def test_pull_request_closed_no(pr_samples): # noqa: F811
calc = ClosedCalculator()
time_from = datetime.now(tz=timezone.utc) - timedelta(days=365 * 3)
time_to = time_from + timedelta(days=7)
for pr in pr_samples(100):
calc(pr, time_from, time_to)
m = calc.value()
assert not m.exists
def test_pull_request_metrics_timedelta_stability(pr_samples, cls,
dtypes): # noqa: F811
calc = cls()
time_from = datetime.now(tz=timezone.utc) - timedelta(days=10000)
time_to = datetime.now(tz=timezone.utc)
for pr in pr_samples(1000):
pr = random_dropout(ensure_dtype(pr, dtypes[0]), 0.5)
r = calc.analyze(pr, time_from, time_to)
assert (r is None) or ((isinstance(r, dtypes[1]))
and r >= dtypes[1](0)), str(pr)
def test_pull_request_flow_ratio_no_opened(pr_samples): # noqa: F811
calc = FlowRatioCalculator()
time_to = datetime.now(tz=timezone.utc)
time_from = time_to - timedelta(days=180)
for pr in pr_samples(100):
if pr.closed and pr.closed.best < time_to:
calc(pr, time_from, time_to)
m = calc.value()
assert m.exists
assert m.value == 0
def test_pull_request_metrics_float_binned(pr_samples, cls): # noqa: F811
time_from = datetime.now(tz=timezone.utc) - timedelta(days=365)
time_to = datetime.now(tz=timezone.utc)
time_intervals = Granularity.split("month", time_from, time_to)
binned = BinnedPullRequestMetricCalculator([cls()], time_intervals)
result = binned(pr_samples(1000))
for m in result:
assert m[0].exists
assert m[0].value > 1
assert m[0].confidence_min is None
assert m[0].confidence_max is None
def test_pull_request_flow_ratio(pr_samples): # noqa: F811
calc = FlowRatioCalculator()
time_from = datetime.now(tz=timezone.utc) - timedelta(days=365)
time_to = datetime.now(tz=timezone.utc)
for pr in pr_samples(1000):
calc(pr, time_from, time_to)
m = calc.value()
assert m.exists
assert 0 < m.value < 1
assert m.confidence_min is None
assert m.confidence_max is None
def test_pull_request_opened_no(pr_samples): # noqa: F811
calc = OpenedCalculator()
time_to = datetime.now(tz=timezone.utc)
time_from = time_to - timedelta(days=180)
n = 0
for pr in pr_samples(100):
if pr.closed and pr.closed.best < time_to:
n += 1
calc(pr, time_from, time_to)
assert n > 0
m = calc.value()
assert not m.exists
def test_pull_request_metrics_out_of_bounds(pr_samples, cls,
peak_attr): # noqa: F811
calc = cls()
for pr in pr_samples(100):
time_from = datetime.now(tz=timezone.utc) - timedelta(days=10000)
for attr in peak_attr.split(","):
time_from = max(getattr(pr, attr).best, time_from)
time_from += timedelta(days=1)
time_to = time_from + timedelta(days=7)
assert calc.analyze(pr, time_from, time_to) is None
time_from = datetime.now(tz=timezone.utc)
for attr in peak_attr.split(","):
time_from = min(getattr(pr, attr).best, time_from)
time_from -= timedelta(days=7)
time_to = time_from + timedelta(days=1)
assert calc.analyze(pr, time_from, time_to) is None
def test_pull_request_metrics_counts(pr_samples, cls): # noqa: F811
calc = cls()
nones = nonones = 0
for pr in pr_samples(1000):
time_to = datetime.now(tz=timezone.utc)
time_from = time_to - timedelta(days=10000)
delta = calc.analyze(pr, time_from, time_to)
assert isinstance(delta, int)
if calc.calc.analyze(pr, time_from, time_to) is not None:
assert delta == 1
nonones += 1
else:
assert delta == 0
nones += 1
if cls is not WorkInProgressCounter:
assert nones > 0
assert nonones > 0