estimation.html
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{% extends "base.html" %}
{% block title %}Estimation {{ estimation.public_id }} of your ✈ travel footprint{% endblock %}
{% block hero %}
<div class="jumbotron">
{% if estimation.has_failed() %}
<h1>{{ content.estimation.failure.hero.title | safe }}</h1>
<p>{{ content.estimation.failure.hero.description | markdown | safe }}</p>
{% else %}
<h1>{{ content.estimation.hero.title | safe }}</h1>
<p>{{ content.estimation.hero.description | markdown | safe }}</p>
{% endif %}
</div>
{% endblock %}
{% macro render_footprint(footprint) %}
{% if footprint > 1000 %}
{{ "%.1f" | format((footprint/1000.0) | round(1)) }} tons CO<sub>2</sub><small>EQ</small>
{% else %}
{{ "%.1f" | format((footprint) | round(1)) }} kg CO<sub>2</sub><small>EQ</small>
{% endif %}
{% endmacro %}
{% macro render_cities(cities) %}
<ul class="numbered-list">
{% for city in cities %}
<li>
<span class="city-name" title="{{ city.address }}">
{% if loop.first %}
<strong>
{% endif %}
{{ city.city }}, {{ city.country }}
{% if loop.first %}
</strong>
{% endif %}
</span>
–
{{ render_footprint(city.footprint) }}
–
{{ "%d" | format(city.distance | round() | int) }} km
</li>
{% endfor %}
</ul>
{% endmacro %}
{% block body %}
<h2>
{{ estimation.get_display_name() }} ({{ estimation.status.name }})
</h2>
{% if estimation.errors %}
<div class="row">
<div class="col-md-12 alert-danger card">
<div class="card-body">
<h3 class="card-title">Errors</h3>
<pre>
{{ estimation.errors }}
</pre>
</div>
</div>
</div>
<hr>
{% endif %}
{% if estimation.warnings %}
<div class="row">
<div class="col-md-12 alert-warning card">
<div class="card-body">
<h3 class="card-title">Warnings</h3>
<pre>
{{ estimation.warnings }}
</pre>
</div>
</div>
</div>
<hr>
{% endif %}
{% if not estimation.has_failed() %}
<div class="row">
Using
{% for model in estimation.get_models() %}
{{ model.name }}{{ ',' if not loop.last }}
{% endfor %}
{% if estimation.use_train_below_km > 0 %}
and train travel assumed for distances below {{ estimation.use_train_below_km }} km
{% endif %}
.
{# <h4>Total CO<sub>2</sub> footprint (in kilograms-equivalent) of each city</h4>#}
{# <div id="cities_footprints_d3viz" class="plot-container"></div>#}
<hr>
<div id="cities_footprints_spinner" class="lds-ripple text-center"><div></div><div></div><div></div></div>
{# This MUST stay empty (because Simg uses svg.getparentnode.innerhtml) #}
<div id="cities_footprints_d3viz_lollipop" class="plot-container">
</div>
{# <br>#}
{# <p>A Legend here</p>#}
</div>
<hr>
{# EMISSIONS PER DISTANCE HISTOGRAM ##########################################}
{# That plot makes no sense with our many to many data. #}
{% if not estimation.is_many_to_many() %}
<div class="row">
<div id="emissions_per_distance_histogram" class="plot-container"></div>
</div>
<hr>
{% endif %}
{#############################################################################}
{# SORTED EMISSIONS INEQUALITY ##########################################}
{# That plot makes no sense with our many to many data. #}
{% if not estimation.is_many_to_many() %}
<div class="row">
<div id="sorted_emissions_inequality" class="plot-container"></div>
</div>
<hr>
{% endif %}
{#############################################################################}
{% endif %}{# not estimation.has_failed() #}
{# LIST OF CITIES ############################################################}
<div class="row">
{% if not estimation.has_failed() %}
<div class="col-md-6">
{#
The estimation sum is only meaningful when
there's a single origin or a single destination.
#}
{% if not estimation.is_many_to_many() %}
<h4 class="salient">
Total:
<em>
{{ render_footprint(estimation_sum) }}
</em>
</h4>
{% endif %}
{% if estimation.is_one_to_one() %}
{{ content.estimation.lolliplot.one_to_one | markdown | safe }}
{{ render_cities(estimation_output.cities) }}
{% elif estimation.is_many_to_one() %}
{{ content.estimation.lolliplot.many_to_one | markdown | safe }}
{{ render_cities(estimation_output.cities) }}
{% elif estimation.is_one_to_many() %}
{{ content.estimation.lolliplot.one_to_many | markdown | safe }}
{{ render_cities(estimation_output.cities) }}
{% elif estimation.is_many_to_many() %}
{{ content.estimation.lolliplot.many_to_many | markdown | safe }}
{{ render_cities(estimation_output.cities) }}
{% endif %}
</div>
<div class="col-md-6">
<ul class="nav">
<li class="nav-item m-4">
<a href="/estimation/{{ estimation.public_id }}.csv" class="btn btn-lg btn-primary">
Download CSV
</a>
</li>
<li class="nav-item m-4">
<a href="/estimation/{{ estimation.public_id }}.yml" class="btn btn-lg btn-warning">
Download Raw YAML
</a>
</li>
<li class="nav-item m-4">
<a id="cities_footprints_d3viz_lollipop_download"
href="#"
title="This may not work on IE nor Edge. Please use a decent browser like Firefox."
class="btn btn-lg btn-secondary">
Download Plot SVG
</a>
</li>
<li class="nav-item m-4">
<a id="cities_footprints_d3viz_lollipop_download_png"
href="#"
title="This may not work on IE nor Edge."
class="btn btn-lg btn-secondary">
Download Plot PNG
</a>
</li>
{# <li class="nav-item m-4">#}
{# <a href="/estimation/{{ estimation.public_id }}.xls" class="btn btn-lg btn-secondary disabled">#}
{# Download XLS#}
{# </a>#}
{# </li>#}
{# <li class="nav-item m-4">#}
{# <a href="/estimation/{{ estimation.public_id }}.ods" class="btn btn-lg btn-secondary disabled">#}
{# Download ODS#}
{# </a>#}
{# </li>#}
</ul>
<hr>
<div id="d3viz_travels" class="plot-container-noborder"></div>
</div>
</div>
<hr>
{#<div class="row">#}
{# <div class="col-md-6">#}
{# <h3>Raw Output <small>(YAML)</small></h3>#}
{# <pre>#}
{#{{ estimation.output_yaml }}#}
{# </pre>#}
{# </div>#}
{#</div>#}
<div>
{{ content.estimation.footer | markdown | safe }}
</div>
{# Buffer to drop the PNG image into, to trick firefox into downloading the PNG #}
<div id="png_buffer"></div>
{% endif %}{# not estimation.has_failed() #}
{% endblock %}
{#############################################################################}
{#############################################################################}
{% block js %}
{% if not estimation.has_failed() %}
{# Eventually, once we're done with plots, use flask's asset minifier #}
<script src="/static/js/vendor/d3.v6.js"></script>
<script src="/static/js/vendor/d3-legend.js"></script>
<script src="/static/js/vendor/d3-scale-chromatic.v1.min.js"></script>
<script src="/static/js/vendor/d3-geo-projection.v2.min.js"></script>
<script src="/static/js/plots/utils.js"></script>
<script src="/static/js/plots/emissions-per-distance.js"></script>
<script src="/static/js/plots/sorted_emissions_inequality.js"></script>
<script src="/static/js/plots/travel-legs-worldmap.js"></script>
<script type="text/javascript">
const plots_config = {
'cities_count': {{ estimation_output.cities | length }}
};
{% if not estimation.is_many_to_many() %}
draw_emissions_per_distance(
"#emissions_per_distance_histogram",
"/estimation/{{ estimation.public_id }}.csv"
);
draw_sorted_emissions_inequality(
"#sorted_emissions_inequality",
"/estimation/{{ estimation.public_id }}.csv"
);
{% endif %}
draw_travel_legs_worldmap(
"#d3viz_travels",
"/static/public/data/world-earth.geojson",
"/estimation/{{ estimation.public_id }}/trips_to_destination_0.csv"
);
{#
jQuery(document).ready(function($){
var vizid = "#cities_footprints_d3viz";
var csvUrl = "/estimation/{{ estimation.public_id }}.csv";
var x_key = 'city';
var y_key = 'co2 (kg)';
// Set the dimensions and margins of the graph
var margin = {top: 10, right: 30, bottom: 150, left: 150},
height = 666 - margin.top - margin.bottom;
var width = Math.max(880, $(vizid).parent().width());
width = width - margin.left - margin.right;
// Append the svg object to the body of the page
var svg = d3.select(vizid)
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")");
// Parse the Data
d3.csv(csvUrl, function(data) {
// Extrema
var data_y_max = d3.max(data, function(d) { return parseFloat(d[y_key]); });
var axis_y_max = ceil_value_to_magnitude(data_y_max);
// X axis
var x = d3.scaleBand()
.range([ 0, width ])
.domain(data.map(function(d) { return d[x_key]; }))
.padding(0.2);
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x))
.selectAll("text")
.attr("transform", "translate(-10,0)rotate(-45)")
.style("text-anchor", "end");
// Add Y axis
var y = d3.scaleLinear()
.range([ height, 0 ])
.domain([ 0, axis_y_max ]);
svg.append("g")
.call(d3.axisLeft(y));
// Bars
svg.selectAll("mybar")
.data(data)
.enter()
.append("rect")
.attr("x", function(d) { return x(d[x_key]); })
.attr("width", x.bandwidth())
.attr("fill", "#d0808b")
// Hide bars at the beginning
.attr("height", function(d) { return height - y(0); }) // always equal to 0
.attr("y", function(d) { return y(0); });
// Animation
svg.selectAll("rect")
.transition()
.duration(800)
.attr("y", function(d) { return y(d[y_key]); })
.attr("height", function(d) { return height - y(d[y_key]); })
.delay(function(d, i) { return(i*100); });
// …
});
});
#}
jQuery(document).ready(function($){
var vizid = "#cities_footprints_d3viz_lollipop";
var csvUrl = "/estimation/{{ estimation.public_id }}.csv";
var y_key = 'city';
var x_key = 'co2_kg';
var margin = {top: 40, right: 40, bottom: 150, left: 180},
height = Math.max(300, 100 + 16*plots_config['cities_count']) - margin.top - margin.bottom;
var width = Math.max(800, $(vizid).parent().width());
width = width - margin.left - margin.right;
var svg_tag = d3.select(vizid)
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom);
// Add a background
svg_tag.append("rect")
.attr("width", "100%")
.attr("height", "100%")
.attr("fill", "#ffffff");
var svg = svg_tag
.append("g")
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")");
d3.csv(csvUrl).then(function (data) {
// Extrema
var data_x_max = d3.max(data, function (d) {
return parseFloat(d[x_key]);
});
var axis_x_max = ceil_value_to_magnitude(data_x_max);
// X axis
var x = d3.scaleLinear()
.domain([0, axis_x_max])
.range([0, width]);
{#.nice();#}
svg.append("g")
.attr("class", "axis-bottom")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x))
.selectAll("text")
.attr("transform", "translate(-10,0)rotate(-45)")
.style("text-anchor", "end");
// Y axis
var y = d3.scaleBand()
.range([0, height])
.domain(data.map(function (d) {
return d[y_key];
}))
.padding(1);
svg.append("g")
.attr("class", "axis-left")
.call(d3.axisLeft(y));
{#svg.append("g")#}
{# .attr("class", "legendQuant")#}
{# .attr("transform", "translate(20,20)");#}
{##}
{#var legend = d3.legendColor()#}
{# .labelFormat(d3.format(".2f"))#}
{# .useClass(true)#}
{# .title("Legend")#}
{# .titleWidth(100)#}
{# .scale(y);#}
{##}
{#svg.select(".legendQuant")#}
{# .call(legend);#}
// Lines
svg.selectAll("myline")
.data(data)
.enter()
.append("line")
// .attr("x1", function (d) {
// return x(d[x_key]);
// })
.attr("class", "stick")
.attr("x1", x(0))
.attr("x2", x(0))
.attr("y1", function (d) {
return y(d[y_key]);
})
.attr("y2", function (d) {
return y(d[y_key]);
})
.attr("stroke", "grey");
// Circles
svg.selectAll("mycircle")
.data(data)
.enter()
.append("circle")
.attr("cx", function (d) {
return x(d[x_key]);
})
.attr("cy", function (d) {
return y(d[y_key]);
})
.attr("r", "0") // animated below
.style("fill", "#69b3a2")
.attr("stroke", "black");
// Value text on mouse hover
svg.selectAll("hoverrects")
.data(data)
.enter()
.append("rect")
.style("opacity", 0)
.attr("class", "hover_trigger")
.attr("data-target", function (d, i) {
return "hover_value_" + i.toString();
})
.attr("x", function (d) {
return 0;
})
.attr("y", function (d) {
return y(d[y_key])-6;
})
.attr("width", width)
.attr("height", 13)
.on("mouseenter", function (d) {
var target_id = d3.select(this).attr("data-target");
d3.select("#"+target_id).style("opacity", 1);
d3.select("#shadow_"+target_id).style("opacity", 1);
})
.on("mouseleave", function (d) {
var target_id = d3.select(this).attr("data-target");
d3.select("#"+target_id).style("opacity", 0);
d3.select("#shadow_"+target_id).style("opacity", 0);
});
var compute_text_anchor = function (d) {
if (x(d[x_key]) < width / 2.0) {
return 'start';
} else {
return 'end';
}
};
var compute_text_text = function (d) {
return Math.round(d[x_key]).toLocaleString() + " kg CO\u2082";
};
var compute_text_transform = function (d) {
var x_pos = x(d[x_key]);
if (x_pos < width / 2.0) {
return "translate("+(x(d[x_key])+7)+","+(y(d[y_key])+4)+")";
} else {
return "translate("+(x(d[x_key])-9)+","+(y(d[y_key])+4)+")";
}
};
svg.selectAll("hovertextsshadows")
.data(data)
.enter()
.append("text")
.style("opacity", 0)
.style("pointer-events", "none")
.style("stroke", "white")
.style("stroke-width", "0.618em")
.attr("id", function (d, i) {
return "shadow_hover_value_" + i.toString();
})
.attr("class", "value-text")
.attr("font-size", 10)
.attr("text-anchor", compute_text_anchor)
.attr("transform", compute_text_transform)
.text(compute_text_text);
svg.selectAll("hovertexts")
.data(data)
.enter()
.append("text")
.style("opacity", 0)
.style("pointer-events", "none")
.attr("id", function (d, i) {
return "hover_value_" + i.toString();
})
.attr("class", "value-text")
.attr("font-size", 10)
.attr("text-anchor", compute_text_anchor)
.attr("transform", compute_text_transform)
.text(compute_text_text);
// Animations
var animation_duration = 300;
var animation_delay = 100;
svg.selectAll("circle")
.transition()
.duration(animation_duration)
.attr("r", "4")
.delay(function (d, i) { return(i*animation_delay); });
svg.selectAll("line.stick")
.transition()
.duration(animation_duration*0.618)
.attr("x1", function (d) { return x(d[x_key]); })
.delay(function (d, i) { return(i*animation_delay); });
// Title
svg.append("g")
.append('text')
.attr("transform", "translate("+(-180+width/2.0)+","+(height+111)+")")
.text("CO\u2082 emissions equivalent (kg) per target city.");
// Download SVG
$(vizid+"_download").click(function(e){
e.stopPropagation();
// Show the values
$(vizid+" svg .value-text").css("opacity", 1);
// This possibly won't work on IE and Edge
saveSvg($(vizid + " svg")[0], "travel_carbon_footprint_{{ estimation.public_id }}.svg");
// Hide the values
$(vizid+" svg .value-text").css("opacity", 0);
return false;
});
// Download PNG
$(vizid+"_download_png").click(function(e){
e.stopPropagation();
// Show the values
$(vizid+" svg .value-text").css("opacity", 1);
// May not work everywhere, but…
var simg = new Simg($(vizid + " svg")[0]);
simg.download("travel_carbon_footprint_{{ estimation.public_id }}");
// Hide the values
$(vizid+" svg .value-text").css("opacity", 0);
return false;
});
$('#cities_footprints_spinner').hide();
});
});
</script>
{% endif %}
{% endblock %}