Torrent_To_Google_Drive_Downloader.ipynb

torrent_to_google_drive_downloader.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/shadow-prince/b1419486762815f515212b304bbd3504/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": "aQuWDmfm9YOi",
        "colab_type": "text"
      },
      "source": [
        "# Torrent To Google Drive Downloader "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qYk44mBwJf6E",
        "colab_type": "text"
      },
      "source": [
        "**Important Note:** To get more disk space:\n",
        "> Go to Runtime -> Change Runtime and give GPU as the Hardware Accelerator.  You will get around 384GB to download any torrent you want."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NaFa7M-e9YOr",
        "colab_type": "text"
      },
      "source": [
        "### Install libtorrent and Initialize Session"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "m6hF0emftx4h",
        "outputId": "344c6ae9-07db-4def-cfe2-91c4fb3e56c5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 496
        }
      },
      "source": [
        "!apt install python3-libtorrent\n",
        "\n",
        "import libtorrent as lt\n",
        "\n",
        "ses = lt.session()\n",
        "ses.listen_on(6881, 6891)\n",
        "downloads = []"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "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 29 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 1s (1,121 kB/s)\n",
            "Selecting previously unselected package libtorrent-rasterbar9.\n",
            "(Reading database ... 144429 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) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/python3.6/dist-packages/ideep4py/lib/libmkldnn.so.0 is not a symbolic link\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Uf90U73y9YOj",
        "colab_type": "text"
      },
      "source": [
        "### Mount Google Drive\n",
        "To stream files we need to mount Google Drive."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "oWM9l2fvtuvO",
        "outputId": "eff094fa-f592-4291-b328-6b7b681cb8e9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 125
        }
      },
      "source": [
        "from google.colab import drive\n",
        "\n",
        "drive.mount(\"/content/drive\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&response_type=code&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "R_1XuuIf9YOn",
        "colab_type": "text"
      },
      "source": [
        "### Add From Torrent File\n",
        "You can run this cell to add more files as many times as you want"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "0et2A6N3udA0",
        "colab": {}
      },
      "source": [
        "from google.colab import files\n",
        "\n",
        "source = files.upload()\n",
        "params = {\n",
        "    \"save_path\": \"/content/drive/My Drive/Torrent\",\n",
        "    \"ti\": lt.torrent_info(list(source.keys())[0]),\n",
        "}\n",
        "downloads.append(ses.add_torrent(params))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WD-6M6eZyzmj",
        "colab_type": "text"
      },
      "source": [
        "### Add From Magnet Link\n",
        "You can run this cell to add more files as many times as you want"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Cwi1GMlxy3te",
        "colab_type": "code",
        "outputId": "d517ecb8-a2a9-40c9-854e-c9dda612f729",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 72
        }
      },
      "source": [
        "params = {\"save_path\": \"/content/drive/My Drive/Torrent\"}\n",
        "\n",
        "while True:\n",
        "    magnet_link = input(\"Enter Magnet Link Or Type Exit: \")\n",
        "    if magnet_link.lower() == \"exit\":\n",
        "        break\n",
        "    downloads.append(\n",
        "        lt.add_magnet_uri(ses, magnet_link, params)\n",
        "    )\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Enter Magnet Link Or Type Exit: magnet:?xt=urn:btih:9d0caf1c62a668412fe4aaf93751c0c30d4b6fbc&tr=udp://tracker.openbittorrent.com:80&tr=udp://tracker.publicbt.com:80&tr=udp://tracker.ccc.de:80\n",
            "Enter Magnet Link Or Type Exit: exit\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m-a1CUP39YOu",
        "colab_type": "text"
      },
      "source": [
        "### Start Download\n",
        "Source: https://stackoverflow.com/a/5494823/7957705 and [#3 issue](https://github.com/FKLC/Torrent-To-Google-Drive-Downloader/issues/3) which refers to this [stackoverflow question](https://stackoverflow.com/a/6053350/7957705)"
      ]
    },
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      "source": [
        "import time\n",
        "from IPython.display import display\n",
        "import ipywidgets as widgets\n",
        "\n",
        "state_str = [\n",
        "    \"queued\",\n",
        "    \"checking\",\n",
        "    \"downloading metadata\",\n",
        "    \"downloading\",\n",
        "    \"finished\",\n",
        "    \"seeding\",\n",
        "    \"allocating\",\n",
        "    \"checking fastresume\",\n",
        "]\n",
        "\n",
        "layout = widgets.Layout(width=\"auto\")\n",
        "style = {\"description_width\": \"initial\"}\n",
        "download_bars = [\n",
        "    widgets.FloatSlider(\n",
        "        step=0.01, disabled=True, layout=layout, style=style\n",
        "    )\n",
        "    for _ in downloads\n",
        "]\n",
        "display(*download_bars)\n",
        "\n",
        "while downloads:\n",
        "    next_shift = 0\n",
        "    for index, download in enumerate(downloads[:]):\n",
        "        bar = download_bars[index + next_shift]\n",
        "        if not download.is_seed():\n",
        "            s = download.status()\n",
        "\n",
        "            bar.description = \" \".join(\n",
        "                [\n",
        "                    download.name(),\n",
        "                    str(s.download_rate / 1000),\n",
        "                    \"kB/s\",\n",
        "                    state_str[s.state],\n",
        "                ]\n",
        "            )\n",
        "            bar.value = s.progress * 100\n",
        "        else:\n",
        "            next_shift -= 1\n",
        "            ses.remove_torrent(download)\n",
        "            downloads.remove(download)\n",
        "            bar.close() # Seems to be not working in Colab (see https://github.com/googlecolab/colabtools/issues/726#issue-486731758)\n",
        "            download_bars.remove(bar)\n",
        "            print(download.name(), \"complete\")\n",
        "    time.sleep(1)\n"
      ],
      "execution_count": 0,
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            "Avatar The Last Airbender Book 1,2,3[Water,Earth,Fire] Complete episods Salman Sk Silver RG complete\n"
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is there any way to use other clouds for this