{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "3d4827d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from rdflib import Graph, URIRef, Literal, Namespace\n",
    "from rdflib.namespace import RDF, RDFS, XSD, GEO\n",
    "import json\n",
    "\n",
    "g = Graph()\n",
    "thm = Namespace(\"https://th-mannheim.de/\")\n",
    "thm_ont = Namespace(\"https://th-mannheim.de/ont/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "80c6fad0",
   "metadata": {},
   "outputs": [],
   "source": [
    "def open_json(name : str):\n",
    "    with open(name, mode=\"r\", encoding=\"utf8\") as jsonfile:\n",
    "        return json.loads(jsonfile.read())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "21dac562",
   "metadata": {},
   "outputs": [],
   "source": [
    "roads = open_json(\"data/autobahn.json\")\n",
    "chargings = open_json(\"data/chargingstations.json\")\n",
    "parkings = open_json(\"data/parkinglorries.json\")\n",
    "roadworks = open_json(\"data/roadworks.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "cecd4a23",
   "metadata": {},
   "outputs": [],
   "source": [
    "autobahn_urls = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "72ac9b11",
   "metadata": {},
   "outputs": [],
   "source": [
    "for autobahn in roads[\"roads\"]:\n",
    "    autobahn_url = thm[f\"autobahn/{autobahn}\"]\n",
    "    autobahn_urls[autobahn] = autobahn_url\n",
    "\n",
    "    for parking in parkings[autobahn][\"parking_lorry\"]:\n",
    "\n",
    "        parking_url = thm[f\"parkings/{parking[\"identifier\"]}\"]\n",
    "        geometry_url = thm_ont[f\"geometry/{parking[\"identifier\"]}\"]\n",
    "\n",
    "        # Grundlegende Daten\n",
    "        g.add((parking_url, RDF.type, thm_ont.Parking))\n",
    "        g.add((parking_url, thm_ont.title, Literal(parking[\"title\"], lang=\"de\")))\n",
    "        g.add((parking_url, thm_ont.subtitle, Literal(parking[\"subtitle\"], lang=\"de\")))\n",
    "        g.add((parking_url, thm_ont.description, Literal(parking[\"subtitle\"], lang=\"de\")))\n",
    "\n",
    "        # Zuordnung zur Autobahn\n",
    "        g.add((parking_url, thm.belongs, autobahn_urls[autobahn]))\n",
    "\n",
    "        # Koordinaten\n",
    "        g.add((parking_url, GEO.hasGeometry, geometry_url))\n",
    "        g.add((parking_url, GEO.asWKT, Literal(f\"POINT({parking[\"coordinate\"][\"long\"]} {parking[\"coordinate\"][\"lat\"]})\", datatype=GEO.wktLiteratl)))\n",
    "\n",
    "        # Zusätzliche Features (wenn mal Zeit ist \n",
    "        # kann man die auch in Objekte überführen, anstatt Literale zu verwenden)\n",
    "        for features in parking[\"lorryParkingFeatureIcons\"]:\n",
    "            g.add((parking_url, thm_ont.has_feature, Literal(features[\"description\"], lang=\"de\")))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "a8ae8a6f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Graph identifier=Nfd9dbadf281b46dbbae0fa147c9bb242 (<class 'rdflib.graph.Graph'>)>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.serialize(\"autobahn.ttl\", format=\"turtle\")"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "venv (3.14.4)",
   "language": "python",
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   "codemirror_mode": {
    "name": "ipython",
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