import json
import numpy as np
import cv2
from PIL import Image, ImageDraw


def readjson(filename):
	with open(filename, 'r', encoding='utf-8') as f:
		data = json.load(f)
	polygon=None
	kps = np.ones((24,3))*-1 #x1,y1,status (-1:not exist. 0/1: covered or not)
	for x in data['shapes']:
		if x['shape_type']=='polygon':
			polygon = x['points']
		elif x['shape_type']=='point':
			_,index,hidden = x['label'].split('-')
			index = int(index.split('_')[-1])
			hidden = int(hidden[-1]=='1')
			kps[index] = np.array([x['points'][0][0],x['points'][0][1],hidden])

	poly = np.array(polygon)
	polymax = np.max(poly,axis=0).tolist()
	polymin = np.min(poly,axis=0).tolist()
	bbox = polymin+polymax  #x1 y1 x2 y2
	return polygon,kps,bbox

def polygon2seg(image,polygon):
	for i in range(len(polygon)):
		polygon[i] = tuple(polygon[i])
	mask = Image.new('L', (image.width, image.height), 0)
	ImageDraw.Draw(mask).polygon(polygon, outline=0, fill=1)
	return np.array(mask)

def show_seg(image,mask):
	image = np.array(image).copy()
	mask = np.array(mask)
	mask = mask[:,:,np.newaxis]	
	masked_image = image*mask
	Image.fromarray(masked_image)
	masked_image = Image.fromarray(masked_image)
	masked_image.show()
	return 

def show_kps(image,kps):
	image = np.array(image).copy()
	for x,y,h in kps:
		y,x,h = int(y),int(x),int(h)
		if h==-1:
			continue
		point_size=2
		if h==0:
			point_color=(0,0,255)
		else:
			point_color=(0,255,0)
		cv2.circle(image,(x,y),point_size,point_color,thickness=4)
	pil_image = Image.fromarray(image)
	pil_image.show()
	return 

def reshape_image_and_anno(image,mask,kps,bbox,size=512):
	def move_kps(kps,move=None,ratio=None):
		if move is not None:
			for i in range(len(kps)):
				if kps[i][2]!=-1:
					kps[i][:2] += move
		elif ratio is not None:
			for i in range(len(kps)):
				if kps[i][0]!=-1:
					kps[i][:2] *= ratio
		return kps
	image = np.array(image)
	mask = np.array(mask)
	y1,x1,y2,x2 = bbox 
	image = image[x1:x2, y1:y2]
	mask = mask[x1:x2,y1:y2]
	kps = move_kps(kps,move=-np.array([y1,x1])) 
	
	#diff
	dx = abs(x2-x1)
	dy = abs(y2-y1)
	dif = abs(dx-dy)
	if dx>dy:
		image = cv2.copyMakeBorder(image, 0, 0, int(dif//2), int(dif-dif//2), cv2.BORDER_CONSTANT, value=(255,255,255))
		mask = cv2.copyMakeBorder(mask, 0, 0, int(dif//2), int(dif-dif//2), cv2.BORDER_CONSTANT, value=(255,255,255))
		kps = move_kps(kps,move=np.array([int(dif//2),0]))
	else:
		image = cv2.copyMakeBorder(image, int(dif//2), int(dif-dif//2), 0, 0, cv2.BORDER_CONSTANT, value=(255,255,255))
		mask = cv2.copyMakeBorder(mask, int(dif//2), int(dif-dif//2), 0, 0, cv2.BORDER_CONSTANT, value=(255,255,255))
		kps = move_kps(kps,move=np.array([0,int(dif//2)]))
	
	#ratio
	ratio = size/max(dx,dy)
	image = cv2.resize(image,(size,size))
	mask = cv2.resize(mask,(size,size))
	kps = move_kps(kps,ratio=ratio)
	return image,mask,kps

"""
def __name__=='__main__':
	image = Image.open("raw_image.jpeg").convert('RGB')
	polygon,kps,bbox = readjson("annotation.json")
	mask = polygon2seg(image,polygon)
	# show_seg(image,mask)
	# show_kps(image,kps)

	size=512
	nimage,nmask,nkps = reshape_image_and_anno(image,mask,kps,size)
	show_seg(nimage,nmask)
	show_kps(nimage,nkps)


"""