Alexander Hess
100fac659a
- the method slices out a real-time time series from the data within an `OrderHistory` object
31 lines
933 B
Python
31 lines
933 B
Python
"""Globals used when testing."""
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import datetime
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from urban_meal_delivery import config
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# The day on which most test cases take place.
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YEAR, MONTH, DAY = 2016, 7, 1
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# The hour when most test cases take place.
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NOON = 12
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# `START` and `END` constitute a 15-day time span.
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# That implies a maximum `train_horizon` of `2` as that needs full 7-day weeks.
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START = datetime.datetime(YEAR, MONTH, DAY, config.SERVICE_START, 0)
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_end_day = (START + datetime.timedelta(weeks=2)).date()
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END = datetime.datetime(
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_end_day.year, _end_day.month, _end_day.day, config.SERVICE_END, 0,
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)
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# Default time steps, for example, for `OrderHistory` objects.
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LONG_TIME_STEP = 60
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SHORT_TIME_STEP = 30
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TIME_STEPS = (SHORT_TIME_STEP, LONG_TIME_STEP)
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# Default training horizons, for example, for
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# `OrderHistory.make_horizontal_time_series()`.
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LONG_TRAIN_HORIZON = 2
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SHORT_TRAIN_HORIZON = 1
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TRAIN_HORIZONS = (SHORT_TRAIN_HORIZON, LONG_TRAIN_HORIZON)
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