A tool that programmatically executes and converts a Jupyter Notebook using nbconvert's CLI functionality, enabling automated notebook execution and format conversion.
Project description
Swarmauri Tool Jupyter Execute & Convert
Executes a Jupyter notebook and converts the output to HTML or PDF using nbconvert—packaged as a Swarmauri tool.
Features
- Runs notebooks with configurable execution timeout.
- Converts executed notebooks to
htmlorpdfvia nbconvert. - Returns a status dictionary with the converted file path or error details.
Prerequisites
- Python 3.10 or newer.
nbconvert,nbformat, and Jupyter runtime (installed automatically).- Notebook dependencies must be available in the execution environment.
Installation
# pip
pip install swarmauri_tool_jupyterexecuteandconvert
# poetry
poetry add swarmauri_tool_jupyterexecuteandconvert
# uv (pyproject-based projects)
uv add swarmauri_tool_jupyterexecuteandconvert
Quickstart
from swarmauri_tool_jupyterexecuteandconvert import JupyterExecuteAndConvertTool
tool = JupyterExecuteAndConvertTool()
response = tool(
notebook_path="notebooks/analysis.ipynb",
output_format="pdf",
execution_timeout=600,
)
if response.get("status") == "success":
print("Converted file:", response["converted_file"])
else:
print("Error:", response.get("error"))
print("Message:", response.get("message"))
Tips
- Set
execution_timeouthigh enough for long-running notebooks; nbconvert defaults to 600 seconds. - Ensure notebooks run headlessly: avoid widgets or interactive inputs that pause execution.
- Install LaTeX (
tectonic,texlive) if exporting to PDF on systems where nbconvert requires it. - Combine with
JupyterClearOutputToolto strip outputs after conversion if you want clean notebooks and rich artifacts.
Want to help?
If you want to contribute to swarmauri-sdk, read up on our guidelines for contributing that will help you get started.
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