MetaGPT Project

This project is a Python project that uses the MetaGPT package to perform actions. It includes a virtual environment named meta_env, test code to test the action component from MetaGPT, and debug launch tasks.

Directory Structure

The project has the following directory structure:

metagpt_project
├── meta_env
│   ├── bin
│   ├── include
│   ├── lib
│   └── pyvenv.cfg
├── src
│   ├── main.py
│   ├── utils.py
│   └── tests
│       └── test_actions.py
├── .gitignore
├── README.md
├── requirements.txt
├── launch.json
├── tasks.json
└── init_git.sh

Files

• meta_env/: This directory contains the virtual environment for the project.
• src/main.py: This file is the main entry point of the project. It contains the code to run the MetaGPT package and perform the desired actions.
• src/utils.py: This file contains helper functions and classes used by main.py.
• src/tests/test_actions.py: This file contains test cases for the action component of the MetaGPT package.
• .gitignore: This file specifies files and directories that should be ignored by Git.
• README.md: This file contains the documentation for the project.
• requirements.txt: This file lists the required packages for the project, including the MetaGPT package.
• launch.json: This file is used to configure the debugger for running the project.
• tasks.json: This file is used to configure tasks for the project, such as building the virtual environment.
• init_git.sh: This script initializes the project as a Git repository and sets the remote to http://150.109.60.238:3000/tbxy09/MetaAgent.git.

Usage

To use this project, follow these steps:

1. Clone the repository.
2. Run the init_git.sh script to initialize the project as a Git repository and set the remote.
3. Run the build_venv.sh script to create the virtual environment.
4. Activate the virtual environment by running source meta_env/bin/activate.
5. Install the required packages by running pip install -r requirements.txt.
6. Run the project by running python src/main.py.
7. Run the tests by running python -m unittest discover src/tests.
8. Debug the project by using the launch.json configuration in your preferred IDE.

License

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