forked from statsd/statsd
/
process_metrics_tests.js
226 lines (219 loc) · 8.69 KB
/
process_metrics_tests.js
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var pm = require('../lib/process_metrics'),
_ = require('underscore');
module.exports = {
setUp: function (callback) {
this.time_stamp = Math.round(new Date().getTime() / 1000);
var counters = {};
var gauges = {};
var timers = {};
var timer_counters = {};
var sets = {};
var pctThreshold = null;
this.metrics = {
counters: counters,
gauges: gauges,
timers: timers,
timer_counters: timer_counters,
sets: sets,
pctThreshold: pctThreshold
}
callback();
},
counters_has_stats_count: function(test) {
test.expect(1);
this.metrics.counters['a'] = 2;
pm.process_metrics(this.metrics, 1000, this.time_stamp, function(){});
test.equal(2, this.metrics.counters['a']);
test.done();
},
counters_has_correct_rate: function(test) {
test.expect(1);
this.metrics.counters['a'] = 2;
pm.process_metrics(this.metrics, 100, this.time_stamp, function(){});
test.equal(20, this.metrics.counter_rates['a']);
test.done();
},
timers_handle_empty: function(test) {
test.expect(1);
this.metrics.timers['a'] = [];
this.metrics.timer_counters['a'] = 0;
pm.process_metrics(this.metrics, 100, this.time_stamp, function(){});
//potentially a cleaner way to check this
test.equal(undefined, this.metrics.counter_rates['a']);
test.done();
},
timers_single_time: function(test) {
test.expect(8);
this.metrics.timers['a'] = [100];
this.metrics.timer_counters['a'] = 1;
pm.process_metrics(this.metrics, 100, this.time_stamp, function(){});
timer_data = this.metrics.timer_data['a'];
test.equal(0, timer_data.std);
test.equal(100, timer_data.upper);
test.equal(100, timer_data.lower);
test.equal(1, timer_data.count);
test.equal(10, timer_data.count_ps);
test.equal(100, timer_data.sum);
test.equal(100, timer_data.mean);
test.equal(100, timer_data.median);
test.done();
},
timers_multiple_times: function(test) {
test.expect(8);
this.metrics.timers['a'] = [100, 200, 300];
this.metrics.timer_counters['a'] = 3;
pm.process_metrics(this.metrics, 100, this.time_stamp, function(){});
timer_data = this.metrics.timer_data['a'];
test.equal(81.64965809277261, timer_data.std);
test.equal(300, timer_data.upper);
test.equal(100, timer_data.lower);
test.equal(3, timer_data.count);
test.equal(30, timer_data.count_ps);
test.equal(600, timer_data.sum);
test.equal(200, timer_data.mean);
test.equal(200, timer_data.median);
test.done();
},
timers_single_time_single_percentile: function(test) {
test.expect(3);
this.metrics.timers['a'] = [100];
this.metrics.timer_counters['a'] = 1;
this.metrics.pctThreshold = [90];
pm.process_metrics(this.metrics, 100, this.time_stamp, function(){});
timer_data = this.metrics.timer_data['a'];
test.equal(100, timer_data.mean_90);
test.equal(100, timer_data.upper_90);
test.equal(100, timer_data.sum_90);
test.done();
},
timers_single_time_multiple_percentiles: function(test) {
test.expect(6);
this.metrics.timers['a'] = [100];
this.metrics.timer_counters['a'] = 1;
this.metrics.pctThreshold = [90, 80];
pm.process_metrics(this.metrics, 100, this.time_stamp, function(){});
timer_data = this.metrics.timer_data['a'];
test.equal(100, timer_data.mean_90);
test.equal(100, timer_data.upper_90);
test.equal(100, timer_data.sum_90);
test.equal(100, timer_data.mean_80);
test.equal(100, timer_data.upper_80);
test.equal(100, timer_data.sum_80);
test.done();
},
timers_multiple_times_single_percentiles: function(test) {
test.expect(3);
this.metrics.timers['a'] = [100, 200, 300];
this.metrics.timer_counters['a'] = 3;
this.metrics.pctThreshold = [90];
pm.process_metrics(this.metrics, 100, this.time_stamp, function(){});
timer_data = this.metrics.timer_data['a'];
test.equal(200, timer_data.mean_90);
test.equal(300, timer_data.upper_90);
test.equal(600, timer_data.sum_90);
test.done();
},
timers_multiple_times_multiple_percentiles: function(test) {
test.expect(6);
this.metrics.timers['a'] = [100, 200, 300];
this.metrics.timer_counters['a'] = 3;
this.metrics.pctThreshold = [90, 80];
pm.process_metrics(this.metrics, 100, this.time_stamp, function(){});
timer_data = this.metrics.timer_data['a'];
test.equal(200, timer_data.mean_90);
test.equal(300, timer_data.upper_90);
test.equal(600, timer_data.sum_90);
test.equal(150, timer_data.mean_80);
test.equal(200, timer_data.upper_80);
test.equal(300, timer_data.sum_80);
test.done();
},
timers_sampled_times: function(test) {
test.expect(8);
this.metrics.timers['a'] = [100, 200, 300];
this.metrics.timer_counters['a'] = 50;
this.metrics.pctThreshold = [90, 80];
pm.process_metrics(this.metrics, 100, this.time_stamp, function(){});
timer_data = this.metrics.timer_data['a'];
test.equal(50, timer_data.count);
test.equal(500, timer_data.count_ps);
test.equal(200, timer_data.mean_90);
test.equal(300, timer_data.upper_90);
test.equal(600, timer_data.sum_90);
test.equal(150, timer_data.mean_80);
test.equal(200, timer_data.upper_80);
test.equal(300, timer_data.sum_80);
test.done();
}, // check if the correct settings are being applied. as well as actual counts
timers_histogram: function (test) {
test.expect(13);
this.metrics.timers['a'] = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
this.metrics.timers['abc'] = [0.1234, 2.89, 4, 6, 8];
this.metrics.timers['foo'] = [0, 2, 4, 6, 8];
this.metrics.timers['barbazfoobar'] = [0, 2, 4, 6, 8];
this.metrics.timers['bar.bazfoobar.abc'] = [0, 2, 4, 6, 8];
this.metrics.timers['xyz'] = [0, 2, 4, 6, 8];
this.metrics.histogram = [ { metric: 'foo', bins: [] },
{ metric: 'abcd', bins: [ 1, 5, 'inf'] },
{ metric: 'abc', bins: [ 1, 2.21, 'inf'] },
{ metric: 'a', bins: [ 1, 2] } ];
pm.process_metrics(this.metrics, 100, this.time_stamp, function(){});
timer_data = this.metrics.timer_data;
// nothing matches the 'abcd' config, so nothing has bin_5
test.equal(undefined, timer_data['a']['histogram']['bin_5']);
test.equal(undefined, timer_data['abc']['histogram']['bin_5']);
// check that 'a' got the right config and numbers
test.equal(0, timer_data['a']['histogram']['bin_1']);
test.equal(1, timer_data['a']['histogram']['bin_2']);
test.equal(undefined, timer_data['a']['histogram']['bin_inf']);
// only 'abc' should have a bin_inf; also check all its counts,
// and make sure it has no other bins
test.equal(1, timer_data['abc']['histogram']['bin_1']);
test.equal(0, timer_data['abc']['histogram']['bin_2.21']);
test.equal(4, timer_data['abc']['histogram']['bin_inf']);
test.equal(3, _.size(timer_data['abc']['histogram']));
// these all have histograms disabled ('foo' explicitly, rest implicitly)
test.equal(undefined, timer_data['foo']['histogram']);
test.equal(undefined, timer_data['barbazfoobar']['histogram']);
test.equal(undefined, timer_data['bar.bazfoobar.abc']['histogram']);
test.equal(undefined, timer_data['xyz']['histogram']);
test.done();
},
timers_single_time_single_top_percentile: function(test) {
test.expect(3);
this.metrics.timers['a'] = [100];
this.metrics.pctThreshold = [-10];
pm.process_metrics(this.metrics, 100, this.time_stamp, function(){});
timer_data = this.metrics.timer_data['a'];
test.equal(100, timer_data.mean_top10);
test.equal(100, timer_data.lower_top10);
test.equal(100, timer_data.sum_top10);
test.done();
},
timers_multiple_times_single_top_percentile: function(test) {
test.expect(3);
this.metrics.timers['a'] = [10, 10, 10, 10, 10, 10, 10, 10, 100, 200];
this.metrics.pctThreshold = [-20];
pm.process_metrics(this.metrics, 100, this.time_stamp, function(){});
timer_data = this.metrics.timer_data['a'];
test.equal(150, timer_data.mean_top20);
test.equal(100, timer_data.lower_top20);
test.equal(300, timer_data.sum_top20);
test.done();
},
statsd_metrics_exist: function(test) {
test.expect(1);
pm.process_metrics(this.metrics, 100, this.time_stamp, function(){});
statsd_metrics = this.metrics.statsd_metrics;
test.notEqual(undefined, statsd_metrics["processing_time"]);
test.done();
},
timers_multiple_times_even: function(test) {
test.expect(1);
this.metrics.timers['a'] = [300, 200, 400, 100];
pm.process_metrics(this.metrics, 100, this.time_stamp, function(){});
timer_data = this.metrics.timer_data['a'];
test.equal(250, timer_data.median);
test.done();
}
}