{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Run subset by (time) point operation\n",
    "\n",
    "**Rooki** calls climate data operations on the **rook** processing service."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ['ROOK_URL'] = 'http://rook.dkrz.de/wps'\n",
    "\n",
    "from rooki import rooki"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**parameters of subset operation**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rooki.subset?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## subset by time interval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "resp = rooki.subset(\n",
    "    collection='c3s-cmip6.ScenarioMIP.INM.INM-CM5-0.ssp245.r1i1p1f1.day.tas.gr1.v20190619',\n",
    "    time='2016-01-01/2016-12-30',\n",
    ")\n",
    "resp.ok"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = resp.datasets()[0]\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Image\n",
    "Image(resp.provenance_image())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## subset by time series\n",
    "\n",
    "Use *exact* time points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "resp = rooki.subset(\n",
    "    collection='c3s-cmip6.ScenarioMIP.INM.INM-CM5-0.ssp245.r1i1p1f1.day.tas.gr1.v20190619',\n",
    "    time='2016-01-01T12:00:00, 2016-02-01T12:00:00, 2016-03-01T12:00:00',\n",
    ")\n",
    "resp.ok"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = resp.datasets()[0]\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Image\n",
    "Image(resp.provenance_image())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## subset by time components\n",
    "\n",
    "TODO: use `time` parameter for pre-selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "resp = rooki.subset(\n",
    "    collection='c3s-cmip6.ScenarioMIP.INM.INM-CM5-0.ssp245.r1i1p1f1.day.tas.gr1.v20190619',\n",
    "    time='2016/2020',\n",
    "    time_components='year:2016,2017|month:jan,feb,mar|day:01',\n",
    ")\n",
    "resp.ok"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = resp.datasets()[0]\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Image\n",
    "Image(resp.provenance_image())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## use workflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from rooki import operators as ops"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "wf = ops.Subset(\n",
    "        ops.Input(\n",
    "            'tas', ['c3s-cmip6.ScenarioMIP.INM.INM-CM5-0.ssp245.r1i1p1f1.day.tas.gr1.v20190619']\n",
    "        ),\n",
    "        time=\"2016/2020\",\n",
    "        time_components=\"month:jan,feb,mar|day:01\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "resp = wf.orchestrate()\n",
    "resp.ok"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = resp.datasets()[0]\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Image\n",
    "Image(resp.provenance_image())"
   ]
  }
 ],
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