import csv

def analyze_gaze_data(csv_file):
    inconsistent_data = []
    irregular_blinks = []

    with open(csv_file, 'r') as csvfile:
        csv_reader = csv.reader(csvfile)
        next(csv_reader)  # Skip header row

        for row in csv_reader:
            frame_count, gaze_direction, left_pupil, right_pupil = row
            
            # Check for inconsistencies in eye movement with pupil coordinates
            if gaze_direction != "Blinking":
                if left_pupil == "(None, None)" or right_pupil == "(None, None)":
                    inconsistent_data.append(frame_count)
            
            # Check for irregular blinks
            if gaze_direction == "Blinking":
                irregular_blinks.append(frame_count)
    
    return inconsistent_data, irregular_blinks

def main():
    csv_file = 'fake_gaze_data.csv'
    inconsistent_data, irregular_blinks = analyze_gaze_data(csv_file)

    print("Inconsistent eye movement with pupil coordinates detected in frames:", inconsistent_data)
    print("Irregular blinks detected in frames:", irregular_blinks)

if __name__ == "__main__":
    main()