WeChatFerry Countdown Bot

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A WeChat bot based on WeChatFerry that provides countdown functionality and integrates with various AI models for chat interactions.

For a detailed project introduction, please visit my blog post: Pi3's Notes

Features

• Countdown management (add, delete, list, set reminder time)
• Integration with multiple AI models:
  • Qwen (通义千问)
  • Qwen VL (通义千问 VL, supports image input)
  • Spark (讯飞星火)
• Automatic friend request acceptance
• Multi-user support
• Logging system

Requirements

• Python 3.7+
• WeChatFerry
• Other dependencies listed in requirements.txt

Installation

1. Clone the repository:

   git clone https://github.com/Pi3-l22/WeChat_CountDownDay_Bot.git
   cd WeChat_CountDownDay_Bot
   

2. Install the required packages:

   pip install -r requirements.txt
   

3. Set up API keys:

   • Add Qwen API key to environment variables with the name DASHSCOPE_API_KEY
   • Update Spark API credentials in SparkChat.py

Usage

Log in to the bot's WeChat account on your computer's WeChat program.

Run the main script:

python main.py

The bot will start and listen for WeChat messages.

Commands

Enter the following commands directly in the chat window with the bot in WeChat:

• $help: View help information
• $version: View version information
• $add [title] [date]: Add a countdown
• $del [title]: Delete a countdown
• $list: List all countdowns
• $set [time]: Set daily reminder time
• $send [wxid]: Set countdown recipient(s)
• $qwen: Switch to Qwen model
• $qwenvl: Switch to Qwen VL model
• $spark: Switch to Spark model
• $clear: Clear model history messages

Project Structure

• main.py: Main entry point and message processing
• CountDown.py: Countdown functionality
• QwenChat.py: Qwen model integration
• QwenVL.py: Qwen VL model integration
• SparkApi.py: Spark API implementation
• SparkChat.py: Spark model integration

Configuration

• Countdown data is stored in count_down_days.json
• Contact and chatroom information is saved in contacts.csv and chatroom.csv
• Logs are saved in run.log

License

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

Acknowledgments

• WeChatFerry for providing the WeChat bot framework
• Qwen for the AI model
• Spark for the AI model