nociza/askme-vllm

a minimal test for askme dataset generation

FleeceKMBackend

This is the backend for the FleeceKM project. It's a FastAPI application that provides APIs for managing and interacting with a dataset.

Project Structure

fleecekmbackend/: Main application directory. init.py: Initializes the application. api/: Contains the API endpoints. dataset/: Contains the endpoints for managing the dataset. qa.py: Endpoints for managing QA data. raw.py: Endpoints for managing raw data. core/: Contains core configuration files. config.py: Configuration settings for the application. db/: Contains database related files. ctl.py: Contains database control functions. helpers.py: Contains helper functions for database operations. models.py: Contains SQLAlchemy models. services/: Contains service functions. dataset/: Contains services for managing the dataset. main.py: Main entry point of the application. scripts/: Contains scripts for the project. start.sh: Script to start the application. pyproject.toml: Contains project and dependency configuration. poetry.lock: Lock file generated by Poetry. poetry.toml: Configuration file for Poetry. README.md: This file.

Development

1. Clone the repository.
2. Install the dependencies using Poetry: poetry install.
3. Start the application using the start script: ./scripts/start.sh.
4. The application will be available at http://localhost:8000.

Testing

Tests are located in the tests/ directory. There are no tests currently available.

Database

The application uses SQLite for the database. The database file is located in the db/ directory.