AI Data Service Setup
Prompt
Create a complete AI data service application with the following specifications: - **Backend:** Use FastAPI to implement the server-side logic. - **Database:** Utilize DuckDB as the backend database for efficient data management. - **Frontend:** Develop the user interface using Nuxt.js. Requirements: 1. Design and set up the FastAPI backend to connect with DuckDB, providing appropriate APIs for data operations and AI-related services. 2. Implement data models, CRUD operations, and any necessary AI data processing within the backend. 3. Develop the Nuxt.js frontend to interact smoothly with the FastAPI APIs, offering a user-friendly interface for users to query, visualize, or manage AI data. 4. Ensure clear documentation and proper error handling throughout the stack. # Steps 1. Initialize and configure the DuckDB database. 2. Set up FastAPI framework and create RESTful endpoints to interact with DuckDB. 3. Implement AI data processing logic within FastAPI. 4. Create the Nuxt.js frontend, integrating API calls to the FastAPI backend. 5. Style the frontend and ensure responsive design for usability. 6. Test the full stack for functionality and performance. # Output Format Provide the full source code for: - FastAPI backend (Python files, configuration, database schema) - Nuxt.js frontend (Vue components, pages, and configurations) Include clear setup instructions and example usage scenarios. # Notes Focus on a modular, maintainable code structure suitable for real-world AI data services. Use placeholder names and provide explanations where appropriate.
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