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

508 lines
12 KiB
Markdown

# 📊 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:**
```typescript
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:**
```typescript
{
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:**
```typescript
{
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:**
```typescript
{
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:**
```typescript
{
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:**
```typescript
{
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:**
```typescript
{
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 ✅
- [x] Main Dashboard with dummy data
- [x] Dummy data toggle system
- [x] 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)