Claude
df4ddc2d8c
- Fix database path mismatch: download_sample_eyes.py now uses ai_photo_edit.db instead of photoedit.db - Add init_database.py script to initialize DB before eye import - Add AUTO_DOWNLOAD_SAM=true environment variable (default: enabled) - Update entrypoint.sh to: 1. Initialize database first 2. Auto-download SAM model (~375MB) on first startup 3. Then import eyes (now works since DB exists) - Update path detection to work in both Docker and local environments
47 lines
1.2 KiB
YAML
47 lines
1.2 KiB
YAML
version: '3.8'
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services:
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backend:
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build:
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context: ./backend
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dockerfile: Dockerfile
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container_name: ai-photo-edit-backend
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ports:
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- "8101:8000" # External 8101, internal 8000
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volumes:
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- ./data:/app/data
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- ./backend:/app
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- ./scripts:/scripts
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environment:
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- DATABASE_URL=sqlite:///./data/ai_photo_edit.db
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- SECRET_KEY=${SECRET_KEY:-change-this-secret-key-in-production}
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- AI_PROVIDER=${AI_PROVIDER:-mock}
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- OPENAI_API_KEY=${OPENAI_API_KEY:-}
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- STABILITY_API_KEY=${STABILITY_API_KEY:-}
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- REPLICATE_API_KEY=${REPLICATE_API_KEY:-}
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- CORS_ORIGINS=http://localhost:5173,http://localhost:3000,http://localhost
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- AUTO_DOWNLOAD_SAM=${AUTO_DOWNLOAD_SAM:-true}
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restart: unless-stopped
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networks:
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- ai-photo-edit-network
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frontend:
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build:
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context: ./frontend
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dockerfile: Dockerfile
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container_name: ai-photo-edit-frontend
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ports:
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- "3080:80" # Frontend on port 3080
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depends_on:
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- backend
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restart: unless-stopped
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networks:
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- ai-photo-edit-network
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networks:
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ai-photo-edit-network:
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driver: bridge
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volumes:
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data:
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