A Python package for querying databases using natural language.
Project description
askmydb
A Python package for querying databases using natural language.
Overview
askmydb allows you to interact with your databases by asking questions in natural language. It leverages large language models (LLMs) to convert your queries into SQL and execute them on the specified database.
Features
- Query databases using natural language prompts.
- Supports multiple LLM providers (e.g. OpenAI, Ollama, etc).
- Works with SQLite and other databases supported by SQLAlchemy.
- Easy to set up and use.
- Retrieve database schema in both JSON and human-readable text formats.
Installation
Install the package and its dependencies using pip:
pip install askmydb
The package requires the following dependencies:
- openai
- ollama
- sqlalchemy
You can install these dependencies individually if needed:
pip install openai ollama sqlalchemy
Usage
Below are examples of how to use askmydb with different LLM providers.
Using OllamaProvider
from askmydb import AskMyDB
from askmydb.llm.ollama_provider import OllamaProvider
if __name__ == "__main__":
llm = OllamaProvider(base_url="http://localhost:32768", model="qwen2.5:1.5b")
askDb = AskMyDB(db_url="sqlite:///IMDB.db", llm=llm)
query, result = askDb.ask("get the movies on action genre with rating more than 5 sort it high to low")
print(result)
Using OpenAIProvider (via OpenRouter)
from askmydb import AskMyDB
from askmydb.llm.openai_provider import OpenAIProvider
if __name__ == "__main__":
llm = OpenAIProvider(api_key="your_api_key_here", base_url="https://openrouter.ai/api/v1", model="meta-llama/llama-4-maverick:free")
askDb = AskMyDB(db_url="sqlite:///IMDB.db", llm=llm)
query, result = askDb.ask("get the movies on action genre with rating more than 5 sort it high to low")
print(query, result)
Retrieving Database Schema
askmydb allows you to retrieve the database schema in two formats: JSON and human-readable text. This can be useful for understanding the structure of your database programmatically or for display purposes.
You can use the following methods of the AskMyDB class:
get_schema_json(): Returns the schema as a JSON-like dictionary.get_schema_text(): Returns the schema as a formatted string for human readability.
Example
from askmydb import AskMyDB
from askmydb.llm.openai_provider import OpenAIProvider
if __name__ == "__main__":
llm = OpenAIProvider(api_key="your_api_key_here", base_url="https://openrouter.ai/api/v1", model="meta-llama/llama-4-maverick:free")
askDb = AskMyDB(db_url="sqlite:///IMDB.db", llm=llm)
# Get schema in JSON format
schema_json = askDb.get_schema_json()
print("Schema (JSON):", schema_json)
# Get schema in text format
schema_text = askDb.get_schema_text()
print("Schema (Text):", schema_text)
License
This project is licensed under the MIT License.
Author and Repository
Author: Shanthosh
Email: shanthubolt@gmail.com
Repository: https://github.com/Msalways/Ask-My-DB
Custom LLM Provider Example
You can create your own custom LLM provider by subclassing LLMProvider. Below is an example implementation of a CustomProvider:
from askmydb.llm.base import LLMProvider
from askmydb.llm.sql_prompt import build_sql_prompt, build_system_prompt
class CustomProvider(LLMProvider):
def __init__(self, base_url, model, temperature):
self.base_url = base_url
self.model = model
self.temperature = temperature
def generate_sql(self, prompt: str, schema: str) -> str:
system_prompt = build_system_prompt()
full_prompt = build_sql_prompt(prompt, schema)
# Implement your custom logic here to generate the SQL query using your LLM
query = None
return query
Using CustomProvider
from askmydb import AskMyDB
from my_custom_provider import CustomProvider
if __name__ == "__main__":
llm = CustomProvider(base_url="your_base_url", model="your_model", temperature=0.7)
askDb = AskMyDB(db_url="sqlite:///IMDB.db", llm=llm)
query, result = askDb.ask("get the movies on action genre with rating more than 5 sort it high to low")
print(query, result)
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