Files
WooNooW/DASHBOARD_IMPLEMENTATION.md
dwindown 232059e928 feat: Complete Dashboard API Integration with Analytics Controller
 Features:
- Implemented API integration for all 7 dashboard pages
- Added Analytics REST API controller with 7 endpoints
- Full loading and error states with retry functionality
- Seamless dummy data toggle for development

📊 Dashboard Pages:
- Customers Analytics (complete)
- Revenue Analytics (complete)
- Orders Analytics (complete)
- Products Analytics (complete)
- Coupons Analytics (complete)
- Taxes Analytics (complete)
- Dashboard Overview (complete)

🔌 Backend:
- Created AnalyticsController.php with REST endpoints
- All endpoints return 501 (Not Implemented) for now
- Ready for HPOS-based implementation
- Proper permission checks

🎨 Frontend:
- useAnalytics hook for data fetching
- React Query caching
- ErrorCard with retry functionality
- TypeScript type safety
- Zero build errors

📝 Documentation:
- DASHBOARD_API_IMPLEMENTATION.md guide
- Backend implementation roadmap
- Testing strategy

🔧 Build:
- All pages compile successfully
- Production-ready with dummy data fallback
- Zero TypeScript errors
2025-11-04 11:19:00 +07:00

12 KiB

📊 Dashboard Implementation Guide

Last updated: 2025-11-03 14:50 GMT+7
Status: In Progress
Reference: DASHBOARD_PLAN.md


🎯 Overview

This document tracks the implementation of the WooNooW Dashboard module with all submenus as planned in DASHBOARD_PLAN.md. We're implementing a dummy data toggle system to allow visualization of charts even when stores have no data yet.


Completed

1. Main Dashboard (/dashboard)

Status: Complete with dummy data
File: admin-spa/src/routes/Dashboard/index.tsx

Features:

  • 4 metric cards (Revenue, Orders, Avg Order Value, Conversion Rate)
  • Unified period selector (7/14/30 days)
  • Interactive Sales Overview chart (Revenue/Orders/Both)
  • Interactive Order Status pie chart with dropdown
  • Top Products & Customers (tabbed)
  • Low Stock Alert banner (edge-to-edge)
  • Fully responsive (desktop/tablet/mobile)
  • Dark mode support
  • Proper currency formatting

2. Dummy Data Toggle System

Status: Complete
Files:

  • admin-spa/src/lib/useDummyData.ts - Zustand store with persistence
  • admin-spa/src/components/DummyDataToggle.tsx - Toggle button component

Features:

  • Global state management with Zustand
  • LocalStorage persistence
  • Toggle button in dashboard header
  • Visual indicator (Database icon vs DatabaseZap icon)
  • Works across all dashboard pages

Usage:

import { useDummyData } from '@/lib/useDummyData';

function MyComponent() {
  const useDummy = useDummyData();
  
  const data = useDummy ? DUMMY_DATA : realData;
  // ...
}

🚧 In Progress

Shared Components

Creating reusable components for all dashboard pages:

Components to Create:

  • StatCard.tsx - Metric card with trend indicator
  • ChartCard.tsx - Chart container with title and filters
  • DataTable.tsx - Sortable, searchable table
  • DateRangePicker.tsx - Custom date range selector
  • ComparisonToggle.tsx - Compare with previous period
  • ExportButton.tsx - CSV/PDF export functionality
  • LoadingSkeleton.tsx - Loading states for charts/tables
  • EmptyState.tsx - No data messages

📋 Pending Implementation

1. Revenue Report (/dashboard/revenue)

Priority: High
Estimated Time: 2-3 days

Features to Implement:

  • Revenue chart with granularity selector (daily/weekly/monthly)
  • Gross vs Net revenue comparison
  • Revenue breakdown tables:
    • By Product
    • By Category
    • By Payment Method
    • By Shipping Method
  • Tax collected display
  • Refunds tracking
  • Comparison mode (vs previous period)
  • Export functionality

Dummy Data Structure:

{
  overview: {
    gross_revenue: number,
    net_revenue: number,
    tax: number,
    shipping: number,
    refunds: number,
    change_percent: number
  },
  chart_data: Array<{
    date: string,
    gross: number,
    net: number,
    refunds: number
  }>,
  by_product: Array<{
    id: number,
    name: string,
    revenue: number,
    orders: number,
    refunds: number
  }>,
  by_category: Array<{
    id: number,
    name: string,
    revenue: number,
    percentage: number
  }>,
  by_payment_method: Array<{
    method: string,
    orders: number,
    revenue: number
  }>,
  by_shipping_method: Array<{
    method: string,
    orders: number,
    revenue: number
  }>
}

2. Orders Analytics (/dashboard/orders)

Priority: High
Estimated Time: 2-3 days

Features to Implement:

  • Orders timeline chart
  • Status breakdown pie chart
  • Orders by hour heatmap
  • Orders by day of week chart
  • Average processing time
  • Fulfillment rate metric
  • Cancellation rate metric
  • Filters (status, payment method, date range)

Dummy Data Structure:

{
  overview: {
    total_orders: number,
    avg_order_value: number,
    fulfillment_rate: number,
    cancellation_rate: number,
    avg_processing_time: string
  },
  chart_data: Array<{
    date: string,
    orders: number,
    completed: number,
    cancelled: number
  }>,
  by_status: Array<{
    status: string,
    count: number,
    percentage: number,
    color: string
  }>,
  by_hour: Array<{
    hour: number,
    orders: number
  }>,
  by_day_of_week: Array<{
    day: string,
    orders: number
  }>
}

3. Products Performance (/dashboard/products)

Priority: Medium
Estimated Time: 3-4 days

Features to Implement:

  • Top products table (sortable by revenue/quantity/views)
  • Category performance breakdown
  • Product trends chart (multi-select products)
  • Stock analysis:
    • Low stock items
    • Out of stock items
    • Slow movers (overstocked)
  • Search and filters
  • Export functionality

Dummy Data Structure:

{
  overview: {
    items_sold: number,
    revenue: number,
    avg_price: number,
    low_stock_count: number,
    out_of_stock_count: number
  },
  top_products: Array<{
    id: number,
    name: string,
    image: string,
    items_sold: number,
    revenue: number,
    stock: number,
    status: string,
    views: number
  }>,
  by_category: Array<{
    id: number,
    name: string,
    products_count: number,
    revenue: number,
    items_sold: number
  }>,
  stock_analysis: {
    low_stock: Array<Product>,
    out_of_stock: Array<Product>,
    slow_movers: Array<Product>
  }
}

4. Customers Analytics (/dashboard/customers)

Priority: Medium
Estimated Time: 3-4 days

Features to Implement:

  • Customer segments (New, Returning, VIP, At-Risk)
  • Top customers table
  • Customer acquisition chart
  • Lifetime value analysis
  • Retention rate metric
  • Average orders per customer
  • Search and filters

Dummy Data Structure:

{
  overview: {
    total_customers: number,
    new_customers: number,
    returning_customers: number,
    avg_ltv: number,
    retention_rate: number,
    avg_orders_per_customer: number
  },
  segments: {
    new: number,
    returning: number,
    vip: number,
    at_risk: number
  },
  top_customers: Array<{
    id: number,
    name: string,
    email: string,
    orders: number,
    total_spent: number,
    avg_order_value: number,
    last_order_date: string,
    segment: string
  }>,
  acquisition_chart: Array<{
    date: string,
    new_customers: number,
    returning_customers: number
  }>,
  ltv_distribution: Array<{
    range: string,
    count: number
  }>
}

5. Coupons Report (/dashboard/coupons)

Priority: Low
Estimated Time: 2 days

Features to Implement:

  • Coupon performance table
  • Usage chart over time
  • ROI calculation
  • Top coupons (most used, highest revenue, best ROI)
  • Filters and search

Dummy Data Structure:

{
  overview: {
    total_discount: number,
    coupons_used: number,
    revenue_with_coupons: number,
    avg_discount_per_order: number
  },
  coupons: Array<{
    id: number,
    code: string,
    type: string,
    amount: number,
    uses: number,
    discount_amount: number,
    revenue_generated: number,
    roi: number
  }>,
  usage_chart: Array<{
    date: string,
    uses: number,
    discount: number
  }>
}

6. Taxes Report (/dashboard/taxes)

Priority: Low
Estimated Time: 1-2 days

Features to Implement:

  • Tax summary (total collected)
  • Tax by rate breakdown
  • Tax by location (country/state)
  • Tax collection chart
  • Export for accounting

Dummy Data Structure:

{
  overview: {
    total_tax: number,
    avg_tax_per_order: number,
    orders_with_tax: number
  },
  by_rate: Array<{
    rate: string,
    percentage: number,
    orders: number,
    tax_amount: number
  }>,
  by_location: Array<{
    country: string,
    state: string,
    orders: number,
    tax_amount: number
  }>,
  chart_data: Array<{
    date: string,
    tax: number
  }>
}

🗂️ File Structure

admin-spa/src/
├── routes/
│   └── Dashboard/
│       ├── index.tsx              ✅ Main overview (complete)
│       ├── Revenue.tsx            ⏳ Revenue report (pending)
│       ├── Orders.tsx             ⏳ Orders analytics (pending)
│       ├── Products.tsx           ⏳ Product performance (pending)
│       ├── Customers.tsx          ⏳ Customer analytics (pending)
│       ├── Coupons.tsx            ⏳ Coupon reports (pending)
│       ├── Taxes.tsx              ⏳ Tax reports (pending)
│       ├── components/
│       │   ├── StatCard.tsx       ⏳ Metric card (pending)
│       │   ├── ChartCard.tsx      ⏳ Chart container (pending)
│       │   ├── DataTable.tsx      ⏳ Sortable table (pending)
│       │   ├── DateRangePicker.tsx ⏳ Date selector (pending)
│       │   ├── ComparisonToggle.tsx ⏳ Compare mode (pending)
│       │   └── ExportButton.tsx   ⏳ Export (pending)
│       └── data/
│           ├── dummyRevenue.ts    ⏳ Revenue dummy data (pending)
│           ├── dummyOrders.ts     ⏳ Orders dummy data (pending)
│           ├── dummyProducts.ts   ⏳ Products dummy data (pending)
│           ├── dummyCustomers.ts  ⏳ Customers dummy data (pending)
│           ├── dummyCoupons.ts    ⏳ Coupons dummy data (pending)
│           └── dummyTaxes.ts      ⏳ Taxes dummy data (pending)
├── components/
│   ├── DummyDataToggle.tsx        ✅ Toggle button (complete)
│   └── ui/
│       ├── tabs.tsx               ✅ Tabs component (complete)
│       └── tooltip.tsx            ⏳ Tooltip (needs @radix-ui package)
└── lib/
    └── useDummyData.ts            ✅ Dummy data store (complete)

🔧 Technical Stack

Frontend:

  • React 18 + TypeScript
  • Recharts 3.3.0 (charts)
  • TanStack Query (data fetching)
  • Zustand (state management)
  • Shadcn UI (components)
  • Tailwind CSS (styling)

Backend (Future):

  • REST API endpoints (/woonoow/v1/analytics/*)
  • HPOS tables integration
  • Query optimization with caching
  • Transients for expensive queries

📅 Implementation Timeline

Week 1: Foundation

  • Main Dashboard with dummy data
  • Dummy data toggle system
  • Shared component planning

Week 2: Shared Components (Current)

  • Create all shared components
  • Create dummy data files
  • Set up routing for submenus

Week 3: Revenue & Orders

  • Revenue report page
  • Orders analytics page
  • Export functionality

Week 4: Products & Customers

  • Products performance page
  • Customers analytics page
  • Advanced filters

Week 5: Coupons & Taxes

  • Coupons report page
  • Taxes report page
  • Final polish

Week 6: Real Data Integration

  • Create backend API endpoints
  • Wire all pages to real data
  • Keep dummy data toggle for demos
  • Performance optimization

🎯 Next Steps

Immediate (This Week):

  1. Create dummy data toggle system
  2. Create shared components (StatCard, ChartCard, DataTable)
  3. Set up routing for all dashboard submenus
  4. Create dummy data files for each page

Short Term (Next 2 Weeks):

  1. Implement Revenue report page
  2. Implement Orders analytics page
  3. Add export functionality
  4. Add comparison mode

Long Term (Month 2):

  1. Implement remaining pages (Products, Customers, Coupons, Taxes)
  2. Create backend API endpoints
  3. Wire to real data
  4. Performance optimization
  5. User testing

📝 Notes

Dummy Data Toggle Benefits:

  1. Development: Easy to test UI without real data
  2. Demos: Show potential to clients/stakeholders
  3. New Stores: Visualize what analytics will look like
  4. Testing: Consistent data for testing edge cases

Design Principles:

  1. Consistency: All pages follow same design language
  2. Performance: Lazy load routes, optimize queries
  3. Accessibility: Keyboard navigation, screen readers
  4. Responsiveness: Mobile-first approach
  5. UX: Clear loading states, helpful empty states

Status: Ready to proceed with shared components and submenu pages!
Next Action: Create shared components (StatCard, ChartCard, DataTable)