using OpenCvSharp;

/// <summary>
/// Represents eye tracking data
/// </summary>
public class EyeTrackingData
{
    // Eye positions in screen space (0-1 range)
    public float LeftEyeX { get; set; }
    public float LeftEyeY { get; set; }
    public float RightEyeX { get; set; }
    public float RightEyeY { get; set; }

    // Eye openness values (0-1 range, where 0 = closed, 1 = fully open)
    public float LeftEyeOpenness { get; set; } = 1.0f;
    public float RightEyeOpenness { get; set; } = 1.0f;

    public Mat LeftEyeImage { get; set; }
    public Mat RightEyeImage { get; set; }

    // Confidence value (0-1 range)
    public float Confidence { get; set; } = 0.8f;

    // Flag conditions for multi-task model (0-1 range, probability of flag condition)
    public float LeftEyeFlagProbability { get; set; } = 0.0f;
    public float RightEyeFlagProbability { get; set; } = 0.0f;

    // Computed flag conditions (true if probability > threshold)
    public bool LeftEyeFlagCondition { get; set; } = false;
    public bool RightEyeFlagCondition { get; set; } = false;

    // Timestamp in milliseconds
    public long Timestamp { get; set; }

    // Helper method to check if any flag condition is detected
    public bool HasAnyFlagCondition()
    {
        return LeftEyeFlagCondition || RightEyeFlagCondition;
    }

    // Helper method to set flag conditions based on probability threshold
    public void SetFlagConditions(float threshold = 0.5f)
    {
        LeftEyeFlagCondition = LeftEyeFlagProbability > threshold;
        RightEyeFlagCondition = RightEyeFlagProbability > threshold;
    }
}