{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "custom_js = \"\"\"\n",
    "// nbextensions snippets menu customization.\n",
    "var json_data;\n",
    "$.getJSON( \"python_snippets.json\", function(data) {  \n",
    "    json_data = data;\n",
    "});\n",
    "\n",
    "require([\"nbextensions/snippets_menu/main\"], function (snippets_menu) {\n",
    "    console.log('Loading `snippets_menu` customizations from `custom.js`');\n",
    "    var horizontal_line = '---';\n",
    "    var snippets_json = json_data\n",
    "    snippets_menu.options['menus'] = snippets_menu.default_menus;\n",
    "    snippets_menu.options['menus'][0]['sub-menu'].push(horizontal_line);\n",
    "    snippets_menu.options['menus'][0]['sub-menu'].push(snippets_json);\n",
    "    console.log('Loaded `snippets_menu` customizations from `custom.js`');\n",
    "});\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import glob\n",
    "import re\n",
    "\n",
    "home = os.path.expanduser(\"~\")\n",
    "jupyter_home = os.path.join(home,'.jupyter')\n",
    "jupyter_custom = os.path.join(jupyter_home, 'custom')\n",
    "test_str = '// nbextensions snippets menu customization.'\n",
    "\n",
    "if 'custom' in os.listdir(jupyter_home):\n",
    "    file_names = list(os.walk(jupyter_custom))[0][-1]\n",
    "    custom_js_file = os.path.join(jupyter_custom,'custom.js')\n",
    "    if 'custom.js' in file_names:\n",
    "        # Get the contents of the custom.js file.\n",
    "        f = open(custom_js_file, 'r')\n",
    "        contents = f.read()\n",
    "        f.close()\n",
    "        # Test to see if the js code has been added.\n",
    "        if test_str in contents:\n",
    "            pass\n",
    "        # If the code hasn't been added then add it.\n",
    "        else:\n",
    "            f = open(custom_js_file, 'a+')\n",
    "            f.write(custom_js)\n",
    "            f.close()\n",
    "    # If there is not custom.js file create one and write code to it.\n",
    "    else:\n",
    "        f = open(custom_js_file, 'w')\n",
    "        f.write(custom_js)\n",
    "        f.close()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "ent =dict()\n",
    "ent['name'] = 'Boiler-plate'\n",
    "ent['snippet'] = ['import numpy as np','import pandas as pd']\n",
    "\n",
    "d = dict()\n",
    "d['name'] = 'Basic'\n",
    "d['sub-menu'] = [ent]\n",
    "\n",
    "json_file = json.dumps(d)\n",
    "\n",
    "# json_file_name = os.path.join(jupyter_custom, 'python_snippets.json')\n",
    "# f = open(json_file_name, 'w')\n",
    "\n",
    "f = open('python_snippets.json', 'w')\n",
    "f.write(json_file)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "// $.getJSON( \"json_practice.json\", function( data ) {  \n",
       "//     // console.log( \"JSON Data: \" + data);\n",
       "//     $.each( data, function( key, val ) {\n",
       "//         // console.log(key + \"value:: \" + val );\n",
       "//         var json_data = key + \"value:: \" + val;\n",
       "//         var cell = Jupyter.notebook.insert_cell_below('markdown');\n",
       "//         cell.set_text(data);\n",
       "//         cell.render();\n",
       "//     });\n",
       "// });"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%javascript\n",
    "\n",
    "// $.getJSON( \"json_practice.json\", function( data ) {  \n",
    "//     // console.log( \"JSON Data: \" + data);\n",
    "//     $.each( data, function( key, val ) {\n",
    "//         // console.log(key + \"value:: \" + val );\n",
    "//         var json_data = key + \"value:: \" + val;\n",
    "//         var cell = Jupyter.notebook.insert_cell_below('markdown');\n",
    "//         cell.set_text(data);\n",
    "//         cell.render();\n",
    "//     });\n",
    "// });\n",
    "\n",
    "\n",
    "// $.getJSON( \"json_practice.json\", function(data) {  \n",
    "//     console.log(data['name']);\n",
    "// });\n",
    "\n",
    "\n",
    "// var my_fav;\n",
    "// $.getJSON( \"json_practice.json\", function(data) {  \n",
    "//     my_fav = data;\n",
    "// });"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "// nbextensions snippets menu customization.\n",
       "var my_fav;\n",
       "$.getJSON( \"python_snippets.json\", function(data) {  \n",
       "    my_fav = data;\n",
       "});\n",
       "\n",
       "require([\"nbextensions/snippets_menu/main\"], function (snippets_menu) {\n",
       "    console.log('Loading `snippets_menu` customizations from `custom.js`');\n",
       "    var horizontal_line = '---';\n",
       "    var my_favorites = my_fav\n",
       "    snippets_menu.options['menus'] = snippets_menu.default_menus;\n",
       "    snippets_menu.options['menus'][0]['sub-menu'].push(horizontal_line);\n",
       "    snippets_menu.options['menus'][0]['sub-menu'].push(my_favorites);\n",
       "    console.log('Loaded `snippets_menu` customizations from `custom.js`');\n",
       "});"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%javascript\n",
    "// nbextensions snippets menu customization.\n",
    "var my_fav;\n",
    "$.getJSON( \"python_snippets.json\", function(data) {  \n",
    "    my_fav = data;\n",
    "});\n",
    "\n",
    "require([\"nbextensions/snippets_menu/main\"], function (snippets_menu) {\n",
    "    console.log('Loading `snippets_menu` customizations from `custom.js`');\n",
    "    var horizontal_line = '---';\n",
    "    var my_favorites = my_fav\n",
    "    snippets_menu.options['menus'] = snippets_menu.default_menus;\n",
    "    snippets_menu.options['menus'][0]['sub-menu'].push(horizontal_line);\n",
    "    snippets_menu.options['menus'][0]['sub-menu'].push(my_favorites);\n",
    "    console.log('Loaded `snippets_menu` customizations from `custom.js`');\n",
    "});\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "var ci = Jupyter.notebook.get_selected_cell().input;\n",
       "var txt = ci.contents()[1].innerText;\n",
       "console.log(txt);"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%javascript\n",
    "// Get the contents of your selected cell and loag it to console.\n",
    "var ci = Jupyter.notebook.get_selected_cell().input;\n",
    "var txt = ci.contents()[1].innerText;\n",
    "console.log(txt);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}