Automated Execution and Error Handling in Jupyter Notebooks

📅 2023-02-14 — Session: Automated Execution and Error Handling in Jupyter Notebooks

🕒 12:00–13:30
🏷️ Labels: Jupyter, Automation, Error Handling, Python, Scripting
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary aim of this session was to automate the execution of Jupyter notebooks and improve error handling during their execution.

Key Activities

• Explored methods for programmatically running Jupyter notebooks using nbconvert and nbformat.
• Installed ipykernel in an Anaconda environment to support Jupyter functionality.
• Developed a script for executing notebooks in a directory with error handling to stop on errors and continue with the next notebook.
• Enhanced the run_notebooks_in_directory function to handle errors by resuming execution from the last successful notebook.
• Implemented recursive execution of notebooks in sub-directories.
• Modified the run_notebook function to extract and print detailed error information using the traceback module.
• Automated the addition of import statements to the first cell of Jupyter notebooks to ensure necessary libraries are included.

Achievements

• Successfully automated the execution of Jupyter notebooks with robust error handling.
• Improved the error reporting mechanism to provide detailed traceback information.
• Automated import statement insertion, enhancing notebook setup efficiency.

Pending Tasks

• Further testing of the automated scripts in diverse environments to ensure reliability.
• Optimization of the error handling logic to cover more edge cases.