netv/docker-compose.yml at main · jvdillon/netv · GitHub

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# Docker Compose for neTV
#
# Build:
#   docker compose build                              # Default (optimized FFmpeg)
#   FFMPEG_IMAGE=ubuntu:24.04 docker compose build    # Alternative (apt FFmpeg)
#
# Run:
#   docker compose up -d                    # Auto-detects hardware (Intel/AMD)
#   docker compose --profile nvidia up -d   # NVIDIA GPU (driver 580+, Turing+)
#
# NVIDIA with older drivers/GPUs (see README for driver/compute compatibility):
#   FFMPEG_IMAGE=ghcr.io/jvdillon/netv-ffmpeg:cuda12.8 docker compose --profile nvidia up -d
#
# Local CUDA 12.4 FFmpeg build (from Dockerfile.ffmpeg):
#   docker build --progress plain --build-arg NVIDIA=cuda:12.4 --build-arg FFMPEG_BASE_IMAGE=ubuntu:22.04 -f Dockerfile.ffmpeg -t netv-ffmpeg:cuda12.4 .
#   FFMPEG_IMAGE=netv-ffmpeg:cuda12.4 docker compose --profile nvidia build
#   FFMPEG_IMAGE=netv-ffmpeg:cuda12.4 docker compose --profile nvidia up -d
#
# No GPU or /dev/dri? Comment out the 'devices' section below.

services:
  netv:
    build:
      context: .
      args:
        FFMPEG_IMAGE: ${FFMPEG_IMAGE:-ghcr.io/jvdillon/netv-ffmpeg:latest}
    image: netv
    container_name: netv
    ports:
      - "${NETV_PORT:-8000}:8000"
    environment:
      - NETV_PORT=8000
      - NETV_HTTPS=${NETV_HTTPS:-}
      - LOG_LEVEL=INFO  # DEBUG for verbose logging
    volumes:
      - ./cache:/app/cache
      - /etc/localtime:/etc/localtime:ro  # Use host timezone for EPG
      # For HTTPS, also mount your certificates:
      # - /etc/letsencrypt:/etc/letsencrypt:ro
      # Use system RAM instead of using local storage to store transcodes
      # - /dev/shm:/tmp
    restart: unless-stopped
    # Hardware acceleration (Intel/AMD) - comment out if no /dev/dri
    devices:
      - /dev/dri:/dev/dri

  # Xtream-compatible endpoint for native IPTV players.
  netv-gateway:
    build:
      context: .
      dockerfile: Dockerfile.gateway
    image: netv-gateway
    container_name: netv-gateway
    ports:
      - "${NETV_GATEWAY_PORT:-8100}:8100"
    environment:
      - NETV_MODE=gateway
      - NETV_GATEWAY_PORT=8100
      - NETV_GATEWAY_PUBLIC_URL=${NETV_GATEWAY_PUBLIC_URL:-}
      - NETV_GATEWAY_TRUSTED_PROXIES=${NETV_GATEWAY_TRUSTED_PROXIES:-127.0.0.1}
      - LOG_LEVEL=INFO
    volumes:
      - ./cache:/app/cache
      - /etc/localtime:/etc/localtime:ro
    restart: unless-stopped
    healthcheck:
      test:
        - CMD
        - python3
        - -c
        - "import urllib.request; r=urllib.request.urlopen('http://localhost:8100/healthz', timeout=5); exit(0 if r.status==200 else 1)"
      interval: 30s
      timeout: 10s
      start_period: 10s
      retries: 3

  # NVIDIA-capable gateway on the standard port. It follows the AI Upscale
  # setting from the web UI and uses passthrough when no model is selected.
  # Stop netv-gateway before starting this alternative service.
  netv-gateway-upscale:
    build:
      context: .
      dockerfile: Dockerfile.ai_upscale
    image: netv-ai-upscale
    container_name: netv-gateway
    profiles:
      - upscale
    ports:
      - "${NETV_GATEWAY_PORT:-8100}:8100"
    environment:
      - NETV_MODE=gateway
      - NETV_GATEWAY_PORT=8100
      - NETV_GATEWAY_PUBLIC_URL=${NETV_GATEWAY_PUBLIC_URL:-}
      - NETV_GATEWAY_TRUSTED_PROXIES=${NETV_GATEWAY_TRUSTED_PROXIES:-127.0.0.1}
      - LOG_LEVEL=INFO
    volumes:
      - ./cache:/app/cache
      - netv-models:/models
      - /etc/localtime:/etc/localtime:ro
    restart: unless-stopped
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]

  # NVIDIA GPU: docker compose --profile nvidia up -d
  netv-nvidia:
    extends:
      service: netv
    container_name: netv
    profiles:
      - nvidia
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]

volumes:
  netv-models: