55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
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import math
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from typing import Iterable
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from ereuse_devicehub.resources.device.models import Device
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from ereuse_devicehub.resources.event.models import WorkbenchRate
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class BaseRate:
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"""growing exponential from this value"""
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CEXP = 0
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"""growing lineal starting on this value"""
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CLIN = 242
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"""growing logarithmic starting on this value"""
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CLOG = 0.5
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"""Processor has 50% of weight over total score, used in harmonic mean"""
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PROCESSOR_WEIGHT = 0.5
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"""Storage has 20% of weight over total score, used in harmonic mean"""
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DATA_STORAGE_WEIGHT = 0.2
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"""Ram has 30% of weight over total score, used in harmonic mean"""
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RAM_WEIGHT = 0.3
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def compute(self, device: Device, rate: WorkbenchRate):
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raise NotImplementedError()
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@staticmethod
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def norm(x, x_min, x_max):
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return (x - x_min) / (x_max - x_min)
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@staticmethod
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def rate_log(x):
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return math.log10(2 * x) + 3.57 # todo magic number!
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@staticmethod
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def rate_lin(x):
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return 7 * x + 0.06 # todo magic number!
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@staticmethod
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def rate_exp(x):
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return math.exp(x) / (2 - math.exp(x))
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@staticmethod
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def harmonic_mean(weights: Iterable[float], rates: Iterable[float]):
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return sum(weights) / sum(char / rate for char, rate in zip(weights, rates))
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def harmonic_mean_rates(self, rate_processor, rate_storage, rate_ram):
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"""
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Merging components
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"""
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total_weights = self.PROCESSOR_WEIGHT + self.DATA_STORAGE_WEIGHT + self.RAM_WEIGHT
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total_rate = self.PROCESSOR_WEIGHT / rate_processor \
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+ self.DATA_STORAGE_WEIGHT / rate_storage \
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+ self.RAM_WEIGHT / rate_ram
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return total_weights / total_rate
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