mirror of
https://github.com/escalante29/healthy-fit.git
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5dc6dc88f7
Set up backend and frontend structure for a health and fitness tracker using Python (FastAPI, SQLModel, DSPy) and React. Includes Docker and Compose configs, authentication, nutrition AI module, health/nutrition/user endpoints, database models, and basic frontend with routing and context. Enables tracking nutrition, health metrics, and user management, with architecture ready for future mobile and cloud deployment.
51 lines
1.1 KiB
YAML
51 lines
1.1 KiB
YAML
services:
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db:
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image: pgvector/pgvector:pg16
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environment:
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POSTGRES_USER: ${POSTGRES_USER}
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POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
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POSTGRES_DB: ${POSTGRES_DB}
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volumes:
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- postgres_data:/var/lib/postgresql/data
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ports:
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- "5435:5432"
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healthcheck:
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test: [ "CMD-SHELL", "pg_isready -U user -d healthyfit" ]
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interval: 10s
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timeout: 5s
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retries: 5
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backend:
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build:
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context: ./backend
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dockerfile: Dockerfile
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volumes:
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- ./backend:/app
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ports:
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- "8000:8000"
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environment:
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- DATABASE_URL=postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@db:5432/${POSTGRES_DB}
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# - OPENAI_API_KEY=${OPENAI_API_KEY}
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- OPENAI_API_KEY=${OPENAI_API_KEY}
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depends_on:
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db:
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condition: service_healthy
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command: uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload
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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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volumes:
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- ./frontend:/app
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- /app/node_modules
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ports:
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- "5173:5173"
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environment:
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- VITE_API_URL=${VITE_API_URL}
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depends_on:
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- backend
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volumes:
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postgres_data:
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