embeddedLibrary/test/test_dataAcquisition.c

// test/test_dataAcquisition.c
#include <assert.h>
#include <math.h>
#include "../include/dataAcquisition.h"

#define NUMBER_OF_SENSORS 5
#define SLIDING_WINDOW_SIZE 10

#define AVERAGE_UNCERTAINTY 0.01
#define STD_UNCERTAINTY 0.01

// Testing the inizialization and the instanciacion of the sensors' number and sliding window size
void test_initializeReadings() {
    initializeReadings(NUMBER_OF_SENSORS, SLIDING_WINDOW_SIZE);
    assert(getSensorsNumber() == NUMBER_OF_SENSORS);
    assert(getSlidingWindowSize() == SLIDING_WINDOW_SIZE);
}

// Testing the logic of add readings to see if the slidinw window is full
void test_addReading() {
    for (int sensor = 0; sensor < NUMBER_OF_SENSORS; sensor++) {
        for (int value = 1; value <= SLIDING_WINDOW_SIZE; value++) {
            addReading(value, sensor);
        }
    }
    assert(isFull(NUMBER_OF_SENSORS-1) == true); // Assuming the last sensor acquired the data
}

// Testing the logic of average methods
void test_averageOnSensor() {
    printf("Average on sensor %d: %f\n", NUMBER_OF_SENSORS-1, getAverageOnSensor(NUMBER_OF_SENSORS-1));
    float average = getAverageOnSensor(NUMBER_OF_SENSORS-1);
    float expected_average = (SLIDING_WINDOW_SIZE + 1) / 2.0;
    assert(fabs(average - expected_average) < AVERAGE_UNCERTAINTY);
}

void test_standardDeviationOnSensor() {
    printf("Standard deviation on sensor %d: %f\n", NUMBER_OF_SENSORS-1, getStandardDeviationOnSensor(NUMBER_OF_SENSORS-1));
    float standard_deviation = getStandardDeviationOnSensor(NUMBER_OF_SENSORS-1);
    float expected_standard_deviation = 2.872281323269;
    assert(fabs(standard_deviation - expected_standard_deviation) < STD_UNCERTAINTY);
}

void test_averageOnAllSensors() {
    printf("Average on all sensors: %f\n", getAverageOnAllSensors());
    float average = getAverageOnAllSensors();
    float expected_average = SLIDING_WINDOW_SIZE;
    assert(fabs(average - expected_average) < AVERAGE_UNCERTAINTY);
}

void test_standardDeviationOnAllSensors() {
    printf("Standard deviation on all sensors: %f\n", getStandardDeviationOnAllSensors());
    float standard_deviation = getStandardDeviationOnAllSensors();
    float expected_standard_deviation = 0;
    assert(fabs(standard_deviation - expected_standard_deviation) < STD_UNCERTAINTY);
}

void test_overallAverage(){
    printf("Overall average on all sensors: %f\n", getOverallAverage());
    float average = getOverallAverage();
    float expected_overall_average = (SLIDING_WINDOW_SIZE + 1) / 2.0;
    assert(fabs(average - expected_overall_average) < AVERAGE_UNCERTAINTY);
}

void test_overallStandardDeviation(){
    printf("Overall standard deviation: %f\n", getOverallStandardDeviation());
    float standard_deviation = getStandardDeviationOnSensor(NUMBER_OF_SENSORS-1);
    float expected_standard_deviation = 2.872281323269;
    assert(fabs(standard_deviation - expected_standard_deviation) < STD_UNCERTAINTY);
}

void test_anomalyDetect(){
    float average = getOverallAverage();
    float standard_deviation = getOverallStandardDeviation();
    anomalyDetect(average, standard_deviation);
    printf("Outlier count: %i\n", getOutlierCount());
    assert(fabs(getOutlierCount() - 0) < 0.01);

    // Adding an outlier
    addReading(20, NUMBER_OF_SENSORS-1);
    average = getOverallAverage();
    standard_deviation = getOverallStandardDeviation();
    anomalyDetect(average, standard_deviation);
    printf("Outlier count: %i\n", getOutlierCount());
    assert(fabs(getOutlierCount() - 1) < 0.01);
}

// TODO: Test all the functions with a normal distribution

// TODO: Evaluate the normal distribution with the anomaly detection
void test_freeReadings() {
    assert(freeReadings() == true);
}

int main() {
    test_initializeReadings();
    test_addReading();
    test_averageOnSensor();
    test_standardDeviationOnSensor();
    test_averageOnAllSensors();
    test_standardDeviationOnAllSensors();
    test_overallAverage();
    test_overallStandardDeviation();
    test_anomalyDetect();
    test_freeReadings();
    return 0;
}