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"https://localhost:8080/" }, "id": "po81s2FamVwr", "outputId": "665a796c-0f38-4b34-a7df-0e165bdc8b86" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m748.5/748.5 kB\u001b[0m \u001b[31m12.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m46.0/46.0 kB\u001b[0m \u001b[31m2.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h Building wheel for pyaes (setup.py) ... \u001b[?25l\u001b[?25hdone\n" ] } ], "source": [ "!pip -q install telethon nest_asyncio transformers accelerate torch pandas tqdm matplotlib sqlalchemy qrcode[pil] numpy" ] }, { "cell_type": "code", "source": [ "import os\n", "import nest_asyncio\n", "from datetime import datetime, timezone\n", "from google.colab import drive\n", "\n", "nest_asyncio.apply()\n", "drive.mount('/content/drive')\n", "\n", "CHANNEL = \"linuxos_tg\"\n", "START_DATE = datetime(2025, 1, 1, tzinfo=timezone.utc)\n", "\n", "BASE_DIR = \"/content/drive/MyDrive/practice_19_20_linuxos_tg\"\n", "DB_PATH = os.path.join(BASE_DIR, \"linuxos_tg.sqlite\")\n", "OUT_DIR = os.path.join(BASE_DIR, \"outputs\")\n", "PLOTS_DIR = os.path.join(OUT_DIR, \"plots\")\n", "SESSION_PATH = os.path.join(BASE_DIR, \"telethon_session\")\n", "\n", "os.makedirs(BASE_DIR, exist_ok=True)\n", "os.makedirs(OUT_DIR, exist_ok=True)\n", "os.makedirs(PLOTS_DIR, exist_ok=True)\n", "\n", "print(DB_PATH)\n", "print(PLOTS_DIR)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "uootOIMhqzZB", "outputId": "d415f6c1-007e-46e4-a75a-0626f9b837bc" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Mounted at /content/drive\n", "/content/drive/MyDrive/practice_19_20_linuxos_tg/linuxos_tg.sqlite\n", "/content/drive/MyDrive/practice_19_20_linuxos_tg/outputs/plots\n" ] } ] }, { "cell_type": "code", "source": [ "try:\n", " from google.colab import userdata\n", " TELEGRAM_API_ID = int(userdata.get(\"TG_API_ID\"))\n", " TELEGRAM_API_HASH = userdata.get(\"TG_API_HASH\")\n", " print(\"Ключи получены из Colab Secrets\")\n", "except Exception:\n", " TELEGRAM_API_ID = int(input(\"Введите TELEGRAM_API_ID: \").strip())\n", " TELEGRAM_API_HASH = input(\"Введите TELEGRAM_API_HASH: \").strip()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "iQ9EpG7eq18N", "outputId": "50fc9856-cbd1-42e9-ae57-ca83e4b50cb8" }, "execution_count": null, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Введите TELEGRAM_API_ID: 22344724\n", "Введите TELEGRAM_API_HASH: 8475e7bccab33f69767a777bf5fefbde\n" ] } ] }, { "cell_type": "code", "source": [ "from telethon import TelegramClient\n", "import qrcode\n", "from IPython.display import display\n", "\n", "async def login_by_qr():\n", " client = TelegramClient(SESSION_PATH, TELEGRAM_API_ID, TELEGRAM_API_HASH)\n", " await client.connect()\n", "\n", " if not await client.is_user_authorized():\n", " qr = await client.qr_login()\n", " display(qrcode.make(qr.url))\n", " await qr.wait()\n", "\n", " print(\"Авторизация успешна:\", await client.is_user_authorized())\n", " await client.disconnect()\n", "\n", "await login_by_qr()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 485 }, "id": "DiFA64zMrVC1", "outputId": "2e192612-88e3-46d6-d331-2597d4b5f28b" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "" ], "image/png": 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\n" }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Авторизация успешна: True\n" ] } ] }, { "cell_type": "code", "source": [ "from sqlalchemy import create_engine, text\n", "\n", "engine = create_engine(f\"sqlite:///{DB_PATH}\", future=True)\n", "\n", "with engine.begin() as conn:\n", " conn.execute(text(\"\"\"\n", " CREATE TABLE IF NOT EXISTS telegram_messages(\n", " msg_id INTEGER PRIMARY KEY,\n", " post_date TEXT NOT NULL,\n", " post_text TEXT NOT NULL,\n", " post_url TEXT NOT NULL\n", " )\n", " \"\"\"))\n", "\n", " conn.execute(text(\"\"\"\n", " CREATE TABLE IF NOT EXISTS analysis_results(\n", " msg_id INTEGER PRIMARY KEY,\n", " sentiment_label TEXT,\n", " sentiment_score REAL,\n", " sentiment_index REAL,\n", " sentiments_json TEXT,\n", " entities_json TEXT,\n", " FOREIGN KEY(msg_id) REFERENCES telegram_messages(msg_id)\n", " )\n", " \"\"\"))\n", "\n", "print(\"База и таблицы созданы.\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "T_1oYecurccv", "outputId": "07772cc5-14da-4e3a-e2db-63c5322e4090" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "База и таблицы созданы.\n" ] } ] }, { "cell_type": "code", "source": [ "from datetime import timedelta\n", "from telethon.errors import FloodWaitError\n", "from tqdm.auto import tqdm\n", "\n", "def message_to_text(msg):\n", " txt = (msg.message or msg.text or \"\").strip()\n", " return txt if txt else \"[MEDIA]\"\n", "\n", "async def parse_channel():\n", " client = TelegramClient(SESSION_PATH, TELEGRAM_API_ID, TELEGRAM_API_HASH)\n", " await client.connect()\n", " entity = await client.get_entity(CHANNEL)\n", "\n", " offset = START_DATE - timedelta(seconds=1)\n", " batch = []\n", " total_added = 0\n", "\n", " try:\n", " async for msg in client.iter_messages(entity, reverse=True, offset_date=offset):\n", " if not msg.date or msg.date < START_DATE:\n", " continue\n", "\n", " batch.append({\n", " \"msg_id\": int(msg.id),\n", " \"post_date\": msg.date.astimezone(timezone.utc).isoformat(),\n", " \"post_text\": message_to_text(msg),\n", " \"post_url\": f\"https://t.me/{CHANNEL}/{msg.id}\"\n", " })\n", "\n", " if len(batch) >= 100:\n", " with engine.begin() as conn:\n", " conn.execute(text(\"\"\"\n", " INSERT OR IGNORE INTO telegram_messages(msg_id, post_date, post_text, post_url)\n", " VALUES (:msg_id, :post_date, :post_text, :post_url)\n", " \"\"\"), batch)\n", " total_added += len(batch)\n", " batch = []\n", "\n", " if batch:\n", " with engine.begin() as conn:\n", " conn.execute(text(\"\"\"\n", " INSERT OR IGNORE INTO telegram_messages(msg_id, post_date, post_text, post_url)\n", " VALUES (:msg_id, :post_date, :post_text, :post_url)\n", " \"\"\"), batch)\n", " total_added += len(batch)\n", "\n", " except FloodWaitError as e:\n", " print(f\"FloodWait: ждём {e.seconds} секунд\")\n", " finally:\n", " await client.disconnect()\n", "\n", " print(\"Добавлено сообщений:\", total_added)\n", "\n", "await parse_channel()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "M-zfHIaBrerj", "outputId": "b8ff246c-608e-4320-8154-dc701d4a6fa2" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Добавлено сообщений: 683\n" ] } ] }, { "cell_type": "code", "source": [ "import pandas as pd\n", "\n", "with engine.begin() as conn:\n", " total_msgs = conn.execute(text(\"SELECT COUNT(*) FROM telegram_messages\")).scalar()\n", " text_msgs = conn.execute(text(\"SELECT COUNT(*) FROM telegram_messages WHERE post_text <> '[MEDIA]'\")).scalar()\n", "\n", "print(\"Всего сообщений:\", total_msgs)\n", "print(\"Текстовых сообщений:\", text_msgs)\n", "\n", "preview = pd.read_sql_query(\"\"\"\n", "SELECT *\n", "FROM telegram_messages\n", "ORDER BY post_date ASC\n", "LIMIT 5\n", "\"\"\", engine)\n", "\n", "preview" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 329 }, "id": "ukssfafArgnQ", "outputId": "d606ba7c-1efd-4404-d0fd-db13fdf12100" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Всего сообщений: 683\n", "Текстовых сообщений: 492\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ " msg_id post_date \\\n", "0 1 2025-01-16T12:00:05+00:00 \n", "1 7 2025-02-02T06:53:55+00:00 \n", "2 8 2025-02-02T07:11:49+00:00 \n", "3 9 2025-02-02T07:15:23+00:00 \n", "4 10 2025-02-02T07:20:51+00:00 \n", "\n", " post_text \\\n", "0 [MEDIA] \n", "1 💡 Быстрый совет по Linux \\n\\nКоманда ls — отли... \n", "2 Awesome Linux Software \\n\\nОчень объёмный пере... \n", "3 💡 Быстрый совет по Linux\\n\\nЕсли вы не можете ... \n", "4 Понимание системных логов Linux\\n\\nСистемные л... \n", "\n", " post_url \n", "0 https://t.me/linuxos_tg/1 \n", "1 https://t.me/linuxos_tg/7 \n", "2 https://t.me/linuxos_tg/8 \n", "3 https://t.me/linuxos_tg/9 \n", "4 https://t.me/linuxos_tg/10 " ], "text/html": [ "\n", "
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msg_idpost_datepost_textpost_url
012025-01-16T12:00:05+00:00[MEDIA]https://t.me/linuxos_tg/1
172025-02-02T06:53:55+00:00💡 Быстрый совет по Linux \\n\\nКоманда ls — отли...https://t.me/linuxos_tg/7
282025-02-02T07:11:49+00:00Awesome Linux Software \\n\\nОчень объёмный пере...https://t.me/linuxos_tg/8
392025-02-02T07:15:23+00:00💡 Быстрый совет по Linux\\n\\nЕсли вы не можете ...https://t.me/linuxos_tg/9
4102025-02-02T07:20:51+00:00Понимание системных логов Linux\\n\\nСистемные л...https://t.me/linuxos_tg/10
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "preview", "summary": "{\n \"name\": \"preview\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"msg_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 3,\n \"min\": 1,\n \"max\": 10,\n \"num_unique_values\": 5,\n \"samples\": [\n 7,\n 10,\n 8\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"post_date\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"2025-02-02T06:53:55+00:00\",\n \"2025-02-02T07:20:51+00:00\",\n \"2025-02-02T07:11:49+00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"post_text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"\\ud83d\\udca1 \\u0411\\u044b\\u0441\\u0442\\u0440\\u044b\\u0439 \\u0441\\u043e\\u0432\\u0435\\u0442 \\u043f\\u043e Linux 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\\u0431\\u0443\\u0444\\u0435\\u0440\\u0430 \\u044f\\u0434\\u0440\\u0430, \\u043f\\u0440\\u0435\\u0434\\u043e\\u0441\\u0442\\u0430\\u0432\\u043b\\u044f\\u044f \\u0440\\u0435\\u0430\\u043b\\u044c\\u043d\\u044b\\u0439 \\u0432\\u0440\\u0435\\u043c\\u0435\\u043d\\u043d\\u043e\\u0439 \\u043e\\u0431\\u0437\\u043e\\u0440 \\u0441\\u043e\\u0431\\u044b\\u0442\\u0438\\u0439, \\u0441\\u0432\\u044f\\u0437\\u0430\\u043d\\u043d\\u044b\\u0445 \\u0441 \\u044f\\u0434\\u0440\\u043e\\u043c, \\u0438 \\u043e\\u0431\\u043d\\u0430\\u0440\\u0443\\u0436\\u0435\\u043d\\u0438\\u0435\\u043c \\u043e\\u0431\\u043e\\u0440\\u0443\\u0434\\u043e\\u0432\\u0430\\u043d\\u0438\\u044f \\u0432\\u043e \\u0432\\u0440\\u0435\\u043c\\u044f \\u0437\\u0430\\u0433\\u0440\\u0443\\u0437\\u043a\\u0438 \\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u044b.\\n\\n\\u2014 cron: \\u0417\\u0430\\u043f\\u0438\\u0441\\u044b\\u0432\\u0430\\u0435\\u0442 \\u0441\\u043e\\u043e\\u0431\\u0449\\u0435\\u043d\\u0438\\u044f, \\u0441\\u0432\\u044f\\u0437\\u0430\\u043d\\u043d\\u044b\\u0435 \\u0441 \\u0437\\u0430\\u0434\\u0430\\u043d\\u0438\\u044f\\u043c\\u0438 cron \\u0438 \\u0437\\u0430\\u043f\\u043b\\u0430\\u043d\\u0438\\u0440\\u043e\\u0432\\u0430\\u043d\\u043d\\u044b\\u043c\\u0438 \\u0437\\u0430\\u0434\\u0430\\u0447\\u0430\\u043c\\u0438, \\u0432\\u043a\\u043b\\u044e\\u0447\\u0430\\u044f \\u0432\\u0440\\u0435\\u043c\\u044f \\u0438\\u0445 \\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u0435\\u043d\\u0438\\u044f \\u0438 \\u043e\\u0448\\u0438\\u0431\\u043a\\u0438, \\u0432\\u043e\\u0437\\u043d\\u0438\\u043a\\u0448\\u0438\\u0435 \\u043f\\u0440\\u0438 \\u0438\\u0445 \\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u0435\\u043d\\u0438\\u0438.\\n\\n\\u2014 secure: \\u0417\\u0430\\u043f\\u0438\\u0441\\u044b\\u0432\\u0430\\u0435\\u0442 \\u0441\\u043e\\u043e\\u0431\\u0449\\u0435\\u043d\\u0438\\u044f, \\u0441\\u0432\\u044f\\u0437\\u0430\\u043d\\u043d\\u044b\\u0435 \\u0441 \\u0431\\u0435\\u0437\\u043e\\u043f\\u0430\\u0441\\u043d\\u043e\\u0441\\u0442\\u044c\\u044e, \\u0432\\u043a\\u043b\\u044e\\u0447\\u0430\\u044f \\u043f\\u043e\\u043f\\u044b\\u0442\\u043a\\u0438 \\u0430\\u0443\\u0442\\u0435\\u043d\\u0442\\u0438\\u0444\\u0438\\u043a\\u0430\\u0446\\u0438\\u0438, \\u043f\\u043e\\u0432\\u044b\\u0448\\u0435\\u043d\\u0438\\u0435 \\u043f\\u0440\\u0438\\u0432\\u0438\\u043b\\u0435\\u0433\\u0438\\u0439 \\u0438 \\u0434\\u0440\\u0443\\u0433\\u0438\\u0435 \\u0441\\u043e\\u0431\\u044b\\u0442\\u0438\\u044f \\u0431\\u0435\\u0437\\u043e\\u043f\\u0430\\u0441\\u043d\\u043e\\u0441\\u0442\\u0438.\\n\\n\\u2014 apache/access.log \\u0438 apache/error.log: \\u041b\\u043e\\u0433\\u0438, \\u0441\\u043f\\u0435\\u0446\\u0438\\u0444\\u0438\\u0447\\u043d\\u044b\\u0435 \\u0434\\u043b\\u044f \\u0432\\u0435\\u0431-\\u0441\\u0435\\u0440\\u0432\\u0435\\u0440\\u0430 Apache. access.log \\u0437\\u0430\\u043f\\u0438\\u0441\\u044b\\u0432\\u0430\\u0435\\u0442 \\u043b\\u043e\\u0433\\u0438 HTTP-\\u0434\\u043e\\u0441\\u0442\\u0443\\u043f\\u0430, \\u0430 error.log \\u0444\\u0438\\u043a\\u0441\\u0438\\u0440\\u0443\\u0435\\u0442 \\u043e\\u0448\\u0438\\u0431\\u043a\\u0438 \\u0438 \\u043f\\u0440\\u0435\\u0434\\u0443\\u043f\\u0440\\u0435\\u0436\\u0434\\u0435\\u043d\\u0438\\u044f \\u0441\\u0435\\u0440\\u0432\\u0435\\u0440\\u0430 Apache.\\n\\n\\u2014 nginx/access.log \\u0438 nginx/error.log: \\u041f\\u043e\\u0434\\u043e\\u0431\\u043d\\u044b\\u0435 \\u043b\\u043e\\u0433\\u0430\\u043c Apache, \\u044d\\u0442\\u0438 \\u043b\\u043e\\u0433\\u0438 \\u0441\\u043f\\u0435\\u0446\\u0438\\u0444\\u0438\\u0447\\u043d\\u044b \\u0434\\u043b\\u044f \\u0432\\u0435\\u0431-\\u0441\\u0435\\u0440\\u0432\\u0435\\u0440\\u0430 Nginx \\u0438 \\u0437\\u0430\\u043f\\u0438\\u0441\\u044b\\u0432\\u0430\\u044e\\u0442 \\u0441\\u043e\\u0431\\u044b\\u0442\\u0438\\u044f \\u0434\\u043e\\u0441\\u0442\\u0443\\u043f\\u0430 \\u0438 \\u043e\\u0448\\u0438\\u0431\\u043a\\u0438.\\n\\n\\u2014 mysql/error.log: \\u0417\\u0430\\u043f\\u0438\\u0441\\u044b\\u0432\\u0430\\u0435\\u0442 \\u043e\\u0448\\u0438\\u0431\\u043a\\u0438 \\u0438 \\u043f\\u0440\\u0435\\u0434\\u0443\\u043f\\u0440\\u0435\\u0436\\u0434\\u0435\\u043d\\u0438\\u044f, \\u0432\\u043e\\u0437\\u043d\\u0438\\u043a\\u0448\\u0438\\u0435 \\u0443 \\u0441\\u0435\\u0440\\u0432\\u0435\\u0440\\u0430 \\u0431\\u0430\\u0437\\u044b \\u0434\\u0430\\u043d\\u043d\\u044b\\u0445 MySQL, \\u0432\\u043a\\u043b\\u044e\\u0447\\u0430\\u044f \\u043e\\u0448\\u0438\\u0431\\u043a\\u0438 \\u043f\\u0440\\u0438 \\u0441\\u0442\\u0430\\u0440\\u0442\\u0435, \\u0441\\u0431\\u043e\\u0438 \\u0437\\u0430\\u043f\\u0440\\u043e\\u0441\\u043e\\u0432 \\u0438 \\u0441\\u0431\\u043e\\u0438 \\u0431\\u0430\\u0437 \\u0434\\u0430\\u043d\\u043d\\u044b\\u0445.\\n\\n\\u042d\\u0442\\u0438 \\u043b\\u043e\\u0433\\u0438 \\u043f\\u0440\\u0435\\u0434\\u043e\\u0441\\u0442\\u0430\\u0432\\u043b\\u044f\\u044e\\u0442 \\u0446\\u0435\\u043d\\u043d\\u0443\\u044e \\u0438\\u043d\\u0444\\u043e\\u0440\\u043c\\u0430\\u0446\\u0438\\u044e \\u043e \\u043f\\u0440\\u043e\\u0438\\u0437\\u0432\\u043e\\u0434\\u0438\\u0442\\u0435\\u043b\\u044c\\u043d\\u043e\\u0441\\u0442\\u0438 \\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u044b, \\u0441\\u043e\\u0431\\u044b\\u0442\\u0438\\u044f\\u0445 \\u0431\\u0435\\u0437\\u043e\\u043f\\u0430\\u0441\\u043d\\u043e\\u0441\\u0442\\u0438 \\u0438 \\u043f\\u043e\\u043c\\u043e\\u0433\\u0430\\u044e\\u0442 \\u043f\\u0440\\u0438 \\u0443\\u0441\\u0442\\u0440\\u0430\\u043d\\u0435\\u043d\\u0438\\u0438 \\u043f\\u0440\\u043e\\u0431\\u043b\\u0435\\u043c. \\n\\n\\u0420\\u0435\\u0433\\u0443\\u043b\\u044f\\u0440\\u043d\\u044b\\u0439 \\u043c\\u043e\\u043d\\u0438\\u0442\\u043e\\u0440\\u0438\\u043d\\u0433 \\u0438 \\u0430\\u043d\\u0430\\u043b\\u0438\\u0437 \\u044d\\u0442\\u0438\\u0445 \\u043b\\u043e\\u0433\\u043e\\u0432 \\u043f\\u043e\\u043c\\u043e\\u0433\\u0430\\u044e\\u0442 \\u043f\\u043e\\u0434\\u0434\\u0435\\u0440\\u0436\\u0438\\u0432\\u0430\\u0442\\u044c \\u0437\\u0434\\u043e\\u0440\\u043e\\u0432\\u044c\\u0435 \\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u044b \\u0438 \\u0432\\u044b\\u044f\\u0432\\u043b\\u044f\\u0442\\u044c \\u043f\\u043e\\u0442\\u0435\\u043d\\u0446\\u0438\\u0430\\u043b\\u044c\\u043d\\u044b\\u0435 \\u043f\\u0440\\u043e\\u0431\\u043b\\u0435\\u043c\\u044b \\u0434\\u043e \\u0442\\u043e\\u0433\\u043e, \\u043a\\u0430\\u043a \\u043e\\u043d\\u0438 \\u043f\\u0435\\u0440\\u0435\\u0440\\u0430\\u0441\\u0442\\u0443\\u0442 \\u0432 \\u0441\\u0435\\u0440\\u044c\\u0451\\u0437\\u043d\\u044b\\u0435.\\n\\n@linuxos_tg\",\n \"Awesome Linux Software \\n\\n\\u041e\\u0447\\u0435\\u043d\\u044c \\u043e\\u0431\\u044a\\u0451\\u043c\\u043d\\u044b\\u0439 \\u043f\\u0435\\u0440\\u0435\\u0447\\u0435\\u043d\\u044c \\u043f\\u0440\\u0438\\u043b\\u043e\\u0436\\u0435\\u043d\\u0438\\u0439, \\u041f\\u041e, \\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043c\\u0435\\u043d\\u0442\\u043e\\u0432 \\u0438 \\u0434\\u0440\\u0443\\u0433\\u0438\\u0445 \\u043c\\u0430\\u0442\\u0435\\u0440\\u0438\\u0430\\u043b\\u043e\\u0432 \\u0434\\u043b\\u044f \\u0440\\u0430\\u0437\\u043d\\u044b\\u0445 \\u0434\\u0438\\u0441\\u0442\\u0440\\u0438\\u0431\\u0443\\u0442\\u0438\\u0432\\u043e\\u0432 Linux\\n\\n@linuxos_tg\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"post_url\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"https://t.me/linuxos_tg/7\",\n \"https://t.me/linuxos_tg/10\",\n \"https://t.me/linuxos_tg/8\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 8 } ] }, { "cell_type": "code", "source": [ "import torch\n", "from transformers import pipeline, AutoTokenizer\n", "\n", "SENTIMENT_MODEL = \"blanchefort/rubert-base-cased-sentiment\"\n", "NER_MODEL = \"Babelscape/wikineural-multilingual-ner\"\n", "\n", "device = 0 if torch.cuda.is_available() else -1\n", "print(\"device:\", \"cuda\" if device == 0 else \"cpu\")\n", "\n", "sent_pipe = pipeline(\n", " \"text-classification\",\n", " model=SENTIMENT_MODEL,\n", " tokenizer=SENTIMENT_MODEL,\n", " device=device\n", ")\n", "\n", "ner_pipe = pipeline(\n", " \"ner\",\n", " model=NER_MODEL,\n", " tokenizer=NER_MODEL,\n", " aggregation_strategy=\"simple\",\n", " device=device\n", ")\n", "\n", "sent_tok = AutoTokenizer.from_pretrained(SENTIMENT_MODEL)\n", "ner_tok = AutoTokenizer.from_pretrained(NER_MODEL)\n", "\n", "def strict_truncate(text: str, tokenizer, max_len: int) -> str:\n", " enc = tokenizer(text, truncation=True, max_length=max_len)\n", " return tokenizer.decode(enc[\"input_ids\"], skip_special_tokens=True)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 873, "referenced_widgets": [ "87c9235a40cc46f285d89adcc4ae7b80", "a08ca15d6f8a4193b83bb1166f4b58a4", 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"faae47453ce04c9b8035a6a3df9e7d2c", "cc47cbfd46a44921bbb862d38e02d1f5", "12dca68268724f578ae1f1caa254c5bb", "dde4ccf7d5a74b149b6fec24c3608493", "eff2e5a12b374d5889d9b1882e228fbe", "b9b4e7d5670746a99de792f6e5342d06" ] }, "id": "czk6VKLFri0T", "outputId": "6a18d88f-fd82-4cbe-a4c4-e5d1cc40d152" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "device: cuda\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n", "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", "You will be able to reuse this secret in all of your notebooks.\n", "Please note that authentication is recommended but still optional to access public models or datasets.\n", " warnings.warn(\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "config.json: 0%| | 0.00/943 [00:00 '[MEDIA]'\n", "ORDER BY m.post_date ASC\n", "\"\"\", engine)\n", "\n", "print(\"Нужно обработать:\", len(todo))\n", "\n", "with engine.begin() as conn:\n", " for row in tqdm(todo.itertuples(index=False), total=len(todo), desc=\"NLP inference\"):\n", " res = analyze_text(row.post_text)\n", " conn.execute(text(\"\"\"\n", " INSERT OR REPLACE INTO analysis_results(\n", " msg_id, sentiment_label, sentiment_score, sentiment_index, sentiments_json, entities_json\n", " )\n", " VALUES (\n", " :msg_id, :sentiment_label, :sentiment_score, :sentiment_index, :sentiments_json, :entities_json\n", " )\n", " \"\"\"), {\n", " \"msg_id\": int(row.msg_id),\n", " **res\n", " })\n", "\n", "print(\"Анализ завершён.\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 124, "referenced_widgets": [ "43fd2cfaf07d4c36a17f064d6785407b", "1a2bf2c666fd4a7f90e9e282a21e01b3", "25dbdb764f2e4250a883c91ea0bc4ff9", "4af5b03c191148e89fc455a55f0f784a", "1ed56701f80641a6905b45a1fbb939a4", "7c9e97ca5aec484483e6b57013c7c067", "9e0db0cab5a64b358d496bc11035784b", "09e78c2b7a3e4299bfe935a772d37572", "69230fa3b02046048a5dee17ed77a8ef", "3e8aad08a9f042448ef795ae7228ce29", "dbea07f411474d4fadbb96eb7eaa0098" ] }, "id": "dsyDzwbOrk3L", "outputId": "b10e8c85-4f61-42da-f108-700b8535a37b" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Нужно обработать: 492\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "NLP inference: 0%| | 0/492 [00:00 '[MEDIA]'\n", "ORDER BY m.post_date ASC\n", "\"\"\", engine)\n", "\n", "sample_n = min(10, len(full_df))\n", "train_sample = full_df.sample(n=sample_n, random_state=19).reset_index(drop=True)\n", "train_sample[\"pred_entities_top\"] = train_sample[\"entities_json\"].apply(top_entities_from_json)\n", "\n", "sample_path = os.path.join(OUT_DIR, \"train_sample_10.csv\")\n", "train_sample[[\n", " \"msg_id\", \"post_date\", \"post_url\", \"post_text\",\n", " \"sentiment_label\", \"sentiment_index\", \"pred_entities_top\"\n", "]].to_csv(sample_path, index=False)\n", "\n", "print(\"Сохранено:\", sample_path)\n", "train_sample[[\n", " \"msg_id\", \"post_date\", \"post_text\",\n", " \"sentiment_label\", \"sentiment_index\", \"pred_entities_top\"\n", "]]" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 765 }, "id": "cPufmzJvrmhR", "outputId": "7682c852-741c-4407-b047-62f2f87e622e" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Сохранено: /content/drive/MyDrive/practice_19_20_linuxos_tg/outputs/train_sample_10.csv\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ " msg_id post_date \\\n", "0 63 2025-04-11T12:07:00+00:00 \n", "1 335 2025-08-09T15:07:02+00:00 \n", "2 609 2025-11-29T05:49:29+00:00 \n", "3 358 2025-08-17T16:07:03+00:00 \n", "4 124 2025-05-16T10:26:02+00:00 \n", "5 405 2025-09-07T15:17:00+00:00 \n", "6 23 2025-03-29T10:44:55+00:00 \n", "7 853 2026-03-18T10:47:04+00:00 \n", "8 811 2026-02-22T13:33:09+00:00 \n", "9 27 2025-03-31T10:07:00+00:00 \n", "\n", " post_text sentiment_label \\\n", "0 Поддержка Windows 10 завершится менее чем чере... negative \n", "1 В копилку годных тренажёров: CMD Challenge\\n ... negative \n", "2 В сети показали как выглядят линуксоиды, пытаю... negative \n", "3 Простая наглядная иллюстрация разницы между ch... negative \n", "4 Windows 11 и Red Hat Linux взломаны в первый д... negative \n", "5 Быстрый совет по Linux\\n\\nТы, вероятно, исполь... negative \n", "6 Быстрый совет по Linux\\n\\nЕсли вы хотите удали... positive \n", "7 Итак, началось.\\n\\nПроект ArchLinux 32 огранич... neutral \n", "8 На вкус как Linux\\n\\n@linuxos_tg negative \n", "9 Введите в вашем терминале эту команду:\\n\\nwatc... positive \n", "\n", " sentiment_index pred_entities_top \n", "0 -0.992427 [windows 10] \n", "1 -0.992408 [cmd challenge] \n", "2 -0.992402 [nvidia] \n", "3 -0.992410 [] \n", "4 -0.683294 [windows 11, red hat linux, pwn2own, pwn2own b... \n", "5 -0.992413 [] \n", "6 0.975550 [] \n", "7 0.098202 [бразилии, archlinux, сша] \n", "8 -0.992411 [] \n", "9 0.987339 [gpu, wi - fi, nvme ssd] " ], "text/html": [ "\n", "
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msg_idpost_datepost_textsentiment_labelsentiment_indexpred_entities_top
0632025-04-11T12:07:00+00:00Поддержка Windows 10 завершится менее чем чере...negative-0.992427[windows 10]
13352025-08-09T15:07:02+00:00В копилку годных тренажёров: CMD Challenge\\n ...negative-0.992408[cmd challenge]
26092025-11-29T05:49:29+00:00В сети показали как выглядят линуксоиды, пытаю...negative-0.992402[nvidia]
33582025-08-17T16:07:03+00:00Простая наглядная иллюстрация разницы между ch...negative-0.992410[]
41242025-05-16T10:26:02+00:00Windows 11 и Red Hat Linux взломаны в первый д...negative-0.683294[windows 11, red hat linux, pwn2own, pwn2own b...
54052025-09-07T15:17:00+00:00Быстрый совет по Linux\\n\\nТы, вероятно, исполь...negative-0.992413[]
6232025-03-29T10:44:55+00:00Быстрый совет по Linux\\n\\nЕсли вы хотите удали...positive0.975550[]
78532026-03-18T10:47:04+00:00Итак, началось.\\n\\nПроект ArchLinux 32 огранич...neutral0.098202[бразилии, archlinux, сша]
88112026-02-22T13:33:09+00:00На вкус как Linux\\n\\n@linuxos_tgnegative-0.992411[]
9272025-03-31T10:07:00+00:00Введите в вашем терминале эту команду:\\n\\nwatc...positive0.987339[gpu, wi - fi, nvme ssd]
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"]]\",\n \"rows\": 10,\n \"fields\": [\n {\n \"column\": \"msg_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 312,\n \"min\": 23,\n \"max\": 853,\n \"num_unique_values\": 10,\n \"samples\": [\n 811,\n 335,\n 405\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"post_date\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 10,\n \"samples\": [\n \"2026-02-22T13:33:09+00:00\",\n \"2025-08-09T15:07:02+00:00\",\n \"2025-09-07T15:17:00+00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"post_text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 10,\n \"samples\": [\n \"\\u041d\\u0430 \\u0432\\u043a\\u0443\\u0441 \\u043a\\u0430\\u043a Linux\\n\\n@linuxos_tg\",\n \"\\u0412 \\u043a\\u043e\\u043f\\u0438\\u043b\\u043a\\u0443 \\u0433\\u043e\\u0434\\u043d\\u044b\\u0445 \\u0442\\u0440\\u0435\\u043d\\u0430\\u0436\\u0451\\u0440\\u043e\\u0432: CMD Challenge\\n \\n\\u0418\\u043d\\u0442\\u0435\\u0440\\u0430\\u043a\\u0442\\u0438\\u0432\\u043d\\u0430\\u044f \\u043f\\u043b\\u0430\\u0442\\u0444\\u043e\\u0440\\u043c\\u0430, \\u0433\\u0434\\u0435 \\u0432\\u044b \\u0440\\u0435\\u0448\\u0430\\u0435\\u0442\\u0435 \\u0437\\u0430\\u0434\\u0430\\u0447\\u043a\\u0438 \\u043f\\u0440\\u044f\\u043c\\u043e \\u0432 \\u0431\\u0440\\u0430\\u0443\\u0437\\u0435\\u0440\\u0435, \\u0432\\u0432\\u043e\\u0434\\u044f \\u043e\\u0434\\u043d\\u043e\\u0441\\u0442\\u0440\\u043e\\u0447\\u043d\\u044b\\u0435 \\u043a\\u043e\\u043c\\u0430\\u043d\\u0434\\u044b \\u0432 \\u044d\\u043c\\u0443\\u043b\\u044f\\u0442\\u043e\\u0440 \\u0442\\u0435\\u0440\\u043c\\u0438\\u043d\\u0430\\u043b\\u0430\\n\\n\\u0412\\u0441\\u0451 \\u0441 \\u043c\\u0433\\u043d\\u043e\\u0432\\u0435\\u043d\\u043d\\u043e\\u0439 \\u043f\\u0440\\u043e\\u0432\\u0435\\u0440\\u043a\\u043e\\u0439, \\u0430 \\u0435\\u0441\\u043b\\u0438 \\u0437\\u0430\\u0441\\u0442\\u0440\\u044f\\u043b\\u0438 \\u043c\\u043e\\u0436\\u043d\\u043e \\u043f\\u043e\\u0434\\u0441\\u043c\\u043e\\u0442\\u0440\\u0435\\u0442\\u044c \\u0433\\u043e\\u0442\\u043e\\u0432\\u043e\\u0435 \\u0440\\u0435\\u0448\\u0435\\u043d\\u0438\\u0435\\n\\n\\u0414\\u043b\\u044f \\u0445\\u0430\\u0440\\u0434\\u043a\\u043e\\u0440\\u0449\\u0438\\u043a\\u043e\\u0432 \\u0435\\u0441\\u0442\\u044c \\u0443\\u0441\\u043b\\u043e\\u0436\\u043d\\u0451\\u043d\\u043d\\u044b\\u0435 \\u0432\\u0435\\u0440\\u0441\\u0438\\u0438 \\u043d\\u0430 \\u043f\\u043e\\u0434\\u0434\\u043e\\u043c\\u0435\\u043d\\u0430\\u0445: oops \\u0438 12days \\ud83d\\ude0f\\n\\n@linuxos_tg\",\n \"\\u0411\\u044b\\u0441\\u0442\\u0440\\u044b\\u0439 \\u0441\\u043e\\u0432\\u0435\\u0442 \\u043f\\u043e Linux\\n\\n\\u0422\\u044b, \\u0432\\u0435\\u0440\\u043e\\u044f\\u0442\\u043d\\u043e, \\u0438\\u0441\\u043f\\u043e\\u043b\\u044c\\u0437\\u0443\\u0435\\u0448\\u044c tail -f, \\u0447\\u0442\\u043e\\u0431\\u044b \\u0432 \\u0440\\u0435\\u0430\\u043b\\u044c\\u043d\\u043e\\u043c \\u0432\\u0440\\u0435\\u043c\\u0435\\u043d\\u0438 \\u0441\\u043c\\u043e\\u0442\\u0440\\u0435\\u0442\\u044c \\u043b\\u043e\\u0433\\u0438.\\n\\n\\u041d\\u043e \\u0435\\u0441\\u043b\\u0438 \\u0442\\u0435\\u0431\\u0435 \\u0431\\u043e\\u043b\\u044c\\u0448\\u0435 \\u043f\\u043e \\u0434\\u0443\\u0448\\u0435 \\u043a\\u043e\\u043c\\u0430\\u043d\\u0434\\u0430 less, \\u0435\\u0451 \\u0442\\u043e\\u0436\\u0435 \\u043c\\u043e\\u0436\\u043d\\u043e \\u0438\\u0441\\u043f\\u043e\\u043b\\u044c\\u0437\\u043e\\u0432\\u0430\\u0442\\u044c \\u0434\\u043b\\u044f \\u043f\\u0440\\u043e\\u0441\\u043c\\u043e\\u0442\\u0440\\u0430 \\u043b\\u043e\\u0433\\u043e\\u0432 \\u0432 \\u0440\\u0435\\u0430\\u043b\\u044c\\u043d\\u043e\\u043c \\u0432\\u0440\\u0435\\u043c\\u0435\\u043d\\u0438:\\n\\nless +F filename\\n\\n@linuxos_tg\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"sentiment_label\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"negative\",\n \"positive\",\n \"neutral\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"sentiment_index\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.8311814585744735,\n \"min\": -0.9924265700392425,\n \"max\": 0.9873385743703693,\n \"num_unique_values\": 10,\n \"samples\": [\n -0.9924109715502709,\n -0.992407941725105,\n -0.9924133652821183\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"pred_entities_top\",\n \"properties\": {\n \"dtype\": \"object\",\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 11 } ] }, { "cell_type": "code", "source": [ "ALLOWED_SENTIMENTS = {\"positive\", \"negative\", \"neutral\"}\n", "\n", "true_sentiments = []\n", "true_entities = []\n", "\n", "for i, row in train_sample.iterrows():\n", " print(\"=\" * 100)\n", " print(f\"[{i+1}/{len(train_sample)}] {row['post_date']}\")\n", " print(\"URL:\", row[\"post_url\"])\n", " print(\"\\nТЕКСТ:\")\n", " txt = str(row[\"post_text\"])\n", " print(txt[:1200] + (\"...\" if len(txt) > 1200 else \"\"))\n", "\n", " print(\"\\nPRED sentiment:\", row[\"sentiment_label\"])\n", " print(\"PRED entities:\", row[\"pred_entities_top\"])\n", "\n", " s = input(\"TRUE sentiment [positive/negative/neutral] (Enter = prediction): \").strip().lower()\n", " if s == \"\":\n", " s = str(row[\"sentiment_label\"]).strip().lower()\n", " while s not in ALLOWED_SENTIMENTS:\n", " s = input(\"Введите только positive / negative / neutral: \").strip().lower()\n", "\n", " ent_raw = input(\"TRUE entities через ';' (Enter = prediction): \").strip()\n", " if ent_raw == \"\":\n", " ents = row[\"pred_entities_top\"] if isinstance(row[\"pred_entities_top\"], list) else []\n", " else:\n", " ents = [clean_entity(x) for x in ent_raw.split(\";\") if clean_entity(x)]\n", "\n", " true_sentiments.append(s)\n", " true_entities.append(ents)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "-dtsSx09r8zf", "outputId": "d2fe5f20-e35a-444f-c289-a30689d98910" }, "execution_count": null, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "====================================================================================================\n", "[1/10] 2025-04-11T12:07:00+00:00\n", "URL: https://t.me/linuxos_tg/63\n", "\n", "ТЕКСТ:\n", "Поддержка Windows 10 завершится менее чем через 200 дней\n", "\n", "Добро пожаловать в клуб бессмертных 😎\n", "\n", "@linuxos_tg\n", "\n", "PRED sentiment: negative\n", "PRED entities: ['windows 10']\n", "TRUE sentiment [positive/negative/neutral] (Enter = prediction): neutral\n", "TRUE entities через ';' (Enter = prediction): Windows 10\n", "====================================================================================================\n", "[2/10] 2025-08-09T15:07:02+00:00\n", "URL: https://t.me/linuxos_tg/335\n", "\n", "ТЕКСТ:\n", "В копилку годных тренажёров: CMD Challenge\n", " \n", "Интерактивная платформа, где вы решаете задачки прямо в браузере, вводя однострочные команды в эмулятор терминала\n", "\n", "Всё с мгновенной проверкой, а если застряли можно подсмотреть готовое решение\n", "\n", "Для хардкорщиков есть усложнённые версии на поддоменах: oops и 12days 😏\n", "\n", "@linuxos_tg\n", "\n", "PRED sentiment: negative\n", "PRED entities: ['cmd challenge']\n", "TRUE sentiment [positive/negative/neutral] (Enter = prediction): positive\n", "TRUE entities через ';' (Enter = prediction): CMD Challenge\n", "====================================================================================================\n", "[3/10] 2025-11-29T05:49:29+00:00\n", "URL: https://t.me/linuxos_tg/609\n", "\n", "ТЕКСТ:\n", "В сети показали как выглядят линуксоиды, пытающиеся установить драйверы NVIDIA\n", "\n", "@linuxos_tg\n", "\n", "PRED sentiment: negative\n", "PRED entities: ['nvidia']\n", "TRUE sentiment [positive/negative/neutral] (Enter = prediction): neutral\n", "TRUE entities через ';' (Enter = prediction): \n", "====================================================================================================\n", "[4/10] 2025-08-17T16:07:03+00:00\n", "URL: https://t.me/linuxos_tg/358\n", "\n", "ТЕКСТ:\n", "Простая наглядная иллюстрация разницы между chown и chmod 777\n", "\n", "@linuxos_tg\n", "\n", "PRED sentiment: negative\n", "PRED entities: []\n", "TRUE sentiment [positive/negative/neutral] (Enter = prediction): neutral\n", "TRUE entities через ';' (Enter = prediction): chown; chmod 777\n", "====================================================================================================\n", "[5/10] 2025-05-16T10:26:02+00:00\n", "URL: https://t.me/linuxos_tg/124\n", "\n", "ТЕКСТ:\n", "Windows 11 и Red Hat Linux взломаны в первый день Pwn2Own\n", "\n", "На старте Pwn2Own Berlin 2025 исследователи по безопасности заработали $260,000, показав zero-day атаки на Windows 11, Red Hat Linux и Oracle VirtualBox.\n", "\n", "Red Hat Enterprise Linux пал первым. Команда DEVCORE пробила его через переполнение целого числа (integer overflow) — $20,000 в карман.\n", "\n", "Ещё один взлом Red Hat сделали Hyunwoo Kim и Wongi Lee — связка use-after-free + утечка данных. Правда, одна из уязвимостей была уже известна (N-day), награду урезали.\n", "\n", "Windows 11 взломали трижды, каждый раз с SYSTEM-доступом:\n", "– через use-after-free + integer overflow,\n", "– через запись за границей буфера (out-of-bounds write),\n", "– и через путаницу типов (type confusion). \n", "\n", "Команда Prison Break получила $40,000 за взлом VirtualBox — использовали переполнение целого, чтобы выйти из виртуалки и исполнить код на хосте.\n", "\n", "Sina Kheirkhah забрал $35,000 за связку: 0day в Chroma + старая уязвимость в Nvidia Triton.\n", "\n", "А Billy и Ramdhan из STARLabs SG взяли $60,000 за эскейп из Docker Desktop и выполнение кода на хост-системе с помощью use-after-free уязвимости нулевого дня\n", "\n", "Pwn2Own проходит в рамках OffensiveCon в Берлине (15–17 мая). На второй день ...\n", "\n", "PRED sentiment: negative\n", "PRED entities: ['windows 11', 'red hat linux', 'pwn2own', 'pwn2own berlin 2025', 'oracle virtualbox']\n", "TRUE sentiment [positive/negative/neutral] (Enter = prediction): neutral\n", "TRUE entities через ';' (Enter = prediction): Windows 11; Red Hat Linux; Pwn2Own; Pwn2Own Berlin 2025; Oracle VirtualBox; Red Hat Enterprise Linux; DEVCORE; Hyunwoo Kim; Wongi Lee; Prison Break; Chroma; Nvidia Triton; Billy; Ramdhan; STARLabs SG; Docker Desktop; OffensiveCon; Берлин\n", "====================================================================================================\n", "[6/10] 2025-09-07T15:17:00+00:00\n", "URL: https://t.me/linuxos_tg/405\n", "\n", "ТЕКСТ:\n", "Быстрый совет по Linux\n", "\n", "Ты, вероятно, используешь tail -f, чтобы в реальном времени смотреть логи.\n", "\n", "Но если тебе больше по душе команда less, её тоже можно использовать для просмотра логов в реальном времени:\n", "\n", "less +F filename\n", "\n", "@linuxos_tg\n", "\n", "PRED sentiment: negative\n", "PRED entities: []\n", "TRUE sentiment [positive/negative/neutral] (Enter = prediction): neutral\n", "TRUE entities через ';' (Enter = prediction): Linux; tail -f; less\n", "====================================================================================================\n", "[7/10] 2025-03-29T10:44:55+00:00\n", "URL: https://t.me/linuxos_tg/23\n", "\n", "ТЕКСТ:\n", "Быстрый совет по Linux\n", "\n", "Если вы хотите удалить пустые директории, команда find может упростить задачу:\n", "\n", "$ find . -type d -empty -exec rmdir -v {} +\n", "Опция -type d ищет директории, -empty выбирает пустые, а -exec rmdir {} выполняет команду rmdir, чтобы удалить их.\n", "\n", "Команда rmdir гарантирует, что директория пуста, прежде чем удалить её.\n", "\n", "Альтернативно, вы можете использовать эту команду для выполнения той же задачи:\n", "\n", "$ find . -type d -empty -delete\n", "\n", "@linuxos_tg\n", "\n", "PRED sentiment: positive\n", "PRED entities: []\n", "TRUE sentiment [positive/negative/neutral] (Enter = prediction): neutral\n", "TRUE entities через ';' (Enter = prediction): Linux; find; rmdir\n", "====================================================================================================\n", "[8/10] 2026-03-18T10:47:04+00:00\n", "URL: https://t.me/linuxos_tg/853\n", "\n", "ТЕКСТ:\n", "Итак, началось.\n", "\n", "Проект ArchLinux 32 ограничил доступ для пользователей из Бразилии.\n", "\n", "Это связано с недавно принятым в Бразилии законом, который требует проверки возраста на уровне операционной системы.\n", "\n", "Но это скорее костыль, если это вообще можно так назвать, а не полноценное решение.\n", "\n", "Всё больше штатов США предлагают законы о проверке возраста на уровне ОС.\n", "\n", "Что дальше? Начнут ли дистрибутивы Linux тоже ограничивать доступ к своим веб-ресурсам в этих штатах?\n", "\n", "@linuxos_tg\n", "\n", "PRED sentiment: neutral\n", "PRED entities: ['бразилии', 'archlinux', 'сша']\n", "TRUE sentiment [positive/negative/neutral] (Enter = prediction): negative\n", "TRUE entities через ';' (Enter = prediction): ArchLinux 32; Бразилия; США\n", "====================================================================================================\n", "[9/10] 2026-02-22T13:33:09+00:00\n", "URL: https://t.me/linuxos_tg/811\n", "\n", "ТЕКСТ:\n", "На вкус как Linux\n", "\n", "@linuxos_tg\n", "\n", "PRED sentiment: negative\n", "PRED entities: []\n", "TRUE sentiment [positive/negative/neutral] (Enter = prediction): neutral\n", "TRUE entities через ';' (Enter = prediction): \n", "====================================================================================================\n", "[10/10] 2025-03-31T10:07:00+00:00\n", "URL: https://t.me/linuxos_tg/27\n", "\n", "ТЕКСТ:\n", "Введите в вашем терминале эту команду:\n", "\n", "watch -d -n 1 sensors\n", "\n", "Это отображает данные о температуре CPU, GPU, Wi-Fi, NVMe SSD и HDD в реальном времени. \n", "\n", "Подробнее: https://cyberciti.biz/faq/howto-linux-get-sensors-information/\n", "\n", "@linuxos_tg\n", "\n", "PRED sentiment: positive\n", "PRED entities: ['gpu', 'wi - fi', 'nvme ssd']\n", "TRUE sentiment [positive/negative/neutral] (Enter = prediction): neutral\n", "TRUE entities через ';' (Enter = prediction): CPU; GPU; Wi-Fi; NVMe SSD; HDD\n" ] } ] }, { "cell_type": "code", "source": [ "pred_sentiments = [str(x).strip().lower() for x in train_sample[\"sentiment_label\"].tolist()]\n", "\n", "sentiment_acc = float(np.mean([a == b for a, b in zip(true_sentiments, pred_sentiments)]))\n", "\n", "def norm_set(lst):\n", " return set(clean_entity(x) for x in (lst or []) if clean_entity(x))\n", "\n", "tp = fp = fn = 0\n", "for gt, pr in zip(true_entities, train_sample[\"pred_entities_top\"].tolist()):\n", " gt_s = norm_set(gt)\n", " pr_s = norm_set(pr if isinstance(pr, list) else [])\n", " tp += len(gt_s & pr_s)\n", " fp += len(pr_s - gt_s)\n", " fn += len(gt_s - pr_s)\n", "\n", "precision = tp / (tp + fp + 1e-9)\n", "recall = tp / (tp + fn + 1e-9)\n", "f1 = 2 * precision * recall / (precision + recall + 1e-9)\n", "\n", "print(\"Sentiment accuracy:\", round(sentiment_acc, 3))\n", "print(\"Entities precision:\", round(float(precision), 3))\n", "print(\"Entities recall :\", round(float(recall), 3))\n", "print(\"Entities F1 :\", round(float(f1), 3))\n", "\n", "metrics_path = os.path.join(OUT_DIR, \"manual_eval_metrics.txt\")\n", "with open(metrics_path, \"w\", encoding=\"utf-8\") as f:\n", " f.write(f\"Sentiment accuracy: {sentiment_acc:.3f}\\n\")\n", " f.write(f\"Entities precision: {precision:.3f}\\n\")\n", " f.write(f\"Entities recall: {recall:.3f}\\n\")\n", " f.write(f\"Entities F1: {f1:.3f}\\n\")\n", "\n", "print(\"Метрики сохранены:\", metrics_path)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "q091acVYsCQi", "outputId": "f8a34cd7-a1a1-4891-8a6d-19647999bc56" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Sentiment accuracy: 0.0\n", "Entities precision: 0.786\n", "Entities recall : 0.297\n", "Entities F1 : 0.431\n", "Метрики сохранены: /content/drive/MyDrive/practice_19_20_linuxos_tg/outputs/manual_eval_metrics.txt\n" ] } ] }, { "cell_type": "code", "source": [ "import matplotlib.pyplot as plt\n", "\n", "sent_df = pd.read_sql_query(\"\"\"\n", "SELECT m.post_date, a.sentiment_index\n", "FROM telegram_messages m\n", "JOIN analysis_results a ON m.msg_id = a.msg_id\n", "ORDER BY m.post_date ASC\n", "\"\"\", engine)\n", "\n", "sent_df[\"post_date\"] = pd.to_datetime(sent_df[\"post_date\"], utc=True)\n", "sent_df[\"month\"] = sent_df[\"post_date\"].dt.tz_convert(None).dt.to_period(\"M\").dt.to_timestamp()\n", "\n", "monthly_sent = sent_df.groupby(\"month\")[\"sentiment_index\"].mean().reset_index()\n", "\n", "plt.figure(figsize=(12, 5))\n", "plt.plot(monthly_sent[\"month\"], monthly_sent[\"sentiment_index\"], marker=\"o\")\n", "plt.title(\"Средний индекс тональности по месяцам\")\n", "plt.xlabel(\"Месяц\")\n", "plt.ylabel(\"Sentiment index = P(positive) - P(negative)\")\n", "plt.grid(alpha=0.3)\n", "plt.tight_layout()\n", "\n", "plot1 = os.path.join(PLOTS_DIR, \"sentiment_index_monthly.png\")\n", "plt.savefig(plot1, dpi=200)\n", "plt.show()\n", "\n", "print(\"Сохранено:\", plot1)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 359 }, "id": "ZqfY3XipsDv_", "outputId": "bdd80b70-ef3d-4a66-cc66-1ee07bfd2e5a" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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}, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Сохранено: /content/drive/MyDrive/practice_19_20_linuxos_tg/outputs/plots/sentiment_index_monthly.png\n" ] } ] }, { "cell_type": "code", "source": [ "entity_df = pd.read_sql_query(\"\"\"\n", "SELECT m.post_date, a.entities_json\n", "FROM telegram_messages m\n", "JOIN analysis_results a ON m.msg_id = a.msg_id\n", "WHERE m.post_text <> '[MEDIA]'\n", "ORDER BY m.post_date ASC\n", "\"\"\", engine)\n", "\n", "entity_df[\"post_date\"] = pd.to_datetime(entity_df[\"post_date\"], utc=True)\n", "\n", "records = []\n", "\n", "for row in entity_df.itertuples(index=False):\n", " try:\n", " ents = json.loads(row.entities_json)\n", " except Exception:\n", " ents = []\n", "\n", " month = row.post_date.tz_convert(None).to_period(\"M\").to_timestamp()\n", "\n", " for e in ents:\n", " name = clean_entity(e.get(\"text\", \"\"))\n", " if name and name not in STOP_ENTITIES:\n", " records.append({\n", " \"month\": month,\n", " \"entity\": name\n", " })\n", "\n", "ents_flat = pd.DataFrame(records)\n", "\n", "print(\"Всего найдено сущностей:\", len(ents_flat))\n", "ents_flat.head()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 224 }, "id": "RJUQGeDcsFCY", "outputId": "24560193-ecfb-4c66-aa3e-4e9a4efcdef6" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Всего найдено сущностей: 1844\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ " month entity\n", "0 2025-02-01 awesome linux software\n", "1 2025-02-01 apache\n", "2 2025-02-01 apache\n", "3 2025-02-01 apache\n", "4 2025-02-01 nginx" ], "text/html": [ "\n", "
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "ents_flat", "summary": "{\n \"name\": \"ents_flat\",\n \"rows\": 1844,\n \"fields\": [\n {\n \"column\": \"month\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2025-02-01 00:00:00\",\n \"max\": \"2026-04-01 00:00:00\",\n \"num_unique_values\": 15,\n \"samples\": [\n \"2025-11-01 00:00:00\",\n \"2026-01-01 00:00:00\",\n \"2025-02-01 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"entity\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 805,\n \"samples\": [\n \"openstack\",\n \"tanix\",\n \"xpad\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 15 } ] }, { "cell_type": "code", "source": [ "top10 = ents_flat[\"entity\"].value_counts().head(10)\n", "\n", "plt.figure(figsize=(12, 5))\n", "plt.bar(top10.index, top10.values)\n", "plt.title(\"Топ-10 самых частых сущностей\")\n", "plt.xlabel(\"Сущность\")\n", "plt.ylabel(\"Количество упоминаний\")\n", "plt.xticks(rotation=45, ha=\"right\")\n", "plt.tight_layout()\n", "\n", "plot2 = os.path.join(PLOTS_DIR, \"top10_entities_bar.png\")\n", "plt.savefig(plot2, dpi=200)\n", "plt.show()\n", "\n", "print(\"Сохранено:\", plot2)\n", "top10" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 771 }, "id": "aZS1hRHWsGRP", "outputId": "029c97fa-7e58-4905-f038-b84e1689ee10" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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}, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Сохранено: /content/drive/MyDrive/practice_19_20_linuxos_tg/outputs/plots/top10_entities_bar.png\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ "entity\n", "rust 73\n", "ubuntu 70\n", "linuxos 56\n", "wayland 46\n", "gnome 40\n", "windows 38\n", "github 31\n", "xorg 25\n", "kde 23\n", "microsoft 21\n", "Name: count, dtype: int64" ], "text/html": [ "
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" ] }, "metadata": {}, "execution_count": 16 } ] }, { "cell_type": "code", "source": [ "top10_names = top10.index.tolist()\n", "\n", "monthly_top10 = (\n", " ents_flat[ents_flat[\"entity\"].isin(top10_names)]\n", " .groupby([\"month\", \"entity\"])\n", " .size()\n", " .unstack(fill_value=0)\n", " .sort_index()\n", ")\n", "\n", "plt.figure(figsize=(13, 6))\n", "for col in monthly_top10.columns:\n", " plt.plot(monthly_top10.index, monthly_top10[col], label=col)\n", "\n", "plt.title(\"Динамика встречаемости топ-10 сущностей по месяцам\")\n", "plt.xlabel(\"Месяц\")\n", "plt.ylabel(\"Количество упоминаний\")\n", "plt.legend(bbox_to_anchor=(1.02, 1), loc=\"upper left\")\n", "plt.grid(alpha=0.3)\n", "plt.tight_layout()\n", "\n", "plot3 = os.path.join(PLOTS_DIR, \"top10_entities_monthly.png\")\n", "plt.savefig(plot3, dpi=200)\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 394 }, "id": "q4Pd81xJsHaA", "outputId": "64e16363-9e51-48ed-e65b-7f411f7bf6b5" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Сохранено: /content/drive/MyDrive/practice_19_20_linuxos_tg/outputs/plots/top10_entities_monthly.png\n" ] } ] }, { "cell_type": "markdown", "source": [ "В ходе работы был выполнен анализ публикаций Telegram-канала @linuxos_tg с помощью моделей обработки текста. В Google Colab был реализован сбор постов с 1 января 2025 года, сохранение данных в SQLite, анализ тональности и извлечение сущностей, а также построение графиков.\n", "\n", "Таким образом, цель работы была достигнута. Наиболее информативной задачей для данного канала оказалось извлечение сущностей, а для повышения качества анализа тональности требуется более подходящая модель." ], "metadata": { "id": "_HyxsqKuuOeO" } } ] }