implemented context-prediction interface in milostrats
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import cv2
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from datetime import datetime, timedelta
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from pytz import timezone
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from server.nightr.util import Context, Prediction
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def camImgStrat():
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def camImgStrat(context : Context) -> Prediction:
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img = cv2.imread('night.jpg',0)
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average = img.mean(axis=0).mean(axis=0)
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print(average)
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p = Prediction()
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if average < 100:
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return 1.0
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p.probability = 1.0
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p.reasons.append('Image was dark')
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else:
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return 0.0
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p.reasons.append('Image was light')
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p.probability = 0.0
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return p
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def australiaStrat():
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def australiaStrat(context : Context) -> Prediction:
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australia = timezone('Australia/Melbourne')
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t = datetime.now().astimezone(australia)
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hour = t.hour
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p = Prediction()
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if hour > 22 or hour < 6:
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return 1.0
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p.probability = 1.0
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p.reasons.append('It\'s day-time in Australia')
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else:
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return 0.0
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p.probability = 0.0
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p.reasons.append('It\'s night-time in Australia')
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return p
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