#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Risks calculates all the risks associated to the health information (healthInfo) of a person and created the output dictionary. These risks are currently divided by categories: - analytic risks. - anthropometry risks. - cardiovascular risks. - hypertension risks. @author: Vertigo BioSystems """ import logging from ....src.vbs_riskmap.risk.AnalyticRisk import AnalyticRisk from ....src.vbs_riskmap.risk.AnthropometryRisk import AnthropometryRisk from ....src.vbs_riskmap.risk.BreastCancerRisk import BreastCancerRisk from ....src.vbs_riskmap.risk.CardiovascularRisk import CardiovascularRisk from ....src.vbs_riskmap.risk.DiabetesMellitusRisk import DiabetesMellitusRisk from ....src.vbs_riskmap.risk.HypertensionRisk import HypertensionRisk from ....src.vbs_riskmap.risk.LungCancerRisk import LungCancerRisk class Risks: # Global scale values of the RISKS TOO_LOW = 0 LOW = 10 NORMAL = 20 MEDIUM = 30 HIGH = 40 TOO_HIGH = 50 # Keywords used for the risks # analytic_risk KEY_CALCIUM_TEST = "risk_calcium_test" KEY_IRON_TEST = "risk_iron_test" KEY_SODIUM_TEST = "risk_sodium_test" KEY_POTASSIUM_TEST = "risk_potassium_test" KEY_DVITAMIN_TEST = "risk_Dvitamin_test" KEY_HEMOGLOBINE_TEST = "risk_hemoglobine_test" KEY_LEUCOCYTES_TEST = "risk_leucocytes_test" KEY_B12VITAMIN_TEST = "risk_B12vitamin_test" KEY_CHOLESTEROL_HDL_TEST = "risk_cholesterol_hdl" KEY_CHOLESTEROL_LDL_TEST = "risk_cholesterol_ldl" KEY_URIC_ACID_TEST = "risk_uric_acid" KEY_TRYGLICERIDES_TEST = "risk_tryglicerides" # anthropometry_risk KEY_BMI = "risk_bmi" KEY_RESTING_ENERGY_EXPENDITURE = "risk_resting_energy_expenditure" KEY_WAIST_HIP = "risk_waist_hip" # cardiovascular_risk KEY_COX_CARDIOVASCULAR = "risk_cox_cardiovascular_test" KEY_FRAMINGHAM_TEST = "risk_framingham_test" KEY_HEART_AGE = "risk_heart_age" # diabetes_mellitus_risk KEY_DIABETES_M = "risk_diabetes_mellitus" KEY_DIABETES_M_REGRES = "risk_diabetes_mellitus_regression" # hypertension_risk KEY_HYPERTENSION_TEST = "risk_hypertension_test" KEY_BREAST_CANCER_TEST = "risk_breast_cancer_test" # lung_cancer_risk KEY_LUNG_CANCER_TEST_16 = "risk_lung_cancer_test_16_years" KEY_LUNG_CANCER_TEST_6 = "risk_lung_cancer_test_6_years" def __init__(self, health_info): self.health_info = health_info self.analytic_risk = AnalyticRisk(health_info) self.anthropometry_risk = AnthropometryRisk(health_info) self.breast_cancer_risk = BreastCancerRisk(health_info) self.cardiovascular_risk = CardiovascularRisk(health_info) self.diabetes_mellitus_risk = DiabetesMellitusRisk(health_info) self.hypertension_risk = HypertensionRisk(health_info) self.lung_cancer_risk = LungCancerRisk(health_info) self.output = {} # dictionary with person's risks # all methods (cardiovascular_risk...) could be possible execute here @property def output(self): """Return a dictionary with all the risks calculated""" return self.__output @output.setter def output(self, output): """This ouput setter should not be used as a public function.""" self.__output = output def label_output(self, output): """This function is used to return the key when it is a label/string""" return {"label": output} def value_output(self, output): """This function is used to return the key when it is a value/number""" return {"value": output} def all_risks(self): # Calculating ALL THE RISKS self.analytic_risks() self.anthropometry_risks() self.breast_cancer_risks() self.cardiovascular_risks() self.hypertension_risks() self.diabetes_mellitus_risks() self.lung_cancer_risks() logging.info("Risks: All RISKS calculated and ending successfully.") def analytic_risks(self): """ Calculates analytic risks. """ # risk_iron_test self.risk_iron_test = self.analytic_risk.risk_iron_test() self.output[self.KEY_IRON_TEST] = \ self.label_output(self.risk_iron_test) self.output[self.KEY_IRON_TEST].update(self.value_output(self.health_info.analytics.iron)) # risk_calcium_test self.risk_calcium_test = self.analytic_risk.risk_calcium_test() self.output[self.KEY_CALCIUM_TEST] = \ self.label_output(self.risk_calcium_test) self.output[self.KEY_CALCIUM_TEST].update(self.value_output(self.health_info.analytics.calcium)) # risk_sodium_test self.risk_sodium_test = self.analytic_risk.risk_sodium_test() self.output[self.KEY_SODIUM_TEST] = \ self.label_output(self.risk_sodium_test) self.output[self.KEY_SODIUM_TEST].update(self.value_output(self.health_info.analytics.sodium)) # risk_potassium_test self.risk_potassium_test = self.analytic_risk.risk_potassium_test() self.output[self.KEY_POTASSIUM_TEST] = \ self.label_output(self.risk_potassium_test) self.output[self.KEY_POTASSIUM_TEST].update(self.value_output(self.health_info.analytics.potassium)) # risk_Dvitamin_test self.risk_Dvitamin_test = self.analytic_risk.risk_Dvitamin_test() self.output[self.KEY_DVITAMIN_TEST] = \ self.label_output(self.risk_Dvitamin_test) self.output[self.KEY_DVITAMIN_TEST].update(self.value_output(self.health_info.analytics.Dvitamin)) # risk_hemoglobine_test self.risk_hemoglobine_test = self.analytic_risk.risk_hemoglobine_test() self.output[self.KEY_HEMOGLOBINE_TEST] = \ self.label_output(self.risk_hemoglobine_test) self.output[self.KEY_HEMOGLOBINE_TEST].update(self.value_output(self.health_info.analytics.hemoglobine)) # risk_leucocytes_test self.risk_leucocytes_test = self.analytic_risk.risk_leucocytes_test() self.output[self.KEY_LEUCOCYTES_TEST] = \ self.label_output(self.risk_leucocytes_test) self.output[self.KEY_LEUCOCYTES_TEST].update(self.value_output(self.health_info.analytics.leucocytes)) # risk_B12vitamin_test self.risk_B12vitamin_test = self.analytic_risk.risk_B12vitamin_test() self.output[self.KEY_B12VITAMIN_TEST] = \ self.label_output(self.risk_B12vitamin_test) self.output[self.KEY_B12VITAMIN_TEST].update(self.value_output(self.health_info.analytics.B12vitamin)) # risk_cholesterol_hdl_test self.risk_cholesterol_hdl_test = self.analytic_risk.\ risk_cholesterol_hdl_test() self.output[self.KEY_CHOLESTEROL_HDL_TEST] = \ self.label_output(self.risk_cholesterol_hdl_test) self.output[self.KEY_CHOLESTEROL_HDL_TEST].update(self.value_output(self.health_info.analytics.cholesterol_hdl)) # risk_cholesterol_ldl_test self.risk_cholesterol_ldl_test = \ self.analytic_risk.risk_cholesterol_ldl_test() self.output[self.KEY_CHOLESTEROL_LDL_TEST] = \ self.label_output(self.risk_cholesterol_ldl_test) self.output[self.KEY_CHOLESTEROL_LDL_TEST].update(self.value_output(self.health_info.analytics.cholesterol_ldl)) # risk_uric_acid self.risk_uric_acid_test = self.analytic_risk.risk_uric_acid_test() self.output[self.KEY_URIC_ACID_TEST] = \ self.label_output(self.risk_uric_acid_test) self.output[self.KEY_URIC_ACID_TEST].update(self.value_output(self.health_info.analytics.uric_acid)) # risk_tryglicerides_test self.risk_tryglicerides_test = \ self.analytic_risk.risk_tryglicerides_test() self.output[self.KEY_TRYGLICERIDES_TEST] = \ self.label_output(self.risk_tryglicerides_test) self.output[self.KEY_TRYGLICERIDES_TEST].update(self.value_output(self.health_info.analytics.triglycerides)) logging.info("Risks: Analytic risks calculated.") def anthropometry_risks(self): """ Calculates anthropometry risks. """ # risk_bmi self.risk_bmi = self.anthropometry_risk.risk_bmi() self.output[self.KEY_BMI] = self.label_output(self.risk_bmi[0]) self.output[self.KEY_BMI].update(self.value_output(self.risk_bmi[1])) # risk_resting_energy_expenditure self.risk_resting_energy_expenditure = self.anthropometry_risk.\ risk_resting_energy_expenditure() self.output[self.KEY_RESTING_ENERGY_EXPENDITURE] = \ self.value_output(self.risk_resting_energy_expenditure) # waist_hip_risk self.risk_waist_hip = self.anthropometry_risk.risk_waist_hip() self.output[self.KEY_WAIST_HIP] = \ self.label_output(self.risk_waist_hip[0]) self.output[self.KEY_WAIST_HIP].\ update(self.value_output(self.risk_waist_hip[1])) logging.info("Risks: Anthropometry risks calculated.") def breast_cancer_risks(self): """ Calculates breast cancer risks. """ # breast_cancer_risk_test self.breast_cancer = self.breast_cancer_risk.risk_breast_cancer_test() self.output[self.KEY_BREAST_CANCER_TEST] = \ self.value_output(self.breast_cancer) logging.info("Risks: Breast Cancer risks calculated.") def cardiovascular_risks(self): """ Calculates cardiovascular risks. """ # risk_cox_cardiovascular_test self.cox_cardiovascular = self.cardiovascular_risk.\ risk_cox_cardiovascular_test() self.output[self.KEY_COX_CARDIOVASCULAR] = \ self.value_output(self.cox_cardiovascular) # risk_framingham_test self.framingham_test = self.cardiovascular_risk.\ risk_framingham_test() self.output[self.KEY_FRAMINGHAM_TEST] = \ self.value_output(self.framingham_test) # risk_heart_age self.heart_age = self.cardiovascular_risk.risk_heart_age() self.output[self.KEY_HEART_AGE] = self.value_output(self.heart_age) logging.info("Risks: Cardiovascular risks calculated.") def hypertension_risks(self): """ Calculates hypertension risks. """ # hypertension_risk_test self.hypertension_test = \ self.hypertension_risk.risk_hypertension_test() self.output[self.KEY_HYPERTENSION_TEST] = \ self.value_output(self.hypertension_test) logging.info("Risks: Hypertension risks calculated.") def diabetes_mellitus_risks(self): """ Calculates diabetes mellitus risks. """ # diabetes_mellitus self.diabetes_m = self.diabetes_mellitus_risk.risk_diabetes_mellitus() self.output[self.KEY_DIABETES_M] = \ self.value_output(self.diabetes_m) # diabetes_mellitus_regression self.diabetes_m_regression = \ self.diabetes_mellitus_risk.risk_diabetes_mellitus_regression() self.output[self.KEY_DIABETES_M_REGRES] = \ self.value_output(self.diabetes_m_regression) logging.info("Risks: Diabetes Mellitus risks calculated.") def lung_cancer_risks(self): """ Calculates lung cancer risks. """ # lung_cancer_test_16_years self.lung_cancer_test_16_years = \ self.lung_cancer_risk.risk_lung_cancer_test_16_years() self.output[self.KEY_LUNG_CANCER_TEST_16] = \ self.value_output(self.lung_cancer_test_16_years) # lung_cancer_test_6_years self.lung_cancer_test_6_years = \ self.lung_cancer_risk.risk_lung_cancer_test_6_years() self.output[self.KEY_LUNG_CANCER_TEST_6] = \ self.value_output(self.lung_cancer_test_6_years) logging.info("Risks: Lung Cancer risks calculated.")