📚 Comprehensive Documentation Update: • Added TV webhook processing modes section to README.md • Updated CHANGELOG.md with configurable processing feature details • Enhanced SETUP.md with TV_WEBHOOK_PROCESSING_MODE configuration • Added Step 7 testing procedures to TESTING.md for both modes 🔧 Configuration Documentation: • Targeted Mode (default): Only process episodes mentioned in webhook • Series Mode: Process entire series directory (legacy behavior) • Smart fallback logic when episode data unavailable • Clear examples and use case recommendations 📋 Testing Instructions: • Step-by-step mode switching procedures • Expected log output examples for each mode • Environment variable configuration examples • Docker restart procedures for testing ✨ User Benefits Documented: • Efficiency comparison: targeted vs series processing • File operation reduction for targeted mode • Media server notification minimization • Backward compatibility with existing setups
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NFOGuard Testing Guide
🧪 Test Scripts Overview
NFOGuard includes 3 specialized testing scripts to validate different parts of the workflow. These are designed to be run via webhooks or manual API calls, not directly on the command line.
1. test_bulk_update.py - Database Connection Validator
Purpose: Tests that the bulk update system can connect to databases without modifying any data.
What it tests:
- Radarr database connection
- NFOGuard database connection
- Query execution (reads first 5 movies)
- Import detection logic
When to use: Before running the full bulk update to ensure everything is configured correctly.
How to run:
# Via webhook/API inside container
curl -X POST "http://nfoguard:8080/test/bulk-update"
# Or manually inside container
python3 test_bulk_update.py
2. test_movie_scan.py - Directory Structure Validator
Purpose: Tests the movie directory scanning logic to ensure movies will be found.
What it tests:
- Path configuration validation
- IMDb ID parsing from directory names
- Movie discovery logic
- Directory structure understanding
When to use: When manual scans report "0 movies found" to debug path issues.
Sample output:
🔍 Testing Movie Directory Scanning
✅ '/media/Movies/movies' -> Found 150 movies with IMDb IDs
✅ 'The Dark Knight [imdb-tt0468569] (2008)' -> tt0468569
❌ 'Invalid Movie (2020)' -> No IMDb ID found
3. test_end_to_end.py - Complete Workflow Validator
Purpose: Tests the entire NFOGuard workflow from database queries to NFO creation.
What it tests:
- Server health and connectivity
- Database performance (your July 2025 date test)
- Manual scan trigger
- Batch processing status
- Statistics endpoints
When to use: After deployment to verify the complete system works end-to-end.
How to run:
# Via webhook inside container
curl -X POST "http://nfoguard:8080/test/end-to-end"
🚀 Testing Workflow for Docker Deployment
Step 1: Deploy with Environment Variables
# Copy your environment template
cp .env.example .env
# Edit .env with your actual database password
nano .env
# Deploy
docker-compose up -d
Step 2: Validate Database Connections
# Test database connectivity
curl -X POST "http://localhost:8080/test/bulk-update"
# Should show:
# ✅ Radarr database connection successful
# ✅ NFOGuard database connection successful
Step 3: Test Movie Discovery
# Test that movies will be found
curl -X POST "http://localhost:8080/test/movie-scan"
# Should show paths and sample movies found
Step 4: Run Full End-to-End Test
# Complete workflow test
curl -X POST "http://localhost:8080/test/end-to-end"
# Should show all systems operational
Step 5: Production Testing
# Test database performance (your working July date)
curl "http://localhost:8080/debug/movie/tt1674782"
# Should return: 2025-07-08T03:30:04+00:00
# Run manual scan
curl -X POST "http://localhost:8080/manual/scan?scan_type=movies"
# Run bulk update
curl -X POST "http://localhost:8080/bulk/update"
Step 6: Test Enhanced TV Processing (v0.6.0+)
# Test Sonarr API integration
curl "http://localhost:8080/health"
# Check that Sonarr connection shows up
# Test single season processing (URL-safe)
curl -X POST "http://localhost:8080/tv/scan-season" \
-H "Content-Type: application/json" \
-d '{
"series_path": "/media/TV/tv/Your Show [imdb-tt1234567]",
"season_name": "Season 01"
}'
# Test single episode processing (URL-safe)
curl -X POST "http://localhost:8080/tv/scan-episode" \
-H "Content-Type: application/json" \
-d '{
"series_path": "/media/TV/tv/Your Show [imdb-tt1234567]",
"season_name": "Season 01",
"episode_name": "S01E01.mkv"
}'
# Verify enhanced NFO was created with metadata
find /media/TV/tv -name "S01E*.nfo" | head -1 | xargs cat
# Should show: <title>, <plot>, <rating>, <runtime>, timestamps
# Test TV webhook processing modes
export TV_WEBHOOK_PROCESSING_MODE=targeted # or series
# Download episode in Sonarr and check logs for processing mode
Step 7: Test TV Webhook Processing Modes (v0.6.0+)
# Test targeted mode (default - processes only webhook episodes)
echo "TV_WEBHOOK_PROCESSING_MODE=targeted" >> .env
docker restart nfoguard
# Download single episode in Sonarr, check logs should show:
# "Using targeted episode processing for 1 episodes"
# "Completed targeted processing: 1/1 episodes processed"
# Test series mode (processes entire series)
echo "TV_WEBHOOK_PROCESSING_MODE=series" >> .env
docker restart nfoguard
# Download single episode in Sonarr, check logs should show:
# "Using series processing mode (fallback or configured)"
# "Processing TV series: Show Name"
# "Found X episodes on disk"
🛠 Why These Tests Are Needed
- Docker Environment Isolation: Tests run in the same environment as the production app
- Database-Only Validation: Ensures the optimized database queries work correctly
- Path Configuration: Validates that your specific directory structure is properly configured
- Webhook Integration: Tests run via HTTP calls, same as Radarr webhooks
- CI/CD Integration: Can be automated in deployment pipelines
🔍 Troubleshooting with Tests
"0 movies processed" → Run test_movie_scan.py to check path configuration
Database errors → Run test_bulk_update.py to validate connections
Workflow issues → Run test_end_to_end.py for comprehensive diagnosis
These tests are designed to catch issues before they impact your media processing workflow.