{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import utils\n",
    "\n",
    "from bokeh.plotting import figure, show\n",
    "from bokeh.models import HoverTool\n",
    "from bokeh.io import output_notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1954\">Loading BokehJS ...</span>\n",
       "    </div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\nconst JS_MIME_TYPE = 'application/javascript';\n  const HTML_MIME_TYPE = 'text/html';\n  const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n  const CLASS_NAME = 'output_bokeh rendered_html';\n\n  /**\n   * Render data to the DOM node\n   */\n  function render(props, node) {\n    const script = document.createElement(\"script\");\n    node.appendChild(script);\n  }\n\n  /**\n   * Handle when an output is cleared or removed\n   */\n  function handleClearOutput(event, handle) {\n    const cell = handle.cell;\n\n    const id = cell.output_area._bokeh_element_id;\n    const server_id = cell.output_area._bokeh_server_id;\n    // Clean up Bokeh references\n    if (id != null && id in Bokeh.index) {\n      Bokeh.index[id].model.document.clear();\n      delete Bokeh.index[id];\n    }\n\n    if (server_id !== undefined) {\n      // Clean up Bokeh references\n      const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n      cell.notebook.kernel.execute(cmd_clean, {\n        iopub: {\n          output: function(msg) {\n            const id = msg.content.text.trim();\n            if (id in Bokeh.index) {\n              Bokeh.index[id].model.document.clear();\n              delete Bokeh.index[id];\n            }\n          }\n        }\n      });\n      // Destroy server and session\n      const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n      cell.notebook.kernel.execute(cmd_destroy);\n    }\n  }\n\n  /**\n   * Handle when a new output is added\n   */\n  function handleAddOutput(event, handle) {\n    const output_area = handle.output_area;\n    const output = handle.output;\n\n    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n    if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n      return\n    }\n\n    const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n      // store reference to embed id on output_area\n      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n    }\n    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n      const bk_div = document.createElement(\"div\");\n      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n      const script_attrs = bk_div.children[0].attributes;\n      for (let i = 0; i < script_attrs.length; i++) {\n        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n      }\n      // store reference to server id on output_area\n      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n    }\n  }\n\n  function register_renderer(events, OutputArea) {\n\n    function append_mime(data, metadata, element) {\n      // create a DOM node to render to\n      const toinsert = this.create_output_subarea(\n        metadata,\n        CLASS_NAME,\n        EXEC_MIME_TYPE\n      );\n      this.keyboard_manager.register_events(toinsert);\n      // Render to node\n      const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n      render(props, toinsert[toinsert.length - 1]);\n      element.append(toinsert);\n      return toinsert\n    }\n\n    /* Handle when an output is cleared or removed */\n    events.on('clear_output.CodeCell', handleClearOutput);\n    events.on('delete.Cell', handleClearOutput);\n\n    /* Handle when a new output is added */\n    events.on('output_added.OutputArea', handleAddOutput);\n\n    /**\n     * Register the mime type and append_mime function with output_area\n     */\n    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n      /* Is output safe? */\n      safe: true,\n      /* Index of renderer in `output_area.display_order` */\n      index: 0\n    });\n  }\n\n  // register the mime type if in Jupyter Notebook environment and previously unregistered\n  if (root.Jupyter !== undefined) {\n    const events = require('base/js/events');\n    const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  }\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    const el = document.getElementById(\"1954\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n          for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\nif (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"1954\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));",
      "application/vnd.bokehjs_load.v0+json": ""
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "project_name = \"solarfactors\"\n",
    "gh_project = \"pvlib/solarfactors\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ReadTheDocs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = utils.get_rtd_analytics_data(project_name)\n",
    "data_period = df['Date'].min().strftime('%Y-%m-%d') + ' to ' + df['Date'].max().strftime('%Y-%m-%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div class=\"bk-root\" id=\"80ae41ad-f3b1-4bae-81ad-a00fdb2b0789\" data-root-id=\"1955\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": "(function(root) {\n  function embed_document(root) {\n  const docs_json = {\"2f198d18-04c7-40e3-b607-d53b700398fe\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1966\"}],\"center\":[{\"id\":\"1968\"},{\"id\":\"1972\"}],\"height\":350,\"left\":[{\"id\":\"1969\"}],\"renderers\":[{\"id\":\"1994\"}],\"title\":{\"id\":\"1956\"},\"toolbar\":{\"id\":\"1981\"},\"x_range\":{\"id\":\"1958\"},\"x_scale\":{\"id\":\"1962\"},\"y_range\":{\"id\":\"1960\"},\"y_scale\":{\"id\":\"1964\"}},\"id\":\"1955\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1974\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"axis\":{\"id\":\"1969\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1972\",\"type\":\"Grid\"},{\"attributes\":{\"fill_color\":{\"value\":\"#1f77b4\"},\"line_color\":{\"value\":\"white\"},\"top\":{\"field\":\"Views\"},\"width\":{\"value\":0.75},\"x\":{\"field\":\"Version\"}},\"id\":\"1991\",\"type\":\"VBar\"},{\"attributes\":{},\"id\":\"2093\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1964\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis\":{\"id\":\"1966\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1968\",\"type\":\"Grid\"},{\"attributes\":{\"factors\":[\"latest\",\"stable\"]},\"id\":\"1958\",\"type\":\"FactorRange\"},{\"attributes\":{\"overlay\":{\"id\":\"1979\"}},\"id\":\"1975\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1978\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"2092\",\"type\":\"AllLabels\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"hatch_alpha\":{\"value\":0.1},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"white\"},\"top\":{\"field\":\"Views\"},\"width\":{\"value\":0.75},\"x\":{\"field\":\"Version\"}},\"id\":\"1992\",\"type\":\"VBar\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1979\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.2},\"fill_color\":{\"value\":\"#1f77b4\"},\"hatch_alpha\":{\"value\":0.2},\"line_alpha\":{\"value\":0.2},\"line_color\":{\"value\":\"white\"},\"top\":{\"field\":\"Views\"},\"width\":{\"value\":0.75},\"x\":{\"field\":\"Version\"}},\"id\":\"1993\",\"type\":\"VBar\"},{\"attributes\":{\"source\":{\"id\":\"1989\"}},\"id\":\"1995\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1977\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"2089\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"2094\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1973\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"1976\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"2091\",\"type\":\"CategoricalTickFormatter\"},{\"attributes\":{},\"id\":\"2088\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"Page views by RTD version (2024-04-02 to 2024-07-01)\"},\"id\":\"1956\",\"type\":\"Title\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1989\"},\"glyph\":{\"id\":\"1991\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1993\"},\"nonselection_glyph\":{\"id\":\"1992\"},\"view\":{\"id\":\"1995\"}},\"id\":\"1994\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"tools\":[{\"id\":\"1973\"},{\"id\":\"1974\"},{\"id\":\"1975\"},{\"id\":\"1976\"},{\"id\":\"1977\"},{\"id\":\"1978\"},{\"id\":\"1980\"}]},\"id\":\"1981\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1967\",\"type\":\"CategoricalTicker\"},{\"attributes\":{\"data\":{\"Version\":[\"latest\",\"stable\"],\"Views\":[247,100],\"index\":[0,1]},\"selected\":{\"id\":\"2094\"},\"selection_policy\":{\"id\":\"2093\"}},\"id\":\"1989\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"tooltips\":[[\"Version\",\"@Version\"],[\"Views\",\"@Views\"]]},\"id\":\"1980\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"1960\",\"type\":\"DataRange1d\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"2091\"},\"group\":null,\"major_label_orientation\":1.57,\"major_label_policy\":{\"id\":\"2092\"},\"ticker\":{\"id\":\"1967\"}},\"id\":\"1966\",\"type\":\"CategoricalAxis\"},{\"attributes\":{},\"id\":\"1970\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1962\",\"type\":\"CategoricalScale\"},{\"attributes\":{\"axis_label\":\"Total page views\",\"coordinates\":null,\"formatter\":{\"id\":\"2088\"},\"group\":null,\"major_label_policy\":{\"id\":\"2089\"},\"ticker\":{\"id\":\"1970\"}},\"id\":\"1969\",\"type\":\"LinearAxis\"}],\"root_ids\":[\"1955\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n  const render_items = [{\"docid\":\"2f198d18-04c7-40e3-b607-d53b700398fe\",\"root_ids\":[\"1955\"],\"roots\":{\"1955\":\"80ae41ad-f3b1-4bae-81ad-a00fdb2b0789\"}}];\n  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n  }\n  if (root.Bokeh !== undefined) {\n    embed_document(root);\n  } else {\n    let attempts = 0;\n    const timer = setInterval(function(root) {\n      if (root.Bokeh !== undefined) {\n        clearInterval(timer);\n        embed_document(root);\n      } else {\n        attempts++;\n        if (attempts > 100) {\n          clearInterval(timer);\n          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n        }\n      }\n    }, 10, root)\n  }\n})(window);",
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1955"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "total_by_version = df.groupby('Version')['Views'].sum().reset_index()\n",
    "\n",
    "p = figure(x_range=total_by_version['Version'], height=350, tooltips=[(\"Version\", \"@Version\"), (\"Views\", \"@Views\")],\n",
    "           title=f\"Page views by RTD version ({data_period})\",)\n",
    "p.vbar(x='Version', top='Views', width=0.75, source=total_by_version,\n",
    "       line_color='white')\n",
    "p.xaxis.major_label_orientation = 3.14/2\n",
    "p.yaxis.axis_label = 'Total page views'\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div class=\"bk-root\" id=\"daecaeb2-7dda-4abd-bad7-d23c0ff855f6\" data-root-id=\"2146\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": "(function(root) {\n  function embed_document(root) {\n  const docs_json = 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      "application/vnd.bokehjs_exec.v0+json": ""
     },
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      "application/vnd.bokehjs_exec.v0+json": {
       "id": "2146"
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     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "daily_views = df.pivot_table(values='Views', index='Date', columns='Version', aggfunc='sum')[['stable', 'latest']].fillna(0)\n",
    "\n",
    "p = figure(x_axis_type=\"datetime\", height=350, title=f\"Daily views by RTD version\")\n",
    "hover_tool = HoverTool(tooltips=[('Date', '@x{%Y-%m-%d}'), ('Views', '@y')],\n",
    "                       formatters={'@x': 'datetime'})\n",
    "hover_tool.point_policy = 'snap_to_data'\n",
    "p.add_tools(hover_tool)\n",
    "p.line(daily_views.index, daily_views['stable'], legend_label='stable')\n",
    "p.line(daily_views.index, daily_views['latest'], legend_label='latest', color='#ff7f0e')\n",
    "p.yaxis.axis_label = 'Daily page views'\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = df.loc[df['Version'] == 'stable', :].copy()\n",
    "pathviews = df2.groupby('Path')['Views'].sum().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
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      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
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      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "subset = pathviews.sort_values('Views', ascending=False)\n",
    "p = figure(y_range=subset['Path'], height=400, tooltips=[(\"URL\", \"@Path\"), (\"Views\", \"@Views\")],\n",
    "           title=f\"Views by URL ({data_period})\")\n",
    "p.hbar(y='Path', right='Views', source=subset, height=0.75,\n",
    "       line_color='white')\n",
    "p.xaxis.axis_label = 'Total page views'\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## GitHub"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "gh = utils.get_github_stars(gh_project)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "2711"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = utils.plot_github_stars_timeseries(gh)\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div class=\"bk-root\" id=\"0c2122b5-4878-47f5-92e2-35aa3136fc28\" data-root-id=\"3022\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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Contributors\",\"@y\"]]},\"id\":\"3053\",\"type\":\"HoverTool\"}],\"root_ids\":[\"3022\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n  const render_items = [{\"docid\":\"f9509eca-3c3b-4e2b-b7ae-9de6d1b890a8\",\"root_ids\":[\"3022\"],\"roots\":{\"3022\":\"0c2122b5-4878-47f5-92e2-35aa3136fc28\"}}];\n  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n  }\n  if (root.Bokeh !== undefined) {\n    embed_document(root);\n  } else {\n    let attempts = 0;\n    const timer = setInterval(function(root) {\n      if (root.Bokeh !== undefined) {\n        clearInterval(timer);\n        embed_document(root);\n      } else {\n        attempts++;\n        if (attempts > 100) {\n          clearInterval(timer);\n          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n        }\n      }\n    }, 10, root)\n  }\n})(window);",
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "3022"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "contributor_ts, _ = utils.get_github_contributor_timeseries(gh_project)\n",
    "p = utils.plot_github_contributors_timeseries(contributor_ts)\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "contributors = utils.get_github_contributors(gh_project)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=645x60>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mosaic = utils.make_github_contributors_mosaic(contributors)\n",
    "mosaic"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv",
   "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": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}