Backend Architecture

The server-side infrastructure utilizes Spring Boot to streamline the development lifecycle. By embedding an HTTP container directly within the application archive, external setup steps are eliminated. The framework employs auto-configuration logic that adapts bean creation based on available classpath dependencies, significantly reducing manual XML or Java config efforts.

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;

@SpringBootApplication(scanBasePackages = {"com.delivery.core"})
@RestController
public class ServiceBootStrap {

    public static void main(String[] args) {
        SpringApplication.run(ServiceBootStrap.class, args);
    }

    @GetMapping("/api/v1/ping")
    public String healthStatus() {
        return "Server Operational";
    }
}

This entry point initializes the context and exposes a REST endpoint. When executed, the internal container listens on a default port, allowing client applications to invoke service methods via standard HTTP protocols.

Frontend Implementation

The user interface leverages Vue.js for efficient state management and component-based architecture. Its Virtual DOM implementation optimizes rendering performance by minimizing direct manipulation of the browser document tree. Reactivity ensures that changes in data models automatically reflect in the visual layer.

const appInstance = new Vue({
  el: '#menu-container',
  data: {
    dishList: [
      { id: 1, name: 'Special Burger', price: 15.00 },
      { id: 2, name: 'Veggie Pizza', price: 12.50 }
    ],
    selectedDish: null
  },
  watch: {
    selectedDish(newVal) {
      console.log('Selected item changed:', newVal.name);
    }
  }
});

In this example, the application binds the root div to the Vue instance. Data properties define initial state, while watchers monitor specific values for side effects. This pattern supports rapid UI updates without explicit DOM calls.

Persistence Layer

Data acccess is managed through MyBatis, which decouples SQL execution from Java business logic. Mappings are defined either via annotations or external configuration files, enabling flexible query construction with out hardcoding SQL strings in the codebase. Dynamic statement support allows conditional clause generation based on runtime parameters.

Authentication & Security

Security mechanisms involve token-based validation to protect protected resources. The system verifies credentials upon login and issues a session token for subsequent requests.

@PostMapping(value = "/auth/signin")
public AuthResponse authenticateUser(String inputUsername, String inputPass, HttpServletRequest httpRequest) {
    UserProfile userRecord = userService.findByUsername(inputUsername);
    if (userRecord == null || !passwordEncoder.matches(inputPass, userRecord.getPasswordHash())) {
        throw new AuthenticationException("Invalid credentials provided");
    }
    String authKey = jwtFactory.issueToken(userRecord.getUserId(), userRecord.getRoleCode());
    return new AuthResponse(true, authKey);
}

@Component
public class ApiRequestFilter implements HandlerInterceptor {
    private static final String HEADER_AUTH_KEY = "X-Auth-Token";

    @Override
    public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) throws Exception {
        response.setHeader("Access-Control-Allow-Origin", "*");
        if (request.getMethod().equals(Option)) {
            return true;
        }

        TokenValidationValidator validator = new TokenValidationValidator();
        if (!validator.isValid(request.getHeader(HEADER_AUTH_KEY))) {
            response.sendError(HttpServletResponse.SC_UNAUTHORIZED, "Authentication required");
            return false;
        }
        return true;
    }
}

The filter intercepts incoming requests to verify the presence and validity of the authorization header. If the token is missing or expired, the request is rejected immediately.

Database Schema Design

Persistent storage is modeled using relational tables optimized for transactional integrity.

CREATE TABLE menu_items (
  id INT PRIMARY KEY AUTO_INCREMENT,
  title VARCHAR(100) NOT NULL,
  unit_price DECIMAL(10, 2) NOT NULL,
  category_tag VARCHAR(50),
  image_ref_url TEXT,
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);```

This structure stores product information including identifiers, pricing, categorical classification, and media references.

# Quality Assurance

System verification focuses on black-box testing methodologies where internal structures are unknown to the tester. Functional modules are validated against requirement specifications to ensure logical consistency.

## Login Module Verification

Users must supply valid credentials to access restricted areas. Failure conditions trigger appropriate error feedback.

| Input Scenario | Expected Behavior | Observed Result |
| :--- | :--- | :--- |
| Valid Credentials | Session Created | Success |
| Incorrect Password | Error Message | Rejection |
| Empty Username | Validation Alert | Form Lock |

## Inventory Management Tests

Operations such as adding items or modifying records undergo rigorous checks for data integrity.

1. **Add Item**: Verifies constraints prevent duplicate entries or empty mandatory fields.
2. **Modify Item**: Ensures existing records update correctly without orphaning related data.
3. **Delete Item**: Confirms soft-delete or cascading rules are applied safely.

Successful test cycles confirm that the platform meets functional requirements and maintains stability under standard operational conditions.