/**

* Extracts configuration values for hypothesis validation with defensive checks.

* @returns {object} An object containing the extracted configuration values.

* @throws {Error} If a required configuration value is missing or invalid.

*/

function extractConfiguration() {

const config = {};

// Default values with validation

const defaultValues = {

threshold: 0.05,

tolerance: 0.01,

maxIterations: 100,

learningRate: 0.01,

modelType: "linear", //Example of a string type

};

// Get configuration values from environment variables or other sources

config.threshold = parseFloat(process.env.THRESHOLD) || defaultValues.threshold;

if (isNaN(config.threshold)) {

throw new Error("Invalid threshold value. Must be a number.");

}

config.tolerance = parseFloat(process.env.TOLERANCE) || defaultValues.tolerance;

if (isNaN(config.tolerance)) {

throw new Error("Invalid tolerance value. Must be a number.");

}

config.maxIterations = parseInt(process.env.MAX_ITERATIONS) || defaultValues.maxIterations;

if (isNaN(config.maxIterations) || config.maxIterations <= 0) {

throw new Error("Invalid maxIterations value. Must be a positive integer.");

}

config.learningRate = parseFloat(process.env.LEARNING_RATE) || defaultValues.learningRate;

if (isNaN(config.learningRate) || config.learningRate <= 0) {

throw new Error("Invalid learningRate value. Must be a positive number.");

}

config.modelType = process.env.MODEL_TYPE || defaultValues.modelType;

if (!Object.values(defaultValues.modelType).includes(config.modelType)) {

throw new Error("Invalid modelType value. Must be one of: " + Object.values(defaultValues.modelType).join(", "));

}

return config;

}