import io
import base64
import json
from PIL import Image
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
import uvicorn
import cv2
import numpy as np

import sys
sys.setrecursionlimit(64*64)

def extract_skin(img):

    # as rgba
    mask = Image.open('skin-mask.png')
    img = img.convert('RGBA')

    # crop to half size
    img = img.crop((0, 0, img.width // 2, img.height // 2))

    bg_color = img.getpixel((0, 0))

    def color_diff(a,b):
        return 0.299*(a[0]-b[0])**2 + 0.587*(a[1]-b[1])**2 + 0.114*(a[2]-b[2])**2

    dot_color = (255,255,255)
    ratio = img.width // 64
    ignore_map = {}
    t1 = 3000
    t2 = 2000
    for x in range(64):
        for y in range(64):
            if mask.getpixel((x, y))[3] == 0:
                if (color_diff(img.getpixel((x*ratio+2, y*ratio+2)),  dot_color) < t1 or\
                    color_diff(img.getpixel((x*ratio+2, y*ratio+3)), dot_color) < t1 or\
                    color_diff(img.getpixel((x*ratio+3, y*ratio+3)), dot_color) < t1 or\
                    color_diff(img.getpixel((x*ratio+3, y*ratio+2)), dot_color) < t1) and\
                    (color_diff(img.getpixel((x*ratio+1, y*ratio+1)), bg_color) < t2 or\
                    color_diff(img.getpixel((x*ratio+4, y*ratio+4)), bg_color) <t2 or\
                    color_diff(img.getpixel((x*ratio+1, y*ratio+4)), bg_color) < t2 or\
                    color_diff(img.getpixel((x*ratio+4, y*ratio+1)), bg_color) < t2):
                    ignore_map[(x, y)] = True
                else:
                    # Set 6x6 area to the color of the central 4x4 pixels
                    c=  img.getpixel((x*ratio+2, y*ratio+2))
                    for i in range(x*ratio, x*ratio+6):
                        for j in range(y*ratio, y*ratio+6):
                            img.putpixel((i, j),c)

    img = img.resize((64, 64), Image.BOX)
    for x in range(64):
        for y in range(64):
            if ignore_map.get((x, y), False):
                img.putpixel((x,y),(0,0,0,0))

    img.save('test_tmp.png')
    return img

class ExtractSkinRequest(BaseModel):
    img: str

if __name__ == '__main__':
    # from args
    import argparse
    parser = argparse.ArgumentParser()
    parser.add_argument('--img', type=str, default="test_1.png")
    parser.add_argument('--output', type=str, default="test_output.png")
    parser.add_argument('--server', type=str, default='False')
    args = parser.parse_args()

    if args.server.lower() == 'false':
        img = Image.open(args.img)
        res_img = extract_skin(img)
        res_img.save(args.output)
    else:
        # start server
        app = FastAPI()

        # Configure CORS
        app.add_middleware(
            CORSMiddleware,
            allow_origins=["*"],
            allow_methods=["*"],
            allow_headers=["*"],
        )

        #listen 10010
        @app.post('/extract')
        def extract(request: ExtractSkinRequest):
            try:
                # from request json body img:base64
                img_data = base64.b64decode(request.img)
                img = Image.open(io.BytesIO(img_data))
                
                # response json {img:base64}
                res_img = extract_skin(img)
                
                # Convert PIL Image to base64 PNG
                buffered = io.BytesIO()
                res_img.save(buffered, format="PNG")
                res_img.save('tmp.png')
                img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')
                
                return {'img': img_str}
            except Exception as e:
                raise HTTPException(status_code=400, detail=str(e))

        uvicorn.run(app, host="0.0.0.0", port=10010)