def setUpTestData(cls):
scalar_metric = factories.MetricFactory(source_name='scalar_metric',
type='UintScalar',
description='scalar metric')
dataset = factories.DataSetFactory()
coll = factories.CollectionFactory(metric=scalar_metric,
dataset=dataset,
population='control')
total = 3053.0
data = {1: 100, 2: 500, 3: 300, 4: 200, 5: 190, 6: 180, 7: 170,
8: 160, 9: 150, 10: 140, 11: 130, 12: 120, 13: 110, 14: 100,
15: 90, 16: 80, 17: 70, 18: 60, 19: 50, 20: 40, 21: 30, 22: 20,
23: 10, 24: 9, 25: 8, 26: 7, 27: 6, 28: 5, 29: 4, 30: 3, 31: 2,
32: 1, 33: 1, 34: 1, 35: 1, 36: 1, 37: 1, 38: 1, 39: 1, 40: 1}
for rank, bucket in enumerate(sorted(data.keys()), 1):
count = data[bucket]
factories.PointFactory(collection=coll,
bucket=bucket,
proportion=count / total,
count=count,
rank=rank)
cls.dataset = dataset
cls.metric = scalar_metric
def collections_and_points(metric, **kwargs):
coll = factories.CollectionFactory(metric=metric, **kwargs)
factories.PointFactory.create_batch(3, collection=coll)
return coll