querybot 0.2.2

A natural language interface for querying datasets using LLMs

QueryBot

A powerful web application that enables users to upload various data formats, execute SQL queries, and download results through an intuitive interface.

Table of Contents

• Overview
• Features
• Getting Started
• Development
• License
• Additional Resources
• FAQ

Overview

QueryBot is built with FastAPI for the backend and a responsive HTML/Bootstrap frontend. It provides a seamless experience for data analysis by allowing users to query multiple data sources through a unified SQL interface.

Features

• Multi-format Support: Query CSV, Parquet, SQLite, Excel files, and MySQL databases with a single interface.
  • Example: Users can upload a CSV file and query it directly.
• Interactive SQL Editor: Writes and executes SQL queries with syntax highlighting. The application automatically generates DuckDB queries and runs on datasets. It supports multiple files if the paths are provided separated by commas.
• Real-time Results: View query results instantly in a paginated table format
• Export Functionality: Download query results in CSV format for further analysis. Note: Currently, only CSV format is supported for export.
• Responsive Design: Works seamlessly across desktop and mobile devices

Getting Started

Installation

Note: Installation is optional as uvx will handle the necessary setup.

pip install querybot

Running the Application

1. Start the application with a single command using uv:

   uvx querybot
   

2. Open your web browser and navigate to http://localhost:8001 to access the QueryBot interface.

Usage

1. Upload Data: Use the interface to specify data sources by:

   • Entering file paths (multiple paths can be separated by commas, without quotes)
   • Uploading files directly through the browser

2. Supported Data Formats:

   • CSV files (.csv)
   • Parquet files (.parquet)
   • SQLite databases (.db)
   • Excel spreadsheets (.xlsx)
   • External MySQL databases (from relational-data.org)

3. Execute Queries: Write SQL queries in the editor and click "Run Query" to see results.

4. Export Results: Download query results as CSV files for further analysis or reporting.

Project Structure

/querybot
│
├── querybot              # Main package directory
│   ├── app.py            # FastAPI application entry point
│   ├── __init__.py       # Package initialization
│   ├── static            # Static assets
│   │   ├── index.html    # Main frontend interface
│   │   └── js            # JavaScript resources
│   │       └── script.js # Frontend functionality
├── pyproject.toml        # Project metadata and dependencies
├── .gitignore            # Git ignore configuration
├── uv.lock               # Dependency lock file
├── README.md             # Project documentation

Development

Prerequisites

• Python 3.8+

Setting Up Development Environment

1. Clone the repository:

   git clone https://github.com/gramener/querybot.git
   cd querybot
   

2. Install dependencies:

   pip install -e ".[dev]"
   

Deployment

Modify the pyproject.toml file to change the version number.

uv build
uv publish

This is deployed to pypi as [e-mail]

License

This project is licensed under the MIT License - see the LICENSE file for details.

Additional Resources

• QueryBot on PyPI
• Issue Tracker

Query Result

Contribution Guidelines

We welcome contributions! Please see our CONTRIBUTING.md for more details.

FAQ

Q: What data formats are supported? A: The application supports CSV, Parquet, SQLite, Excel, and MySQL formats.

Q: How do I report an issue? A: Please use the Issue Tracker to report any issues you encounter.