v2.1.0 — Quality Optimization

Changelog

v2.1.0 — Quality Optimization (2026-06-11)

Documentation

• Rewrote README.md with English docs, badges, architecture overview, and contributing guide
• Created comprehensive README.zh-CN.md with full Chinese documentation
• Added docs/data-model.md with complete data model schema, category system, and storage key mapping

Code Quality

• Removed console.log leftovers from subscription-service.js (4 instances)
• Cleaned up junk files (test.txt, test-write.txt) from root, services/, and utils/
• Updated app.js globalData.version from 1.0.0 to 2.1.0

Test Coverage

• Added food expiry logic tests (13 tests): date-utils boundary cases, food-utils status calculation, food-service expiry queries
• Added recipe matching tests (12 tests): recommendation algorithm validation, score system, cache behavior
• Added shopping list tests (18 tests): full CRUD coverage, groupByCategory, calculateTotalPrice, addFromUsedFood

Performance

• Added debounce (200ms) to fridge page search input to reduce redundant filter operations
• Avoided redundant data reload on fridge page onShow when data is already loaded
• Identified 13/22 components unused by any page (reserved for future features)

v2.0.0 — Initial Open-Source Release (2026-06-01)

Features

• Fridge management with category filtering and search
• Food expiry alerts with tiered warnings
• Shopping list with cost estimation
• AI recipe recommendations based on fridge contents
• Weekly menu auto-generation
• Statistics and waste tracking
• Dark mode support
• Accessibility settings (font size, high contrast, color blind modes)
• i18n support (Chinese and English)
• Photo-based food recognition (mock mode)
• Data export (CSV/JSON)
• Family sharing with invite codes
• Nutrition tracking

Technical

• WeChat Mini Program native development
• Page → Service → Storage three-layer architecture
• 10 pages, 22 components, 12 service modules, 16 utility modules
• Unified API layer with interceptors, cache, retry, and cancellation