import rasterio
import numpy
from xml.dom import minidom
from socket import *
from oct2py import octave
from io import BytesIO
import base64
from google.cloud import storage
from oauth2client.service_account import ServiceAccountCredentials
import os
import firebase_admin
from firebase_admin import credentials
from firebase_admin import db
from PIL import Image, ImageFilter
from send_notification import send_notification
from sendemail import sendemail
from sen_start_noti import sen_start_noti
from send_sar_email import send_sar_email
import json
import scipy
import random
import time
import datetime
from merge_sar import merge_sar
from find_sar import find_sar
from merge_dem import merge_dem
from find_dem import find_dem
from scipy import ndimage
from make_bigquery import make_bigquery
from send_moni_noti import send_moni_noti
from send_error_noti import send_error_noti
from gmap_image import gmap_image
from gmap_image_large import gmap_image_large
from datetime import date
from find_img import find_img
from find_img_large import find_img_large
from merge_img import merge_img
from all_proc import all_proc
from contour_images import contour_images
from send_expiring_noti import send_expiring_noti
from send_expired_noti import send_expired_noti
from make_trial_bigquery import make_trial_bigquery
from gen_geotiff import gen_geotiff
from sendgeotifs import sendgeotifs
from gen_report import gen_report
from get_weather_data import get_weather_data
from sendonlyreport import sendonlyreport
from gen_failed_report import gen_failed_report
from sendfailedreport import sendfailedreport
#from search_sentinel import search_sentinel
from map_coords import map_coords
from search_new_sentinel import search_new_sentinel
from convert_to_pdf import convert_to_pdf
from latlon_jp2_to_pixel import latlon_jp2_to_pixel
from gen_geotiff2 import gen_geotiff2
from search_sentinel_again import search_sentinel_again
from get_prev_date import get_prev_date
from make_bigquery_again import make_bigquery_again
import requests
import pdftotree
from convert_to_html import convert_to_html
from map_planet_coords import map_planet_coords
from latlon_tif_to_pixel import latlon_tif_to_pixel
import cv2 as cv
from merge_planet_img import merge_planet_img
import csv
import math

import urllib.parse
import urllib.request
from io import StringIO
from PIL import Image
from math import log, exp, tan, atan, pi, ceil
from latlontopixels import latlontopixels
from pixelstolatlon import pixelstolatlon
import io
import math
import os
from getmapstaticcoords import getmapstaticcoords
from get_highres_img import get_highres_img
from find_palms import find_palms
from find_palms2 import find_palms2
from find_palms3 import find_palms3
import xlrd
import time
uid = 'gavl'

                    
polygon_points = polygon_data["Coordinates"]
coordinates = polygon_points
polygon_max_lat = -180
polygon_min_lat = 180
polygon_max_long = -180
polygon_min_long = 180
for(pointKey, pointData) in polygon_points.items():
        print('Point data')
        print(pointKey)
        print(pointData)
        pointLat = pointData["Latitude"]
        pointLong = pointData["Longitude"]
        if pointLat > polygon_max_lat:
                polygon_max_lat = pointLat
        if pointLat < polygon_min_lat:
                polygon_min_lat = pointLat
        if pointLong > polygon_max_long:
                polygon_max_long = pointLong
        if pointLong < polygon_min_long:
                polygon_min_long = pointLong
fieldminlat = polygon_min_lat
fieldmaxlat = polygon_max_lat
fieldminlong = polygon_min_long
fieldmaxlong = polygon_max_long
print(polygon_id)
templateName = get_highres_img(uid,polygon_id,fieldmaxlat,fieldminlat, fieldmaxlong, fieldminlong)
new_string_json = {}
new_string_json["StartPixelLat"] = fieldminlat
new_string_json["EndPixelLat"] = fieldmaxlat
new_string_json["StartPixelLong"] = fieldminlong
new_string_json["EndPixelLong"] = fieldmaxlong
fieldid = polygon_id
new_string_json["UID"] = uid
new_string_json["FieldID"] = polygon_id
i = i+1
try:
        ndvi_value,bsi_value,si_value,vari_value,avi_value,savi_value,evi_value = map_planet_coords(uid,fieldid,coordinates,fieldmaxlat,fieldminlat,fieldmaxlong,fieldminlong)
        n_trees = find_palms3(uid,fieldid, templateName)
        #time.sleep(10)
        avg_per_ha = 143
        #avg_per_ha = round(n_trees/(field_area/10000))
        row = [polygon_id, farmer_name, phone_number, field_area, n_trees, avg_per_ha]
        writer.writerow(row)
        org = (0,20)
        font =cv.FONT_HERSHEY_SIMPLEX
        fontScale = 0.25
        color = (255,0,0)
        thickness = 1
        fileName = polygon_id + '_highres_side_by_side.png'
        destination = uid+'/'+fileName
        img = cv.imread(destination)
        text = 'Trees: ' + str(row[4]) + ', ' + 'Area: ' + str(row[3]) + ', ' + 'Avg. Per. Ha.: ' + str(row[5])
        cv.putText(img,text,org,font,fontScale,color,thickness,cv.LINE_AA)
        cv.imwrite(destination,img)
except:
        print('finding error..')