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import config
import detectors
import logging
import pandas as pd
from typing import Optional
from models import AnalyticUnitCache
logger = logging.getLogger('AnalyticUnitWorker')
class AnalyticUnitWorker:
def __init__(self, analytic_unit_id: str, detector: detectors.Detector):
self.analytic_unit_id = analytic_unit_id
self.detector = detector
async def do_learn(self, segments: list, data: pd.DataFrame, cache: Optional[AnalyticUnitCache]) -> AnalyticUnitCache:
return await self.detector.train(data, segments, cache)
async def do_predict(self, data: pd.DataFrame, cache: Optional[AnalyticUnitCache]) -> dict:
return await self.detector.predict(data, cache)