using System;
using System.Text.Json.Serialization;
using Vinno.AI.CommonSDK.Enums;
using Vinno.AI.CommonSDK.Interfaces;

namespace Vinno.AI.CarotidClassificationSDK.Models
{
    public class CarotidClassificationParameter : IAIParameter
    {
        /// <summary>
        /// 用于CarotidClassification计算的CPU数
        /// </summary>
        public int CPUNumber { get; }

        /// <summary>
        /// 检测模式
        /// </summary>
        public AIEnumDetectMode DetectMode { get; set; }

        /// <summary>
        /// 当检测模式为EnumDetectMode.TimesPerSecond时，指每秒的图片吞吐量，DetectTps必须大于0
        /// </summary>
        public int DetectTps { get; set; }

        /// <summary>
        /// 当检测模式为当检测模式为EnumDetectMode.PeriodicIntervals时，指检测的间隔时间，当间隔时间<0时，则启动内置的时间间隔。
        /// </summary>
        public int IntervalTime { get; set; }

        /// <summary>
        /// 结果是否包含轮廓信息
        /// </summary>
        public bool IsIncludeContour { get; }

        public CarotidClassificationParameter(int cpuNumber, bool isIncludeContour)
        {
            CPUNumber = cpuNumber;
            IsIncludeContour = isIncludeContour;
            DetectMode = AIEnumDetectMode.TimesPerSecond;
            DetectTps = 2;
            IntervalTime = 200;
        }

        [JsonConstructor]
        public CarotidClassificationParameter(int cpuNumber, AIEnumDetectMode detectMode, int detectTps, int intervalTime, bool isIncludeContour)
        {
            if (detectTps <= 0)
            {
                throw new ArgumentOutOfRangeException($"Detect Tps must >0,Detect Tps is {detectTps}");
            }
            if (intervalTime < 0)
            {
                throw new ArgumentOutOfRangeException($"interval Time must >=0,Interval Time is {intervalTime}");
            }
            CPUNumber = cpuNumber;
            DetectMode = detectMode;
            DetectTps = detectTps;
            IntervalTime = intervalTime;
            IsIncludeContour = isIncludeContour;
        }
    }
}