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NTT123/script-to-download-from-codesandbox.ipynb

Created November 25, 2018 06:51
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Script to download from Codesandbox
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script-to-download-from-codesandbox.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Script to download from Codesandbox",
"version": "0.3.2",
"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/gist/NTT123/71f553b688cd0abf791dea6eebfa1e95/script-to-download-from-codesandbox.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"metadata": {
"id": "GvoH2Or1bmiq",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"id = '92421y3q1r' # your code sandbox ID\n",
"root = '.' # current dir"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "LXJixdxCcuDM",
"colab_type": "code",
"cellView": "form",
"colab": {}
},
"cell_type": "code",
"source": [
"#@title Download source code\n",
"\n",
"import os \n",
"import requests\n",
"\n",
"# download json\n",
"r = requests.get(f'https://codesandbox.io/api/v1/sandboxes/{id}/')\n",
"open(id , 'wb').write(r.content)\n",
"\n",
"import json\n",
"\n",
"# parse json\n",
"dic = json.load(open(id, \"r\"))\n",
"os.remove(id)\n",
"\n",
"# tree of dirs\n",
"dir_tree = {}\n",
"for d in dic['data']['directories']:\n",
" father = d['directory_shortid']\n",
" name = d['title']\n",
" dirid = d['shortid']\n",
" \n",
" path = None\n",
" if father is None:\n",
" path = os.path.join(root, name)\n",
" \n",
" dir_tree[dirid] = [name, father, path]\n",
"\n",
"# compute paths\n",
"flag = True\n",
"while flag:\n",
" flag = False\n",
" \n",
" for k, v in dir_tree.items():\n",
" if v[2] is None:\n",
" if dir_tree[v[1]][2] is not None:\n",
" v[2] = os.path.join(dir_tree[v[1]][2], v[0])\n",
" \n",
" flag = True \n",
"\n",
"# mkdirs\n",
"for k, v in dir_tree.items():\n",
" try:\n",
" os.makedirs(v[2]) \n",
" except:\n",
" pass\n",
"\n",
"# create files\n",
"fs = []\n",
"for f in dic['data']['modules']:\n",
" txt = f['code']\n",
" father = f['directory_shortid']\n",
" \n",
" name = f['title']\n",
" \n",
" fs.append( (name, father, txt) )\n",
" \n",
" path = root\n",
" \n",
" if father is not None:\n",
" path = dir_tree[father][2]\n",
" \n",
" open(os.path.join(path, name), \"w\").write(txt) "
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "01NBo8w9imDk",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 355
},
"outputId": "dcb165aa-7a42-47c6-9bf6-357457d64a1d"
},
"cell_type": "code",
"source": [
"import main"
],
"execution_count": 3,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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i4cKFNZ87ffr0ms88ZcmSJdHd3V1s9vnmjjvuKDZ727ZtxeZ/+umnReYeP348xo4dW2z2\nUM4YzZUrV55+fOqkeaZgApzr/J4mQMIZT5p/9eSTT47mHgBnBSdNgATRBEgQTYAE0QRIEE2ABNEE\nSBBNgATRBEgQTYAE0QRIEE2ABNEESBBNgATRBEgQTYAE0QRIEE2ABNEESBBNgATRBEgQTYAE0QRI\nEE2ABNEESBBNgATRBEhoqFQqldJLAJwtnDQBEkQTIEE0ARJEEyBBNAESRBMg4T9kb/TLaSI8+AAA\nAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fc590dbf550>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "AkMZ6NN2j4rP",
"colab_type": "code",
"outputId": "86a9410c-f319-4fc1-9239-0f872adeebb6",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 355
}
},
"cell_type": "code",
"source": [
"from importlib import reload\n",
"main = reload(main)"
],
"execution_count": 4,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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bPZhzRvONN944+/GZk+a5gglwofM+TYCEc540/90TTzwxknsAnBecNAESRBMgQTQBEkQT\nIEE0ARJEEyBBNAESRBMgQTQBEkQTIEE0ARJEEyBBNAESRBMgQTQBEkQTIEE0ARJEEyBBNAESRBMg\nQTQBEkQTIEE0ARJEEyBBNAESRBMgoVKtVqullwA4XzhpAiSIJkCCaAIkiCZAgmgCJIgmQML/AXjF\n+qHiA0v3AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fc575be4710>"
]
},
"metadata": {
"tags": []
}
}
]
}
]
}
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