🚀 Notebook Refactor Automation Suite

A modular, security-first pipeline designed to bridge the gap between data science experimentation and production-grade software engineering. This suite automates the conversion of .ipynb notebooks into clean, PEP 8 compliant Python scripts while enforcing strict security protocols.

🏗️ Architecture & Workflow

The suite operates as a decoupled orchestration layer, ensuring that your logic is transformed without compromising the integrity of your production environment.

• Extraction: Parses JSON-based notebooks, stripping "magics" (e.g., %%bash) and wrapping code in if __name__ == "__main__": guards.
• Security Gate: A zero-trust security_scan.py module audits the generated code for high-entropy strings or API patterns before allowing a Git push.
• Secure Git Ops: Utilizes GIT_ASKPASS to handle authentication, ensuring Personal Access Tokens (PATs) never leak into system logs or shell history.
• Repo Hygiene: Automatically bootstraps the destination repository with a .gitignore and descriptive documentation.

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🛠️ Project Structure

nb_refactor_suite/
├── nb_refactor/          # Core Package
│   ├── cli.py            # Orchestrator (The "Brain")
│   ├── git_ops.py        # Secure Git integration (GIT_ASKPASS)
│   ├── security_scan.py  # Pre-push secret detection
│   └── notebook_refactor.py # IPYNB -> PY logic
└── ...

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🌟 Senior-Level Features

1. Idempotency

To prevent "Git noise," the suite uses a write_text_if_changed utility. It compares hashes of existing files and only performs a write/commit if changes are detected, keeping your contribution graph meaningful.

2. Zero-Trust Security

The pipeline assumes all notebooks are "unsafe." Even if a push is triggered, the security_scan acts as a hard gate. If a potential secret is detected, the entire operation is aborted.

3. Decoupled Logic

The architecture is provider-agnostic. While currently tuned for GitHub, the git_ops.py module is isolated, allowing for an easy swap to GitLab or Bitbucket without touching the core transformation logic.

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🚀 Quick Start

1. Configure: Add your PAT and REPO_URL to .env.
2. Install: pip install -r requirements.txt
3. Execute: ```bash python -m nb_refactor