from tempfile import tempdir
import firebase_admin
from firebase_admin import credentials
from firebase_admin import db
from find_s1_image2 import find_img_value
import pandas as pd
import statsmodels.api as sm
import seaborn as sns
sns.set()
import csv
import time
import traceback
import json
import numpy as np
from sklearn.cluster import KMeans
from find_study_area_values import find_study_area_values
from make_area_estimate_image import make_area_estimate_image
import json
import xlsxwriter
import datetime
from sentinelhub import WebFeatureService, BBox, CRS, DataSource, MimeType, CRS, BBox, WmsRequest,DataCollection
cred = credentials.Certificate('servicekey.json')
x = 0.0003
y = 0.0003
fromdate = '20220701'
todate = '20220715'

s1_images = ['IW-VH-DB']
s2_images = []
# s1_images = ["B02", "B03", "B04", "B05"]
#s2_images = ["RVI-NEW"]
try:
    firebase_admin.initialize_app(cred, {'databaseURL': 'https://farmbase-b2f7e-31c0c.firebaseio.com/'})
except:
    print('fire running')

workbook = xlsxwriter.Workbook('bhumitantra.xlsx')
worksheet = workbook.add_worksheet()
uids = ['AvlbNpsuI7P1sva1NWMBUN4Fmbg1','2Gpn5tspykcKPt0tQqkQrpT52Ji2', 'DgwGhWlZKndMe33MlmSnt2Vp0PD2', 'JNH5nfMdqDOQGrTOM0wrVysxgH92']
main_arr = []
row = 1
main_arr.append(['Name & Phone Number', 'Coordinates'])
uids = ['fSRlyKzCxxMJHJqDzpGhQImyyxf2','rF4qo7DGoxd3AeEC1Ux4vBGbsbl1']
all_farmers = []

for uid in uids:
    all_fields = db.reference('PaidMonitoredFields').child('PMF').child(uid).get()
    try:
        for (fieldid, fieldobj) in all_fields.items():
            field_address = fieldobj["FieldAddress"]
            print(split_address)
            split_address = field_address.split(",","")
            all_farmers.append([split_address[0],split_address[1]])
            # sensed_days = db.reference('PaidMonitoredFields').child('PMF').child(uid).child(fieldid).child('SensedDays').get()
            # new_sensed_days = {}
            # len_days = 0
            # for (p,q) in sensed_days.items():
            #     len_days = len_days+1
            # temp_len = 0
            # for (x,y) in sensed_days.items():
            #     if temp_len < len_days - 1:
            #         new_sensed_days[x] = y
            #         temp_len = temp_len+1
            # print([sensed_days, new_sensed_days])
            #db.reference('PaidMonitoredFields').child('PMF').child(uid).child(fieldid).child('SensedDays').set(new_sensed_days)
            #db.reference('PaidMonitoredFields').child('PMF').child(uid).child(fieldid).child('Language').set('hi,en')
            time.sleep(0.1)
            # pointsObj = fieldobj["Coordinates"]
            # midlat, midlng, pointNum = 0,0,0
            # for (point_key, point_obj) in pointsObj.items():
            #     lat = point_obj["Latitude"]
            #     lng = point_obj["Longitude"]
            #     midlat = midlat + lat
            #     midlng = midlng + lng
            #     pointNum = pointNum + 1
            # midlat = midlat/pointNum
            # midlng = midlng/pointNum
            # field_address = fieldobj["FieldAddress"]
            # worksheet.write(row, 0, field_address)
            # worksheet.write(row, 1, (str(midlat) + ', ' + str(midlng)))
            # worksheet.write(row, 2, fieldid)
            # main_arr.append([field_address, (str(midlat) + ', ' + str(midlng))])
            # row = row + 1
    except:
        print(traceback.format_exc())

with open('itc_list', 'w') as f:
      
    # using csv.writer method from CSV package
    write = csv.writer(f)
      
    write.writerow(['Name', 'Phone Number'])
    write.writerows(all_farmers)