133 lines
3.7 KiB
Plaintext
133 lines
3.7 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 78,
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"id": "3d4827d9",
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"metadata": {},
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"outputs": [],
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"source": [
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"from rdflib import Graph, URIRef, Literal, Namespace\n",
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"from rdflib.namespace import RDF, RDFS, XSD, GEO\n",
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"import json\n",
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"\n",
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"g = Graph()\n",
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"thm = Namespace(\"https://th-mannheim.de/\")\n",
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"thm_ont = Namespace(\"https://th-mannheim.de/ont/\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 79,
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"id": "80c6fad0",
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"metadata": {},
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"outputs": [],
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"source": [
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"def open_json(name : str):\n",
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" with open(name, mode=\"r\", encoding=\"utf8\") as jsonfile:\n",
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" return json.loads(jsonfile.read())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 80,
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"id": "21dac562",
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"metadata": {},
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"outputs": [],
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"source": [
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"roads = open_json(\"data/autobahn.json\")\n",
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"chargings = open_json(\"data/chargingstations.json\")\n",
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"parkings = open_json(\"data/parkinglorries.json\")\n",
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"roadworks = open_json(\"data/roadworks.json\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 81,
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"id": "cecd4a23",
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"metadata": {},
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"outputs": [],
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"source": [
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"autobahn_urls = {}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "72ac9b11",
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"metadata": {},
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"outputs": [],
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"source": [
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"for autobahn in roads[\"roads\"]:\n",
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" autobahn_url = thm[f\"autobahn/{autobahn}\"]\n",
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" autobahn_urls[autobahn] = autobahn_url\n",
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"\n",
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" for parking in parkings[autobahn][\"parking_lorry\"]:\n",
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"\n",
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" parking_url = thm[f\"parkings/{parking[\"identifier\"]}\"]\n",
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" geometry_url = thm_ont[f\"geometry/{parking[\"identifier\"]}\"]\n",
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"\n",
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" # Grundlegende Daten\n",
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" g.add((parking_url, RDF.type, thm_ont.Parking))\n",
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" g.add((parking_url, thm_ont.title, Literal(parking[\"title\"], lang=\"de\")))\n",
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" g.add((parking_url, thm_ont.subtitle, Literal(parking[\"subtitle\"], lang=\"de\")))\n",
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" g.add((parking_url, thm_ont.description, Literal(parking[\"subtitle\"], lang=\"de\")))\n",
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"\n",
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" # Zuordnung zur Autobahn\n",
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" g.add((parking_url, thm.belongs, autobahn_urls[autobahn]))\n",
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"\n",
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" # Koordinaten\n",
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" g.add((parking_url, GEO.hasGeometry, geometry_url))\n",
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" g.add((parking_url, GEO.asWKT, Literal(f\"POINT({parking[\"coordinate\"][\"long\"]} {parking[\"coordinate\"][\"lat\"]})\", datatype=GEO.wktLiteratl)))\n",
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"\n",
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" # Zusätzliche Features (wenn mal Zeit ist \n",
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" # kann man die auch in Objekte überführen, anstatt Literale zu verwenden)\n",
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" for features in parking[\"lorryParkingFeatureIcons\"]:\n",
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" g.add((parking_url, thm_ont.has_feature, Literal(features[\"description\"], lang=\"de\")))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 83,
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"id": "a8ae8a6f",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<Graph identifier=Nfd9dbadf281b46dbbae0fa147c9bb242 (<class 'rdflib.graph.Graph'>)>"
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]
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},
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"execution_count": 83,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"g.serialize(\"autobahn.ttl\", format=\"turtle\")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "venv (3.14.4)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.14.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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