diff --git a/degbugging_notebooks/special_video_cases.ipynb b/degbugging_notebooks/special_video_cases.ipynb
index 587d112..ae8d00f 100644
--- a/degbugging_notebooks/special_video_cases.ipynb
+++ b/degbugging_notebooks/special_video_cases.ipynb
@@ -2,102 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 1,
- "id": "63fa3f08-7226-4006-b2e5-46b502c09452",
- "metadata": {},
- "outputs": [],
- "source": [
- "from IPython import get_ipython\n",
- "from IPython.core import magic_arguments\n",
- "from IPython.core.magic import Magics, cell_magic, magics_class\n",
- "from IPython.display import display\n",
- "from IPython.utils.capture import capture_output\n",
- "from pprint import pprint\n",
- "from pathlib import Path\n",
- "import re\n",
- "from base64 import b64decode"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "id": "bc8c9994-11cb-485f-9b63-ea0322c665f2",
- "metadata": {},
- "outputs": [],
- "source": [
- "@magics_class\n",
- "class CaptureMagic(Magics):\n",
- " @magic_arguments.magic_arguments()\n",
- " @magic_arguments.argument(\n",
- " \"--path\",\n",
- " \"-p\",\n",
- " default=None,\n",
- " help=(\n",
- " \"The path where the video will be saved to. When there is more then one video, multiple paths have to be defined\"\n",
- " ),\n",
- " )\n",
- " @cell_magic\n",
- " def capture_video(self, line, cell):\n",
- " args = magic_arguments.parse_argstring(CaptureMagic.capture_video, line)\n",
- " paths_pathlib = args.path.strip('\"').split(\" \")\n",
- " with capture_output(stdout=False, stderr=False, display=True) as result:\n",
- " self.shell.run_cell(cell)\n",
- " for output in result.outputs:\n",
- " display(output) # only disabled for debugging\n",
- " global data # for debugging\n",
- " data = output.data\n",
- "\n",
- " pprint(data) # for debugging\n",
- "\n",
- " print(\"#####\")\n",
- "\n",
- " if \"text/html\" in data:\n",
- " path = paths_pathlib.pop(0)\n",
- " if not path:\n",
- " raise ValueError(\"Too few paths given!\")\n",
- " video_object_html_string = data[\"text/html\"]\n",
- "\n",
- " # Extract video source filename\n",
- " pattern = re.compile(r'video src=\"(.+?)\"')\n",
- " match = pattern.search(video_object_html_string)\n",
- "\n",
- " if match:\n",
- " video_dir = match.group(1)\n",
- " print(f\"Found video at {video_dir}\")\n",
- "\n",
- " dest = Path(path)\n",
- " src = Path(video_dir)\n",
- " dest.write_bytes(src.read_bytes())\n",
- "\n",
- " else: # debugging only\n",
- " print(\"No video source found in HTML string.\")\n",
- "\n",
- " # Extract base64-encoded embedded video data \n",
- " pattern = re.compile(r'data:video/mp4;base64,(.*)\">')\n",
- " match = pattern.search(video_object_html_string)\n",
- "\n",
- " if match:\n",
- " base64_string = match.group(1)\n",
- " print(\"Found base64-encoded video\")\n",
- "\n",
- " # Decode base64 string and save video file using pathlib\n",
- " video_bytes = b64decode(base64_string)\n",
- " assert isinstance(video_bytes, bytes)\n",
- " dest = Path(path)\n",
- " dest.write_bytes(video_bytes)\n",
- "\n",
- " else:\n",
- " print(\"No base64-encoded video data found in HTML string.\")\n",
- "\n",
- "\n",
- "\n",
- "ipy = get_ipython()\n",
- "ipy.register_magics(CaptureMagic)\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
+ "execution_count": null,
"id": "5c4d82bd",
"metadata": {},
"outputs": [],
@@ -107,184 +12,30 @@
},
{
"cell_type": "code",
- "execution_count": 4,
- "id": "39964c22",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- ""
- ],
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "{'text/html': '',\n",
- " 'text/plain': ''}\n",
- "#####\n",
- "Found video at ../assets/dog_with_water.mp4\n",
- "No base64-encoded video data found in HTML string.\n"
- ]
- }
- ],
- "source": [
- "%%capture_video -p \"not_embedded.mp4\"\n",
- "# ✅✅✅\n",
- "Video(\"../assets/dog_with_water.mp4\", embed=False, width=300)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
+ "execution_count": null,
"id": "6924675f",
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- ""
- ],
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "{'text/html': '',\n",
- " 'text/plain': ''}\n",
- "#####\n",
- "No video source found in HTML string.\n",
- "Found base64-encoded video\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
- "%%capture_video -p \"embedded.mp4\"\n",
"# ✅✅✅\n",
"Video(\"../assets/dog_with_water.mp4\",embed=True,width=300)"
]
},
{
- "cell_type": "code",
- "execution_count": 6,
- "id": "960d42bc",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- ""
- ],
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "{'text/html': '',\n",
- " 'text/plain': ''}\n",
- "#####\n",
- "Found video at https://github.com/Octoframes/jupyter_capture_output/blob/f8968519e9ae161c56f126f8d2cf155795fdde86/assets/dog_with_water.mp4?raw=true\n"
- ]
- },
- {
- "ename": "FileNotFoundError",
- "evalue": "[Errno 2] No such file or directory: 'https:/github.com/Octoframes/jupyter_capture_output/blob/f8968519e9ae161c56f126f8d2cf155795fdde86/assets/dog_with_water.mp4?raw=true'",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
- "Cell \u001b[0;32mIn[6], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m get_ipython()\u001b[39m.\u001b[39;49mrun_cell_magic(\u001b[39m'\u001b[39;49m\u001b[39mcapture_video\u001b[39;49m\u001b[39m'\u001b[39;49m, \u001b[39m'\u001b[39;49m\u001b[39m-p \u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39mweb.mp4\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39m'\u001b[39;49m, \u001b[39m'\u001b[39;49m\u001b[39m# ❌❌❌\u001b[39;49m\u001b[39m\\n\u001b[39;49;00m\u001b[39mVideo(\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39mhttps://github.com/Octoframes/jupyter_capture_output/blob/f8968519e9ae161c56f126f8d2cf155795fdde86/assets/dog_with_water.mp4?raw=true\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39m,width=300)\u001b[39;49m\u001b[39m\\n\u001b[39;49;00m\u001b[39m'\u001b[39;49m)\n",
- "File \u001b[0;32m~/projects/jupyter-capture-output/.venv/lib/python3.11/site-packages/IPython/core/interactiveshell.py:2430\u001b[0m, in \u001b[0;36mInteractiveShell.run_cell_magic\u001b[0;34m(self, magic_name, line, cell)\u001b[0m\n\u001b[1;32m 2428\u001b[0m \u001b[39mwith\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mbuiltin_trap:\n\u001b[1;32m 2429\u001b[0m args \u001b[39m=\u001b[39m (magic_arg_s, cell)\n\u001b[0;32m-> 2430\u001b[0m result \u001b[39m=\u001b[39m fn(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m 2432\u001b[0m \u001b[39m# The code below prevents the output from being displayed\u001b[39;00m\n\u001b[1;32m 2433\u001b[0m \u001b[39m# when using magics with decodator @output_can_be_silenced\u001b[39;00m\n\u001b[1;32m 2434\u001b[0m \u001b[39m# when the last Python token in the expression is a ';'.\u001b[39;00m\n\u001b[1;32m 2435\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mgetattr\u001b[39m(fn, magic\u001b[39m.\u001b[39mMAGIC_OUTPUT_CAN_BE_SILENCED, \u001b[39mFalse\u001b[39;00m):\n",
- "Cell \u001b[0;32mIn[2], line 43\u001b[0m, in \u001b[0;36mCaptureMagic.capture_video\u001b[0;34m(self, line, cell)\u001b[0m\n\u001b[1;32m 41\u001b[0m dest \u001b[39m=\u001b[39m Path(path)\n\u001b[1;32m 42\u001b[0m src \u001b[39m=\u001b[39m Path(video_dir)\n\u001b[0;32m---> 43\u001b[0m dest\u001b[39m.\u001b[39mwrite_bytes(src\u001b[39m.\u001b[39;49mread_bytes())\n\u001b[1;32m 45\u001b[0m \u001b[39melse\u001b[39;00m: \u001b[39m# debugging only\u001b[39;00m\n\u001b[1;32m 46\u001b[0m \u001b[39mprint\u001b[39m(\u001b[39m\"\u001b[39m\u001b[39mNo video source found in HTML string.\u001b[39m\u001b[39m\"\u001b[39m)\n",
- "File \u001b[0;32m/opt/homebrew/Cellar/python@3.11/3.11.3/Frameworks/Python.framework/Versions/3.11/lib/python3.11/pathlib.py:1050\u001b[0m, in \u001b[0;36mPath.read_bytes\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1046\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mread_bytes\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[1;32m 1047\u001b[0m \u001b[39m \u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 1048\u001b[0m \u001b[39m Open the file in bytes mode, read it, and close the file.\u001b[39;00m\n\u001b[1;32m 1049\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 1050\u001b[0m \u001b[39mwith\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mopen(mode\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mrb\u001b[39;49m\u001b[39m'\u001b[39;49m) \u001b[39mas\u001b[39;00m f:\n\u001b[1;32m 1051\u001b[0m \u001b[39mreturn\u001b[39;00m f\u001b[39m.\u001b[39mread()\n",
- "File \u001b[0;32m/opt/homebrew/Cellar/python@3.11/3.11.3/Frameworks/Python.framework/Versions/3.11/lib/python3.11/pathlib.py:1044\u001b[0m, in \u001b[0;36mPath.open\u001b[0;34m(self, mode, buffering, encoding, errors, newline)\u001b[0m\n\u001b[1;32m 1042\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39m\"\u001b[39m\u001b[39mb\u001b[39m\u001b[39m\"\u001b[39m \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m mode:\n\u001b[1;32m 1043\u001b[0m encoding \u001b[39m=\u001b[39m io\u001b[39m.\u001b[39mtext_encoding(encoding)\n\u001b[0;32m-> 1044\u001b[0m \u001b[39mreturn\u001b[39;00m io\u001b[39m.\u001b[39;49mopen(\u001b[39mself\u001b[39;49m, mode, buffering, encoding, errors, newline)\n",
- "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'https:/github.com/Octoframes/jupyter_capture_output/blob/f8968519e9ae161c56f126f8d2cf155795fdde86/assets/dog_with_water.mp4?raw=true'"
- ]
- }
- ],
- "source": [
- "%%capture_video -p \"web.mp4\"\n",
- "# ❌❌❌\n",
- "Video(\"https://github.com/Octoframes/jupyter_capture_output/blob/f8968519e9ae161c56f126f8d2cf155795fdde86/assets/dog_with_water.mp4?raw=true\",width=300)\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "0f2eaa2d",
+ "cell_type": "markdown",
+ "id": "26a575d1",
"metadata": {},
- "outputs": [],
"source": [
- "### maybe useful at one point in future\n",
- "# from IPython.display import Video\n",
- "# import requests\n",
- "\n",
- "# url = \"https://github.com/Octoframes/jupyter_capture_output/blob/f8968519e9ae161c56f126f8d2cf155795fdde86/assets/dog_with_water.mp4?raw=true\"\n",
- "# filename = \"dog_with_water.mp4\"\n",
- "\n",
- "# response = requests.get(url)\n",
- "\n",
- "# with open(filename, \"wb\") as f:\n",
- "# f.write(response.content)\n",
- "# #"
+ "\n",
+ "\n"
]
},
{
- "cell_type": "code",
- "execution_count": 7,
- "id": "26a575d1",
+ "attachments": {},
+ "cell_type": "markdown",
+ "id": "bf823e60",
"metadata": {},
- "outputs": [],
- "source": [
- "from pathlib import Path\n",
- "Path(\"not_embedded.mp4\").unlink()\n",
- "Path(\"embedded.mp4\").unlink()\n",
- "\n",
- "try:\n",
- " Path(\"web.mp4\").unlink()\n",
- "except:\n",
- " pass"
- ]
+ "source": []
}
],
"metadata": {
@@ -303,7 +54,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.11.3"
+ "version": "3.11.4"
},
"vscode": {
"interpreter": {