ConsultancyProject_2_ETL/dashboard/resources/views/overview.blade.php

@extends('base')
@section('body-class', 'overview')
@section('header')
<nav>
  <strong>Start</strong>
  <ul>
    @foreach($regions as $r)
    <li><a href="/region/{{ $r['region_id'] }}">{{ $r['region_name'] }}</a></li>
    @endforeach
  </ul>
</nav>
@endsection
@section('main')
<article class="header" style="grid-area: chart3;">
  <header>
    <h2>Auslastung aller Mietobjekte über Gesamte Zeit</h2>
    <button popovertarget="pop1">
      <span>Erklärungen zum Diagramm</span>
    </button>
    <div popover id="pop1">
      <h2>Auslastung aller Mietobjekte über Gesamte Zeit</h2>
      <p>
        Das Diagramm gibt eine Übersicht, wie die Auslastung von Mietobjekten am Datum des Scrapings waren. Dazu wird für jedes Mietobjekt die durchschnittliche Verfügbarkeit ermittelt.
      </p>
      <ul>
        <li>X-Achse: Zeitpunkt Scraping.</li>
        <li>Y-Achse: Mietobjekte.</li>
        <li>Kategorien: 0% = Das Mietobjekt ist komplett verfügbar; 100% = Das Mietobjekt ist komplett ausgebucht.</li>
      </ul>
    </div>
    <div>
  </header>
  <div id="chart-heatmap"></div>
</article>
<article class="header" style="grid-area: chart1;">
  <header>
    <h2>
      Anzahl jemals gefundene Kurzzeitmietobjekte pro Region
    </h2>
    <button popovertarget="pop2">
      <span>Erklärungen zum Diagramm</span>
    </button>
    <div popover id="pop2">
      <h2>Anzahl jemals gefundene Kurzzeitmietobjekte pro Region</h2>
      <p>
        Das Balkendiagramm zeigt wieviele Kurzzeitmietobjekte insgesamt pro Region über den gesamten Datenerhebungszeitraum, gefunden wurden.
      </p>
      <ul>
        <li>X-Achse: Bezeichnung der Region.</li>
        <li>Y-Achse: Anzahl Mietobjekte.</li>
      </ul>
    </div>
    <div>
  </header>
  <div id="chart-props-per-region"></div>
</article>
<article class="header" style="grid-area: chart2;">
  <header>
    <h2>
      Entwicklung der Anzahl jemals gefunden Kurzzeitmietobjekte
    </h2>
    <button popovertarget="pop3">
      <span>Erklärungen zum Diagramm</span>
    </button>
    <div popover id="pop3">
      <h2>Entwicklung Anzahl jemals gefundener Kurzzeitmietobjekte pro Region</h2>
      <p>
        Das Liniendiagramm zeigt die Entwicklung der gefundenen Mietobjekte pro Region.
      </p>
      <ul>
        <li>X-Achse: Zeitpunkt Scraping.</li>
        <li>Y-Achse: Anzahl Mietobjekte.</li>
      </ul>
    </div>
    <div>
  </header>
  <div id="extractions"></div>
</article>
<article style="grid-area: chart4;">
  <div id="leaflet"></div>
</article>
<script type="module">
const sharedOptions = {
  basic: {
    color: {!! $chartOptions['colors'] !!},
    grid: {
      top: 30,
      left: 70,
      right: 0,
      bottom: 45
    },
    name: (opt) => {
      return {
        name: opt.name,
        nameLocation: opt.location,
        nameGap: 50,
        nameTextStyle: {
          fontWeight: 'bold',
        },
      }
    }
  }
}
const extractionDates = {!! json_encode($regionPropertiesCapacities['scrapeDates']) !!};

const chartHeatmap = document.getElementById('chart-heatmap');
const cHeatmap = echarts.init(chartHeatmap);
const cHeatmapOptions = {
  animation: false,
  tooltip: {
    position: 'top'
  },
  grid: {
    show: true,
    borderWidth: 1,
    borderColor: '#aaa',
    top: 30,
    right: 45,
    bottom: 70,
    left: 30
  },
  dataZoom: [{
      type: 'slider'
    },
    {
      type: 'slider',
      show: true,
      yAxisIndex: 0,
  }],
  xAxis: {
    show: true,
    name: 'Zeitpunkt Scraping',
    type: 'category',
    data: extractionDates,
    splitArea: {
      show: false
    },
    splitArea: {
      show: false
    },
    axisLabel: {
      show: false,
    },
    axisTick: {
        show: false,
    },
    axisLine: {
        show: false,
    },
    nameLocation: 'center',
    nameGap: 10,
    nameTextStyle: {
      fontWeight: 'bold',
    }
  },
  yAxis: {
    show: true,
    type: 'category',
    data: {!! json_encode($regionPropertiesCapacities['property_ids']) !!},
    splitArea: {
      show: false
    },
    axisTick: {
        show: false,
    },
    axisLine: {
        show: false,
    },
    axisLabel: {
      show: false,
    },
    name: 'Mietobjekte',
    nameLocation: 'center',
    nameGap: 10,
    nameTextStyle: {
      fontWeight: 'bold',
    }
  },
  visualMap: {
    type: 'piecewise',
    min: 0,
    max: 100,
    calculable: true,
    orient: 'horizontal',
    left: 'center',
    top: 0,
    formatter: (v1, v2) => {
      return `${v1} – ${v2} %`;
    },
    inRange: {
      color: sharedOptions.basic.color,
    },
  },
  series: [
    {
      name: 'Auslastung',
      type: 'heatmap',
      blurSize: 0,
      data: {!! json_encode($regionPropertiesCapacities['values']) !!},
      label: {
        show: false
      },
      tooltip: {
        formatter: (data) => {
          return `Kurzzeitmietobjekte-ID: ${data.data[1]}<br />Datum Scraping: ${data.data[0]}<br/>Auslastung: ${data.data[2].toFixed(2)} %`
        },
      },
      emphasis: {
        itemStyle: {
          borderColor: '#000',
          borderWidth: 2
        }
      }
    }
  ]
}

cHeatmap.setOption(cHeatmapOptions);

const chartPropsPerRegion = document.getElementById('chart-props-per-region');
const cPropsPerRegion = echarts.init(chartPropsPerRegion);
const cPropsPerRegionOptions = {
  grid: sharedOptions.basic.grid,
  color: sharedOptions.basic.color,
  xAxis: {
    name: 'Region',
    nameLocation: 'center',
    nameGap: 30,
    nameTextStyle: {
      fontWeight: 'bold',
    },
    type: 'category',
    data: {!! $propsPerRegion[1] !!}
  },
  yAxis: {
    type: 'value',
    name: 'Anzahl Mietobjekte',
    nameLocation: 'middle',
    nameGap: 50,
    nameTextStyle: {
      fontWeight: 'bold',
    },
  },
  series: [
    {
      data: {!! $propsPerRegion[2] !!},
      type: 'bar',
      itemStyle: {
        color: (e) => {
          return sharedOptions.basic.color[e.dataIndex];
        }
      }
    },
  ]
};

cPropsPerRegion.setOption(cPropsPerRegionOptions);

const chartExtractions = document.getElementById('extractions');
const cExtractions = echarts.init(chartExtractions);

const filters = {
  regions: ["Alle", "Davos", "Engadin", "Heidiland", "St. Moritz"]
}

const cExtractionsOptions = {
  color: sharedOptions.basic.color,
  tooltip: {
    trigger: 'axis'
  },
  legend: {
    data: filters.regions
  },
  grid: sharedOptions.basic.grid,
  xAxis: {
    name: 'Zeitpunkt Scraping',
    nameLocation: 'center',
    nameGap: 24,
    nameTextStyle: {
      fontWeight: 'bold',
    },
    type: 'category',
    boundaryGap: false,
    data: extractionDates
  },
  yAxis: {
    name: 'Anzahl Mietobjekte',
    nameLocation: 'center',
    nameGap: 50,
    nameTextStyle: {
      fontWeight: 'bold',
    },
    type: 'value'
  },
  series: [
    {
      name: 'Alle',
      type: 'line',
      stack: 'Total',
      data: {!! json_encode($growth['total_all']) !!},
    },
    {
      name: 'Davos',
      type: 'line',
      data: {!! json_encode($growth['total_davos']) !!}
    },
    {
      name: 'Engadin',
      type: 'line',
      data: {!! json_encode($growth['total_engadin']) !!}
    },
    {
      name: 'Heidiland',
      type: 'line',
      data: {!! json_encode($growth['total_heidiland']) !!}
    },
    {
      name: 'St. Moritz',
      type: 'line',
      data: {!! json_encode($growth['total_stmoritz']) !!}
    },
  ]
};

cExtractions.setOption(cExtractionsOptions);

const map = L.map('leaflet');

L.tileLayer('https://tile.openstreetmap.org/{z}/{x}/{y}.png', {
    maxZoom: 19,
    attribution: '&copy; <a href="http://www.openstreetmap.org/copyright">OpenStreetMap</a>'
}).addTo(map);

function icon(id){
  return L.divIcon({
    className: "region"+id,
    html: '<span></span>'
  })
}

const markers = L.featureGroup([
    @foreach($geo as $g)
    L.marker([{{ $g['latlng'] }}], {icon: icon({{ $g['region_id'] }})}).bindPopup('<a href="/property/{{ $g['property_id'] }}">{{ $g['latlng'] }}</a>'),
    @endforeach
]).addTo(map);

map.fitBounds(markers.getBounds(), {padding: [20,20]})

cHeatmap.on('click', 'series', (e) => {
  window.open(`/property/${e.value[1]}?date=${e.value[0]}`, '_self');
})

cPropsPerRegion.on('click', 'series', (e) => {
  console.log(e.dataIndex);
  //window.open(`/property/${e.value[1]}?date=${e.value[0]}`, '_self');
})



</script>
@endsection