{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e3a38be9-4747-425e-a7fc-73d2cf406e2e",
   "metadata": {},
   "source": [
    "# EMU Plotting and Analysis Tool Example: Tracer Tool"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bde5655a-562b-4d93-b711-5d6a7113117c",
   "metadata": {},
   "source": [
    "## Load Modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "27aef7d8-a995-45eb-82ce-19cba00bc12e",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Load modules\n",
    "import runpy\n",
    "# The following are needed to load the plotting tool as a module\n",
    "import sys\n",
    "sys.path.append('/efs_ecco/ECCO/EMU/emu_userinterface_dir/')\n",
    "import emu_plot_arg_py as ept"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d2e9892-f68e-4555-a72f-d3de9d2dbc70",
   "metadata": {},
   "source": [
    "## Invoking the Tool\n",
    "Invoking the tool is the same across all EMU tools. The tool determines what to plot based on the user-specified EMU run directory name. For example, 'emu_samp...' corresponds to the Sampling Tool, while 'emu_fgrd...' corresponds to the Forward Gradient Tool.\n",
    "\n",
    "There are two method to use the tool:\n",
    "- **Method 1: Menu-driven Input**\n",
    "  \n",
    "`runpy.run_path('/efs_ecco/ECCO/EMU/emu_userinterface_dir/python/emu_plot.py');`\n",
    "\n",
    "or `globals_dict = ept.emu_plot()` by using the ept module.\n",
    "\n",
    "This method is menu-driven and does not specify any arguments. This method is most suitable for users who are new to the EMU tool. The menu-driven method guides users through entering parameters and creating plots. \n",
    "\n",
    "- **Method 2: Argument-based Input**\n",
    "\n",
    "`globals_dict = ept.emu_plot(run_name=\"/PATH/emu_fgrd_7_15_743_5_-1.00E-01\")`\n",
    "\n",
    "This method uses the ept moudle and skips the step of creating plots in Method 1. Instead, it focuses on returning data for users to perform more advanced processing later. The arguments provide more flexible ways for users to extract data.\n",
    "\n",
    "For further details, including the available arguments, you can use \n",
    "\n",
    "`help(ept.emu_plot)`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5723a99c-c618-4e25-8b74-5d986685b42c",
   "metadata": {},
   "source": [
    "### Method 1: Menu-driven Input"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "aa9adda8-cf5f-4741-940f-717073db73f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found file: /efs_ecco/ECCO/EMU/emu_userinterface_dir/emu_env.singularity\n",
      "EMU Input Files directory: /efs/owang/ECCO/EMU_test/emu_input_dir\n",
      "\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter directory of EMU run to examine; e.g., emu_samp_m_2_45_585_1 ... ?  /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Reading /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0\n",
      "\n",
      "Reading Tracer Tool output ... \n",
      "\n",
      "Detected     11 files of ptracer_mon_mean.*.data\n",
      "Detected     10 files of ptracer_mon_snap.*.data\n",
      "\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Select monthly mean or snapshot ... (m/s)?  m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "==> Reading and plotting monthly means ... \n",
      "\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter file # to read ... (1-11 or -1 to exit)?  2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Reading file ... /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0/output/ptracer_mon_mean.0000002196.data\n",
      "\n",
      "time-step              = 2196\n",
      "global volume integral = 66199786551868.82\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter file # to read ... (1-11 or -1 to exit)?  5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Reading file ... /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0/output/ptracer_mon_mean.0000004392.data\n",
      "\n",
      "time-step              = 4392\n",
      "global volume integral = 66076119301631.445\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter file # to read ... (1-11 or -1 to exit)?  -1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "*********************************************\n",
      "Returning variable \n",
      "   return_vars_tmp, a dictionary with one item being\n",
      "   trc: last plotted tracer (3d) or time series of tracer (3d)\n",
      "\n",
      "\n",
      "***********************\n",
      "EMU variables read as global variables in module global_emu_var (emu); e.g., emu.nx\n",
      "***********************\n",
      "cs                  drc                 drf                 dvol3d              \n",
      "dxc                 dxg                 dyc                 dyg                 \n",
      "hfacc               hfacs               hfacw               nr                  \n",
      "nx                  ny                  rac                 ras                 \n",
      "raw                 raz                 rc                  rf                  \n",
      "sn                  trc3d               xc                  xg                  \n",
      "yc                  yg                  \n"
     ]
    }
   ],
   "source": [
    "runpy.run_path('/efs_ecco/ECCO/EMU/emu_userinterface_dir/python/emu_plot.py');\n",
    "# The following that uses a module go through the same menu-driven process s using runpy above, but \n",
    "# globals_dict is a dictionary, containing 'return_vars' and 'emu'.\n",
    "# return_vars' contains the data used to make the plot.\n",
    "# emu contains more variables that were used in ept.\n",
    "# globals_dict = ept.emu_plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2dc7ca28-daf2-4b59-a46e-a129fbf238ca",
   "metadata": {},
   "source": [
    "### Method 2: Argument-based Input"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4497b852-f6ec-42e1-a401-dbb3c930a75e",
   "metadata": {},
   "source": [
    "***To get help information, including the available arguments, uncomment `help(ept.emu_plot)`.***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cd317c61-36f3-4f03-995c-dcf8b15410d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# help(ept.emu_plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "28edc063-d7b2-40a3-84cf-2d3f0a403a87",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found file: /efs_ecco/ECCO/EMU/emu_userinterface_dir/emu_env.singularity\n",
      "EMU Input Files directory: /efs/owang/ECCO/EMU_test/emu_input_dir\n",
      "\n",
      "Specified directory of EMU run to examine: /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0\n",
      "\n",
      "Reading /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0\n",
      "\n",
      "Reading Tracer Tool output ... \n",
      "\n",
      "Detected     11 files of ptracer_mon_mean.*.data\n",
      "Detected     10 files of ptracer_mon_snap.*.data\n",
      "\n",
      "Averaging type (\"m\" for monthly or \"s\" for snapshot): m\n",
      "\n",
      "==> Reading and plotting monthly means ... \n",
      "Specified start and end files #: 0 and 1000000\n",
      "\n",
      "\n",
      "Reading file ... /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0/output/ptracer_mon_mean.0000001464.data\n",
      "\n",
      "Reading file ... /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0/output/ptracer_mon_mean.0000002196.data\n",
      "\n",
      "Reading file ... /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0/output/ptracer_mon_mean.0000002928.data\n",
      "\n",
      "Reading file ... /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0/output/ptracer_mon_mean.0000003660.data\n",
      "\n",
      "Reading file ... /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0/output/ptracer_mon_mean.0000004392.data\n",
      "\n",
      "Reading file ... /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0/output/ptracer_mon_mean.0000005124.data\n",
      "\n",
      "Reading file ... /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0/output/ptracer_mon_mean.0000005856.data\n",
      "\n",
      "Reading file ... /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0/output/ptracer_mon_mean.0000006588.data\n",
      "\n",
      "Reading file ... /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0/output/ptracer_mon_mean.0000007320.data\n",
      "\n",
      "Reading file ... /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0/output/ptracer_mon_mean.0000008052.data\n",
      "\n",
      "Reading file ... /efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0/output/ptracer_mon_mean.0000008748.data\n",
      "\n",
      "*********************************************\n",
      "Returning variable \n",
      "   return_vars_tmp, a dictionary with one item being\n",
      "   trc: last plotted tracer (3d) or time series of tracer (3d)\n",
      "\n",
      "\n",
      "***********************\n",
      "EMU variables read as global variables in module global_emu_var (emu); e.g., emu.nx\n",
      "***********************\n",
      "cs                  drc                 drf                 dvol3d              \n",
      "dxc                 dxg                 dyc                 dyg                 \n",
      "hfacc               hfacs               hfacw               nr                  \n",
      "nx                  ny                  rac                 ras                 \n",
      "raw                 raz                 rc                  rf                  \n",
      "sn                  trc3d               xc                  xg                  \n",
      "yc                  yg                  \n"
     ]
    }
   ],
   "source": [
    "# globals_dict is a dictionary, containing 'return_vars' and 'emu'.\n",
    "# return_vars' contains the data used to make the plot.\n",
    "# emu contains more variables that were used in ept.\n",
    "\n",
    "# Tracer Tool\n",
    "globals_dict = ept.emu_plot(run_name=\"/efs_ecco/owang/ECCO/EMU/tryout/emu_trc_35_365_trc3d.-170.0_-120.0_-5.0_5.0_10.0_0.0\",\n",
    "                            avg_type='m',\n",
    "                            pfile_beg=0, pfile_end=1000000)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b15be927-ee10-4785-9cbb-9c5dae23cd96",
   "metadata": {},
   "source": [
    "#### Example of Extracting Return Variables and Generating Plots"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6c32b55-e4c5-4824-b9f9-f6e8b9173f47",
   "metadata": {},
   "source": [
    "***Extract return variables***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f50b6f60-a327-4424-b716-42f8bd447e57",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Return variables used to make the plot\n",
    "return_vars_dict = globals_dict.get('return_vars')\n",
    "hfacc = globals_dict.get('emu').hfacc \n",
    "drf = globals_dict.get('emu').drf \n",
    "#  More variables used by ept\n",
    "# emu = globals_dict.get('return_vars')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4b7a6a86-531f-46f8-8bfc-6dc06990a3dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['trc', 'trc_unit', 'files', 'timesteps', 'gm_tracer_content', 'gm_tracer_content_unit'])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the keys in the dictionary\n",
    "return_vars_dict.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43e3f614-7383-46b2-bfd7-a827665bfc48",
   "metadata": {},
   "source": [
    "***Reproduce plots geneated by Method 1***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ad6e3df0-1ffc-48fd-a909-f19fa4f337b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extract Return Variables and Reproudce plot by Method 1\n",
    "import numpy as np\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "import lib_python\n",
    "import plot_adj\n",
    "\n",
    "trc_all = return_vars_dict['trc'] # 3d tracer content\n",
    "trc_all_vsum = np.sum(hfacc * np.expand_dims(drf, axis=(1,2)) * trc_all, axis=1)\n",
    "files = return_vars_dict['files']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c2149e6d-3924-4e4f-8755-3ed8e5fd1916",
   "metadata": {},
   "outputs": [],
   "source": [
    "# set some plotting parameters\n",
    "dscale = 0.1\n",
    "cmap = plt.cm.jet\n",
    "cmap.set_bad(color='gray')  # Set the color for masked elements to gray"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cda41663-2941-4f65-9972-9c5750a7a979",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Tracer at month 2\n",
    "plt.figure(figsize=(10,10))\n",
    "imon = 2\n",
    "\n",
    "fname=os.path.basename(files[imon-1])\n",
    "ftitle = f'{imon} {fname} scaled by x{dscale:.0e}'\n",
    "# Apply the scaling factor and mask out the land points\n",
    "masked_dumg = dscale*lib_python.nat2globe(trc_all_vsum[imon-1,:])\n",
    "dummskg = lib_python.nat2globe(hfacc[0])\n",
    "masked_dumg[dummskg==0]=np.nan\n",
    "\n",
    "plt.title(ftitle)        \n",
    "plt.imshow(masked_dumg, origin='lower',cmap=cmap, aspect='auto')\n",
    "plt.colorbar()  \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c440d85b-566e-48a1-92dd-10e2e6112adf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Tracer at month 5\n",
    "plt.figure(figsize=(10,10))\n",
    "imon = 5\n",
    "fname=os.path.basename(files[imon-1])\n",
    "ftitle = f'{imon} {fname} scaled by x{dscale:.0e}'\n",
    "# Apply the scaling factor and mask out the land points\n",
    "masked_dumg = dscale*lib_python.nat2globe(trc_all_vsum[imon-1,:])\n",
    "dummskg = lib_python.nat2globe(hfacc[0])\n",
    "masked_dumg[dummskg==0]=np.nan\n",
    "\n",
    "plt.title(ftitle)        \n",
    "plt.imshow(masked_dumg, origin='lower',cmap=cmap, aspect='auto')\n",
    "plt.colorbar()  \n",
    "plt.show()"
   ]
  }
 ],
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