M-T-B-A/business-operator-frontend/docs/TASK_3_COMPLETION.md

Task 3 Completion Report: Mock数据生成器

Overview

Successfully implemented comprehensive mock data generators for the merchant portal prototype. All generators produce realistic Chinese data that conforms to the defined model interfaces.

Completed Components

1. Name Generator (name.generator.ts)

• ✅ Implemented Chinese surname database (40 common surnames)
• ✅ Implemented given name database (50+ common names)
• ✅ Implemented double-character given names (50+ combinations)
• ✅ 70% probability for double-character names, 30% for single-character
• ✅ Function to generate unique names in bulk

2. Address Generator (address.generator.ts)

• ✅ Implemented 10 provinces with their cities
• ✅ Realistic district names
• ✅ Street names and building types
• ✅ Complete address structure (province/city/district/address)
• ✅ Chinese mobile phone number generator (11 digits, valid prefixes)

3. Product Generator (product.generator.ts)

• ✅ 50+ realistic Chinese product titles across 6 categories
• ✅ Product categories with hierarchical paths
• ✅ Product subtitles and descriptions
• ✅ Random price generation (100-9100 yuan)
• ✅ Random stock and sales numbers
• ✅ 3-5 product images per product
• ✅ 80% OnShelf, 20% OffShelf status distribution
• ✅ Realistic creation and update timestamps

4. Order Generator (order.generator.ts)

• ✅ Order items generation (1-3 items per order)
• ✅ Complete shipping information with Chinese addresses
• ✅ All order statuses supported (PendingPayment, PendingShipment, Shipped, Completed, Cancelled)
• ✅ Automatic calculation of subtotal, shipping fee, and total
• ✅ Free shipping over 99 yuan
• ✅ Buyer remarks (60% probability)
• ✅ Logistics company and tracking number for shipped orders
• ✅ Realistic timestamps based on order status
• ✅ 10 major Chinese logistics companies

5. Refund Generator (refund.generator.ts)

• ✅ 15 common refund reasons in Chinese
• ✅ Detailed refund descriptions
• ✅ Two refund types: OnlyRefund (70%), ReturnGoods (30%)
• ✅ Three refund statuses: Pending, Approved, Rejected
• ✅ Optional refund images (0-3 images)
• ✅ Rejection reasons for rejected refunds
• ✅ Realistic processing timestamps

6. Chat Generator (chat.generator.ts)

• ✅ 20 common customer messages in Chinese
• ✅ 20 common merchant responses in Chinese
• ✅ 5 system messages
• ✅ Chat session generation with unread counts
• ✅ Message generation with proper sender types (60% customer, 35% merchant, 5% system)
• ✅ Support for text, image, and product content types
• ✅ 10% probability for image messages
• ✅ 15% probability for product cards in merchant messages
• ✅ Context products generation (products customer is viewing)

7. Dashboard Generator (dashboard.generator.ts)

• ✅ Dashboard metrics with realistic numbers
• ✅ Trend indicators (-20% to +50%)
• ✅ Sales chart data generation for N days
• ✅ Upward trend simulation with randomness
• ✅ 15 types of system notices in Chinese
• ✅ Notice content generation
• ✅ Notice type classification (info, warning, success)
• ✅ 70% read, 30% unread distribution

File Structure

src/app/mock/data/
├── name.generator.ts          # Chinese name generation
├── address.generator.ts       # Chinese address and phone generation
├── product.generator.ts       # Product data generation
├── order.generator.ts         # Order data generation
├── refund.generator.ts        # Refund data generation
├── chat.generator.ts          # Chat session and message generation
├── dashboard.generator.ts     # Dashboard metrics generation
├── index.ts                   # Export all generators
├── README.md                  # Documentation
└── verify-generators.ts       # Verification script

Key Features

Data Quality

• All data is in Chinese (names, addresses, product titles, messages)
• Realistic distributions and probabilities
• Proper data relationships (orders reference products, refunds reference orders)
• Consistent data formats

Flexibility

• Optional parameters for custom IDs
• Status filtering support
• Configurable quantities
• Timestamp generation based on realistic timelines

Compliance

• All generated data conforms to model interfaces in src/app/core/models/
• No TypeScript compilation errors
• Ready for integration with mock services

Validation

✅ All generator files compile without errors ✅ All generators produce data matching model interfaces ✅ Chinese text properly encoded ✅ Realistic data distributions ✅ Proper data relationships maintained

Requirements Validation

Requirement 23.4: ✅ COMPLETED

• Generate realistic mock data including Chinese names, addresses, and product information
• All generators produce authentic Chinese data
• Data is suitable for prototype development and testing

Next Steps

These generators are ready to be used by mock services in Task 4:

• MockProductService
• MockOrderService
• MockRefundService
• MockChatService
• MockDashboardService

Notes

• Generators use Math.random() for variety in generated data
• Image URLs use placeholder service (picsum.photos and pravatar.cc)
• All timestamps are relative to current date for realistic data
• Generators are stateless and can be called multiple times
• No external dependencies required

Testing

A verification script (verify-generators.ts) has been created to manually test all generators. The script demonstrates:

• Each generator produces valid output
• Data conforms to expected formats
• Chinese text is properly handled
• All required fields are populated

Conclusion

Task 3 has been successfully completed. All seven mock data generators are implemented, tested, and ready for use in the mock service layer. The generators produce high-quality, realistic Chinese data that will enable effective prototype development and testing.