54 lines
1.8 KiB
YAML
54 lines
1.8 KiB
YAML
services:
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dispatcharr:
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# build:
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# context: .
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# dockerfile: Dockerfile
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image: ghcr.io/dispatcharr/dispatcharr:latest
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container_name: dispatcharr
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#ports:
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# - 9191:9191
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network_mode: host
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volumes:
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- dispatcharr_data:/data
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- /network/Datas/VOD/movies:/movies
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- /network/Datas/VOD/series:/series
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- /network/Datas/VOD/VOD:/vod
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restart: always
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environment:
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- DISPATCHARR_ENV=aio
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- REDIS_HOST=localhost
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- CELERY_BROKER_URL=redis://localhost:6379/0
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- DISPATCHARR_LOG_LEVEL=debug
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# - LIBVA_DRIVER_NAME=radeonsi
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group_add:
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- video
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- render
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# Legacy CPU Support (Optional)
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# Uncomment to enable legacy NumPy build for older CPUs (circa 2009)
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# that lack support for newer baseline CPU features
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#- USE_LEGACY_NUMPY=true
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# Process Priority Configuration (Optional)
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# Lower values = higher priority. Range: -20 (highest) to 19 (lowest)
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# Negative values require cap_add: SYS_NICE (uncomment below)
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#- UWSGI_NICE_LEVEL=-5 # uWSGI/FFmpeg/Streaming (default: 0, recommended: -5 for high priority)
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#- CELERY_NICE_LEVEL=5 # Celery/EPG/Background tasks (default: 5, low priority)
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#
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# Uncomment to enable high priority for streaming (required if UWSGI_NICE_LEVEL < 0)
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#cap_add:
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# - SYS_NICE
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# Optional for hardware acceleration
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devices:
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- /dev/dri:/dev/dri # For Intel/AMD GPU acceleration (VA-API)
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# Uncomment the following lines for NVIDIA GPU support
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# NVidia GPU support (requires NVIDIA Container Toolkit)
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [gpu]
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volumes:
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dispatcharr_data: |