import time

class LeakyBucket:
    def __init__(self, capacity, rate):
        self.capacity = capacity
        self.rate = rate
        self.water_level = 0
        self.last_leak_time = time.time()

    def allow_request(self):
        current_time = time.time()
        time_since_last_leak = current_time - self.last_leak_time
        self.last_leak_time = current_time
        self.water_level = max(0, self.water_level - time_since_last_leak * self.rate)
        if self.water_level < self.capacity:
            self.water_level += 1
            return True
        else:
            return False

bucket = LeakyBucket(10, 1) # allow 10 requests per second
for i in range(20):
    if bucket.allow_request():
        print(f"Request {i} allowed")
    else:
        print(f"Request {i} rejected")
    time.sleep(0.1)

import time

class TokenBucket:
    def __init__(self, capacity, fill_rate):
        self.capacity = capacity
        self.tokens = capacity
        self.fill_rate = fill_rate
        self.last_update = time.time()

    def consume(self, tokens):
        if tokens <= self.tokens:
            self.tokens -= tokens
            return True
        else:
            return False

    def refill(self):
        now = time.time()
        elapsed_time = now - self.last_update
        new_tokens = elapsed_time * self.fill_rate
        self.tokens = min(self.tokens + new_tokens, self.capacity)
        self.last_update = now

# create a token bucket with a capacity of 10 and a fill rate of 1 token per second
bucket = TokenBucket(10, 1)

# process 15 requests
for i in range(15):
    if bucket.consume(1):
        print(f"Processing request {i+1}")
    else:
        print(f"Blocking request {i+1}")

    # refill the token bucket after each request
    bucket.refill()

import time

class SlidingWindowCounter:
    def __init__(self, window_size, max_requests):
        self.window_size = window_size
        self.max_requests = max_requests
        self.window = []

    def allow_request(self):
        # remove old timestamps from the window
        self.cleanup()

        # check if the number of requests within the sliding window exceeds the maximum allowed
        if len(self.window) < self.max_requests:
            self.window.append(time.time())
            return True
        else:
            return False

    def cleanup(self):
        # remove timestamps from the window that are older than the sliding window duration
        while self.window and self.window[0] < time.time() - self.window_size:
            self.window.pop(0)

# create a sliding window counter with a window size of 10 seconds and a maximum of 5 requests
counter = SlidingWindowCounter(10, 5)

# process 10 requests
for i in range(10):
    if counter.allow_request():
        print(f"Processing request {i+1}")
    else:
        print(f"Blocking request {i+1}")
    time.sleep(1)  # simulate a delay of 1 second between requests

import time

class RateLimiter:
    def __init__(self, max_requests, window_size):
        self.max_requests = max_requests
        self.window_size = window_size
        self.request_counts = [0] * window_size
        self.request_times = [0] * window_size
        self.current_index = 0

    def allow_request(self):
        current_time = int(time.time())
        current_count = sum(self.request_counts)
        if current_count >= self.max_requests:
            return False
        else:
            index = self.current_index % self.window_size
            if current_time - self.request_times[index] >= 1:
                self.request_counts[index] = 1
                self.request_times[index] = current_time
                self.current_index += 1
                return True
            else:
                self.request_counts[index] += 1
                return True

limiter = RateLimiter(max_requests=10, window_size=60)

def my_function():
    if limiter.allow_request():
        # process request
    else:
        # return error response

from flask import Flask
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address

app = Flask(__name__)
limiter = Limiter(app, key_func=get_remote_address)

@app.route("/")
@limiter.limit("10/minute")
def index():
    return "Hello, World!"

if __name__ == "__main__":
    app.run()

import time
from flask import Flask, jsonify

app = Flask(__name__)

# Set the maximum number of requests per minute
RATE_LIMIT = 60

# Keep track of the number of requests in the current minute
request_counter = 0

# Timestamp of the start of the current minute
current_minute = int(time.time() / 60)

@app.route("/api/endpoint", methods=["GET"])
def api_endpoint():
    global request_counter
    global current_minute

    # Get the current timestamp and check if the current minute has changed
    timestamp = int(time.time() / 60)
    if timestamp > current_minute:
        # If the current minute has changed, reset the request counter
        request_counter = 0
        current_minute = timestamp

    # Check if the rate limit has been exceeded
    if request_counter >= RATE_LIMIT:
        return jsonify({"error": "Rate limit exceeded"}), 429

    # Increment the request counter
    request_counter += 1

    # Return the response
    return jsonify({"message": "Success"})

if __name__ == "__main__":
    app.run(debug=True)

import java.time.*;
import java.util.*;

class RateLimiter {
    private Map<String, Queue<LocalDateTime>> requestHistory;
    private int requestsPerSecond;

    public RateLimiter(int requestsPerSecond) {
        this.requestHistory = new HashMap<>();
        this.requestsPerSecond = requestsPerSecond;
    }

    public boolean allowRequest(String clientId) {
        Queue<LocalDateTime> clientRequests = requestHistory.getOrDefault(clientId, new LinkedList<>());
        LocalDateTime currentTime = LocalDateTime.now();

        // Remove requests older than one second
        while (!clientRequests.isEmpty() && Duration.between(clientRequests.peek(), currentTime).getSeconds() >= 1) {
            clientRequests.poll();
        }

        // Check if the request limit has been exceeded
        if (clientRequests.size() >= requestsPerSecond) {
            return false;
        }

        // Add the current request timestamp
        clientRequests.offer(currentTime);
        requestHistory.put(clientId, clientRequests);

        return true;
    }
}

public class RateLimiterApp {
    public static void main(String[] args) {
        RateLimiter rateLimiter = new RateLimiter(3); // Allowing 3 requests per second

        // Simulate API requests
        for (int i = 1; i <= 5; i++) {
            String clientId = "client" + i;
            boolean allowed = rateLimiter.allowRequest(clientId);
            System.out.println("Request from client " + clientId + ": " + (allowed ? "Allowed" : "Denied"));
        }
    }
}

from flask import Flask, jsonify, request
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address

app = Flask(__name__)
limiter = Limiter(app, key_func=get_remote_address, default_limits=["10 per minute"])

# Endpoint for testing rate limiting
@app.route('/test', methods=['GET'])
@limiter.limit("5 per minute")
def test_rate_limiter():
    return jsonify({'message': 'Request accepted!'})

if __name__ == '__main__':
    app.run(debug=True)

import time

class TokenBucket:
    def __init__(self, capacity, fill_rate):
        self.capacity = capacity
        self.tokens = capacity
        self.fill_rate = fill_rate
        self.last_refill_time = time.time()

    def refill(self):
        now = time.time()
        elapsed_time = now - self.last_refill_time
        new_tokens = elapsed_time * self.fill_rate
        self.tokens = min(self.capacity, self.tokens + new_tokens)
        self.last_refill_time = now

    def consume(self, tokens):
        if tokens <= self.tokens:
            self.tokens -= tokens
            return True
        else:
            return False

# Usage example
bucket = TokenBucket(capacity=10, fill_rate=2)

# Check if there are enough tokens to process a request
if bucket.consume(3):
    # Process the request
    print("Request processed successfully.")
else:
    # Reject the request or delay it
    print("Request rate limit exceeded.")

import time

class LeakyBucket:
    def __init__(self, capacity, leak_rate):
        self.capacity = capacity
        self.water_level = 0
        self.leak_rate = leak_rate
        self.last_leak_time = time.time()

    def leak(self):
        now = time.time()
        elapsed_time = now - self.last_leak_time
        leaked_water = elapsed_time * self.leak_rate
        self.water_level = max(0, self.water_level - leaked_water)
        self.last_leak_time = now

    def add_request(self):
        if self.water_level < self.capacity:
            self.water_level += 1
            return True
        else:
            return False

# Usage example
bucket = LeakyBucket(capacity=10, leak_rate=0.5)

# Check if the bucket can accommodate a new request
if bucket.add_request():
    # Process the request
    print("Request processed successfully.")
else:
    # Reject the request or delay it
    print("Request rate limit exceeded.")

import time

class FixedWindowRateLimiter:
    def __init__(self, max_requests, window_size):
        self.max_requests = max_requests
        self.window_size = window_size
        self.request_log = []

    def allow_request(self):
        current_time = time.time()

        # Remove expired requests from the log
        self.request_log = [req_time for req_time in self.request_log if req_time > current_time - self.window_size]

        # Check if the number of requests exceeds the limit
        if len(self.request_log) < self.max_requests:
            self.request_log.append(current_time)
            return True
        else:
            return False

# Usage example
limiter = FixedWindowRateLimiter(max_requests=5, window_size=60)

# Check if a request is allowed
if limiter.allow_request():
    # Process the request
    print("Request processed successfully.")
else:
    # Reject the request or delay it
    print("Request rate limit exceeded.")

import time

class TokenBucket:
    def __init__(self, capacity, fill_rate):
        self.capacity = capacity
        self.tokens = capacity
        self.fill_rate = fill_rate
        self.last_refill_time = time.time()

    def refill(self):
        now = time.time()
        elapsed_time = now - self.last_refill_time
        new_tokens = elapsed_time * self.fill_rate
        self.tokens = min(self.capacity, self.tokens + new_tokens)
        self.last_refill_time = now

    def consume(self, tokens):
        if tokens <= self.tokens:
            self.tokens -= tokens
            return True
        else:
            return False

# Usage example
bucket = TokenBucket(capacity=10, fill_rate=2)

# Check if there are enough tokens to process a request
if bucket.consume(3):
    # Process the request
    print("Request processed successfully.")
else:
    # Reject the request or delay it
    print("Request rate limit exceeded.")

from flask import Flask, request
from collections import defaultdict

app = Flask(__name__)

# Track requests using client IP addresses
request_counts = defaultdict(int)

@app.route("/")
def index():
    client_ip = request.remote_addr
    request_counts[client_ip] += 1

    # Process the request
    return "Request processed successfully."

if __name__ == "__main__":
    app.run()

from flask import Flask, request
from functools import wraps

app = Flask(__name__)

# Rate limit decorator
def rate_limit(limit):
    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            client_id = get_client_id()  # Implement logic to get client ID

            # Implement rate limit policy based on client ID or any other criteria
            if is_rate_limited(client_id, limit):
                return "Rate limit exceeded", 429

            return func(*args, **kwargs)

        return wrapper
    return decorator

# Example API endpoint with rate limit
@app.route("/")
@rate_limit(limit=100)  # Limit to 100 requests per minute
def index():
    # Process the request
    return "Request processed successfully."

if __name__ == "__main__":
    app.run()

from flask import Flask, request
from functools import wraps

app = Flask(__name__)

# Rate limit decorator
def rate_limit(limit):
    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            client_id = get_client_id()  # Implement logic to get client ID

            # Implement rate limit policy based on client ID or any other criteria
            if is_rate_limited(client_id, limit):
                return handle_rate_limit_exceeded()

            return func(*args, **kwargs)

        return wrapper
    return decorator

# Handle rate limit exceeded
def handle_rate_limit_exceeded():
    response = {
        "error": "Rate limit exceeded",
        "message": "You have reached the maximum number of requests allowed. Please try again later."
    }
    return response, 429

# Example API endpoint with rate limit
@app.route("/")
@rate_limit(limit=100)  # Limit to 100 requests per minute
def index():
    # Process the request
    return "Request processed successfully."

if __name__ == "__main__":
    app.run()

import redis
from flask import Flask, request
from functools import wraps

app = Flask(__name__)
redis_client = redis.Redis(host='localhost', port=6379)

# Rate limit decorator
def rate_limit(limit):
    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            client_id = get_client_id()  # Implement logic to get client ID

            # Implement rate limit policy based on client ID or any other criteria
            if is_rate_limited(client_id, limit):
                return handle_rate_limit_exceeded()

            return func(*args, **kwargs)

        return wrapper
    return decorator

# Check if the client has exceeded the rate limit
def is_rate_limited(client_id, limit):
    key = f"rate_limit:{client_id}"
    current_count = redis_client.get(key)
    if current_count is None:
        redis_client.set(key, 1, ex=limit)
        return False
    else:
        current_count = int(current_count)
        if current_count >= limit:
            return True
        else:
            redis_client.incr(key)
            return False

# Handle rate limit exceeded
def handle_rate_limit_exceeded():
    response = {
        "error": "Rate limit exceeded",
        "message": "You have reached the maximum number of requests allowed. Please try again later."
    }
    return response, 429

# Example API endpoint with rate limit
@app.route("/")
@rate_limit(limit=100)  # Limit to 100 requests per minute
def index():
    # Process the request
    return "Request processed successfully."

if __name__ == "__main__":
    app.run()

from flask import Flask, request
from functools import wraps

app = Flask(__name__)

# Rate limit decorator with dynamic rate adjustment
def rate_limit(limit_func):
    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            client_id = get_client_id()  # Implement logic to get client ID
            limit = limit_func(client_id)  # Dynamic rate limit based on client ID or other criteria

            # Implement rate limit policy based on the dynamic limit
            if is_rate_limited(client_id, limit):
                return handle_rate_limit_exceeded()

            return func(*args, **kwargs)

        return wrapper
    return decorator

# Example dynamic rate limit function
def get_rate_limit(client_id):
    # Implement dynamic rate limit adjustment based on system load or client behavior
    # Example: Gradually increase or decrease rate limits based on performance or user activity
    return 100  # Return the calculated rate limit

# Example burst rate limit function
def get_burst_rate_limit(client_id):
    # Implement burst rate limit adjustment based on system load or client behavior
    # Example: Set higher rate limits for short periods to handle spikes in traffic
    return 200  # Return the calculated burst rate limit

# Example adaptive rate limit function
def get_adaptive_rate_limit(client_id):
    # Implement adaptive rate limit adjustment based on system load or client behavior
    # Example: Adjust rate limits dynamically based on real-time conditions
    return 50  # Return the calculated adaptive rate limit

# Example API endpoint with dynamic rate limit
@app.route("/")
@rate_limit(limit_func=get_rate_limit)  # Dynamically adjust rate limit based on client ID
def index():
    # Process the request
    return "Request processed successfully."

if __name__ == "__main__":
    app.run()

import time
import logging
from flask import Flask, request
from functools import wraps

app = Flask(__name__)
logging.basicConfig(level=logging.INFO)

# Rate limit decorator with metrics and monitoring
def rate_limit(limit, window):
    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            client_id = get_client_id()  # Implement logic to get client ID

            # Update metrics
            update_metrics(client_id)

            # Implement rate limit policy based on metrics
            if is_rate_limited(client_id, limit, window):
                return handle_rate_limit_exceeded()

            return func(*args, **kwargs)

        return wrapper
    return decorator

# Update metrics for rate limiting
def update_metrics(client_id):
    timestamp = int(time.time())
    # Implement metrics collection (e.g., store timestamp and request count in a database or log file)
    logging.info(f"Rate limited request from client {client_id} at {timestamp}")

# Check if the client has exceeded the rate limit
def is_rate_limited(client_id, limit, window):
    # Implement rate limit policy based on metrics (e.g., check request count within a specified window)
    # Retrieve metrics from a database or log file
    # Example: If the request count exceeds the limit within the specified window, return True
    return False

# Handle rate limit exceeded
def handle_rate_limit_exceeded():
    response = {
        "error": "Rate limit exceeded",
        "message": "You have reached the maximum number of requests allowed. Please try again later."
    }
    return response, 429

# Example API endpoint with rate limit and metrics
@app.route("/")
@rate_limit(limit=100, window=60)  # Limit to 100 requests per minute
def index():
    # Process the request
    return "Request processed successfully."

if __name__ == "__main__":
    app.run()

from flask import Flask, request
from functools import wraps

app = Flask(__name__)

# Whitelist decorator
def whitelist(allowed_clients):
    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            client_id = get_client_id()  # Implement logic to get client ID

            # Check if the client is in the allowed clients whitelist
            if client_id not in allowed_clients:
                return handle_unauthorized()

            return func(*args, **kwargs)

        return wrapper
    return decorator

# Blacklist decorator
def blacklist(blocked_clients):
    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            client_id = get_client_id()  # Implement logic to get client ID

            # Check if the client is in the blocked clients blacklist
            if client_id in blocked_clients:
                return handle_blocked()

            return func(*args, **kwargs)

        return wrapper
    return decorator

# Example whitelist and blacklist
allowed_clients = ["client1", "client2", "client3"]
blocked_clients = ["client4", "client5"]

# Example API endpoint with whitelist and blacklist
@app.route("/")
@whitelist(allowed_clients)
@blacklist(blocked_clients)
def index():
    # Process the request
    return "Request processed successfully."

# Handle unauthorized access
def handle_unauthorized():
    response = {
        "error": "Unauthorized",
        "message": "You are not authorized to access this resource."
    }
    return response, 401

# Handle blocked client
def handle_blocked():
    response = {
        "error": "Blocked",
        "message": "Your client is blocked from accessing this resource."
    }
    return response, 403

if __name__ == "__main__":
    app.run()

import requests

# Example test scenario for testing rate limits for different client tiers
def test_rate_limits():
    clients = ["client1", "client2", "client3"]
    for client in clients:
        for i in range(10):
            response = requests.get(f"https://api.example.com/endpoint", headers={"X-Client-ID": client})
            print(f"Client: {client}, Request {i+1}, Response: {response.status_code}")

# Example load testing using Locust
from locust import HttpUser, task, between

class MyUser(HttpUser):
    wait_time = between(1, 5)

    @task
    def make_request(self):
        self.client.get("/endpoint")

# Example of caching rate limit data
import functools
import time

def rate_limit_cache(func):
    cache = {}

    @functools.wraps(func)
    def wrapper(*args):
        client_id = args[0]
        if client_id in cache and time.time() < cache[client_id]['expiry']:
            return cache[client_id]['limit']

        result = func(*args)
        cache[client_id] = {
            'limit': result,
            'expiry': time.time() + 60  # Assuming rate limit expiry after 60 seconds
        }
        return result

    return wrapper

@rate_limit_cache
def get_rate_limit(client_id):
    # Simulate fetching rate limit from the database or configuration
    return 100

# Usage
rate_limit = get_rate_limit("client1")
print(rate_limit)

# Example using Flask and gunicorn for horizontal scaling
from flask import Flask
app = Flask(__name__)

@app.route('/endpoint')
def handle_request():
    # Handle the request
    return "Response"

# Use gunicorn to run multiple worker processes
# gunicorn -w 4 myapp:app

import java.util.*;

class Document {
    private String documentId;
    private String title;
    private String content;
    private User owner;
    private List<User> collaborators;
    // other document attributes
    
    public Document(String documentId, String title, String content, User owner) {
        this.documentId = documentId;
        this.title = title;
        this.content = content;
        this.owner = owner;
        this.collaborators = new ArrayList<>();
        // initialize other attributes
    }
    
    // Getters and setters for attributes
    // ...
}

class User {
    private String userId;
    private String username;
    private String password;
    // other user attributes
    
    public User(String userId, String username, String password) {
        this.userId = userId;
        this.username = username;
        this.password = password;
        // initialize other attributes
    }
    
    // Getters and setters for attributes
    // ...
}

class MSDocs {
    private Map<String, User> users;
    private Map<String, Document> documents;
    
    public MSDocs() {
        this.users = new HashMap<>();
        this.documents = new HashMap<>();
    }
    
    public void addUser(User user) {
        users.put(user.getUserId(), user);
    }
    
    public User getUserById(String userId) {
        return users.get(userId);
    }
    
    public void createDocument(String documentId, String title, String content, String ownerId) {
        User owner = getUserById(ownerId);
        
        if (owner == null) {
            System.out.println("Owner not found");
            return;
        }
        
        Document document = new Document(documentId, title, content, owner);
        documents.put(documentId, document);
    }
    
    public void addCollaborator(String documentId, String userId) {
        Document document = documents.get(documentId);
        User collaborator = getUserById(userId);
        
        if (document == null || collaborator == null) {
            System.out.println("Document or collaborator not found");
            return;
        }
        
        document.getCollaborators().add(collaborator);
    }
    
    // Additional methods for editing document content, sharing documents, etc.
    // ...
}

public class Main {
    public static void main(String[] args) {
        MSDocs msDocs = new MSDocs();
        
        User user1 = new User("1", "Alice", "password");
        User user2 = new User("2", "Bob", "password");
        
        msDocs.addUser(user1);
        msDocs.addUser(user2);
        
        msDocs.createDocument("1", "Document 1", "Content 1", "1");
        msDocs.addCollaborator("1", "2");
    }
}

from flask import Flask, request, jsonify

app = Flask(__name__)

# Authentication Endpoints
@app.route('/api/auth/register', methods=['POST'])
def register_user():
    # Implementation details for registering a new user
    # Extract data from request and perform necessary operations
    return jsonify({'message': 'User registered successfully'})

@app.route('/api/auth/login', methods=['POST'])
def login_user():
    # Implementation details for user login
    # Extract data from request and perform necessary operations
    return jsonify({'message': 'User logged in successfully'})

@app.route('/api/auth/logout', methods=['POST'])
def logout_user():
    # Implementation details for user logout
    # Perform necessary operations such as invalidating tokens, etc.
    return jsonify({'message': 'User logged out successfully'})

# Documentation Endpoints
@app.route('/api/docs', methods=['GET'])
def get_all_docs():
    # Implementation details for retrieving all documentation
    # Perform necessary operations to fetch and return documentation data
    return jsonify({'docs': [...]})  # Placeholder for list of documentation

@app.route('/api/docs/<doc_id>', methods=['GET'])
def get_doc_details(doc_id):
    # Implementation details for retrieving details of a specific documentation
    # Perform necessary operations to fetch and return documentation details
    return jsonify({'doc': {...}})  # Placeholder for documentation details

from flask import Flask, request, jsonify

app = Flask(__name__)

# Placeholder data for documentation
documentation = [
    {
        'id': 1,
        'title': 'Getting Started with MS Docs',
        'content': 'This is the content for getting started guide...',
        'category': 'Getting Started',
        'version': '1.0'
    },
    {
        'id': 2,
        'title': 'Advanced Features of MS Docs',
        'content': 'This is the content for advanced features guide...',
        'category': 'Advanced',
        'version': '2.0'
    }
]

# Searchability: Search documentation by keywords or phrases
@app.route('/api/search', methods=['GET'])
def search_documentation():
    query = request.args.get('query')  # Get search query from request parameters

    # Perform search operation on documentation based on query
    results = []
    for doc in documentation:
        if query.lower() in doc['title'].lower() or query.lower() in doc['content'].lower():
            results.append(doc)

    return jsonify({'results': results})

# Structured Content: Get documentation by category
@app.route('/api/docs', methods=['GET'])
def get_documentation_by_category():
    category = request.args.get('category')  # Get category from request parameters

    # Filter documentation based on category
    filtered_docs = [doc for doc in documentation if doc['category'] == category]

    return jsonify({'docs': filtered_docs})

# Versioning: Get documentation by version
@app.route('/api/docs/<version>', methods=['GET'])
def get_documentation_by_version(version):
    # Filter documentation based on version
    filtered_docs = [doc for doc in documentation if doc['version'] == version]

    return jsonify({'docs': filtered_docs})

# Collaboration: Update documentation by ID
@app.route('/api/docs/<doc_id>', methods=['PUT'])
def update_documentation(doc_id):
    # Get updated content from request body
    updated_content = request.json.get('content')

    # Find the documentation by ID and update the content
    for doc in documentation:
        if doc['id'] == int(doc_id):
            doc['content'] = updated_content
            break

    return jsonify({'message': 'Documentation updated successfully'})

# Feedback and Comments: Add comments to documentation
@app.route('/api/docs/<doc_id>/comments', methods=['POST'])
def add_comment(doc_id):
    # Get comment data from request body
    comment = request.json.get('comment')

    # Find the documentation by ID and add the comment
    for doc in documentation:
        if doc['id'] == int(doc_id):
            if 'comments' not in doc:
                doc['comments'] = []
            doc['comments'].append(comment)
            break

    return jsonify({'message': 'Comment added successfully'})

# Localization: Get documentation in a specific language
@app.route('/api/docs/<language>', methods=['GET'])
def get_localized_documentation(language):
    # Filter documentation based on language
    filtered_docs = [doc for doc in documentation if doc.get('language') == language]

    return jsonify({'docs': filtered_docs})

# Code Integration: Get code snippets for documentation
@app.route('/api/docs/<doc_id>/code', methods=['GET'])
def get_code_snippets(doc_id):
    # Find the documentation by ID and get code snippets
    for doc in documentation:
        if doc['id'] == int(doc_id):
            code_snippets = doc.get('code_snippets', [])
            return jsonify({'code_snippets': code_snippets})

    return jsonify({'message': 'Documentation not found'})

if __name__ == '__main__':
    app.run()

# ATM Machine System Simulation - Small Scale

# Constants
TOTAL_USERS = 1000000
DAU = 200000
AVERAGE_TRANSACTIONS_PER_USER_PER_DAY = 5
READ_TO_WRITE_RATIO = 100
AVERAGE_STORAGE_PER_TRANSACTION_KB = 1
DAYS_IN_YEAR = 365
SIMULATION_YEARS = 3

# Function to estimate total storage for the given time period
def estimate_total_storage(days, storage_per_day):
    return days * storage_per_day

# Function to estimate requests per second
def estimate_requests_per_second(total_transactions_per_day):
    return total_transactions_per_day / (24 * 3600)

# Calculate total number of transactions per day
total_transactions_per_day = DAU * AVERAGE_TRANSACTIONS_PER_USER_PER_DAY

# Calculate total storage per day in KB
total_storage_per_day_kb = total_transactions_per_day * AVERAGE_STORAGE_PER_TRANSACTION_KB

# Calculate total storage for the given time period
total_storage_for_years = estimate_total_storage(SIMULATION_YEARS * DAYS_IN_YEAR, total_storage_per_day_kb)

# Convert total storage to TB
total_storage_tb = total_storage_for_years / (1024 * 1024)

# Calculate requests per second
requests_per_second = estimate_requests_per_second(total_transactions_per_day)

# Print the results
print("ATM Machine System Simulation - Small Scale")
print("------------------------------------------")
print(f"Total number of users: {TOTAL_USERS}")
print(f"Daily active users (DAU): {DAU}")
print(f"Average transactions per user per day: {AVERAGE_TRANSACTIONS_PER_USER_PER_DAY}")
print(f"Total number of transactions per day: {total_transactions_per_day}")
print(f"Read-to-write ratio: {READ_TO_WRITE_RATIO}:1")
print(f"Average storage per transaction: {AVERAGE_STORAGE_PER_TRANSACTION_KB} KB")
print(f"Storage estimation for {SIMULATION_YEARS} years: {total_storage_tb:.3f} TB")
print(f"Requests per second: {requests_per_second:.2f}")

# Sample Data (for demonstration purposes, use a database in a real system)
users = {
    1: {"User_ID": 1, "Name": "John Doe", "PIN": "1234", "Balance": 5000},
    2: {"User_ID": 2, "Name": "Jane Smith", "PIN": "5678", "Balance": 10000}
}

atms = {
    101: {"ATM_ID": 101, "Location": "Sample Location", "Bank_ID": "ABC Bank"},
    102: {"ATM_ID": 102, "Location": "Another Location", "Bank_ID": "XYZ Bank"}
}

transactions = []

# User Authentication Service
def authenticate_user(user_id, pin):
    user = users.get(user_id)
    if user and user['PIN'] == pin:
        return True
    return False

# Account Service
def get_account_balance(user_id):
    user = users.get(user_id)
    if user:
        return user['Balance']
    return None

def update_user_account(user_id, name, pin, balance):
    if user_id in users:
        user = users[user_id]
        user['Name'] = name
        user['PIN'] = pin
        user['Balance'] = balance
        return True
    return False

# Transaction Service
def perform_cash_withdrawal(user_id, atm_id, amount):
    user = users.get(user_id)
    atm = atms.get(atm_id)
    
    if user and atm and amount > 0 and amount <= user['Balance']:
        user['Balance'] -= amount
        transactions.append({
            "Transaction_ID": len(transactions) + 1,
            "User_ID": user_id,
            "ATM_ID": atm_id,
            "Amount": amount,
            "Transaction_Type": "Withdrawal"
        })
        return True
    return False

def perform_fund_transfer(sender_id, receiver_id, amount):
    sender = users.get(sender_id)
    receiver = users.get(receiver_id)
    
    if sender and receiver and amount > 0 and amount <= sender['Balance']:
        sender['Balance'] -= amount
        receiver['Balance'] += amount
        transactions.append({
            "Transaction_ID": len(transactions) + 1,
            "User_ID": sender_id,
            "Receiver_ID": receiver_id,
            "Amount": amount,
            "Transaction_Type": "Transfer"
        })
        return True
    return False

def get_transaction_history(user_id):
    return [t for t in transactions if t['User_ID'] == user_id]

# ATM Service
def find_nearest_atm(user_location):
    # Implement logic to find the nearest ATM based on user location
    pass

# Sample usage:
if __name__ == "__main__":
    user_id = 1
    pin = "1234"

    if authenticate_user(user_id, pin):
        print("Authentication successful!")
        print("Account Balance:", get_account_balance(user_id))

        new_balance = 4000
        if update_user_account(user_id, "John Doe", "4321", new_balance):
            print("Account updated successfully!")

        atm_id = 101
        withdrawal_amount = 2000
        if perform_cash_withdrawal(user_id, atm_id, withdrawal_amount):
            print("Cash withdrawal successful!")
            print("Updated Account Balance:", get_account_balance(user_id))

        receiver_id = 2
        transfer_amount = 1000
        if perform_fund_transfer(user_id, receiver_id, transfer_amount):
            print(f"Transfer of {transfer_amount} to User ID {receiver_id} successful!")
            print("Updated Account Balance:", get_account_balance(user_id))

        print("Transaction History:")
        print(get_transaction_history(user_id))
    else:
        print("Authentication failed! Invalid user ID or PIN.")

# Import required modules
from flask import Flask, request, jsonify

# Create Flask app
app = Flask(__name__)

# Simulated user data (in a real system, you'd have a database for this)
users = [
    {"user_id": 1, "name": "John Doe", "pin": "1234", "balance": 5000},
    {"user_id": 2, "name": "Jane Smith", "pin": "5678", "balance": 10000}
]

# In-memory data to store transaction history (in a real system, use a database)
transaction_history = []

# Helper function to find a user by user_id
def get_user_by_id(user_id):
    for user in users:
        if user["user_id"] == user_id:
            return user
    return None

# Helper function to validate the access token (in a real system, use JWT or similar)
def validate_access_token(access_token):
    # For simplicity, we are assuming any non-empty access token is valid.
    return access_token is not None

# API endpoint for user login (authentication)
@app.route('/api/login', methods=['POST'])
def login():
    data = request.json
    user_id = data.get('user_id')
    pin = data.get('pin')

    user = get_user_by_id(user_id)

    if user and user['pin'] == pin:
        return jsonify({'access_token': 'random_access_token'})
    else:
        return jsonify({'error': 'Invalid user ID or PIN'}), 401

# API endpoint to get account balance
@app.route('/api/balance', methods=['GET'])
def get_balance():
    access_token = request.headers.get('Authorization')
    if not validate_access_token(access_token):
        return jsonify({'error': 'Unauthorized'}), 401

    user_id = request.args.get('user_id')
    user = get_user_by_id(int(user_id))

    if user:
        return jsonify({'balance': user['balance']})
    else:
        return jsonify({'error': 'User not found'}), 404

# API endpoint for cash withdrawal
@app.route('/api/withdraw', methods=['POST'])
def withdraw():
    access_token = request.headers.get('Authorization')
    if not validate_access_token(access_token):
        return jsonify({'error': 'Unauthorized'}), 401

    data = request.json
    user_id = data.get('user_id')
    amount = data.get('amount')

    user = get_user_by_id(int(user_id))

    if user:
        if amount > 0 and amount <= user['balance']:
            user['balance'] -= amount
            transaction_history.append({'user_id': user_id, 'type': 'withdrawal', 'amount': amount})
            return jsonify({'message': 'Withdrawal successful'})
        else:
            return jsonify({'error': 'Invalid amount or insufficient balance'}), 400
    else:
        return jsonify({'error': 'User not found'}), 404

# API endpoint for fund transfer
@app.route('/api/transfer', methods=['POST'])
def transfer():
    access_token = request.headers.get('Authorization')
    if not validate_access_token(access_token):
        return jsonify({'error': 'Unauthorized'}), 401

    data = request.json
    user_id = data.get('user_id')
    amount = data.get('amount')
    target_user_id = data.get('target_user_id')

    user = get_user_by_id(int(user_id))
    target_user = get_user_by_id(int(target_user_id))

    if user and target_user:
        if amount > 0 and amount <= user['balance']:
            user['balance'] -= amount
            target_user['balance'] += amount
            transaction_history.append({'user_id': user_id, 'type': 'transfer', 'amount': amount})
            transaction_history.append({'user_id': target_user_id, 'type': 'transfer_received', 'amount': amount})
            return jsonify({'message': 'Transfer successful'})
        else:
            return jsonify({'error': 'Invalid amount or insufficient balance'}), 400
    else:
        return jsonify({'error': 'User not found'}), 404

# API endpoint for cash or check deposit
@app.route('/api/deposit', methods=['POST'])
def deposit():
    access_token = request.headers.get('Authorization')
    if not validate_access_token(access_token):
        return jsonify({'error': 'Unauthorized'}), 401

    data = request.json
    user_id = data.get('user_id')
    amount = data.get('amount')

    user = get_user_by_id(int(user_id))

    if user and amount > 0:
        user['balance'] += amount
        transaction_history.append({'user_id': user_id, 'type': 'deposit', 'amount': amount})
        return jsonify({'message': 'Deposit successful'})
    else:
        return jsonify({'error': 'Invalid amount or user not found'}), 400

# API endpoint to fetch transaction history
@app.route('/api/transaction-history', methods=['GET'])
def get_transaction_history():
    access_token = request.headers.get('Authorization')
    if not validate_access_token(access_token):
        return jsonify({'error': 'Unauthorized'}), 401

    user_id = request.args.get('user_id')

    user_transactions = [t for t in transaction_history if t['user_id'] == int(user_id)]

    return jsonify({'transactions': user_transactions})

# Run the Flask app
if __name__ == '__main__':
    app.run(debug=True)

Authentication:

POST /api/login: Authenticates the user by verifying their PIN or card details and returns an access token.

Account Actions:

GET /api/balance: Retrieves the account balance for the authenticated user.
POST /api/withdraw: Processes cash withdrawal requests and updates the account balance.
POST /api/transfer: Facilitates fund transfer between the authenticated user's accounts.
POST /api/deposit: Processes cash or check deposits into the authenticated user's account.

Transaction History:

GET /api/transaction-history: Fetches the transaction history for the authenticated user.

import random

class User:
    def __init__(self, user_id, name, pin, balance):
        self.user_id = user_id
        self.name = name
        self.pin = pin
        self.balance = balance

class ATM:
    def __init__(self, atm_id, location, bank_id):
        self.atm_id = atm_id
        self.location = location
        self.bank_id = bank_id

class Transaction:
    def __init__(self, transaction_id, user_id, atm_id, amount, transaction_type, timestamp):
        self.transaction_id = transaction_id
        self.user_id = user_id
        self.atm_id = atm_id
        self.amount = amount
        self.transaction_type = transaction_type
        self.timestamp = timestamp

users = {}
atms = {}
transactions = []

# Add some sample data for demonstration purposes
users["user1"] = User("user1", "John Doe", "1234", 5000)
users["user2"] = User("user2", "Jane Smith", "5678", 10000)
atms["atm1"] = ATM("atm1", "Sample Location", "ABC Bank")
atms["atm2"] = ATM("atm2", "Another Location", "XYZ Bank")

def generate_transaction_id():
    return random.randint(10000000, 99999999)

def get_user_by_id(user_id):
    return users.get(user_id)

def perform_cash_withdrawal(user_id, atm_id, amount):
    user = get_user_by_id(user_id)
    atm = atms.get(atm_id)
    
    if user and atm and amount > 0 and amount <= user.balance:
        user.balance -= amount
        transaction_id = generate_transaction_id()
        transaction = Transaction(transaction_id, user_id, atm_id, amount, "Withdrawal", "2023-07-22 12:00:00")
        transactions.append(transaction)
        return True, transaction_id
    return False, None

def perform_fund_transfer(sender_id, receiver_id, amount):
    sender = get_user_by_id(sender_id)
    receiver = get_user_by_id(receiver_id)
    
    if sender and receiver and amount > 0 and amount <= sender.balance:
        sender.balance -= amount
        receiver.balance += amount
        transaction_id = generate_transaction_id()
        transaction = Transaction(transaction_id, sender_id, "NA", amount, "Transfer", "2023-07-22 12:00:00")
        transactions.append(transaction)
        return True, transaction_id
    return False, None

def get_transaction_history(user_id):
    return [t for t in transactions if t.user_id == user_id]

# Sample usage:
if __name__ == "__main__":
    user_id = "user1"
    pin = "1234"
    
    user = get_user_by_id(user_id)
    if user and user.pin == pin:
        print("Authentication successful!")
        print("Account Balance:", user.balance)

        withdrawal_amount = 2000
        success, transaction_id = perform_cash_withdrawal(user_id, "atm1", withdrawal_amount)
        if success:
            print("Cash withdrawal successful! Transaction ID:", transaction_id)
            print("Updated Account Balance:", user.balance)

        receiver_id = "user2"
        transfer_amount = 1000
        success, transaction_id = perform_fund_transfer(user_id, receiver_id, transfer_amount)
        if success:
            print(f"Transfer of {transfer_amount} to User ID {receiver_id} successful! Transaction ID:", transaction_id)
            print("Updated Account Balance:", user.balance)

        print("Transaction History:")
        for transaction in get_transaction_history(user_id):
            print("Transaction ID:", transaction.transaction_id)
            print("Amount:", transaction.amount)
            print("Transaction Type:", transaction.transaction_type)
            print("Timestamp:", transaction.timestamp)
            print()
    else:
        print("Authentication failed! Invalid user ID or PIN.")

# Simulated user data (in a real system, you'd have a database for this)
users = [
    {"user_id": 1, "name": "John Doe", "pin": "1234", "balance": 5000},
    {"user_id": 2, "name": "Jane Smith", "pin": "5678", "balance": 10000}
]

# In-memory data to store transaction history (in a real system, use a database)
transaction_history = []

# Helper function to find a user by user_id
def get_user_by_id(user_id):
    for user in users:
        if user["user_id"] == user_id:
            return user
    return None

# User Authentication
def authenticate_user(user_id, pin):
    user = get_user_by_id(user_id)
    if user and user['pin'] == pin:
        return True
    return False

# Cash Withdrawal
def withdraw_cash(user_id, amount):
    user = get_user_by_id(user_id)
    if user and amount > 0 and amount <= user['balance']:
        user['balance'] -= amount
        transaction_history.append({'user_id': user_id, 'type': 'withdrawal', 'amount': amount})
        return True
    return False

# Balance Inquiry
def get_account_balance(user_id):
    user = get_user_by_id(user_id)
    if user:
        return user['balance']
    return None

# Fund Transfer
def transfer_funds(user_id, target_user_id, amount):
    user = get_user_by_id(user_id)
    target_user = get_user_by_id(target_user_id)

    if user and target_user and amount > 0 and amount <= user['balance']:
        user['balance'] -= amount
        target_user['balance'] += amount
        transaction_history.append({'user_id': user_id, 'type': 'transfer', 'amount': amount, 'target_user_id': target_user_id})
        transaction_history.append({'user_id': target_user_id, 'type': 'transfer_received', 'amount': amount, 'source_user_id': user_id})
        return True
    return False

# Deposit Functionality
def deposit_funds(user_id, amount):
    user = get_user_by_id(user_id)
    if user and amount > 0:
        user['balance'] += amount
        transaction_history.append({'user_id': user_id, 'type': 'deposit', 'amount': amount})
        return True
    return False

# Transaction History
def get_user_transaction_history(user_id):
    user_transactions = [t for t in transaction_history if t['user_id'] == user_id]
    return user_transactions

# Account Management - Update PIN (for demonstration purposes, not a complete account management feature)
def update_pin(user_id, new_pin):
    user = get_user_by_id(user_id)
    if user and len(new_pin) == 4:  # Assume new PIN is a 4-digit string for simplicity
        user['pin'] = new_pin
        return True
    return False

# Security Measures - For demonstration purposes, we are not implementing encryption and session management in this code snippet.
# In a real system, these measures should be carefully implemented for securing user data and preventing unauthorized access.

# Example usage:
if __name__ == '__main__':
    user_id = 1
    pin = "1234"

    if authenticate_user(user_id, pin):
        print("Authentication successful!")
        print("Account Balance:", get_account_balance(user_id))

        amount_to_withdraw = 2000
        if withdraw_cash(user_id, amount_to_withdraw):
            print(f"Withdrawal of ${amount_to_withdraw} successful!")
            print("Updated Account Balance:", get_account_balance(user_id))
        else:
            print("Withdrawal failed! Insufficient balance.")

        target_user_id = 2
        amount_to_transfer = 1500
        if transfer_funds(user_id, target_user_id, amount_to_transfer):
            print(f"Transfer of ${amount_to_transfer} to User ID {target_user_id} successful!")
            print("Updated Account Balance:", get_account_balance(user_id))
        else:
            print("Transfer failed! Insufficient balance or invalid user IDs.")

        amount_to_deposit = 500
        if deposit_funds(user_id, amount_to_deposit):
            print(f"Deposit of ${amount_to_deposit} successful!")
            print("Updated Account Balance:", get_account_balance(user_id))
        else:
            print("Deposit failed! Invalid amount.")

        print("Transaction History:")
        print(get_user_transaction_history(user_id))

        new_pin = "9876"
        if update_pin(user_id, new_pin):
            print("PIN updated successfully!")
        else:
            print("PIN update failed! New PIN must be a 4-digit string.")
    else:
        print("Authentication failed! Invalid user ID or PIN.")

# Baggage class to hold baggage details

class Baggage:
    def __init__(self, baggage_id, passenger_name, destination, status):
        self.baggage_id = baggage_id
        self.passenger_name = passenger_name
        self.destination = destination
        self.status = status

# Low-Level API for Baggage Handling System

class BaggageHandlingSystem:
    def __init__(self):
        self.baggage_records = {}
        
    def check_in_baggage(self, baggage):
        # Simulate the check-in process and store the baggage record in the system
        self.baggage_records[baggage.baggage_id] = baggage
        print(f"Baggage {baggage.baggage_id} checked in for passenger {baggage.passenger_name} to {baggage.destination}.")
        
    def claim_baggage(self, baggage_id):
        # Simulate the baggage claim process and update the baggage status
        if baggage_id in self.baggage_records:
            self.baggage_records[baggage_id].status = "Claimed"
            print(f"Baggage {baggage_id} claimed successfully.")
        else:
            print(f"Baggage {baggage_id} not found.")
        
    def get_baggage_status(self, baggage_id):
        # Get the current status of the baggage
        if baggage_id in self.baggage_records:
            return self.baggage_records[baggage_id].status
        else:
            return "Baggage not found."

# Usage example:

# Initialize the Baggage Handling System
baggage_system = BaggageHandlingSystem()

# Simulate the check-in process for 100,000 bags
for i in range(1, 100001):
    baggage_id = f"B{i}"
    passenger_name = f"Passenger{i}"
    destination = "LHR"
    status = "Checked-in"
    baggage = Baggage(baggage_id, passenger_name, destination, status)
    baggage_system.check_in_baggage(baggage)

# Simulate the baggage claim process for 2,000 bags
for i in range(1, 2001):
    baggage_id = f"B{i}"
    baggage_system.claim_baggage(baggage_id)

# Get the current status of a baggage
baggage_id_to_check = "B12345"
status = baggage_system.get_baggage_status(baggage_id_to_check)
print(f"Status of Baggage {baggage_id_to_check}: {status}")

Baggage:

BaggageID: String (Primary Key)
Weight: Float
PassengerName: String
Destination: String
Status: String

Flight:

FlightNumber: String (Primary Key)
Destination: String

User:

UserID: String (Primary Key)
Username: String
Email: String
Password: String

# Baggage class to hold baggage details

class Baggage:
    def __init__(self, baggage_id, weight, passenger_name, destination):
        self.baggage_id = baggage_id
        self.weight = weight
        self.passenger_name = passenger_name
        self.destination = destination

# Flight class to hold flight details

class Flight:
    def __init__(self, flight_number, destination):
        self.flight_number = flight_number
        self.destination = destination

# Low-Level API for Baggage Sorting System

class BaggageSortingSystem:
    def __init__(self):
        # Initialize the sorting system
        pass
        
    def sort_baggage(self, baggage, flight):
        # Sorts the given baggage based on the flight destination
        # Parameters:
        # - baggage: Baggage object with necessary details
        # - flight: Flight object representing the destination flight
        print(f"Sorting baggage {baggage.baggage_id} for Flight {flight.flight_number} to {flight.destination}")

# Low-Level API for Conveyor System

class ConveyorSystem:
    def __init__(self):
        # Initialize the conveyor system
        pass
        
    def transport_baggage(self, baggage, destination):
        # Transports the given baggage to the specified destination (e.g., check-in, security, baggage claim)
        # Parameters:
        # - baggage: Baggage object to be transported
        # - destination: Destination checkpoint or area for the baggage
        print(f"Transporting baggage {baggage.baggage_id} to {destination}")

# Low-Level API for Baggage Tracking System

class BaggageTrackingSystem:
    def __init__(self):
        # Initialize the baggage tracking system
        pass
        
    def track_baggage(self, baggage):
        # Returns the current location/status of the given baggage
        # Parameters:
        # - baggage: Baggage object to be tracked
        # Returns:
        # - status: Current location/status of the baggage
        print(f"Tracking baggage {baggage.baggage_id}")

# High-Level API for Airport Baggage System

class AirportBaggageSystem:
    def __init__(self):
        self.sorting_system = BaggageSortingSystem()
        self.conveyor_system = ConveyorSystem()
        self.tracking_system = BaggageTrackingSystem()
        
    def check_in_baggage(self, baggage, flight):
        # Check-in baggage and sort it based on the destination flight
        # Parameters:
        # - baggage: Baggage object with necessary details
        # - flight: Flight object representing the destination flight
        self.sorting_system.sort_baggage(baggage, flight)
        
    def transport_baggage(self, baggage, destination):
        # Transport the baggage to the specified destination
        # Parameters:
        # - baggage: Baggage object to be transported
        # - destination: Destination checkpoint or area for the baggage
        self.conveyor_system.transport_baggage(baggage, destination)
        
    def track_baggage_status(self, baggage):
        # Get the current status of the baggage
        # Parameters:
        # - baggage: Baggage object to be tracked
        # Returns:
        # - status: Current location/status of the baggage
        self.tracking_system.track_baggage(baggage)

# Usage example:

# Initialize the Airport Baggage System
airport_system = AirportBaggageSystem()

# Create a Baggage object
baggage1 = Baggage(baggage_id="B1234", weight=25, passenger_name="John Doe", destination="LHR")

# Create a Flight object
flight1 = Flight(flight_number="AA123", destination="LHR")

# Check-in the baggage and sort it based on the destination flight
airport_system.check_in_baggage(baggage1, flight1)

# Transport the baggage to the security checkpoint
airport_system.transport_baggage(baggage1, "Security")

# Track the current status of the baggage
airport_system.track_baggage_status(baggage1)

Baggage Tracking API:

Endpoint: /baggage/track
Method: GET
Description: Retrieves the real-time tracking status of a specific baggage.
Request Parameters: baggage_id (String)
Response: JSON object with baggage details, including status.

Baggage Check-In API:

Endpoint: /baggage/checkin
Method: POST
Description: Allows airport staff to check in a new baggage.
Request Parameters: baggage_id (String), weight (float), passenger_name (String), destination (String)
Response: JSON object confirming the check-in status.

Baggage Claim API:

Endpoint: /baggage/claim
Method: POST
Description: Allows passengers to claim their baggage after arriving at their destination.
Request Parameters: baggage_id (String)
Response: JSON object confirming the baggage claim status.

# Baggage Tracking: Real-time tracking of baggage throughout its journey, enabling airport staff and passengers to know the exact location of their luggage.

class BaggageTrackingSystem:
    def __init__(self):
        self.baggage_status = {}
        
    def track_baggage(self, baggage):
        if baggage.baggage_id in self.baggage_status:
            return self.baggage_status[baggage.baggage_id]
        else:
            return "Baggage not found."

    def update_baggage_status(self, baggage, status):
        self.baggage_status[baggage.baggage_id] = status

# Sorting Mechanism: Automatic sorting of baggage based on flight destinations to ensure the correct bags are loaded onto the corresponding flights.

class BaggageSortingSystem:
    def __init__(self):
        self.sorting_rules = {} # Dictionary to hold sorting rules based on flight destination
        
    def add_sorting_rule(self, flight, destination):
        self.sorting_rules[flight.flight_number] = destination
        
    def sort_baggage(self, baggage, flight):
        if flight.flight_number in self.sorting_rules:
            destination = self.sorting_rules[flight.flight_number]
            baggage.destination = destination
            return f"Baggage {baggage.baggage_id} sorted for Flight {flight.flight_number} to {destination}."
        else:
            return f"Sorting rule not found for Flight {flight.flight_number}."

# Security Screening: Integration with baggage screening systems to ensure security checks are performed accurately and efficiently.

class SecurityScreeningSystem:
    def __init__(self):
        pass
        
    def perform_security_check(self, baggage):
        # Logic for performing security checks on baggage
        return f"Security check completed for Baggage {baggage.baggage_id}."

# Usage example:

# Initialize the systems
baggage_tracking_system = BaggageTrackingSystem()
baggage_sorting_system = BaggageSortingSystem()
security_screening_system = SecurityScreeningSystem()

# Create a Baggage object
baggage1 = Baggage(baggage_id="B1234", weight=25, passenger_name="John Doe", destination="")

# Create a Flight object
flight1 = Flight(flight_number="AA123", destination="LHR")

# Add a sorting rule for Flight AA123
baggage_sorting_system.add_sorting_rule(flight1, "LHR")

# Track the current status of the baggage
print(baggage_tracking_system.track_baggage(baggage1))  # Output: "Baggage not found."

# Check-in the baggage and sort it based on the destination flight
baggage_sorting_system.sort_baggage(baggage1, flight1)
print(baggage1.destination)  # Output: "LHR"

# Perform security screening on the baggage
security_screening_system.perform_security_check(baggage1)  # Output: "Security check completed for Baggage B1234."

# Update the baggage status after security check
baggage_tracking_system.update_baggage_status(baggage1, "Security Check Completed")

# Track the current status of the baggage
print(baggage_tracking_system.track_baggage(baggage1))  # Output: "Security Check Completed"