File size: 1,714 Bytes
dc4e6da | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 | version: '3.8'
services:
# Redis for background job queue
redis:
image: redis:7-alpine
ports:
- "6379:6379"
volumes:
- redis_data:/data
command: redis-server --appendonly yes
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 10s
timeout: 3s
retries: 3
# DocGenie API Server
api:
build:
context: .
dockerfile: Dockerfile
ports:
- "8000:8000"
environment:
- REDIS_URL=redis://redis:6379
- HANDWRITING_SERVICE_URL=http://handwriting:8080
- PORT=8000
env_file:
- api/.env
depends_on:
- redis
command: uvicorn main:app --host 0.0.0.0 --port 8000 --reload
working_dir: /app/api
volumes:
- ./api:/app/api
- ./docgenie:/app/docgenie
# Background Worker for async jobs
worker:
build:
context: .
dockerfile: Dockerfile
environment:
- REDIS_URL=redis://redis:6379
- HANDWRITING_SERVICE_URL=http://handwriting:8080
env_file:
- api/.env
depends_on:
- redis
command: rq worker --url redis://redis:6379
working_dir: /app/api
volumes:
- ./api:/app/api
- ./docgenie:/app/docgenie
# Handwriting Service (GPU)
# Note: Requires nvidia-docker for GPU access
handwriting:
build:
context: handwriting_service
dockerfile: Dockerfile
ports:
- "8080:8080"
environment:
- DEVICE=cuda
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [gpu]
volumes:
- ./handwriting_service:/app
- ./WordStylist:/app/WordStylist
volumes:
redis_data:
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