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    <template>
    
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        <section id="beeswarm">
    
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          <div id="text1" class="text-container">
            <p>
              Everyone needs access to clean water. Water insecurity is influenced by a number of social vulnerability indicators. This includes 
              <span 
    
                :class="['highlight', 'Demographiccharacteristics', { checked: isChecked.Demographiccharacteristics }]" 
                @click="toggleCategory('Demographiccharacteristics')"
    
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              >
                demographic characteristics
              </span>,
              <span 
    
                :class="['highlight', 'Health', { checked: isChecked.Health }]" 
                @click="toggleCategory('Health')"
    
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              >
                health
              </span>, 
              <span 
    
                :class="['highlight', 'Livingconditions', { checked: isChecked.Livingconditions }]" 
                @click="toggleCategory('Livingconditions')"
    
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              >
                living conditions
              </span>, 
              <span 
    
                :class="['highlight', 'Socioeconomicstatus', { checked: isChecked.Socioeconomicstatus }]" 
                @click="toggleCategory('Socioeconomicstatus')"
    
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              >
                socioeconomic status
              </span>,
              <span 
    
                :class="['highlight', 'Riskperception', { checked: isChecked.Riskperception }]" 
                @click="toggleCategory('Riskperception')"
    
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              >
                risk perception
              </span>,
              <span 
    
                :class="['highlight', 'Landtenure', { checked: isChecked.Landtenure }]" 
                @click="toggleCategory('Landtenure')"
    
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              >
                land tenure
              </span>, and 
              <span 
    
                :class="['highlight', 'Exposure', { checked: isChecked.Exposure }]" 
                @click="toggleCategory('Exposure')"
    
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              >
                exposure to stressors
              </span> (like drought or pollution).
            </p>
          </div>
          <div id="beeswarm-chart-container"></div>
    
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        </section>
    
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      </template>
    
      
      <script setup>
      import { onMounted, ref } from "vue";
      import * as d3 from 'd3';
      
      // Global variables 
      const publicPath = import.meta.env.BASE_URL;
      const dataSet1 = ref([]); 
      const dataSet2 = ref([]); 
      const selectedDataSet = ref('dataSet1');
      const data = ref([]);
      let simulation;
      
      // Set up SVG
      let svg;
      const height = 800;
      const width = 800;
      const margin = { top: 30, right: 20, bottom: 20, left: 30 };
      
      const isChecked = ref({
        Demographiccharacteristics: true,
        Health: true,
        Livingconditions: true,
        Socioeconomicstatus: true,
        Riskperception: true,
        Landtenure: true,
        Exposure: true
      });
      
      // Set colors for bubble charts
      const dimensionColors = {
        Demographiccharacteristics: "#092836",
        Landtenure: "#1b695e",
        Livingconditions: "#7a5195",
        Socioeconomicstatus: "#2a468f",
        Health: "#ef5675",
        Riskperception: "#ff764a",
        Exposure: "#ffa600"
      };
      
      // Load data and then make chart
      onMounted(async () => {
        try {
          await loadDatasets();
          data.value = selectedDataSet.value === 'dataSet1' ? dataSet1.value : dataSet2.value;
          if (data.value.length > 0) {
            createBeeswarmChart();
          } else {
            console.error('Error loading data');
    
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          }
    
        } catch (error) {
          console.error('Error during component mounting', error);
    
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        }
    
      });
      
      async function loadDatasets() {
        try {
          dataSet1.value = await loadData('determinant_uncertainty.csv');
          dataSet2.value = await loadData('indicator_uncertainty.csv');
          console.log('data in')
        } catch (error) {
          console.error('Error loading datasets', error);
    
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        }
    
      }
      
      async function loadData(fileName) {
        try {
          const data = await d3.csv(publicPath + fileName, d => { 
            d.level_agreement = +(+d.level_agreement).toFixed(2); 
            d.evidence_val = +d.evidence_val; 
            d.sig_value = +d.sig_value; 
            return d;
          });
          return data;
        } catch (error) {
          console.error(`Error loading data from ${fileName}`, error);
          return [];
    
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        }
    
      }
      
      function createBeeswarmChart() {
        svg = d3
          .select('#beeswarm-chart-container')
          .append('svg')
          .attr('class', 'beeswarmSvg')
          .attr('width', width)
          .attr('height', height);
      
        const yScale = d3.scaleLinear()
          .domain([40, d3.max(data.value, d => d.level_agreement)])
          .range([margin.bottom + height, margin.top]);
    
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        // Set radius based on evidence value
        const radiusScale = d3.scaleLinear()
          .domain([d3.min(data.value, d => d.evidence_val), d3.max(data.value, d => d.evidence_val)])
          .range([10, 90]);
      
        const yAxis = svg.append('g')
          .attr("transform", "translate(50, 0)")
          .call(d3.axisLeft(yScale));
      
        // Add label to y axis
        svg.append('text')
          .attr("class", "yLabel")
          .attr("text-anchor", "start")
          .attr("x", 10)
          .attr("y", 20)
          .text("High level of Agreement");
      
        svg.append('text')
          .attr("class", "yLabel")
          .attr("text-anchor", "start")
          .attr("x", 10)
          .attr("y", height - 50)
          .text("Inconclusive");
      
        // Set forces
        const forceY = d3.forceY(d => yScale(d.level_agreement)).strength(1);
        const forceX = d3.forceX(width / 1.5).strength(0.1);
        const forceCollide = d3.forceCollide(d => radiusScale(d.evidence_val) + 2);
        const forceManyBody = d3.forceManyBody().strength(-15);
      
        const bubbles = svg
          .selectAll('.bubble')
          .data(data.value)
          .enter()
          .append('circle')
          .attr('class', 'bubble')
          .attr('r', d => radiusScale(d.evidence_val))
          .style('fill', d => dimensionColors[d.dimension.replace(' ', '')]);
      
        // Run simulation
        simulation = d3.forceSimulation()
          .force('x', forceX)
          .force('y', forceY)
          .force('collide', forceCollide)
          .force('charge', forceManyBody)
          .nodes(data.value)
          .on('tick', ticked)
          .alpha(0.2);
      
        function ticked() {
    
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          bubbles
    
            .attr("cx", d => d.x)
            .attr("cy", d => d.y);
    
      }
      
      function toggleCategory(category) {
        console.log(`Toggle category called for: ${category}`);
        isChecked.value[category] = !isChecked.value[category];
        console.log(`Category toggled: ${category}, new value: ${isChecked.value[category]}`);
        updateChart();
      }
      
      function updateChart() {
        console.log('Update chart called');
        const yScale = d3.scaleLinear()
          .domain([30, d3.max(data.value, d => d.level_agreement)])
          .range([margin.bottom + height, margin.top]);
      
        // Set radius based on evidence value
        const radiusScale = d3.scaleLinear()
          .domain([d3.min(data.value, d => d.evidence_val), d3.max(data.value, d => d.evidence_val)])
          .range([10, 90]);
      
        // Filter data based on active categories
        const activeCategories = Object.keys(isChecked.value).filter(category => isChecked.value[category]);
        const dataPoints = data.value.filter(d => activeCategories.includes(d.dimension.replace(' ', '')));
        console.log('Active categories:', activeCategories);
        console.log('Filtered data points:', dataPoints);
      
        // Update existing bubbles and add new bubbles
        const bubbles = svg.selectAll(".bubble")
          .data(dataPoints, d => d.id);
      
        // Remove old bubbles
        bubbles.exit().remove();
      
        // Update existing bubbles
        bubbles
          .attr('r', d => radiusScale(d.evidence_val))
          .attr('cx', d => d.x)
          .attr('cy', d => d.y)
          .style('fill', d => dimensionColors[d.dimension.replace(' ', '')]);
      
        // Add new bubbles
        bubbles.enter()
          .append('circle')
          .attr('class', 'bubble')
          .attr('r', d => radiusScale(d.evidence_val))
          .attr('cx', () => Math.random() * (width - margin.left - margin.right) + margin.left)
          .attr('cy', d => yScale(d.level_agreement))
          .style('fill', d => dimensionColors[d.dimension.replace(' ', '')]);
      
        // Restart simulation with new data
        simulation.nodes(dataPoints).alpha(0.2).restart();
      }
      </script>
      
      <style scoped lang="scss">
      $switchWidth: 12rem;
      $Demographiccharacteristics: #092836;
      $Landtenure: #1b695e;
      $Livingconditions: #7a5195;
      $Socioeconomicstatus: #2a468f;
      $Health: #ef5675;
      $Riskperception: #ff764a;
      $Exposure: #ffa600;
      
      #beeswarm-chart-container {
          text-align: center;
          position: relative;
      }
      
      #beeswarm-chart-container svg {
          max-width: 100%;
          max-height: 100%;
          height: auto; /* Maintain aspect ratio */
          display: inline-block;
      }
      
      .bubble {
          stroke: black;
          stroke-width: 2px; 
          fill-opacity: 0.8; 
      }
      
      .chart-text {
          user-select: none;
      }
      .yLabel {
          font-weight: bold;
      }
      
      .highlight {
          color: white;
          padding: 0.25px 5px;
          border-radius: 10px;
          white-space: nowrap;
          font-weight: bold;
          cursor: pointer; /* Add cursor pointer for better UX */
          transition: all 0.1s; /* Smooth transition for background color and border */
      }
      
      .highlight:not(.checked) {
          background-color: white;
          border: 2px solid;
      }
      .highlight.Demographiccharacteristics {
          background-color: $Demographiccharacteristics;
      }
      .highlight.Demographiccharacteristics:not(.checked) {
          color: $Demographiccharacteristics;
          border-color: $Demographiccharacteristics;
      }
      .highlight.Landtenure {
          background-color: $Landtenure;
      }
      .highlight.Landtenure:not(.checked) {
          color: $Landtenure;
          border-color: $Landtenure;
      }
      .highlight.Livingconditions {
          background-color: $Livingconditions;
      }
      .highlight.Livingconditions:not(.checked) {
          color: $Livingconditions;
          border-color: $Livingconditions;
      }
      .highlight.Socioeconomicstatus {
          background-color: $Socioeconomicstatus;
      }
      .highlight.Socioeconomicstatus:not(.checked) {
          color: $Socioeconomicstatus;
          border-color: $Socioeconomicstatus;
      }
      .highlight.Health {
          background-color: $Health;
      }
      .highlight.Health:not(.checked) {
          color: $Health;
          border-color: $Health;
      }
      .highlight.Riskperception {
          background-color: $Riskperception;
      }
      .highlight.Riskperception:not(.checked) {
          color: $Riskperception;
          border-color: $Riskperception;
      }
      .highlight.Exposure {
          background-color: $Exposure;
      }
      .highlight.Exposure:not(.checked) {
          color: $Exposure;
          border-color: $Exposure;
      }
      </style>