swarmauri_tool_jupyterfromdict 0.10.0.dev5

A tool that converts a plain dictionary into a NotebookNode object using nbformat, facilitating programmatic notebook creation.

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Swarmauri Tool Jupyter From Dict

Creates a validated Jupyter NotebookNode from a Python dictionary using nbformat.

Features

• Validates notebook structure against nbformat schema.
• Returns {"notebook_node": ...} on success or {"error": ...} when conversion fails.
• Useful for programmatically building notebooks before executing/exporting them with other Swarmauri tools.

Prerequisites

• Python 3.10 or newer.
• nbformat installed (pulled automatically).

Installation

# pip
pip install swarmauri_tool_jupyterfromdict

# poetry
poetry add swarmauri_tool_jupyterfromdict

# uv (pyproject-based projects)
uv add swarmauri_tool_jupyterfromdict

Quickstart

import json
from swarmauri_tool_jupyterfromdict import JupyterFromDictTool

notebook_dict = {
    "nbformat": 4,
    "nbformat_minor": 5,
    "metadata": {},
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": ["# Hello World\n", "This is a generated notebook."],
        }
    ],
}

result = JupyterFromDictTool()(notebook_dict)
if "notebook_node" in result:
    print("NotebookNode ready", type(result["notebook_node"]))
else:
    print("Error:", result["error"])

Tips

• Feed the resulting NotebookNode directly into execution/export tools such as JupyterExecuteNotebookTool or nbconvert exporters.
• Use json.dumps/json.loads if you need to persist or transmit the notebook dictionary before conversion.

Want to help?

If you want to contribute to swarmauri-sdk, read up on our guidelines for contributing that will help you get started.