{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f352cf36",
   "metadata": {},
   "source": [
    "# Demonstration of Strawberry application"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4037a51f",
   "metadata": {},
   "source": [
    "## Modules requirements\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "759ae6de",
   "metadata": {},
   "source": [
    "### External modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b123b008",
   "metadata": {},
   "outputs": [],
   "source": [
    "import ipyvuetify as v\n",
    "from traitlets import (Any, Bool, Dict, Int, Unicode, List)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23511439",
   "metadata": {},
   "source": [
    "### Internal modules (Application pages)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8f015a78",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-2.11.1.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-2.11.1.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-2.11.1.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import openalea.strawberry.application.misc as misc\n",
    "import openalea.strawberry.application.app_home as p0\n",
    "import openalea.strawberry.application.app_import_data as p1\n",
    "import openalea.strawberry.application.app_visualization as p2\n",
    "import openalea.strawberry.application.app_plant_scale as p3\n",
    "import openalea.strawberry.application.app_module_scale as p4\n",
    "import openalea.strawberry.application.app_node_scale as p5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d714939b",
   "metadata": {},
   "source": [
    "## Home page"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e1b16e3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f2978d679d7142c0a253feef4a7e8859",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Card(children=[HTML(value=' \\n<style>.someclass { color : blue ; }</style>\\n<html>\\n<body>\\n<img style=\"width:…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p0.container_main"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c130129",
   "metadata": {},
   "source": [
    "## Import mtg data from Import_MTG panel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "74142c04",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "451e7231012b4153893bc3779b8c4f25",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Container(children=[Tabs(children=[Tab(children=['Import Files']), Tab(children=['Files Description']), TabIte…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p1.container_main"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f72c209",
   "metadata": {},
   "source": [
    "## Visualise Plant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9c801d16",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a70692058a614491bf5ac20098790360",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Container(children=[Tabs(children=[Tab(children=['2d Visualization']), Tab(children=['3d Visualization']), Tab…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p2.container_main"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4bd44e92",
   "metadata": {},
   "source": [
    "## Analyses at Plant scale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "616c1c87",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b99cc0573cc243b2b5a9e6600edb05fe",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Container(children=[Tabs(children=[Tab(children=['Export']), Tab(children=['Analyses']), TabItem(children=[Row…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p3.container_main"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f8fa262",
   "metadata": {},
   "source": [
    "## Analyses at module scale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1de9e3ab",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0c10a58847814335a62985cc58ee4fba",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Container(children=[Tabs(children=[Tab(children=['Data extraction']), Tab(children=['Single genotype']), Tab(c…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\mlabadie\\miniconda3\\envs\\strawberry\\lib\\site-packages\\jupyter_client\\session.py:718: UserWarning:\n",
      "\n",
      "Message serialization failed with:\n",
      "Out of range float values are not JSON compliant\n",
      "Supporting this message is deprecated in jupyter-client 7, please make sure your message is JSON-compliant\n",
      "\n",
      "C:\\Users\\mlabadie\\miniconda3\\envs\\strawberry\\lib\\site-packages\\jupyter_client\\session.py:718: UserWarning:\n",
      "\n",
      "Message serialization failed with:\n",
      "Out of range float values are not JSON compliant\n",
      "Supporting this message is deprecated in jupyter-client 7, please make sure your message is JSON-compliant\n",
      "\n",
      "C:\\Users\\mlabadie\\miniconda3\\envs\\strawberry\\lib\\site-packages\\jupyter_client\\session.py:718: UserWarning:\n",
      "\n",
      "Message serialization failed with:\n",
      "Out of range float values are not JSON compliant\n",
      "Supporting this message is deprecated in jupyter-client 7, please make sure your message is JSON-compliant\n",
      "\n",
      "C:\\Users\\mlabadie\\miniconda3\\envs\\strawberry\\lib\\site-packages\\jupyter_client\\session.py:718: UserWarning:\n",
      "\n",
      "Message serialization failed with:\n",
      "Out of range float values are not JSON compliant\n",
      "Supporting this message is deprecated in jupyter-client 7, please make sure your message is JSON-compliant\n",
      "\n",
      "C:\\Users\\mlabadie\\miniconda3\\envs\\strawberry\\lib\\site-packages\\jupyter_client\\session.py:718: UserWarning:\n",
      "\n",
      "Message serialization failed with:\n",
      "Out of range float values are not JSON compliant\n",
      "Supporting this message is deprecated in jupyter-client 7, please make sure your message is JSON-compliant\n",
      "\n"
     ]
    }
   ],
   "source": [
    "p4.container_main"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13d78ebf",
   "metadata": {},
   "source": [
    "## Analyses at node scale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "80489984",
   "metadata": {},
   "outputs": [
    {
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       "version_major": 2,
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       "Container(children=[Tabs(children=[Tab(children=['Waffle']), TabItem(children=[Row(children=[Card(children=[HT…"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p5.container_main"
   ]
  }
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