ai-certificate / docker-compose.yml
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Initial Space deploy: AI Certificate Analyzer
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version: '3.8'
services:
api:
build: .
ports:
- "8001:8001" # Changed from 8000 to match Dockerfile
environment:
- REDIS_URL=redis://redis:6379/0
- USE_ML=true
- REJECT_THRESHOLD=0.65
- LOG_LEVEL=INFO
volumes:
- ./data:/app/data
- ./models:/app/models
- ./uploads:/app/uploads
- ./logs:/app/logs
depends_on:
redis:
condition: service_healthy
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8001/health"] # Fixed port
interval: 30s
timeout: 10s
retries: 3
deploy:
resources:
limits:
memory: 8G
reservations:
memory: 4G
redis:
image: redis:7-alpine
ports:
- "6379:6379"
volumes:
- redis_data:/data
command: redis-server --appendonly yes --maxmemory 1gb --maxmemory-policy allkeys-lru
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 10s
timeout: 5s
retries: 3
monitoring:
image: grafana/grafana:latest
ports:
- "3000:3000"
environment:
- GF_SECURITY_ADMIN_PASSWORD=admin
- GF_INSTALL_PLUGINS=grafana-piechart-panel
volumes:
- grafana_data:/var/lib/grafana
- ./monitoring/dashboards:/etc/grafana/provisioning/dashboards
- ./monitoring/datasources:/etc/grafana/provisioning/datasources
depends_on:
- api
synthetic-generator:
build: .
command: python scripts/generate_synthetic.py --samples 10000 --tampering 0.2 --processes 2
volumes:
- ./data:/app/data
deploy:
resources:
limits:
memory: 4G
reservations:
memory: 2G
volumes:
redis_data:
grafana_data: