Dashboard_V2.ipynb

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       "  box-sizing: border-box;\n",
       "  font-family: var(--jp-ui-font-family);\n",
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       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
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       "  var docs_json = {\"34ef6d00-e1e3-4ee1-9818-f386307a96cc\":{\"version\":\"3.6.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"30d16117-c55e-4a97-b236-4ef0df9349f6\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"aba15936-070f-4dc1-b5f2-68fb2aff2c91\",\"attributes\":{\"plot_id\":\"30d16117-c55e-4a97-b236-4ef0df9349f6\",\"comm_id\":\"32a56f79da0646f6a9dbf73f5410930f\",\"client_comm_id\":\"81c9310b73124c939dd9231df1a63c5b\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"ReactiveESM1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"JSComponent1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"ReactComponent1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"AnyWidgetComponent1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"request_value1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"_synced\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_request_sync\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
       "  var render_items = [{\"docid\":\"34ef6d00-e1e3-4ee1-9818-f386307a96cc\",\"roots\":{\"30d16117-c55e-4a97-b236-4ef0df9349f6\":\"f9638f95-6dbb-4fa7-92d8-461594a563f4\"},\"root_ids\":[\"30d16117-c55e-4a97-b236-4ef0df9349f6\"]}];\n",
       "  var docs = Object.values(docs_json)\n",
       "  if (!docs) {\n",
       "    return\n",
       "  }\n",
       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
       "  async function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t  for (const child of root_el.children) {\n",
       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
       "\t  }\n",
       "\t}\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "  function get_bokeh(root) {\n",
       "    if (root.Bokeh === undefined) {\n",
       "      return null\n",
       "    } else if (root.Bokeh.version !== py_version) {\n",
       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
       "\treturn null\n",
       "      }\n",
       "      return root.Bokeh.versions.get(py_version);\n",
       "    } else if (root.Bokeh.version === py_version) {\n",
       "      return root.Bokeh\n",
       "    }\n",
       "    return null\n",
       "  }\n",
       "  function is_loaded(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    return (Bokeh != null && Bokeh.Panel !== undefined && ( root.Plotly !== undefined) && ( root.Plotly !== undefined))\n",
       "  }\n",
       "  if (is_loaded(root)) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (is_loaded(root)) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "\t  var Bokeh = get_bokeh(root)\n",
       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
       "\t  } else {\n",
       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
       "\t    embed_document(root)\n",
       "\t  }\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ]
     },
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "30d16117-c55e-4a97-b236-4ef0df9349f6"
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG:markdown_it.rules_block.code:entering code: StateBlock(line=0,level=0,tokens=0), 0, 1, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=0,level=0,tokens=0), 0, 1, False\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=0,level=0,tokens=0), 0, 1, False\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=0,level=0,tokens=0), 0, 1, False\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=0,level=0,tokens=0), 0, 1, False\n",
      "DEBUG:markdown_it.rules_block.reference:entering reference: StateBlock(line=0,level=0,tokens=0), 0, 1, False\n",
      "DEBUG:markdown_it.rules_block.html_block:entering html_block: StateBlock(line=0,level=0,tokens=0), 0, 1, False\n",
      "DEBUG:markdown_it.rules_block.heading:entering heading: StateBlock(line=0,level=0,tokens=0), 0, 1, False\n",
      "DEBUG:markdown_it.rules_block.code:entering code: StateBlock(line=0,level=0,tokens=0), 0, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=0,level=0,tokens=0), 0, 8, False\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=0,level=0,tokens=0), 0, 8, False\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=0,level=0,tokens=0), 0, 8, False\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=0,level=0,tokens=0), 0, 8, False\n",
      "DEBUG:markdown_it.rules_block.reference:entering reference: StateBlock(line=0,level=0,tokens=0), 0, 8, False\n",
      "DEBUG:markdown_it.rules_block.html_block:entering html_block: StateBlock(line=0,level=0,tokens=0), 0, 8, False\n",
      "DEBUG:markdown_it.rules_block.heading:entering heading: StateBlock(line=0,level=0,tokens=0), 0, 8, False\n",
      "DEBUG:markdown_it.rules_block.code:entering code: StateBlock(line=1,level=0,tokens=3), 1, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=1,level=0,tokens=3), 1, 8, False\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=1,level=0,tokens=3), 1, 8, False\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=1,level=0,tokens=3), 1, 8, False\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=1,level=0,tokens=3), 1, 8, False\n",
      "DEBUG:markdown_it.rules_block.code:entering code: StateBlock(line=1,level=2,tokens=5), 1, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=1,level=2,tokens=5), 1, 8, False\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=1,level=2,tokens=5), 1, 8, False\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=1,level=2,tokens=5), 1, 8, False\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=1,level=2,tokens=5), 1, 8, False\n",
      "DEBUG:markdown_it.rules_block.reference:entering reference: StateBlock(line=1,level=2,tokens=5), 1, 8, False\n",
      "DEBUG:markdown_it.rules_block.html_block:entering html_block: StateBlock(line=1,level=2,tokens=5), 1, 8, False\n",
      "DEBUG:markdown_it.rules_block.heading:entering heading: StateBlock(line=1,level=2,tokens=5), 1, 8, False\n",
      "DEBUG:markdown_it.rules_block.lheading:entering lheading: StateBlock(line=1,level=2,tokens=5), 1, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=1,level=2,tokens=5), 2, 8, True\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=1,level=2,tokens=5), 2, 8, True\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=1,level=2,tokens=5), 2, 8, True\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=1,level=2,tokens=5), 2, 8, True\n",
      "DEBUG:markdown_it.rules_block.paragraph:entering paragraph: StateBlock(line=1,level=2,tokens=5), 1, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=1,level=2,tokens=5), 2, 8, True\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=1,level=2,tokens=5), 2, 8, True\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=1,level=2,tokens=5), 2, 8, True\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=1,level=2,tokens=5), 2, 8, True\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=2,level=1,tokens=9), 2, 8, True\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=2,level=1,tokens=9), 2, 8, True\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=2,level=1,tokens=9), 2, 8, True\n",
      "DEBUG:markdown_it.rules_block.code:entering code: StateBlock(line=2,level=2,tokens=10), 2, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=2,level=2,tokens=10), 2, 8, False\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=2,level=2,tokens=10), 2, 8, False\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=2,level=2,tokens=10), 2, 8, False\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=2,level=2,tokens=10), 2, 8, False\n",
      "DEBUG:markdown_it.rules_block.reference:entering reference: StateBlock(line=2,level=2,tokens=10), 2, 8, False\n",
      "DEBUG:markdown_it.rules_block.html_block:entering html_block: StateBlock(line=2,level=2,tokens=10), 2, 8, False\n",
      "DEBUG:markdown_it.rules_block.heading:entering heading: StateBlock(line=2,level=2,tokens=10), 2, 8, False\n",
      "DEBUG:markdown_it.rules_block.lheading:entering lheading: StateBlock(line=2,level=2,tokens=10), 2, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=2,level=2,tokens=10), 3, 8, True\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=2,level=2,tokens=10), 3, 8, True\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=2,level=2,tokens=10), 3, 8, True\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=2,level=2,tokens=10), 3, 8, True\n",
      "DEBUG:markdown_it.rules_block.paragraph:entering paragraph: StateBlock(line=2,level=2,tokens=10), 2, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=2,level=2,tokens=10), 3, 8, True\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=2,level=2,tokens=10), 3, 8, True\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=2,level=2,tokens=10), 3, 8, True\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=2,level=2,tokens=10), 3, 8, True\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=3,level=1,tokens=14), 3, 8, True\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=3,level=1,tokens=14), 3, 8, True\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=3,level=1,tokens=14), 3, 8, True\n",
      "DEBUG:markdown_it.rules_block.code:entering code: StateBlock(line=3,level=2,tokens=15), 3, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=3,level=2,tokens=15), 3, 8, False\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=3,level=2,tokens=15), 3, 8, False\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=3,level=2,tokens=15), 3, 8, False\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=3,level=2,tokens=15), 3, 8, False\n",
      "DEBUG:markdown_it.rules_block.reference:entering reference: StateBlock(line=3,level=2,tokens=15), 3, 8, False\n",
      "DEBUG:markdown_it.rules_block.html_block:entering html_block: StateBlock(line=3,level=2,tokens=15), 3, 8, False\n",
      "DEBUG:markdown_it.rules_block.heading:entering heading: StateBlock(line=3,level=2,tokens=15), 3, 8, False\n",
      "DEBUG:markdown_it.rules_block.lheading:entering lheading: StateBlock(line=3,level=2,tokens=15), 3, 8, False\n",
      "DEBUG:markdown_it.rules_block.paragraph:entering paragraph: StateBlock(line=3,level=2,tokens=15), 3, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=5,level=1,tokens=19), 5, 8, True\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=5,level=1,tokens=19), 5, 8, True\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=5,level=1,tokens=19), 5, 8, True\n",
      "DEBUG:markdown_it.rules_block.code:entering code: StateBlock(line=5,level=0,tokens=20), 5, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=5,level=0,tokens=20), 5, 8, False\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=5,level=0,tokens=20), 5, 8, False\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=5,level=0,tokens=20), 5, 8, False\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=5,level=0,tokens=20), 5, 8, False\n",
      "DEBUG:markdown_it.rules_block.reference:entering reference: StateBlock(line=5,level=0,tokens=20), 5, 8, False\n",
      "DEBUG:markdown_it.rules_block.html_block:entering html_block: StateBlock(line=5,level=0,tokens=20), 5, 8, False\n",
      "DEBUG:markdown_it.rules_block.heading:entering heading: StateBlock(line=5,level=0,tokens=20), 5, 8, False\n",
      "DEBUG:markdown_it.rules_block.code:entering code: StateBlock(line=6,level=0,tokens=23), 6, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=6,level=0,tokens=23), 6, 8, False\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=6,level=0,tokens=23), 6, 8, False\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=6,level=0,tokens=23), 6, 8, False\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=6,level=0,tokens=23), 6, 8, False\n",
      "DEBUG:markdown_it.rules_block.code:entering code: StateBlock(line=6,level=2,tokens=25), 6, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=6,level=2,tokens=25), 6, 8, False\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=6,level=2,tokens=25), 6, 8, False\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=6,level=2,tokens=25), 6, 8, False\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=6,level=2,tokens=25), 6, 8, False\n",
      "DEBUG:markdown_it.rules_block.reference:entering reference: StateBlock(line=6,level=2,tokens=25), 6, 8, False\n",
      "DEBUG:markdown_it.rules_block.html_block:entering html_block: StateBlock(line=6,level=2,tokens=25), 6, 8, False\n",
      "DEBUG:markdown_it.rules_block.heading:entering heading: StateBlock(line=6,level=2,tokens=25), 6, 8, False\n",
      "DEBUG:markdown_it.rules_block.lheading:entering lheading: StateBlock(line=6,level=2,tokens=25), 6, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=6,level=2,tokens=25), 7, 8, True\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=6,level=2,tokens=25), 7, 8, True\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=6,level=2,tokens=25), 7, 8, True\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=6,level=2,tokens=25), 7, 8, True\n",
      "DEBUG:markdown_it.rules_block.paragraph:entering paragraph: StateBlock(line=6,level=2,tokens=25), 6, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=6,level=2,tokens=25), 7, 8, True\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=6,level=2,tokens=25), 7, 8, True\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=6,level=2,tokens=25), 7, 8, True\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=6,level=2,tokens=25), 7, 8, True\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=7,level=1,tokens=29), 7, 8, True\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=7,level=1,tokens=29), 7, 8, True\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=7,level=1,tokens=29), 7, 8, True\n",
      "DEBUG:markdown_it.rules_block.code:entering code: StateBlock(line=7,level=2,tokens=30), 7, 8, False\n",
      "DEBUG:markdown_it.rules_block.fence:entering fence: StateBlock(line=7,level=2,tokens=30), 7, 8, False\n",
      "DEBUG:markdown_it.rules_block.blockquote:entering blockquote: StateBlock(line=7,level=2,tokens=30), 7, 8, False\n",
      "DEBUG:markdown_it.rules_block.hr:entering hr: StateBlock(line=7,level=2,tokens=30), 7, 8, False\n",
      "DEBUG:markdown_it.rules_block.list:entering list: StateBlock(line=7,level=2,tokens=30), 7, 8, False\n",
      "DEBUG:markdown_it.rules_block.reference:entering reference: StateBlock(line=7,level=2,tokens=30), 7, 8, False\n",
      "DEBUG:markdown_it.rules_block.html_block:entering html_block: StateBlock(line=7,level=2,tokens=30), 7, 8, False\n",
      "DEBUG:markdown_it.rules_block.heading:entering heading: StateBlock(line=7,level=2,tokens=30), 7, 8, False\n",
      "DEBUG:markdown_it.rules_block.lheading:entering lheading: StateBlock(line=7,level=2,tokens=30), 7, 8, False\n",
      "DEBUG:markdown_it.rules_block.paragraph:entering paragraph: StateBlock(line=7,level=2,tokens=30), 7, 8, False\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "03307a9a6c0541489cc9c68a8ed8be7e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "BokehModel(combine_events=True, render_bundle={'docs_json': {'36cd7a28-5cfa-4315-a72e-d5452241c942': {'version…"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 30, 994000, tzinfo=tzutc()), 'msg_id': '17d291fd-c1b7-416d-915e-f9f9e9c810cf', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': '17d291fd-c1b7-416d-915e-f9f9e9c810cf', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'update', 'state': {'_view_count': 1}, 'buffer_paths': []}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 31, 429000, tzinfo=tzutc()), 'msg_id': '820d699d-71e9-40c5-8a8c-ab9620faa3ad', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': '820d699d-71e9-40c5-8a8c-ab9620faa3ad', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': 'a838e904-fe86-47a0-8b72-bece4ff873c0'}, 'attr': 'viewport', 'new': {'type': 'map', 'entries': [['xaxis.range', [2011.384398876443, 2019.6248593517316]], ['yaxis.range', [-2.599706517610569, 58.026929568462165]]]}, 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 32, 28000, tzinfo=tzutc()), 'msg_id': '0a2ca037-cea0-405d-83cd-af98eb479fe7', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': '0a2ca037-cea0-405d-83cd-af98eb479fe7', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': '8a80374a-a90c-465d-a8f0-c1fa383f0595'}, 'attr': 'viewport', 'new': {'type': 'map', 'entries': [['xaxis.range', [-0.5, 54.5]], ['yaxis.range', [0, 154.73684210526315]]]}, 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 32, 29000, tzinfo=tzutc()), 'msg_id': '10d5459c-181e-4bd5-bdb0-d54122c34cb7', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': '10d5459c-181e-4bd5-bdb0-d54122c34cb7', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': 'f7917e19-1edd-4973-a691-201c77e02b32'}, 'attr': 'viewport', 'new': {'type': 'map', 'entries': [['xaxis.range', [2012, 2019]], ['yaxis.range', [-1.6666666666666572, 3511.6666666666665]]]}, 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 32, 46000, tzinfo=tzutc()), 'msg_id': 'c97508a9-c14f-4819-9755-8899f0bf74f0', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': 'c97508a9-c14f-4819-9755-8899f0bf74f0', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': 'e7a259e9-5586-404c-a437-a6632f751853'}, 'attr': 'viewport', 'new': {'type': 'map', 'entries': [['xaxis.range', [2011.4583333333333, 2019.5416666666667]], ['yaxis.range', [-1.8333333333333335, 54.833333333333336]]]}, 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 32, 65000, tzinfo=tzutc()), 'msg_id': 'cf957a64-fe80-42cb-98d4-411d3d435cbc', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': 'cf957a64-fe80-42cb-98d4-411d3d435cbc', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': '5753f0e1-088d-4b60-84ca-01fffeb9df73'}, 'attr': 'viewport', 'new': {'type': 'map', 'entries': [['xaxis.range', [2012, 2019]], ['yaxis.range', [-692.5555555555555, 14018.555555555555]]]}, 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 32, 72000, tzinfo=tzutc()), 'msg_id': '040198e7-b5cd-4d24-8442-9a2b677eae8a', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': '040198e7-b5cd-4d24-8442-9a2b677eae8a', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': 'c932c0e8-5040-45d0-bc9d-6c739c163fa1'}, 'attr': 'viewport', 'new': {'type': 'map', 'entries': [['xaxis.range', [-0.5, 61.5]], ['yaxis.range', [0, 1594.7368421052631]]]}, 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 32, 97000, tzinfo=tzutc()), 'msg_id': 'd5c7645b-d6c7-4d09-b5bb-5a558bcf3506', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': 'd5c7645b-d6c7-4d09-b5bb-5a558bcf3506', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': 'b52137c9-cec4-47bf-8fa7-b84c40c3c4de'}, 'attr': 'viewport', 'new': {'type': 'map', 'entries': [['xaxis.range', [2011.5, 2019.5]], ['yaxis.range', [61.5, -0.5]]]}, 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 32, 100000, tzinfo=tzutc()), 'msg_id': 'da4227f8-718f-4f3e-be33-eef4a177b225', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': 'da4227f8-718f-4f3e-be33-eef4a177b225', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': 'a838e904-fe86-47a0-8b72-bece4ff873c0'}, 'attr': 'relayout_data', 'new': {'type': 'map', 'entries': [['width', 800], ['height', 500]]}, 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 32, 147000, tzinfo=tzutc()), 'msg_id': '8c68e51a-9dc9-4c98-b7cc-1e8680137efa', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': '8c68e51a-9dc9-4c98-b7cc-1e8680137efa', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': '8a80374a-a90c-465d-a8f0-c1fa383f0595'}, 'attr': 'relayout_data', 'new': {'type': 'map', 'entries': [['width', 800], ['height', 500]]}, 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 32, 159000, tzinfo=tzutc()), 'msg_id': '90847de3-1f1f-46cf-be17-ea4a7bf35d47', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': '90847de3-1f1f-46cf-be17-ea4a7bf35d47', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': 'f7917e19-1edd-4973-a691-201c77e02b32'}, 'attr': 'relayout_data', 'new': {'type': 'map', 'entries': [['width', 800], ['height', 500]]}, 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 32, 170000, tzinfo=tzutc()), 'msg_id': 'd9ea46b8-585e-45dc-b8f0-73202a4ffddb', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': 'd9ea46b8-585e-45dc-b8f0-73202a4ffddb', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': 'e7a259e9-5586-404c-a437-a6632f751853'}, 'attr': 'relayout_data', 'new': {'type': 'map', 'entries': [['width', 800], ['height', 500]]}, 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 32, 176000, tzinfo=tzutc()), 'msg_id': '4015a0f5-7f60-4af7-b651-cf0915d43263', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': '4015a0f5-7f60-4af7-b651-cf0915d43263', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': '5753f0e1-088d-4b60-84ca-01fffeb9df73'}, 'attr': 'relayout_data', 'new': {'type': 'map', 'entries': [['width', 800], ['height', 500]]}, 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 32, 190000, tzinfo=tzutc()), 'msg_id': 'bc1a768e-28d0-4b13-b90a-cccc4eb09b07', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': 'bc1a768e-28d0-4b13-b90a-cccc4eb09b07', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': 'c932c0e8-5040-45d0-bc9d-6c739c163fa1'}, 'attr': 'relayout_data', 'new': {'type': 'map', 'entries': [['width', 800], ['height', 500]]}, 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 32, 198000, tzinfo=tzutc()), 'msg_id': 'f79b459f-7a81-4ba7-a192-aa81ee11cab5', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': 'f79b459f-7a81-4ba7-a192-aa81ee11cab5', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': 'b52137c9-cec4-47bf-8fa7-b84c40c3c4de'}, 'attr': 'relayout_data', 'new': {'type': 'map', 'entries': [['width', 800], ['height', 500]]}, 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 32, 215000, tzinfo=tzutc()), 'msg_id': '63880014-4c46-406d-adb0-c50ed8ac10d0', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': '63880014-4c46-406d-adb0-c50ed8ac10d0', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'MessageSent', 'msg_type': 'bokeh_event', 'msg_data': {'type': 'event', 'name': 'document_ready', 'values': {'type': 'map'}}, 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 35, 546000, tzinfo=tzutc()), 'msg_id': '2cad5bd2-bcf2-4563-b0c3-874fc190b47b', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': '2cad5bd2-bcf2-4563-b0c3-874fc190b47b', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': 'a617ea3f-c919-479d-bbcd-f4eed56e0251'}, 'attr': 'value', 'new': ['BFD-7223'], 'event': 'jsevent'}}}, 'buffers': []})\n",
      "DEBUG:Comm:handle_msg[03307a9a6c0541489cc9c68a8ed8be7e]({'header': {'date': datetime.datetime(2024, 12, 13, 12, 26, 36, 317000, tzinfo=tzutc()), 'msg_id': '2d574433-0dac-4523-a619-0f4b35fde1bf', 'msg_type': 'comm_msg', 'session': '87e973be-c068-4a5b-87d1-5e130617c3f3', 'username': '03a872d1-1f7f-4ef5-8efc-c3e35b92bc20', 'version': '5.2'}, 'msg_id': '2d574433-0dac-4523-a619-0f4b35fde1bf', 'msg_type': 'comm_msg', 'parent_header': {}, 'metadata': {}, 'content': {'comm_id': '03307a9a6c0541489cc9c68a8ed8be7e', 'data': {'method': 'custom', 'content': {'kind': 'ModelChanged', 'model': {'id': '1a050095-bd8b-40d2-b92f-5d9c41ccf2aa'}, 'attr': 'viewport', 'new': {'type': 'map', 'entries': [['xaxis.range', [2015.7458096084113, 2019.2707085870186]], ['yaxis.range', [8.821991776364579, 51.21423815810814]]]}, 'event': 'jsevent'}}}, 'buffers': []})\n",
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     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import panel as pn\n",
    "import plotly.express as px\n",
    "import plotly.io as pio\n",
    "import logging\n",
    "\n",
    "# Initialize logging\n",
    "logging.basicConfig(level=logging.DEBUG)\n",
    "\n",
    "# Set default Plotly theme\n",
    "pio.templates.default = \"plotly_dark\"\n",
    "\n",
    "# Load and preprocess the data\n",
    "file_path = r'D:\\Project_Tuna_Fisheries_Data_Entry\\Data\\Python\\TFDF File Main database_09-12-2024.xlsx'\n",
    "\n",
    "try:\n",
    "    data = pd.read_excel(file_path, sheet_name='Sheet1')\n",
    "except (FileNotFoundError, ValueError):\n",
    "    print(\"Error loading data. Falling back to sample dataset for demonstration purposes.\")\n",
    "    data = pd.DataFrame({\n",
    "        'Reg No.': ['A1', 'B2', 'C3'],\n",
    "        'Year': [2018, 2019, 2020],\n",
    "        'Total sheets': [10, 20, 30]\n",
    "    })\n",
    "\n",
    "# Validate columns\n",
    "required_columns = {'Reg No.', 'Year', 'Total sheets'}\n",
    "if not required_columns.issubset(data.columns):\n",
    "    raise KeyError(f\"Required columns are missing: {required_columns - set(data.columns)}.\")\n",
    "\n",
    "focused_data = data[['Reg No.', 'Year', 'Total sheets']].dropna(subset=required_columns)\n",
    "if focused_data.empty:\n",
    "    raise ValueError(\"Processed dataset is empty after cleaning. Check the data.\")\n",
    "\n",
    "# Initialize Panel extensions\n",
    "pn.extension('plotly')\n",
    "\n",
    "# Define Widgets\n",
    "reg_selector = pn.widgets.MultiChoice(\n",
    "    name='Registration Numbers',\n",
    "    options=list(focused_data['Reg No.'].unique()),\n",
    "    placeholder=\"Select Registration Numbers (Optional)\"\n",
    ")\n",
    "year_selector = pn.widgets.MultiChoice(\n",
    "    name='Year',\n",
    "    options=list(sorted(focused_data['Year'].unique())),\n",
    "    placeholder=\"Select Years (Optional)\"\n",
    ")\n",
    "total_sheets_selector = pn.widgets.MultiChoice(\n",
    "    name='Total Sheets',\n",
    "    options=list(sorted(focused_data['Total sheets'].unique())),\n",
    "    placeholder=\"Select Total Sheets (Optional)\"\n",
    ")\n",
    "theme_toggle = pn.widgets.Toggle(name=\"Dark Mode\", value=True)\n",
    "reset_button = pn.widgets.Button(name=\"Reset Filters\", button_type=\"primary\")\n",
    "\n",
    "# Cache for filtered data\n",
    "_filtered_cache = None\n",
    "\n",
    "def invalidate_cache(*events):\n",
    "    global _filtered_cache\n",
    "    _filtered_cache = None\n",
    "\n",
    "def filter_data():\n",
    "    global _filtered_cache\n",
    "    if _filtered_cache is not None:\n",
    "        return _filtered_cache\n",
    "    filtered = focused_data.copy()\n",
    "    if reg_selector.value:\n",
    "        filtered = filtered[filtered['Reg No.'].isin(reg_selector.value)]\n",
    "    if year_selector.value:\n",
    "        filtered = filtered[filtered['Year'].isin(year_selector.value)]\n",
    "    if total_sheets_selector.value:\n",
    "        filtered = filtered[filtered['Total sheets'].isin(total_sheets_selector.value)]\n",
    "    _filtered_cache = filtered\n",
    "    return filtered\n",
    "\n",
    "# Reset filters\n",
    "def reset_filters(event):\n",
    "    reg_selector.value = []\n",
    "    year_selector.value = []\n",
    "    total_sheets_selector.value = []\n",
    "    invalidate_cache()\n",
    "\n",
    "reset_button.on_click(reset_filters)\n",
    "reg_selector.param.watch(invalidate_cache, 'value')\n",
    "year_selector.param.watch(invalidate_cache, 'value')\n",
    "total_sheets_selector.param.watch(invalidate_cache, 'value')\n",
    "\n",
    "# Update theme\n",
    "@pn.depends(theme_toggle.param.value, watch=True)\n",
    "def update_theme(is_dark):\n",
    "    pio.templates.default = \"plotly_dark\" if is_dark else \"plotly_white\"\n",
    "\n",
    "# KPI Cards\n",
    "def kpi_card(name, value, description):\n",
    "    return pn.pane.HTML(\n",
    "        f\"\"\"\n",
    "        <div style='text-align: center; padding: 10px; border: 1px solid #ccc; border-radius: 10px; background-color: #f9f9f9;'>\n",
    "            <h3 style='margin: 5px;'>{name}</h3>\n",
    "            <p style='font-size: 24px; margin: 5px; font-weight: bold;'>{value}</p>\n",
    "            <p style='font-size: 12px; margin: 5px; color: #555;'>{description}</p>\n",
    "        </div>\n",
    "        \"\"\",\n",
    "        width=200\n",
    "    )\n",
    "\n",
    "# Display KPIs\n",
    "@pn.depends(reg_selector.param.value, year_selector.param.value, total_sheets_selector.param.value)\n",
    "def display_kpis(reg_numbers, years, sheets):\n",
    "    filtered = filter_data()\n",
    "\n",
    "    if filtered.empty:\n",
    "        return pn.pane.Markdown(\"### No data matches the selected filters. Please adjust the filters.\", style={\"color\": \"red\"})\n",
    "\n",
    "    total_registrations = filtered['Reg No.'].nunique()\n",
    "    total_sheets = filtered['Total sheets'].sum()\n",
    "    avg_sheets = filtered['Total sheets'].mean()\n",
    "    median_sheets = filtered['Total sheets'].median()\n",
    "    max_sheets = filtered['Total sheets'].max()\n",
    "    std_dev_sheets = filtered['Total sheets'].std()\n",
    "\n",
    "    return pn.Row(\n",
    "        kpi_card(\"Total Registrations\", total_registrations, \"Unique registrations in the filtered data\"),\n",
    "        kpi_card(\"Total Sheets\", total_sheets, \"Sum of all sheets in the filtered data\"),\n",
    "        kpi_card(\"Avg Sheets/Reg\", f\"{avg_sheets:.2f}\", \"Average sheets per registration\"),\n",
    "        kpi_card(\"Median Sheets/Reg\", f\"{median_sheets:.2f}\", \"Median of sheets per registration\"),\n",
    "        kpi_card(\"Max Sheets/Reg\", max_sheets, \"Maximum sheets by a single registration\"),\n",
    "        kpi_card(\"Std Dev Sheets\", f\"{std_dev_sheets:.2f}\", \"Standard deviation of sheets\")\n",
    "    )\n",
    "\n",
    "# Create Charts in Tabs\n",
    "@pn.depends(reg_selector.param.value, year_selector.param.value, total_sheets_selector.param.value)\n",
    "def create_charts_in_tabs(reg_numbers, years, sheets):\n",
    "    filtered = filter_data()\n",
    "    if filtered.empty:\n",
    "        return pn.pane.Markdown(\n",
    "            f\"### No data available for the selected filters:\\n\"\n",
    "            f\"- Registration Numbers: {', '.join(reg_selector.value) or 'All'}\\n\"\n",
    "            f\"- Years: {', '.join(map(str, year_selector.value)) or 'All'}\\n\"\n",
    "            f\"- Total Sheets: {', '.join(map(str, total_sheets_selector.value)) or 'All'}\",\n",
    "            style={\"color\": \"red\"}\n",
    "        )\n",
    "\n",
    "    # Regenerate charts dynamically\n",
    "    tabs = pn.Tabs()\n",
    "    tabs.append(('Scatter Plot', pn.pane.Plotly(px.scatter(\n",
    "        filtered, x='Year', y='Total sheets', color='Reg No.',\n",
    "        size='Total sheets', title='Scatter Plot: Total Sheets vs Year',\n",
    "        trendline='ols', height=500, width=800\n",
    "    ))))\n",
    "    tabs.append(('Histogram', pn.pane.Plotly(px.histogram(\n",
    "        filtered, x='Total sheets', nbins=20,\n",
    "        title='Histogram: Distribution of Total Sheets',\n",
    "        height=500, width=800\n",
    "    ))))\n",
    "    tabs.append(('Bar Chart', pn.pane.Plotly(px.bar(\n",
    "        filtered, x='Reg No.', y='Total sheets', color='Year',\n",
    "        title='Bar Chart: Total Sheets by Registration Number',\n",
    "        height=500, width=800\n",
    "    ))))\n",
    "    tabs.append(('Line Chart', pn.pane.Plotly(px.line(\n",
    "        filtered.groupby('Year')['Total sheets'].sum().reset_index(),\n",
    "        x='Year', y='Total sheets',\n",
    "        title='Line Chart: Total Sheets Over Time',\n",
    "        height=500, width=800\n",
    "    ))))\n",
    "    tabs.append(('Box Plot', pn.pane.Plotly(px.box(\n",
    "        filtered, x='Year', y='Total sheets', color='Reg No.',\n",
    "        title='Box Plot: Total Sheets Distribution by Year',\n",
    "        height=500, width=800\n",
    "    ))))\n",
    "    heatmap_data = filtered.pivot_table(\n",
    "        index='Reg No.', columns='Year', values='Total sheets', aggfunc='sum', fill_value=0\n",
    "    )\n",
    "    tabs.append(('Heatmap', pn.pane.Plotly(px.imshow(\n",
    "        heatmap_data, title='Heatmap: Total Sheets by Year and Registration Number',\n",
    "        color_continuous_scale='Viridis', height=500, width=800\n",
    "    ))))\n",
    "    cumulative_data = filtered.sort_values(by='Year')\n",
    "    cumulative_data['Cumulative Sheets'] = cumulative_data['Total sheets'].cumsum()\n",
    "    tabs.append(('Cumulative Chart', pn.pane.Plotly(px.line(\n",
    "        cumulative_data, x='Year', y='Cumulative Sheets',\n",
    "        title='Cumulative Sheets Over Time',\n",
    "        height=500, width=800\n",
    "    ))))\n",
    "    return tabs\n",
    "\n",
    "# Dashboard Layout\n",
    "instructions = pn.pane.Markdown(\n",
    "    \"### Instructions\\n1. Use filters to narrow down data.\\n2. Explore visualizations in real time.\\n3. Reset filters for default view.\\n\\n### Troubleshooting\\n- If no data appears, try resetting the filters.\\n- Ensure the dataset is loaded correctly and contains the required columns.\"\n",
    ")\n",
    "\n",
    "dashboard = pn.Column(\n",
    "    pn.pane.Markdown(\"# Interactive Dashboard: Total Sheets Analysis\"),\n",
    "    instructions,\n",
    "    pn.Row(\n",
    "        pn.Column(reg_selector),\n",
    "        pn.Column(year_selector),\n",
    "        pn.Column(total_sheets_selector),\n",
    "        pn.Column(theme_toggle),\n",
    "        pn.Column(reset_button),\n",
    "    ),\n",
    "    display_kpis,\n",
    "    create_charts_in_tabs\n",
    ")\n",
    "\n",
    "# Serve the Dashboard\n",
    "dashboard.servable()\n"
   ]
  }
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