إكمال تطوير منصة

السلام عليكم،

لدي منصة إلكترونية (موقع وسيط) تم تطويرها بالكامل من الصفر باستخدام Node.js وجافا سكربت وقاعدة بيانات MySQL (الإصدار 8.4 LTS).

ارغب بالتالي :

مراجعة عمل قاعدة البيانات والتأكد من توافقها مع المشروع بنسبة 100%، مع عدم وجود أي أخطاء أو تحذيرات.

التأكد من ربط الـ API بشكل سليم واختبار جميع وظائفه.

اختبار اتصال الموقع بقاعدة البيانات والتأكد من جميع العمليات.

Technology Stack

Backend: Node.js with the Express framework forms the REST API. A MySQL database is accessed via a connection pool; queries are written directly in route handlers. Authentication uses JSON Web Tokens (JWT) with middleware to enforce role‑based permissions. The backend also includes services for machine‑learning features under the ml/ directory, cron jobs in jobs/ and scripts for seeding CMS data.

Frontend: A React application built with Vite and Tailwind CSS. Material‑UI provides the component library. Hooks and context are used for state management (e.g., useAdmin, useAuth). The front‑end is organised under src/pages by domain (admin, seller, user) and communicates with the backend via apiService and specialised services (e.g., productsService, couponsService). There is a debug view that can toggle between real API data and mock data to aid development.

Other Tools: Docker files are provided for local deployment, with an Nginx proxy for the front‑end. A docs folder contains design documents and API descriptions. The project_docs folder holds the auto‑generated documentation from prior agents.

Project Structure

workspace/ backend/ # Express server and routes config/ # Database and configuration files controllers/ # Business logic separated from routes routes/ # API route definitions grouped by module services/ # Auxiliary services (e.g., email, ML) repositories/ # Data access helpers middleware/ # JWT and role middleware ml/ # Machine learning models frontend/ src/ pages/ admin/ # Administrator dashboards and management pages seller/ # Seller dashboards and tools user/ # User‑facing pages services/ # API abstraction layer (apiService, productsService, etc.) hooks/ # Custom React hooks components/ # Shared UI components

Setup Instructions

Backend

1.

Install dependencies: npm install in workspace/backend/backend.

2.

Copy env.production.example to .env and set environment variables.

3.

Start the server: node server.js or npm run dev. The API will be available on port 3001 by default.

4.

Ensure MySQL is running and the database specified in .env is created. The check_schema.js script can be used to verify tables.

Frontend

1.

Install dependencies: npm install in workspace/frontend/frontend.

2.

Copy frontend.env.production.example to .env and set VITE_API_URL to point to the backend (e.g., http://localhost:3001).

3.

Run the development server: npm run dev.

4.

For production builds, use npm run build and serve the dist folder via Nginx or another static server.

Database Schema

The backend uses a relational schema stored in MySQL. Key tables include:

•

users – user accounts with columns such as id, full_name, email, password_hash, role_id, status, created_at and updated_at.

•

roles – defines roles (admin, seller, user) referenced by users.role_id.

•

products – items for sale or auction (id, title, description, price, stock, status, user_id, category_id, created_at).

•

orders – purchase orders (id, order_number, user_id, total_amount, status, created_at).

•

categories – product categories with possible hierarchical relationships (category_id, parent_category_id, category_name, is_active).

•

coupons, affiliate_settings, commissions, notifications, etc. for marketing and operational features.

Refer to the backend/routes/dashboard.js and other route files for examples of how counts and metrics are calculated directly from tables.

API Endpoints (Selected)

Endpoints are organised by module under /api. Examples include:

•

Authentication: POST /api/auth/register, POST /api/auth/login, GET /api/auth/me.

•

Users: GET /api/users/ (list users – admin only), GET /api/users/:id (self or admin), GET /api/users/stats.

•

Orders: GET /api/orders/, POST /api/orders/, PUT /api/orders/:id/status (admin), GET /api/orders/stats/summary.

•

Products: GET /api/products/, GET /api/products/:id, POST /api/products/, PUT /api/products/:id, GET /api/products/stats/summary.

•

Categories: GET /api/categories/, POST /api/categories/, PUT /api/categories/:id, GET /api/categories/tree/all.

•

Dashboard: GET /api/dashboard/stats – returns aggregated statistics for the admin dashboard including total users, sellers, products, orders, revenue and trends.

Refer to the backend routes folder and ENDPOINTS.md for a complete list.

Completed Work

Based on examination of the actual source code:

1.

Dashboard Integration: The Dashboard.js page in the admin portal fetches statistics from the /api/dashboard/stats endpoint. The corresponding route in the backend queries the database to compute totals for users, sellers, products, orders and revenue, and returns recent orders and sales trends. This demonstrates working integration between the dashboard and the database.

2.

Product Management: The useProductsData hook imports productsService and calls getAllProducts to fetch products from the API. The hook then exposes functions to create, update and delete products using the same service. The service itself wraps apiService.get('/products') and related methods, handling filtering, pagination and local statistics. This confirms that product listing and CRUD operations are connected to the backend.

3.

Orders and Inventory: Services such as ordersService, inventoryService, shippingService and couponsService use apiService to call /orders, /inventory/reports/..., /shipping/methods and /coupons respectively. Admin pages import these services to display orders, manage shipping methods and view inventory reports. The presence of actual API calls indicates integration rather than static data.

4.

Coupons and Promotions: The couponsService calls apiService.get('/coupons', filters) to fetch all coupons and normalises the fields. Admin pages for coupons use this service to list, create, update and delete coupons.

5.

Partial Category Management: The admin categories page retrieves the list of categories from the API via categoriesService. While statistics on active/inactive categories are still computed locally, the core CRUD operations (listing, creating, editing and deleting categories) are connected to the backend.

6.

Authentication and User Management: There are working endpoints for registration, login and token verification. Admin pages use usersService to fetch users and roles; the debug view can toggle between real API data and mock data for testing.

These implemented components account for a significant portion of the administration portal and core e‑commerce functionality.

Work Remaining

Despite the progress above, a review of the front‑end code reveals numerous TODO comments marking sections still awaiting real API integration. Key outstanding areas include:

1.

Category Statistics: In the admin categories page, all statistical cards (total categories, active categories, main/sub categories, inactive categories) have comments indicating the need to “connect with real statistics API”. The current implementation computes values locally and does not retrieve aggregated statistics from the backend.

2.

Security and Finance Modules: Admin pages for security dashboards, security alerts, commissions, bank transfers and system monitoring contain TODO markers to replace placeholder data with actual API calls. For example, the security dashboard displays hard‑coded charts and must be connected to endpoints that report security incidents, backups and financial transactions.

3.

Messaging and Notifications: The messages monitoring page and notifications management for administrators include TODO notes to substitute mock lists with data from an API. The notification service itself supports API calls, but some pages still rely on sample data pending integration.

4.

Seller Tools: Many seller‑specific pages remain incomplete. For instance, SellerReturnRequests currently creates an empty list and displays messages stating “TODO: connect to API to fetch return requests”; ratings management and affiliate settings likewise note that seller IDs should come from the authenticated user context and that requests to fetch ratings, affiliate withdrawals and report exports need real endpoints.

5.

User‑Facing Features: User pages such as notifications, tickets and profile sections include numerous comments instructing developers to fetch real data from the API. Completed orders count, favourite products count, address lists and profile pictures are currently set to default values until proper endpoints are used.

6.

Admin Summaries: The /api/admin/* routes listed in ENDPOINTS.md return mock responses (e.g., overview, pending orders, recent transactions). These need to be implemented against the database or other services so that summaries displayed in admin widgets are accurate.

Overall, a rough estimate from the code suggests that roughly 40 % of the administrator pages have fully working back‑end integration. The remaining features—especially those concerning security, financial operations, messaging, seller dashboards and detailed user interactions—still require development of corresponding API endpoints and updates to front‑end services to consume them.

Developer Notes and Recommendations

•

Adhere to Role‑Based Access: The backend enforces role checks via middleware (e.g., authenticateToken and requireAdmin). When implementing new endpoints for seller or user pages, ensure that proper authorisation checks are in place.

•

Use apiService Abstractions: The apiService wrapper centralises HTTP calls, automatically adding the authentication token and handling errors. When adding new services, extend from apiService rather than using fetch or axios directly.

•

Implement Missing Endpoints: Review all TODO comments in front‑end pages and backend route files to identify missing endpoints. Create corresponding routes, controllers and database queries. Update the front‑end services to call these endpoints.

•

Database Migrations: Consider using a migration tool (e.g., Knex, Sequelize or Drizzle ORM) to manage schema changes. The existing check_schema.js script provides a starting point but does not handle migrations.

•

Documentation Updates: Once new features are implemented, update ENDPOINTS.md and regenerate the documentation to ensure that developers and stakeholders have an accurate reference.