Java unit testing best practices for complex business logic
#1
I'm working on a Java application with complex business logic, and I'm struggling to write effective unit tests. The code has lots of dependencies, database interactions, and external service calls, which makes testing challenging.

Here's an example of the kind of code I'm trying to test:
```java
@Service
public class OrderService {
@Autowired
private PaymentGateway paymentGateway;
@Autowired
private InventoryService inventoryService;
@Autowired
private EmailService emailService;
@Autowired
private OrderRepository orderRepository;

public Order processOrder(OrderRequest request) throws OrderException {
// Complex validation logic
validateOrder(request);

// Check inventory
boolean inStock = inventoryService.checkStock(request.getItems());
if (!inStock) {
throw new OrderException("Items out of stock");
}

// Process payment
PaymentResult payment = paymentGateway.processPayment(request.getPayment());
if (!payment.isSuccessful()) {
throw new OrderException("Payment failed");
}

// Create order
Order order = createOrder(request, payment);
orderRepository.save(order);

// Send confirmation
emailService.sendOrderConfirmation(order);

return order;
}
}
```

My Java troubleshooting guide questions about testing:
1. How do I effectively mock all these dependencies?
2. What are the best patterns for testing exception scenarios?
3. How do I test database interactions without hitting a real database?
4. What tools (Mockito, JUnit 5, etc.) work best for complex testing scenarios?

I'm looking for software development questions answers about testing strategies that work in real-world applications. Specifically:

1. How much mocking is too much mocking?
2. What's the balance between unit tests and integration tests?
3. How do I test code with lots of conditional logic?
4. What are common testing anti-patterns to avoid?

This feels like one of those coding errors and fixes areas where good testing could prevent many issues. I'd appreciate any code review and feedback on testing approaches or recommendations for resources that focus on practical testing strategies rather than just basic examples.
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