This project is a simple chatbot application built using Python, integrating a database for chat history storage and a language model service to generate responses. The chatbot can handle user messages, manage chat history, and terminate conversations upon receiving a `/stop` command.
## Features
- **Conversation Handling**: The bot processes user inputs and generates responses using a language model service.
- **Database Integration**: Stores chat data (user messages and bot responses) and maintains chat history.
- **Session Management**: Supports starting and terminating chat sessions, including proper logging of start and end times.
- **Message Truncation**: Limits conversation history to the last few messages if the conversation exceeds a large number of entries.
## Components
- **`Chatbot` Class**: Core logic for handling user messages and managing the chat lifecycle.
- **`Database` (Mocked in tests)**: Handles chat data storage (methods for inserting and retrieving data).
- **`LLM Service` (Mocked in tests)**: Generates responses to user input based on conversation history.
## Installation
1. Clone the repository:
2. Install the necessary dependencies
```bash
pip3 install requirements.txt
```
4. Run the bot or test it using `doctest`:
```bash
python3 -m doctest -v chatbot.py
```
## Usage
1.**Create Database**: Create a databse named `ChatDB` in Mysql
7.**Handling Messages**: run below command to start the chat in console, you can login to your Database to check the chat history
```python
python3 main.py
```
10.**Ending the Chat**: When the user sends `/stop`, the chat will terminate and log the end of the conversation with the message 'conversation-terminated'
## Testing
The code includes basic `doctests` to verify the chatbot's functionality using mock services for the database and language model:
