// change to any of the .CSV files (latency, duration, etc)
// e.g. blocked, connected, duration, latency, req_body, res_body, rx, service, tx  
var filename = "latency.csv";
var containerSelection = d3.select('.heatmap-container')
var container = containerSelection.node()
var cw = container.clientWidth, ch = container.clientHeight
var margin = {top: 25, right: 100, bottom: 25, left: 50},
    width = cw - margin.left - margin.right,
    height = ch - margin.top - margin.bottom;

var parseDate = d3.timeParse("%Y-%m-%d-%H"),
    formatDate = d3.timeFormat("%m/%d @ %H"),
    tickFormat = function(d, i) { return d3.format(".1s")(d) },
    coerceTypes = function(d) {
      d.date = parseDate(d.date);
      d.bucket = +d.bucket;
      d.count = +d.count;
    }
;

var pluck = function (key) { 
  return function (obj) { 
    return obj[key]; 
  } 
};
var pipe = function () {  
    var args = [].slice.call(arguments).reverse(),
        f = args.shift(),
        g = args.shift(),
        fog = g ? function() { return f(g.apply(this, arguments)); } : f;

    return args.length ? compose.apply(this, [fog].concat(args)) : fog;
};

var x = d3.scaleTime().range([0, width]),
    y = d3.scaleBand().rangeRound([height, 0]),
    z = d3.scaleLinear().range(["white", "steelblue"]);

var xAxis = d3.axisBottom()
  .scale(x)
  .ticks()
  .tickFormat(formatDate);

var yAxis = d3.axisLeft()
  .scale(y)
  .tickFormat(tickFormat)

// The size of the buckets in the CSV data file.
// This could be inferred from the data if it weren't sparse.
var dayMs = 864e5,
    xStep = dayMs/24;

var svg = containerSelection.append("svg")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + (3*margin.bottom))
  .append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

var tooltip = d3.select('.histogram-container')
var barChart = BarChart()
barChart
  .margin(margin)
  .height(height)
  .width(width)

d3.csv(filename, function(error, rows) {
  if (error) throw error;
	drawHeatmap(rows)
});
function drawHeatmap(rows) { window.rows = rows;
  // Coerce the CSV data to the appropriate types.
  rows.forEach(coerceTypes);

  var keys = {
    bucket: pluck('bucket'),
    date: pipe(pluck('date'), formatDate)
  };

  var nest = {
    byBucket: d3.nest().key(keys.bucket),
    byDate: d3.nest().key(keys.date)
  };

  var map = {
    byBucket: nest.byBucket.map(rows, d3.map),
    byDate: nest.byDate.map(rows, d3.map)
  };

  // Compute the scale domains.
  x.domain(d3.extent(rows, pluck('date')));
  y.domain(map.byBucket.keys())
  z.domain(d3.extent(rows, function(d) { return d.count * d.bucket; }));

  // Extend the x-domain to fit the last bucket.
  x.domain([x.domain()[0], +x.domain()[1] + xStep]);

  // Display the tiles for each non-zero bucket.
  svg.selectAll(".tile")
      .data(rows)
    .enter().append("rect")
      .attr("class", "tile")
      .attr("x", function(d) { return x(d.date); })
      .attr("y", function(d) { return y(d.bucket)-y.bandwidth()/2; })
      .attr("width", x(xStep) - x(0))
      .attr("height", y.bandwidth())
      .style("fill", function(d) { return z(d.count * d.bucket); })
      .on('mouseover', function (d, i, all) {
				var histogram = map.byDate.get(keys.date(d))
        var data = d3.range(20).map(function(d){return {"x":d,"y":Math.floor(Math.random() * 100)}});
				var data2 = histogram.map(d => ({x: d.bucket, y: d.count }))
        console.log(data2)
        tooltip
          .datum(data2)
          .call(barChart);
        var message  = d.count + ' @ ' + d.bucket +' = ' + d.count * d.bucket
    	})
//       .on('mouseout', function (d) { tooltip.text('') })
    ;

  // Add a legend for the color values.
  var legend = svg.selectAll(".legend")
      .data(z.ticks(6).slice(1).reverse())
    .enter().append("g")
      .attr("class", "legend")
      .attr("transform", function(d, i) { return "translate(" + (width + 20) + "," + (20 + i * 20) + ")"; });

  legend.append("rect")
      .attr("width", 20)
      .attr("height", 20)
      .style("fill", z);

  legend.append("text")
      .attr("x", 26)
      .attr("y", 10)
      .attr("dy", ".35em")
      .text(tickFormat);

  svg.append("text")
      .attr("class", "label")
      .attr("x", width + 20)
      .attr("y", 10)
      .attr("dy", ".35em")
      .text("Count * Value");


  // Add an x-axis with label.
  svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxis)
    .append("text")
      .attr("class", "label")
      .attr("x", width)
      .attr("y", -6)
      .attr("text-anchor", "end")
      .text("Date");

  // Add a y-axis with label.
  svg.append("g")
      .attr("class", "y axis")
      .call(yAxis)
    .append("text")
      .attr("class", "label")
      .attr("y", 6)
      .attr("dy", ".71em")
      .attr("text-anchor", "end")
      .attr("transform", "rotate(-90)")
      .text("Value")
  ;
}