{
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  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# imports\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "from great_schools import get_nearby_schools\n",
    "from secret import get_key"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Shaun and Daniela's Boston Public School Analysis\n",
    "#### 2021.04.10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fetch the API key from the local filesystem."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get the API key\n",
    "api_key_file = '../keys/api.key'\n",
    "api_key = get_key(api_key_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the `nearby_schools` API endpoint to grab raw data of all schools within the maximum radius"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Some columns will dropped immediately as pre-processing.\n",
    "drops = [\n",
    "    'nces-id',\n",
    "    'school-summary',\n",
    "    'street',\n",
    "    'fipscounty',\n",
    "    'phone',\n",
    "    'fax',\n",
    "    'web-site',\n",
    "    'overview-url',\n",
    "    'rating-description',\n",
    "]\n",
    "\n",
    "# Grab data for Boston.\n",
    "refresh = False\n",
    "boston_nearby_schools_file = '../data/nearby_schools/boston.csv'\n",
    "if refresh:\n",
    "    boston_schools = get_nearby_schools(api_key,\"42.3\",\"-71.2\",\"50\")\n",
    "    boston_df = pd.DataFrame.from_dict(boston_schools)\n",
    "    boston_df.drop(columns=drops,inplace=True)\n",
    "    boston_df.to_csv(boston_nearby_schools_file)\n",
    "else:\n",
    "    boston_df = pd.read_csv(boston_nearby_schools_file)\n",
    "\n",
    "# Grab data for Buffalo.\n",
    "refresh = False\n",
    "buffalo_nearby_schools_file = '../data/nearby_schools/buffalo.csv'\n",
    "if refresh:\n",
    "    buffalo_schools = get_nearby_schools(api_key,\"42.9625\",\"-78.7425\",\"50\")\n",
    "    buffalo_df = pd.DataFrame.from_dict(buffalo_schools)\n",
    "    buffalo_df.drop(columns=drops,inplace=True)\n",
    "    buffalo_df.to_csv(buffalo_nearby_schools_file)\n",
    "else:\n",
    "    buffalo_df = pd.read_csv(buffalo_nearby_schools_file)"
   ]
  }
 ],
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