Metadata-Version: 2.4
Name: swarmauri_tool_jupyterexportmarkdown
Version: 1.3.3.dev10
Summary: A Swarmauri tool designed to export Jupyter Notebooks to Markdown.
License-Expression: Apache-2.0
License-File: LICENSE
Keywords: swarmauri,tool,jupyterexportmarkdown,designed,export,jupyter,notebooks,markdown
Author: Jacob Stewart
Author-email: jacob@swarmauri.com
Requires-Python: >=3.10,<3.13
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Natural Language :: English
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Requires-Dist: papermill (>=2.6.0)
Requires-Dist: swarmauri_base
Requires-Dist: swarmauri_core
Requires-Dist: swarmauri_standard
Description-Content-Type: text/markdown

![Swarmauri Logo](https://github.com/swarmauri/swarmauri-sdk/blob/3d4d1cfa949399d7019ae9d8f296afba773dfb7f/assets/swarmauri.brand.theme.svg)

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---

# Swarmauri Tool Jupyter Export Markdown

Converts a Jupyter `NotebookNode` to Markdown using nbconvert’s `MarkdownExporter`. Injectable CSS and JS snippets let you tweak the output for static publishing.

## Features

- Accepts a notebook JSON string and returns rendered Markdown.
- Optional inline CSS/JS injection to customize the exported document.
- Returns a dict with `exported_markdown` or `error` if conversion fails.

## Prerequisites

- Python 3.10 or newer.
- nbconvert/nbformat installed (pulled in automatically).

## Installation

```bash
# pip
pip install swarmauri_tool_jupyterexportmarkdown

# poetry
poetry add swarmauri_tool_jupyterexportmarkdown

# uv (pyproject-based projects)
uv add swarmauri_tool_jupyterexportmarkdown
```

## Quickstart

```python
import json
import nbformat
from swarmauri_tool_jupyterexportmarkdown import JupyterExportMarkdownTool

notebook = nbformat.read("notebooks/example.ipynb", as_version=4)
notebook_json = json.dumps(notebook)

exporter = JupyterExportMarkdownTool()
response = exporter(
    notebook_json=notebook_json,
    extra_css="blockquote { color: gray; }",
    extra_js="console.log('Markdown ready');",
)

if "exported_markdown" in response:
    Path("notebooks/example.md").write_text(response["exported_markdown"], encoding="utf-8")
else:
    print("Error:", response["error"])
```

## Tips

- Use Markdown export when preparing notebooks for static docs, blogs, or README content.
- Apply lightweight CSS/JS to adjust styling when the Markdown is embedded in HTML environments.
- Combine with notebook execution tools to build pipelines (execute → convert to Markdown → publish).

## Want to help?

If you want to contribute to swarmauri-sdk, read up on our [guidelines for contributing](https://github.com/swarmauri/swarmauri-sdk/blob/master/contributing.md) that will help you get started.

