"use strict";
function trellisChart(anchor, monoGroups) {
/*
* FIXME: There is a lot of hardcoding going on in here.
*/
/* attr -> {dim, group} key -> str amount, value -> { str, agi, vit, dex, int, luk } */
/* Array of all attribute names */
var attrs = monoGroups.map(function(d) { return d.name; });
var attrsIdByName = {};
monoGroups.forEach(function(d, i) { attrsIdByName[d.name] = i; });
/* Parameters. FIXME: Tightly coupled. */
var cellWidth = 5;
var radius = cellWidth / 2;
var subChartLength = 57;
var subChartUnpaddedLength = 50;
var subChartPadding = 7;
var chartLen = subChartLength * attrs.length - subChartPadding;
/* Padding in pixels to pad the left side of the chart with to make room for the labels. */
var labelPadding = 25;
var filler = d3.scale.log().domain([1, 2]).range([0, 255]);
var domainMin = 0, domainMax = 100;
var attrGroups = 10;
var axisLabelHeight = 9;
var margin = {top: 10, right: 10, bottom: 20, left: 10};
var anchor = d3.select(anchor);
var g = anchor.select("g");
var _chart = function() {
if (g.empty()) {
/* Make stuff! */
var svg = anchor.append("svg").attr("height", 400);
/* Group of dimension labels. */
var dimLabelsG = svg
.append("g")
.attr("transform", "translate(" + (margin.left + labelPadding) + "," + (margin.top) + ")")
;
var dimLabels;
dimLabels = dimLabelsG.selectAll("g.y-axis-dim-label")
.data(attrs)
;
/* Each label is shifted downwards by its distance from the origin. */
/* Since the origin (0,0) in svg differs from the origin (0,0) in our charts, we must go backwards down the y axis here. */
/* One instance of padding must be removed from this offset to get the correct distance, since this is working from the back. */
dimLabels.enter().append("g").attr("class", "y-axis-dim-label")
.attr("transform", function(d, i) { return "translate(0," + ((attrs.length - i) * subChartLength - subChartPadding) + ")"; })
.each(function(d, i) {
var t = d3.select(this);
/* The -8 here is an insignificant offset to distinguish the dimension label from the domain labels. */
t
.append("text")
.attr("transform", "translate(-8," + (-subChartUnpaddedLength / 2 + axisLabelHeight / 2) + ")")
.attr("class", "dim-label")
.text(d)
;
/* Top subchart separators */
t
.append("line")
.attr("x1", 0)
.attr("x2", chartLen)
.attr("y1", 0)
.attr("y2", 0)
.attr("class", "border-line")
;
/* Bottom subchart separators */
t
.append("line")
.attr("x1", 0)
.attr("x2", chartLen)
.attr("y1", -subChartUnpaddedLength)
.attr("y2", -subChartUnpaddedLength)
.attr("class", "border-line")
;
/* Y Domain markers */
t
.append("text")
.attr("transform", "translate(0," + (-subChartUnpaddedLength + axisLabelHeight) + ")")
.text(domainMax)
;
t
.append("text")
.attr("transform", "translate(0,0)")
.text(domainMin)
;
})
;
dimLabels = dimLabelsG.selectAll("g.x-axis-dim-label")
.data(attrs)
;
dimLabels.enter().append("g").attr("class", "x-axis-dim-label")
.attr("transform", function(d, i) { return "translate(" + (i * subChartLength) + "," + chartLen + ")"; })
.each(function(d, i) {
var t = d3.select(this);
/* The dimension label is placed at a y level directly after the domain labels. */
t
.append("text")
.attr("transform", "translate("+ (subChartUnpaddedLength / 2) + "," + (axisLabelHeight * 2) + ")")
.attr("class", "dim-label")
.text(d)
;
/* Left subchart separators */
t
.append("line")
.attr("x1", 0)
.attr("x2", 0)
.attr("y1", 0)
.attr("y2", -chartLen)
.attr("class", "border-line")
;
/* Right subchart separators */
t
.append("line")
.attr("x1", subChartUnpaddedLength)
.attr("x2", subChartUnpaddedLength)
.attr("y1", 0)
.attr("y2", -chartLen)
.attr("class", "border-line")
;
/* X Domain markers */
t
.append("text")
.attr("transform", "translate(" + subChartUnpaddedLength + "," + axisLabelHeight + ")")
.style("text-anchor", "end")
.text(domainMax)
;
t
.append("text")
.attr("transform", "translate(0," + axisLabelHeight + ")")
.style("text-anchor", "start")
.text(domainMin)
;
})
;
/* Group of subcharts. */
/* Adjust the translation by the radius of each circle - the origin of each circle is the middle. */
/* This makes their starting position consistent with the rest of the graph. */
g = svg
.append("g")
.attr("transform", "translate(" + (margin.left + labelPadding + radius) + "," + (margin.top - radius) + ")");
}
/* Group first into columns for each stat. We have one column for each of the stat monoGroups. */
/*
* monoGroups is an array of each stat dimension. We can consider each column to have data in the following format:
* { group: function, dim: function, name: stat }
*/
var columns = g.selectAll(".column")
.data(monoGroups);
var colE = columns
.enter().append("g")
.attr("class", "column")
.attr("transform", function(d) { return "translate(" + (attrsIdByName[d.name] * subChartLength) + ",0)"; })
;
/* Each stat has an array for its value. Group these to find the x position. */
/*
* The function transforms the data to take the grouping. We can consider each x position grouping to have data in the following format:
* { key: position, value: [{[stat] -> [y pos] -> count}] }
*/
var colposg = columns.selectAll(".colpos")
.data(function(d, i) {
// console.log("Incoming colposg format:", d, i, "Transformed to:", d.group.all().map(function(d2) { d2.name = d.name; return d2; }));
return d.group.all().map(function(d2) { d2.name = d.name; return d2; });
}, function(d) { return d.key; });
colposg
.enter().append("g")
.attr("class", "colpos")
.attr("transform", function(d) { return "translate(" + (d.key * cellWidth) + ",0)"; })
;
/* Next, split up each x position grouping into its y stat grouping. */
/*
* We can consider each y stat grouping to have data in the following format:
* v[y pos] -> count; v.name -> name
*/
var rows = colposg.selectAll(".row")
.data(function(d, i) {
// console.log("Incoming row format:", d, i, "Transformed to:", attrs.map(function(d2) { return { name: d2, data: d.value[d2] }; }));
return attrs.map(function(d2) { return { name: d2, data: d.value[d2] }; });
});
rows
.enter().append("g")
.attr("class", "row")
.attr("transform", function(d) { return "translate(0," + ((attrs.length - attrsIdByName[d.name] - 1) * subChartLength) + ")"; })
;
/* Finally, split up each y stat grouping into x. */
var vmax = 0;
var cells = rows.selectAll(".cell")
.data(function(d, i) {
// console.log("Incoming cells format:", d, i, "Transformed to:", d.data);
return d.data;
});
cells
.enter().append("circle")
.attr("class", "cell")
.attr("r", radius)
;
cells
.each(function(d) {
if (d > vmax) vmax = d;
})
;
filler.domain([1, vmax + 1]);
cells
.attr("fill", function(d) {
return d ? d3.rgb(255 - filler(d + 1), 255 - filler(d + 1) / 2, 255 - filler(d + 1) / 3) : "white";
})
.attr("transform", function(d, i) { return "translate(0," + ((attrGroups-i) * cellWidth) + ")"; })
;
cells
.exit()
.remove()
;
}
_chart.filter = function() {
/*
* TODO:
* This is going to be interesting. As the chart is not charting a single
* monogroup, and most code is built around this assumption, this might
* well end up being a messy special case.
*/
return null;
}
return _chart;
}
