{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os          \n",
    "import time       \n",
    "import glob     \n",
    "import numpy as np                                                                                 \n",
    "\n",
    "import xarray as xr\n",
    " \n",
    "os.environ['ROOK_URL'] = 'http://rook.dkrz.de/wps' \n",
    "# os.environ['ROOK_URL'] = 'http://localhost:5000/wps' \n",
    "from rooki import rooki                                                                                         \n",
    "import rooki.operators as ops  \n",
    "rooki.url"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def time_it(func, *args, **kwargs):\n",
    "    s = time.time()\n",
    "\n",
    "    print(f'[INFO] Running: {func.__name__} with {args}, {kwargs}')\n",
    "    resp = func(*args, **kwargs)\n",
    "\n",
    "    e = time.time()\n",
    "    print(f'[INFO] Call to {func.__name__} with {args}, {kwargs}')\n",
    "    print(f'       took: {e-s:.2f} seconds') \n",
    "\n",
    "    return resp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def _check_response(resp, var_id=None, maximum=None):\n",
    "    assert resp.size > 100\n",
    "    ds = resp.datasets()[0]\n",
    "    assert isinstance(ds, xr.Dataset)\n",
    "\n",
    "    if var_id and maximum:\n",
    "        mx = float(ds[var_id].max())\n",
    "        # assert np.isclose(mx, maximum)\n",
    "        if not np.isclose(mx, maximum):\n",
    "            print(f\"[Warning] max={mx}, expected={maximum}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def test_workflow_subset_time_time_c3s_cmip5_small_method1():\n",
    "    wf = ops.Subset(\n",
    "        ops.Subset(\n",
    "            ops.Input(\n",
    "                'tas', ['c3s-cmip5.output1.ICHEC.EC-EARTH.historical.day.atmos.day.r1i1p1.tas.latest']\n",
    "            ),\n",
    "            time=\"1867-01-01/1867-12-30\",\n",
    "        ),\n",
    "        time=\"1867-04-01/1867-06-30\",\n",
    "    )\n",
    "                                                 \n",
    "    resp = wf.orchestrate()\n",
    "    _check_response(resp, 'tas', 313.928)\n",
    "\n",
    "\n",
    "time_it(test_workflow_subset_time_time_c3s_cmip5_small_method1)\n",
    "# Took (s):\n",
    "# CEDA SLURM: 55, 51, 46, 46, 40, 45, 39\n",
    "# DKRZ VM: 78, 180"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def test_workflow_subset_time_time_c3s_cmip5_small_method2():\n",
    "    wf = ops.Input('tas', ['c3s-cmip5.output1.ICHEC.EC-EARTH.historical.day.atmos.day.r1i1p1.tas.latest'])\n",
    "    wf = ops.Subset(wf, time='1867-01-01/1867-12-30')                         \n",
    "    wf = ops.Subset(wf, time='1867-04-01/1867-06-30')\n",
    "                                                 \n",
    "    resp = wf.orchestrate()\n",
    "    _check_response(resp, 'tas', 313.928)\n",
    "\n",
    "time_it(test_workflow_subset_time_time_c3s_cmip5_small_method2)\n",
    "# Took (s):\n",
    "# CEDA: 46, 48\n",
    "# DKRZ: 115, 130"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def test_workflow_subset_time_time_c3s_cmip5_large():\n",
    "    wf = ops.Subset(\n",
    "        ops.Subset(\n",
    "            ops.Input(\n",
    "                'tas', ['c3s-cmip5.output1.ICHEC.EC-EARTH.historical.day.atmos.day.r1i1p1.tas.latest']\n",
    "            ),\n",
    "            time=\"1850-01-01/1861-12-30\",\n",
    "        ),\n",
    "        time=\"1861-01-01/1861-02-15\",\n",
    "    )\n",
    "\n",
    "    resp = wf.orchestrate()\n",
    "    _check_response(resp, 'tas', 310.861)\n",
    "\n",
    "time_it(test_workflow_subset_time_time_c3s_cmip5_large)\n",
    "# Took (s):\n",
    "# CEDA:\n",
    "# DKRZ: 88, 93, 91"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Clean up if needed**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cleanup_tmpdir():\n",
    "    for dr in glob.glob('/tmp/tmp*'):\n",
    "\n",
    "        try:\n",
    "            os.removedirs(dr)\n",
    "            print(f'REMOVED tmpdir: {dr}')\n",
    "        except:\n",
    "            pass # did not delete content owned by others\n",
    "\n",
    "\n",
    "# cleanup_tmpdir()"
   ]
  }
 ],
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