from dataclasses import field
from tempfile import tempdir
import firebase_admin
from firebase_admin import credentials
from firebase_admin import db
from find_s1_image import find_img_value
import pandas as pd
import statsmodels.api as sm
import seaborn as sns
sns.set()
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
#from sentinelhub import WebFeatureService, BBox, CRS, DataSource, MimeType, CRS, BBox, WmsRequest,DataCollection
cred = credentials.Certificate('servicekey.json')
x = 0.0002
y = 0.0002
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')
study_uid = "vPM6EKWHfHRxmRfc0YJ7PZ8J9tR2"
gt_uid = ['u5ZgAskSltX7dQdNFUlHsgVhAlf2', 'b2j92LjidjeGt2b60QHhSj4GeS63','0AC0f8JWjUdg9fCm7f8QbXZTOp23']
different_gt_uid = 'hxA3VYEFpaOluurIbHxdzd4gPlw1'
study_field_id = '1662365839021'
gt_uid = ['D4xU2QGhooXfK6qiEeHdAlp0wk53']
gt_fields = {}
for temp_id in gt_uid:
    temp_gt_fields = db.reference('PaidMonitoredFields').child('PMF').child(temp_id).get()
    for(p,q) in temp_gt_fields.items():
        gt_fields[p] = q

json_obj = {}
json_obj["type"] = "FeatureCollection"
json_obj["features"] = []
for (fieldid, fieldobj) in gt_fields.items():
    pointsObj = fieldobj["Coordinates"]
    single_geometry_obj = {}
    single_geometry_obj["type"] = "Feature"
    single_geometry_obj["geometry"] = {}
    single_geometry_obj["properties"] = {'FieldID': fieldid,
    'Area1': fieldobj["FieldArea"]}
    single_geometry_obj["geometry"]["type"] = "Polygon"
    singleFieldPointsArr = []
    p_num = 0
    for (pointkey, pointobj) in pointsObj.items():
        if p_num == 0:
            pointArr = [float(pointsObj["a"]["Longitude"]), float(pointsObj["a"]["Latitude"])]
        else:
            pointArr = [float(pointsObj[("P_"+ str(p_num))]["Longitude"]), float(pointsObj[("P_"+ str(p_num))]["Latitude"])]
        p_num = p_num +1
        singleFieldPointsArr.append(pointArr)
    singleFieldPointsArr.append([float(pointsObj["a"]["Longitude"]), float(pointsObj["a"]["Latitude"])])
    single_geometry_obj["geometry"]["coordinates"] = [singleFieldPointsArr]
    json_obj["features"].append(single_geometry_obj)

print(json_obj)
json_object = json.dumps(json_obj, indent=4)
 
# Writing to sample.json
with open("trst_json_obj.json", "w") as outfile:
  outfile.write(json_object)