from analyzer.epoint import EPoint

from analyzer.corners import Corners

class Board:

	def __init__(self,**kwargs):

		self.board=Corners(kwargs.get("board") or [])

		self.grid=Corners(kwargs.get("grid") or [])

	def isEmpty(self):

class DataFile(MutableMapping):

	"""self.data: {filename: [Board, ...}"""

	def __init__(self,filename):

		self.filename=filename

			json.dump(self._data,f,default=self.serialize,indent="\t")

	def serialize(self,obj):

		if isinstance(obj,EPoint):

			return {"type": "EPoint", "val": [obj.x,obj.y]}

		elif isinstance(obj,Board):

		raise TypeError(obj)

	def deserialize(self,obj):

		type=obj.get("type")

		if type=="EPoint": return EPoint(*obj["val"])

		elif type=="Board": return Board(**obj["val"])

		self.isGrid=not self.isGrid

		self._markCorners()

	def deleteBoard(self):

		self._boards.pop(self.m)

		self._flush()

		self.showImage()

	def addCorner(self,e):

		self.corners.add(e.x,e.y)

		self._flush()

		self._markCorners()

	def save(self):

		if self._dirty:

			self.annotations.save()

			self._dirty=False

	def _flush(self):

		self.annotations[self.filename]=[b for b in self._boards if not b.isEmpty()]

	def _createGUI(self):

		self.root=root=tk.Tk()

		frame=tk.Frame(root)

		frame.grid(column=0,row=0,sticky=(N,S,E,W))

		root.bind("<b>",lambda e: self.setLetter("b"))

		root.bind("<e>",lambda e: self.setLetter("e"))

		root.bind("<w>",lambda e: self.setLetter("w"))

		root.bind("<Key-period>",lambda e: self.switchAsterisk())

		root.bind("<Key-comma>",lambda e: self.switchGrid())

		root.bind("<d>",lambda e: self.deleteBoard())

		root.mainloop()

	def _createBar(self,frame):

		bar=tk.Frame(frame,height=20,borderwidth=1,relief="sunken")

		self.letterLabel=tk.Label(bar,width=8,text="Letter: _")

		self.posLabel=tk.Label(bar,width=16,text="(,)")

		self.posLabel.pack(side=LEFT)

		self.colorLabel=tk.Label(bar,width=20,text="HSV: (,,)")

		self.colorLabel.pack(side=LEFT)

		self.asteriskLabel=tk.Label(bar,width=4,text="()")

		self.asteriskLabel.pack(side=LEFT)

		return bar

	def _markCorners(self):

		self.canvas.delete("mark")

		for b in self._boards:

					(a,b,c,d)=corners

					dash=tuple() if corners is self.corners else (4,4)

					self.canvas.create_line(a.x,a.y,b.x,b.y,fill="#00ff00",dash=dash,tags="mark")

					self.canvas.create_line(b.x,b.y,c.x,c.y,fill="#00ff00",dash=dash,tags="mark")

					self.canvas.create_line(c.x,c.y,d.x,d.y,fill="#00ff00",dash=dash,tags="mark")

					self.canvas.create_line(d.x,d.y,a.x,a.y,fill="#00ff00",dash=dash,tags="mark")

	@property

	def corners(self):

		return b.grid if self.isGrid else b.board

	@property

	def filename(self):

		return "." if self.asterisk else self.filenames[self.k]

import os

import sys

import re

import random

import numpy as np

import cv2 as cv

sys.path.append("..")

sys.path.append("../../src")

from geometry import Line

from kerokero.transformation_matrices import getIdentity,getRotation,getTranslation,getScale,getMirroring,getProjection

random.seed(361)

class Sample:

	SIDE=224

	def __init__(self,img,grid):

		""":param img: a greyscale image as a 2D np.uint8

		:param grid: iterable of 4 EPoints, ie. Corners"""

		return np.matmul(scale,t2)

	def show(self):

		img=cv.cvtColor(self.img,cv.COLOR_GRAY2BGR)

		for c in self.grid:

			cv.circle(img,(int(c.x),int(c.y)),3,[0,255,0],-1)

		show(img)

def traverseDirs(root):

	stack=[root]

	while len(stack)>0:

		d=stack.pop()

		contents=sorted(os.scandir(d),key=lambda f: f.name,reverse=True)

		if any(f.name=="annotations.json.gz" for f in contents):

			yield d

		for f in contents:

			if f.is_dir(): stack.append(f.path)

def harvestDir(path):

	annotations=DataFile(os.path.join(path,"annotations.json.gz"))

	imgFilter=lambda f: f.is_file() and re.match(r".*\.(jpg|jpeg|png|gif)$", f.name.lower())

	files=sorted(filter(imgFilter,os.scandir(path)),key=lambda f: f.name)

	boards=annotations["."]

	for f in files:

		img=cv.imread(f.path)

		img=cv.cvtColor(img,cv.COLOR_BGR2GRAY)

		for b in boards:

			sample=Sample(img,b.grid)

			# sample.show()

			(transformedImg,label)=sample.transform()

	images=[]

	labels=[]

	for d in traverseDirs(root):

		for (img,label) in harvestDir(d):

			images.append(img)

			labels.append(label)

	n=len(images)

	keys=list(range(n))

	random.shuffle(keys)

	images=[images[k] for k in keys]

	labels=[labels[k] for k in keys]

	m=int(n*trainRatio)