campaign_cost > expected_revenue:\n",
    "        print(\"\\nРезультат: Рекламная кампания НЕ ЦЕЛЕСООБРАЗНА\")\n",
    "    else:\n",
    "        print(\"\\nРезультат: Рекламная кампания ЦЕЛЕСООБРАЗНА\")\n",
    "\n",
    "# Расчет и вывод результатов\n",
    "calculate_campaign_viability(\n",
    "    audience=TARGET_AUDIENCE,\n",
    "    cpc=CPC,\n",
    "    conversion_rate=CONVERSION_RATE,\n",
    "    revenue_per_user=AVERAGE_REVENUE_PER_USER\n",
    ")\n"
   ]
  }
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