class ReworkAnomaly(Anomaly):
"""Insert 1 sequence of n events coming from the case later in the case."""
def __init__(self, max_sequence_size=2, max_distance=0):
self.max_sequence_size = max_sequence_size
self.max_distance = max_distance
super(ReworkAnomaly, self).__init__()
def apply_to_case(self, case):
if len(case) <= 1:
return NoneAnomaly().apply_to_case(case)
size = np.random.randint(2, min(len(case), self.max_sequence_size) + 1)
start = np.random.randint(0, len(case) - size + 1)
distance = np.random.randint(
0,
min(len(case) - (start + size), self.max_distance) + 1)
t = case.events
dupe_sequence = [Event.clone(e) for e in t[start:start + size]]
inserted = [e.json for e in dupe_sequence]
anomalous_trace = t[:start + size +
distance] + dupe_sequence + t[start + size +
distance:]
case.events = anomalous_trace
case.attributes['label'] = dict(anomaly=str(self),
attr=dict(size=int(size),
start=int(start + size +
distance),
inserted=inserted))
return case
def clone(trace):
events = [Event.clone(event) for event in trace.events]
return Case(id=trace.id, events=events, **dict(trace.attributes))
