# coding=utf-8
#author:        4N
#createtime:    2021/7/15
#email:         nheweijun@sina.com

from osgeo import gdal


from osgeo import gdal, gdalconst
from osgeo import ogr
import math
import requests
def tms(ytile, zoom):
    n = 2.0 ** zoom
    ytile = n - ytile - 1
    return int(ytile)
import numpy
import cv2
from osgeo import gdal,osr
from osgeo.gdal import *

# Math functions taken from https://wiki.openstreetmap.org/wiki/Slippy_map_tilenames #spellok
def deg2num(lat_deg, lon_deg, zoom):
    lat_rad = math.radians(lat_deg)
    n = 2.0 ** zoom
    xtile = int((lon_deg + 180.0) / 360.0 * n)
    ytile = int((1.0 - math.log(math.tan(lat_rad) + (1 / math.cos(lat_rad))) / math.pi) / 2.0 * n)
    return (xtile, ytile)

def num2deg(xtile, ytile, zoom):
    n = 2.0 ** zoom
    lon_deg = xtile / n * 360.0 - 180.0
    lat_rad = math.atan(math.sinh(math.pi * (1 - 2 * ytile / n)))
    lat_deg = math.degrees(lat_rad)
    return (lat_deg, lon_deg)

def create_image(cls,image_type, pixel_array, quality):

    if image_type.__eq__("image/jpeg") or image_type.__eq__("image/jpg"):
        r, buf = cv2.imencode(".jpg", pixel_array, [cv2.IMWRITE_JPEG_QUALITY, quality])
        image_out = buf.tobytes()
    else:
        height, width = pixel_array[:, :, 0].shape
        four = numpy.zeros((height,width), dtype=int) + 255
        four[pixel_array[:, :, 0] == 65536] = 0
        r, buf = cv2.imencode(".png", numpy.dstack((pixel_array, four)))
        image_out = buf.tobytes()
    return image_out

if __name__ == '__main__':




    lev = 8
    extent = [107.78981494180618, 120.43553603935675, 18.870480519260582, 25.999868757737033]
    url = "http://172.26.99.160:6060/DMap/Services/GDMap/TileServer/TMSService"



    if extent[3] - extent[2] > extent[1] - extent[0]:
        offset = ((extent[3] - extent[2]) - (extent[1] - extent[0])) / 2.0
        out_extent = [extent[0]- offset, extent[1]+offset , extent[2], extent[3] ]
    else:
        offset = ((extent[1] - extent[0]) - (extent[3] - extent[2])) / 2.0
        out_extent = [extent[0] , extent[1], extent[2] - offset, extent[3] + offset]
        
    c1,r1 = deg2num(18.870480519260582,107.78981494180618,lev)
    c2,r2 = deg2num(25.999868757737033, 120.43553603935675, lev)

    print(r1 - r2)
    print(c2 - c1)

    lat1, lon1 = num2deg(c1, r1, lev)
    lat2, lon2 = num2deg(c1+1, r1+1, lev)
    print( [lon1, lat2, lon2, lat1])

    lat3, lon3 = num2deg(c2, r2, lev)
    lat4, lon4 = num2deg(c2+1, r2+1, lev)
    print( [lon3, lat4, lon4, lat3])

    dat = numpy.zeros(((r1 - r2+1)*256, (c2 - c1+1)*256, 3), dtype=int) + 256


    offx = (extent[0]-lon1)/((lon4-lon1)/((c2 - c1+1)*256))

    xnum = (extent[1]-extent[0])/((lon4-lon1)/((c2 - c1+1)*256))

    print(offx)
    print(xnum)

    offy = (lat3 - extent[3])/((lat3-lat2)/((r1 - r2+1)*256))
    ynum = (extent[3]-extent[2])/((lat3-lat2)/((r1 - r2+1)*256))
    print(offy)
    print(ynum)


    for r in range(r2,r1+1):
        for c in range(c1,c2+1):
            url = "http://172.26.99.160:6060/DMap/Services/GDMap/TileServer/TMSService/{}/{}/{}.png".format(lev,c,r)
            dataset:Dataset = gdal.Open(url, 0)
            for b in range(1,4):
                band:Band = dataset.GetRasterBand(b)
                zaa = (r - r2)*256
                zbb = (c - c1)*256
                zcc = (r - r2+1)*256
                zdd = (c - c1+1)*256

                dat[(r - r2)*256:(r - r2+1)*256,(c - c1)*256 : (c - c1+1)*256, 2-(b-1)]  = band.ReadAsArray(0,0,256,256)


    dat2 = dat[int(offy):int(offy+ynum),int(offx):int(offx+xnum),:]

    cv2.imwrite("t.jpg", dat, [cv2.IMWRITE_JPEG_QUALITY, 30])
    cv2.imwrite("t2.jpg", dat2, [cv2.IMWRITE_JPEG_QUALITY, 30])