Updated report mobile version
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4 changed files with 353 additions and 185 deletions
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@ -1,93 +1,95 @@
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/* Generate the concentration plot using d3 library. */
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function draw_concentration_plot(svg_id, times, concentrations, exposed_presence_intervals) {
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var visBoundingBox = d3.select(svg_id)
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.node()
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.getBoundingClientRect();
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var time_format = d3.timeFormat('%H:%M');
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// H:M time format for x axis.
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var data = []
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times.map((time, index) => data.push({ 'time': time, 'hour': new Date().setHours(Math.trunc(time), (time - Math.trunc(time)) * 60), 'concentration': concentrations[index] }))
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// Prepare data
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times.map((time, index) => data.push({'time': time, 'hour': new Date().setHours(Math.trunc(time), (time - Math.trunc(time)) * 60), 'concentration': concentrations[index] }))
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var vis = d3.select(svg_id),
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width = visBoundingBox.width - 300,
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height = visBoundingBox.height,
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margins = { top: 30, right: 20, bottom: 50, left: 50 },
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// Add main SVG element
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var plot_div = document.getElementById(svg_id);
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var vis = d3.select(plot_div).append('svg');
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var xRange = d3.scaleTime().domain([data[0].hour, data[data.length - 1].hour]);
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var xTimeRange = d3.scaleLinear().domain([data[0].time, data[data.length - 1].time]);
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var bisecHour = d3.bisector((d) => { return d.hour; }).left;
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// H:M time format for x axis.
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xRange = d3.scaleTime().range([margins.left, width - margins.right]).domain([data[0].hour, data[data.length - 1].hour]),
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xTimeRange = d3.scaleLinear().range([margins.left, width - margins.right]).domain([data[0].time, data[data.length - 1].time]),
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bisecHour = d3.bisector((d) => { return d.hour; }).left,
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yRange = d3.scaleLinear().range([height - margins.bottom, margins.top]).domain([0., Math.max(...concentrations)]),
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xAxis = d3.axisBottom(xRange).tickFormat(d => time_format(d)),
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yAxis = d3.axisLeft(yRange);
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// Plot tittle.
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plot_title(vis, width, margins.top, 'Mean concentration of virions');
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var yRange = d3.scaleLinear().domain([0., Math.max(...concentrations)]);
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// Line representing the mean concentration.
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plot_scenario_data(vis, data, xTimeRange, yRange, '#1f77b4');
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// X axis.
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plot_x_axis(vis, height, width, margins, xAxis, 'Time of day');
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// Y axis
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plot_y_axis(vis, height, width, margins, yAxis, 'Mean concentration (virions/m³)')
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var lineFunc = d3.line();
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var draw_line = vis.append('svg:path')
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.attr('stroke', '#1f77b4')
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.attr('stroke-width', 2)
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.attr('fill', 'none');
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// Area representing the presence of exposed person(s).
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exposed_presence_intervals.forEach(b => {
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var curveFunc = d3.area()
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.x(d => xTimeRange(d.time))
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.y0(height - margins.bottom)
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.y1(d => yRange(d.concentration));
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vis.append('svg:path')
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.attr('d', curveFunc(data.filter(d => {
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return d.time >= b[0] && d.time <= b[1]
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})))
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var exposedArea = {};
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var drawArea = {};
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exposed_presence_intervals.forEach((b, index) => {
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exposedArea[index] = d3.area();
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drawArea[index] = vis.append('svg:path')
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.attr('fill', '#1f77b4')
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.attr('fill-opacity', '0.1');
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})
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});
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// Plot tittle.
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var plotTitleEl = vis.append('svg:foreignObject')
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.attr("background-color", "transparent")
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.attr('height', 30)
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.style('text-align', 'center')
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.html('<b>Mean concentration of virions</b>');
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// X axis declaration.
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var xAxisEl = vis.append('svg:g')
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.attr('class', 'x axis');
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// X axis label.
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var xAxisLabelEl = vis.append('text')
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.attr('class', 'x label')
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.attr('fill', 'black')
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.attr('text-anchor', 'middle')
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.text('Time of day')
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// Y axis declaration.
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var yAxisEl = vis.append('svg:g')
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.attr('class', 'y axis');
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// Y axis label.
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var yAxisLabelEl = vis.append('svg:text')
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.attr('class', 'y label')
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.attr('fill', 'black')
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.attr('text-anchor', 'middle')
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.text('Mean concentration (virions/m³)');
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// Legend for the plot elements - line and area.
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var size = 20
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vis.append('rect')
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.attr('x', width + size)
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.attr('y', margins.top + size)
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var legendLineIcon = vis.append('rect')
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.attr('width', 20)
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.attr('height', 3)
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.style('fill', '#1f77b4');
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vis.append('rect')
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.attr('x', width + size)
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.attr('y', 3 * size)
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var legendAreaIcon = vis.append('rect')
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.attr('width', 20)
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.attr('height', 20)
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.attr('fill', '#1f77b4')
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.attr('fill-opacity', '0.1');
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vis.append('text')
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.attr('x', width + 3 * size)
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.attr('y', margins.top + size)
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var legendLineText = vis.append('text')
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.text('Mean concentration')
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.style('font-size', '15px')
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.attr('alignment-baseline', 'central');
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vis.append('text')
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.attr('x', width + 3 * size)
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.attr('y', margins.top + 2 * size)
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var legendAreaText = vis.append('text')
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.text('Presence of exposed person(s)')
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.style('font-size', '15px')
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.attr('alignment-baseline', 'central');
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// Legend bounding box.
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vis.append('rect')
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// Legend bounding
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var legendBBox = vis.append('rect')
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.attr('width', 275)
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.attr('height', 50)
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.attr('x', width * 1.005)
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.attr('y', margins.top + 5)
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.attr('stroke', 'lightgrey')
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.attr('stroke-width', '2')
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.attr('rx', '5px')
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@ -122,15 +124,111 @@ function draw_concentration_plot(svg_id, times, concentrations, exposed_presence
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.attr('x', 18)
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.attr('y', 18);
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vis.append('rect')
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var toolBox = vis.append('rect')
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.attr('fill', 'none')
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.attr('pointer-events', 'all')
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.attr('width', width - margins.right)
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.attr('height', height)
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.on('mouseover', () => { focus.style('display', null); })
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.on('mouseout', () => { focus.style('display', 'none'); })
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.on('mousemove', mousemove);
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function redraw() {
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// Define width and height according to the screen size.
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var div_width = plot_div.clientWidth;
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var div_height = plot_div.clientHeight;
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var graph_width = div_width;
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var graph_height = div_height
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if (div_width >= 900) { // For screens with width > 900px legend can be on the graph's right side.
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var margins = { top: 30, right: 20, bottom: 50, left: 50 };
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div_width = 900;
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graph_width = div_width * (2/3);
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}
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else {
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var margins = { top: 30, right: 5, bottom: 50, left: 20 };
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graph_height = div_height * 0.85; // On mobile screen sizes we want the legend to be on the bottom of the graph.
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};
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// Use the extracted size to set the size of the SVG element.
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vis.attr("width", div_width)
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.attr('height', div_height);
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// SVG components according to the width and height.
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// Axis ranges.
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xRange.range([margins.left, graph_width - margins.right]);
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xTimeRange.range([margins.left, graph_width - margins.right]);
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yRange.range([graph_height - margins.bottom, margins.top])
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// Line.
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lineFunc.defined(d => !isNaN(d.concentration))
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.x(d => xTimeRange(d.time))
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.y(d => yRange(d.concentration));
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draw_line.attr("d", lineFunc(data));
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// Area.
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exposed_presence_intervals.forEach((b, index) => {
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exposedArea[index].x(d => xTimeRange(d.time))
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.y0(graph_height - margins.bottom)
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.y1(d => yRange(d.concentration));
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drawArea[index].attr('d', exposedArea[index](data.filter(d => {
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return d.time >= b[0] && d.time <= b[1]
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})));
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});
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// Title.
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plotTitleEl.attr('width', graph_width);
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// Axis.
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var xAxis = d3.axisBottom(xRange).tickFormat(d => time_format(d));
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var yAxis = d3.axisLeft(yRange);
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xAxisEl.attr('transform', 'translate(0,' + (graph_height - margins.bottom) + ')')
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.call(xAxis);
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xAxisLabelEl.attr('x', (graph_width + margins.right) / 2)
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.attr('y', graph_height * 0.97);
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yAxisEl.attr('transform', 'translate(' + margins.left + ',0)').call(yAxis);
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yAxisLabelEl.attr('x', (graph_height + margins.bottom) / 2)
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.attr('y', (graph_height + margins.left) * 0.92)
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.attr('transform', 'rotate(-90, 0,' + graph_height + ')');
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// Legend on right side.
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const size = 20;
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if (plot_div.clientWidth >= 900) {
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legendLineIcon.attr('x', graph_width + size)
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.attr('y', margins.top + size);
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legendLineText.attr('x', graph_width + 3 * size)
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.attr('y', margins.top + size);
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legendAreaIcon.attr('x', graph_width + size)
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.attr('y', margins.top + 1.5 * size);
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legendAreaText.attr('x', graph_width + 3 * size)
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.attr('y', margins.top + 2 * size);
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legendBBox.attr('x', graph_width * 1.005)
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.attr('y', margins.top * 1.2);
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}
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// Legend on the bottom.
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else {
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legendLineIcon.attr('x', size * 0.5)
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.attr('y', graph_height * 1.05);
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legendLineText.attr('x', 2 * size)
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.attr('y', graph_height * 1.05);
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legendAreaIcon.attr('x', size * 0.50)
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.attr('y', graph_height * 1.01 + size);
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legendAreaText.attr('x', 2 * size)
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.attr('y', graph_height + 1.7 * size);
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legendBBox.attr('x', 1)
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.attr('y', graph_height * 1.01);
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}
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// ToolBox.
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toolBox.attr('width', graph_width - margins.right)
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.attr('height', graph_height);
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}
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// Draw for the first time to initialize.
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redraw();
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function mousemove() {
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var x0 = xRange.invert(d3.pointer(event, this)[0]),
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i = bisecHour(data, x0, 1),
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@ -141,12 +239,17 @@ function draw_concentration_plot(svg_id, times, concentrations, exposed_presence
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focus.select('#tooltip-time').text('x = ' + time_format(d.hour));
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focus.select('#tooltip-concentration').text('y = ' + d.concentration.toFixed(2));
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}
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// Redraw based on the new size whenever the browser window is resized.
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window.addEventListener("resize", redraw);
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}
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// Generate the alternative scenarios plot using d3 library.
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// 'alternative_scenarios' is a dictionary with all the alternative scenarios
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// 'times' is a list of times for all the scenarios
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function draw_alternative_scenarios_plot(svg_id, width, height, alternative_scenarios, times) {
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function draw_alternative_scenarios_plot(concentration_plot_svg_id, alternative_plot_svg_id, times, alternative_scenarios) {
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// H:M format
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var time_format = d3.timeFormat('%H:%M');
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// D3 array of ten categorical colors represented as RGB hexadecimal strings.
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@ -171,148 +274,169 @@ function draw_alternative_scenarios_plot(svg_id, width, height, alternative_scen
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// We need one scenario to get the time range
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var first_scenario = Object.values(data_for_scenarios)[0]
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var vis = d3.select(svg_id),
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width = width,
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height = height,
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margins = { top: 30, right: 20, bottom: 50, left: 50 },
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// Add main SVG element
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var alternative_plot_div = document.getElementById(alternative_plot_svg_id);
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var vis = d3.select(alternative_plot_div).append('svg');
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// H:M time format for x axis.
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xRange = d3.scaleTime().range([margins.left, width - margins.right]).domain([first_scenario[0].hour, first_scenario[first_scenario.length - 1].hour]),
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xTimeRange = d3.scaleLinear().range([margins.left, width - margins.right]).domain([times[0], times[times.length - 1]]),
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var xRange = d3.scaleTime().domain([first_scenario[0].hour, first_scenario[first_scenario.length - 1].hour]);
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var xTimeRange = d3.scaleLinear().domain([times[0], times[times.length - 1]]);
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yRange = d3.scaleLinear().range([height - margins.bottom, margins.top]).domain([0., highest_concentration]),
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xAxis = d3.axisBottom(xRange).tickFormat(d => time_format(d)),
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yAxis = d3.axisLeft(yRange);
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// Plot title.
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plot_title(vis, width, margins.top, 'Mean concentration of virions');
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var yRange = d3.scaleLinear().domain([0., highest_concentration]);
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// Line representing the mean concentration for each scenario.
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var lineFuncs = {}, draw_lines = {}, label_icons = {}, label_text = {};
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for (const [scenario_name, data] of Object.entries(data_for_scenarios)) {
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var scenario_index = Object.keys(data_for_scenarios).indexOf(scenario_name)
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// Line representing the mean concentration.
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plot_scenario_data(vis, data, xTimeRange, yRange, colors[scenario_index])
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lineFuncs[scenario_name] = d3.line();
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draw_lines[scenario_name] = vis.append('svg:path')
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.attr("stroke", colors[scenario_index])
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.attr('stroke-width', 2)
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.attr('fill', 'none');
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// Legend for the plot elements - lines.
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var size = 20 * (scenario_index + 1)
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vis.append('rect')
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.attr('x', width + 20)
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.attr('y', margins.top + size)
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label_icons[scenario_name] = vis.append('rect')
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.attr('width', 20)
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.attr('height', 3)
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.style('fill', colors[scenario_index]);
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vis.append('text')
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.attr('x', width + 3 * 20)
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.attr('y', margins.top + size)
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label_text[scenario_name] = vis.append('text')
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.text(scenario_name)
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.style('font-size', '15px')
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.attr('alignment-baseline', 'central');
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}
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// Plot title.
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var plotTitleEl = vis.append('svg:foreignObject')
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.attr("background-color", "transparent")
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.attr('height', 30)
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.style('text-align', 'center')
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.html('<b>Mean concentration of virions</b>');
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// X axis.
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plot_x_axis(vis, height, width, margins, xAxis, "Time of day");
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var xAxisEl = vis.append('svg:g')
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.attr('class', 'x axis');
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// X axis label.
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var xAxisLabelEl = vis.append('text')
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.attr('class', 'x label')
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.attr('fill', 'black')
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.attr('text-anchor', 'middle')
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.text('Time of day');
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// Y axis declaration.
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vis.append('svg:g')
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.attr('class', 'y axis')
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.attr('transform', 'translate(' + margins.left + ',0)')
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.call(yAxis);
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var yAxisEl = vis.append('svg:g')
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.attr('class', 'y axis');
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// Y axis label.
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vis.append('svg:text')
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var yAxisLabelEl = vis.append('svg:text')
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.attr('class', 'y label')
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.attr('fill', 'black')
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.attr('transform', 'rotate(-90, 0,' + height + ')')
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.attr('text-anchor', 'middle')
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.attr('x', (height + margins.bottom) / 2)
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.attr('y', (height + margins.left) * 0.92)
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.text('Mean concentration (virions/m³)');
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// Legend bounding box.
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vis.append('rect')
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var legendBBox = vis.append('rect')
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.attr('width', 275)
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.attr('height', 25 * (Object.keys(data_for_scenarios).length))
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.attr('x', width * 1.005)
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.attr('y', margins.top + 5)
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.attr('stroke', 'lightgrey')
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.attr('stroke-width', '2')
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.attr('rx', '5px')
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.attr('ry', '5px')
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.attr('stroke-linejoin', 'round')
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.attr('fill', 'none');
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}
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function redraw() {
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// Define width and height according to the screen size.
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var div_width = document.getElementById(concentration_plot_svg_id).clientWidth;
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var div_height = document.getElementById(concentration_plot_svg_id).clientHeight;
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var graph_width = div_width;
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var graph_height = div_height
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if (div_width >= 900) { // For screens with width > 900px legend can be on the graph's right side.
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var margins = { top: 30, right: 20, bottom: 50, left: 50 };
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div_width = 900;
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graph_width = div_width * (2/3);
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}
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else {
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var margins = { top: 30, right: 5, bottom: 50, left: 20 };
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graph_height = div_height * 0.8; // On mobile screen sizes we want the legend to be on the bottom of the graph.
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};
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// Functions used to build the plots' components
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// Use the extracted size to set the size of the SVG element.
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vis.attr("width", div_width)
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.attr('height', div_height);
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||||
|
||||
function plot_title(vis, width, margin_top, title) {
|
||||
vis.append('svg:foreignObject')
|
||||
.attr('width', width)
|
||||
.attr('height', margin_top)
|
||||
.attr('fill', 'none')
|
||||
.append('xhtml:div')
|
||||
.style('text-align', 'center')
|
||||
.html(title);
|
||||
// SVG components according to the width and height.
|
||||
|
||||
return vis;
|
||||
}
|
||||
// Axis ranges.
|
||||
xRange.range([margins.left, graph_width - margins.right]);
|
||||
xTimeRange.range([margins.left, graph_width - margins.right]);
|
||||
yRange.range([graph_height - margins.bottom, margins.top]);
|
||||
|
||||
function plot_x_axis(vis, height, width, margins, xAxis, label) {
|
||||
// X axis declaration
|
||||
vis.append('svg:g')
|
||||
.attr('class', 'x axis')
|
||||
.attr('transform', 'translate(0,' + (height - margins.bottom) + ')')
|
||||
.call(xAxis);
|
||||
for (const [scenario_name, data] of Object.entries(data_for_scenarios)) {
|
||||
var scenario_index = Object.keys(data_for_scenarios).indexOf(scenario_name)
|
||||
// Lines.
|
||||
lineFuncs[scenario_name].defined(d => !isNaN(d.concentration))
|
||||
.x(d => xTimeRange(d.time))
|
||||
.y(d => yRange(d.concentration));
|
||||
draw_lines[scenario_name].attr("d", lineFuncs[scenario_name](data));
|
||||
|
||||
// X axis label.
|
||||
vis.append('text')
|
||||
.attr('class', 'x label')
|
||||
.attr('fill', 'black')
|
||||
.attr('text-anchor', 'middle')
|
||||
.attr('x', (width + margins.right) / 2)
|
||||
.attr('y', height * 0.97)
|
||||
.text(label);
|
||||
// Legend on right side.
|
||||
var size = 20 * (scenario_index + 1);
|
||||
if (document.getElementById(concentration_plot_svg_id).clientWidth >= 900) {
|
||||
label_icons[scenario_name].attr('x', graph_width + 20)
|
||||
.attr('y', margins.top + size);
|
||||
label_text[scenario_name].attr('x', graph_width + 3 * 20)
|
||||
.attr('y', margins.top + size);
|
||||
}
|
||||
// Legend on the bottom.
|
||||
else {
|
||||
label_icons[scenario_name].attr('x', margins.left * 0.5)
|
||||
.attr('y', graph_height + size);
|
||||
label_text[scenario_name].attr('x', margins.left * 1.75)
|
||||
.attr('y', graph_height + size);
|
||||
}
|
||||
|
||||
return vis;
|
||||
}
|
||||
}
|
||||
|
||||
function plot_y_axis(vis, height, width, margins, yAxis, label) {
|
||||
// Y axis declaration.
|
||||
vis.append('svg:g')
|
||||
.attr('class', 'y axis')
|
||||
.attr('transform', 'translate(' + margins.left + ',0)')
|
||||
.call(yAxis);
|
||||
// Title.
|
||||
plotTitleEl.attr('width', graph_width);
|
||||
|
||||
// Y axis label.
|
||||
vis.append('svg:text')
|
||||
.attr('class', 'y label')
|
||||
.attr('fill', 'black')
|
||||
.attr('transform', 'rotate(-90, 0,' + height + ')')
|
||||
.attr('text-anchor', 'middle')
|
||||
.attr('x', (height + margins.bottom) / 2)
|
||||
.attr('y', (height + margins.left) * 0.92)
|
||||
.text(label);
|
||||
// Axis.
|
||||
var xAxis = d3.axisBottom(xRange).tickFormat(d => time_format(d));
|
||||
var yAxis = d3.axisLeft(yRange);
|
||||
|
||||
return vis;
|
||||
xAxisEl.attr('transform', 'translate(0,' + (graph_height - margins.bottom) + ')')
|
||||
.call(xAxis);
|
||||
xAxisLabelEl.attr('x', (graph_width + margins.right) / 2)
|
||||
.attr('y', graph_height * 0.97)
|
||||
|
||||
}
|
||||
yAxisEl.attr('transform', 'translate(' + margins.left + ',0)')
|
||||
.call(yAxis);
|
||||
yAxisLabelEl.attr('transform', 'rotate(-90, 0,' + graph_height + ')')
|
||||
.attr('x', (graph_height + margins.bottom) / 2)
|
||||
.attr('y', (graph_height + margins.left) * 0.92);
|
||||
|
||||
function plot_scenario_data(vis, data, xTimeRange, yRange, line_color) {
|
||||
var lineFunc = d3.line()
|
||||
.defined(d => !isNaN(d.concentration))
|
||||
.x(d => xTimeRange(d.time))
|
||||
.y(d => yRange(d.concentration))
|
||||
.curve(d3.curveBasis);
|
||||
// Legend on right side.
|
||||
if (document.getElementById(concentration_plot_svg_id).clientWidth >= 900) {
|
||||
legendBBox.attr('x', graph_width * 1.02)
|
||||
.attr('y', margins.top * 1.15);
|
||||
|
||||
}
|
||||
// Legend on the bottom.
|
||||
else {
|
||||
legendBBox.attr('x', 1)
|
||||
.attr('y', graph_height * 1.01)
|
||||
}
|
||||
}
|
||||
|
||||
vis.append('svg:path')
|
||||
.attr('d', lineFunc(data))
|
||||
.attr("stroke", line_color)
|
||||
.attr('stroke-width', 2)
|
||||
.attr('fill', 'none');
|
||||
// Draw for the first time to initialize.
|
||||
redraw();
|
||||
|
||||
return vis;
|
||||
// Redraw based on the new size whenever the browser window is resized.
|
||||
window.addEventListener("resize", redraw);
|
||||
}
|
||||
|
|
@ -8,6 +8,7 @@
|
|||
|
||||
<link rel="stylesheet" type="text/css" href="{{ calculator_prefix }}/static/css/report.css">
|
||||
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css" integrity="sha384-ggOyR0iXCbMQv3Xipma34MD+dH/1fQ784/j6cY/iJTQUOhcWr7x9JvoRxT2MZw1T" crossorigin="anonymous">
|
||||
<link rel="stylesheet" href="/static/css/style.css">
|
||||
<script src="https://d3js.org/d3.v7.min.js"></script>
|
||||
<script src="{{ calculator_prefix }}/static/js/report.js" type="application/javascript"></script>
|
||||
|
||||
|
|
@ -17,14 +18,14 @@
|
|||
|
||||
{% block report_header %}
|
||||
|
||||
<div id="report-header-div" class="d-flex flex-row">
|
||||
<img id="cara_logo" src="/static/images/cara_logo.200x200.png" class="d-inline-block align-middle">
|
||||
<div class="d-flex align-self-center flex-column mr-auto" style="margin-left: 1em;">
|
||||
<h2 class="text-component-title mb-0">CARA - CALCULATOR REPORT</h1>
|
||||
<p class="mb-0"> Created {{ creation_date }} using CARA calculator version v{{ form.calculator_version }}</p>
|
||||
<div id="report-header-div" class="d-flex flex-row" style="margin: 1%">
|
||||
<img id="report_logo" src="/static/images/cara_logo.200x200.png" class="d-inline-block align-middle mr-3">
|
||||
<div style="margin-right: -105px" class='align-self-center mr-auto'>
|
||||
<h2 class="header_text mb-0">CARA - CALCULATOR REPORT</h1>
|
||||
<p class="mb-0" id="report_version"> Created {{ creation_date }} using CARA calculator version v{{ form.calculator_version }}</p>
|
||||
</div>
|
||||
<button type="button" class="btn btn-outline-dark align-self-center" id="print-button" style="margin-right: -100pt" onclick="print()">Print Report</button>
|
||||
<a href="{{ permalink.link }}" style="float: left;" id="pdf_qrcode_aref" class="align-self-center invisible"><div id="pdf_qrcode"></div></a>
|
||||
<button type="button" class="btn btn-outline-dark align-self-center" id="download-pdf" style="margin-right: -100pt" onclick="print()">Print Report</button>
|
||||
<a href="{{ permalink.link }}" style="float: left;" id="pdf_qrcode_aref" class="align-self-center invisible mr-0"><div id="pdf_qrcode"></div></a>
|
||||
</div>
|
||||
|
||||
{% endblock report_header %}
|
||||
|
|
@ -59,8 +60,8 @@
|
|||
<p class="card-text">
|
||||
<div class="align-self-center">
|
||||
<div class="d-flex">
|
||||
|
||||
<div style="min-width: 25%">
|
||||
<div class="split">
|
||||
<div class="col-md-3">
|
||||
<div style="text-align:center"><b>Probability of infection (%)</b></div>
|
||||
<div class="d-flex" style="min-height: 160px">
|
||||
{% block warning_animation %}
|
||||
|
|
@ -74,23 +75,26 @@
|
|||
{% endblock warning_animation %}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{% block report_summary %}
|
||||
<div class="align-self-center alert alert-dark" role="alert">
|
||||
Taking into account the uncertainties tied to the model variables, in this scenario, the <b>probability of one exposed occupant getting infected is {{ prob_inf | non_zero_percentage }}</b> and the <b>expected number of new cases is {{ expected_new_cases | float_format }}</b>*.
|
||||
</div>
|
||||
{% endblock report_summary %}
|
||||
<div class="col-md-8 pr-0 pl-0">
|
||||
{% block report_summary %}
|
||||
<div class="align-self-center alert alert-dark" role="alert">
|
||||
Taking into account the uncertainties tied to the model variables, in this scenario, the <b>probability of one exposed occupant getting infected is {{ prob_inf | non_zero_percentage }}</b> and the <b>expected number of new cases is {{ expected_new_cases | float_format }}</b>*.
|
||||
</div>
|
||||
{% endblock report_summary %}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{% block report_summary_footnote %}
|
||||
{% endblock report_summary_footnote %}
|
||||
</div>
|
||||
<p id="section1">* The results are based on the parameters and assumptions published in the CERN Open Report <a href="https://cds.cern.ch/record/2756083"> CERN-OPEN-2021-004</a>.</p>
|
||||
<svg id="result_plot" width="900" height="400"></svg>
|
||||
|
||||
<div id="concentration_plot" style="height: 400px"></div>
|
||||
<script type="application/javascript">
|
||||
var times = {{ times | JSONify }}
|
||||
var concentrations = {{ concentrations | JSONify }}
|
||||
var exposed_presence_intervals = {{ exposed_presence_intervals | JSONify }}
|
||||
draw_concentration_plot("#result_plot", times, concentrations, exposed_presence_intervals);
|
||||
draw_concentration_plot("concentration_plot", times, concentrations, exposed_presence_intervals);
|
||||
</script>
|
||||
</p>
|
||||
</div>
|
||||
|
|
@ -107,12 +111,13 @@
|
|||
<div class="collapse" id="collapseAlternativeScenarios">
|
||||
<div class="card-body">
|
||||
<div>
|
||||
<svg id="alternative_scenario_plot" width="900" height="400"></svg>
|
||||
<div id="alternative_scenario_plot" style="height: 400px"></div>
|
||||
<script type="application/javascript">
|
||||
var alternative_scenarios = {{ alternative_scenarios.stats | JSONify }}
|
||||
var times = {{ times | JSONify }}
|
||||
draw_alternative_scenarios_plot("#alternative_scenario_plot", width=600, height=400, alternative_scenarios, times);
|
||||
draw_alternative_scenarios_plot("concentration_plot", "alternative_scenario_plot", times, alternative_scenarios);
|
||||
</script>
|
||||
<br>
|
||||
{% block report_scenarios_summary_table %}
|
||||
<table class="table w-auto">
|
||||
<thead class="thead-light">
|
||||
|
|
@ -160,13 +165,13 @@
|
|||
</div>
|
||||
<div class="collapse show" id="collapseQRcode">
|
||||
<div class="card-body">
|
||||
<div>
|
||||
<a href="{{ permalink.link }}" style="float: left;"><div id="qrcode"></div></a>
|
||||
<span style="float: left; min-height: 250pt; line-height: 250pt; vertical-align: middle; display: inline-block;">
|
||||
<div class="split">
|
||||
<div><a href="{{ permalink.link }}" style="float: left;"><div id="qrcode"></div></a></div>
|
||||
<div class="align-self-center"><span style="float: left; vertical-align: middle; display: inline-block;">
|
||||
<p style="display: inline-block; vertical-align: middle; line-height: normal;">
|
||||
Click the QR code to regenerate the report and get a shareable link.<br>Alternatively, scan to regenerate the report.<br>
|
||||
</p>
|
||||
</span>
|
||||
</span></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
|
@ -390,7 +395,7 @@
|
|||
|
||||
{% block disclaimer_container %}
|
||||
<br><br><br>
|
||||
<div style="border: 2px solid black; padding: 15px;">
|
||||
<div style="border: #dee2e6 1px solid; margin: 1%; padding: 20px" class="rounded">
|
||||
{% block disclaimer %}
|
||||
<p class="image"> <img align="middle" src="{{ calculator_prefix }}/static/images/disclaimer.jpg" width="40" height="40"><b>Disclaimer:</b><br><br></p>
|
||||
|
||||
|
|
|
|||
|
|
@ -22,7 +22,7 @@
|
|||
{% endblock warning_animation %}
|
||||
|
||||
{% block report_summary %}
|
||||
<div class="flex-row w-75 align-self-center">
|
||||
<div class="flex-row align-self-center">
|
||||
{% if ((prob_inf > 15) or (expected_new_cases >= 1)) %}
|
||||
<div class="alert alert-danger" role="alert">
|
||||
<strong>Not Acceptable:</strong>
|
||||
|
|
@ -120,14 +120,16 @@
|
|||
<p class="card-text">
|
||||
Please ensure that this scenario conforms to current COVID-related <a href="https://hse.cern/covid-19-information"> Health & Safety requirements</a>, under the applicable COVID Scale and measures in force at the time of the CARA assessment.</strong> <br>
|
||||
The results of this simulation are colour coded according to the risk values authorized at CERN (approved in December 2020):
|
||||
</p>
|
||||
</p><br>
|
||||
<div class="d-flex">
|
||||
<div class="d-flex flex-column justify-content-between">
|
||||
<div class="alert alert-success ml-3" role="alert">Events with a <strong>P(i) less than 5%</strong> may go ahead without further mitigation measures.</div>
|
||||
<div class="alert alert-warning ml-3" role="alert">Events with a <strong>P(i) between 5% and 15%</strong> shall be subject to ALARA principles (see footnote) to minimise the risk before proceeding.</div>
|
||||
<div class="alert alert-danger ml-3 mb-0" role="alert">Events with a <strong>P(i) exceeding 15% or a number of expected new cases that exceeds 1</strong> may not take place until additional measures are in place and a risk reduction has been performed.</div>
|
||||
<div class="split">
|
||||
<div class="d-flex flex-column col-md-8 p-0">
|
||||
<div class="alert alert-success" role="alert">Events with a <strong>P(i) less than 5%</strong> may go ahead without further mitigation measures.</div>
|
||||
<div class="alert alert-warning" role="alert">Events with a <strong>P(i) between 5% and 15%</strong> shall be subject to ALARA principles (see footnote) to minimise the risk before proceeding.</div>
|
||||
<div class="alert alert-danger mb-0" role="alert">Events with a <strong>P(i) exceeding 15% or a number of expected new cases that exceeds 1</strong> may not take place until additional measures are in place and a risk reduction has been performed.</div>
|
||||
</div>
|
||||
<div class="col-md-3 align-self-center text-align-center"><img id="cern_level" class="rounded" src="{{ calculator_prefix }}/static/images/warning_scale/{{scale_warning.level}}.png"></div>
|
||||
</div>
|
||||
<img class="rounded ml-4 align-self-center" src="{{ calculator_prefix }}/static/images/warning_scale/{{scale_warning.level}}.png">
|
||||
</div>
|
||||
<br>
|
||||
<p class="data_text">
|
||||
|
|
|
|||
|
|
@ -59,14 +59,14 @@ body {
|
|||
padding: .2rem;
|
||||
}
|
||||
|
||||
.nav-link {
|
||||
/* .nav-link {
|
||||
color: rgb(255, 255, 255)!important;
|
||||
}
|
||||
|
||||
.nav-link.active,
|
||||
.nav-link:hover {
|
||||
color: rgb(45, 138, 241)!important;
|
||||
}
|
||||
} */
|
||||
|
||||
/*============= SPLIT =============*/
|
||||
|
||||
|
|
@ -176,10 +176,16 @@ footer img {
|
|||
margin: 1.5rem auto;
|
||||
}
|
||||
|
||||
/*============= REPORT =============*/
|
||||
#report_logo {
|
||||
height: 4em;
|
||||
margin: 1%;
|
||||
}
|
||||
|
||||
/*============= MEDIA QUERIES =============*/
|
||||
|
||||
/* Devices over 640px (xl) */
|
||||
@media screen and (min-width: 40em) {
|
||||
@media (min-width: 40em) {
|
||||
.split {
|
||||
flex-direction: row;
|
||||
}
|
||||
|
|
@ -212,6 +218,37 @@ footer img {
|
|||
.header-text {
|
||||
font-size: 2rem;
|
||||
}
|
||||
|
||||
#report_logo {
|
||||
height: 6em;
|
||||
margin: 1%;
|
||||
}
|
||||
}
|
||||
|
||||
@media (max-width: 40em) {
|
||||
#body {
|
||||
font-size: .75rem;
|
||||
padding: 10px;
|
||||
}
|
||||
.header_text {
|
||||
font-size: 2vh;
|
||||
}
|
||||
.nav-link {
|
||||
padding: .5rem .5rem!important;
|
||||
}
|
||||
#report_version {
|
||||
font-size: .5rem;
|
||||
}
|
||||
#download-pdf, #pdf_qrcode_aref {
|
||||
display: none;
|
||||
}
|
||||
#cern_level{
|
||||
height: 15em;
|
||||
margin-top: 1em;
|
||||
}
|
||||
#link_reproduce_results {
|
||||
display: none;
|
||||
}
|
||||
}
|
||||
/* Devices under 768px (md) */
|
||||
/* @media (max-width: 767.98px) {
|
||||
|
|
|
|||
Loading…
Reference in a new issue