def test_metrics_stats_frame_can_add_values():
events_transport_batch_size = [10, 2, 54]
events_looper_run_time_spent = [0.1, 3.4, 0.01, 0.5]
events = []
for v in events_transport_batch_size:
events.append((MetricsName.TRANSPORT_BATCH_SIZE, v))
for v in events_looper_run_time_spent:
events.append((MetricsName.LOOPER_RUN_TIME_SPENT, v))
shuffle(events)
frame = MetricsStatsFrame()
for id, value in events:
frame.add(id, value)
assert frame.get(MetricsName.TRANSPORT_BATCH_SIZE) == ValueAccumulator(events_transport_batch_size)
assert frame.get(MetricsName.LOOPER_RUN_TIME_SPENT) == ValueAccumulator(events_looper_run_time_spent)
assert frame.get(MetricsName.BACKUP_THREE_PC_BATCH_SIZE) == ValueAccumulator()
def test_metrics_stats_frame_eq_has_value_semantics():
a = MetricsStatsFrame()
b = MetricsStatsFrame()
assert a == b
a.add(MetricsName.LOOPER_RUN_TIME_SPENT, 2.0)
assert a != b
b.add(MetricsName.LOOPER_RUN_TIME_SPENT, 2.0)
assert a == b
a.add(MetricsName.BACKUP_THREE_PC_BATCH_SIZE, 1)
b.add(MetricsName.TRANSPORT_BATCH_SIZE, 2)
assert a != b
def _metrics_stats_frame(events):
frame = MetricsStatsFrame()
for ev in events:
frame.add(ev.name, ev.value)
return frame