{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ⌚ Herbie Latest\n",
    "\n",
    "A little helper to get the most recent model data. (Not super efficient, but it works).\n",
    "\n",
    "> ## WARNING: This is deprecated in favor of `HerbieLatest`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from herbie import Herbie, Herbie_latest, FastHerbie\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Could not find 1/6 GRIB files.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.04 s, sys: 274 ms, total: 1.31 s\n",
      "Wall time: 5.62 s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "\u001b[48;2;255;255;255m\u001b[38;2;136;33;27m▌\u001b[0m\u001b[38;2;12;53;118m\u001b[48;2;240;234;210m▌\u001b[38;2;0;0;0m\u001b[1mHerbie\u001b[0m HRRR model \u001b[3msfc\u001b[0m product initialized \u001b[38;2;41;130;13m2024-Jan-19 04:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "H = Herbie_latest()\n",
    "H"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[48;2;255;255;255m\u001b[38;2;136;33;27m▌\u001b[0m\u001b[38;2;12;53;118m\u001b[48;2;240;234;210m▌\u001b[38;2;0;0;0m\u001b[1mHerbie\u001b[0m GFS model \u001b[3mpgrb2.0p25\u001b[0m product initialized \u001b[38;2;41;130;13m2022-Dec-10 18:00 UTC\u001b[92m F06\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H = Herbie_latest(model=\"gfs\", n=6, freq=\"6H\", fxx=[6])\n",
    "H"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Latest with a loop\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from herbie import Herbie\n",
    "import pandas as pd\n",
    "\n",
    "# Create a list of dates to try\n",
    "dates = pd.date_range(\n",
    "    pd.Timestamp.utcnow().floor(\"1h\").tz_localize(None), periods=6, freq=\"-1H\"\n",
    ")\n",
    "\n",
    "# Find first existing Herbie object\n",
    "for i in dates:\n",
    "    H = Herbie(i, model=\"hrrr\", priority=[\"aws\", \"nomads\"])\n",
    "    if H.grib:\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DatetimeIndex(['2024-01-19 05:00:00', '2024-01-19 04:00:00',\n",
      "               '2024-01-19 03:00:00', '2024-01-19 02:00:00',\n",
      "               '2024-01-19 01:00:00', '2024-01-19 00:00:00'],\n",
      "              dtype='datetime64[ns]', freq='-1H')\n"
     ]
    }
   ],
   "source": [
    "print(dates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2024-01-19 05:00:00', '2024-01-19 04:00:00',\n",
       "               '2024-01-19 03:00:00', '2024-01-19 02:00:00',\n",
       "               '2024-01-19 01:00:00', '2024-01-19 00:00:00'],\n",
       "              dtype='datetime64[ns]', freq='-1H')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Create a list of dates to try\n",
    "dates = pd.date_range(\n",
    "    pd.Timestamp.utcnow().floor(\"1h\").tz_localize(None), periods=6, freq=\"-1H\"\n",
    ")\n",
    "dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "💔 Did not find ┊ model=hrrr ┊ \u001b[3mproduct=sfc\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Jan-19 05:00 UTC\u001b[92m F00\u001b[0m\n",
      "✅ Found ┊ model=hrrr ┊ \u001b[3mproduct=sfc\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Jan-19 04:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n",
      "CPU times: user 159 ms, sys: 24 ms, total: 182 ms\n",
      "Wall time: 2.09 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "for i in dates:\n",
    "    H = Herbie(i, model=\"hrrr\", priority=[\"aws\", \"nomads\"])\n",
    "    if H.grib:\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[48;2;255;255;255m\u001b[38;2;136;33;27m▌\u001b[0m\u001b[38;2;12;53;118m\u001b[48;2;240;234;210m▌\u001b[38;2;0;0;0m\u001b[1mHerbie\u001b[0m HRRR model \u001b[3msfc\u001b[0m product initialized \u001b[38;2;41;130;13m2024-Jan-19 04:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Most recent GFS (loop)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DatetimeIndex(['2024-01-19 00:00:00', '2024-01-18 18:00:00',\n",
      "               '2024-01-18 12:00:00', '2024-01-18 06:00:00'],\n",
      "              dtype='datetime64[ns]', freq='-6H')\n",
      "✅ Found ┊ model=gfs ┊ \u001b[3mproduct=pgrb2.0p25\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Jan-19 00:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n",
      "CPU times: user 97 ms, sys: 12.3 ms, total: 109 ms\n",
      "Wall time: 848 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "from herbie import Herbie\n",
    "import pandas as pd\n",
    "\n",
    "# Create a list of dates to try. GFS runs every 6 hours\n",
    "dates = pd.date_range(\n",
    "    pd.Timestamp.utcnow().floor(\"6h\").tz_localize(None), periods=4, freq=\"-6H\"\n",
    ")\n",
    "\n",
    "print(dates)\n",
    "\n",
    "# Find first existing Herbie object\n",
    "for i in dates:\n",
    "    H = Herbie(i, model=\"gfs\", priority=[\"aws\", \"nomads\"])\n",
    "    if H.grib:\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DatetimeIndex(['2024-01-19 05:00:00', '2024-01-19 04:00:00',\n",
      "               '2024-01-19 03:00:00', '2024-01-19 02:00:00',\n",
      "               '2024-01-19 01:00:00', '2024-01-19 00:00:00',\n",
      "               '2024-01-18 23:00:00', '2024-01-18 22:00:00',\n",
      "               '2024-01-18 21:00:00', '2024-01-18 20:00:00',\n",
      "               '2024-01-18 19:00:00', '2024-01-18 18:00:00'],\n",
      "              dtype='datetime64[ns]', freq='-1H')\n",
      "💔 Did not find ┊ model=gfs ┊ \u001b[3mproduct=pgrb2.0p25\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Jan-19 05:00 UTC\u001b[92m F00\u001b[0m\n",
      "💔 Did not find ┊ model=gfs ┊ \u001b[3mproduct=pgrb2.0p25\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Jan-19 04:00 UTC\u001b[92m F00\u001b[0m\n",
      "💔 Did not find ┊ model=gfs ┊ \u001b[3mproduct=pgrb2.0p25\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Jan-19 03:00 UTC\u001b[92m F00\u001b[0m\n",
      "💔 Did not find ┊ model=gfs ┊ \u001b[3mproduct=pgrb2.0p25\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Jan-19 02:00 UTC\u001b[92m F00\u001b[0m\n",
      "💔 Did not find ┊ model=gfs ┊ \u001b[3mproduct=pgrb2.0p25\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Jan-19 01:00 UTC\u001b[92m F00\u001b[0m\n",
      "✅ Found ┊ model=gfs ┊ \u001b[3mproduct=pgrb2.0p25\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Jan-19 00:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n",
      "CPU times: user 638 ms, sys: 54.9 ms, total: 693 ms\n",
      "Wall time: 7.6 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "from herbie import Herbie\n",
    "import pandas as pd\n",
    "\n",
    "# Create a list of dates to try. GFS runs every 6 hours\n",
    "dates = pd.date_range(\n",
    "    pd.Timestamp.utcnow().floor(\"1h\").tz_localize(None), periods=12, freq=\"-1H\"\n",
    ")\n",
    "\n",
    "print(dates)\n",
    "\n",
    "# Find first existing Herbie object\n",
    "for i in dates:\n",
    "    H = Herbie(i, model=\"gfs\", priority=[\"aws\", \"nomads\"])\n",
    "    if H.grib:\n",
    "        break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Wait for specific time\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "\n",
    "time.sleep(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Found ┊ model=hrrr ┊ \u001b[3mproduct=sfc\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Jan-19 05:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "now = pd.Timestamp.utcnow().floor(\"1h\").tz_localize(None)\n",
    "attempts = 0\n",
    "H = Herbie(now, model=\"hrrr\", priority=[\"aws\", \"nomads\"])\n",
    "while H.grib is None:\n",
    "    # Try to find file again\n",
    "    H = Herbie(now, model=\"hrrr\", priority=[\"aws\", \"nomads\"])\n",
    "\n",
    "    # Wait 5 seconds\n",
    "    time.sleep(5)\n",
    "    attempts += 1\n",
    "    print(f\"{attempts=}\")"
   ]
  }
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