download-file.ipynb

download-file.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyN662A/xeXZ6/h+AsmoXT1m",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/andilabs/95fe6dcd08b1906c1839c007de5722a4/download-file.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "8VwRQuML1oFE"
      },
      "outputs": [],
      "source": [
        "from google.colab import files\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "with open('export.csv', 'w') as F:\n",
        "  for i in range(100):\n",
        "    F.write(f'{i}\\n')"
      ],
      "metadata": {
        "id": "T4L8NWg21skC"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Preview the file"
      ],
      "metadata": {
        "id": "A3FRKI3Z3C3i"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "files.view('export.csv')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "m8sOGrxA3BH8",
        "outputId": "01842ce6-72f9-46f7-d909-8dcbecc5f88c"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "\n",
              "      ((filepath) => {{\n",
              "        if (!google.colab.kernel.accessAllowed) {{\n",
              "          return;\n",
              "        }}\n",
              "        google.colab.files.view(filepath);\n",
              "      }})(\"/content/export.csv\")"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Download the file"
      ],
      "metadata": {
        "id": "-vDeAJZ43EYu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "files.download('export.csv')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "id": "MAfZmAe61qvO",
        "outputId": "d1a14937-f384-4d30-dcf0-de5f31d86f42"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "download(\"download_e4b1238e-9baa-40e2-865a-27294759da86\", \"export.csv\", 290)"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "nAWzJjxK2kKH",
        "outputId": "b1c18744-13a4-4f87-c84f-d4c62fb79df3"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "\n",
              "      ((filepath) => {{\n",
              "        if (!google.colab.kernel.accessAllowed) {{\n",
              "          return;\n",
              "        }}\n",
              "        google.colab.files.view(filepath);\n",
              "      }})(\"/content/export.csv\")"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "53xyHm_V2nwf"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}