using OpenCvSharp;
using System.ComponentModel;
using System.Drawing;
using static OpenCvSharp.AgastFeatureDetector;
using System.Text.RegularExpressions;
using System.Text;
using System.Drawing.Design;

namespace DH.Devices.Vision
{
    public enum MLModelType
    {
        [Description("图像分类")]
        ImageClassification = 1,
        [Description("目标检测")]
        ObjectDetection = 2,
        //[Description("图像分割")]
        //ImageSegmentation = 3
        [Description("语义分割")]
        SemanticSegmentation = 3,
        [Description("实例分割")]
        InstanceSegmentation = 4,
        [Description("目标检测GPU")]
        ObjectGPUDetection = 5
    }
    public class ModelLabel 
    {
        public string LabelId { get; set; }


        [Category("模型标签")]
        [DisplayName("模型标签索引")]
        [Description("模型识别的标签索引")]
        public int LabelIndex { get; set; }


        [Category("模型标签")]
        [DisplayName("模型标签")]
        [Description("模型识别的标签名称")]
        public string LabelName { get; set; }

      


        //[Category("模型配置")]
        //[DisplayName("模型参数配置")]
        //[Description("模型参数配置集合")]

        //public ModelParamSetting ModelParamSetting { get; set; } = new ModelParamSetting();


        public string GetDisplayText()
        {
            return $"{LabelId}-{LabelName}";
        }
    }
    public class MLRequest
    {
        public int ImageChannels = 3;
        public Mat mImage;
        public int ResizeWidth;
        public int ResizeHeight;

        public float confThreshold;

        public float iouThreshold;

        //public int ImageResizeCount;
        public bool IsCLDetection;
        public int ProCount;
        public string in_node_name;

        public string out_node_name;

        public string in_lable_path;

        public int ResizeImageSize;
        public int segmentWidth;
        public int ImageWidth;

       // public List<labelStringBase> OkClassTxtList;


        public List<ModelLabel> LabelNames;

        

    }
    public enum ResultState
    {
       
        [Description("检测NG")]
        DetectNG = -3,

        //[Description("检测不足TBD")]
        // ShortageTBD = -2,
        [Description("检测结果TBD")]
        ResultTBD = -1,
        [Description("OK")]
        OK = 1,
        // [Description("NG")]
        // NG = 2,
        //统计结果
        [Description("A类NG")]
        A_NG = 25,
        [Description("B类NG")]
        B_NG = 26,
        [Description("C类NG")]
        C_NG = 27,
    }
    /// <summary>
    /// 深度学习 识别结果明细 面向业务：detect 面向深度学习：Recongnition、Inference
    /// </summary>
    public class DetectionResultDetail
    {
        public string LabelBGR { get; set; }//识别到对象的标签BGR


        public int LabelNo { get; set; }   // 识别到对象的标签索引

        public string LabelName { get; set; }//识别到对象的标签名称

        public double Score { get; set; }//识别目标结果的可能性、得分

        public string LabelDisplay { get; set; }//识别到对象的 显示信息

        public double Area { get; set; }//识别目标的区域面积

        public Rectangle Rect { get; set; }//识别目标的外接矩形

        public RotatedRect MinRect { get; set; }//识别目标的最小外接矩形(带角度)

        public ResultState InferenceResult { get; set; }//只是模型推理 label的结果

        public double DistanceToImageCenter { get; set; }  //计算矩形框到图像中心的距离



        public ResultState FinalResult { get; set; }//模型推理+其他视觉、逻辑判断后 label结果
    }
    public class MLResult
    {
        public bool IsSuccess = false;
        public string ResultMessage;
        public Bitmap ResultMap;
        public List<DetectionResultDetail> ResultDetails = new List<DetectionResultDetail>();
    }
    public class MLInit
    {
        public string ModelFile;
        public string InferenceDevice;


        public int InferenceWidth;
        public int InferenceHeight;

        public string InputNodeName;


        public int SizeModel;

        public bool bReverse;//尺寸测量正反面
                             //目标检测Gpu
        public bool IsGPU;
        public int GPUId;
        public float Score_thre;
        public MLInit(string modelFile, bool isGPU, int gpuId, float score_thre)
        {
            ModelFile = modelFile;
            IsGPU = isGPU;
            GPUId = gpuId;
            Score_thre = score_thre;
        }

        public MLInit(string modelFile, string inputNodeName, string inferenceDevice, int inferenceWidth, int inferenceHeight)
        {
            ModelFile = modelFile;
            InferenceDevice = inferenceDevice;

            InferenceWidth = inferenceWidth;
            InferenceHeight = inferenceHeight;
            InputNodeName = inputNodeName;


        }
    }
    public class DetectStationResult 
    {
        public string Pid { get; set; }

        public string TempPid { get; set; }

        /// <summary>
        /// 检测工位名称
        /// </summary>
        public string DetectName { get; set; }

     
        /// <summary>
        /// 深度学习 检测结果
        /// </summary>
        public List<DetectionResultDetail> DetectDetails = new List<DetectionResultDetail>();


        /// <summary>
        /// 工位检测结果
        /// </summary>
        public ResultState ResultState { get; set; } = ResultState.ResultTBD;


        public double FinalResultfScore { get; set; } = 0.0;


        public string ResultLabel { get; set; } = "";// 多个ng时，根据label优先级，设定当前检测项的label

        public string ResultLabelCategoryId { get; set; } = "";// 多个ng时，根据label优先级，设定当前检测项的label

        public int PreTreatState { get; set; }
        public bool IsPreTreatDone { get; set; } = true;

        public bool IsAfterTreatDone { get; set; } = true;

        public bool IsMLDetectDone { get; set; } = true;

        /// <summary>
        /// 预处理阶段已经NG
        /// </summary>
        public bool IsPreTreatNG { get; set; } = false;

        /// <summary>
        /// 目标检测NG
        /// </summary>
        public bool IsObjectDetectNG { get; set; } = false;

        public DateTime EndTime { get; set; }

        public int StationDetectElapsed { get; set; }
        public static string NormalizeAndClean(string input)
        {
            if (input == null) return null;

            // Step 1: 标准化字符编码为 Form C (规范组合)
            string normalizedString = input.Normalize(NormalizationForm.FormC);

            // Step 2: 移除所有空白字符，包括制表符和换行符
            string withoutWhitespace = Regex.Replace(normalizedString, @"\s+", "");

            // Step 3: 移除控制字符 (Unicode 控制字符，范围 \u0000 - \u001F 和 \u007F)
            string withoutControlChars = Regex.Replace(withoutWhitespace, @"[\u0000-\u001F\u007F]+", "");

            // Step 4: 移除特殊的不可见字符（如零宽度空格等）
            string cleanedString = Regex.Replace(withoutControlChars, @"[\u200B\u200C\u200D\uFEFF]+", "");

            return cleanedString;
        }
       
    }
    public class RelatedCamera 
    {

        [Category("关联相机")]
        [DisplayName("关联相机")]
        [Description("关联相机描述")]
       
        //[TypeConverter(typeof(CollectionCountConvert))]
        public string CameraSourceId { get; set; } = "";

        public RelatedCamera()
        {

        }
        public RelatedCamera(string cameraSourceId)
        {
            CameraSourceId = cameraSourceId;

        }
    }
    public class DetectionConfig
    {
        [ReadOnly(true)]
        public string Id { get; set; } = Guid.NewGuid().ToString();


        [Category("检测配置")]
        [DisplayName("检测配置名称")]
        [Description("检测配置名称")]
        public string Name { get; set; }

        [Category("关联相机")]
        [DisplayName("关联相机")]
        [Description("关联相机描述")]
       
       
        public string CameraSourceId { get; set; } = "";


        [Category("关联相机集合")]
        [DisplayName("关联相机集合")]
        [Description("关联相机描述")]
        //[TypeConverter(typeof(DeviceIdSelectorConverter<CameraBase>))]
       
        public List<RelatedCamera> CameraCollects { get; set; } = new List<RelatedCamera>();


        [Category("启用配置")]
        [DisplayName("是否启用GPU检测")]
        [Description("是否启用GPU检测")]
        public bool IsEnableGPU { get; set; } = false;

        [Category("启用配置")]
        [DisplayName("是否混料模型")]
        [Description("是否混料模型")]
        public bool IsMixModel { get; set; } = false;

      

        [Category("启用配置")]
        [DisplayName("是否启用该检测")]
        [Description("是否启用该检测")]
        public bool IsEnabled { get; set; }

        [Category("启用配置")]
        [DisplayName("是否加入检测工位")]
        [Description("是否加入检测工位")]
        public bool IsAddStation { get; set; } = true;

        [Category("2.中检测（深度学习）")]
        [DisplayName("中检测-模型类型")]
        [Description("模型类型：ImageClassification-图片分类；ObjectDetection：目标检测；Segmentation-图像分割")]
        //[TypeConverter(typeof(EnumDescriptionConverter<MLModelType>))]
        public MLModelType ModelType { get; set; } = MLModelType.ObjectDetection;

        //[Category("2.中检测（深度学习）")]
        //[DisplayName("中检测-GPU索引")]
        //[Description("GPU索引")]
        //public int GPUIndex { get; set; } = 0;

        [Category("2.中检测（深度学习）")]
        [DisplayName("中检测-模型文件路径")]
        [Description("中处理 深度学习模型文件路径，路径中不可含有中文字符，一般情况可以只配置中检测模型，当需要先用预检测过滤一次时，请先配置好与预检测相关配置")]
       
        public string ModelPath { get; set; }

        [Category("2.中检测（深度学习）")]
        [DisplayName("中检测-模型宽度")]
        [Description("中处理-模型宽度")]

        public int ModelWidth { get; set; } = 640;

        [Category("2.中检测（深度学习）")]
        [DisplayName("中检测-模型高度")]
        [Description("中处理-模型高度")]

        public int ModelHeight { get; set; } = 640;

        [Category("2.中检测（深度学习）")]
        [DisplayName("中检测-模型节点名称")]
        [Description("中处理-模型节点名称")]

        public string ModeloutNodeName { get; set; } = "output0";

        [Category("2.中检测（深度学习）")]
        [DisplayName("中检测-模型置信度")]
        [Description("中处理-模型置信度")]

        public float ModelconfThreshold { get; set; } = 0.5f;

        [Category("2.中检测（深度学习）")]
        [DisplayName("中检测-模型标签路径")]
        [Description("中处理-模型标签路径")]

        public string in_lable_path { get; set; }

        [Category("4.最终过滤（逻辑过滤）")]
        [DisplayName("过滤器集合")]
        [Description("最后的逻辑过滤：可根据 识别出对象的 宽度、高度、面积、得分来设置最终检测结果，同一识别目标同一判定，多项过滤器之间为“或”关系")]
        
        public List<DetectionFilter> DetectionFilterList { get; set; } = new List<DetectionFilter>();

        //[Category("深度学习配置")]
        //[DisplayName("检测配置标签")]
        //[Description("检测配置标签关联")]
      
        //public List<DetectConfigLabel> DetectConfigLabelList { get; set; } = new List<DetectConfigLabel>();


        public DetectionConfig()
        {

        }

        public DetectionConfig(string name, MLModelType modelType, string modelPath, bool isEnableGPU,string sCameraSourceId)
        {
            ModelPath = modelPath ?? string.Empty;
            Name = name;
            ModelType = modelType;
            IsEnableGPU = isEnableGPU;
            Id = Guid.NewGuid().ToString();
            CameraSourceId = sCameraSourceId;

        }
    }
    /// <summary>
    /// 识别目标定义 class：分类信息    Detection Segmentation：要识别的对象
    /// </summary>
    public class RecongnitionLabel //: IComplexDisplay
    {
        [Category("检测标签定义")]
        [Description("检测标签编码")]
        [ReadOnly(true)]
        public string Id { get; set; } = Guid.NewGuid().ToString();

        [Category("检测标签定义")]
        [DisplayName("检测标签名称")]
        [Description("检测标签名称")]
        public string LabelName { get; set; } = "";

        [Category("检测标签定义")]
        [DisplayName("检测标签描述")]
        [Description("检测标签描述，中文描述")]
        public string LabelDescription { get; set; } = "";

        [Category("检测标签定义")]
        [DisplayName("检测标签分类")]
        [Description("检测标签分类id")]
        //[TypeConverter(typeof(LabelCategoryConverter))]
        public string LabelCategory { get; set; } = "";

       

       
    }

    /// <summary>
    /// 检测项识别对象
    /// </summary>
    public class DetectConfigLabel //: IComplexDisplay
    {
        [Category("检测项标签")]
        [DisplayName("检测项标签")]
        [Description("检测标签Id")]
        //[TypeConverter(typeof(DetectionLabelConverter))]
        public string LabelId { get; set; }

        [Browsable(false)]
        //public string LabelName { get => GetLabelName(); }

        [Category("检测项标签")]
        [DisplayName("检测标签优先级")]
        [Description("检测标签优先级，值越小，优先级越高")]
        public int LabelPriority { get; set; } = 0;

        //[Category("检测项标签")]
        //[DisplayName("标签BGR值")]
        //[Description("检测标签BGR值，例如：0,128,0")]
        //public string LabelBGR { get; set; }

        //[Category("模型配置")]
        //[DisplayName("模型参数配置")]
        //[Description("模型参数配置集合")]
        //[TypeConverter(typeof(ComplexObjectConvert))]
        //[Editor(typeof(PropertyObjectEditor), typeof(UITypeEditor))]
        //public ModelParamSetting ModelParamSetting { get; set; } = new ModelParamSetting();

        //public string GetDisplayText()
        //{
        //    string dName = "";
        //    if (!string.IsNullOrWhiteSpace(LabelId))
        //    {
        //        using (var scope = GlobalVar.Container.BeginLifetimeScope())
        //        {
        //            IProcessConfig config = scope.Resolve<IProcessConfig>();

        //            var mlBase = config.DeviceConfigs.FirstOrDefault(c => c is VisionEngineInitialConfigBase) as VisionEngineInitialConfigBase;
        //            if (mlBase != null)
        //            {
        //                var targetLabel = mlBase.RecongnitionLabelList.FirstOrDefault(u => u.Id == LabelId);
        //                if (targetLabel != null)
        //                {
        //                    dName = targetLabel.GetDisplayText();
        //                }
        //            }
        //        }
        //    }
        //    return dName;
        //}
        //public string GetLabelName()
        //{
        //    var name = "";
           
               
        //        var mlBase = iConfig.DeviceConfigs.FirstOrDefault(c => c is VisionEngineInitialConfigBase) as VisionEngineInitialConfigBase;
        //        if (mlBase != null)
        //        {
        //            var label = mlBase.RecongnitionLabelList.FirstOrDefault(u => u.Id == LabelId);
        //            if (label != null)
        //            {
        //                name = label.LabelName;
        //            }
        //        }

            
        //    return name;
        //}
    }

    /// <summary>
    /// 识别对象定义分类信息 A类B类 
    /// </summary>
    public class RecongnitionLabelCategory //: IComplexDisplay
    {
        [Category("检测标签分类")]
        [Description("检测标签分类")]
        [ReadOnly(true)]
        public string Id { get; set; } = Guid.NewGuid().ToString();

        [Category("检测标签分类")]
        [DisplayName("检测标签分类名称")]
        [Description("检测标签分类名称")]
        public string CategoryName { get; set; } = "A-NG";

        [Category("检测标签分类")]
        [DisplayName("检测标签分类优先级")]
        [Description("检测标签分类优先级，值越小，优先级越高")]
        public int CategoryPriority { get; set; } = 0;

        public string GetDisplayText()
        {
            return CategoryPriority + ":" + CategoryName;
        }
    }

    /// <summary>
    /// 检测过滤
    /// </summary>
    public class DetectionFilter ///: IComplexDisplay
    {
        [Category("过滤器基础信息")]
        [DisplayName("检测标签")]
        [Description("检测标签信息")]
        //[TypeConverter(typeof(DetectionLabelConverter))]
        public string LabelId { get; set; }

       // [Browsable(false)]
        public string LabelName { get; set; }

        [Category("过滤器基础信息")]
        [DisplayName("是否启用过滤器")]
        [Description("是否启用过滤器")]
        public bool IsEnabled { get; set; }

        [Category("过滤器判定信息")]
        [DisplayName("判定结果")]
        [Description("过滤器默认判定结果")]
        public ResultState ResultState { get; set; } = ResultState.ResultTBD;

        [Category("过滤条件")]
        [DisplayName("过滤条件集合")]
        [Description("过滤条件集合，集合之间为“且”关系")]
        //[TypeConverter(typeof(CollectionCountConvert))]
      //  [Editor(typeof(ComplexCollectionEditor<FilterConditions>), typeof(UITypeEditor))]
        public List<FilterConditions> FilterConditionsCollection { get; set; } = new List<FilterConditions>();

      
      
        public bool FilterOperation(DetectionResultDetail recongnitionResult)
        {
            return FilterConditionsCollection.All(u =>
            {
                return u.FilterConditionCollection.Any(c =>
                {
                    double compareValue = 0;

                    switch (c.FilterPropperty)
                    {
                        case DetectionFilterProperty.Width:
                            compareValue = recongnitionResult.Rect.Width;
                            break;
                        case DetectionFilterProperty.Height:
                            compareValue = recongnitionResult.Rect.Height;
                            break;
                        case DetectionFilterProperty.Area:
                            compareValue = recongnitionResult.Area;
                            break;
                        case DetectionFilterProperty.Score:
                            compareValue = recongnitionResult.Score;
                            break;
                            //case RecongnitionTargetFilterProperty.Uncertainty:
                            //    compareValue = 0;
                            //    //defect.Uncertainty;
                            //    break;
                    }

                    return compareValue >= c.MinValue && compareValue <= c.MaxValue;
                });
            });
        }
    }

    public class FilterConditions //: IComplexDisplay
    {
        [Category("过滤条件")]
        [DisplayName("过滤条件集合")]
        [Description("过滤条件集合，集合之间为“或”关系")]
        //[TypeConverter(typeof(CollectionCountConvert))]
        //[Editor(typeof(ComplexCollectionEditor<FilterCondition>), typeof(UITypeEditor))]
        public List<FilterCondition> FilterConditionCollection { get; set; } = new List<FilterCondition>();

        //public string GetDisplayText()
        //{
        //    if (FilterConditionCollection.Count == 0)
        //    {
        //        return "空";
        //    }
        //    else
        //    {
        //        var desc = string.Join(" OR ", FilterConditionCollection.Select(u => u.GetDisplayText()));

        //        if (FilterConditionCollection.Count > 1)
        //        {
        //            desc = $"({desc})";
        //        }

        //        return desc;
        //    }
        //}
    }

    public class FilterCondition //: IComplexDisplay
    {
        [Category("识别目标属性")]
        [DisplayName("过滤属性")]
        [Description("识别目标过滤针对的属性")]
        //[TypeConverter(typeof(EnumDescriptionConverter<DetectionFilterProperty>))]
        public DetectionFilterProperty FilterPropperty { get; set; } = DetectionFilterProperty.Width;

        [Category("过滤值")]
        [DisplayName("最小值")]
        [Description("最小值")]
        public double MinValue { get; set; } = 1;

        [Category("过滤值")]
        [DisplayName("最大值")]
        [Description("最大值")]
        public double MaxValue { get; set; } = 99999999;

        //public string GetDisplayText()
        //{
        //    return $"{FilterPropperty.GetEnumDescription()}:{MinValue}-{MaxValue}";
        //}
    }

    public enum DetectionFilterProperty
    {
        [Description("宽度")]
        Width = 1,
        [Description("高度")]
        Height = 2,
        [Description("面积")]
        Area = 3,
        [Description("得分")]
        Score = 4,
        //[Description("不确定性")]
        //Uncertainty = 5,
    }
}