ccdd7ee8b4
## Tdarr Plugin Stack Research & Configuration - Research optimal H.265/HEVC plugin stacks for quality-focused transcoding - Configure GPU threshold (95%) to prevent self-termination during transcoding - Add Tdarr exception logic to distinguish transcoding from gaming GPU usage - Update gaming detection to preserve active transcoding jobs ## Automated System Maintenance - Add cron job for automatic cleanup of abandoned Tdarr temp directories - Cleanup runs every 6 hours, preserves active jobs (< 6 hours old) - Prevents /tmp filesystem bloat from interrupted transcoding jobs - Safe cleanup only targets Tdarr-specific work directories ## Enhanced Documentation - Add comprehensive Tdarr automation documentation in scripts/tdarr/README.md - Document cleanup system and its relationship to main scheduler - Update CLAUDE.md with Tdarr keyword triggers and context loading - Add troubleshooting section for both scheduler and cleanup cron jobs ## System Architecture Improvements - Organize Tdarr scripts under dedicated scripts/tdarr/ directory - Maintain backwards compatibility with existing cron jobs - Add gaming-aware scheduling with configurable time windows - Implement robust GPU usage detection with Tdarr transcoding awareness 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
75 lines
2.5 KiB
Bash
Executable File
75 lines
2.5 KiB
Bash
Executable File
#!/bin/bash
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# Tdarr Unmapped Node with GPU Support - NVMe Cache Optimization
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# This script starts an unmapped Tdarr node with local NVMe cache
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set -e
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CONTAINER_NAME="tdarr-node-gpu-unmapped"
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SERVER_IP="10.10.0.43"
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SERVER_PORT="8266" # Standard server port
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NODE_NAME="nobara-pc-gpu-unmapped"
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echo "🚀 Starting UNMAPPED Tdarr Node with GPU support using Podman..."
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# Stop and remove existing container if it exists
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if podman ps -a --format "{{.Names}}" | grep -q "^${CONTAINER_NAME}$"; then
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echo "🛑 Stopping existing container: ${CONTAINER_NAME}"
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podman stop "${CONTAINER_NAME}" 2>/dev/null || true
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podman rm "${CONTAINER_NAME}" 2>/dev/null || true
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fi
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# Create required directories
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echo "📁 Creating required directories..."
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mkdir -p ./media ./tmp
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# Start Tdarr node with GPU support - CLEAN VERSION
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echo "🎬 Starting Clean Tdarr Node container..."
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podman run -d --name "${CONTAINER_NAME}" \
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--gpus all \
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--restart unless-stopped \
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-e TZ=America/Chicago \
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-e UMASK_SET=002 \
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-e nodeName="${NODE_NAME}" \
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-e serverIP="${SERVER_IP}" \
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-e serverPort="${SERVER_PORT}" \
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-e nodeType=unmapped \
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-e inContainer=true \
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-e ffmpegVersion=6 \
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-e logLevel=DEBUG \
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-e NVIDIA_DRIVER_CAPABILITIES=all \
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-e NVIDIA_VISIBLE_DEVICES=all \
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-v "/mnt/NV2/tdarr-cache:/cache" \
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ghcr.io/haveagitgat/tdarr_node:latest
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echo "⏳ Waiting for container to initialize..."
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sleep 5
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# Check container status
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if podman ps --format "{{.Names}}" | grep -q "^${CONTAINER_NAME}$"; then
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echo "✅ Unmapped Tdarr Node is running successfully!"
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echo ""
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echo "📊 Container Status:"
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podman ps --filter "name=${CONTAINER_NAME}" --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
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echo ""
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echo "🔍 Testing GPU Access:"
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if podman exec "${CONTAINER_NAME}" nvidia-smi --query-gpu=name --format=csv,noheader,nounits 2>/dev/null; then
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echo "🎉 GPU is accessible in container!"
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else
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echo "⚠️ GPU test failed, but container is running"
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fi
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echo ""
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echo "🌐 Connection Details:"
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echo " Server: ${SERVER_IP}:${SERVER_PORT}"
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echo " Node Name: ${NODE_NAME}"
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echo " Web UI: http://${SERVER_IP}:8265"
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echo ""
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echo "📋 Container Management:"
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echo " View logs: podman logs ${CONTAINER_NAME}"
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echo " Stop: podman stop ${CONTAINER_NAME}"
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echo " Remove: podman rm ${CONTAINER_NAME}"
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else
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echo "❌ Failed to start container"
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echo "📋 Checking logs..."
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podman logs "${CONTAINER_NAME}" --tail 10
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exit 1
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fi |