Clean up repository: Remove development documentation files

- Remove outdated development markdown files
- Remove standalone version.json file
- Preserve all core application files including Supabase integration
- Keep essential documentation (README.md, llm.txt)
- Maintain full functionality while reducing repository clutter

AUTO_SUGGESTION_INTEGRATION.md

@@ -1,179 +0,0 @@
-# TreeTrack Auto-Suggestion Integration 🌳
-
-## Overview
-We have successfully integrated a comprehensive auto-suggestion system into your TreeTrack application, providing real-time smart completion for tree species identification fields.
-
-## 🎯 What's Been Implemented
-
-### 1. Master Tree Database (`master_tree_database.py`)
-- **146 Tree Species**: Pre-loaded with comprehensive species data from Tezpur research team
-- **Multi-language Support**: Local Assamese names, scientific names, common names
-- **Tree Codes**: Reference codes for quick identification (AA, AP, AC, etc.)
-- **Fruiting Seasons**: When available, seasonal information for each species
-- **Fast Search**: Optimized database with proper indexes for quick queries
-
-### 2. Backend API Endpoints (`app.py`)
-- **`/api/tree-suggestions`**: Real-time tree name suggestions
-  - Query parameter: `query` (search term)
-  - Limit parameter: `limit` (max results, default 10)
-  - Returns: Matching suggestions with rich metadata
-  
-- **`/api/tree-codes`**: All available tree codes
-  - Returns: Complete list of valid tree reference codes
-  
-- **`/api/master-database/status`**: Database health check
-  - Returns: Species count, database size, status information
-
-### 3. Frontend JavaScript Integration (`app.js`)
-- **Real-time Search**: Debounced input with 300ms delay
-- **Smart Suggestions**: Rich dropdown with multiple data fields
-- **Auto-completion**: Keyboard navigation (arrow keys, Enter, Escape)
-- **Auto-fill**: Related fields populated automatically
-- **Visual Feedback**: Loading states, highlighting, visual cues
-
-### 4. Enhanced CSS Styling (`index.html`)
-- **Professional Dropdowns**: Clean, modern suggestion interface
-- **Responsive Design**: Works on desktop and mobile devices
-- **Accessibility**: Proper contrast, focus states, keyboard navigation
-- **Visual Hierarchy**: Primary/secondary text, badges, hover effects
-
-## 🚀 Key Features
-
-### Smart Search Algorithm
-1. **Exact Match Priority**: Exact matches appear first
-2. **Prefix Matching**: Starts-with matches ranked higher  
-3. **Partial Matching**: Contains-text matches included
-4. **Multi-field Search**: Searches across local names, scientific names, and tree codes
-
-### User Experience Enhancements
-- **Instant Feedback**: Results appear as you type (after 2+ characters)
-- **Rich Information**: Each suggestion shows multiple name variants
-- **Auto-fill Related Fields**: Selecting one field populates others
-- **Visual Confirmation**: Auto-filled fields briefly highlighted
-- **Error Handling**: Graceful fallbacks if database is unavailable
-
-### Performance Optimizations
-- **Debounced Requests**: Prevents excessive API calls
-- **Local Code Filtering**: Tree codes filtered client-side
-- **Indexed Database**: Fast full-text search capability
-- **Result Limiting**: Configurable result limits for performance
-
-## 📊 Database Statistics
-- **Total Species**: 146 tree species
-- **Unique Tree Codes**: 140 reference codes
-- **Local Names**: Assamese regional names where available
-- **Scientific Names**: Proper botanical nomenclature
-- **Seasonal Data**: Fruiting seasons for ecological tracking
-
-## 🎮 How Ground Teams Use It
-
-### 1. **Local Name Entry**
-```
-User types: "Neem"
-System shows: 
-• Neem (Azadirachta indica) [AI2]
-• Ghora neem (Melia azederach) [MA]
-```
-
-### 2. **Scientific Name Search**
-```
-User types: "Ficus"
-System shows:
-• Ficus benghalensis (Borgos) [FB] 
-• Ficus glomerata (Dimaru) [FG]
-• Ficus hispida [FH]
-```
-
-### 3. **Tree Code Validation**
-```
-User types: "AA"
-System shows:
-• AA - Abroma augusta
-• AA2 - Aeschynomene americanum  
-• AA3 - Albizia (Siris)
-```
-
-## 🔧 Technical Architecture
-
-### Backend Flow
-1. User types in form field (>= 2 characters)
-2. JavaScript debounces input (300ms)
-3. API call to `/api/tree-suggestions?query=...`
-4. Master database queried with prioritized ranking
-5. Results returned as JSON with rich metadata
-6. Frontend renders dropdown with formatted suggestions
-
-### Frontend Flow
-1. Input event triggers search
-2. Loading state displayed
-3. API response processed and formatted
-4. Dropdown populated with clickable items
-5. User selection auto-fills related fields
-6. Visual feedback confirms auto-completion
-
-## 📁 File Structure
-```
-TreeTrack/
-├── master_tree_database.py    # Species database & functions
-├── app.py                     # FastAPI with new endpoints  
-├── static/
-│   ├── index.html            # Enhanced form with CSS
-│   └── app.js               # Auto-suggestion JavaScript
-├── data/
-│   └── master_trees.db      # SQLite database (auto-created)
-└── test_autosuggest.py      # Integration tests
-```
-
-## ✅ Testing Results
-```
-🧪 Master Database: ✅ 146 species loaded
-🌐 API Endpoints: ✅ All endpoints responding  
-💻 Frontend Integration: ✅ Real-time suggestions working
-🎯 Search Quality: ✅ Relevant results prioritized
-🚀 Performance: �� Fast response times
-```
-
-## 🔮 Future Enhancements
-
-### Possible Improvements
-1. **Fuzzy Matching**: Handle typos and variations
-2. **Image Integration**: Show species photos in suggestions
-3. **Geolocation Filtering**: Prioritize species by region
-4. **Usage Analytics**: Track most searched species
-5. **Offline Support**: Cache suggestions for mobile use
-6. **Multi-language**: Support for additional local languages
-
-### API Extensions
-- **`/api/species/{code}`**: Detailed species information
-- **`/api/similar-species`**: Find taxonomically related species
-- **`/api/region-species`**: Filter by geographic region
-- **`/api/seasonal-species`**: Filter by current fruiting season
-
-## 🎉 Benefits for Ground Teams
-
-### Efficiency Gains
-- **50% Faster Data Entry**: Auto-completion reduces typing
-- **95% Accuracy**: Validated species names prevent errors
-- **Zero Training**: Intuitive interface requires no learning
-- **Mobile Friendly**: Works on phones and tablets
-
-### Data Quality Improvements
-- **Standardized Names**: Consistent scientific nomenclature
-- **Reference Codes**: Quick species identification
-- **Validation**: Prevents invalid species entries
-- **Completeness**: Related fields auto-filled
-
-## 🚀 Deployment Ready
-
-Your TreeTrack application now includes production-ready auto-suggestion functionality that will significantly improve the data collection experience for field researchers. The system is:
-
-- **Scalable**: Handles thousands of concurrent users
-- **Reliable**: Graceful error handling and fallbacks
-- **Fast**: Sub-200ms response times for suggestions
-- **Intuitive**: Natural search behavior ground teams expect
-
-The auto-suggestion system transforms TreeTrack from a basic form into an intelligent research tool that guides users toward accurate, consistent species identification while dramatically improving data entry efficiency.
-
----
-
-*Integration completed successfully! 🌳 Your ground teams now have access to intelligent tree species auto-completion powered by the comprehensive Tezpur research database.*

DEPLOYMENT_COMPLETE.md

@@ -1,155 +0,0 @@
-# 🚀 TreeTrack Deployment Complete!
-
-## ✅ Successfully Deployed Enhanced TreeTrack
-
-Your TreeTrack application with intelligent auto-suggestion features has been successfully deployed to Hugging Face Spaces!
-
-**🔗 Live Application**: https://huggingface.co/spaces/RoyAalekh/TreeTrack
-
-## 🌟 What's New in This Deployment
-
-### 🧠 Intelligent Auto-Suggestion System
-- **146 Pre-loaded Tree Species** from Tezpur research team
-- **Real-time Auto-completion** as users type (≥2 characters)
-- **Multi-language Support**: Local Assamese, Scientific, and Common names
-- **Tree Code Validation** with instant lookup (AA, AP, AC, etc.)
-- **Auto-fill Related Fields** for seamless data entry
-- **Seasonal Information** for ecological tracking
-
-### 🎯 Key Enhancements
-- **Smart Search Algorithm**: Prioritized exact matches, prefix matches, partial matches
-- **Professional UI**: Clean, modern suggestion dropdowns
-- **Keyboard Navigation**: Arrow keys, Enter, Escape support  
-- **Performance Optimized**: Debounced searches, indexed database
-- **Mobile Friendly**: Responsive design for field work
-
-### 🔧 Technical Improvements
-- **New API Endpoints**:
-  - `/api/tree-suggestions` - Species auto-suggestions
-  - `/api/tree-codes` - Tree code validation
-  - `/api/master-database/status` - Database health check
-- **Enhanced Database**: Master species database with optimized queries
-- **Advanced JavaScript**: Real-time search with visual feedback
-- **Error Handling**: Graceful fallbacks and loading states
-
-## 📊 Database Statistics
-- **Total Species**: 146 tree species loaded
-- **Unique Tree Codes**: 140 reference codes available
-- **Search Performance**: Sub-200ms response times
-- **Coverage**: Local Assamese names, scientific nomenclature
-
-## 🎮 User Experience
-Your ground teams can now:
-
-1. **Type "Neem"** → Get suggestions for "Neem" and "Ghora neem" instantly
-2. **Type "Ficus"** → See all Ficus species with local names and codes
-3. **Type "AA"** → Get all tree codes starting with "AA"
-4. **Select any suggestion** → Auto-fills related form fields
-5. **Navigate with keyboard** → Professional desktop-like experience
-
-## 🚀 Deployment Details
-
-### Commit Information
-- **Commit Hash**: `55932c9`
-- **Commit Message**: "🌳 Add intelligent auto-suggestion system with master species database"
-- **Files Changed**: 13 files (1005 insertions, 546 deletions)
-- **Status**: Successfully pushed to `origin/main`
-
-### Files Deployed
-✅ **Core Application**:
-- `app.py` - Enhanced FastAPI with new endpoints
-- `master_tree_database.py` - Species database and functions
-- `static/index.html` - Updated form with auto-suggestion CSS
-- `static/app.js` - Advanced JavaScript auto-completion
-
-✅ **Documentation**:
-- `README.md` - Updated with new features
-- `AUTO_SUGGESTION_INTEGRATION.md` - Comprehensive integration guide
-
-✅ **Configuration**:
-- `.gitignore` - Updated for database management
-- `requirements.txt` - All dependencies included
-
-🧹 **Cleanup**:
-- Removed redundant cache management files
-- Cleaned up old deployment artifacts
-- Streamlined codebase for production
-
-## 🌍 Production Ready Features
-
-### Scalability
-- **Indexed Database**: Fast queries for thousands of concurrent users
-- **Efficient API**: Optimized endpoints with result limiting
-- **Caching Strategy**: Client-side caching for tree codes
-
-### Reliability  
-- **Error Handling**: Graceful fallbacks if database unavailable
-- **Validation**: Comprehensive input validation and sanitization
-- **Backup System**: Automatic database persistence across restarts
-
-### Performance
-- **Debounced Searches**: 300ms delay prevents excessive API calls
-- **Result Limiting**: Configurable limits (default 10 suggestions)
-- **Optimized Queries**: Prioritized search with proper indexing
-
-## 📈 Expected Impact
-
-### For Ground Teams
-- **50% Faster Data Entry**: Through intelligent auto-completion
-- **95% Accuracy Improvement**: With validated species names
-- **Zero Training Required**: Intuitive, familiar interface
-- **Mobile Field Work**: Responsive design for tablets/phones
-
-### For Research Quality
-- **Standardized Nomenclature**: Consistent scientific names
-- **Reference Code System**: Quick species identification
-- **Seasonal Tracking**: Fruiting seasons for phenology studies
-- **Data Completeness**: Auto-filled related fields
-
-## 🔮 Next Steps
-
-### Immediate (Available Now)
-1. **Test the live application** at https://huggingface.co/spaces/RoyAalekh/TreeTrack
-2. **Try the auto-suggestions** by typing in the tree identification fields
-3. **Verify species data** matches your research requirements
-4. **Test on mobile devices** for field work compatibility
-
-### Future Enhancements (Optional)
-- **Image Integration**: Species photos in suggestions
-- **Fuzzy Matching**: Handle typos and variations
-- **Regional Filtering**: Prioritize species by geographic area
-- **Usage Analytics**: Track most searched species
-- **Offline Support**: Cache for mobile field work
-
-## ✨ Success Metrics
-
-The deployment is considered successful based on:
-
-✅ **Functional Tests Passed**:
-- Master database creation: ✅ 146 species loaded
-- API endpoints responding: ✅ All endpoints working
-- Frontend integration: ✅ Real-time suggestions active
-- Search quality: ✅ Relevant results prioritized
-- Performance: ✅ Fast response times
-
-✅ **Production Readiness**:
-- Auto-scaling capable: ✅ Handles concurrent users
-- Error resilient: ✅ Graceful fallbacks implemented  
-- Mobile optimized: ✅ Responsive design confirmed
-- Data persistent: ✅ Backup system active
-
----
-
-## 🎉 Congratulations!
-
-Your TreeTrack application is now live with intelligent auto-suggestion capabilities! This represents a significant upgrade from a basic form to a professional field research tool that will dramatically improve both the efficiency and accuracy of your tree documentation efforts.
-
-The system is production-ready and will immediately benefit your ground teams with faster, more accurate species identification and data entry.
-
-**Happy Tree Tracking! 🌳**
-
----
-
-*Deployment completed on: 2025-01-08*  
-*Application URL: https://huggingface.co/spaces/RoyAalekh/TreeTrack*  
-*Repository: https://huggingface.co/spaces/RoyAalekh/TreeTrack*

DEPLOYMENT_READY.md

@@ -1,121 +0,0 @@
-# TreeTrack - Deployment Ready ✅
-
-## Migration Status: COMPLETE
-**Date**: January 8, 2025  
-**Status**: ✅ Ready for deployment  
-**Backend**: Supabase Postgres + Storage  
-**Master Database**: ✅ 146 species preserved  
-
----
-
-## 🗂️ File Structure (Clean)
-```
-TreeTrack/
-├── app.py                    # Main FastAPI application 
-├── config.py                 # Configuration management
-├── supabase_client.py        # Supabase client setup
-├── supabase_database.py      # Database operations
-├── supabase_storage.py       # File storage operations
-├── master_tree_database.py   # Autocomplete species database
-├── requirements.txt          # Python dependencies
-├── static/                   # Frontend assets
-├── data/                     # Local SQLite for master species
-└── DEPLOYMENT_READY.md       # This file
-```
-
-## 🌳 Master Tree Database
-- **Status**: ✅ Fully preserved and functional
-- **Entries**: 146 tree species (including 6 local-name-only entries)
-- **Storage**: Local SQLite database (`data/master_trees.db`)
-- **Purpose**: Fast autocomplete and suggestions
-- **API Endpoints**: 
-  - `/api/tree-suggestions?query=<search>`
-  - `/api/tree-codes`
-
-### Sample Species Available:
-- **Sal** (Shorea robusta) - Tree Code: SR
-- **Neem** (Azadirachta indica) - Tree Code: AI2  
-- **Borgos** (Ficus benghalensis) - Tree Code: FB
-- **And 143 more...**
-
-## 🏗️ Architecture
-- **Database**: Supabase Postgres (cloud-persistent)
-- **Storage**: Supabase Storage with signed URLs
-- **Autocomplete**: Local SQLite for performance
-- **API**: FastAPI with comprehensive REST endpoints
-- **Frontend**: Static HTML/JS (unchanged)
-
-## 🔧 Key Features Preserved
-✅ All 12 tree fields (location, names, measurements, etc.)  
-✅ File uploads (images, audio) with cloud storage  
-✅ Tree CRUD operations  
-✅ Statistics and analytics  
-✅ Master species autocomplete  
-✅ Photo categories and phenology stages  
-✅ Search and filtering  
-
-## 🌐 API Endpoints
-```
-GET  /                          # Frontend
-GET  /health                    # Health check
-GET  /api/trees                 # List trees
-POST /api/trees                 # Create tree  
-GET  /api/trees/{id}           # Get tree
-PUT  /api/trees/{id}           # Update tree
-DELETE /api/trees/{id}         # Delete tree
-POST /api/upload/image         # Upload image
-POST /api/upload/audio         # Upload audio
-GET  /api/tree-suggestions     # Autocomplete ⭐
-GET  /api/tree-codes           # Tree codes ⭐
-GET  /api/stats                # Statistics
-```
-
-## 📦 Dependencies
-All required packages in `requirements.txt`:
-- `fastapi>=0.115.0`
-- `uvicorn[standard]>=0.32.0`
-- `supabase>=2.3.4`
-- `psycopg2-binary>=2.9.9`
-- Plus supporting libraries
-
-## 🚀 Deployment Notes
-1. **Environment Variables Required**:
-   - `SUPABASE_URL`
-   - `SUPABASE_ANON_KEY` 
-   - `SUPABASE_SERVICE_ROLE_KEY`
-
-2. **Supabase Setup Required**:
-   - Trees table with 12 fields
-   - Storage buckets: `tree-images`, `tree-audio`
-   - Row Level Security policies
-
-3. **Master Database**: 
-   - Auto-initializes on startup
-   - Creates local `data/master_trees.db`
-   - No manual setup required
-
-## ✅ Pre-Deploy Checklist
-- [x] SQLite dependencies removed  
-- [x] Database interface abstracted
-- [x] Supabase modules standalone
-- [x] Master tree database preserved
-- [x] All syntax validated
-- [x] File structure cleaned
-- [x] Requirements updated
-- [x] **CRITICAL FIXES APPLIED**:
-  - [x] Removed duplicate database classes
-  - [x] Fixed bucket naming mismatch (tree-audio vs tree-audios)
-  - [x] Removed hardcoded Supabase URL
-  - [x] Fixed storage bucket configuration (private with signed URLs)
-  - [x] Made environment validation deployment-friendly
-  - [x] Optimized config for HuggingFace Spaces (port 7860, CORS *)
-
-## 🎯 Next Steps
-1. **Deploy to HuggingFace Spaces**
-2. **Monitor deployment logs**
-3. **Test master database autocomplete**
-4. **Verify file uploads work**
-5. **Test end-to-end functionality**
-
----
-**Ready for deployment!** 🚀

DOCUMENTATION.md

@@ -1,430 +0,0 @@
-# TreeTrack Documentation
-
-## Overview
-
-TreeTrack is a modern web application for documenting and managing tree data with geospatial mapping capabilities. Built with FastAPI backend and vanilla JavaScript frontend, it features user authentication, file uploads, interactive maps, and persistent cloud storage via Supabase.
-
-## Architecture
-
-### Technology Stack
-- **Backend**: FastAPI (Python)
-- **Frontend**: Vanilla JavaScript, HTML5, CSS3
-- **Database**: Supabase PostgreSQL
-- **Storage**: Supabase Storage (private buckets)
-- **Authentication**: JWT tokens with cookie support
-- **Deployment**: Hugging Face Spaces (Docker)
-
-### Key Features
-- Tree data entry with photo/audio uploads
-- Interactive map with tree markers
-- User authentication and permissions
-- Auto-complete for tree species
-- Persistent cloud storage
-- Mobile-responsive design
-- PWA capabilities with service worker
-
-## API Endpoints
-
-### Authentication APIs
-
-#### POST `/api/auth/login`
-Login with username and password
-```json
-Request:
-{
-  "username": "aalekh",
-  "password": "aalekh@maptrees"
-}
-
-Response:
-{
-  "access_token": "jwt_token_here",
-  "token_type": "bearer",
-  "user": {
-    "username": "aalekh",
-    "role": "admin"
-  }
-}
-```
-
-#### GET `/api/auth/validate`
-Validate current authentication token
-```json
-Response:
-{
-  "username": "aalekh",
-  "role": "admin"
-}
-```
-
-### Tree Management APIs
-
-#### GET `/api/trees`
-Get all trees with optional filtering
-```json
-Query Parameters:
-- user: filter by username
-- limit: number of results (default: 100)
-
-Response:
-[
-  {
-    "id": 1,
-    "local_name": "Assamese Name",
-    "scientific_name": "Species scientificus",
-    "common_name": "Common Name",
-    "tree_code": "TC001",
-    "location": "POINT(91.7362 26.1724)",
-    "created_by": "aalekh",
-    "created_at": "2024-01-01T12:00:00Z",
-    "photos": {
-      "trunk_url": "https://signed-url...",
-      "leaves_url": "https://signed-url...",
-      "flowers_url": "https://signed-url...",
-      "fruits_url": "https://signed-url..."
-    },
-    "audio_url": "https://signed-url..."
-  }
-]
-```
-
-#### POST `/api/trees`
-Create a new tree record
-```json
-Request (multipart/form-data):
-- local_name: string
-- scientific_name: string
-- common_name: string
-- tree_code: string
-- latitude: float
-- longitude: float
-- height: float
-- girth: float
-- fruiting_season: string
-- notes: string
-- trunk_photo: file (optional)
-- leaves_photo: file (optional)
-- flowers_photo: file (optional)
-- fruits_photo: file (optional)
-- audio: file (optional)
-
-Response:
-{
-  "id": 1,
-  "message": "Tree created successfully"
-}
-```
-
-#### PUT `/api/trees/{tree_id}`
-Update an existing tree record
-```json
-Request: Same as POST /api/trees
-Response: Same as POST /api/trees
-```
-
-#### DELETE `/api/trees/{tree_id}`
-Delete a tree record
-```json
-Response:
-{
-  "message": "Tree deleted successfully"
-}
-```
-
-### File Management APIs
-
-#### GET `/api/trees/{tree_id}/photo/{photo_type}`
-Get signed URL for tree photo
-- photo_type: trunk, leaves, flowers, fruits
-
-#### GET `/api/trees/{tree_id}/audio`
-Get signed URL for tree audio recording
-
-### Utility APIs
-
-#### GET `/api/tree-suggestions`
-Get autocomplete suggestions for tree species
-```json
-Query Parameters:
-- query: search term
-- limit: number of results (default: 10)
-
-Response:
-[
-  {
-    "local_name": "Assamese Name",
-    "scientific_name": "Species scientificus",
-    "common_name": "Common Name",
-    "tree_code": "TC001",
-    "fruiting_season": "Winter"
-  }
-]
-```
-
-#### GET `/api/statistics`
-Get application statistics
-```json
-Response:
-{
-  "total_trees": 42,
-  "total_users": 4,
-  "trees_with_photos": 38,
-  "trees_with_audio": 15
-}
-```
-
-#### GET `/api/version`
-Get current application version
-```json
-Response:
-{
-  "version": "1.0.0",
-  "timestamp": "2024-01-01T12:00:00Z"
-}
-```
-
-## User Authentication
-
-### User Accounts
-The system includes predefined user accounts:
-
-- **aalekh** (Admin): Full permissions
-- **admin** (System Admin): Full permissions  
-- **ishita** (Researcher): Create/edit own records
-- **jeeb** (Researcher): Create/edit own records
-
-### Security
-- Passwords stored as salted hashes using PBKDF2
-- JWT tokens for API authentication
-- HTTP-only cookies for web interface
-- Environment variables for password configuration
-- Role-based access control
-
-### Required Environment Variables
-```bash
-AALEKH_PASSWORD=aalekh@maptrees
-ADMIN_PASSWORD=admin@maptrees
-ISHITA_PASSWORD=ishita@maptrees
-JEEB_PASSWORD=jeeb@maptrees
-SUPABASE_URL=your_supabase_url
-SUPABASE_KEY=your_supabase_key
-SUPABASE_SERVICE_KEY=your_service_key
-```
-
-## Database Schema
-
-### Trees Table
-```sql
-CREATE TABLE trees (
-    id SERIAL PRIMARY KEY,
-    local_name VARCHAR(255),
-    scientific_name VARCHAR(255),
-    common_name VARCHAR(255),
-    tree_code VARCHAR(50),
-    location GEOMETRY(POINT, 4326),
-    latitude DECIMAL(10, 8),
-    longitude DECIMAL(11, 8),
-    height DECIMAL(5, 2),
-    girth DECIMAL(5, 2),
-    fruiting_season VARCHAR(100),
-    notes TEXT,
-    trunk_photo VARCHAR(255),
-    leaves_photo VARCHAR(255),
-    flowers_photo VARCHAR(255),
-    fruits_photo VARCHAR(255),
-    audio_file VARCHAR(255),
-    created_by VARCHAR(100),
-    created_at TIMESTAMP DEFAULT NOW(),
-    updated_at TIMESTAMP DEFAULT NOW()
-);
-```
-
-## File Storage
-
-### Supabase Storage Structure
-```
-Buckets:
-├── tree-photos/
-│   ├── {tree_id}/
-│   │   ├── trunk.jpg
-│   │   ├── leaves.jpg
-│   │   ├── flowers.jpg
-│   │   └── fruits.jpg
-└── tree-audio/
-    └── {tree_id}/
-        └── recording.webm
-```
-
-### File Access
-- All files stored in private buckets
-- Access via signed URLs (24-hour expiry)
-- Automatic cleanup of expired URLs
-- Support for images (JPEG, PNG, WebP) and audio (WebM, MP3, WAV)
-
-## Frontend Components
-
-### Main Form (`/`)
-- Tree data entry form
-- Photo capture/upload (4 categories)
-- Audio recording
-- Location selection via map
-- Auto-complete for species
-- Mobile-responsive design
-
-### Map View (`/map`)
-- Interactive Leaflet map
-- Tree markers with popups
-- Filter by user
-- Edit/delete functionality
-- Location-based clustering
-
-### Login Page (`/login`)
-- User authentication
-- Quick-select user accounts
-- Password security
-- Session management
-
-## Mobile Support
-
-### Progressive Web App (PWA)
-- Service worker for caching
-- Offline capability
-- App-like experience
-- Push notification support
-
-### Responsive Design
-- Mobile-first approach
-- Touch-friendly controls
-- Optimized for various screen sizes
-- Camera integration for photos
-
-## Deployment
-
-### Hugging Face Spaces
-The application is deployed on Hugging Face Spaces using Docker.
-
-#### Configuration Files
-- `Dockerfile`: Container setup
-- `requirements.txt`: Python dependencies
-- `.env`: Environment variables (not in repo)
-- `app.py`: Main application entry point
-
-#### Deployment Process
-1. Push changes to HF Spaces repository
-2. Docker container rebuilds automatically
-3. Environment variables configured in Spaces secrets
-4. Application starts on container startup
-
-### Local Development
-```bash
-# Clone repository
-git clone https://huggingface.co/spaces/your-username/TreeTrack
-cd TreeTrack
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Set environment variables
-cp .env.example .env
-# Edit .env with your credentials
-
-# Run application
-uvicorn app:app --reload --host 0.0.0.0 --port 7860
-```
-
-## Cache Management
-
-### Service Worker Strategy
-- Network-first for API calls
-- Cache-first for static assets
-- Version-based cache invalidation
-- Automatic cache updates
-
-### Version Control
-- Timestamp-based versioning
-- Automatic cache busting
-- Development environment detection
-- Manual cache refresh endpoints
-
-## Security Considerations
-
-### Data Protection
-- HTTPS enforced
-- Private file storage
-- Signed URLs with expiry
-- User-based access control
-
-### Authentication Security
-- Password hashing with salt
-- JWT token expiration
-- HTTP-only cookies
-- CSRF protection
-
-## Troubleshooting
-
-### Common Issues
-
-#### Cache Problems
-```bash
-# Clear browser cache
-# Unregister service workers
-# Check version endpoints
-GET /api/version
-```
-
-#### Authentication Issues
-```bash
-# Verify environment variables
-# Check user credentials
-# Clear cookies and localStorage
-```
-
-#### File Upload Problems
-```bash
-# Check Supabase storage configuration
-# Verify bucket permissions
-# Monitor file size limits
-```
-
-### Debug Endpoints
-- `/api/version`: Check app version
-- `/api/statistics`: Verify data counts
-- Browser DevTools: Network and Console tabs
-
-## Contributing
-
-### Development Workflow
-1. Fork the repository
-2. Create feature branch
-3. Make changes with tests
-4. Submit pull request
-5. Code review and merge
-
-### Code Standards
-- Python: PEP 8 compliance
-- JavaScript: ESLint configuration
-- Documentation: Markdown format
-- Commits: Conventional commit messages
-
-## Resources
-
-### External Links
-- [FastAPI Documentation](https://fastapi.tiangolo.com/)
-- [Supabase Documentation](https://supabase.com/docs)
-- [Leaflet Maps](https://leafletjs.com/)
-- [Hugging Face Spaces](https://huggingface.co/spaces)
-
-### Internal Files
-- `llm.txt`: LLM knowledge base
-- `SECURITY.md`: Security documentation
-- `requirements.txt`: Dependencies
-- `static/`: Frontend assets
-
----
-
-## Support
-
-For issues, questions, or contributions, please contact the development team or create an issue in the repository.
-
-**Last Updated**: January 2024
-**Version**: 1.0.0

SECURITY.md

@@ -1,81 +0,0 @@
-# TreeTrack Security Configuration
-
-## Environment Variables for Authentication
-
-For security reasons, user passwords should be configured via environment variables instead of being hardcoded. The application supports the following environment variables:
-
-### Required Environment Variables
-
-Set these in your HuggingFace Space settings or deployment environment:
-
-```bash
-# Administrator passwords
-AALEKH_PASSWORD=your_secure_password_here
-ADMIN_PASSWORD=your_secure_admin_password_here
-
-# User passwords  
-ISHITA_PASSWORD=your_secure_password_here
-JEEB_PASSWORD=your_secure_password_here
-```
-
-### Security Requirement
-
-⚠️ **Critical**: All user passwords MUST be configured via environment variables. The application will not start without these environment variables being set.
-
-No default passwords are provided for security reasons.
-
-## How to Set Environment Variables in HuggingFace Spaces
-
-1. Go to your HuggingFace Space settings
-2. Navigate to the "Variables and secrets" section
-3. Add the following environment variables:
-   - `AALEKH_PASSWORD` - Set a strong password for Aalekh (admin)
-   - `ADMIN_PASSWORD` - Set a strong password for admin account
-   - `ISHITA_PASSWORD` - Set a strong password for Ishita
-   - `JEEB_PASSWORD` - Set a strong password for Jeeb
-4. Restart your space to apply the changes
-
-## Password Security Best Practices
-
-- Use strong passwords with at least 12 characters
-- Include uppercase, lowercase, numbers, and special characters
-- Avoid common words or personal information
-- Use unique passwords for each account
-- Consider using a password manager to generate secure passwords
-
-## User Roles and Permissions
-
-- **aalekh** & **admin**: Full administrative access (can edit/delete any tree)
-- **ishita** & **jeeb**: Researcher access (can add trees and edit their own trees)
-
-## Session Security
-
-- Sessions expire after 8 hours of inactivity
-- Automatic cleanup of expired sessions
-- Secure session tokens generated using cryptographically secure random numbers
-- All API endpoints require authentication
-
-## Additional Security Measures
-
-1. **HTTPS**: Always use HTTPS in production
-2. **Rate Limiting**: Consider implementing rate limiting for login attempts
-3. **Audit Logging**: All authentication events are logged
-4. **Password Hashing**: Passwords are hashed using PBKDF2 with 100,000 iterations
-5. **Session Management**: Secure session token generation and validation
-
-## Development vs Production
-
-### Development (Current Setup)
-- Default passwords are used if environment variables are not set
-- Suitable for testing and development environments
-
-### Production Recommendations
-- Always set secure passwords via environment variables
-- Use a proper database for user management
-- Implement additional security features like 2FA
-- Regular security audits and password rotation
-- Use proper logging and monitoring
-
----
-
-Remember: Security is an ongoing process. Regularly review and update your security practices!

SPECTACULAR_VISUALIZATION_ROADMAP.md

@@ -1,353 +0,0 @@
-# TreeTrack Spectacular Visualization Roadmap
-
-## Vision Statement
-Transform TreeTrack into a spectacular, immersive tree exploration experience with interactive storytelling and thematic navigation, while maintaining data collection as the primary objective.
-
----
-
-## Core Philosophy
-**"Data Collection First, Spectacular Visualization Second"**
-
-- Preserve and enhance existing robust data collection system
-- Add spectacular visualization as progressive enhancement
-- Maintain mobile-first approach for field researchers
-- Ensure backward compatibility and performance
-
----
-
-## Current State Assessment
-
-### What We Have (Strong Foundation)
-- **Comprehensive Data Model**: 12 detailed tree fields including geolocation, measurements, phenology, utilities
-- **Rich Media Support**: Photo categories (Leaf, Bark, Fruit, Seed, Flower, Full tree), audio storytelling
-- **Professional Map Interface**: Leaflet-based with modern design system
-- **Authentication System**: Multi-user with role-based permissions
-- **Cloud Infrastructure**: Supabase backend with file storage
-- **Master Species Database**: 146 tree species with autocomplete
-- **Mobile PWA**: Service worker, offline capability, responsive design
-
-### What Needs Fixing First
-1. **Cache Management Issues**: Service worker causing development problems
-2. **Map Performance**: Optimize marker clustering and rendering
-3. **Mobile UX**: Enhance touch interactions and form usability
-4. **Audio Integration**: Improve recording and playback experience
-5. **Photo Management**: Better categorization and thumbnail generation
-6. **Search & Filter**: More intuitive tree discovery
-
----
-
-## Implementation Phases
-
-### **Phase 0: Foundation Fixes** (Priority 1 - Immediate)
-*Focus: Fix current issues and strengthen the foundation*
-
-#### Week 1-2: Critical Fixes
-- [ ] **Cache Management Overhaul**
-  - Fix service worker caching issues
-  - Implement proper versioning strategy
-  - Add development mode detection
-  
-- [ ] **Mobile Experience Enhancement**
-  - Optimize form layout for mobile data entry
-  - Improve camera integration
-  - Better audio recording interface
-  - Touch-friendly map interactions
-
-- [ ] **Performance Optimization**
-  - Implement efficient marker clustering
-  - Add progressive loading for large datasets
-  - Optimize image loading and thumbnails
-
-#### Week 3-4: Core Improvements
-- [ ] **Enhanced Search & Discovery**
-  - Advanced filtering by species, utilities, phenology
-  - Improved autocomplete with fuzzy matching
-  - Location-based tree discovery
-
-- [ ] **Data Quality Tools**
-  - Validation improvements
-  - Data completeness indicators
-  - Bulk edit capabilities for researchers
-
----
-
-### **Phase 1: Spectacular Story Mode** (Priority 2 - Q2 2025)
-*Focus: Add immersive exploration mode with dark theme and interactive storytelling*
-
-#### Core Features
-- [ ] **Story Mode Toggle**
-  - Switch between "Data Collection Mode" and "Story Mode"
-  - Dark, immersive theme with geographic aesthetics
-  - Smooth transitions and animations
-
-- [ ] **Interactive Tree Stories**
-  - Click trees to reveal rich story popups
-  - Integration with existing storytelling text and audio
-  - Photo galleries with smooth lightbox experience
-  - Cultural and ecological significance highlighting
-
-- [ ] **Thematic Navigation** ("Travel by Themes")
-  - **Religious Trees**: Filter trees with religious significance
-  - **Medicine & Healing**: Traditional medicinal uses
-  - **Food & Sustenance**: Edible fruits, leaves, bark
-  - **Biodiversity Hotspots**: Ecological importance
-  - **Cultural Heritage**: Local traditions and stories
-  - **Seasonal Journeys**: Phenology-based exploration
-
-#### Visual Enhancements
-- [ ] **Immersive Dark Theme**
-  - Deep background gradients with atmospheric effects
-  - Subtle geographic pattern overlays
-  - Dynamic lighting based on tree themes
-
-- [ ] **Animated Tree Markers**
-  - Pulsing markers that respond to themes
-  - Color-coded by utilities or phenology stages
-  - Smooth zoom and transition animations
-
-- [ ] **Atmospheric UI Elements**
-  - Overlay text: "CLICK ON TREE TO DISCOVER ITS STORY"
-  - Elegant typography with multiple language support
-  - Floating navigation elements
-
-#### Technical Implementation
-- [ ] **Enhanced Leaflet Integration**
-  - Custom marker animations with CSS transforms
-  - Advanced popup system with rich media
-  - Smooth map transitions and effects
-
-- [ ] **Audio Storytelling System**
-  - Background audio playback
-  - Spatial audio effects (trees closer = louder)
-  - Audio waveform visualization
-
----
-
-### **Phase 2: Advanced Exploration Features** (Priority 3 - Q3 2025)
-*Focus: Next-level interactive experiences*
-
-#### Advanced Storytelling
-- [ ] **Multi-Language Support**
-  - Assamese, Hindi, English story versions
-  - Voice narration in local languages
-  - Cultural context for each region
-
-- [ ] **Temporal Exploration**
-  - "Time Travel" through seasons
-  - Historical tree data visualization
-  - Growth progression animations
-
-- [ ] **Community Stories**
-  - User-contributed stories and folklore
-  - Community voting on favorite trees
-  - Collaborative storytelling features
-
-#### Enhanced Visualization
-- [ ] **3D Tree Visualization**
-  - Three.js integration for 3D tree models
-  - Realistic tree rendering based on measurements
-  - Seasonal appearance changes
-
-- [ ] **Augmented Reality (AR)**
-  - Mobile AR for tree identification
-  - Overlay information in real-world view
-  - Virtual tree placement and measurement
-
-#### Data Analytics Dashboard
-- [ ] **Ecological Insights**
-  - Biodiversity heat maps
-  - Phenology pattern analysis
-  - Climate impact visualization
-
-- [ ] **Research Tools**
-  - Export capabilities for researchers
-  - Statistical analysis integration
-  - Collaborative research features
-
----
-
-### **Phase 3: Next-Generation Features** (Priority 4 - Q4 2025)
-*Focus: Cutting-edge technology integration*
-
-#### AI & Machine Learning
-- [ ] **Automated Tree Identification**
-  - AI-powered species identification from photos
-  - Automated measurement estimation
-  - Quality validation of data entries
-
-- [ ] **Predictive Analytics**
-  - Tree health prediction models
-  - Optimal planting location suggestions
-  - Climate change impact forecasting
-
-#### Advanced Interactions
-- [ ] **Voice Interface**
-  - Voice-controlled data entry
-  - Audio-guided tree exploration
-  - Hands-free operation for field work
-
-- [ ] **IoT Integration**
-  - Sensor data integration (soil, weather)
-  - Real-time environmental monitoring
-  - Automated data collection
-
-#### Community Platform
-- [ ] **Social Features**
-  - Tree adoption programs
-  - Community challenges and gamification
-  - Educational content and quizzes
-
----
-
-## Technical Architecture Plan
-
-### Frontend Enhancements
-```
-TreeTrack/static/
-├── core/
-│   ├── app.js              # Core application logic (existing)
-│   ├── map.js              # Enhanced map functionality
-│   └── data-entry.js       # Optimized forms
-├── story-mode/
-│   ├── story-controller.js # Story mode orchestration
-│   ├── theme-navigation.js # Thematic filtering
-│   ├── audio-player.js     # Enhanced audio system
-│   └── story-popup.js      # Rich story popups
-├── themes/
-│   ├── default.css         # Current professional theme
-│   ├── story-dark.css      # Dark immersive theme
-│   └── mobile.css          # Mobile optimizations
-└── assets/
-    ├── audio/              # Story narrations
-    ├── textures/           # Geographic patterns
-    └── icons/              # Themed markers
-```
-
-### Backend API Extensions
-```python
-# New API endpoints for spectacular features
-/api/stories/              # Rich story content
-/api/themes/               # Thematic filtering
-/api/audio/streaming/      # Audio streaming
-/api/analytics/            # Usage analytics
-/api/community/            # Community features
-```
-
-### Database Schema Extensions
-```sql
--- Story mode enhancements
-ALTER TABLE trees ADD COLUMN story_priority INTEGER DEFAULT 0;
-ALTER TABLE trees ADD COLUMN cultural_significance TEXT;
-ALTER TABLE trees ADD COLUMN audio_duration DECIMAL(5,2);
-ALTER TABLE trees ADD COLUMN theme_tags JSON;
-
--- Community features
-CREATE TABLE tree_stories (
-    id SERIAL PRIMARY KEY,
-    tree_id INTEGER REFERENCES trees(id),
-    contributor_name VARCHAR(255),
-    story_text TEXT,
-    audio_file VARCHAR(255),
-    language VARCHAR(10),
-    created_at TIMESTAMP DEFAULT NOW()
-);
-```
-
----
-
-## Success Metrics
-
-### Data Collection (Primary)
-- **Efficiency**: 50% reduction in data entry time
-- **Accuracy**: 95% data validation success rate
-- **Adoption**: 100% of field teams using mobile app
-- **Coverage**: 1000+ trees documented per quarter
-
-### Spectacular Visualization (Secondary)
-- **Engagement**: 80% of users try Story Mode
-- **Discovery**: Average 5+ trees explored per session
-- **Community**: 50+ community-contributed stories
-- **Education**: 90% of users learn something new about trees
-
-### Technical Performance
-- **Speed**: <2s load time on mobile
-- **Reliability**: 99.9% uptime
-- **Accessibility**: WCAG 2.1 AA compliance
-- **Cross-platform**: iOS, Android, Desktop compatibility
-
----
-
-## Community Impact Goals
-
-### Research Excellence
-- Support 10+ research publications using TreeTrack data
-- Enable collaboration between 5+ research institutions
-- Provide open data for conservation initiatives
-
-### Educational Outreach
-- Create educational content for schools
-- Support environmental awareness campaigns
-- Enable citizen science participation
-
-### Cultural Preservation
-- Document traditional ecological knowledge
-- Preserve local tree-related folklore
-- Support indigenous community narratives
-
----
-
-## Implementation Priority Matrix
-
-### **Immediate (Next 2 Months)**
-1. Fix cache management issues
-2. Optimize mobile data entry experience
-3. Improve search and filtering
-4. Enhance photo management
-
-### **Short Term (3-6 Months)**
-1. Implement Story Mode toggle
-2. Create thematic navigation
-3. Build interactive story popups
-4. Add dark immersive theme
-
-### **Medium Term (6-12 Months)**
-1. Advanced audio storytelling
-2. 3D visualization capabilities
-3. Multi-language support
-4. Community features
-
-### **Long Term (12+ Months)**
-1. AR integration
-2. AI-powered features
-3. IoT sensor integration
-4. Advanced analytics platform
-
----
-
-## Innovation Opportunities
-
-### Unique Differentiators
-- **Cultural Integration**: Deep integration of local folklore and traditional knowledge
-- **Multi-Sensory**: Audio, visual, and tactile experiences
-- **Field-First Design**: Built specifically for field researchers
-- **Community-Driven**: Stories and knowledge from local communities
-
-### Potential Partnerships
-- **Research Institutions**: University collaborations
-- **Conservation Organizations**: NGO partnerships
-- **Technology Companies**: AR/VR technology integration
-- **Cultural Organizations**: Local folklore documentation
-
----
-
-## Vision Realization
-
-**The Ultimate Goal**: Transform TreeTrack into the world's most engaging and comprehensive tree documentation platform - where rigorous scientific data collection meets spectacular storytelling, creating an immersive experience that educates, inspires, and preserves the cultural and ecological heritage of trees.
-
-**Impact Statement**: "Every tree has a story. TreeTrack makes those stories discoverable, preservable, and unforgettable."
-
----
-
-*This roadmap is a living document that evolves with user feedback, technological advances, and community needs. The foundation is strong - now we build something spectacular on top of it.*
-
-**Next Step**: Focus on Phase 0 critical fixes to ensure the foundation is solid before adding spectacular features.

version.json

@@ -1,9 +0,0 @@
-{
-    "version": "3.1754653904",
-    "timestamp": 1754653904,
-    "build": "hf_spaces",
-    "commit": "deployed",
-    "cache_cleared": true,
-    "deployment": "huggingface_spaces",
-    "port": 7860
-}