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   "cell_type": "code",
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    "collapsed": true,
    "nbsphinx": "hidden"
   },
   "outputs": [],
   "source": [
    "# Delete this cell to re-enable tracebacks\n",
    "import sys\n",
    "ipython = get_ipython()\n",
    "\n",
    "def hide_traceback(exc_tuple=None, filename=None, tb_offset=None,\n",
    "                   exception_only=False, running_compiled_code=False):\n",
    "    etype, value, tb = sys.exc_info()\n",
    "    return ipython._showtraceback(etype, value, ipython.InteractiveTB.get_exception_only(etype, value))\n",
    "\n",
    "ipython.showtraceback = hide_traceback"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "nbsphinx": "hidden"
   },
   "outputs": [],
   "source": [
    "# JSON output syntax highlighting\n",
    "from __future__ import print_function\n",
    "from pygments import highlight\n",
    "from pygments.lexers import JsonLexer\n",
    "from pygments.formatters import HtmlFormatter\n",
    "from IPython.display import HTML\n",
    "\n",
    "original_print = print\n",
    "\n",
    "def json_print(inpt):\n",
    "    string = str(inpt)\n",
    "    if string[0] == '{':\n",
    "        formatter = HtmlFormatter()\n",
    "        return HTML('<style type=\"text/css\">{}</style>{}'.format(\n",
    "                    formatter.get_style_defs('.highlight'),\n",
    "                    highlight(string, JsonLexer(), formatter)))\n",
    "    else:\n",
    "        original_print(inpt)\n",
    "\n",
    "print = json_print"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Parsing STIX Content"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Parsing STIX content is as easy as calling the [parse()](../api/stix2.core.rst#stix2.core.parse) function on a JSON string. It will automatically determine the type of the object. The STIX objects within `bundle` objects, and the cyber observables contained within `observed-data` objects will be parsed as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "observed-data\n",
      "0969de02ecf8a5f003e3f6d063d848c8a193aada092623f8ce408c15bcb5f038\n"
     ]
    }
   ],
   "source": [
    "from stix2 import parse\n",
    "\n",
    "input_string = \"\"\"{\n",
    "    \"type\": \"observed-data\",\n",
    "    \"id\": \"observed-data--b67d30ff-02ac-498a-92f9-32f845f448cf\",\n",
    "    \"created\": \"2016-04-06T19:58:16.000Z\",\n",
    "    \"modified\": \"2016-04-06T19:58:16.000Z\",\n",
    "    \"first_observed\": \"2015-12-21T19:00:00Z\",\n",
    "    \"last_observed\": \"2015-12-21T19:00:00Z\",\n",
    "    \"number_observed\": 50,\n",
    "    \"objects\": {\n",
    "        \"0\": {\n",
    "            \"type\": \"file\",\n",
    "            \"hashes\": {\n",
    "                \"SHA-256\": \"0969de02ecf8a5f003e3f6d063d848c8a193aada092623f8ce408c15bcb5f038\"\n",
    "            }\n",
    "        }\n",
    "    }\n",
    "}\"\"\"\n",
    "\n",
    "obj = parse(input_string)\n",
    "print(obj.type)\n",
    "print(obj.objects[\"0\"].hashes['SHA-256'])"
   ]
  }
 ],
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