def test_fold_metrics_works(self, monkeypatch):
"""
Tests that aggregators can fold metrics properly.
"""
now = 12
monkeypatch.setattr(time, "time", lambda: now)
metrics = [KeyValue("k", 1, now), Counter("j", 2)]
result = Aggregator(None)._fold_metrics(metrics)
assert 1 == result.count(("kv.k", 1, now))
assert 1 == result.count(("counts.j", 2, now))
def test_fold_metrics_works(self, monkeypatch):
"""
Tests that aggregators can fold metrics properly.
"""
now = 12
monkeypatch.setattr(time, 'time', lambda: now)
metrics = [KeyValue("k", 1, now), Counter("j", 2)]
result = Aggregator(None)._fold_metrics(metrics)
assert 1 == result.count(("kv.k", 1, now))
assert 1 == result.count(("counts.j", 2, now))
def test_fold_metrics_passes_metric_settings(self, monkeypatch):
"""
Tests that aggregators pass the proper metric settings when
folding over.
"""
now = 12
settings = {"ms": {"percentile": 80}}
metrics = [Timer("k", 20, now)]
monkeypatch.setattr(time, "time", lambda: now)
result = Aggregator(None, metrics_settings=settings)._fold_metrics(metrics)
print repr(result)
assert 1 == result.count(("timers.k.sum_80", 20, now))
def test_fold_metrics_passes_metric_settings(self, monkeypatch):
"""
Tests that aggregators pass the proper metric settings when
folding over.
"""
now = 12
settings = {"ms": {"percentile": 80}}
metrics = [Timer("k", 20, now)]
monkeypatch.setattr(time, 'time', lambda: now)
result = Aggregator(None,
metrics_settings=settings)._fold_metrics(metrics)
print repr(result)
assert 1 == result.count(("timers.k.sum_80", 20, now))
