/
integrate.py
164 lines (146 loc) · 5.48 KB
/
integrate.py
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# request=requests.get('https://api.openaq.org/v1/measurements?city=Siliguri&limit=1')#
#(distance(cordinate_ground_data,location_entered))>50
import json
import urllib.request
import requests
import pprint
import csv
import sys
import pprint
import statistics
from geopy.geocoders import Nominatim
from haversine import haversine, Unit
def distance(cordinate1,cordinate2):
return haversine(cordinate1, cordinate2)
def ground(link):
request=requests.get(link)
data = request.json()
t1=json.dumps(data)
t=json.loads(t1)
data=t['results']
return data
#pprint.pprint(data)
''' i=0
for i in range(5) :
pprint.pprint(data[i])
pprint.pprint(data[0]['date']['local'])
pprint.pprint(data[len(data)-1]['date']['local'])
pprint.pprint(data)
#print(request.text)'''
def satilite(fileName):
row = ['Year', ' Month', ' Date' ,'Latitude','longitude','AOD1','AOD2','STD3']
with open(fileName, 'r') as readFile:
reader = csv.reader(readFile)
lines = list(reader)
lines[0] = row
with open(fileName, 'w') as writeFile:
writer = csv.writer(writeFile)
writer.writerows(lines)
readFile.close()
writeFile.close()
reader = csv.DictReader(open(fileName, 'r'))
dict_list = []
for line in reader:
dict_list.append(line)
return dict_list
def sati_AOD(dict,coordinates):
min=10000
i=0
index=0
for i in range(len(dict)):
c=(float)(dict[i]['Latitude'])
a=(float)(dict[i]['longitude'])
co=(c,a)
if(distance(co,coordinates)<=min):
index=i
min=distance(co,coordinates)
val=((float)(dict[index]['AOD1'])+(float)(dict[index]['AOD2']))/2.0
return val
def variance(sample):
if(len(sample)==0):
return -1
standard_Value=10; # this is our standard value lowering it means closer points to a graph and vice versa
temp=[]
index=0
sample_new=sample
minimum_Deviation=0
length=len(sample)
mean= statistics.mean(sample)
standard_Deviation=statistics.stdev(sample)
most_Accurate_Value=sample[0]
val=abs(sample[0]-mean)
if(standard_Deviation<=standard_Value): # checking if the data given already fits our definition
#finding the value which is closet to mean
for i in range(length):
if((abs(sample[i]-mean))<=val):
val=abs(sample[i]-mean)
most_Accurate_Value=sample[i]
else :
#2.
for i in range(length):
for j in range (len(sample)):
temp=(sample[:j]+sample[j+1:])
minimum_Deviation=statistics.stdev(temp)
if(minimum_Deviation<standard_Deviation):
standard_Deviation=minimum_Deviation
index=j
sample_new=temp
sample=sample_new
if(len(sample)==2):
break
elif(standard_Deviation<=standard_Value):
break
mean=statistics.mean(sample)
length=len(sample)
for i in range(length):
if((abs(sample[i]-mean))<=most_Accurate_Value):
val=abs(sample[i]-mean)
most_Accurate_Value=sample[i]
return most_Accurate_Value
def ground_Aqi():
url = ('https://api.openaq.org/v1/measurements?city=Delhi')
ground_data=ground(url)
location_entered='Delhi Chanakyapuri'
actual_location= geolocator.geocode(location_entered)
location_entered=(actual_location.latitude,actual_location.longitude)
dict =[]
i=0
while i<len(ground_data)-7:
list1=[0,0,0,0,0,0,0] #[pm10,pm25,o3,no2,co,no3,so2]
cordinate_ground_data=(ground_data[i]['coordinates']['latitude'],ground_data[i]['coordinates']['longitude'])
if(True):
for j in range(7):
if((i+j)>=len(ground_data)):
break
elif(ground_data[i+j]['parameter']=='pm10'and list1[0]==0):
list1[0]=(ground_data[i+j]['value'])
elif(ground_data[i+j]['parameter']=='pm25'and list1[1]==0):
list1[1]=(ground_data[i+j]['value'])
elif(ground_data[i+j]['parameter']=='o3'and list1[2]==0):
list1[2]=(ground_data[i+j]['value'])
elif(ground_data[i+j]['parameter']=='no2'and list1[3]==0):
list1[3]=(ground_data[i+j]['value'])
elif(ground_data[i+j]['parameter']=='co'and list1[4]==0):
list1[4]=0
elif(ground_data[i+j]['parameter']=='no3'and list1[5]==0):
list1[5]=(ground_data[i+j]['value'])
elif(ground_data[i+j]['parameter']=='so2'and list1[6]==0):
list1[6]=(ground_data[i+j]['value'])
else :
i=i+j
dict.append(max(list1))
break
return variance(dict)
def generator():
geolocator = Nominatim(user_agent="Enter location")
#need to make this automated
location_entered='Delhi Chanakyapuri'
actual_location= geolocator.geocode(location_entered)
location_entered=(actual_location.latitude,actual_location.longitude)
url = ('https://api.openaq.org/v1/measurements?city=Delhi')
ground_data=ground(url)
sat=satilite('/home/ayush/Desktop/H.csv')
sati_AOD
dict={'satalite':sati_AOD(sat,location_entered),'Longitude':actual_location.longitude,'Latitude':actual_location.latitude}
print(dict)
generator()