/gpt_assist

Primary LanguagePython

DataPilot Aide

🔍 Overview

DataPilot Aide is a dynamic partner for data engineers, analysts, and data scientists; and it's more than just a bot. Powered by OpenAI's GPT models, it offers an intuitive and intelligent helping hand, transforming complex data queries into clear insights. This bot is a fusion of Telegram's seamless interface and cutting-edge AI, making it a go-to resource for quick, accurate, and context-aware assistance. Whether it's guiding through intricate data challenges or offering analysis support, DataPilot Aide is designed to energize and streamline the workflow of data professionals, bringing a touch of AI brilliance to every interaction.

✨ Features

  • 🛠️ Professional Role Integration: Recognizes the user as a data engineer with specializations in various data engineering tools.
  • 🤝 Project and Challenge Collaboration: Offers strategies for efficient data flow and processing.
  • 🚀 Interest in Data Engineering Technologies: Keeps the user updated on the latest trends in data engineering.
  • 📚 Learning Style Adaptation: Uses practical examples and workflow diagrams for explaining concepts.
  • 💡 Analytical Problem-Solving: Integrates data engineering logic with analytical reasoning for well-rounded solutions.

💻 Tech Features

Feature Description
AI-Powered Conversations Engage in seamless and intelligent dialogues with the AI assistant, powered by OpenAI's GPT models.
Persistent Context Management The bot maintains conversation context, ensuring continuity and relevance in interactions.
Dynamic Response Generation Generates responses based on user queries, offering informative and contextually appropriate answers.
User-Specific Thread Management Manages individual threads for each user, ensuring personalized and uninterrupted conversations.
Real-Time Interaction Designed to respond promptly, providing a smooth and engaging user experience.
Error Handling Gracefully manages unexpected situations or errors, ensuring the bot remains operational and user-friendly.

🛠️ Behind the Scenes

  • Database Integration: Utilizes SQLite for managing user-specific data, ensuring efficient and secure data handling.
  • Asynchronous Operations: Leverages Python's asyncio for non-blocking operations, enhancing performance and scalability.
  • Robust Error Handling: Implements error handling mechanisms to manage and respond to various exceptions gracefully.
  • Markdown Support: Supports Markdown V2 for formatting messages, making the responses more readable and engaging.
  • Environment Variable Management: Uses environment variables for configuration, ensuring security and flexibility through tools like dotenv.

📋 Requirements

📥 Installation

  1. Clone the repository or download the script.
  2. Set up your .env file with:

👩‍💻 Usage

  1. Run the script:
    docker-compose up -d