def map_coords(uid,fieldid,coordinates,imagedate,fieldmaxlat,fieldminlat,fieldmaxlong,fieldminlong,crop_type, images_array, main_field_area):
	import math
	import matplotlib.path
	from matplotlib.path import Path
	import numpy as np
	import cv2
	from PIL import Image
	from merge_contour_images import merge_contour_images
	from oct2py import octave
	import collections
	import traceback
	import firebase_admin
	from firebase_admin import credentials
	from firebase_admin import db
	from create_index_piechart import create_index_piechart
	from create_soc_piechart import create_soc_piechart
	from merge_mask_img import merge_mask_img
	from estimate_yield import estimate_yield
       # from firebase_admin import messaging
	cred = credentials.Certificate('servicekey.json')
	#firebase_admin.initialize_app(cred, {'databaseURL': 'https://farmbase-b2f7e-31c0c.firebaseio.com/'})
	#fieldmaxlat = db.reference('PaidMonitoredFields').child('PMF').child(uid).child(fieldid).child('FieldMaxLat').get()
	#fieldminlat = db.reference('PaidMonitoredFields').child('PMF').child(uid).child(fieldid).child('FieldMinLat').get()
	#fieldmaxlong = db.reference('PaidMonitoredFields').child('PMF').child(uid).child(fieldid).child('FieldMaxLong').get()
	#fieldminlong = db.reference('PaidMonitoredFields').child('PMF').child(uid).child(fieldid).child('FieldMinLong').get()
	#coordinates  = db.reference('PaidMonitoredFields').child('PMF').child(uid).child(fieldid).child('Coordinates').get()
	coordinates = collections.OrderedDict(sorted(coordinates.items()))
	# wes1 = 1#print(coordinates)
	
	tci_file_name = uid+'/' + fieldid+'/TCI.png'
	tci = cv2.imread(tci_file_name,0)
	w_tci,h_tci = tci.shape
	centerx = round(w_tci/2)
	centery = round(h_tci/2)
	
	zero_lat = fieldmaxlat
	zero_long = fieldminlong
	wes1 = 1#print('coords')
	X = []
	Y = []
	pixelsperlat = h_tci/abs(float(fieldmaxlong)-float(fieldminlong))
	pixelsperlong = w_tci/abs(float(fieldmaxlat)-float(fieldminlat))
	pformatflag =0
	for k,v in coordinates.items():
		if k.find("P_")>=0:
			pformatflag = 1
			break
		temp_lat = v['Latitude']
		temp_long = v['Longitude']
		temp_lat = float(temp_lat)
		temp_long = float(temp_long)
		x = round((temp_long-zero_long)*pixelsperlat)
		y = round((zero_lat-temp_lat)*pixelsperlong)
		# wes1 = 1#print(x)
		# wes1 = 1#print(y)lin
		X.append(x)
		Y.append(y)
	
	if pformatflag == 1:
		X = []
		Y = []
		ploc = 1
		for k,v in coordinates.items():
			pointKey = "P_" + str(ploc)
			ploc = ploc + 1
			try:
				v = coordinates[pointKey]
				temp_lat = v['Latitude']
				temp_long = v['Longitude']
				temp_lat = float(temp_lat)
				temp_long = float(temp_long)
				x = round((temp_long-zero_long)*pixelsperlat)
				y = round((zero_lat-temp_lat)*pixelsperlong)
				# wes1 = 1#print(x)
				# wes1 = 1#print(y)
				X.append(x)
				Y.append(y)
			except:
				v = coordinates["a"]
				temp_lat = v['Latitude']
				temp_long = v['Longitude']
				temp_lat = float(temp_lat)
				temp_long = float(temp_long)
				x = round((temp_long-zero_long)*pixelsperlat)
				y = round((zero_lat-temp_lat)*pixelsperlong)
				# wes1 = 1#print(x)
				# wes1 = 1#print(y)
				X.append(x)
				Y.append(y)
	poly_m = octave.create_polymask(uid,fieldid,w_tci,h_tci,X,Y)
	indexValues = []
	yieldIndex = []
	for i in range(4):
		yieldIndex.append(i)
	wes1 = 1#print('images_array')
	wes1 = 1#print(images_array)
	for imageName in images_array:
		wes1 = 1#print(['imagename', imageName, imagedate, main_field_area])
		try:
			if imageName == "soc":
				c2 = octave.calc_soc_indices(uid,fieldid,imageName, main_field_area)
				index_value,field_area =create_soc_piechart(uid,fieldid,imageName)
			else:
				c2 = octave.calc_indices2(uid,fieldid,imageName, main_field_area)
				index_value,field_area =create_index_piechart(uid,fieldid,imageName, imagedate)
			
			db.reference('PaidMonitoredFields').child('PMF').child(uid).child(fieldid).child('Health').child(imageName).child(imagedate).set(str(index_value))
			wes1 = 1#print((imageName + " is done"))
			indexValues.append(index_value)
		except:
			wes1 = 1#print(traceback.format_exc())
		
		try:
			if imageName == 'ndvi':
				yieldIndex[0] = index_value
			if imageName == 'evi':
				yieldIndex[1] = index_value
			if imageName == 'savi':
				yieldIndex[2] = index_value
			if imageName == 'ndre':
				yieldIndex[3] = index_value
		except:
			wes1 = 1#print(traceback.format_exc())
			aawq = 1
		if imageName == 'tci':
			imageName == 'TCI'
		elif imageName == 'etci':
			imageName = 'ETCI'
		merge_mask_img(uid,imageName, fieldid)
	#wes1 = 1#print(yieldIndex)
	try:
		yield_est = estimate_yield(yieldIndex[0],yieldIndex[1],yieldIndex[2],yieldIndex[3],crop_type,field_area)
	except:
		yield_est = -1
	#rvi_v,field_area =create_index_piechart(uid,fieldid,'rvi')
	try:
		field_area = int(field_area)
	except:
		field_area = 0
	#db.reference('PaidMonitoredFields').child('PMF').child(uid).child(fieldid).child('FieldArea').set(field_area)
	
	if yield_est > -1:
		db.reference('PaidMonitoredFields').child('PMF').child(uid).child(fieldid).child('Yield').child(imagedate).set(str(yield_est))
	#db.reference('PaidMonitoredFields').child('PMF').child(uid).child(fieldid).child('Health').child('rvi').child(imagedate).set(str(rvi_v))
	return field_area