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   "source": [
    "# Filter By Release Date Demo\n",
    "\n",
    "This example demonstrates how to filter structure with specified release date range\n",
    "\n",
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyspark import SparkConf, SparkContext\n",
    "from mmtfPyspark.io import mmtfReader\n",
    "from mmtfPyspark.filters import ReleaseDate\n",
    "from mmtfPyspark.structureViewer import view_structure"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Configure Spark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "conf = SparkConf().setMaster(\"local[*]\") \\\n",
    "                      .setAppName(\"FilterByReleaseDate\")\n",
    "sc = SparkContext(conf = conf)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read in MMTF Files, filter and count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of structure released between 2000-01-28 and 2017-02-28 is: 5395\n"
     ]
    }
   ],
   "source": [
    "path = \"../../resources/mmtf_reduced_sample/\"\n",
    "\n",
    "structures = mmtfReader.read_sequence_file(path, sc) \\\n",
    "                .filter(ReleaseDate(\"2000-01-28\",\"2017-02-28\"))\n",
    "        \n",
    "print(f\"Number of structure released between 2000-01-28 and 2017-02-28 is: {structures.count()}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize Structures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "<function mmtfPyspark.structureViewer.view_structure.<locals>.view3d>"
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   "source": [
    "structure_names = structures.keys().collect()\n",
    "view_structure(structure_names, style='line')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Terminate Spark "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.stop()"
   ]
  }
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