r44cx / gpt-codemaster Goto Github PK

Step Description

1. Clone the Repository Clone the newly created repository to your local machine using the command: git clone https://github.com/r44cx/gpt-context-window.git
2. Create a Virtual Environment Navigate to the cloned repository's directory and create a new virtual environment using venv or conda. For venv, you can use the command: python3 -m venv env. This will create a new virtual environment named env.
3. Activate the Virtual Environment Before installing any packages, you need to activate the virtual environment. If you used venv, you can do this with the command: source env/bin/activate
4. Create the Package Structure Create a new directory for your package code, usually with the same name as your package. You can do this with the command: mkdir gpt_context_window. Also, create the necessary files like setup.py and README.md using touch setup.py README.md.
5. Install Dependencies Install the necessary Python libraries in your virtual environment. You can use pip to install these. For example, pip install gitpython pathspec.
6. Define the Main Function Create a new Python file in your package directory (e.g., gpt_context_window/main.py). This file will contain the main function that accepts the path of a Git repository as input.
7. Load the Repository In your main function, use gitpython to load the Git repository from the provided path.
8. Read .gitignore In your main function, check if a .gitignore file exists in the repository and, if it does, read it.
9. Traverse the Repository In your main function, walk through the repository files and directories using os.walk().
10. Check Files Against .gitignore For each file encountered during the traversal, check if it is ignored by .gitignore using pathspec.
11. Read Non-Ignored Files If a file is not ignored, read its content and decide if it is needed for the context window. If it is, append it to the context window.
12. Write Tests Write tests for your package to ensure it works as expected. You can use a library like pytest for this.
13. Update setup.py Update setup.py with the necessary information about your package, such as its name, version, author, and dependencies.
14. Update README.md Update README.md with information about your package, including its purpose, how to install it, and how to use it.
15. Commit Changes Commit your changes to the local repository using git add . to stage all changes and git commit -m "Your commit message" to commit them.
16. Push Changes Push your changes to the remote repository using git push origin master.
17. Test Package Installation Test that your package can be installed correctly. You can do this by creating a new virtual environment, then installing your package using pip install .
18. Package and Distribute Once your package is working as expected, you can package it up for distribution on PyPI. You'll need to create a setup.py file if you haven't already, then use python setup.py sdist bdist_wheel to create the distribution packages. You can then upload

add a step by step prompt build script in c#, that creates a context for an language model request which only allows certain things. the ai should onl print what it is told to and or use given option with replacment patterns like templates. add as markup

Add string "hello world" to test.md

add a step b step prompt build script that creates a context for an language model request which only allows certain things. the ai should onl print what it is told to and or use given option with replacment patterns like templates