Torrent_to_Google_Drive_Downloader.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Torrent to Google Drive Downloader",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/robin98/T2GDriveDownloader/blob/main/Torrent_to_Google_Drive_Downloader.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tdA5uJLjLH6s"
      },
      "source": [
        "# Torrent to Google Drive Downloader"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Vtjdr_KuLDhm"
      },
      "source": [
        "### Mount Google Drive\n",
        "To stream files, we need to mount Google Drive."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FkIxwFhEKyht"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AFjfIfd_LPOV"
      },
      "source": [
        "### Dependency\n",
        "https://www.libtorrent.org"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OXKje70hLRBR",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1758acb4-2b8a-401e-a483-9df2f9653aeb"
      },
      "source": [
        "!python -m pip install --upgrade pip setuptools wheel && python -m pip install lbry-libtorrent && apt install python3-libtorrent"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: pip in /usr/local/lib/python3.7/dist-packages (21.1.3)\n",
            "Collecting pip\n",
            "  Downloading pip-22.0.4-py3-none-any.whl (2.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 2.1 MB 7.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: setuptools in /usr/local/lib/python3.7/dist-packages (57.4.0)\n",
            "Collecting setuptools\n",
            "  Downloading setuptools-62.1.0-py3-none-any.whl (1.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.1 MB 49.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: wheel in /usr/local/lib/python3.7/dist-packages (0.37.1)\n",
            "Installing collected packages: setuptools, pip\n",
            "  Attempting uninstall: setuptools\n",
            "    Found existing installation: setuptools 57.4.0\n",
            "    Uninstalling setuptools-57.4.0:\n",
            "      Successfully uninstalled setuptools-57.4.0\n",
            "  Attempting uninstall: pip\n",
            "    Found existing installation: pip 21.1.3\n",
            "    Uninstalling pip-21.1.3:\n",
            "      Successfully uninstalled pip-21.1.3\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "tensorflow 2.8.0 requires tf-estimator-nightly==2.8.0.dev2021122109, which is not installed.\n",
            "datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\u001b[0m\n",
            "Successfully installed pip-22.0.4 setuptools-62.1.0\n",
            "Collecting lbry-libtorrent\n",
            "  Downloading lbry_libtorrent-1.2.4-py3-none-any.whl (2.4 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.4/2.4 MB\u001b[0m \u001b[31m38.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: lbry-libtorrent\n",
            "Successfully installed lbry-libtorrent-1.2.4\n",
            "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "The following additional packages will be installed:\n",
            "  libtorrent-rasterbar9\n",
            "Suggested packages:\n",
            "  libtorrent-rasterbar-dbg\n",
            "The following NEW packages will be installed:\n",
            "  libtorrent-rasterbar9 python3-libtorrent\n",
            "0 upgraded, 2 newly installed, 0 to remove and 39 not upgraded.\n",
            "Need to get 1,569 kB of archives.\n",
            "After this operation, 5,718 kB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libtorrent-rasterbar9 amd64 1.1.5-1build1 [1,258 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu bionic/universe amd64 python3-libtorrent amd64 1.1.5-1build1 [310 kB]\n",
            "Fetched 1,569 kB in 2s (1,044 kB/s)\n",
            "Selecting previously unselected package libtorrent-rasterbar9.\n",
            "(Reading database ... 155455 files and directories currently installed.)\n",
            "Preparing to unpack .../libtorrent-rasterbar9_1.1.5-1build1_amd64.deb ...\n",
            "Unpacking libtorrent-rasterbar9 (1.1.5-1build1) ...\n",
            "Selecting previously unselected package python3-libtorrent.\n",
            "Preparing to unpack .../python3-libtorrent_1.1.5-1build1_amd64.deb ...\n",
            "Unpacking python3-libtorrent (1.1.5-1build1) ...\n",
            "Setting up libtorrent-rasterbar9 (1.1.5-1build1) ...\n",
            "Setting up python3-libtorrent (1.1.5-1build1) ...\n",
            "Processing triggers for libc-bin (2.27-3ubuntu1.3) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/python3.7/dist-packages/ideep4py/lib/libmkldnn.so.0 is not a symbolic link\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dM700Xs3LUaV"
      },
      "source": [
        "### Torrent Download\n",
        "Run this and input your torrent link."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sA6Us8NFLXAR",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "938d550d-5cf7-4614-c793-869a6c96f7f5"
      },
      "source": [
        "import libtorrent as lt\n",
        "import time\n",
        "import datetime\n",
        "\n",
        "ses = lt.session()\n",
        "ses.listen_on(6881, 6891)\n",
        "params = {\n",
        "    'save_path': '/content/drive/My Drive/Downloads/',\n",
        "    'storage_mode': lt.storage_mode_t(2),\n",
        "    }\n",
        "link = input(\"Input magnet or torrent link, then press enter: \")\n",
        "print(link)\n",
        "\n",
        "handle = lt.add_magnet_uri(ses, link, params)\n",
        "ses.start_dht()\n",
        "\n",
        "begin = time.time()\n",
        "print(datetime.datetime.now())\n",
        "\n",
        "print ('Downloading metadata . . .')\n",
        "while (not handle.has_metadata()):\n",
        "    time.sleep(1)\n",
        "print ('Metadata received. Starting torrent download . . .')\n",
        "\n",
        "print(\"Starting\", handle.name())\n",
        "\n",
        "while (handle.status().state != lt.torrent_status.seeding):\n",
        "    s = handle.status()\n",
        "    state_str = ['queued', 'checking', 'downloading metadata', \\\n",
        "            'downloading', 'finished', 'seeding', 'allocating']\n",
        "    print ('%.2f%% complete (down: %.1f KB/s up: %.1f KB/s peers: %d) %s ' % \\\n",
        "            (s.progress * 100, s.download_rate / 1000, s.upload_rate / 1000, \\\n",
        "            s.num_peers, state_str[s.state]))\n",
        "    time.sleep(5)\n",
        "\n",
        "end = time.time()\n",
        "print(handle.name(), \"completed\")\n",
        "\n",
        "print(\"Elapsed Time: \",int((end-begin)//60),\"min, \", int((end-begin)%60), \"sec\")\n",
        "\n",
        "print(datetime.datetime.now())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "magnet:?xt=urn:btih:D3FC7DAD8B6243C0F85DC87ACD6DF2F83CF10F4E&dn=jeen-yuhs+A+Kanye+Trilogy+%282022%29+Season+1+S01+%281080p+NF+WEB-DL+x265+HEVC+10bit+EAC3+5.1+t3nzin%29+%5BQxR%5D&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.openbittorrent.com%3A6969%2Fannounce&tr=udp%3A%2F%2Fexodus.desync.com%3A6969%2Fannounce&tr=udp%3A%2F%2Fwww.torrent.eu.org%3A451%2Fannounce&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&tr=udp%3A%2F%2Fopen.tracker.cl%3A1337%2Fannounce&tr=udp%3A%2F%2Fexplodie.org%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=http%3A%2F%2Ftracker.openbittorrent.com%3A80%2Fannounce&tr=udp%3A%2F%2Fopentracker.i2p.rocks%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.internetwarriors.net%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.leechers-paradise.org%3A6969%2Fannounce&tr=udp%3A%2F%2Fcoppersurfer.tk%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.zer0day.to%3A1337%2Fannounce\n",
            "2022-04-19 22:05:19.893256\n",
            "Downloading metadata . . .\n",
            "Metadata received. Starting torrent download . . .\n",
            "Starting jeen-yuhs A Kanye Trilogy (2022) Season 1 S01 (1080p NF WEB-DL x265 HEVC 10bit EAC3 5.1 t3nzin)\n",
            "0.85% complete (down: 37.2 KB/s up: 2.0 KB/s peers: 2) checking \n",
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            "jeen-yuhs A Kanye Trilogy (2022) Season 1 S01 (1080p NF WEB-DL x265 HEVC 10bit EAC3 5.1 t3nzin) completed\n",
            "Elapsed Time:  21 min,  44 sec\n",
            "2022-04-19 22:27:04.876580\n"
          ]
        }
      ]
    }
  ]
}