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@MLKrisJohnson
Last active April 4, 2024 10:20
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Displaying Mermaid Diagrams in a Jupyter Notebook Using Python
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{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Displaying Mermaid Diagrams in a Jupyter Notebook Using Python\n",
"\n",
"This code is based upon code at <https://mermaid.js.org/config/Tutorials.html#jupyter-integration-with-mermaid-js>."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<img src=\"https://mermaid.ink/img/CmdyYXBoIExSOwogICAgQS0tPiBCICYgQyAmIEQ7CiAgICBCLS0+IEEgJiBFOwogICAgQy0tPiBBICYgRTsKICAgIEQtLT4gQSAmIEU7CiAgICBFLS0+IEIgJiBDICYgRDsK\"/>"
],
"text/plain": [
"<IPython.core.display.Image object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import base64\n",
"from IPython.display import Image, display\n",
"\n",
"def mm_ink(graphbytes):\n",
" \"\"\"Given a bytes object holding a Mermaid-format graph, return a URL that will generate the image.\"\"\"\n",
" base64_bytes = base64.b64encode(graphbytes)\n",
" base64_string = base64_bytes.decode(\"ascii\")\n",
" return \"https://mermaid.ink/img/\" + base64_string\n",
"\n",
"def mm_display(graphbytes):\n",
" \"\"\"Given a bytes object holding a Mermaid-format graph, display it.\"\"\"\n",
" display(Image(url=mm_ink(graphbytes)))\n",
"\n",
"def mm(graph):\n",
" \"\"\"Given a string containing a Mermaid-format graph, display it.\"\"\"\n",
" graphbytes = graph.encode(\"ascii\")\n",
" mm_display(graphbytes)\n",
"\n",
"def mm_link(graph):\n",
" \"\"\"Given a string containing a Mermaid-format graph, return URL for display.\"\"\"\n",
" graphbytes = graph.encode(\"ascii\")\n",
" return mm_ink(graphbytes)\n",
" \n",
"def mm_path(path):\n",
" \"\"\"Given a path to a file containing a Mermaid-format graph, display it\"\"\"\n",
" with open(path, 'rb') as f:\n",
" graphbytes = f.read()\n",
" mm_display(graphbytes)\n",
"\n",
"mm(\"\"\"\n",
"graph LR;\n",
" A--> B & C & D;\n",
" B--> A & E;\n",
" C--> A & E;\n",
" D--> A & E;\n",
" E--> B & C & D;\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<img src=\"https://mermaid.ink/img/Z3JhcGggTFI7CiAgICBBLS0+IEIgJiBDICYgRDsKICAgIEItLT4gQSAmIEU7CiAgICBDLS0+IEEgJiBFOwogICAgRC0tPiBBICYgRTsKICAgIEUtLT4gQiAmIEMgJiBEOwo=\"/>"
],
"text/plain": [
"<IPython.core.display.Image object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mm_path('test.mmd')"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'https://mermaid.ink/img/CmdyYXBoIExSOwogICAgQS0tPiBCICYgQyAmIEQ7CiAgICBCLS0+IEEgJiBFOwogICAgQy0tPiBBICYgRTsKICAgIEQtLT4gQSAmIEU7CiAgICBFLS0+IEIgJiBDICYgRDsK'"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mm_link(\"\"\"\n",
"graph LR;\n",
" A--> B & C & D;\n",
" B--> A & E;\n",
" C--> A & E;\n",
" D--> A & E;\n",
" E--> B & C & D;\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "ai",
"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"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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