fe6730ce72
- Central config with logging on startup - Hot reload support for GPU worker (docker-compose.gpu-dev.yml) - Quick deploy script (scripts/gpu-dev-deploy.sh) - GPU/CPU frame compatibility tests - CI/CD pipeline for GPU worker (.gitea/workflows/gpu-worker.yml) - Standardize GPU_PERSIST default to 0 across all modules Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
37 lines
1.3 KiB
YAML
37 lines
1.3 KiB
YAML
# GPU Worker Development Override
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#
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# Usage: docker stack deploy -c docker-compose.yml -c docker-compose.gpu-dev.yml celery
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# Or for quick testing: docker-compose -f docker-compose.yml -f docker-compose.gpu-dev.yml up l1-gpu-worker
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#
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# Features:
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# - Mounts source code for instant changes (no rebuild needed)
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# - Uses watchmedo for auto-reload on file changes
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# - Shows config on startup
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version: '3.8'
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services:
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l1-gpu-worker:
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# Override command to use watchmedo for auto-reload
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command: >
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sh -c "
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pip install -q watchdog[watchmedo] 2>/dev/null || true;
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echo '=== GPU WORKER DEV MODE ===';
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echo 'Source mounted - changes take effect on restart';
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echo 'Auto-reload enabled via watchmedo';
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env | grep -E 'STREAMING_GPU|IPFS_GATEWAY|REDIS|DATABASE' | sort;
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echo '===========================';
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watchmedo auto-restart --directory=/app --pattern='*.py' --recursive -- \
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celery -A celery_app worker --loglevel=info -E -Q gpu,celery
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"
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environment:
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# Development defaults (can override with .env)
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- STREAMING_GPU_PERSIST=0
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- IPFS_GATEWAY_URL=https://celery-artdag.rose-ash.com/ipfs
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- SHOW_CONFIG=1
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volumes:
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# Mount source code for hot reload
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- ./:/app:ro
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# Keep cache local
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- gpu_cache:/data/cache
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