examples.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# Basics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done\n"
     ]
    }
   ],
   "source": [
    "from SOMcreator import Project,Object,Attribute,PropertySet\n",
    "\n",
    "proj =Project(\"Testprojekt\")\n",
    "proj.clear()\n",
    "proj.open(\"data/SOM MaKa.SOMjson\")  #alternative: proj.import_excel(\"data/SOM MAKA.xlsx\",\"SOM-MaKa\")\n",
    "print(\"Done\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Abdichtung\n",
      "Abdichtung\n",
      "Absenkbausatz\n",
      "Abspannvorrichtung\n",
      "AndreaskreuzUndLichtzeichen\n",
      "Anhebbausatz\n",
      "Anker\n",
      "Anprallschutz\n",
      "Arbeitsgrube\n",
      "Ausbau\n",
      "Ausgleichsplatte\n",
      "Ausleger\n",
      "Ausruestung\n",
      "Aussenschale\n",
      "BE-Flaeche\n",
      "BUEAnlage\n",
      "BUEAnlageStrasse\n",
      "BUEBedieneinrichtung\n",
      "BUEEinschaltung\n",
      "BUESpezifischesSignal\n",
      "Bahnsteiganlage\n",
      "Bahnsteigausbau\n",
      "Bahnsteigausbaukomponente\n",
      "Bahnsteige\n",
      "Bahnsteigzugang\n",
      "Bahnuebergaenge\n",
      "Baubehelf\n",
      "Baubruecke\n",
      "Baugrund\n",
      "Bautelleneinrichtung\n",
      "Bauwerksaufhaengung\n",
      "BauzeitlicheSicherungseinrichtung\n",
      "Bebauung\n",
      "Bedachungsbahnsteigfuss\n",
      "Bedieneinrichtung Oertlich\n",
      "Bedieneinrichtung Stellwerk\n",
      "Bedienung und Steuerung\n",
      "Befestigungselement\n",
      "Betonwanne\n",
      "Bettung\n",
      "Binderschicht\n",
      "Bodenart\n",
      "Bodenplatte\n",
      "Bodenschicht\n",
      "Bogenabzug\n",
      "Bohrpfahl\n",
      "Bohrpfahlwand\n",
      "Brillenwand\n",
      "Bruecke\n",
      "Brueckenplatte\n",
      "Brueckentraeger\n",
      "Brueckentragwerk\n",
      "Deckschicht\n",
      "Durchrutschweg\n",
      "ETCSBalise\n",
      "ETCSDatenpunkt\n",
      "ETCSFachtelegramm\n",
      "Eindeckung\n",
      "Einfassungsrahmen\n",
      "Eingleisstelle\n",
      "Entwaesserung\n",
      "Entwaesserungsgraben\n",
      "Entwaesserungskanal\n",
      "Entwaesserungsschacht\n",
      "ErdKabel\n",
      "ErdLeitung\n",
      "Erdabtrag\n",
      "Erdauftrag\n",
      "Erdbau\n",
      "Erdtiefbau\n",
      "Erdtiefbaukomponente\n",
      "Erdung\n",
      "FMAKomponente\n",
      "Fahrbahnuebergang\n",
      "Fahrleitung\n",
      "Fahrstrasse\n",
      "FahrwegBefahrbar\n",
      "Fangschiene \n",
      "Feste Fahrbahn\n",
      "Flachgruendung\n",
      "Flachgruendungsplatte\n",
      "Fluegelwand\n",
      "FreiverlegtesKabelsystem\n",
      "Frostschutzschicht\n",
      "Fundament\n",
      "GEOKante\n",
      "GEOKnoten\n",
      "GEOPunkt\n",
      "GFRAnlage\n",
      "GFRElement\n",
      "GFRTripelspiegel\n",
      "GWSpiegel\n",
      "Gambionenwand\n",
      "Gelaender\n",
      "GeosynthetischeTondichtungsbahn\n",
      "Geotextil\n",
      "Gleis\n",
      "Gleisbegrenzungspunkt\n",
      "Gleisende\n",
      "Gleissperre\n",
      "Gleistragplatte\n",
      "Gleisverstaerkung\n",
      "Graben\n",
      "Grenzzeichen\n",
      "Gruendung\n",
      "Haengesaeule\n",
      "Herzstueck\n",
      "Hilfsbauwerke\n",
      "Hilfsgeometrie\n",
      "Hilfslaermschutz\n",
      "Homogenbereich\n",
      "Innenschale\n",
      "Isolator\n",
      "Joch\n",
      "Kabel\n",
      "KabelVerteilpunkt\n",
      "Kabelgefaessystem\n",
      "Kabelgraben\n",
      "Kabeltiefbau\n",
      "Kabeltrog\n",
      "Kalotte\n",
      "Kalottensohle\n",
      "Kappe\n",
      "Kettenwerk\n",
      "Kunststoffdichtungsbahn\n",
      "LST\n",
      "LSTGeo\n",
      "LSTKabel\n",
      "LSTLeitung\n",
      "Laermschutzeinrichtung\n",
      "Laermschutzwand\n",
      "Lager\n",
      "Leitung\n",
      "Loeschwasseranlage\n",
      "Markierung\n",
      "Mast\n",
      "Mastkonsole\n",
      "Medien und Trassen\n",
      "Mehrgleisausleger\n",
      "Messkontrollvorrichtung\n",
      "Mikropfahl\n",
      "Nutzflaeche\n",
      "OLAKabel\n",
      "OLALeitung\n",
      "Oberbau\n",
      "Oberleitungsanlage\n",
      "Oberleitungstrenner\n",
      "Oertlichkeit\n",
      "Ortung\n",
      "PZBElement\n",
      "PZBElementGM\n",
      "PZBElementGUE\n",
      "Pfahlkopfplatte\n",
      "PlanumGruendungssohle\n",
      "Planumsschutzschicht\n",
      "Planumsschutzschicht\n",
      "Pruefgeometrie\n",
      "Querfeld\n",
      "Querfeldstuetzpunkt\n",
      "Querfeldtragseil\n",
      "Quertrageinrichtung\n",
      "Querung\n",
      "Querungsrohr\n",
      "Querverbindungsstollen\n",
      "Radlenker\n",
      "Rahmendecke\n",
      "Rahmenfundament\n",
      "Rahmensegment\n",
      "Randweg\n",
      "Randwegverbau\n",
      "Richtseil\n",
      "Rollpalette\n",
      "Saeule\n",
      "Sandbettung\n",
      "Sauberkeitschicht\n",
      "Schacht\n",
      "Schalter\n",
      "Schaltgruppe\n",
      "Schaltmittel\n",
      "Schiene\n",
      "Schienenauszug\n",
      "Schienenisolierstoss\n",
      "Schienentrassierung\n",
      "Schloss\n",
      "Schlosskombination\n",
      "Schluesselabhaengigkeiten\n",
      "Schnittscheibe\n",
      "Schotter\n",
      "Schotterhalterung\n",
      "Schotteroberbau\n",
      "Schrankenantrieb\n",
      "Schuesselsperre\n",
      "Schwelle\n",
      "Schwergewichtsmauer\n",
      "Seitenfuehrungsblock\n",
      "Seitenfuehrungslager\n",
      "Signal\n",
      "Signal\n",
      "Signalbefestigung\n",
      "Signale\n",
      "Signalrahmen\n",
      "SonicBoomBauwerke\n",
      "Sonstige Einrichtung\n",
      "Sonstige Modellkomponente\n",
      "SonstigeTunnelausruestung\n",
      "SonstigeTunnelbauwerke\n",
      "SonstigerRaum\n",
      "SonstigerSchacht\n",
      "SonstigerStollen\n",
      "Sonstiges Bauteil\n",
      "Sperrschicht\n",
      "Spundwand\n",
      "StartZielbaugrube\n",
      "StellUndVerschlusssystem\n",
      "Strasse\n",
      "Strassenbau\n",
      "Strassenentwaesserung\n",
      "Strassenentwaesserungskomponente\n",
      "Strassentrassierung\n",
      "Strecke\n",
      "StreckePunkt\n",
      "Strossensohle\n",
      "Stuetze\n",
      "Stuetzkonstruktion\n",
      "Suchgraben\n",
      "TOPKante\n",
      "TOPKnoten\n",
      "Tiefgruendung\n",
      "Trageinrichtung\n",
      "Tragschicht\n",
      "Tragwerk\n",
      "TrasseKante\n",
      "TrasseKnoten\n",
      "Trassierung\n",
      "Trassierungskante\n",
      "Traverse\n",
      "Trennschicht\n",
      "Trog\n",
      "Trogwand\n",
      "Tuer\n",
      "Tunnel\n",
      "Tunnelabdichtung\n",
      "Tunnelausruestung\n",
      "Tunnelausstattung\n",
      "Tunnelbeleuchtung\n",
      "Tunnelentwaesserung\n",
      "Tunnelfuge\n",
      "Tunnelnotrufsystem\n",
      "Tunnelportal\n",
      "Tunnelrettungseinrichtung\n",
      "Tunnelrettungsplatz\n",
      "Tunnelrettungsschacht\n",
      "Tunnelrettungsschachtstollen\n",
      "Tunnelrettungsstollen\n",
      "Tunnelrettungsstollenportal\n",
      "Tunnelroehre\n",
      "Ueberbau\n",
      "Umleitungsbausatz\n",
      "Umweltschutzfläche\n",
      "Unterbau\n",
      "Untergrundverbesserung\n",
      "Unterhaltsweg\n",
      "Unterschottermatte\n",
      "Verbau\n",
      "Verbinder\n",
      "Verfuellung\n",
      "Verschubsystem\n",
      "Versickerungsbecken\n",
      "Versickerungsgraben\n",
      "Versickerungsmulde\n",
      "WKrAnlage\n",
      "WKrGspElement\n",
      "WKrGspKomponente \n",
      "Warneinrichtung\n",
      "Wasserfuehrung\n",
      "Wasserleitsystem\n",
      "Weiche\n",
      "Weichen und Gleissperren\n",
      "Weichenschienenpaar\n",
      "Weichenschwellen\n",
      "Weichenzuge\n",
      "Widerlager\n",
      "Widerlagerhinterfuellung\n",
      "Widerlagerwand\n",
      "Winkelstuetzwand\n",
      "Zugang\n",
      "Zugbeeinflussung\n",
      "ZusaetzlicheStrassenelemente\n"
     ]
    }
   ],
   "source": [
    "for obj in proj.objects:\n",
    "    print(obj.name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Objekt Name: Ueberbau\n",
      "Objekt ident: br.ue\n",
      "Objekt Kürzel: UE\n"
     ]
    }
   ],
   "source": [
    "obj_dict: dict[str,Object] = {obj.ident_value:obj for obj in proj.objects}\n",
    "obj_1 = obj_dict[\"br.ue\"]\n",
    "print(f\"Objekt Name: {obj_1.name}\")\n",
    "print(f\"Objekt ident: {obj_1.ident_value}\")\n",
    "print(f\"Objekt Kürzel: {obj_1.abbreviation}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Propertyset Name: Allgemeine Eigenschaften\n",
      "['nativeID', 'identitaet', 'eigentuemer', 'bemerkung', 'name', 'bauteilKlassifikation', 'bauteilName']\n",
      "-------------------------\n",
      "Propertyset Name: Gruppierung\n",
      "['idGruppe']\n",
      "-------------------------\n"
     ]
    }
   ],
   "source": [
    "for property_set in obj_1.property_sets:\n",
    "    print(f\"Propertyset Name: {property_set.name}\")\n",
    "    print([attribute.name for attribute in property_set.attributes])\n",
    "    print(\"-\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "name: bauteilKlassifikation\n",
      "value: ['br.ue']\n",
      "data_type: xs:string\n",
      "value_type: List\n"
     ]
    }
   ],
   "source": [
    "pset_1 = obj_1.get_property_set_by_name(\"Allgemeine Eigenschaften\")\n",
    "attribute_1 = pset_1.get_attribute_by_name(\"bauteilKlassifikation\")\n",
    "\n",
    "print(f\"name: {attribute_1.name}\")\n",
    "print(f\"value: {attribute_1.value}\")            # possible Values\n",
    "print(f\"data_type: {attribute_1.data_type}\")    # xs:string;xs:double;xs:boolean,xs:int\n",
    "print(f\"value_type: {attribute_1.value_type}\")  # List, Range, Format\n",
    "                                                # List: checks if value is in given List\n",
    "                                                # Range: checks if value is in given Range(s)\n",
    "                                                # Format: checks if value matches Regular Expression\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# Aggregation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{<SOMcreator.classes.Aggregation object at 0x0000015E92F51050>}\n"
     ]
    }
   ],
   "source": [
    "aggregations = obj_1.aggregation_representations    #Object can only be placed in Aggregation Structure\n",
    "print(aggregations)\n",
    "aggregation = next(iter(aggregations))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Element: Ueberbau\n",
      "Parent: Bruecke\n",
      "Children: ['Kappe', 'Brueckentragwerk']\n",
      "Objekt: Object Ueberbau\n",
      "Parent connection: 1\n"
     ]
    }
   ],
   "source": [
    "print(f\"Element: {aggregation.name}\")\n",
    "print(f\"Parent: {aggregation.parent.name}\")\n",
    "print(f\"Children: {[child.name for child in aggregation.children]}\")\n",
    "print(f\"Objekt: {aggregation.object}\")\n",
    "print(f\"Parent connection: {aggregation.parent_connection}\")            #1 = aggregation 2 = inheritance 3 = aggregation & inheritance\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython import display\n",
    "display.Image(\"C:/Users/ChristophMellueh/Pictures/screenshots/aggreg.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}