{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d3e03ab2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9210f39",
   "metadata": {},
   "source": [
    "# This is required for tippecanoe to guess the proper types for the fields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1cd097e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "tippecanoe_df_types = pd.DataFrame(da_df_cop_df.dtypes)\n",
    "\n",
    "attributes_types = [] \n",
    "for row in tippecanoe_df_types.itertuples():\n",
    "    # This is what it should look like --attribute-type=count_total_1:int\n",
    "    column_name = row[0]\n",
    "    column_type = str(row[1])\n",
    "    \n",
    "    if 'Int' in column_type:\n",
    "        parameter = f\"--attribute-type={column_name}:int\"\n",
    "        attributes_types.append(parameter)\n",
    "    elif 'Float' in column_type:\n",
    "        parameter = f\"--attribute-type={column_name}:float\"\n",
    "        attributes_types.append(parameter)   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d8b20754",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'attributes_types' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[2], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(\u001b[43mattributes_types\u001b[49m))\n",
      "\u001b[0;31mNameError\u001b[0m: name 'attributes_types' is not defined"
     ]
    }
   ],
   "source": [
    "print(' '.join(attributes_types))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "160d5b8f",
   "metadata": {},
   "source": [
    "# Then we edit the metadata for the generated vector tiles to remove the long generator_options\n",
    "\n",
    "Edit metadata.json and remove generator_options\n",
    "```\n",
    "pmtiles show test.pmtiles --metadata > metadata.json\n",
    "pmtiles edit test.pmtiles --metadata=metadata.json\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9280e3d2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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