contextmaker 1.6.0

A simple context builder and converter toolkit

ContextMaker

Feature to enrich the CMBAgents: Multi-Agent System for Science, Made by Cosmologists, Powered by AG2.

Acknowledgments

This project uses the CAMB code developed by Antony Lewis and collaborators. Please see the CAMB website and documentation for more information.

---

Installation

Install ContextMaker from PyPI:

python3 -m venv context_env
source context_env/bin/activate
pip install contextmaker

---

Usage

From the Command Line

ContextMaker automatically finds libraries on your system and generates complete documentation with function signatures and docstrings.

# Convert a library's documentation (automatic search)
contextmaker library_name

# Example: convert pixell documentation
contextmaker pixell

# Example: convert numpy documentation
contextmaker numpy

Advanced Usage

# Specify custom output path
contextmaker pixell --output ~/Documents/my_docs

# Specify manual input path (overrides automatic search)
contextmaker pixell --input_path /path/to/library/source

Output

• Default location: ~/your_context_library/library_name.txt
• Content: Complete documentation with function signatures, docstrings, examples, and API references
• Format: Clean text optimized for AI agent ingestion

---

From a Python Script

You can also use ContextMaker programmatically in your Python scripts:

import contextmaker

# Minimal usage (automatic search, default output path)
contextmaker.make("pixell")

# With custom output path
contextmaker.make("pixell", output_path="/tmp")

# With manual input path
contextmaker.make("pixell", input_path="/path/to/pixell/source")

# Example: choose output format (txt or md)
contextmaker.make("pixell", extension="md")

# CLI usage with extension
contextmaker pixell --extension md

Running the Jupyter Notebook

To launch and use the notebooks provided in this project, follow these steps:

1. Install Jupyter
   If Jupyter is not already installed, you can install it with:

pip install jupyter

2. Launch Jupyter Notebook
   Navigate to the project directory and run:

jupyter notebook

This will open the Jupyter interface in your web browser.

3. Add Your Environment as a Jupyter Kernel (Optional but recommended)
   If you are using a virtual environment, you can add it as a Jupyter kernel so you can select it in the notebook interface:

python -m ipykernel install --user --name context_env --display-name "Python (context_env)"

Then, in the Jupyter interface, select the "Python (context_env)" kernel for your notebook.

4. Open the notebook
   In the Jupyter interface, navigate to the notebook/ directory and open the desired .ipynb file.