{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plasma Facing Components\n",
    "\n",
    "\n",
    "Cherab-LHD provides Plasma Facing Components (PFC) meshes which limitate field of views of observers.\n",
    "The PFCs are defined by a set of raysect mesh files (`.rsm`), which are stored in the remote repository."
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "vscode": {
     "languageId": "raw"
    }
   },
   "source": [
    "When you load PFC meshes into your scenegraph,\n",
    "you can use the following function: :obj:`.load_pfc_mesh`.\n",
    "\n",
    "Here is an example of the use of the function:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from raysect.optical import World\n",
    "\n",
    "from cherab.lhd.machine import load_pfc_mesh\n",
    "\n",
    "world = World()\n",
    "meshes = load_pfc_mesh(world, reflection=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And loaded PFCs are shown as follows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">{</span>\n",
       "    <span style=\"color: #008000; text-decoration-color: #008000\">'Vacuum Vessel'</span>: <span style=\"font-weight: bold\">[&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">raysect.primitive.mesh.mesh.Mesh</span><span style=\"color: #000000; text-decoration-color: #000000\"> object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x12d82da80</span><span style=\"color: #000000; text-decoration-color: #000000\">&gt;</span><span style=\"color: #000000; text-decoration-color: #000000; font-weight: bold\">]</span><span style=\"color: #000000; text-decoration-color: #000000\">,</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">    </span><span style=\"color: #008000; text-decoration-color: #008000\">'First Wall'</span><span style=\"color: #000000; text-decoration-color: #000000\">: </span><span style=\"color: #000000; text-decoration-color: #000000; font-weight: bold\">[</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">        &lt;raysect.primitive.mesh.mesh.Mesh object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x12d82d300</span><span style=\"color: #000000; text-decoration-color: #000000\">&gt;,</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">        &lt;raysect.primitive.mesh.mesh.Mesh object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x14448c040</span><span style=\"color: #000000; text-decoration-color: #000000\">&gt;,</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">        &lt;raysect.primitive.mesh.mesh.Mesh object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x14448c2c0</span><span style=\"color: #000000; text-decoration-color: #000000\">&gt;,</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">        &lt;raysect.primitive.mesh.mesh.Mesh object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x14448c540</span><span style=\"color: #000000; text-decoration-color: #000000\">&gt;,</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">        &lt;raysect.primitive.mesh.mesh.Mesh object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x14448c7c0</span><span style=\"color: #000000; text-decoration-color: #000000\">&gt;</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">    </span><span style=\"color: #000000; text-decoration-color: #000000; font-weight: bold\">]</span><span style=\"color: #000000; text-decoration-color: #000000\">,</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">    </span><span style=\"color: #008000; text-decoration-color: #008000\">'Divertor'</span><span style=\"color: #000000; text-decoration-color: #000000\">: </span><span style=\"color: #000000; text-decoration-color: #000000; font-weight: bold\">[</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">        &lt;raysect.primitive.mesh.mesh.Mesh object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x14448ca40</span><span style=\"color: #000000; text-decoration-color: #000000\">&gt;,</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">        &lt;raysect.primitive.mesh.mesh.Mesh object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x147d9fe20</span><span style=\"color: #000000; text-decoration-color: #000000\">&gt;,</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">        &lt;raysect.primitive.mesh.mesh.Mesh object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x147de80e0</span><span style=\"color: #000000; text-decoration-color: #000000\">&gt;,</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">        &lt;raysect.primitive.mesh.mesh.Mesh object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x147de8360</span><span style=\"color: #000000; text-decoration-color: #000000\">&gt;,</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">        &lt;raysect.primitive.mesh.mesh.Mesh object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x147de85e0</span><span style=\"color: #000000; text-decoration-color: #000000\">&gt;,</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">        &lt;raysect.primitive.mesh.mesh.Mesh object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x147de8860</span><span style=\"color: #000000; text-decoration-color: #000000\">&gt;,</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">        &lt;raysect.primitive.mesh.mesh.Mesh object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x147de8ae0</span><span style=\"color: #000000; text-decoration-color: #000000\">&gt;,</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">        &lt;raysect.primitive.mesh.mesh.Mesh object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x147de8d60</span><span style=\"color: #000000; text-decoration-color: #000000\">&gt;,</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">        &lt;raysect.primitive.mesh.mesh.Mesh object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x147de8fe0</span><span style=\"color: #000000; text-decoration-color: #000000\">&gt;,</span>\n",
       "<span style=\"color: #000000; text-decoration-color: #000000\">        &lt;raysect.primitive.mesh.mesh.Mesh object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x147de9260</span><span style=\"font-weight: bold\">&gt;</span>\n",
       "    <span style=\"font-weight: bold\">]</span>\n",
       "<span style=\"font-weight: bold\">}</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m{\u001b[0m\n",
       "    \u001b[32m'Vacuum Vessel'\u001b[0m: \u001b[1m[\u001b[0m\u001b[1m<\u001b[0m\u001b[1;95mraysect.primitive.mesh.mesh.Mesh\u001b[0m\u001b[39m object at \u001b[0m\u001b[1;36m0x12d82da80\u001b[0m\u001b[39m>\u001b[0m\u001b[1;39m]\u001b[0m\u001b[39m,\u001b[0m\n",
       "\u001b[39m    \u001b[0m\u001b[32m'First Wall'\u001b[0m\u001b[39m: \u001b[0m\u001b[1;39m[\u001b[0m\n",
       "\u001b[39m        <raysect.primitive.mesh.mesh.Mesh object at \u001b[0m\u001b[1;36m0x12d82d300\u001b[0m\u001b[39m>,\u001b[0m\n",
       "\u001b[39m        <raysect.primitive.mesh.mesh.Mesh object at \u001b[0m\u001b[1;36m0x14448c040\u001b[0m\u001b[39m>,\u001b[0m\n",
       "\u001b[39m        <raysect.primitive.mesh.mesh.Mesh object at \u001b[0m\u001b[1;36m0x14448c2c0\u001b[0m\u001b[39m>,\u001b[0m\n",
       "\u001b[39m        <raysect.primitive.mesh.mesh.Mesh object at \u001b[0m\u001b[1;36m0x14448c540\u001b[0m\u001b[39m>,\u001b[0m\n",
       "\u001b[39m        <raysect.primitive.mesh.mesh.Mesh object at \u001b[0m\u001b[1;36m0x14448c7c0\u001b[0m\u001b[39m>\u001b[0m\n",
       "\u001b[39m    \u001b[0m\u001b[1;39m]\u001b[0m\u001b[39m,\u001b[0m\n",
       "\u001b[39m    \u001b[0m\u001b[32m'Divertor'\u001b[0m\u001b[39m: \u001b[0m\u001b[1;39m[\u001b[0m\n",
       "\u001b[39m        <raysect.primitive.mesh.mesh.Mesh object at \u001b[0m\u001b[1;36m0x14448ca40\u001b[0m\u001b[39m>,\u001b[0m\n",
       "\u001b[39m        <raysect.primitive.mesh.mesh.Mesh object at \u001b[0m\u001b[1;36m0x147d9fe20\u001b[0m\u001b[39m>,\u001b[0m\n",
       "\u001b[39m        <raysect.primitive.mesh.mesh.Mesh object at \u001b[0m\u001b[1;36m0x147de80e0\u001b[0m\u001b[39m>,\u001b[0m\n",
       "\u001b[39m        <raysect.primitive.mesh.mesh.Mesh object at \u001b[0m\u001b[1;36m0x147de8360\u001b[0m\u001b[39m>,\u001b[0m\n",
       "\u001b[39m        <raysect.primitive.mesh.mesh.Mesh object at \u001b[0m\u001b[1;36m0x147de85e0\u001b[0m\u001b[39m>,\u001b[0m\n",
       "\u001b[39m        <raysect.primitive.mesh.mesh.Mesh object at \u001b[0m\u001b[1;36m0x147de8860\u001b[0m\u001b[39m>,\u001b[0m\n",
       "\u001b[39m        <raysect.primitive.mesh.mesh.Mesh object at \u001b[0m\u001b[1;36m0x147de8ae0\u001b[0m\u001b[39m>,\u001b[0m\n",
       "\u001b[39m        <raysect.primitive.mesh.mesh.Mesh object at \u001b[0m\u001b[1;36m0x147de8d60\u001b[0m\u001b[39m>,\u001b[0m\n",
       "\u001b[39m        <raysect.primitive.mesh.mesh.Mesh object at \u001b[0m\u001b[1;36m0x147de8fe0\u001b[0m\u001b[39m>,\u001b[0m\n",
       "\u001b[39m        <raysect.primitive.mesh.mesh.Mesh object at \u001b[0m\u001b[1;36m0x147de9260\u001b[0m\u001b[1m>\u001b[0m\n",
       "    \u001b[1m]\u001b[0m\n",
       "\u001b[1m}\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from rich import print\n",
    "\n",
    "print(meshes)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "vscode": {
     "languageId": "raw"
    }
   },
   "source": [
    "If you want to visualize what PFCs are loaded, you can use :obj:`.visualize_pfc_meshes` function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from cherab.lhd.machine.pfc_mesh import visualize_pfc_meshes\n",
    "\n",
    "# Show only Vacuum Vessel\n",
    "meshes.pop(\"Divertor\")\n",
    "meshes.pop(\"First Wall\")\n",
    "\n",
    "fig = visualize_pfc_meshes(meshes)\n",
    "fig.show(renderer=\"jpg\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "lab",
   "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": "3.12.8"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}