#pragma once
#include <thread>
#include <mutex>
#include <atomic>
#include <opencv2/opencv.hpp>
#include "ImageProcess/ImageApplyHeaders.h"
#include "PublicFunc.h"
#include "BlockingQueue.h"
#include <memory>
//#include "threadpool.hpp"
#include "PaperSize.h"
#include "filetools.h"
//创建唯一 uuid
#include "snowflake.h"

using namespace std;
class IMat2Bmp {
public:
	virtual ~IMat2Bmp() {
		if (m_data.get())
			m_data.reset();
	}
	virtual std::shared_ptr<std::vector<unsigned char>> getBmpDataBuffer() {
		return m_data;
	};
	virtual void setBmpFileHeader(const cv::Mat& mat) {};
	virtual void setBmpInfoHeader(const cv::Mat& mat, const long res) {};
protected:
	std::shared_ptr<std::vector<unsigned char>> m_data;
};

class Mat2Bmp :public IMat2Bmp {
public:
	Mat2Bmp(const cv::Mat& mat, float res) {
		//m_data =std::shared_ptr<std::vector<unsigned char>>(new std::vector<unsigned char>());
		//m_data.reset(new std::vector<unsigned char>());
		int headersize = mat.channels() == 3 ? 54 : 1078;
		int  step = mat.step;
		int bmpdatasize = (step + 3) / 4 * 4 * mat.rows;
		int m_datalinesize = (step + 3) / 4 * 4;
		int height = mat.rows;
		//m_data->resize(headersize + bmpdatasize);
		m_data.reset(new std::vector<unsigned char>(headersize + bmpdatasize));
		if (mat.channels() == 1)
		{
			uchar colortable[256 * 4]{ 0 };
			for (int i = 0; i < 256; i++) {
				colortable[i * 4] = colortable[i * 4 + 1] = colortable[i * 4 + 2] = i;
			}
			memcpy(m_data->data() + 54, colortable, 256 * 4);
		}
		cv::imencode(".bmp", mat, *(m_data.get()));
		setBmpFileHeader(mat);
		setBmpInfoHeader(mat, res);
	
		//uchar* data = m_data->data() + headersize + bmpdatasize;
		//uchar* matdata = mat.data;
		//for (int i = 0; i < mat.rows; i++) {
		//	data -= m_datalinesize;
		//	memcpy(data, matdata, step);
		//	matdata += step;
		//}
	}
private:
	void setBmpFileHeader(const cv::Mat& mat)
	{
		BITMAPFILEHEADER* fileheader = (BITMAPFILEHEADER*)(m_data->data());
		fileheader->bfType = ((unsigned short)('M' << 8) | 'B');
		fileheader->bfSize = m_data.get()->size();
		fileheader->bfReserved1 = 0;
		fileheader->bfReserved2 = 0;
		fileheader->bfOffBits = mat.channels() == 3 ? 54 : 1078;
	}

	void setBmpInfoHeader(const cv::Mat& mat, const long res)
	{
		BITMAPINFOHEADER* infoheader = (BITMAPINFOHEADER*)(m_data->data() + sizeof(BITMAPFILEHEADER));
		infoheader->biSize = sizeof(BITMAPINFOHEADER);
		infoheader->biWidth = mat.cols;
		infoheader->biHeight = mat.rows;
		infoheader->biPlanes = 1;
		infoheader->biBitCount = mat.channels() == 3 ? 24 : 8;
		infoheader->biCompression = 0;
		infoheader->biSizeImage = (int)((mat.cols * mat.channels() * 8 + 31) / 32) * 4 * mat.rows;
		infoheader->biXPelsPerMeter = infoheader->biYPelsPerMeter = static_cast<LONG>(res * 39.37F + 0.5);
		infoheader->biClrUsed = infoheader->biClrImportant = infoheader->biBitCount == 8 ? 256 : 0;
	}
};

class Mat2BmpBw :public IMat2Bmp {
public:
	Mat2BmpBw(const cv::Mat& mat, float res) {
		m_data = std::shared_ptr<std::vector<unsigned char>>(new std::vector<unsigned char >());
		int headsize = 62;
		int width = mat.cols;
		int height = mat.rows;
		int bmpdatasize = (width + 31) / 32 * 4 * height;
		m_data->resize(headsize + bmpdatasize);

		unsigned char* binary = m_data->data() + 62;//file header(14)+info header(40)+RGBQUAD(8)
		setBmpFileHeader(mat, bmpdatasize);
		setBmpInfoHeader(mat, bmpdatasize, res);
		memcpy(m_data->data(), &m_fileHeader, sizeof(BITMAPFILEHEADER));
		memcpy(m_data->data() + sizeof(BITMAPFILEHEADER), &m_infoHeader, sizeof(BITMAPINFOHEADER));
		RGBQUAD* quad = (RGBQUAD*)(m_data->data() + sizeof(BITMAPFILEHEADER) + sizeof(BITMAPINFOHEADER));
		quad->rgbBlue = quad->rgbGreen = quad->rgbRed = quad->rgbReserved = 0;
		quad++;
		quad->rgbBlue = quad->rgbGreen = quad->rgbRed = 255;
		quad->rgbReserved = 0;

		unsigned char* imageData = mat.data;
		unsigned char temp;
		int n_lineByte = (width + 7) >> 3;
		int m_lineByte = ((n_lineByte * 8 + 31) >> 5) << 2;
		for (int row = height - 1; row >= 0; row--)
		{
			for (int col = 0; col < width; col++)
			{
				int pos = col % 8;
				int pix = *(imageData + row * mat.step1() + col);
				temp = 1 << (7 - pos);
				if (pix == 255)
				{
					*(binary + (height - row - 1) * m_lineByte + col / 8) |= temp;
				}
				else
				{
					*(binary + (height - row - 1) * m_lineByte + col / 8) &= (~temp);
				}
			}
		}
	}
private:
	void setBmpFileHeader(const cv::Mat& mat, const int bmpDataLen) {
		memset(&m_fileHeader, 0, sizeof(BITMAPFILEHEADER));
		m_fileHeader.bfType = ((unsigned short)('M' << 8) | 'B');
		m_fileHeader.bfOffBits = sizeof(BITMAPFILEHEADER) + sizeof(BITMAPINFOHEADER) + (sizeof(RGBQUAD) * 2);
		int nDIBSize = sizeof(BITMAPINFOHEADER) + (sizeof(RGBQUAD) * 2) + bmpDataLen;
		m_fileHeader.bfSize = sizeof(BITMAPFILEHEADER) + nDIBSize;
		m_fileHeader.bfReserved1 = m_fileHeader.bfReserved2 = 0;
	}

	void setBmpInfoHeader(const cv::Mat& mat, const int bmpDataLen, const long res) {
		memset(&m_infoHeader, 0, sizeof(BITMAPINFOHEADER));
		m_infoHeader.biSize = sizeof(BITMAPINFOHEADER);
		m_infoHeader.biWidth = mat.cols;
		m_infoHeader.biHeight = mat.rows;
		m_infoHeader.biPlanes = 1;
		m_infoHeader.biBitCount = 1;
		m_infoHeader.biCompression = 0;
		m_infoHeader.biSizeImage = bmpDataLen;
		m_infoHeader.biXPelsPerMeter = m_infoHeader.biYPelsPerMeter = static_cast<LONG>(res * 39.37F + 0.5);
		m_infoHeader.biClrUsed = m_infoHeader.biClrImportant = 2;
	}

private:
	BITMAPFILEHEADER m_fileHeader;
	BITMAPINFOHEADER m_infoHeader;
};

class IDecode {
public:
	virtual ~IDecode() {}
	virtual std::vector<std::shared_ptr<std::vector<char>>> getImageBuffs() {
		return m_buffs;
	}
protected:
	std::vector<std::shared_ptr<std::vector<char>>> m_buffs;
};

class G200Decode : public IDecode {
public:
	G200Decode(std::shared_ptr<std::vector<char>> buff);
	virtual ~G200Decode()
	{

	}
};

class G400Decode : public IDecode {
public:
	G400Decode(std::shared_ptr<std::vector<char>> buff);
	virtual ~G400Decode()
	{

	}
};

enum ScannerSerial
{
	G200Serial,
	G400Serial
};

struct	CacheInfo
{
	std::string path;
	ScannerSerial scannerType;
};
using snowflake_t = snowflake<1534832906275L, std::mutex>;
class ImageMatQueue
{
public:
	ImageMatQueue(void);
	~ImageMatQueue(void);

	void pushMat(std::shared_ptr<IDecode> buf);
	std::shared_ptr<std::vector<unsigned char>> popBmpdata();
	bool empty();
	bool queuesempty();
	bool valid();
	bool get_isDogEar();
	void reset_DogEar();
	void clear();
	void rawBuffsclear();
	void setparam(const GScanCap& param);
	void run();
	int orginimgcount();
	void setscanflags(const bool flags) { is_scanning = flags; }
	void updatefixratio(float& hratio, float& vratio);
	void SetGetimgnumcall(std::function<void(bool, int)> getimgnumcall);
	void SetDogEarCallback(std::function<void(int)> dogearcall);

private:
	void proc();
	void EnqueueBmpBuffer(std::shared_ptr<std::vector<unsigned char>>);
	void PaniusCount(int count = 1);
	void init_cachethread();
	void splitimg(std::vector<cv::Mat>& mats);
	void duplex_process(CacheInfo info);
	void single_process(cv::Mat& mat);
	void cache_run();
	void MultiOut(cv::Mat & pDid);
	//清除缓存文件
	void clear_cachefiles();

	BlockingQueue<std::shared_ptr<std::vector<unsigned char>>> m_imagedata;//已处理图像队列
	BlockingQueue<CacheInfo> m_imgCacheinfo;//缓存图像队列
	BlockingQueue<std::shared_ptr<IDecode>> m_rawBuffs;//原图队列
	std::unique_ptr<thread> m_threadProc;//图像处理线程
	std::unique_ptr<thread> m_threadcache;//缓存线程
	bool ischeck_dogear;
	volatile int DogEar_index;
	volatile bool is_DogEar;
	atomic_bool bRun;
	atomic_bool benablecache;
	atomic_int atm_orgin_image_remains;
	atomic_bool is_scanning;
	GScanCap scanParam;
	Device::PaperSize papersize;
	std::shared_ptr<CImageApplyDogEarDetection> m_dogear;
	std::shared_ptr<CImageApplyColorCastCorrect> m_colorcast;
	std::vector<std::shared_ptr<CImageApply>> m_iaList;   //ͼÏñ´¦Àíº¯Êý½Ó¿Ú
	float fx, fy;
	std::function<void(int)>  m_DogEarDetection_callback;
	std::function<void(bool, int)> m_Getimagenumber;
	snowflake_t m_snowflake;
};