df3d22b218
- Add comprehensive Tdarr troubleshooting and GPU transcoding documentation - Create /scripts directory for active operational scripts - Archive mapped node example in /examples for reference - Update CLAUDE.md with scripts directory context triggers - Add distributed transcoding patterns and NVIDIA troubleshooting guides - Enhance documentation structure with clear directory usage guidelines 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
262 lines
12 KiB
Markdown
262 lines
12 KiB
Markdown
# Tdarr forEach Error Troubleshooting Summary
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## Problem Statement
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User experiencing persistent `TypeError: Cannot read properties of undefined (reading 'forEach')` error in Tdarr transcoding system. Error occurs during file scanning phase, specifically during "Tagging video res" step, preventing any transcodes from completing successfully.
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## System Configuration
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- **Tdarr Server**: 2.45.01 running in Docker container at `ssh tdarr` (10.10.0.43:8266)
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- **Tdarr Node**: Running on separate machine `nobara-pc-gpu` in Podman container `tdarr-node-gpu`
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- **Architecture**: Server-Node distributed setup
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- **Original Issue**: Custom Stonefish plugins from repository were overriding community plugins with old incompatible versions
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## Troubleshooting Phases
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### Phase 1: Initial Plugin Investigation (Completed ✅)
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**Issue**: Old Stonefish plugin repository (June 2024) was mounted via Docker volumes, overriding all community plugins with incompatible versions.
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**Actions Taken**:
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- Identified that volume mounts `./stonefish-tdarr-plugins/FlowPlugins/:/app/server/Tdarr/Plugins/FlowPlugins/` were replacing entire plugin directories
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- Found forEach errors in old plugin versions: `args.variables.ffmpegCommand.streams.forEach()` without null safety
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- Applied null-safety fixes: `(args.variables.ffmpegCommand.streams || []).forEach()`
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### Phase 2: Plugin System Reset (Completed ✅)
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**Actions Taken**:
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- Removed all Stonefish volume mounts from docker-compose.yml
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- Forced Tdarr to redownload current community plugins (2.45.01 compatible)
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- Confirmed community plugins were restored and current
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### Phase 3: Selective Plugin Mounting (Completed ✅)
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**Issue**: Flow definition referenced missing Stonefish plugins after reset.
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**Required Stonefish Plugins Identified**:
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1. `ffmpegCommandStonefishSetVideoEncoder` (main transcoding plugin)
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2. `stonefishCheckLetterboxing` (letterbox detection)
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3. `setNumericFlowVariable` (loop counter: `transcode_attempts++`)
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4. `checkNumericFlowVariable` (loop condition: `transcode_attempts < 3`)
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5. `ffmpegCommandStonefishSortStreams` (stream sorting)
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6. `ffmpegCommandStonefishTagStreams` (stream tagging)
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7. `renameFiles` (file management)
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**Dependencies Resolved**:
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- Added missing FlowHelper dependencies: `metadataUtils.js` and `letterboxUtils.js`
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- All plugins successfully loading in Node.js runtime tests
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**Final Docker-Compose Configuration**:
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```yaml
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volumes:
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- ./fixed-plugins/FlowPlugins/CommunityFlowPlugins/ffmpegCommand/ffmpegCommandStonefishSetVideoEncoder:/app/server/Tdarr/Plugins/FlowPlugins/CommunityFlowPlugins/ffmpegCommand/ffmpegCommandStonefishSetVideoEncoder
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- ./fixed-plugins/FlowPlugins/CommunityFlowPlugins/ffmpegCommand/ffmpegCommandStonefishSortStreams:/app/server/Tdarr/Plugins/FlowPlugins/CommunityFlowPlugins/ffmpegCommand/ffmpegCommandStonefishSortStreams
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- ./fixed-plugins/FlowPlugins/CommunityFlowPlugins/ffmpegCommand/ffmpegCommandStonefishTagStreams:/app/server/Tdarr/Plugins/FlowPlugins/CommunityFlowPlugins/ffmpegCommand/ffmpegCommandStonefishTagStreams
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- ./fixed-plugins/FlowPlugins/CommunityFlowPlugins/video/stonefishCheckLetterboxing:/app/server/Tdarr/Plugins/FlowPlugins/CommunityFlowPlugins/video/stonefishCheckLetterboxing
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- ./fixed-plugins/FlowPlugins/CommunityFlowPlugins/file/renameFiles:/app/server/Tdarr/Plugins/FlowPlugins/CommunityFlowPlugins/file/renameFiles
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- ./fixed-plugins/FlowPlugins/CommunityFlowPlugins/tools/setNumericFlowVariable:/app/server/Tdarr/Plugins/FlowPlugins/CommunityFlowPlugins/tools/setNumericFlowVariable
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- ./fixed-plugins/FlowPlugins/CommunityFlowPlugins/tools/checkNumericFlowVariable:/app/server/Tdarr/Plugins/FlowPlugins/CommunityFlowPlugins/tools/checkNumericFlowVariable
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- ./fixed-plugins/metadataUtils.js:/app/server/Tdarr/Plugins/FlowPlugins/FlowHelpers/1.0.0/metadataUtils.js
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- ./fixed-plugins/letterboxUtils.js:/app/server/Tdarr/Plugins/FlowPlugins/FlowHelpers/1.0.0/letterboxUtils.js
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```
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### Phase 4: Server-Node Plugin Sync (Completed ✅)
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**Issue**: Node downloads plugins from Server's ZIP file, which wasn't updated with mounted fixes.
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**Actions Taken**:
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- Identified that Server creates plugin ZIP for Node distribution
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- Forced Server restart to regenerate plugin ZIP with mounted fixes
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- Restarted Node to download fresh plugin ZIP
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- Verified Node has forEach fixes: `(args.variables.ffmpegCommand.streams || []).forEach()`
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- Removed problematic leftover Local plugin directory causing scanner errors
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### Phase 5: Library Plugin Investigation (Completed ✅)
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**Issue**: forEach error persisted even after flow plugin fixes. Error occurring during scanning phase, not flow execution.
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**Library Plugins Identified and Removed**:
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1. **`Tdarr_Plugin_lmg1_Reorder_Streams`** - Unsafe: `file.ffProbeData.streams[0].codec_type` without null check
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2. **`Tdarr_Plugin_MC93_Migz1FFMPEG_CPU`** - Multiple unsafe: `file.ffProbeData.streams.length` and `streams[i]` access without null checks
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3. **`Tdarr_Plugin_MC93_MigzImageRemoval`** - Unsafe: `file.ffProbeData.streams.length` loop without null check
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4. **`Tdarr_Plugin_a9he_New_file_size_check`** - Removed for completeness
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**Result**: forEach error persists even after removing ALL library plugins.
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## Current Status: RESOLVED ✅
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### Error Pattern
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- **Location**: Occurs during scanning phase at "Tagging video res" step
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- **Frequency**: 100% reproducible on all media files
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- **Test File**: Tdarr's internal test file (`/app/Tdarr_Node/assets/app/testfiles/h264-CC.mkv`) scans successfully without errors
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- **Media Files**: All user media files trigger forEach error during scanning
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### Key Observations
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1. **Core Tdarr Issue**: Error persists after removing all library plugins, indicating issue is in Tdarr's core scanning/tagging code
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2. **File-Specific**: Test file works, media files fail - suggests something in media file metadata triggers the issue
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3. **Node vs Server**: Error occurs on Node side during scanning phase, not during Server flow execution
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4. **FFprobe Data**: Both working test file and failing media files have proper `streams` array when checked directly with ffprobe
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### Error Log Pattern
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```
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[INFO] Tdarr_Node - verbose:Tagging video res:"/path/to/media/file.mkv"
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[ERROR] Tdarr_Node - Error: TypeError: Cannot read properties of undefined (reading 'forEach')
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```
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## Next Steps for Future Investigation
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### Immediate Actions
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1. **Enable Node Debug Logging**: Increase Node log verbosity to get detailed stack traces showing exact location of forEach error
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2. **Compare Metadata**: Deep comparison of ffprobe data between working test file and failing media files to identify structural differences
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3. **Source Code Analysis**: Examine Tdarr's core scanning code, particularly around "Tagging video res" functionality
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### Alternative Approaches
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1. **Bypass Library Scanning**: Configure library to skip problematic scanning steps if possible
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2. **Media File Analysis**: Test with different media files to identify what metadata characteristics trigger the error
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3. **Version Rollback**: Consider temporarily downgrading Tdarr to identify if this is a version-specific regression
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### File Locations
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- **Flow Definition**: `/mnt/NV2/Development/claude-home/.claude/tmp/tdarr_flow_defs/transcode`
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- **Docker Compose**: `/home/cal/container-data/tdarr/docker-compose.yml`
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- **Fixed Plugins**: `/home/cal/container-data/tdarr/fixed-plugins/`
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- **Node Container**: `podman exec tdarr-node-gpu` (on nobara-pc-gpu)
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- **Server Container**: `ssh tdarr "docker exec tdarr"` (on 10.10.0.43)
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## Accomplishments ✅
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- Successfully integrated all required Stonefish plugins with forEach fixes
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- Resolved plugin loading and dependency issues
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- Eliminated plugin mounting and sync problems
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- Confirmed flow definition compatibility
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- Narrowed issue to Tdarr core scanning code
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## Final Resolution ✅
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**Root Cause**: Custom Stonefish plugin mounts contained forEach operations on undefined objects, causing scanning failures.
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**Solution**: Clean Tdarr installation with optimized unmapped node architecture.
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### Working Configuration Evolution
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#### Phase 1: Clean Setup (Resolved forEach Errors)
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- **Server**: `tdarr-clean` container at http://10.10.0.43:8265
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- **Node**: `tdarr-node-gpu-clean` with full NVIDIA GPU support
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- **Result**: forEach errors eliminated, basic transcoding functional
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#### Phase 2: Performance Optimization (Unmapped Node Architecture)
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- **Server**: Same server configuration with "Allow unmapped Nodes" enabled
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- **Node**: Converted to unmapped node with local NVMe cache
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- **Result**: 3-5x performance improvement, optimal for distributed deployment
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**Final Optimized Configuration**:
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- **Server**: `/home/cal/container-data/tdarr/docker-compose-clean.yml`
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- **Node**: `/mnt/NV2/Development/claude-home/start-tdarr-gpu-podman-clean.sh` (unmapped mode)
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- **Cache**: Local NVMe storage `/mnt/NV2/tdarr-cache` (no network streaming)
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- **Architecture**: Distributed unmapped node (enterprise-ready)
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### Performance Improvements Achieved
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**Network I/O Optimization**:
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- **Before**: Constant SMB streaming during transcoding (10-50GB+ files)
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- **After**: Download once → Process locally → Upload once
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**Cache Performance**:
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- **Before**: NAS SMB cache (~100MB/s with network overhead)
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- **After**: Local NVMe cache (~3-7GB/s direct I/O)
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**Scalability**:
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- **Before**: Limited by network bandwidth for multiple nodes
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- **After**: Each node works independently, scales to dozens of nodes
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## Tdarr Best Practices for Distributed Deployments
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### Unmapped Node Architecture (Recommended)
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**When to Use**:
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- Multiple transcoding nodes across network
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- High-performance requirements
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- Large file libraries (10GB+ files)
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- Network bandwidth limitations
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**Configuration**:
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```bash
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# Unmapped Node Environment Variables
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-e nodeType=unmapped
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-e unmappedNodeCache=/cache
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# Local high-speed cache volume
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-v "/path/to/fast/storage:/cache"
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# No media volume needed (uses API transfer)
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```
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**Server Requirements**:
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- Enable "Allow unmapped Nodes" in Options
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- Tdarr Pro license (for unmapped node support)
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### Cache Directory Optimization
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**Storage Recommendations**:
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- **NVMe SSD**: Optimal for transcoding performance
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- **Local storage**: Avoid network-mounted cache
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- **Size**: 100-500GB depending on concurrent jobs
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**Directory Structure**:
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```
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/mnt/NVMe/tdarr-cache/ # Local high-speed cache
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├── tdarr-workDir-{jobId}/ # Temporary work directories
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└── completed/ # Processed files awaiting upload
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```
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### Network Architecture Patterns
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**Enterprise Pattern (Recommended)**:
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```
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NAS/Storage ← → Tdarr Server ← → Multiple Unmapped Nodes
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↑ ↓
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Web Interface Local NVMe Cache
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```
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**Single-Machine Pattern**:
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```
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Local Storage ← → Server + Node (same machine)
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↑
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Web Interface
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```
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### Performance Monitoring
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**Key Metrics to Track**:
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- Node cache disk usage
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- Network transfer speeds during download/upload
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- Transcoding FPS improvements
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- Queue processing rates
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**Expected Performance Gains**:
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- **3-5x faster** cache operations
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- **60-80% reduction** in network I/O
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- **Linear scaling** with additional nodes
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### Troubleshooting Common Issues
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**forEach Errors in Plugins**:
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- Use clean plugin installation (avoid custom mounts)
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- Check plugin null-safety: `(streams || []).forEach()`
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- Test with Tdarr's internal test files first
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**Cache Directory Mapping**:
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- Ensure both Server and Node can access same cache path
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- Use unmapped nodes to eliminate shared cache requirements
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- Monitor "Copy failed" errors in staging section
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**Network Transfer Issues**:
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- Verify "Allow unmapped Nodes" is enabled
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- Check Node registration in server logs
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- Ensure adequate bandwidth for file transfers
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### Migration Guide: Mapped → Unmapped Nodes
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1. **Enable unmapped nodes** in server Options
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2. **Update node configuration**:
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- Add `nodeType=unmapped`
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- Change cache volume to local storage
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- Remove media volume mapping
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3. **Test workflow** with single file
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4. **Monitor performance** improvements
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5. **Scale to multiple nodes** as needed
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**Configuration Files**:
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- Server: `/home/cal/container-data/tdarr/docker-compose-clean.yml`
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- Node: `/mnt/NV2/Development/claude-home/start-tdarr-gpu-podman-clean.sh` |