swarmauri_tool_jupyterwritenotebook 0.9.0

A tool that writes a NotebookNode object to a file in JSON format, preserving the notebook structure.

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Swarmauri Tool · Jupyter Write Notebook

A Swarmauri automation tool that serializes Jupyter NotebookNode objects (or compatible dictionaries) to disk using the nbformat JSON schema. It encapsulates validation, encoding, and integrity checks so pipelines can persist generated notebooks with confidence.

• Writes notebooks with pretty-printed JSON (indent=2) and ensure_ascii=False for readable diffs and Unicode safety.
• Performs a read-back verification step to guarantee the file contains valid JSON data.
• Slots directly into agent workflows via the standard Swarmauri tool registration system.

Requirements

• Python 3.10 – 3.13.
• nbformat for working with notebook structures.
• Dependencies (swarmauri_base, swarmauri_standard, pydantic). These install automatically with the package.

Installation

Choose the installer that matches your workflow—each command pulls transitive dependencies.

pip

pip install swarmauri_tool_jupyterwritenotebook

Poetry

poetry add swarmauri_tool_jupyterwritenotebook

uv

# Add to the active project and update uv.lock
uv add swarmauri_tool_jupyterwritenotebook

# or install into the current environment without modifying pyproject.toml
uv pip install swarmauri_tool_jupyterwritenotebook

Tip: When using uv in this repository, run commands from the repo root so uv can resolve the shared pyproject.toml.

Quick Start

Generate a notebook programmatically and persist it with the tool. The response dictionary includes either a success message and file path or an error string.

from nbformat.v4 import new_notebook, new_markdown_cell, new_code_cell
from swarmauri_tool_jupyterwritenotebook import JupyterWriteNotebookTool

nb = new_notebook(
    cells=[
        new_markdown_cell("# Metrics Report"),
        new_code_cell("print('accuracy:', 0.91)")
    ],
    metadata={
        "kernelspec": {
            "display_name": "Python 3",
            "language": "python",
            "name": "python3"
        }
    }
)

write_notebook = JupyterWriteNotebookTool()
result = write_notebook(notebook_data=nb, output_file="reports/metrics.ipynb")

print(result)
# {'message': 'Notebook written successfully', 'file_path': 'reports/metrics.ipynb'}

Usage Scenarios

Persist Notebook Output From an Agent

from swarmauri_core.agent.Agent import Agent
from swarmauri_standard.tools.registry import ToolRegistry
from swarmauri_tool_jupyterwritenotebook import JupyterWriteNotebookTool

registry = ToolRegistry()
registry.register(JupyterWriteNotebookTool())
agent = Agent(tool_registry=registry)

# Agent actions produce notebook JSON (truncated for brevity)
notebook_payload = {
    "cells": [
        {"cell_type": "code", "source": "print('done')", "metadata": {}, "outputs": []}
    ],
    "metadata": {"kernelspec": {"name": "python3"}},
    "nbformat": 4,
    "nbformat_minor": 5
}

response = agent.tools["JupyterWriteNotebookTool"](
    notebook_data=notebook_payload,
    output_file="runs/output.ipynb"
)
print(response)

Register the tool alongside other Swarmauri components so agents can emit notebooks as part of a conversation or workflow.

Convert Executed Notebooks to Artifacts

import nbformat
from nbformat import NotebookNode
from swarmauri_tool_jupyterwritenotebook import JupyterWriteNotebookTool

# Assume executed_notebook is a NotebookNode returned by nbconvert or papermill
executed_notebook: NotebookNode = nbformat.read("executed.ipynb", as_version=4)
executed_notebook.metadata.setdefault("tags", []).append("validated")

writer = JupyterWriteNotebookTool()
artifact = writer(notebook_data=executed_notebook, output_file="artifacts/executed.ipynb")
print(artifact)

This pattern is useful for CI systems that run notebooks and archive the executed results for review.

Chain With Validation Before Publishing

import nbformat
from swarmauri_tool_jupytervalidatenotebook import JupyterValidateNotebookTool
from swarmauri_tool_jupyterwritenotebook import JupyterWriteNotebookTool

nb = nbformat.read("draft.ipynb", as_version=4)
validate = JupyterValidateNotebookTool()
write = JupyterWriteNotebookTool()

validation = validate(nb)
if validation["valid"] != "True":
    raise RuntimeError(validation["report"])

result = write(notebook_data=nb, output_file="dist/published.ipynb")
print(result)

Validate the notebook schema first, then persist the approved version for distribution.

Troubleshooting

• An error occurred during notebook write operation – The tool surfaces file-system exceptions verbatim. Check write permissions and ensure the target directory exists.
• Empty file after execution – Read-back verification triggers when the file cannot be parsed as JSON. Confirm the notebook structure is JSON serializable (e.g., use nbformat helper constructors).
• Unexpected characters – The tool writes with ensure_ascii=False so non-ASCII text remains intact. If your environment cannot handle UTF-8, pass a different encoding argument.

License

swarmauri_tool_jupyterwritenotebook is released under the Apache 2.0 License. See LICENSE for the full text.