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user_queries.py
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import pickle
from pymongo import MongoClient
import pandas as pd
import os
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
def get_users():
client = MongoClient("mongodb://localhost:27017")
db = client["temp"]
users=db["users"]
users.remove({})
# If modifying these scopes, delete the file token.json.
SCOPES = ['https://www.googleapis.com/auth/spreadsheets.readonly']
# The ID and range of a sample spreadsheet.
with open("SPREADSHEET_ID.pickle","rb") as file:
SPREADSHEET_ID = pickle.load(file)
RANGE_NAME = 'B1:AR'
creds = None
# The file token.json stores the user's access and refresh tokens, and is
# created automatically when the authorization flow completes for the first
# time.
if os.path.exists('token.json'):
creds = Credentials.from_authorized_user_file('token.json', SCOPES)
# If there are no (valid) credentials available, let the user log in.
if not creds or not creds.valid:
if creds and creds.expired and creds.refresh_token:
creds.refresh(Request())
else:
flow = InstalledAppFlow.from_client_secrets_file(
'credentials.json', SCOPES)
creds = flow.run_local_server(port=0)
# Save the credentials for the next run
with open('token.json', 'w') as token:
token.write(creds.to_json())
service = build('sheets', 'v4', credentials=creds)
# Call the Sheets API
sheet = service.spreadsheets()
result = sheet.values().get(spreadsheetId=SPREADSHEET_ID,
range=RANGE_NAME).execute()
values = result.get('values', [])
states_districts={}
if not values:
print('No data found.')
else:
i=0
for row in values:
if i==0:
i+=1
continue
temp = list(filter(lambda a: a!="",row))
print(temp)
state = temp[3].strip()
district = temp[4].strip()
users.insert_one({"emailId":temp[0],"name":temp[1],"age":temp[2],"state":state,"district":district})
if (state,district) not in states_districts:
states_districts[(state,district)]=1
return states_districts