using Microsoft.AspNetCore.Mvc;
using SkiaSharp;
using ViewFaceCore.Core;
using ViewFaceCore.Model;
using ViewFaceCore.Exceptions;
using ViewFaceCore;
using ViewFaceCore.Configs;
using Microsoft.AspNetCore.Authorization;
using Dlhis.InfoCheck.Request;
using Dlhis.InfoCheck.Response;

namespace Dlhis.InfoCheck.Controllers;

/// <summary>
/// 人脸检测
/// </summary>
[Authorize]
[ApiController]
[Route("api/[controller]")]
public class FaceController : ControllerBase
{
    /// <summary>
    /// 人脸质量检测
    /// </summary>
    /// <param name="request"></param>
    /// <returns></returns>
    [HttpPost("detection")]
    public object FacialDetection(FaceDetectRequest request)
    {
        var base64Bytes = Convert.FromBase64String(request.Base64);
        using var stream = new MemoryStream(base64Bytes);
        using var bitmap = SKBitmap.Decode(stream);
        using var faceDetector = new FaceDetector();

        using var faceMark = new FaceLandmarker(new FaceLandmarkConfig
        {
            MarkType = MarkType.Light
        });

        //todo 多人情况
        var info = faceDetector.Detect(bitmap).First();
        var markPoints = faceMark.Mark(bitmap, info);

        using var faceQuality = new FaceQuality();
        var brightnessResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.Brightness);
        var resolutionResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.Resolution);
        //var clarityResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.Clarity);
        var clarityExResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.ClarityEx);
        var integrityExResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.Integrity);
        var structureeResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.Structure);
        //var poseResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.Pose);
        var poseExeResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.PoseEx);

        return new
        {
            Brightness = brightnessResult,
            Resolution = resolutionResult,
            Clarity = clarityExResult,
            Integrity = integrityExResult,
            Structure = structureeResult,
            Pose = poseExeResult
        };
    }


    /// <summary>
    /// 人脸对比
    /// </summary>
    /// <param name="request"></param>
    /// <returns></returns>
    [HttpPost("recognize")]
    public FaceRecognizeResponse FacialRecognize(FaceRecognizeRequest request)
    {
        var firstBase64Bytes = Convert.FromBase64String(request.FirstBase64);
        using var firstStream = new MemoryStream(firstBase64Bytes);
        using var firstBitmap = SKBitmap.Decode(firstStream);

        var secondBase64Bytes = Convert.FromBase64String(request.SecondBase64);
        using var secondStream = new MemoryStream(secondBase64Bytes);
        using var secondBitmap = SKBitmap.Decode(secondStream);

        //对应阈值 FaceType.Normal：0.62、FaceType.Mask：0.4、FaceType.Light：0.55
        //FaceType = FaceType.Normal,
        using var recognizer = new FaceRecognizer();

        using var faceDetector = new FaceDetector();
        using var faceMark = new FaceLandmarker();

        //todo
        var lft = recognizer.Extract(firstBitmap, faceMark.Mark(firstBitmap, faceDetector.Detect(firstBitmap).First()));
        var rft = recognizer.Extract(secondBitmap, faceMark.Mark(secondBitmap, faceDetector.Detect(secondBitmap).First()));

        var similarity = recognizer.Compare(lft, rft);
        var isSelf = recognizer.IsSelf(similarity);

        return new FaceRecognizeResponse
        {
            Similarity = similarity,
            IsSelf = isSelf
        };
    }
}