76 lines
2.3 KiB
YAML
76 lines
2.3 KiB
YAML
services:
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backend:
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image: "${HARBOR_REGISTRY:-114.55.99.6:10081}/wordcloud/wordcloud-backend:${IMAGE_TAG:-latest}"
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build:
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context: ./backend
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dockerfile: Dockerfile
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container_name: wordcloud-backend
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ports:
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- "8000:8000"
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environment:
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CLEANUP_APPLY_ENABLED: "${CLEANUP_APPLY_ENABLED:-false}"
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AI_CONVERTER_URL: http://ai-converter:8090
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volumes:
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- wordcloud_workspace:/app/service_workspace
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- wordcloud_assets:/app/service_assets
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- wordcloud_projects:/app/service_projects
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- wordcloud_design_templates:/app/service_design_templates
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- wordcloud_fonts:/app/service_fonts
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- wordcloud_products:/app/service_products
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- wordcloud_metadata:/app/service_metadata
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- wordcloud_orders:/app/service_orders
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restart: unless-stopped
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depends_on:
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ai-converter:
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condition: service_healthy
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/api/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 60s
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# Private SVG -> AI5 converter. It deliberately has no published host port;
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# browser traffic must go through the backend's /api/exports/ai endpoint.
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ai-converter:
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image: "${HARBOR_REGISTRY:-114.55.99.6:10081}/wordcloud/wordcloud-ai-converter:${IMAGE_TAG:-latest}"
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build:
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context: ./ai-converter
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dockerfile: Dockerfile
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container_name: wordcloud-ai-converter
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restart: unless-stopped
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read_only: true
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tmpfs:
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- /tmp
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security_opt:
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- no-new-privileges:true
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healthcheck:
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test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8090/health', timeout=3).read()"]
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interval: 30s
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timeout: 5s
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retries: 3
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start_period: 15s
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frontend:
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image: "${HARBOR_REGISTRY:-114.55.99.6:10081}/wordcloud/wordcloud-frontend:${IMAGE_TAG:-latest}"
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build:
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context: ./frontend
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dockerfile: Dockerfile
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container_name: wordcloud-frontend
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ports:
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- "3000:80"
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depends_on:
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backend:
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condition: service_healthy
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restart: unless-stopped
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volumes:
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wordcloud_workspace:
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wordcloud_assets:
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wordcloud_projects:
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wordcloud_design_templates:
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wordcloud_fonts:
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wordcloud_products:
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wordcloud_metadata:
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wordcloud_orders:
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