Strip emoji from docs, fix XSS/hashing vulnerabilities, remediate all failing CI checks (#1)
* Initial plan * Fix security vulnerabilities: MD5→SHA-256, XSS via dangerouslySetInnerHTML/innerHTML, insecure randomness, CodeQL config Co-authored-by: TLimoges33 <125313326+TLimoges33@users.noreply.github.com> * Clean up README: remove decorative emojis for a professional tone Remove all emojis from section headers, list item prefixes, and decorative positions. Replace ✅ phase status markers with '(Complete)' text. Keep the ⭐ in the final call-to-action line. No changes to links, badges, code blocks, or technical content. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs: remove emoji characters from CONTRIBUTING.md Remove all emoji from section headers and closing line while preserving links, code blocks, and technical content. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs: remove emoji characters from documentation files Remove all emoji characters from 8 documentation files in docs/. Replace status-marker checkmarks (✅) with '(Done)' text. Remove decorative emojis from headers and body text entirely. Preserve emojis inside code blocks unchanged. Clean up trailing whitespace introduced by removals. Files modified: - DEPLOYMENT_GUIDE.md - IMPLEMENTATION_PLAN.md - MILESTONE_6_SUMMARY.md - PRODUCTION_ROADMAP.md - PROJECT_STATUS.md - REPOSITORY_ENHANCEMENT.md - ROADMAP.md - SECURITY_AUDIT_ROADMAP.md Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs: remove emoji characters from documentation files Remove all emoji characters from 9 markdown files while preserving code block content (box-drawing characters, indentation). Emojis removed from headers, list items, and body text across READMEs, issue templates, PR template, runbook, and mobile docs. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove excessive emoji from all documentation for professional presentation Co-authored-by: TLimoges33 <125313326+TLimoges33@users.noreply.github.com> * Fix PluginWidget initial state and remove || true from security audit steps Co-authored-by: TLimoges33 <125313326+TLimoges33@users.noreply.github.com> * Remediate all failing CI checks: update deprecated actions, fix npm vulnerabilities, fix migrations YAML Co-authored-by: SynOSdev <257853113+SynOSdev@users.noreply.github.com> * Fix all remaining CI failures: Node 18→20, fix test API contract, fix pytest version, fix Postgres health checks Co-authored-by: SynOSdev <257853113+SynOSdev@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: TLimoges33 <125313326+TLimoges33@users.noreply.github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: SynOSdev <257853113+SynOSdev@users.noreply.github.com>
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Copilot
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@@ -21,19 +21,19 @@ Promtail example:
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- See `ops/promtail-config.yml` for a basic config. Point `clients[0].url` to your Loki. Mount your app logs path to `/var/log/liferpg` or use the Docker containers json logs path as included.
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# 🧙♂️ The Wizard's Grimoire - LifeRPG Modern
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# The Wizard's Grimoire - LifeRPG Modern
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**Transform daily habits into magical practices with AI-powered automation!**
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## 🌟 Current Status: Phase 3 COMPLETE
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## Current Status: Phase 3 COMPLETE
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- ✅ **Phase 1**: Core habit tracking, gamification, user system
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- ✅ **Phase 2**: Mobile PWA, social features, real-time notifications
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- ✅ **Phase 3**: AI Integration, predictive analytics, voice/image input
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- **Phase 1**: Core habit tracking, gamification, user system
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- **Phase 2**: Mobile PWA, social features, real-time notifications
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- **Phase 3**: AI Integration, predictive analytics, voice/image input
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## 🚀 What's New in Phase 3
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## What's New in Phase 3
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### 🤖 AI-Powered Features
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### AI-Powered Features
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- **Natural Language Habit Creation**: "I want to drink 8 glasses of water daily"
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- **Predictive Analytics**: AI forecasts habit success probability
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@@ -41,14 +41,14 @@ Promtail example:
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- **Image Recognition**: Photo-based habit verification and completion
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- **Smart Suggestions**: AI-generated personalized recommendations
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### 🧠 Local AI Processing
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### Local AI Processing
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- **HuggingFace Integration**: Free, offline-capable AI models
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- **Zero API Costs**: 100% local processing for privacy and cost efficiency
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- **Sentiment Analysis**: Mood and motivation pattern recognition
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- **Pattern Recognition**: AI identifies completion trends and optimization opportunities
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## 📁 Project Structure
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## Project Structure
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```
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modern/
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@@ -65,7 +65,7 @@ modern/
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└── docs/ # Comprehensive documentation
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```
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## 🛠 Quick Start
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## Quick Start
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### 1. Install Core Dependencies
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@@ -98,7 +98,7 @@ cd frontend && npm start
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- **AI Analytics Tab**: Predictive insights and pattern analysis
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- **Voice & Image Tab**: Multimodal interactions
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## 🎯 Key Features
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## Key Features
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### Core System
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@@ -115,15 +115,15 @@ cd frontend && npm start
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- **Computer Vision**: Image-based habit verification
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- **Behavioral Analytics**: AI-driven insights and recommendations
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## 🔧 Technical Stack
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## Technical Stack
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**Backend**: FastAPI + SQLAlchemy + HuggingFace Transformers
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**Frontend**: React + Chart.js + Progressive Web App
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**AI Models**: Local PyTorch models (cardiffnlp/roberta, facebook/bart)
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**Database**: SQLite (dev) / PostgreSQL (prod)
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**Backend**: FastAPI + SQLAlchemy + HuggingFace Transformers
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**Frontend**: React + Chart.js + Progressive Web App
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**AI Models**: Local PyTorch models (cardiffnlp/roberta, facebook/bart)
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**Database**: SQLite (dev) / PostgreSQL (prod)
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**Real-time**: WebSockets + Server-Sent Events
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## 📊 Performance
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## Performance
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- **AI Response Time**: <500ms average
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- **Model Loading**: ~5-10 seconds (cached after first load)
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- **Accuracy**: 85%+ for habit parsing and classification
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- **Offline Capability**: Core AI features work without internet
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## 🚦 Development Phases
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## Development Phases
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### ✅ Phase 1: Foundation (Complete)
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### Phase 1: Foundation (Complete)
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Core habit tracking, user authentication, basic gamification
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### ✅ Phase 2: Enhancement (Complete)
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### Phase 2: Enhancement (Complete)
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Mobile PWA, social features, real-time systems, analytics
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### ✅ Phase 3: AI Integration (Complete)
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### Phase 3: AI Integration (Complete)
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HuggingFace AI, predictive analytics, voice/image input, automation
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### 🔮 Phase 4: Advanced AI (Planned)
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### Phase 4: Advanced AI (Planned)
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Custom model training, conversational AI, health integrations
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## 📖 Documentation
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## Documentation
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- `PHASE_3_COMPLETION_SUMMARY.md` - Complete Phase 3 implementation details
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- `PHASE_3_AI_README.md` - AI features technical documentation
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- `docs/` - Architecture, API, plugin system documentation
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- `ROADMAP.md` - Future development priorities
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## 🤝 Contributing
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## Contributing
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**AI/ML Contributions Welcome!**
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@@ -172,7 +172,7 @@ Custom model training, conversational AI, health integrations
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3. Run tests: `pytest backend/tests`
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4. Submit pull requests with detailed descriptions
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## 🎉 Success Metrics (Phase 3)
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## Success Metrics (Phase 3)
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- **AI Accuracy**: >85% success rate in habit parsing
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- **User Engagement**: AI features drive 30%+ increase in daily completions
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@@ -184,4 +184,4 @@ Custom model training, conversational AI, health integrations
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**LifeRPG has evolved from a simple habit tracker into an intelligent life optimization platform, powered by cutting-edge AI while maintaining complete user privacy and zero operational AI costs.**
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_Ready for production deployment and beta testing! 🚀_
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_Ready for production deployment and beta testing! _
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