revert to simple version

This commit is contained in:
2026-02-06 21:34:53 +01:00
parent dd5e701332
commit e749b14c8f
+41 -32
View File
@@ -1,36 +1,45 @@
services: services:
db: dispatcharr:
image: postgres:14 # build:
container_name: dispatcharr_db # context: .
ports: # dockerfile: Dockerfile
- "5436:5432"
environment:
- POSTGRES_DB=dispatcharr
- POSTGRES_USER=dispatch
- POSTGRES_PASSWORD=secret
volumes:
- /var/lib/docker/volumes/dispatcharr/postgre/:/var/lib/postgresql/data
redis:
image: redis:latest
container_name: dispatcharr_redis
celery:
image: ghcr.io/dispatcharr/dispatcharr:latest image: ghcr.io/dispatcharr/dispatcharr:latest
container_name: dispatcharr_celery container_name: dispatcharr
depends_on: ports:
- db - 9191:9191
- redis
volumes: volumes:
- /var/lib/docker/volumes/dispatcharr/celery/:/app - dispatcharr_data:/data
#extra_hosts:
# - "host.docker.internal:host-gateway"
environment: environment:
- POSTGRES_HOST=db - DISPATCHARR_ENV=aio
- POSTGRES_DB=dispatcharr - REDIS_HOST=localhost
- POSTGRES_USER=dispatch - CELERY_BROKER_URL=redis://localhost:6379/0
- POSTGRES_PASSWORD=secret - DISPATCHARR_LOG_LEVEL=info
- REDIS_HOST=redis # Legacy CPU Support (Optional)
- CELERY_BROKER_URL=redis://redis:6379/0 # Uncomment to enable legacy NumPy build for older CPUs (circa 2009)
#command: > # that lack support for newer baseline CPU features
# bash -c "cd /app && nice -n 5 celery -A dispatcharr worker -l info" #- USE_LEGACY_NUMPY=true
# Process Priority Configuration (Optional)
# Lower values = higher priority. Range: -20 (highest) to 19 (lowest)
# Negative values require cap_add: SYS_NICE (uncomment below)
#- UWSGI_NICE_LEVEL=-5 # uWSGI/FFmpeg/Streaming (default: 0, recommended: -5 for high priority)
#- CELERY_NICE_LEVEL=5 # Celery/EPG/Background tasks (default: 5, low priority)
#
# Uncomment to enable high priority for streaming (required if UWSGI_NICE_LEVEL < 0)
#cap_add:
# - SYS_NICE
# Optional for hardware acceleration
#devices:
# - /dev/dri:/dev/dri # For Intel/AMD GPU acceleration (VA-API)
# Uncomment the following lines for NVIDIA GPU support
# NVidia GPU support (requires NVIDIA Container Toolkit)
#deploy:
# resources:
# reservations:
# devices:
# - driver: nvidia
# count: all
# capabilities: [gpu]
volumes:
dispatcharr_data: