pseudocli 0.1.0
This tool is created for non-programmers but they know how to build algorithms then this is a perfect fit. In this tool, you have to setup 'MAGIC_API_KEY' which is a openrouter api key then you can use it freely. 
Requires Python: >=3.11
Keywords: pseudocode, vibe coding

mgcli: Pseudocode Algorithm Tool for Non-Programmers
mgcli is a powerful command-line interface (CLI) tool designed to empower non-programmers to conceptualize, manage, and translate algorithms using a simplified pseudocode syntax. It bridges the gap between human logic and executable code, making algorithm development accessible to everyone.

✨ Features
Project Management:

mgcli project init <project-name>: Initialize a new mgcli project with a standard directory structure (src/, outputs/, mgcli.config.yaml, README.md).

mgcli project new <algorithm-name>: Create a new pseudocode file (.mg) within your project's src/ directory, pre-populated with a basic template.

mgcli project list: List all pseudocode files (.mg) in your current project.

mgcli project delete <algorithm-name.mg>: Safely delete a pseudocode file from your project.

Pseudocode Authoring & Enhancement:

mgcli author lint <file-name.mg>: Analyze your pseudocode for best practices and clarity, providing AI-powered recommendations for improvement.

mgcli author format <file-name.mg>: Automatically reformat your pseudocode for consistent style and readability using AI.

Pseudocode Translation:

mgcli translate to <file-name.mg> --to <language>: Translate your pseudocode into a target programming language (e.g., python, javascript, java).

--output-dir <path>: Optionally specify a custom directory to save the translated code.

Utility Commands:

mgcli version: Display the current version of mgcli.

mgcli dashboard: (Placeholder) A future feature to launch a simple web-based dashboard for project overview.

🚀 Installation
Prerequisites
Python 3.8+

An API key for OpenRouter (e.g., from openrouter.ai). You'll need to set this as an environment variable.

Steps
Clone the Repository (or download the source code):

git clone https://github.com/your-username/mgcli.git # Replace with your actual repo
cd mgcli

Install Dependencies:
It's highly recommended to use a virtual environment.

python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
pip install -r requirements.txt # You'll need to create this file

(Self-correction: I should remind the user to create a requirements.txt if they don't have one, or list the core dependencies.)
Alternatively, install directly:

pip install typer rich pydantic pydantic-ai

Set Your API Key:
mgcli uses AI agents for linting, formatting, and translation. These agents require an API key for OpenRouter.
Set the environment variable OPENROUTER_API_KEY (or MAGIC_API_KEY if you configured it that way) with your key:

Linux/macOS:

export OPENROUTER_API_KEY="sk-or-YOUR_OPENROUTER_API_KEY"
# To make it permanent, add this line to your shell's config file (.bashrc, .zshrc, etc.)

Windows (Command Prompt):

set OPENROUTER_API_KEY="sk-or-YOUR_OPENROUTER_API_KEY"
# For permanent setting, use System Properties -> Environment Variables

Windows (PowerShell):

$env:OPENROUTER_API_KEY="sk-or-YOUR_OPENROUTER_API_KEY"
# For permanent setting, add to your PowerShell profile

💡 Usage
Navigate to the directory where you want to create your mgcli project or where your mgcli.py executable is located.

1. Initialize a New Project
Start by creating a new mgcli project.

python mgcli.py init my-awesome-project

This will create a my-awesome-project directory with src/, outputs/, mgcli.config.yaml, and README.md.

2. Create a New Algorithm File
Navigate into your new project directory:

cd my-awesome-project

Now, create a new pseudocode file:

python mgcli.py new my_first_algorithm

This creates src/my_first_algorithm.mg with a basic template.

3. Write Your Pseudocode
Open src/my_first_algorithm.mg in your favorite text editor and write your pseudocode.

Example src/my_first_algorithm.mg:

START
  DECLARE number AS NUMBER
  READ number
  IF number > 10 THEN
    WRITE "Number is greater than 10"
  ELSE
    WRITE "Number is 10 or less"
  END IF
END

4. Lint Your Pseudocode
Check your pseudocode for best practices and get recommendations:

python mgcli.py lint my_first_algorithm.mg

5. Format Your Pseudocode
Automatically format your pseudocode for consistency:

python mgcli.py format my_first_algorithm.mg

6. Translate Your Pseudocode
Translate your pseudocode to a target programming language:

python mgcli.py translate to my_first_algorithm --to python

This will save outputs/my_first_algorithm.py (or .js, .java depending on the --to flag).

7. List Algorithms
See all pseudocode files in your project:

python mgcli.py list

8. Delete an Algorithm
Remove an algorithm file from your project:

python mgcli.py delete my_first_algorithm.mg


🤝 Contributing
Contributions are welcome! Please feel free to open issues, submit pull requests, or suggest new features.

📄 License
This project is licensed under the MIT License - see the LICENSE file for details. (You'll need to create a LICENSE file if you haven't already).