Dive Deep MCP

🚀 Deep Thinking

Deep Thinker is a Python-based intelligent script that aims to provide efficient computation and problem-solving capabilities by integrating various algorithms and optimization techniques. The project has both basic and advanced versions, allowing users to choose different functional modules according to their needs.

🚀 Quick Start

📦 Installation

pip install -r requirements.txt

🚀 Run the Script

python deep-thinker.py

✨ Features

Project Structure

deep-thinking/
├── README.md                 # Project description file
├── deep-thinker.py          # Deep Thinker script
├── requirements.txt        # Dependency management
└── config.json              # Configuration file

Parameter Settings

• --mode: Set the running mode (default: normal)
  • normal: Normal mode for basic thinking
  • advanced: Advanced mode to enable the deep learning module
  • debug: Debug mode to display detailed logs
• --input-file: Specify the input file path (default: stdin)
• --output-file: Specify the output file path (default: stdout)

Example Usage

# Basic thinking mode
python deep-thinker.py --mode normal

# Enable advanced module
python deep-thinker.py --mode advanced

# Debug mode
python deep-thinker.py --mode debug

Configuration File Explanation

The config.json file is used to store the configuration parameters for the project runtime:

{
  "version": "1.0",
  "log_level": "info", // Optional values: debug, info, warning, error, critical
  "modules": {
    "advanced_mode": false,
    "optimization": true,
    "parallel_processing": false
  }
}

Return Format

{
  "status": "success", // Or "error"
  "message": "Processing completed",
  "result": {
    // Specific result content
  },
  "timestamp": "2023-10-19T14:30:00.000Z"
}

Error Handling

Common Error Codes

• 100: Input file not found
• 101: Configuration file loading failed
• 200: No available resources
• 500: Internal server error

Logging

[INFO] 2023-10-19T14:30:00.000Z - deep-thinker.py - Starting execution in normal mode

Update History

v1.0

• Initial version released

v1.1

• Added support for advanced mode
• Optimized the logging module
• Fixed known bugs

References

• Python Official Documentation
• Deep Learning Getting Started Guide
• Configuration Management Best Practices

Project License

MIT License

MIT License

Copyright (c) 2023 Your Name

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Contribution Guide

How to Contribute Code

1. Fork the project repository
2. Create a feature branch
3. Commit your changes
4. Push to the remote repository
5. Submit a Pull Request

List of Contributors

• Maintainer: Your Name
• Contributors: Contributor Name

Project Maintenance

Maintenance Team

• Project Leader: Your Name
• Dev Team: Dev Member 1, Dev Member 2
• QA Team: QA Member 1, QA Member 2

Collaboration Tools

• Project Management: GitLab
• Issue Tracking: GitHub Issues
• Document Management: Confluence

Appendix

Environment Variables

export DEEP_THINKER_HOME=/path/to/project

Debug Commands

python deep-thinker.py --mode debug --input-file test_input.txt

⚠️ Important Note

For more detailed information, please refer to the project documentation and related reference links.