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   "source": [
    "## Writing GRIB to file-pattern target"
   ]
  },
  {
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   "execution_count": 1,
   "id": "b7db8543-3a37-4eaf-8729-261f46e3ca18",
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      "text/plain": [
       "tuv_pl.grib:   0%|          | 0.00/4.22k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# get input GRIB data\n",
    "import earthkit.data as ekd\n",
    "ds = ekd.from_source(\"sample\", \"tuv_pl.grib\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "831ff134-cced-4d13-b048-fa7b9efc5007",
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   "source": [
    "#### Using to_target() on the data object"
   ]
  },
  {
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   "source": [
    "We use :func:`to_target` to write the GRIB fieldlist/field with a :ref:`targets-file-pattern`to disc. The encoder is automatically guessed from the input data. We use the following output file name pattern:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fb4dbcc1-487c-48d9-b5fb-6760af2242b5",
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   "source": [
    "# for each shortName-level combination a separate output file will be created\n",
    "out_pattern = \"_res_pattern_{shortName}_{level}.grib\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "01d115db-17f0-456a-afc5-ea81367d18b5",
   "metadata": {
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>centre</th>\n",
       "      <th>shortName</th>\n",
       "      <th>typeOfLevel</th>\n",
       "      <th>level</th>\n",
       "      <th>dataDate</th>\n",
       "      <th>dataTime</th>\n",
       "      <th>stepRange</th>\n",
       "      <th>dataType</th>\n",
       "      <th>number</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ecmf</td>\n",
       "      <td>t</td>\n",
       "      <td>isobaricInhPa</td>\n",
       "      <td>850</td>\n",
       "      <td>20180801</td>\n",
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      "text/plain": [
       "  centre shortName    typeOfLevel  level  dataDate  dataTime stepRange  \\\n",
       "0   ecmf         t  isobaricInhPa    850  20180801      1200         0   \n",
       "\n",
       "  dataType  number    gridType  \n",
       "0       an       0  regular_ll  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
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    }
   ],
   "source": [
    "# writing only temperature fields\n",
    "ds.sel(param=\"t\").to_target(\"file-pattern\", out_pattern)\n",
    "\n",
    "# writing a whole fieldlist\n",
    "ds.to_target(\"file-pattern\", out_pattern)\n",
    "\n",
    "# checking one output file\n",
    "ekd.from_source(\"file\", \"_res_pattern_t_850.grib\").ls()"
   ]
  },
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       "      <th>shortName</th>\n",
       "      <th>typeOfLevel</th>\n",
       "      <th>level</th>\n",
       "      <th>dataDate</th>\n",
       "      <th>dataTime</th>\n",
       "      <th>stepRange</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ecmf</td>\n",
       "      <td>t</td>\n",
       "      <td>isobaricInhPa</td>\n",
       "      <td>850</td>\n",
       "      <td>20250108</td>\n",
       "      <td>1200</td>\n",
       "      <td>0</td>\n",
       "      <td>an</td>\n",
       "      <td>0</td>\n",
       "      <td>regular_ll</td>\n",
       "      <td>8</td>\n",
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      "text/plain": [
       "  centre shortName    typeOfLevel  level  dataDate  dataTime stepRange  \\\n",
       "0   ecmf         t  isobaricInhPa    850  20250108      1200         0   \n",
       "\n",
       "  dataType  number    gridType  bitsPerValue  \n",
       "0       an       0  regular_ll             8  "
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     "execution_count": 4,
     "metadata": {},
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   ],
   "source": [
    "# setting GRIB keys for the output\n",
    "ds.to_target(\"file-pattern\", out_pattern, metadata={\"date\": 20250108}, bitsPerValue=8)\n",
    "\n",
    "# checking one output file\n",
    "ekd.from_source(\"file\", \"_res_pattern_t_850.grib\").ls(extra_keys=[\"bitsPerValue\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "211ac929-3464-4165-a2a3-d8fb4903a7e3",
   "metadata": {
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   "source": [
    "#### Using a Target object"
   ]
  },
  {
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   "source": [
    "We can create a target object with :func:`get_target` and use :meth:`write` to write/add data to it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "47cef925-6caf-4cee-bec0-e4467db510f0",
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   "source": [
    "# basic usage\n",
    "target = ekd.create_target(\"file-pattern\", out_pattern)\n",
    "target.write(ds)\n",
    "target.close()\n",
    "\n",
    "# can be used as a context manager, no need to call close() in the end\n",
    "with ekd.create_target(\"file-pattern\", out_pattern) as target:\n",
    "    target.write(ds)\n",
    "\n",
    "# a fieldlist can be written field by field into the target\n",
    "with ekd.create_target(\"file-pattern\", out_pattern) as target:\n",
    "    for f in ds:\n",
    "        target.write(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c4ce913-461a-4d3b-89ae-7feace1157a9",
   "metadata": {
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    "tags": []
   },
   "source": [
    "#### Using encoders"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2aa6644d-1c90-4550-a88f-af2ee0d6b909",
   "metadata": {
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   "source": [
    "These calls are equivalent."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a86840f7-4b99-4ab6-911d-60726d771a31",
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   "source": [
    "# setting metadata and other GRIB keys for the output\n",
    "ds.to_target(\"file-pattern\", out_pattern, metadata={\"date\": 20250108}, bitsPerValue=8)\n",
    "\n",
    "# explicitly specifying the encoder\n",
    "ds.to_target(\"file-pattern\", out_pattern, encoder=\"grib\", metadata={\"date\": 20250108}, bitsPerValue=8)\n",
    "\n",
    "# using an encoder object\n",
    "encoder = ekd.create_encoder(\"grib\", metadata={\"date\": 20250108})\n",
    "ds.to_target(\"file-pattern\", out_pattern, encoder=encoder,  bitsPerValue=8)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "176b71c1-9830-4f4e-af75-6857467308bb",
   "metadata": {
    "editable": true,
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    },
    "tags": []
   },
   "source": [
    "The same can be done with a target object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "310476ce-9d73-4624-a933-2df468586a23",
   "metadata": {
    "editable": true,
    "slideshow": {
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    },
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   },
   "outputs": [],
   "source": [
    "encoder = ekd.create_encoder(\"grib\", metadata={\"date\": 20250108})\n",
    "with ekd.create_target(\"file-pattern\", out_pattern) as target:\n",
    "    target.write(ds, encoder=encoder,  bitsPerValue=8)"
   ]
  }
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