def find_img_value(fieldid, satellite, imageType,bounds, from_date, to_date,CLIENT_ID,CLIENT_SECRET,INSTANCE_ID, max_num, max_dim):
	from sentinelhub import WebFeatureService, BBox, CRS, DataSource, 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
	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:
		#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[1] == 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])
		if z_num < int(0.5*w*h) and imageType != "NDVI":
			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,0]
						pixel_values.append(pixel_value)
				avg_im = round(100*np.mean(pixel_values))/100

				img_values_arr.append(avg_im)
				i = i+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 i < max_num:
		print(i)
		return None
	else:
		return img_values_arr