def search_new_sentinel(uid,fieldid,latestsensedday,latestfailedday):
	
	from sentinelhub import WebFeatureService, BBox, CRS, DataSource, MimeType, CRS, BBox, WmsRequest, DataCollection
	from sentinelhub import get_area_info
	from sentinelhub import AwsTile
	from sentinelhub import SHConfig
	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
	import PIL
	from send_notification import send_notification
	from sendemail import sendemail
	from sen_start_noti import sen_start_noti
	import json
	import scipy
	from scipy import ndimage
	from google.cloud import bigquery
	import datetime
	import time
	from sentinelhub import AwsTileRequest
	import numpy as np
	aa = 1
	cred = credentials.Certificate('servicekey2.json')

	client = bigquery.Client().from_service_account_json('servicekey2.json')

	map_fields = db.reference('PaidMonitoredFields').child('PMF').child(uid).child(fieldid).get()
	#print(map_fields)
	#time.sleep(4)
	field_latitude = map_fields["Coordinates"]["a"]["Latitude"]
	field_longitude = map_fields["Coordinates"]["a"]["Longitude"]
	field_max_lat = map_fields["FieldMaxLat"]
	field_min_lat = map_fields["FieldMinLat"]
	field_max_long = map_fields["FieldMaxLong"]
	field_min_long = map_fields["FieldMinLong"]
	field_area = map_fields["FieldArea"]
	if field_max_lat < field_min_lat:
		temp = field_max_lat
		field_max_lat = field_min_lat
		field_min_lat = temp

	if field_max_long < field_min_long:
		temp = field_max_long
		field_max_long = field_min_long
		field_min_long = temp


        # Initialize the app with a service account, granting admin privileges 
	#firebase_admin.initialize_app(cred, {'databaseURL': 'https://farmbase-b2f7e-31c0c.firebaseio.com/'})
	min_lat = field_min_lat
	max_lat = field_max_lat
	min_long = field_min_long
	max_long = field_max_long
	access_key = 'AKIAIPCM5ZR7FRHMY3MA'
	secret_key = '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'
#	access_key = 'AKIAQZCF7Q5CIN2VIHVL'
#	secret_key = '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'
	#INSTANCE_ID = '954b8f5e-d44e-4f2e-ab87-2e317246fa02'
	INSTANCE_ID = 'f8482e6b-a91f-47df-ac17-fda8a7c0a9c0'
	config = SHConfig()
	CLIENT_ID = 'f2d6f727-50da-4639-b8f4-b0982d1c4d13'
	CLIENT_SECRET = '_<_BU3>(f>-|7Se2puu0QH^;oJa]kD.>&vP**yFW'
#	CLIENT_ID = 'ebd1003f-b189-4f4e-9e29-5e56fe0fc343'
#	CLIENT_SECRET = 'A[W3>BVZk-RNcYko1N9%[da$F*(ahDv)0(|irX8&'
	if CLIENT_ID and CLIENT_SECRET:
		config.sh_client_id = CLIENT_ID
		config.sh_client_secret = CLIENT_SECRET
		config.instance_id = INSTANCE_ID
#	if INSTANCE_ID:
#		config = SHConfig()
#		config.instance_id = INSTANCE_ID
#	else:
#		config = None
#	INSTANCE_ID = 'e16a1fed-63e3-4de9-8365-117635a744ca'
	INSTANCE_ID = 'e2e8adb2-a193-4774-af3a-062f53fdba15'  # In case you put instance ID into cofniguration file you can leave this unchanged
	search_bbox = BBox(bbox=[min_long,min_lat,max_long,max_lat], crs=CRS.WGS84)
	#search_bbox = BBox(bbox=[32.64358939614938,35.23309160023928,32.65433485229119,35.2399842068553], crs=CRS.WGS84)
	x = datetime.datetime.now()
	current_month = x.month
	current_year = x.year
	current_date = x.day
	current_date = current_date
	current_date = current_date
	if current_date < 5 and current_month>1:
		if latestsensedday == 0:
			start_date = 31-current_date - 5
		else:
			start_date = 31-current_date - 4
		start_month = current_month-1
		start_year = current_year
	elif current_date <5 and current_month ==1:
		if latestsensedday == 0:
			start_date = 31-current_date - 5
		else:
			start_date = 31-current_date - 4
		start_month = 12
		start_year = start_year-1
	else:
		if latestsensedday == 0:
			start_date = current_date-5
		else:
			start_date = current_date-4
		start_month = current_month
		start_year = current_year
	if start_date == 0:
		start_date = 1
	if current_date == 0:
		current_date = 1
	if current_month < 10:
		current_month = "0"+str(current_month)
	else:
		current_month = str(current_month)
	if start_month < 10:
		start_month = "0"+str(start_month)
	else:
		start_month = str(start_month)
	if current_date < 10:
		current_date = "0"+str(current_date)
	else:
		current_date = str(current_date)
	if start_date < 10:
		start_date = "0"+str(start_date)
	else:
		start_date = str(start_date)
	start_year = str(start_year)
	from_date = start_year+'-'+start_month+'-'+str(start_date)
	to_date = str(current_year)+'-'+current_month+'-'+str(current_date)
	l_date = str(current_year)+current_month+str(current_date)
	from_date = from_date+'T00:00:00'
	to_date = to_date+'T23:59:59'
#	from_date = '2020-10-21T00:00:00'
#	to_date = '2020-10-25T23:59:59'
#	from_date = '2020-10-05T00:00:00'
#	to_date = '2020-07-07T23:59:59'
	img_width = abs(round((max_lat-min_lat)*111*1000/10))
	print('im_w')
	print(img_width)
	print(from_date)
	print(to_date)
	search_time_interval = (from_date, to_date)
	print(search_time_interval)
	tile_num = 0
	wfs_iterator = WebFeatureService(search_bbox,search_time_interval,maxcc=1.0)
	#for tile_info in get_area_info(search_bbox, search_time_interval,maxcc=0.5):
	sat_tiles = wfs_iterator.get_tiles()
	print('tiles')
	print(sat_tiles)
	for tile_info in wfs_iterator:
		print(tile_info)
		temp_tile = tile_info
		geom = temp_tile["geometry"]
		coords = geom["coordinates"]
		new_coords = coords[0][0]
		coord_num = 0
		print('coo')
		print(new_coords)
		coord_len = len(new_coords)
		print(coord_len)
		coord_iter = 0
		west_lons = []
		east_lons = []
		north_lats = []
		south_lats = []
		all_lons = []
		for kk in new_coords:
			latlng = new_coords[coord_iter]
			longitude = latlng[0]
			all_lons.append(longitude)
			if coord_iter<2:
				
				longitude = latlng[0]
				west_lons.append(longitude)
				
			elif coord_iter>1 and coord_iter<4:
				longitude = latlng[0]
				east_lons.append(longitude)
			if coord_iter ==0 or coord_iter==3:
				latitude = latlng[1]
				north_lats.append(latitude)
			elif coord_iter ==1 or coord_iter==2:
				latitude = latlng[1]
				south_lats.append(latitude)
			coord_iter = coord_iter+1
		all_lons.sort()
		all_lons = np.unique(all_lons)
		print('all_lons')
		print(all_lons)
		west_lons = []
		east_lons = []
		west_lons.append(all_lons[0])
		west_lons.append(all_lons[1])
		east_lons.append(all_lons[(len(all_lons)-2)])
		east_lons.append(all_lons[(len(all_lons)-1)])
		
		print(west_lons)
		print(east_lons)
		print(north_lats)
		print(south_lats)
		west_lon = min(west_lons)
		east_lon = max(east_lons)
		min_east_lon = min(east_lons)
		north_lat = max(north_lats)
		south_lat = min(south_lats)
		if min_east_lon>max_long:
			tile_id = tile_info["properties"]["id"]
			temp_map_obj = {}
			A = new_coords[0]
			A_lat = A[1]
			A_long = A[0]
			B = new_coords[1]
			B_lat = B[1]
			B_long = B[0]
			C = new_coords[2]
			C_lat = C[1]
			C_long = C[0]
			D = new_coords[3]
			D_lat = D[1]
			D_long = D[0]
			temp_map_obj["A_lat"] = A_lat
			temp_map_obj["A_long"] = A_long
			temp_map_obj["B_lat"] = B_lat
			temp_map_obj["B_long"] = B_long
			temp_map_obj["C_lat"] =C_lat
			temp_map_obj["C_long"]=C_long
			temp_map_obj["D_lat"] = D_lat
			temp_map_obj["D_long"]=D_long
			temp_map_obj["TileMaxLat"]=north_lat
			temp_map_obj["TileMinLat"]=south_lat
			temp_map_obj["TileMaxLong"]=west_lon
			temp_map_obj["TileMinLong"]=east_lon
			temp_map_obj["FieldMaxLat"]=field_max_lat
			temp_map_obj["FieldMinLat"]=field_min_lat
			temp_map_obj["FieldMaxLong"]=field_max_long
			temp_map_obj["FieldMinLong"]=field_min_long
			temp_map_obj["FieldArea"]=field_area
			temp_map_obj["UID"]=uid
			
			temp_map_obj["cloud_cover"]=tile_info["properties"]["cloudCoverPercentage"]

		#coord_iter = coord_iter+1
			print('tileID')
			print(tile_id)
				
			#tile_id = tile_info["title"]
			#tile_name, time, aws_index = AwsTile.tile_id_to_tile(tile_id)
			tile_name, time, aws_index = sat_tiles[0]
			temp_map_obj["MGRS"]=tile_name
			new_time = time
			time = time.replace("-","")
			latest_date = tile_info["properties"]["date"]
			latest_date = latest_date[0:10]
			latest_date = latest_date.replace("-","")
			temp_map_obj["LatestDay"]=latest_date
			bands=['B02','B03','B04','B05','B08','B12']
			metafiles = ['tileInfo', 'preview', 'qi/MSK_CLOUDS_B00','TCI']
			data_folder = './AwsData'
			ar =0
			br = 0
			if ar == 0:
				if br ==0:
			#if int(latest_date)>int(latestsensedday):
			#	if int(latest_date) > int(latestfailedday):
					request = AwsTileRequest(tile=tile_name, time=new_time, aws_index=aws_index, bands=bands, metafiles=metafiles, data_folder=data_folder,data_source=DataSource.SENTINEL2_L1C)			
					request.save_data()
					s1_request = WmsRequest(data_collection=DataCollection.SENTINEL2_L1C,layer='EVAPOTRANSPIRATION',bbox=search_bbox,time='latest',width=img_width,config=config)
					s1_data = s1_request.get_data()
					file_name= uid+'/evapo.png';
					#cv2.imwrite(file_name,s1_data[0])					
					im = PIL.Image.fromarray(s1_data[-1],"RGB")
					im.save(file_name)
			return temp_map_obj
	temp_map_obj = {}
	temp_map_obj["TileMaxLat"]="NA"
	temp_map_obj["TileMinLat"]="NA"
	temp_map_obj["TileMaxLong"]="NA"
	temp_map_obj["TileMinLong"]="NA"
	temp_map_obj["FieldMaxLat"]=field_max_lat
	temp_map_obj["FieldMinLat"]=field_min_lat
	temp_map_obj["FieldMaxLong"]=field_max_long
	temp_map_obj["FieldMinLong"]=field_min_long
	temp_map_obj["FieldArea"]=field_area
	temp_map_obj["UID"]=uid
	temp_map_obj["LatestDay"]=l_date
	temp_map_obj["MGRS"]="NotA"
	temp_map_obj["cloud_cover"]="NA"
	return temp_map_obj