CODESAMPLE
Microservices - Python
The Microservices pattern structures an application as a collection of loosely coupled, independently deployable services, modeled around a business domain. Each service owns its data and communicates via lightweight mechanisms, often an HTTP resource API. This example demonstrates a simplified order and customer service. The OrderService handles order creation, while CustomerService manages customer details. They communicate via HTTP requests using the requests library. This approach aligns with Python’s flexibility and ease of use for building APIs, leveraging its web frameworks (like Flask, used here) for service implementation and standard libraries for communication.
# order_service.py
from flask import Flask, request, jsonify
app = Flask(__name__)
orders = {}
order_id_counter = 1
@app.route('/orders', methods=['POST'])
def create_order():
global order_id_counter
customer_id = request.json.get('customer_id')
if not customer_id:
return jsonify({'error': 'Customer ID is required'}), 400
order_id = order_id_counter
order_id_counter += 1
orders[order_id] = {'customer_id': customer_id, 'items': request.json.get('items', [])}
return jsonify({'order_id': order_id}), 201
@app.route('/orders/<int:order_id>', methods=['GET'])
def get_order(order_id):
if order_id in orders:
return jsonify(orders[order_id])
return jsonify({'error': 'Order not found'}), 404
if __name__ == '__main__':
app.run(port=5000)
# customer_service.py
from flask import Flask, jsonify
app = Flask(__name__)
customers = {
1: {'name': 'Alice', 'email': 'alice@example.com'},
2: {'name': 'Bob', 'email': 'bob@example.com'}
}
@app.route('/customers/<int:customer_id>')
def get_customer(customer_id):
if customer_id in customers:
return jsonify(customers[customer_id])
return jsonify({'error': 'Customer not found'}), 404
if __name__ == '__main__':
app.run(port=5001)