{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# Serialization demo"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "import json\n",
    "import numpy as np\n",
    "import pickle"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## pickle is simple but can be dangerous"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "class SomethingSimple:\n",
    "    def __init__(self, foo, bar):\n",
    "        self.foo = foo\n",
    "        self.bar = bar\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [
    {
     "data": {
      "text/plain": "(__main__.SomethingSimple, 3, 'two')"
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simple = SomethingSimple(foo=3, bar='two')\n",
    "\n",
    "with open('simple.pickle', 'wb') as f:\n",
    "    pickle.dump(simple, f)\n",
    "\n",
    "with open('simple.pickle', 'rb') as f:\n",
    "    simple_bis = pickle.load(f)\n",
    "\n",
    "type(simple_bis), simple_bis.foo, simple_bis.bar"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [],
   "source": [
    "class SomethingSimple:\n",
    "    def __init__(self, foo, bla):\n",
    "        self.foo = foo\n",
    "        self.bla = bla"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "data": {
      "text/plain": "{'foo': 3, 'bar': 'two'}"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with open('simple.pickle', 'rb') as f:\n",
    "    simple_bis = pickle.load(f)\n",
    "\n",
    "simple_bis.__dict__"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Even worse when you have a simple class name change"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "Can't get attribute 'SomethingSimple' on <module '__main__'>",
     "output_type": "error",
     "traceback": [
      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[0;31mAttributeError\u001B[0m                            Traceback (most recent call last)",
      "\u001B[0;32m<ipython-input-6-56e3756749ad>\u001B[0m in \u001B[0;36m<module>\u001B[0;34m()\u001B[0m\n\u001B[1;32m      8\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m      9\u001B[0m \u001B[0;32mwith\u001B[0m \u001B[0mopen\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m'simple.pickle'\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m'rb'\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;32mas\u001B[0m \u001B[0mf\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 10\u001B[0;31m     \u001B[0msimple_bis\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mpickle\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mload\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mf\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m     11\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     12\u001B[0m \u001B[0msimple_bis\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m__dict__\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;31mAttributeError\u001B[0m: Can't get attribute 'SomethingSimple' on <module '__main__'>"
     ]
    }
   ],
   "source": [
    "# Simulate a name change of the SomethingSimple class\n",
    "del SomethingSimple\n",
    "\n",
    "class Simple:\n",
    "    def __init__(self, foo, bar):\n",
    "        self.foo = foo\n",
    "        self.bar = bar\n",
    "\n",
    "with open('simple.pickle', 'rb') as f:\n",
    "    simple_bis = pickle.load(f)\n",
    "\n",
    "simple_bis.__dict__"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## JSON is still quite simple, and allows you a closer control"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [],
   "source": [
    "class SomethingNice:\n",
    "\n",
    "    def __init__(self, foo, bar):\n",
    "        self.foo = foo\n",
    "        self.bar = bar\n",
    "\n",
    "    @classmethod\n",
    "    def from_json(cls, fname):\n",
    "        with open(fname, 'r') as f:\n",
    "            dump = json.load(f)\n",
    "        return cls(**dump)\n",
    "\n",
    "    def to_json(self, fname):\n",
    "        with open(fname, 'w') as f:\n",
    "            json.dump(self.__dict__, f)\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "data": {
      "text/plain": "{'foo': 3, 'bar': 'two'}"
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "so_nice = SomethingNice(foo=3, bar='two')\n",
    "so_nice.__dict__\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\"foo\": 3, \"bar\": \"two\"}"
     ]
    }
   ],
   "source": [
    "so_nice.to_json('nice.json')\n",
    "!cat ./nice.json"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "data": {
      "text/plain": "{'foo': 3, 'bar': 'two'}"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "so_nice_again = SomethingNice.from_json('nice.json')\n",
    "so_nice_again.__dict__"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [
    {
     "data": {
      "text/plain": "{'foo': 3, 'bar': array([1.2, 3.4])}"
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "not_so_nice = SomethingNice(foo=3, bar=np.array([1.2, 3.4]))\n",
    "not_so_nice.__dict__"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "Object of type 'ndarray' is not JSON serializable",
     "output_type": "error",
     "traceback": [
      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[0;31mTypeError\u001B[0m                                 Traceback (most recent call last)",
      "\u001B[0;32m<ipython-input-12-e860ef19277d>\u001B[0m in \u001B[0;36m<module>\u001B[0;34m()\u001B[0m\n\u001B[0;32m----> 1\u001B[0;31m \u001B[0mnot_so_nice\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mto_json\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m'not_so_nice.json'\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m",
      "\u001B[0;32m<ipython-input-7-c9b082d8b74f>\u001B[0m in \u001B[0;36mto_json\u001B[0;34m(self, fname)\u001B[0m\n\u001B[1;32m     13\u001B[0m     \u001B[0;32mdef\u001B[0m \u001B[0mto_json\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mfname\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     14\u001B[0m         \u001B[0;32mwith\u001B[0m \u001B[0mopen\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mfname\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m'w'\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;32mas\u001B[0m \u001B[0mf\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 15\u001B[0;31m             \u001B[0mjson\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mdump\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m__dict__\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mf\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m",
      "\u001B[0;32m~/miniconda3/envs/bog/lib/python3.6/json/__init__.py\u001B[0m in \u001B[0;36mdump\u001B[0;34m(obj, fp, skipkeys, ensure_ascii, check_circular, allow_nan, cls, indent, separators, default, sort_keys, **kw)\u001B[0m\n\u001B[1;32m    177\u001B[0m     \u001B[0;31m# could accelerate with writelines in some versions of Python, at\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    178\u001B[0m     \u001B[0;31m# a debuggability cost\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 179\u001B[0;31m     \u001B[0;32mfor\u001B[0m \u001B[0mchunk\u001B[0m \u001B[0;32min\u001B[0m \u001B[0miterable\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m    180\u001B[0m         \u001B[0mfp\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mwrite\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mchunk\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    181\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/miniconda3/envs/bog/lib/python3.6/json/encoder.py\u001B[0m in \u001B[0;36m_iterencode\u001B[0;34m(o, _current_indent_level)\u001B[0m\n\u001B[1;32m    428\u001B[0m             \u001B[0;32myield\u001B[0m \u001B[0;32mfrom\u001B[0m \u001B[0m_iterencode_list\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mo\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0m_current_indent_level\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    429\u001B[0m         \u001B[0;32melif\u001B[0m \u001B[0misinstance\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mo\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 430\u001B[0;31m             \u001B[0;32myield\u001B[0m \u001B[0;32mfrom\u001B[0m \u001B[0m_iterencode_dict\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mo\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0m_current_indent_level\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m    431\u001B[0m         \u001B[0;32melse\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    432\u001B[0m             \u001B[0;32mif\u001B[0m \u001B[0mmarkers\u001B[0m \u001B[0;32mis\u001B[0m \u001B[0;32mnot\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/miniconda3/envs/bog/lib/python3.6/json/encoder.py\u001B[0m in \u001B[0;36m_iterencode_dict\u001B[0;34m(dct, _current_indent_level)\u001B[0m\n\u001B[1;32m    402\u001B[0m                 \u001B[0;32melse\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    403\u001B[0m                     \u001B[0mchunks\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0m_iterencode\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mvalue\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0m_current_indent_level\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 404\u001B[0;31m                 \u001B[0;32myield\u001B[0m \u001B[0;32mfrom\u001B[0m \u001B[0mchunks\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m    405\u001B[0m         \u001B[0;32mif\u001B[0m \u001B[0mnewline_indent\u001B[0m \u001B[0;32mis\u001B[0m \u001B[0;32mnot\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    406\u001B[0m             \u001B[0m_current_indent_level\u001B[0m \u001B[0;34m-=\u001B[0m \u001B[0;36m1\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/miniconda3/envs/bog/lib/python3.6/json/encoder.py\u001B[0m in \u001B[0;36m_iterencode\u001B[0;34m(o, _current_indent_level)\u001B[0m\n\u001B[1;32m    435\u001B[0m                     \u001B[0;32mraise\u001B[0m \u001B[0mValueError\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\"Circular reference detected\"\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    436\u001B[0m                 \u001B[0mmarkers\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mmarkerid\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mo\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 437\u001B[0;31m             \u001B[0mo\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0m_default\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mo\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m    438\u001B[0m             \u001B[0;32myield\u001B[0m \u001B[0;32mfrom\u001B[0m \u001B[0m_iterencode\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mo\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0m_current_indent_level\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    439\u001B[0m             \u001B[0;32mif\u001B[0m \u001B[0mmarkers\u001B[0m \u001B[0;32mis\u001B[0m \u001B[0;32mnot\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/miniconda3/envs/bog/lib/python3.6/json/encoder.py\u001B[0m in \u001B[0;36mdefault\u001B[0;34m(self, o)\u001B[0m\n\u001B[1;32m    178\u001B[0m         \"\"\"\n\u001B[1;32m    179\u001B[0m         raise TypeError(\"Object of type '%s' is not JSON serializable\" %\n\u001B[0;32m--> 180\u001B[0;31m                         o.__class__.__name__)\n\u001B[0m\u001B[1;32m    181\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    182\u001B[0m     \u001B[0;32mdef\u001B[0m \u001B[0mencode\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mo\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;31mTypeError\u001B[0m: Object of type 'ndarray' is not JSON serializable"
     ]
    }
   ],
   "source": [
    "not_so_nice.to_json('not_so_nice.json')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [],
   "source": [
    "class SomethingWorking:\n",
    "\n",
    "    def __init__(self, foo, data):\n",
    "        self.foo = foo\n",
    "        self.data = data\n",
    "\n",
    "    @classmethod\n",
    "    def from_json(cls, fname):\n",
    "        with open(fname, 'r') as f:\n",
    "            dump = json.load(f)\n",
    "        dump['data'] = np.array(dump['data'])\n",
    "        return cls(**dump)\n",
    "\n",
    "    def to_json(self, fname):\n",
    "        dump = {\n",
    "            'foo': self.foo,\n",
    "            'data': self.data.tolist(),\n",
    "        }\n",
    "        with open(fname, 'w') as f:\n",
    "            json.dump(dump, f)\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\"foo\": 3, \"data\": [[1, 2], [3, 4]]}"
     ]
    }
   ],
   "source": [
    "not_so_nice = SomethingWorking(foo=3, data=np.array([[1, 2], [3,4 ]]))\n",
    "not_so_nice.to_json('not_so_nice.json')\n",
    "!cat not_so_nice.json\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
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