superdict.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Map(dict):\n",
    "    def __init__(self, *args, **kwargs):\n",
    "        super(Map, self).__init__(*args, **kwargs)\n",
    "        for arg in args:\n",
    "            if isinstance(arg, dict):\n",
    "                for k, v in arg.items():\n",
    "                    if isinstance(v, dict):\n",
    "                        v = Map(v)\n",
    "                    if isinstance(v, list):\n",
    "                        self.__convert(v)\n",
    "                    self[k] = v\n",
    "\n",
    "        if kwargs:\n",
    "            for k, v in kwargs.items():\n",
    "                if isinstance(v, dict):\n",
    "                    v = Map(v)\n",
    "                elif isinstance(v, list):\n",
    "                    self.__convert(v)\n",
    "                self[k] = v\n",
    "\n",
    "    def __convert(self, v):\n",
    "        for elem in range(0, len(v)):\n",
    "            if isinstance(v[elem], dict):\n",
    "                v[elem] = Map(v[elem])\n",
    "            elif isinstance(v[elem], list):\n",
    "                self.__convert(v[elem])\n",
    "\n",
    "    def __getattr__(self, attr):\n",
    "        return self.get(attr)\n",
    "\n",
    "    def __setattr__(self, key, value):\n",
    "        self.__setitem__(key, value)\n",
    "\n",
    "    def __setitem__(self, key, value):\n",
    "        super(Map, self).__setitem__(key, value)\n",
    "        self.__dict__.update({key: value})\n",
    "\n",
    "    def __delattr__(self, item):\n",
    "        self.__delitem__(item)\n",
    "\n",
    "    def __delitem__(self, key):\n",
    "        super(Map, self).__delitem__(key)\n",
    "        del self.__dict__[key]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample_dict = {\n",
    "    \"a\":{\"b\":{\"c\":{\"d\":{\"e\":{\"f\":{\"g\":\"h\"}}}}}}\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'dict' object has no attribute 'a'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-4-a2a691e37ef6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msample_dict\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m: 'dict' object has no attribute 'a'"
     ]
    }
   ],
   "source": [
    "sample_dict.a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'c': {'d': {'e': {'f': {'g': 'h'}}}}}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_dict.get(\"a\").get(\"b\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'c': {'d': {'e': {'f': {'g': 'h'}}}}}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# difficult to set deep nested \n",
    "sample_dict[\"a\"][\"b\"]={\"y\":\"z\"}"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
  },
  "kernelspec": {
   "display_name": "Python 3.8.6 64-bit",
   "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": "3.8.6"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}