def test_add_metric(app):
rv = db.add_metric("foo", "bar")
assert rv.name == "foo"
assert rv.units == "bar"
# Verify that we've actually written to the DB.
assert len(db.Metric.select()) == 1
def populated_db(app):
# XXX: Should this be using my functions or should it use pure PeeWee
# stuff like `DataPoint.create(metric=1, value=15, timestamp=1546450008)`?
db.add_metric("empty_metric", "units")
db.add_metric("foo")
db.add_metric("foo.bar")
db.add_metric("metric_with_units", "apples")
db.add_metric("old_data")
db.add_metric("with_everything", "percent", 20, 100)
db.insert_datapoint("foo", 15)
db.insert_datapoint("foo", 17)
db.insert_datapoint("foo", 25)
db.insert_datapoint("foo", 9)
db.insert_datapoint("foo.bar", 1)
db.insert_datapoint("foo.bar", -2)
db.insert_datapoint("old_data", 0, 0) # 1970-01-01T00:00:00Z
db.insert_datapoint("old_data", 1, 1545321236) # 2018-12-20T15:53:56Z
db.insert_datapoint("old_data", 5, 1546532003) # 2019-01-03T16:13:23Z
db.insert_datapoint("old_data", 8, 1546532067) # 2019-01-03T16:14:27Z
def test_add_metric_raises_type_error(caplog, lower, upper):
with pytest.raises(TypeError):
db.add_metric("foo", "bar", lower, upper)
assert "Invalid type for limits" in caplog.text
def test_add_metric_with_invalid_limits_raises_value_error(caplog):
with pytest.raises(ValueError):
db.add_metric("foo", "bar", 16, -54.452)
assert "upper_limit not greater than lower_limit" in caplog.text
def test_add_metric_with_lower_limit(app):
rv = db.add_metric("foo", "bar", -16.33)
assert rv.name == "foo"
assert rv.units == "bar"
assert rv.upper_limit is None
assert rv.lower_limit == -16.33
def test_add_metric_with_upper_limit(app):
rv = db.add_metric("foo", "bar", None, 15)
assert rv.name == "foo"
assert rv.units == "bar"
assert rv.upper_limit == 15
assert rv.lower_limit is None