import fiona
import requests
import utm
from geopy.geocoders import Nominatim
import time
import json
import pandas as pd
from fastkml import kml
import xlrd
from statistics import median
import math
import firebase_admin
from firebase_admin import credentials
from firebase_admin import db
from firebase_admin import messaging
import threading
import xlsxwriter
import numpy as np
import datetime
import os
from numba import jit, cuda
from firebase_admin import firestore
from make_on_the_go_farm_image import make_on_the_go_farm_image
from sentinelhub import WebFeatureService, BBox, CRS, DataSource, MimeType, CRS, BBox, WmsRequest,DataCollection
from get_polygon_mask import get_polygon_mask
import traceback
from google.cloud import storage
import os
from google.oauth2 import service_account
import datetime
from datetime import date
from make_uprooting_farm_image import make_uprooting_farm_image
from get_uprooting_json import get_uprooting_json
storage_client = storage.Client.from_service_account_json("servicekey.json"); 

bucket_name = 'farmbase-b2f7e.appspot.com'
cred = service_account.Credentials.from_service_account_file('servicekey.json')
#cred = credentials.Certificate('servicekey.json')
bucket = storage_client.bucket(bucket_name)
try:
    firebase_admin.initialize_app(credentials.Certificate('servicekey.json'), {'databaseURL': 'https://farmbase-b2f7e-31c0c.firebaseio.com/'})
except:
    print('fire running')
db_firestore = firestore.client()
sentinelSettings = db.reference('SentinelSettings').get()
clientID = sentinelSettings["ClientID"]
clientSecret = sentinelSettings["ClientSecret"]
wmsID = sentinelSettings["WMSID"]
rviID = sentinelSettings["RVIID"]
demID = sentinelSettings["DEMID"]

def get_time():
    import time
    obj = time.gmtime(0)
    epoch = time.asctime(obj)
    #print("The epoch is:",epoch)
    curr_time = round(time.time()*1000)
    return curr_time

def get_bounds(points_obj):
    lats, lngs = [], []
    for (key, value) in points_obj.items():
        lats.append(value["Latitude"])
        lngs.append(value["Longitude"])
    bounds = [min(lngs), min(lats), max(lngs), max(lats)]
    return bounds

def get_from_to_dates(imageDate, day_gap):
    current_month = int(imageDate[4:6])
    current_year = int(imageDate[0:4])
    current_date = int(imageDate[6:])
    latestsensedday = 0
    start_year = current_year
    if current_date < day_gap and current_month>1:
        if latestsensedday == 0:
	        start_date = abs(31-current_date - day_gap)
        else:
            start_date = abs(31-current_date -(day_gap - 1))
        start_month = current_month-1
        start_year = current_year
    elif current_date <day_gap and current_month ==1:
        if latestsensedday == 0:
            start_date = abs(31-current_date - day_gap)
        else:
            start_date = abs(31-current_date - (day_gap-1))
        start_month = 12
        start_year = start_year-1
    else:
        if latestsensedday == 0:
            start_date = current_date-day_gap
        else:
            start_date = current_date-(day_gap-1)
        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'
    
    return from_date, to_date

def make_url(blob):
    url = blob.generate_signed_url(
        version="v4",
        # This URL is valid for 15 minutes
        expiration=datetime.timedelta(minutes=10000),
        # Allow PUT requests using this URL.
        method="GET",
        credentials = cred
    )
    return url

# Create a callback on_snapshot function to capture changes
def isMatched(uprooting_json, land_id, farmer_code):
    num = 0
    for i in uprooting_json:
        #print(['a',i])
        temp_land_id = i["LandId"]
        temp_farmer_code = i["FarmerCode"]
        if str(temp_land_id) == str(land_id) and str(temp_farmer_code) == str(farmer_code):
            return num
        num = num+1
    num = None
    return num
try:
# for (timestamp, main_obj) in data_requests_obj:
    gavl_name = 'Downloads/gavl.json'
    with open(gavl_name) as f:
        gavl_json = json.load(f)
    gavl_farms = gavl_json["features"]

    # uprooting_name = 'Downloads/uprooting.json'
    # with open(uprooting_name) as f:
    #     uprooting_json = json.load(f)
    uprooting_json = get_uprooting_json()
    iter = 0
    for single_farm in gavl_farms:
        if iter < 30000:
            iter = iter + 1
            matched_num = None
            try:
                land_id = single_farm["properties"]["PhoneNumber"]
                farmer_code = single_farm["properties"]["Name"]
                fieldid = single_farm["properties"]["FieldID"]
                polygonid = single_farm["properties"]["PolygonID"]
                matched_num = isMatched(uprooting_json,land_id,farmer_code)
                if matched_num is not None:
                    start_time = get_time()
                    uid, imageType = 'TCXcp5VIsfhHZrh0nm2VsgBtcGy2', 'TCI'
                    points_obj = db.reference('PaidMonitoredFields').child('PMF').child(uid).child(fieldid).child('Polygons').child(polygonid).child('Coordinates').get()
                    day_gap = 5
                
                    satellite, INSTANCE_ID = DataCollection.SENTINEL2_L1C, wmsID               

                    c_map = 1
                    #from_date, to_date = get_from_to_dates(imageDate, day_gap)
                    age = uprooting_json[matched_num]["Age"]
                    if float(age) < 1.5:
                        from_date, to_date = '2022-01-01T00:00:00', '2023-01-18T23:59:59'
                    else:
                        from_date, to_date = '2021-01-01T00:00:00', '2023-01-18T23:59:59'
                    bounds = get_bounds(points_obj)
                    # if imageType == 'NDVI':
                    #     imageType = 'H-NDVI'
                    main_arr = make_uprooting_farm_image(c_map, uid, fieldid, polygonid,satellite, imageType,get_bounds(points_obj), from_date, to_date,clientID,clientSecret,INSTANCE_ID, points_obj)
                    #single_farm
                    uprooting_json[matched_num]["UprootingDates"] = main_arr
                    end_time = get_time()
                    time_elapsed = (end_time-start_time)/1000
                    print(('Time Taken: ' + str(time_elapsed)))
            except:
                print(traceback.format_exc())
    # Serializing json
    json_object = json.dumps(uprooting_json, indent=4)
    
    # Writing to sample.json
    with open("new_uprooting.json", "w") as outfile:
        outfile.write(json_object)
except:
    print(traceback.format_exc())
    # db_firestore.collection(u'PolygonDataRequests').document(temp_d.id).delete()
    # except Exception as e:
    #     print(traceback.format_exc())
    #time.sleep(10)