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from analytic_types import ModelCache, TimeSeries
from analytic_types.segment import Segment
from enum import Enum
from typing import List, Optional, Tuple
import utils.meta
class Bound(Enum):
ALL = 'ALL'
UPPER = 'UPPER'
LOWER = 'LOWER'
class DetectionResult:
def __init__(
self,
cache: Optional[ModelCache] = None,
segments: Optional[List[Segment]] = None,
last_detection_time: int = None
):
if cache is None:
cache = {}
if segments is None:
segments = []
self.cache = cache
self.segments = segments
self.last_detection_time = last_detection_time
# TODO: use @utils.meta.JSONClass (now it can't serialize list of objects)
def to_json(self):
return {
'cache': self.cache,
'segments': list(map(lambda segment: segment.to_json(), self.segments)),
'lastDetectionTime': self.last_detection_time
}
@utils.meta.JSONClass
class ProcessingResult():
def __init__(
self,
lower_bound: Optional[TimeSeries] = None,
upper_bound: Optional[TimeSeries] = None,
):
self.lower_bound = lower_bound
self.upper_bound = upper_bound