Describe the architecture of the solution.

The solution architecture is usually built based on the requirements and tasks of the project, but in general, it can include the following levels:

1. Client layer (Frontend) — responsible for user interaction, data display, and input collection.
2. Server layer (Backend) — implements business logic, request processing, interaction with databases, and external services.
3. Data layer (Database) — stores and manages application data.

In Python projects, a multi-layer architecture with module separation is often used:

• Model module (ORM) for data handling.
• Service layer for business logic.
• Controllers or request handlers.

Design patterns such as MVC or microservices architecture are used to ensure scalability and support.

An example of a simplified Python architecture using Flask:

from flask import Flask, jsonify, request
app = Flask(__name__)

# Model
class User:
    def __init__(self, user_id, name):
        self.user_id = user_id
        self.name = name

# Service
users = {1: User(1, 'Alice'), 2: User(2, 'Bob')}

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

# Controller
@app.route('/user/<int:user_id>')
def user_profile(user_id):
    user = get_user(user_id)
    if user:
        return jsonify({'id': user.user_id, 'name': user.name})
    return jsonify({'error': 'User not found'}), 404

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

This separation facilitates project maintenance and development.