def _add_datum(self, t, value):
shift = max(0, int(math.ceil((t - self.last_bin_end)/self.desc.bin_width)))
- self.bins = _shift(self.bins, shift, (0, 0))
+ self.bins = _shift(self.bins, shift, (self.ds_desc.zero_element, 0))
self.last_bin_end += shift*self.desc.bin_width
bin = int(math.ceil((self.last_bin_end - self.desc.bin_width - t)/self.desc.bin_width))
return
prev_total, prev_count = self.bins[bin]
- self.bins[bin] = prev_total + value, prev_count + 1
+ self.bins[bin] = self.ds_desc.add_operator(prev_total, value), prev_count + 1
def get_data(self, t):
shift = max(0, int(math.ceil((t - self.last_bin_end)/self.desc.bin_width)))
- bins = _shift(self.bins, shift, (0, 0))
+ bins = _shift(self.bins, shift, (self.ds_desc.zero_element, 0))
last_bin_end = self.last_bin_end + shift*self.desc.bin_width
assert last_bin_end - self.desc.bin_width <= t <= last_bin_end
return [(
(min(t, last_bin_end - self.desc.bin_width*i) + (last_bin_end - self.desc.bin_width*(i + 1)))/2, # center time
- (total/count if count else None) if self.ds_desc.source_is_cumulative
- else total/(min(t, last_bin_end - self.desc.bin_width*i) - (last_bin_end - self.desc.bin_width*(i + 1))), # value
+ (self.ds_desc.mult_operator(1/count, total) if count else None) if self.ds_desc.source_is_cumulative
+ else self.ds_desc.mult_operator(1/(min(t, last_bin_end - self.desc.bin_width*i) - (last_bin_end - self.desc.bin_width*(i + 1))), total), # value
min(t, last_bin_end - self.desc.bin_width*i) - (last_bin_end - self.desc.bin_width*(i + 1)), # width
) for i, (total, count) in enumerate(bins)]
class DataStreamDescription(object):
- def __init__(self, source_is_cumulative, dataview_descriptions):
+ def __init__(self, source_is_cumulative, dataview_descriptions, zero_element=0, add_operator=lambda x, y: x+y, mult_operator=lambda a, x: a*x):
self.source_is_cumulative = source_is_cumulative
self.dataview_descriptions = dataview_descriptions
+ self.zero_element = zero_element
+ self.add_operator = add_operator
+ self.mult_operator = mult_operator
class DataStream(object):
def __init__(self, desc, dataviews):
dv_data = ds_data[dv_name]
if dv_data['bin_width'] == dv_desc.bin_width and len(dv_data['bins']) == dv_desc.bin_count:
return DataView(dv_desc, ds_desc, dv_data['last_bin_end'], dv_data['bins'])
- return DataView(dv_desc, ds_desc, 0, dv_desc.bin_count*[(0, 0)])
+ return DataView(dv_desc, ds_desc, 0, dv_desc.bin_count*[(ds_desc.zero_element, 0)])
return cls(dict(
(ds_name, DataStream(ds_desc, dict(
(dv_name, get_dataview(ds_name, ds_desc, dv_name, dv_desc))
shape-rendering: crispEdges;
}
- .rate {
- stroke: #0000FF;
- stroke-width: 1.4;
- fill: none;
- }
-
- .deadrate {
- stroke: #FF0000;
+ .plotline {
stroke-width: 1.4;
fill: none;
}
<h2>Peers - Blue=Incoming, Red=Outgoing</h2>
<svg id="peers"></svg>
+ <h2>Miners - Blue=All, Red=Dead (hash/second)</h2>
+ <div id="miners"></div>
+
<script type="text/javascript">
function compose() {
var funcs = arguments;
function itemgetter(i) { return function(x) { return x[i]; } }
function as_date(x) { return new Date(1000*x); }
function not_null(x) { return x != null; }
+ function identity(x) { return x; }
function getData(url) {
var xmlhttp = new XMLHttpRequest();
return JSON.parse(xmlhttp.responseText);
}
- function plot(g, blue, red) {
- var data = getData("/web/graph_data/" + blue);
- if(red)
- var dead_data = getData("/web/graph_data/" + red);
- else
- var dead_data = [];
+ function get_avg(data, value_getter) {
+ var top = 0;
+ var bottom = 0;
+ for(var i = 0; i < data.length; i++) {
+ var value = value_getter(data[i][1]);
+ if(value == null) continue; // no data for bin
+ top += value * data[i][2];
+ bottom += data[i][2];
+ }
+ if(bottom == 0) return null; // no data at all
+ return top/bottom;
+ }
+
+ function plot(g, lines) {
+ // lines is a list of objects which have attributes data, value_getter, color
var w = 640;
var h = 300;
var margin = 50;
var margin_top = 10;
- var x = d3.time.scale().domain([as_date(d3.min(data, itemgetter(0))), as_date(d3.max(data, itemgetter(0)))]).range([0 + margin * 2, w - margin * 2]);
- var y = d3.scale.linear().domain([0, d3.max(data.concat(dead_data), itemgetter(1))]).range([h - margin, margin_top]);
+ var x = d3.time.scale().domain([
+ as_date(d3.min(lines, function(line) { return d3.min(line.data, itemgetter(0)); })),
+ as_date(d3.max(lines, function(line) { return d3.max(line.data, itemgetter(0)); }))
+ ]).range([0 + margin * 2, w - margin * 2]);
+ var y = d3.scale.linear().domain([
+ 0,
+ d3.max(lines, function(line) { return d3.max(line.data, compose(line.value_getter, itemgetter(1))); } )
+ ]).range([h - margin, margin_top]);
- var line = d3.svg.line().x(compose(x, as_date, itemgetter(0))).y(compose(y, itemgetter(1))).defined(compose(not_null, itemgetter(1)));
g.attr("width", w).attr("height", h);
g.selectAll("*").remove();
- g.append("svg:path")
- .attr("d", line(data))
- .attr("class", "rate");
-
- g.append("svg:path")
- .attr("d", line(dead_data))
- .attr("class", "deadrate");
+ for(var i = 0; i < lines.length; ++i) {
+ var line = lines[i];
+ var line_type = d3.svg.line().x(compose(x, as_date, itemgetter(0))).y(compose(y, line.value_getter, itemgetter(1))).defined(compose(not_null, line.value_getter, itemgetter(1)));
+ g.append("svg:path")
+ .attr("d", line_type(line.data))
+ .attr("stroke", line.color)
+ .attr("class", "plotline");
+ var mean = get_avg(line.data, line.value_getter);
+ if(mean != null)
+ g.append("svg:text")
+ .text("-Mean: " + d3.format(".3s")(mean))
+ .attr("text-anchor", "start")
+ .attr("dominant-baseline", "central")
+ .attr("fill", line.color)
+ .attr("x", w - 2*margin)
+ .attr("y", y(mean));
+ }
+ // x axis
g.append("svg:line")
.attr("x1", margin * 2)
.attr("x2", x)
.attr("y2", h - margin + 5);
+ // y axis
g.append("svg:line")
.attr("x1", margin * 2)
.attr("y", y)
.attr("dominant-baseline", "central")
.attr("text-anchor", "middle");
-
- function get_avg(data) {
- var top = 0;
- var bottom = 0;
- for(var i = 0; i < data.length; i++) {
- if(data[i][1] == null) continue; // no data for bin
- top += data[i][1] * data[i][2];
- bottom += data[i][2];
- }
- if(bottom == 0) return null; // no data at all
- return top/bottom;
- }
-
- var mean = get_avg(data);
- if(mean != null) {
- g.append("svg:text")
- .text("-Mean: " + d3.format(".3s")(mean))
- .attr("text-anchor", "start")
- .attr("dominant-baseline", "central")
- .attr("fill", "#0000FF")
- .attr("x", w - 2*margin)
- .attr("y", y(mean));
- }
-
- var mean2 = get_avg(dead_data);
- if(mean2 != null) {
- g.append("svg:text")
- .text("-Mean: " + d3.format(".3s")(mean2))
- .attr("text-anchor", "start")
- .attr("dominant-baseline", "central")
- .attr("fill", "#FF0000")
- .attr("x", w - 2*margin)
- .attr("y", y(mean2));
- }
}
- function attachGraph(e, blue, red) {
- plot(e, blue, red);
- //setInterval(function() { plot(e, blue, red); }, 5000);
+ function change_period(period) {
+ d3.select("#period_current").text(period);
+ var lowerperiod = period.toLowerCase();
+ plot(d3.select("#local"), [
+ {"data": getData("/web/graph_data/local_hash_rate/last_" + lowerperiod), "value_getter": identity, "color": "#0000FF"},
+ {"data": getData("/web/graph_data/local_dead_hash_rate/last_" + lowerperiod), "value_getter": identity, "color": "#FF0000"}
+ ]);
+ plot(d3.select("#payout"), [
+ {"data": getData("/web/graph_data/current_payout/last_" + lowerperiod), "value_getter": identity, "color": "#0000FF"}
+ ]);
+ plot(d3.select("#pool"), [
+ {"data": getData("/web/graph_data/pool_rate/last_" + lowerperiod), "value_getter": identity, "color": "#0000FF"},
+ {"data": getData("/web/graph_data/pool_stale_rate/last_" + lowerperiod), "value_getter": identity, "color": "#FF0000"}
+ ]);
+ plot(d3.select("#peers"), [
+ {"data": getData("/web/graph_data/incoming_peers/last_" + lowerperiod), "value_getter": identity, "color": "#0000FF"},
+ {"data": getData("/web/graph_data/outgoing_peers/last_" + lowerperiod), "value_getter": identity, "color": "#FF0000"}
+ ]);
+
+ var data = getData("/web/graph_data/miner_hash_rates/last_" + lowerperiod);
+ var dead_data = getData("/web/graph_data/miner_dead_hash_rates/last_" + lowerperiod);
+ var users = {}; for(var i = 0; i < data.length; ++i) for(var u in data[i][1]) users[u] = null; for(var i = 0; i < dead_data.length; ++i) for(var u in dead_data[i][1]) users[u] = null;
+ var userlist = []; for(var u in users) userlist.push(u);
+ d3.select("#miners").selectAll("*").remove();
+ var div = d3.select("#miners").selectAll().data(userlist).enter().append("div");
+ d.append("h3").text(identity);
+ d.append("svg:svg").each(function(u) {
+ function f(d) {
+ return u in d ? d[u] : 0;
+ }
+ plot(d3.select(this), [
+ {"data": data, "value_getter": f, "color": "#0000FF"},
+ {"data": dead_data, "value_getter": f, "color": "#FF0000"}
+ ]);
+ });
}
periods = ["Hour", "Day", "Week", "Month", "Year"];
d3.select("#period_chooser").selectAll().data(periods).enter().append("span")
- .text(function(x){return x;})
+ .text(identity)
.on("click", change_period)
.attr("style", function(d, i) { return (i == 0 ? "" : "margin-left:.4em;") + "color:blue;text-decoration:underline;cursor:pointer" });
- function change_period(period) {
- var lowerperiod = period.toLowerCase();
- attachGraph(d3.select("#local"), "local_hash_rate/last_" + lowerperiod, "local_dead_hash_rate/last_" + lowerperiod);
- attachGraph(d3.select("#payout"), "current_payout/last_" + lowerperiod);
- attachGraph(d3.select("#pool"), "pool_rate/last_" + lowerperiod, "pool_stale_rate/last_" + lowerperiod);
- attachGraph(d3.select("#peers"), "incoming_peers/last_" + lowerperiod, "outgoing_peers/last_" + lowerperiod);
- d3.select("#period_current").text(period);
- }
change_period(periods[1]);
</script>
</body>