Add comprehensive Docker deployment and file upload functionality

Features Added:
• Docker containerization with multi-stage Python 3.12 build
• Caddy reverse proxy integration with automatic SSL
• File upload interface for .claude.json imports with preview
• Comprehensive hook system with 39+ hook types across 9 categories
• Complete documentation system with Docker and import guides

Technical Improvements:
• Enhanced database models with hook tracking capabilities
• Robust file validation and error handling for uploads
• Production-ready Docker compose configuration
• Health checks and resource limits for containers
• Database initialization scripts for containerized deployments

Documentation:
• Docker Deployment Guide with troubleshooting
• Data Import Guide with step-by-step instructions
• Updated Getting Started guide with new features
• Enhanced documentation index with responsive grid layout

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

.env.example

@@ -1,10 +1,18 @@
-# Database
-DATABASE_URL=sqlite+aiosqlite:///./data/tracker.db
+# Claude Code Tracker Configuration
 
-# API Configuration  
+# Domain configuration for Caddy reverse proxy
+DOMAIN=claude.l.supported.systems
+
+# Database configuration
+DATABASE_URL=sqlite+aiosqlite:///app/data/tracker.db
+
+# Application settings
+DEBUG=false
 API_HOST=0.0.0.0
 API_PORT=8000
-DEBUG=true
+
+# Data storage path (host directory to bind mount)
+DATA_PATH=./data
 
 # Security (generate with: openssl rand -hex 32)
 SECRET_KEY=your-secret-key-here
@@ -16,4 +24,20 @@ ANALYTICS_BATCH_SIZE=1000
 
 # Logging
 LOG_LEVEL=INFO
-LOG_FILE=tracker.log
+LOG_FILE=tracker.log
+
+# Optional: Rate limiting settings
+# RATE_LIMIT_ENABLED=true
+# RATE_LIMIT_PER_MINUTE=100
+
+# Optional: Performance settings
+# MAX_WORKERS=4
+# TIMEOUT_SECONDS=60
+
+# Optional: Hook settings
+# DEFAULT_HOOK_TIMEOUT=10
+# MAX_HOOK_RETRIES=3
+
+# Optional: Analytics retention
+# ANALYTICS_RETENTION_DAYS=365
+# ENABLE_ANONYMOUS_ANALYTICS=false