def find_img_value(fieldid, satellite, imageType,bounds, from_date, to_date,CLIENT_ID,CLIENT_SECRET,INSTANCE_ID, max_num, max_dim, day_gap):
	from sentinelhub import WebFeatureService, BBox, CRS, MimeType, CRS, BBox, WmsRequest,DataCollection
	from sentinelhub import SHConfig
	from firebase_admin import credentials
	from firebase_admin import db
	from statistics import mean
	from PIL import Image, ImageFilter
	import os.path
	import PIL
	import numpy as np
	import time
	import traceback

	#from scipy import ndimag
	config = SHConfig()
	print(imageType)
	img_values_arr = []
	cred = credentials.Certificate('servicekey2.json')
	access_key = 'AKIAIPCM5ZR7FRHMY3MA'
	secret_key = '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'
	if CLIENT_ID and CLIENT_SECRET:
		config.sh_client_id = CLIENT_ID
		config.sh_client_secret = CLIENT_SECRET
		config.instance_id = INSTANCE_ID
	#img_width = 30
	search_bbox = BBox(bbox=bounds, crs=CRS.WGS84)
	search_time_interval = (from_date, to_date)
	avg_im = 0
	i = 0
	i_num =0
	prev_date = '90101010'
	iterator_wms = WebFeatureService(search_bbox,search_time_interval,data_collection=satellite,maxcc=1.0,config=config)
	for tile_info in iterator_wms:
		if i_num %day_gap == 0:
			print(tile_info["properties"]["date"])
			try:
				s1_request = WmsRequest(data_collection=satellite,layer=imageType,bbox=search_bbox,time=tile_info["properties"]["date"],width=max_dim,image_format=MimeType.TIFF,config=config)
				s1_data = s1_request.get_data()
			except:
				s1_request = WmsRequest(data_collection=satellite,layer=imageType,bbox=search_bbox,time=tile_info["properties"]["date"],height=max_dim,image_format=MimeType.TIFF,config=config)
				s1_data = s1_request.get_data()
			im = s1_data[-1]
			
			z_num = 0
			#time.sleep(900000)
			for p in im:
				for q in p:
					if q == 0:
						z_num = z_num + 1 
			w,h = len(im[0]), len(im)
			new_date = tile_info["properties"]["date"]
			prev_day = prev_date.replace("-","")
			new_day = new_date.replace("-","")
			#print([prev_day, new_day])
			multiplier = 1
			if fieldid == 'study':
				multiplier = 1
			if z_num <= int(multiplier*w*h):
				if int(prev_day) - int(new_day)>1:
					#print(new_day)
					prev_date = new_date
					pixel_values = []
					z_num = 0
					for p in range(0,h-1):
						for q in range(0,w-1):
							pixel_value = im[p,q]
							pixel_values.append(pixel_value)
					avg_im = round(100*np.mean(pixel_values))/100

					img_values_arr.append(avg_im)
					i = i+1
		i_num = i_num + 1		
	
		adda = 1
		#print(avg_im)
	time.sleep(0.25)
	#print('im')
	#print(img_values_arr)
	# try:
	# 	min_p, max_p = min(img_values_arr), max(img_values_arr)
	# 	for pixel_val in img_values_arr:
	# 		if max_p > 0 and min_p ==0:
	# 			if pixel_val == 0:
	# 				if len(img_values_arr)>max_num:
	# 					try:
	# 						img_values_arr = img_values_arr.tolist()
	# 						img_values_arr.remove(pixel_val)
	# 						img_values_arr = np.ndarray(img_values_arr)
	# 					except Exception as e:
	# 						print(e)
	# except Exception as e:
	# 	print(e)

	if len(img_values_arr) > max_num:
		img_values_arr = img_values_arr[0:max_num]
	#print(img_values_arr)
	if len(img_values_arr) < max_num:
		print(img_values_arr)
		return None
	else:
		if fieldid == 'study':
			return pixel_values
		else:
			return img_values_arr