From 7073d702c8f06a60c4c8568e8fef81fc444b13b3 Mon Sep 17 00:00:00 2001 From: lolouk44 Date: Wed, 29 Jan 2020 15:24:57 +0000 Subject: [PATCH] Create body_scales.py --- src/body_scales.py | 155 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 155 insertions(+) create mode 100644 src/body_scales.py diff --git a/src/body_scales.py b/src/body_scales.py new file mode 100644 index 0000000..e9c65cc --- /dev/null +++ b/src/body_scales.py @@ -0,0 +1,155 @@ +class bodyScales: + def __init__(self, age, height, sex, weight, scaleType='xiaomi'): + self.age = age + self.height = height + self.sex = sex + self.weight = weight + + if scaleType == 'xiaomi': + self.scaleType = 'xiaomi' + else: + self.scaleType = 'holtek' + + # Get BMI scale + def getBMIScale(self): + if self.scaleType == 'xiaomi': + # Amazfit/new mi fit + #return [18.5, 24, 28] + # Old mi fit // amazfit for body figure + return [18.5, 25.0, 28.0, 32.0] + elif self.scaleType == 'holtek': + return [18.5, 25.0, 30.0] + + # Get fat percentage scale + def getFatPercentageScale(self): + # The included tables where quite strange, maybe bogus, replaced them with better ones... + if self.scaleType == 'xiaomi': + scales = [ + {'min': 0, 'max': 11, 'female': [12.0, 21.0, 30.0, 34.0], 'male': [7.0, 16.0, 25.0, 30.0]}, + {'min': 12, 'max': 13, 'female': [15.0, 24.0, 33.0, 37.0], 'male': [7.0, 16.0, 25.0, 30.0]}, + {'min': 14, 'max': 15, 'female': [18.0, 27.0, 36.0, 40.0], 'male': [7.0, 16.0, 25.0, 30.0]}, + {'min': 16, 'max': 17, 'female': [20.0, 28.0, 37.0, 41.0], 'male': [7.0, 16.0, 25.0, 30.0]}, + {'min': 18, 'max': 39, 'female': [21.0, 28.0, 35.0, 40.0], 'male': [11.0, 17.0, 22.0, 27.0]}, + {'min': 40, 'max': 59, 'female': [22.0, 29.0, 36.0, 41.0], 'male': [12.0, 18.0, 23.0, 28.0]}, + {'min': 60, 'max': 100, 'female': [23.0, 30.0, 37.0, 42.0], 'male': [14.0, 20.0, 25.0, 30.0]}, + ] + + elif self.scaleType == 'holtek': + scales = [ + {'min': 0, 'max': 20, 'female': [18, 23, 30, 35], 'male': [8, 14, 21, 25]}, + {'min': 21, 'max': 25, 'female': [19, 24, 30, 35], 'male': [10, 15, 22, 26]}, + {'min': 26, 'max': 30, 'female': [20, 25, 31, 36], 'male': [11, 16, 21, 27]}, + {'min': 31, 'max': 35, 'female': [21, 26, 33, 36], 'male': [13, 17, 25, 28]}, + {'min': 46, 'max': 40, 'female': [22, 27, 34, 37], 'male': [15, 20, 26, 29]}, + {'min': 41, 'max': 45, 'female': [23, 28, 35, 38], 'male': [16, 22, 27, 30]}, + {'min': 46, 'max': 50, 'female': [24, 30, 36, 38], 'male': [17, 23, 29, 31]}, + {'min': 51, 'max': 55, 'female': [26, 31, 36, 39], 'male': [19, 25, 30, 33]}, + {'min': 56, 'max': 100, 'female': [27, 32, 37, 40], 'male': [21, 26, 31, 34]}, + ] + + for scale in scales: + if self.age >= scale['min'] and self.age <= scale['max']: + return scale[self.sex] + + # Get muscle mass scale + def getMuscleMassScale(self): + if self.scaleType == 'xiaomi': + scales = [ + {'min': {'male': 170, 'female': 160}, 'female': [36.5, 42.6], 'male': [49.4, 59.5]}, + {'min': {'male': 160, 'female': 150}, 'female': [32.9, 37.6], 'male': [44.0, 52.5]}, + {'min': {'male': 0, 'female': 0}, 'female': [29.1, 34.8], 'male': [38.5, 46.6]}, + ] + elif self.scaleType == 'holtek': + scales = [ + {'min': {'male': 170, 'female': 170}, 'female': [36.5, 42.5], 'male': [49.5, 59.4]}, + {'min': {'male': 160, 'female': 160}, 'female': [32.9, 37.5], 'male': [44.0, 52.4]}, + {'min': {'male': 0, 'female': 0}, 'female': [29.1, 34.7], 'male': [38.5, 46.5]} + ] + + for scale in scales: + if self.height >= scale['min'][self.sex]: + return scale[self.sex] + + + + # Get water percentage scale + def getWaterPercentageScale(self): + if self.scaleType == 'xiaomi': + if self.sex == 'male': + return [55.0, 65.1] + elif self.sex == 'female': + return [45.0, 60.1] + elif self.scaleType == 'holtek': + return [53, 67] + + + # Get visceral fat scale + def getVisceralFatScale(self): + # Actually the same in mi fit/amazfit and holtek's sdk + return [10.0, 15.0] + + + # Get bone mass scale + def getBoneMassScale(self): + if self.scaleType == 'xiaomi': + scales = [ + {'male': {'min': 75.0, 'scale': [2.0, 4.2]}, 'female': {'min': 60.0, 'scale': [1.8, 3.9]}}, + {'male': {'min': 60.0, 'scale': [1.9, 4.1]}, 'female': {'min': 45.0, 'scale': [1.5, 3.8]}}, + {'male': {'min': 0.0, 'scale': [1.6, 3.9]}, 'female': {'min': 0.0, 'scale': [1.3, 3.6]}}, + ] + + for scale in scales: + if self.weight >= scale[self.sex]['min']: + return scale[self.sex]['scale'] + + elif self.scaleType == 'holtek': + scales = [ + {'female': {'min': 60, 'optimal': 2.5}, 'male': {'min': 75, 'optimal': 3.2}}, + {'female': {'min': 45, 'optimal': 2.2}, 'male': {'min': 69, 'optimal': 2.9}}, + {'female': {'min': 0, 'optimal': 1.8}, 'male': {'min': 0, 'optimal': 2.5}} + ] + + for scale in scales: + if self.weight >= scale[self.sex]['min']: + return [scale[self.sex]['optimal']-1, scale[self.sex]['optimal']+1] + + + # Get BMR scale + def getBMRScale(self): + if self.scaleType == 'xiaomi': + coefficients = { + 'male': {30: 21.6, 50: 20.07, 100: 19.35}, + 'female': {30: 21.24, 50: 19.53, 100: 18.63} + } + elif self.scaleType == 'holtek': + coefficients = { + 'female': {12: 34, 15: 29, 17: 24, 29: 22, 50: 20, 120: 19}, + 'male': {12: 36, 15: 30, 17: 26, 29: 23, 50: 21, 120: 20} + } + + for age, coefficient in coefficients[self.sex].items(): + if self.age < age: + return [self.weight * coefficient] + + + # Get protein scale (hardcoded in mi fit) + def getProteinPercentageScale(self): + # Actually the same in mi fit and holtek's sdk + return [16, 20] + + # Get ideal weight scale (BMI scale converted to weights) + def getIdealWeightScale(self): + scale = [] + for bmiScale in self.getBMIScale(): + scale.append((bmiScale*self.height)*self.height/10000) + return scale + + # Get Body Score scale + def getBodyScoreScale(self): + # very bad, bad, normal, good, better + return [50.0, 60.0, 80.0, 90.0] + + # Return body type scale + def getBodyTypeScale(self): + return ['obese', 'overweight', 'thick-set', 'lack-exerscise', 'balanced', 'balanced-muscular', 'skinny', 'balanced-skinny', 'skinny-muscular'] +