{
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   "cell_type": "code",
   "execution_count": null,
   "id": "9de5907f-18f5-4cb1-903e-26028ff1fa03",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "pd.set_option('display.max_rows', 100)\n",
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "997a4bdb",
   "metadata": {},
   "outputs": [],
   "source": [
    "def readTimeseries(bundesland = None):\n",
    "    df = pd.read_csv(\n",
    "        'intensivstationen/zeitreihe-bundeslaender.csv',\n",
    "        low_memory = False,\n",
    "        parse_dates = ['Datum'],\n",
    "        date_parser = lambda dateStr: pd.to_datetime(dateStr, utc = True))\n",
    "    if bundesland is not None:\n",
    "        return df[df['Bundesland'] == bundesland][['Datum', 'Belegte_Intensivbetten', 'Freie_Intensivbetten', '7_Tage_Notfallreserve']]\n",
    "    else:\n",
    "        res = df.groupby('Datum').agg(**{\n",
    "                        'Belegte_Intensivbetten': pd.NamedAgg(column = 'Belegte_Intensivbetten', aggfunc = 'sum'),\n",
    "                        'Freie_Intensivbetten':   pd.NamedAgg(column = 'Freie_Intensivbetten',   aggfunc = 'sum'),\n",
    "                        '7_Tage_Notfallreserve':  pd.NamedAgg(column = '7_Tage_Notfallreserve',  aggfunc = 'sum'), \n",
    "                    })\n",
    "        #df = df[['Datum', 'Belegte_Intensivbetten', 'Freie_Intensivbetten', '7_Tage_Notfallreserve']]\n",
    "        #res.to_csv('../docs/data/intensivstationen/data-de-generated.csv', index = True)\n",
    "        return res.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a97f5b2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def readAndPersistTimeseries(bundesland = None):\n",
    "    dataFrame = readTimeseries(bundesland)\n",
    "    dataFrame.to_csv(_getFilename(bundesland), index =False)\n",
    "    return dataFrame\n",
    "\n",
    "def _getFilename(bundesland):\n",
    "    return '../docs/data/intensivstationen/intensivstationen{suffix}.csv'.format(suffix = '-' + bundesland if bundesland is not None else '-de')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "63ca93a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "readAndPersistTimeseries(bundesland = 'BADEN_WUERTTEMBERG')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "349edd73",
   "metadata": {},
   "outputs": [],
   "source": [
    "readAndPersistTimeseries()"
   ]
  }
 ],
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