{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "eastern-costume",
   "metadata": {},
   "source": [
    "# Test: subset HadGEM3-GC31-LL/ssp245\n",
    "\n",
    "* Project: c3s-cmip6\n",
    "* Variable: tas\n",
    "* Frequency: day\n",
    "* *Complete* files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "conditional-feelings",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ['ROOK_URL'] = 'http://rook.dkrz.de/wps'\n",
    "\n",
    "from rooki import operators as ops"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "graduate-roommate",
   "metadata": {},
   "outputs": [],
   "source": [
    "wf = ops.Subset(\n",
    "        ops.Input(\n",
    "            'cmip6', ['c3s-cmip6.ScenarioMIP.MOHC.HadGEM3-GC31-LL.ssp245.r1i1p1f3.day.tas.gn.v20190908']\n",
    "        ),\n",
    ")\n",
    "   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "usual-study",
   "metadata": {},
   "outputs": [],
   "source": [
    "resp = wf.orchestrate()\n",
    "assert resp.ok"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fossil-playing",
   "metadata": {},
   "outputs": [],
   "source": [
    "resp.download_urls()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "suitable-framework",
   "metadata": {},
   "outputs": [],
   "source": [
    "assert 'tas_day_HadGEM3-GC31-LL_ssp245_r1i1p1f3_gn_20150101-20491230.nc' in resp.download_urls()[0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aggregate-wedding",
   "metadata": {},
   "outputs": [],
   "source": [
    "assert 'https://data.mips.copernicus-climate.eu/thredds/fileServer/esg_c3s-cmip6' in resp.download_urls()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "elegant-direction",
   "metadata": {},
   "outputs": [],
   "source": [
    "assert resp.num_files == 2, resp.num_files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "italian-performer",
   "metadata": {},
   "outputs": [],
   "source": [
    "assert int(resp.size_in_mb) == 1684, resp.size_in_mb"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "coupled-external",
   "metadata": {},
   "source": [
    "Provenance: \n",
    "* expected duration=20 secs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "considerable-integrity",
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Image\n",
    "Image(resp.provenance_image())"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}