Implement MAC-SQL as a backend service.

• Change database schema representation to code representation
• Change foreign keys representation to dictionary representation
• Use DIN-SQL self-correction in the refiner

Set up environment

conda create -n nl2sql_cs6101 python=3.10
conda activate nl2sql_cs6101
pip install -r requirements.txt

Set LLM

• If use OpenAI LLMs, change the API_KEY in app/core/llm.py to your own key
• If use self-deployed LLMs, add/change corrsponding code in app/core/llm.py

Set Database

• Change the ds_url in app/app.py to your database url
• Change the corresponding content in the app/datasource.json

cd app
python app.py

The service will start at port 18080

• Request url: localhost:18080/predict
• Request body Content-Type: application/json

{
    "natural_language_query": "Show name, country, age for all singers ordered by age from the oldest to the youngest."
}

{
    "success": False,
    "message": "Content-Type must be application/json"
}

or

{
    "success": true,
    "sql_queries": [
        "SELECT \"Name\", \"Country\", \"Age\"     FROM singer     ORDER BY \"Age\" DESC"
    ]
}