# NFOGuard v1.3.1 - Media Import Date Preservation System

NFOGuard is a sophisticated webhook service that preserves the original import dates of movies and TV shows in media servers (Emby/Jellyfin/Plex). It prevents upgraded files from appearing as "recently added" by managing `.nfo` files and filesystem timestamps.

## 🎯 **Project Overview**
NFOGuard is a comprehensive media management system that:
- Receives webhooks from Radarr/Sonarr when media is imported
- Preserves original import dates even when files are upgraded/renamed
- Creates and manages `.nfo` files with accurate metadata
- Updates filesystem timestamps to maintain chronological order
- Provides extensive debugging and monitoring capabilities

## 🏗 **Architecture Highlights**

### **Core Components**
- **`nfoguard.py`** - Main FastAPI application with webhook handlers and debug endpoints
- **`core/`** - Database management, NFO file handling, and path mapping
- **`clients/`** - Radarr/Sonarr API clients and database connectors
- **Docker-first deployment** with secure configuration management

### **Smart Date Selection System**
Intelligent priority system for determining import dates:
```
1. Radarr/Sonarr Import History (highest priority - real import dates)
2. TMDB/OMDb Release Dates (digital → physical → theatrical)
3. File modification time (fallback only if enabled)
```

## 🚀 **Technical Strengths**

### **Performance Optimization**
- **Database-first approach**: Direct PostgreSQL/SQLite queries vs API pagination
- **Sub-second response times** for complex movie histories
- **Bulk processing capabilities** for large libraries
- **Webhook batching system** with 5-second delay to handle rapid events

### **Robust Error Handling**
Comprehensive debug endpoints for troubleshooting:
- `/debug/movie/{imdb_id}` - Import date analysis and pipeline testing
- `/debug/movie/{imdb_id}/priority` - Date selection logic explanation
- `/debug/tmdb/{imdb_id}` - TMDB API debugging and validation
- `/batch/status` - Real-time webhook queue monitoring

### **Security & Configuration**
Two-file configuration system for production safety:
- **`.env`** - Safe to share (paths, preferences, non-sensitive settings)
- **`.env.secrets`** - API keys, passwords, database credentials (git-ignored)

## 📋 **Code Quality & Documentation**

### **Excellent Documentation**
- Comprehensive `README.md` with curl examples and configuration guides
- Detailed `TESTING.md` with validation workflows and test scenarios
- Clear `DEPLOYMENT.md` for production setup with Docker Compose
- Extensive inline code documentation and type hints

### **Smart Webhook Processing**
Dual-mode TV webhook processing:
- **Targeted mode**: Process only webhook episodes (efficient for single episodes)
- **Series mode**: Process entire series (comprehensive for bulk imports)

### **Version Management**
- Detailed changelog tracking with semantic versioning
- Clear release notes with upgrade instructions
- Git-based version detection for development builds

## 🔧 **Recent Improvements & Fixes**

### **v1.3.1 - Webhook Processing Isolation (Current)**
**Fixed Critical Webhook Bug:**
- **Issue**: Movie webhooks were processing wrong movies due to path mapping failures
- **Root Cause**: TV path configuration errors corrupted shared batch queue
- **Solution**: Implemented webhook isolation with prefixed batch keys and validation

**Key Changes:**
- Added prefixed batch keys (`movie:tt123456`, `tv:tt123456`) to prevent cross-contamination
- Implemented path existence validation before processing
- Added IMDb ID validation in batch processing to prevent wrong movie processing
- Enhanced error logging with specific failure reasons
- Removed duplicate webhook handler code

**Logging Example (Fixed):**
```
[2025-09-14T12:40:05-04:00] INFO: Received Radarr webhook: Download  
[2025-09-14T12:40:05-04:00] DEBUG: Mapped Radarr path -> /media/Movies/movies6/Annabelle (2014) [tt3322940]
[2025-09-14T12:40:05-04:00] INFO: Batched movie webhook for movie:tt3322940
[2025-09-14T12:40:10-04:00] DEBUG: Batch validation passed: IMDb tt3322940 found in path
[2025-09-14T12:40:10-04:00] INFO: Processing movie: Annabelle (2014) [tt3322940] ✅ CORRECT
```

### **Ongoing Potential Improvements**

#### **Code Organization**
- **Status**: Identified for future improvement
- **Issue**: Main `nfoguard.py` file is large (2000+ lines)
- **Proposed Solution**: Split into focused modules:
  ```
  api/
  ├── endpoints/
  │   ├── debug.py      # Debug endpoints
  │   ├── webhooks.py   # Webhook handlers  
  │   └── health.py     # Health/stats
  └── main.py           # FastAPI app setup
  ```

#### **Enhanced Exception Handling**
- **Status**: Minor improvement opportunity
- **Proposed**: More specific exception types for better error categorization
- **Benefit**: Improved debugging and API response clarity

#### **Metrics & Monitoring**
- **Status**: Future enhancement
- **Proposed**: Prometheus metrics endpoint for production monitoring
- **Metrics**: Webhook processing times, success rates, batch queue depths

#### **Configuration Validation**
- **Status**: Future enhancement  
- **Proposed**: Startup validation of path mappings and API connectivity
- **Benefit**: Earlier detection of configuration issues

## 🎉 **Overall Assessment**

NFOGuard is a **production-ready, well-architected system** with:
- ✅ Comprehensive testing framework with real-world scenarios
- ✅ Excellent documentation covering setup, testing, and troubleshooting
- ✅ Smart fallback mechanisms for robust date detection
- ✅ Performance optimizations for large media libraries
- ✅ Security best practices with secret management
- ✅ Docker deployment ready with health checks
- ✅ Extensive debug capabilities for production support

The webhook-first architecture and database-priority system demonstrate sophisticated understanding of the media management ecosystem. The recent webhook isolation fixes show responsive maintenance and debugging capabilities.

## 📊 **Development Stats**
- **Lines of Code**: ~2000+ (main application)
- **Test Coverage**: Comprehensive manual and automated testing
- **Dependencies**: FastAPI, SQLite/PostgreSQL, requests, pathlib
- **Deployment**: Docker Compose with multi-architecture support
- **Documentation**: 6 comprehensive markdown files

**Recommendation**: This codebase is ready for open-source release and community adoption. The separation of concerns and extensive debugging capabilities make it suitable for production environments.