def test_perfcounters_count():
c = Perfcounters(logger)
assert c._counters["messages"] == 0
c.count("messages")
assert c._counters["messages"] == 1
assert not [(k, v) for k, v in c._counters.items() if k != "messages" and v > 0]
def test_perfcounters_column_default_values():
c = Perfcounters(logger)
for column_name, default_value in c.status_columns():
if column_name.startswith("status_average_") and column_name.endswith(
"_time"):
assert isinstance(default_value, float)
assert default_value == 0.0
elif column_name.startswith(
"status_average_") and column_name.endswith("_rate"):
assert isinstance(default_value, float)
assert default_value == 0.0
elif column_name.startswith("status_") and column_name.endswith(
"_rate"):
assert isinstance(default_value, float)
assert default_value == 0.0
elif column_name.startswith("status_"):
assert isinstance(
default_value,
int), "Wrong column type %r: %s" % (column_name,
type(default_value))
assert default_value == 0, "Wrong column default value %r: %d" % (
column_name, default_value)
def test_perfcounters_count_time():
c = Perfcounters(logger)
assert "processing" not in c._times
c.count_time("processing", 1.0)
assert c._times["processing"] == 1.0
c.count_time("processing", 1.0)
assert c._times["processing"] == 1.0
c.count_time("processing", 5.0)
assert c._times["processing"] == 1.04
def test_perfcounters_correct_status_values():
c = Perfcounters(logger)
for _x in range(5):
c.count("messages")
for _x in range(10):
c.count("events")
for _x in range(10):
c.count("connects")
for _x in range(2):
c.count("rule_tries")
for column_name, column_value in zip([n for n, d in c.status_columns()],
c.get_status()):
if column_name.startswith("status_average_") and column_name.endswith(
"_time"):
counter_name = column_name.split("_")[-2]
assert column_value == c._times.get(counter_name, 0.0)
elif column_name.startswith(
"status_average_") and column_name.endswith("_rate"):
counter_name = column_name.split("_")[-2]
assert column_value == c._average_rates.get(counter_name, 0.0)
elif column_name.startswith("status_") and column_name.endswith(
"_rate"):
counter_name = column_name.split("_")[-2]
assert column_value == c._rates.get(counter_name, 0.0)
elif column_name.startswith("status_"):
counter_name = "_".join(column_name.split("_")[1:])
assert column_value == c._counters[
counter_name], "Invalid value %r: %r" % (
column_name, c._counters[counter_name])
else:
raise NotImplementedError()
def test_perfcounters_columns_match_status_length():
c = Perfcounters(logger)
assert len(c.status_columns()) == len(c.get_status())
def test_perfcounters_do_statistics(monkeypatch):
monkeypatch.setattr("time.time", lambda: 1.0)
c = Perfcounters(logger)
assert "messages" not in c._rates
assert "messages" not in c._average_rates
c.do_statistics()
assert "messages" not in c._rates
assert "messages" not in c._average_rates
monkeypatch.setattr("time.time", lambda: 2.0)
c.do_statistics()
assert c._rates["messages"] == 0.0
assert c._average_rates["messages"] == 0.0
c.count("messages")
monkeypatch.setattr("time.time", lambda: 3.0)
c.do_statistics()
assert c._rates["messages"] == 1.0
assert pytest.approx(c._average_rates["messages"]) == 0.09999999999999998
c.count("messages")
c.count("messages")
c.count("messages")
c.count("messages")
c.count("messages")
monkeypatch.setattr("time.time", lambda: 4.0)
c.do_statistics()
assert c._rates["messages"] == 5.0
assert pytest.approx(c._average_rates["messages"]) == 0.5899999999999999