sensor_analysis.py

import csv
import os


def main():
    '''Main Methode of the analysis-tool'''

    data_path = "data/sensors"

    for sensor in os.listdir(data_path):
        print(f"Sensorame {sensor}")

        # Create sets for probing
        sensor_lat = set()
        sensor_long = set()
        sensor_location = set()

        # iterate over the sensors
        for data in os.listdir("/".join([data_path, sensor])):
            filename = "/".join([data_path, sensor, data])

            # read each file and perform a brute-force search
            with open(filename, "r") as file:
                data_reader = csv.reader(file, delimiter=';')

                # skip the csv-header
                next(data_reader)

                # probe the known sets
                for row in data_reader:
                    if(row[2] not in sensor_location):
                        sensor_location.add(row[2])
                        print(filename)

                    if(row[3] not in sensor_lat):
                        sensor_lat.add(row[3])
                        print(filename)

                    if(row[4] not in sensor_long):
                        sensor_long.add(row[4])
                        print(filename)

        # Print the results to cout
        print(f"{sensor}|"
              f"Lat: {sensor_lat}|"
              f"Lon: {sensor_long}|"
              f"Location: {sensor_location}")


if __name__ == "__main__":
    main()