To perform user login checks using MongoDB and Python, you can follow these steps:

Step 1: Set Up MongoDB
Make sure you have MongoDB installed and running. You can follow the steps mentioned earlier to set up a MongoDB container using Docker.

Step 2: Install PyMongo
Install the PyMongo library if you haven’t already:

pip install pymongo

Step 3: Create User Collection in MongoDB
Assuming you want to store user information in a collection named “users,” create the collection in your MongoDB database. You can do this using a MongoDB client like the MongoDB Compass GUI or by running MongoDB shell commands.

Step 4: User Login Check Script
Here’s an example Python script that demonstrates how to check user login using PyMongo:

from pymongo import MongoClient
from bson.objectid import ObjectId  # To handle MongoDB ObjectIds
from hashlib import sha256  # For password hashing

# Create a MongoDB client
client = MongoClient('localhost', 27017)

# Access the desired database and collection
db = client['mydatabase']
users_collection = db['users']

def login(username, password):
    # Hash the password for comparison
    hashed_password = sha256(password.encode()).hexdigest()

    # Search for the user by username and hashed password
    user = users_collection.find_one({'username': username, 'password': hashed_password})

    return user

# User input for login
username_input = input("Enter your username: ")
password_input = input("Enter your password: ")

# Perform login check
user = login(username_input, password_input)

if user:
    print("Login successful!")
    print("User details:", user)
    print("Invalid username or password")

# Close the client connection

In this example, replace 'mydatabase' with your actual database name, and make sure you have a 'users' collection with documents that contain 'username' and 'password' fields (where the password is hashed, preferably with a strong hashing algorithm).

Remember that this is a basic example. In a real-world application, you should consider using stronger security measures like salting and using more advanced hashing algorithms, as well as handling exceptions and validation properly.

Step 5: Clean Up
When you’re done, you can stop and remove the MongoDB container as described earlier.

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