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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Saving images in issues\n",
    "\n",
    "We often create issues to collectively share images relating to a project.\n",
    "\n",
    "Reincarnation has a nice example. https://github.com/deathbeds/reincarnation/issues/1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas\n",
    "from CommonMark.render.renderer import Renderer\n",
    "from CommonMark import Parser\n",
    "from ipywidgets import *\n",
    "\n",
    "from dataclasses import dataclass\n",
    "\n",
    "from IPython.utils.capture import capture_output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "class ImageFinder(Renderer):\n",
    "    def image(self, node, entering): self.out(node.destination + '\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`scrape_images_from_issue` will take {repo} and issue {id}.  It will return the images in the markdown."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "@dataclass(order=True)\n",
    "class IssueScraper:\n",
    "    repo: str = None\n",
    "    id: int = None\n",
    "    df: pandas.DataFrame = None\n",
    "    \n",
    "    def __post_init__(self):\n",
    "        if self.df is None: \n",
    "            self.df = pandas.read_json(\n",
    "                f\"\"\"https://api.github.com/repos/{self.repo}/issues/{self.id}/comments\"\"\")\n",
    "        \n",
    "    def images(self): return self.df.body.apply(\n",
    "            lambda x: ImageFinder().render(Parser().parse(x))\n",
    "        ).apply(str.splitlines).apply(pandas.Series).stack().drop_duplicates()\n",
    "    \n",
    "    def _repr_markdown_(self): return ''.join(map('![]({0})\\n'.format, self.images()))\n",
    "    \n",
    "    def _repr_mimebundle_(self, **_):\n",
    "        selector, image = Select(options=list(self.images())), HTML()\n",
    "        dlink((selector, 'value'), (image, 'value'), \"<img src='{}' width='100%'/>\".format)\n",
    "        with capture_output() as out: HBox(children=[selector, image])._ipython_display_()\n",
    "        return {\n",
    "            **out.outputs[0].data,\n",
    "            'text/markdown': self._repr_markdown_()}, {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "def _sample_issues_from_reincarnation():\n",
    "    return IssueScraper('deathbeds/reincarnation', 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def _get_reincarnation_images():\n",
    "    return scrape_images_from_issue('deathbeds/reincarnation', 1)"
   ]
  }
 ],
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