# Hardware Acceleration (Intel QuickSync)
# Enables GPU acceleration for video transcoding
#
# Prerequisites:
# - Node with Intel GPU
# - GPU device plugin installed in cluster
#
# Usage:
#   helm install jellyfin jellyfin/jellyfin -f hardware-acceleration.yaml
#
# For other GPU types (AMD/NVIDIA), adjust device paths and security context accordingly.
# See: https://jellyfin.org/docs/general/administration/hardware-acceleration/

# Security context for hardware acceleration
securityContext:
  # Required capabilities for GPU access
  capabilities:
    add:
      - SYS_ADMIN
    drop:
      - ALL
  privileged: false
  runAsUser: 1000
  runAsGroup: 1000
  fsGroup: 1000

# Mount GPU device
volumes:
  - name: render-device
    hostPath:
      path: /dev/dri
      type: Directory

volumeMounts:
  - name: render-device
    mountPath: /dev/dri

# Optional: Resource limits for GPU
# Uncomment and adjust for your GPU device plugin
# resources:
#   limits:
#     gpu.intel.com/i915: 1
#   requests:
#     gpu.intel.com/i915: 1

# Persistent storage
persistence:
  config:
    enabled: true
    size: 10Gi
  media:
    enabled: true
    size: 500Gi
  cache:
    enabled: true
    size: 50Gi  # Larger cache for transcoding

# Transcoding environment variables (optional)
jellyfin:
  env:
    - name: JELLYFIN_PublishedServerUrl
      value: "https://jellyfin.example.com"