scrapbook

import scrapbook as sb import os # --- Part 1: Write data to a dummy notebook (simulating execution) --- # This part would typically run inside a Jupyter/nteract notebook cell. # For demonstration, we'll create a dummy output file. # In a real notebook, you'd just call sb.glue directly. # Here, we simulate it by writing to a temporary file. notebook_content_template = '''{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "application/scrapbook+json": { "data": {}, "encoder": "json", "name": "my_string", "display": null } }, "metadata": {}, "output_type": "display_data" } ], "source": ["import scrapbook as sb\n", "sb.glue('my_string', 'Hello Scrapbook!')"] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "application/scrapbook+json": { "data": 12345, "encoder": "json", "name": "my_number", "display": null } }, "metadata": {}, "output_type": "display_data" } ], "source": ["sb.glue('my_number', 12345)"] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 4 }''' # Manually inject the data for the example since we're not running a live kernel # In a real scenario, these outputs would be generated by `sb.glue` calls import json nb_dict = json.loads(notebook_content_template) # Update the 'my_string' scrap nb_dict['cells'][0]['outputs'][0]['data']['application/scrapbook+json']['data'] = 'Hello Scrapbook!' # Update the 'my_number' scrap nb_dict['cells'][1]['outputs'][0]['data']['application/scrapbook+json']['data'] = 12345 output_notebook_path = 'output_test_notebook.ipynb' with open(output_notebook_path, 'w') as f: json.dump(nb_dict, f, indent=4) print(f"Created dummy notebook: {output_notebook_path}") # --- Part 2: Read data from the notebook --- # This part can run in a separate script or notebook. # Read the notebook containing the 'scraps' nb = sb.read_notebook(output_notebook_path) # Access a specific scrap by name my_string_scrap = nb.scraps.my_string my_number_scrap = nb.scraps.my_number print(f"\nRetrieved string scrap: {my_string_scrap.data}") print(f"Retrieved number scrap: {my_number_scrap.data}") # You can also get all scraps as a dictionary all_scraps = nb.scraps.to_dict() print(f"\nAll scraps: {all_scraps}") # Clean up the dummy file os.remove(output_notebook_path) print(f"Cleaned up {output_notebook_path}")