Learnathon 2018

xholonWorkbook.xml

<?xml version="1.0" encoding="UTF-8"?>
<!--Xholon Workbook http://www.primordion.com/Xholon/gwt/ MIT License, Copyright (C) Ken Webb, Tue May 29 2018 07:47:26 GMT-0400 (EDT)-->
<XholonWorkbook>

<Notes><![CDATA[
Xholon
------
Title: Learnathon 2018
Description: 
Url: http://www.primordion.com/Xholon/gwt/
InternalName: 9c8396d17457a4a493f75aabd3c49414
Keywords: 

My Notes
--------
May 28, 2018
Create an agent based model (ABM)[6] from the kaggle data.

TODO parse the kaggle .csv data to construct the actual Xholon nodes

References
----------
(1) https://github.com/OttawaLearnathon2018/

(2) https://github.com/OttawaLearnathon2018/notes/blob/master/restaurantdata-systemmodel.pdf

(3) https://www.kaggle.com/c/recruit-restaurant-visitor-forecasting/data

(4) http://www.primordion.com/Xholon/gwt/wb/editwb.html?app=b0bee55457fcc763ceb5&src=gist
  ) http://www.primordion.com/Xholon/gwt/XholonLeaflet.html?app=b0bee55457fcc763ceb5&src=gist&gui=none
    example of using Leaflet in Xholon

(5) http://leafletjs.com
    Leaflet

(6) https://en.wikipedia.org/wiki/Agent-based_model
    "An agent-based model (ABM) is a class of computational models for simulating the actions and interactions of autonomous agents"
    "Agent-based models are a kind of microscale model that simulate the simultaneous operations and interactions of multiple agents in an attempt to re-create and predict the appearance of complex phenomena."

]]></Notes> 

<_-.XholonClass>
  <PhysicalSystem/>
  
  <Customer/>
  <Restaurant/> <!-- Stores-Restaurants -->
  <Location/>
  <Genre/>
  
  <Customers/>
  <Restaurants/>
  <Locations/>
  <Genres/>
  
  <RadioStation/>
  <Orange/>
  
  <StoreInfoReader/>
  
</_-.XholonClass>

<xholonClassDetails>
  <Customer><Color>blue</Color></Customer>
  <Orange><Color>orange</Color></Orange>
  <Avatar><Color>red</Color></Avatar>
</xholonClassDetails>

<PhysicalSystem>
  
  <Genres>
    <!-- air_store_info.csv   create a Genre node for ech of these -->
    <Attribute_String>
      Italian/French
      Dining bar
      Yakiniku/Korean food
      Cafe/Sweets
      Izakaya
      Okonomiyaki/Monja/Teppanyaki
      Bar/Cocktail
      Japanese food
      Creative cuisine
      Other
      Western food
      International cuisine
      Asian
      Karaoke/Party
    </Attribute_String>
    <!--<Genre roleName="Abc"/>-->
  </Genres>
  
  <!-- air_store_info.csv, hpg_store_info -->
  <Restaurants>
    <!-- perhaps each restaurant is inside a Location; TODO have a port called "genre" that references a <Genre/> -->
  </Restaurants>
  
  <Customers>
    <Customer roleName="Generic" multiplicity="20"/>
  </Customers>
  
  <!-- air_store_info.csv, hpg_store_info  latitude, longitude  A location is an area; in the kaggle data, every restaurant in an area has the same lat/long -->
  <Locations>
    <!-- "Note: latitude and longitude are the latitude and longitude of the area to which the store belongs"[3] -->
    <Location area_name="Hyōgo-ken Kōbe-shi Kumoidōri"><Geo>[34.6951242,135.1978525]</Geo></Location> <!-- latitude 34.6951242  longitude 135.1978525 -->
    <Location area_name="Tōkyō-to Minato-ku Shibakōen"><Geo>[34.6951242,135.1978525]</Geo></Location>
    <Location area_name="Fukuoka-ken Fukuoka-shi Daimyō"><Geo>[34.6951242,135.1978525]</Geo></Location>
    <Location area_name="Tōkyō-to Setagaya-ku Setagaya"><Geo>[34.6951242,135.1978525]</Geo></Location>
    <Location area_name="Ōsaka-fu Ōsaka-shi Ōgimachi">
      <!--<Geo>[34.6951242,135.1978525]</Geo>-->
      <Geo>{"type":"Feature","properties":{"width":20,"height":20},"geometry":{"type":"Point","coordinates":[135.1978525,34.6951242]}}</Geo>
    </Location>
  </Locations>
  
  <!--
air_store_info.csv (first 10 records):
air_store_id,air_genre_name,air_area_name,latitude,longitude
Use this data to create Restaurant and Location nodes.
  -->
  <StoreInfoReader>
    <Attribute_String>
air_0f0cdeee6c9bf3d7,Italian/French,Hyōgo-ken Kōbe-shi Kumoidōri,34.6951242,135.1978525
air_7cc17a324ae5c7dc,Italian/French,Hyōgo-ken Kōbe-shi Kumoidōri,34.6951242,135.1978525
air_fee8dcf4d619598e,Italian/French,Hyōgo-ken Kōbe-shi Kumoidōri,34.6951242,135.1978525
air_a17f0778617c76e2,Italian/French,Hyōgo-ken Kōbe-shi Kumoidōri,34.6951242,135.1978525
air_83db5aff8f50478e,Italian/French,Tōkyō-to Minato-ku Shibakōen,35.6580681,139.7515992
air_99c3eae84130c1cb,Italian/French,Tōkyō-to Minato-ku Shibakōen,35.6580681,139.7515992
air_f183a514cb8ff4fa,Italian/French,Tōkyō-to Minato-ku Shibakōen,35.6580681,139.7515992
air_6b9fa44a9cf504a1,Italian/French,Tōkyō-to Minato-ku Shibakōen,35.6580681,139.7515992
air_0919d54f0c9a24b8,Italian/French,Tōkyō-to Minato-ku Shibakōen,35.6580681,139.7515992
air_2c6c79d597e48096,Italian/French,Tōkyō-to Minato-ku Shibakōen,35.6580681,139.7515992
    </Attribute_String>
  </StoreInfoReader>
  
  <RadioStation roleName="DefCon Radio - Music for Hacking."><Anno>https://somafm.com/defcon/</Anno></RadioStation>
  <Orange roleName="Orange Python library"><Anno>https://orange.biolab.si/</Anno></Orange>
  
  <Animate selection="#xhgraph"/>
  
</PhysicalSystem>

<Genresbehavior implName="org.primordion.xholon.base.Behavior_gwtjs"><![CDATA[
var me, beh = {
postConfigure: function() {
  me = this.cnode.parent();
  var str = me.first().text();
  var garr = str.split("\n");
  me.first().remove();
  for (var i = 0; i < garr.length; i++) {
    var genre = garr[i].trim();
    var gstr = '<Genre roleName="' + genre + '"></Genre>';
    me.append(gstr);
  }
  this.cnode.remove();
}
}
//# sourceURL=Genresbehavior.js
]]></Genresbehavior>

<Customerbehavior implName="org.primordion.xholon.base.Behavior_gwtjs"><![CDATA[
const numRestaurants = 10;
var me, restaurants, beh = {
postConfigure: function() {
  me = this.cnode.parent();
  restaurants = me.xpath("ancestor::PhysicalSystem/Restaurants");
  me.xpath("ancestor::Chameleon").append(this.cnode.remove());
},
act: function() {
  var rest = restaurants.xpath("Restaurant[" + ($wnd.Math.floor($wnd.Math.random() * numRestaurants) + 1) + "]");
  rest.append(me.remove());
}
}
//# sourceURL=Customerbehavior.js
]]></Customerbehavior>

<StoreInfoReaderbehavior implName="org.primordion.xholon.base.Behavior_gwtjs"><![CDATA[
var me, restaurants, locations, beh = {
postConfigure: function() {
  me = this.cnode.parent();
  this.cnode.remove();
  restaurants = me.xpath("ancestor::PhysicalSystem/Restaurants");
  locations = me.xpath("ancestor::PhysicalSystem/Locations");
  var str = me.first().text();
  var rowarr = str.split("\n");
  me.first().remove();
  for (var i = 0; i < rowarr.length; i++) {
    var row = rowarr[i].trim();
    var colarr = row.split(",");
    // <Restaurant store_id="air_0f0cdeee6c9bf3d7" genre_name="Italian/French"></Restaurant>
    var rstr = '<Restaurant store_id="' + colarr[0] + '" genre_name="' + colarr[1] + '"></Restaurant>';
    restaurants.append(rstr);
  }
  me.remove();
}
}
//# sourceURL=StoreInfoReaderbehavior.js
]]></StoreInfoReaderbehavior>

<SvgClient><Attribute_String roleName="svgUri"><![CDATA[data:image/svg+xml,
<svg width="100" height="50" xmlns="http://www.w3.org/2000/svg">
  <g>
    <title>Block</title>
    <rect id="PhysicalSystem/Restaurants" fill="#98FB98" height="50" width="50" x="25" y="0"/>
    <g>
      <title>Height</title>
      <rect id="PhysicalSystem/Restaurants/Restaurant" fill="#6AB06A" height="50" width="10" x="80" y="0"/>
    </g>
  </g>
</svg>
]]></Attribute_String><Attribute_String roleName="setup">${MODELNAME_DEFAULT},${SVGURI_DEFAULT}</Attribute_String></SvgClient>

</XholonWorkbook>