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Script_fetch_from_db.py
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Script_fetch_from_db.py
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import pandas as pd
from pymongo import MongoClient
from urllib.parse import quote_plus
from datetime import datetime, timedelta
import certifi
ca_cert_bundle = certifi.where() # Use the system's trusted CA bundle
username = 'snapee_user'
password = 'w3O3Fjlk5wsvnUt9'
encoded_password = quote_plus(password)
connection_string = f'mongodb+srv://{username}:{encoded_password}@snapeeapp.3rtq6.mongodb.net/?retryWrites=true&w=majority&appName=snapeeApp&tlsCAFile={ca_cert_bundle}'
'''
connection_string=f'mongodb+srv://ML_Snape:Learn@2024@snapeeapp.3rtq6.mongodb.net/?retryWrites=true&w=majority&appName=snapeeApp&tlsCAFile={ca_cert_bundle}'
'''
client = MongoClient(connection_string)
db = client['snapee']
collection = db['bookings_rides']
current_datetime = datetime.now()
current_datetime_utc = current_datetime - timedelta(hours=5, minutes=30)
prev_25_hours_utc = current_datetime_utc - timedelta(hours=26)
# Query and projection
query = {
'createdDate': {
'$gte': prev_25_hours_utc,
'$lte': current_datetime_utc
}
}
projection = {
'createdDate': 1,
'pickup.location.latitude': 1,
'pickup.location.longitude': 1,
'bookingDateDevice': 1,
'createdBy.mobile': 1,
'bookingDateDevice': 1
}
cursor = collection.find(query, projection)
cursor_list = list(cursor)
# Check if cursor_list is not empty
if cursor_list:
# Convert the cursor to a pandas DataFrame
cursor_df = pd.DataFrame(cursor_list)
cursor_df['longitude'] = cursor_df['pickup'].apply(lambda x: x['location']['longitude'])
cursor_df['latitude'] = cursor_df['pickup'].apply(lambda x: x['location']['latitude'])
cursor_df['createdBy.mobile'] = cursor_df['createdBy'].apply(lambda x: str(x['mobile']))
cursor_df = cursor_df.drop(['pickup', 'createdBy'], axis=1)
print(cursor_df)
else:
print("No data found.")
# Close the MongoDB client connection
client.close()
#
'''import pandas as pd
from pymongo import MongoClient
from urllib.parse import quote_plus
from datetime import datetime, timedelta
username = 'bt22cse089'
password = 'aayush@123'
encoded_password = quote_plus(password)
connection_string = f'mongodb+srv://{username}:{encoded_password}@for-testing.ocsya6p.mongodb.net/?retryWrites=true&w=majority&appName=For-testing'
client = MongoClient(connection_string)
db = client['newdb']
collection = db['newAppCollection']
print("connection Done")
current_datetime = datetime.now()
current_datetime_utc = current_datetime - timedelta(hours=5, minutes=30)
prev_25_hours_utc= current_datetime_utc - timedelta(hours=25)
query = {
'createdDate': {
'$gte': prev_25_hours_utc,
'$lte': current_datetime_utc
}
}
# Projection to select specific fields
projection = {
'bookingId': 1,
'pickup.location.latitude': 1,
'pickup.location.longitude': 1,
'bookingDateDevice': 1,
'createdBy.mobile': 1,
'bookingDateDevice':1
}
try:
cursor = collection.find(query, projection)
print("fetch done")
print(cursor)
except Exception as e:
print(f"An error occurred while fetching data: {e}")
try:
cursor = collection.find(query, projection)
print("fetch done")
cursor_list = list(cursor)
if cursor_list:
cursor_df = pd.DataFrame(cursor_list)
print(cursor_df)
else:
print("Cursor is empty.")
except Exception as e:
print(f"An error occurred while fetching data: {e}")
import pandas as pd
from pymongo import MongoClient
from urllib.parse import quote_plus
from datetime import datetime, timedelta
import certifi
ca_cert_bundle = certifi.where() # Use the system's trusted CA bundle
username = 'snapee_user'
password = 'w3O3Fjlk5wsvnUt9'
encoded_password = quote_plus(password)
connection_string = f'mongodb+srv://{username}:{encoded_password}@snapeeapp.3rtq6.mongodb.net/?retryWrites=true&w=majority&appName=snapeeApp&tlsCAFile={ca_cert_bundle}'
# Connect to MongoDB
client = MongoClient(connection_string)
db = client['SnapeeApp']
collection = db['booking_rides']
# Current datetime and time range for query
current_datetime = datetime.now()
current_datetime_utc = current_datetime - timedelta(hours=5, minutes=30)
prev_25_hours_utc = current_datetime_utc - timedelta(hours=25)
# Query and projection
query = {
'createdDate': {
'$gte': prev_25_hours_utc,
'$lte': current_datetime_utc
}
}
projection = {
'bookingId': 1,
'pickup.location.latitude': 1,
'pickup.location.longitude': 1,
'bookingDateDevice': 1,
'createdBy.mobile': 1,
'bookingDateDevice': 1
}
try:
# Execute the query and fetch the data
cursor = collection.find(query, projection)
cursor_list = list(cursor)
# Convert the cursor to a pandas DataFrame
if cursor_list:
cursor_df = pd.DataFrame(cursor_list)
cursor_df['longitude'] = cursor_df['pickup'].apply(lambda x: x['location']['longitude'])
cursor_df['latitude'] = cursor_df['pickup'].apply(lambda x: x['location']['latitude'])
cursor_df['createdBy.mobile'] = cursor_df['createdBy'].apply(lambda x: str(x['mobile']))
cursor_df = cursor_df.drop(['pickup', 'createdBy'], axis=1)
print(cursor_df)
else:
print("No data found.")
except Exception as e:
print(f"An error occurred while fetching data: {e}")
finally:
client.close()
'''