feat: Add IpynbConverter

- Implemented IpynbConverter class for converting Jupyter Notebook (.ipynb) files into Markdown format. - Supports markdown cells, code cells and raw cells. - First markdown heading is used as the title if no title is found in notebook metadata. - Created a test notebook (`test_notebook.ipynb`) to verify the functionality of the converter.
2024-12-17 01:00:41 +05:30
parent 81e3f24acd
commit a3208f2bd0
2 changed files with 147 additions and 0 deletions
--- a/tests/test_files/test_notebook.ipynb
+++ b/tests/test_files/test_notebook.ipynb
@@ -0,0 +1,89 @@
+{
+    "cells": [
+        {
+            "cell_type": "markdown",
+            "id": "0f61db80",
+            "metadata": {},
+            "source": [
+                "# Test Notebook"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": 11,
+            "id": "3f2a5bbd",
+            "metadata": {},
+            "outputs": [
+                {
+                    "name": "stdout",
+                    "output_type": "stream",
+                    "text": [
+                        "markitdown\n"
+                    ]
+                }
+            ],
+            "source": [
+                "print('markitdown')"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "id": "9b9c0468",
+            "metadata": {},
+            "source": [
+                "## Code Cell Below"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": 10,
+            "id": "37d8088a",
+            "metadata": {},
+            "outputs": [
+                {
+                    "name": "stdout",
+                    "output_type": "stream",
+                    "text": [
+                        "42\n"
+                    ]
+                }
+            ],
+            "source": [
+                "# comment in code\n",
+                "print(42)"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "id": "2e3177bd",
+            "metadata": {},
+            "source": [
+                "End\n",
+                "\n",
+                "---"
+            ]
+        }
+    ],
+    "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": "3.12.8"
+        },
+        "title": "Test Notebook Title"
+    },
+    "nbformat": 4,
+    "nbformat_minor": 5
+}