v2.15.0 — AI Recipe & Expiry Warning Overhaul

What's Changed

• feat: v2.12.0 — AI recipe engine, food service, stats by @WuSuBuDuoMing in #2

New Contributors

• @WuSuBuDuoMing made their first contribution in #2

Full Changelog: v2.9.0...v2.15.0

v2.12.0 — AI Recipe, Food Service, Stats

v2.12.0 (2026-06-22)

Changed

• AI recipe engine improvements (modular architecture, dynamic recommendations)
• Food service enhancements (smart expiry tracking, batch operations)
• Stats service (consumption trends, category analytics)
• Expiry page UX improvements
• Date utils fixes
• 9 files, +692/-61 lines

v2.9.0 — Community Docs & README Overhaul

v2.9.0 — Community Docs & README Overhaul (2026-06-18)

Documentation

• Complete English README overhaul with Table of Contents, feature table, architecture section, installation guide, project structure, and configuration docs
• Added CONTRIBUTING.md with development workflow, commit convention, PR process, and style guide
• Upgraded CODE_OF_CONDUCT.md to full Contributor Covenant v2.0
• Enhanced SECURITY.md with supported versions table, reporting process, scope, and best practices

CI/CD

• Expanded GitHub Actions CI pipeline with 5 new validation steps

Code Quality

• Enhanced JSDoc annotations on all core service and utility modules
• Added @file, @module, @Version metadata to all key modules

Links

• README
• CONTRIBUTING
• LICENSE (MIT)

v2.6.0 - Community Governance & Funding

What's Changed

• Added CODE_OF_CONDUCT.md (Contributor Covenant v2.1)
• Added .github/FUNDING.yml with GitHub Sponsors
• Added CODEOWNERS file
• Created Issue templates (Bug Report + Feature Request)
• Created Pull Request template
• Updated CHANGELOG.md

v2.4.0 - Security & Documentation

v2.4.0 - Security policy, documentation enhancements, open-source best practices

• Added SECURITY.md with vulnerability reporting policy
• Updated CHANGELOG.md with new version entry

v2.2.0 - Local optimization, CHANGELOG sync, documentation updates

Local optimization, CHANGELOG sync, documentation updates

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

v2.0.0 - Community & Smart Shopping

🧊 FreshKeeper v2.0.0

Planned Features

• Community recipe sharing
• Supermarket price comparison
• Voice input for food entry
• Smart shopping recommendations (based on history)
• Nutritional tracking per dish

v1.2.0 - Real AI API & Food Recognition

🧊 FreshKeeper v1.2.0

Planned Features

• Real AI API integration (GPT/Claude) for recipe generation
• Food recognition (photo auto-entry)
• Nutrition analysis reports
• Family member shared fridge

v1.1.0 - Backend API & Image Upload

🧊 FreshKeeper v1.1.0

Planned Features

• Real backend API integration
• Image upload (photo recognition for food items)
• WeChat subscription message push for expiry alerts
• Data cloud sync across devices