{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Add Calculated Fields"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overview\n",
    "In this lesson we will clone a small example TEEHR Evaluation from S3 and work through the different ways to add calculated fields to the joined_timeseries table, save them to the joined_timeseries table on disk to persist them, or add them temporarily before calculating metrics.  The first few steps for creating and cloning the TEEHR Evaluation should look familiar if you worked through the previous examples."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create a new Evaluation\n",
    "First we will import TEEHR along with some other required libraries for this example.  Then we create a new instance of the Evaluation that points to a directory where the evaluation data will be stored."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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      "application/vnd.bokehjs_load.v0+json": ""
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import teehr\n",
    "from pathlib import Path\n",
    "import shutil\n",
    "\n",
    "# Tell Bokeh to output plots in the notebook\n",
    "from bokeh.io import output_notebook\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Setting default log level to \"WARN\".\n",
      "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n",
      "25/01/06 16:53:18 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\n"
     ]
    }
   ],
   "source": [
    "# Define the directory where the Evaluation will be created\n",
    "test_eval_dir = Path(Path().home(), \"temp\", \"08_calculated_fields\")\n",
    "shutil.rmtree(test_eval_dir, ignore_errors=True)\n",
    "\n",
    "# Create an Evaluation object and create the directory\n",
    "ev = teehr.Evaluation(dir_path=test_eval_dir, create_dir=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Clone Evaluation Data form S3\n",
    "As mentioned above, for this exercise we will be cloning a complete Evaluation dataset from the TEEHR S3 bucket.  First we will list the available Evaluations and then we will clone the `e0_2_location_example` evaluation which is  a small example Evaluation that only contains 2 gages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "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",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>e0_2_location_example</td>\n",
       "      <td>Example evaluation datsets with 2 USGS gages</td>\n",
       "      <td>s3a://ciroh-rti-public-data/teehr-data-warehou...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>e1_camels_daily_streamflow</td>\n",
       "      <td>Daily average streamflow at ther Camels basins</td>\n",
       "      <td>s3a://ciroh-rti-public-data/teehr-data-warehou...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>e2_camels_hourly_streamflow</td>\n",
       "      <td>Hourly instantaneous streamflow at ther Camels...</td>\n",
       "      <td>s3a://ciroh-rti-public-data/teehr-data-warehou...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>e3_usgs_hourly_streamflow</td>\n",
       "      <td>Hourly instantaneous streamflow at USGS CONUS ...</td>\n",
       "      <td>s3a://ciroh-rti-public-data/teehr-data-warehou...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          name  \\\n",
       "0        e0_2_location_example   \n",
       "1   e1_camels_daily_streamflow   \n",
       "2  e2_camels_hourly_streamflow   \n",
       "3    e3_usgs_hourly_streamflow   \n",
       "\n",
       "                                         description  \\\n",
       "0       Example evaluation datsets with 2 USGS gages   \n",
       "1     Daily average streamflow at ther Camels basins   \n",
       "2  Hourly instantaneous streamflow at ther Camels...   \n",
       "3  Hourly instantaneous streamflow at USGS CONUS ...   \n",
       "\n",
       "                                                 url  \n",
       "0  s3a://ciroh-rti-public-data/teehr-data-warehou...  \n",
       "1  s3a://ciroh-rti-public-data/teehr-data-warehou...  \n",
       "2  s3a://ciroh-rti-public-data/teehr-data-warehou...  \n",
       "3  s3a://ciroh-rti-public-data/teehr-data-warehou...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# List the evaluations in the S3 bucket\n",
    "ev.list_s3_evaluations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "25/01/06 16:53:21 WARN MetricsConfig: Cannot locate configuration: tried hadoop-metrics2-s3a-file-system.properties,hadoop-metrics2.properties\n",
      "25/01/06 16:53:35 WARN SparkStringUtils: Truncated the string representation of a plan since it was too large. This behavior can be adjusted by setting 'spark.sql.debug.maxToStringFields'.\n",
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "# Clone the e0_2_location_example evaluation from the S3 bucket\n",
    "ev.clone_from_s3(\"e0_2_location_example\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add Calculated Fields to Joined Timeseries"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we will get right to it.  Lets start by re-creating the `joined_timeseries` table and setting the `add_attrs=False` and `execute_udf=False` so that we get just the basic `joined_timeseries` table that joins the primary and secondary timeseries but does not add attributes or user defined fields. This step is not strictly necessary but makes it a bit easier to follow what we are doing in the subsequent steps.  Lets take a look at the `joined_timeseries` table and see what fields are included."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------+-------------------+-------------------+---------------------+-------------+---------------+---------+------+-------------------+--------------------+\n",
      "|reference_time|         value_time|primary_location_id|secondary_location_id|primary_value|secondary_value|unit_name|member| configuration_name|       variable_name|\n",
      "+--------------+-------------------+-------------------+---------------------+-------------+---------------+---------+------+-------------------+--------------------+\n",
      "|          NULL|2000-10-01 00:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 00:00:00|      usgs-14138800|       nwm30-23736071|    3.3413877|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 01:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 01:00:00|      usgs-14138800|       nwm30-23736071|    3.9926753|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 02:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 02:00:00|      usgs-14138800|       nwm30-23736071|     4.445745|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 03:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 03:00:00|      usgs-14138800|       nwm30-23736071|     5.408518|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 04:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 04:00:00|      usgs-14138800|       nwm30-23736071|    5.6067357|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 05:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 05:00:00|      usgs-14138800|       nwm30-23736071|     5.153666|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 06:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 06:00:00|      usgs-14138800|       nwm30-23736071|    4.5590124|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 07:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 07:00:00|      usgs-14138800|       nwm30-23736071|    5.2952504|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 08:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 08:00:00|      usgs-14138800|       nwm30-23736071|     7.730499|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 09:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 09:00:00|      usgs-14138800|       nwm30-23736071|     9.825946|           0.07|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "+--------------+-------------------+-------------------+---------------------+-------------+---------------+---------+------+-------------------+--------------------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ev.joined_timeseries.create(add_attrs=False, execute_scripts=False)\n",
    "ev.joined_timeseries.to_sdf().show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ok, so, as shown, the `joined_timeseries` table now only contains the basic fields required without any attributes or user defined fields. Now lets add some fields to the `joined_timeseries` table using the TEEHR calculated fields.  Adding fields can be useful for grouping and filtering operations.  The TEEHR calculated fields (CF) allow for row level and timeseries aware CFs:\n",
    "\n",
    "* Row level CFs are applied to each row in the table based on data that is in one or more existing fields.  These are applied per row and are not aware of the data in any other row (e.g., are not aware of any other timeseries values in a \"timeseries\").  This can be used for adding fields such as a field based on the data/time (e.g., month, year, season, etc.) or based on the value field (e.g., normalized flow, log flow, etc.) and many other uses.\n",
    "* Timeseries aware CFs are aware of ordered groups of data (e.g., a timeseries).  This is useful for things such as event detection, base flow separation, and other fields that need to be calculated based on a entire collection of timeseries values.  The definition of what creates a unique set of timeseries (i.e., a timeseries) can be specified.\n",
    "\n",
    "There are two ways that these CFs can be used:  \n",
    "\n",
    "* First, they can be used to add the CF to the `joined_timeseries` which can then be persisted by writing to disk. This is useful if the calculation is expected to be needed for multiple different metric calculations.\n",
    "* Second, they can be used as a pre-processing step in the calculation of metrics.\n",
    "\n",
    "These use cases will be demonstrated below.  First we will import the CF classes.  Normally this would be done at the top of the page, but is done here for demonstration purposes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# first we need to import the UDF classes\n",
    "from teehr import RowLevelCalculatedFields as rcf\n",
    "from teehr import TimeseriesAwareCalculatedFields as tcf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Available Calculated Fields\n",
    "There are a number of calculated field classes that are included in the TEEHR package.  They are:\n",
    "\n",
    "Row Level Calculated Fields:\n",
    "- Month\n",
    "- Year\n",
    "- WaterYear\n",
    "- NormalizedFlow\n",
    "- Seasons\n",
    "- ForecastLeadTime\n",
    "- ThresholdValueExceeded\n",
    "- DayOfYear\n",
    "\n",
    "Timeseries Aware Calculated Fields.\n",
    "- PercentileEventDetection\n",
    "\n",
    "There will be more added over time.  If there is one you are particularly interested in, please reach out and let us know."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add Calculated Field in Memory\n",
    "Now we will use the Row level CFs to add year, month, water year and season to the `joined_timeseries` table in memory, using the `add_udf_columns()` method on the `joined_timeseries` table, but will not save it to disk yet.  Adding the UDFs and displaying the table shows that the new fields were added."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 73:>                                                         (0 + 1) / 1]\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------+-------------------+-------------------+---------------------+-------------+---------------+---------+------+-------------------+--------------------+-----+----+----------+------+\n",
      "|reference_time|         value_time|primary_location_id|secondary_location_id|primary_value|secondary_value|unit_name|member| configuration_name|       variable_name|month|year|water_year|season|\n",
      "+--------------+-------------------+-------------------+---------------------+-------------+---------------+---------+------+-------------------+--------------------+-----+----+----------+------+\n",
      "|          NULL|2000-10-01 00:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 00:00:00|      usgs-14138800|       nwm30-23736071|    3.3413877|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 01:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 01:00:00|      usgs-14138800|       nwm30-23736071|    3.9926753|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 02:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 02:00:00|      usgs-14138800|       nwm30-23736071|     4.445745|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 03:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 03:00:00|      usgs-14138800|       nwm30-23736071|     5.408518|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 04:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 04:00:00|      usgs-14138800|       nwm30-23736071|    5.6067357|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 05:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 05:00:00|      usgs-14138800|       nwm30-23736071|     5.153666|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 06:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 06:00:00|      usgs-14138800|       nwm30-23736071|    4.5590124|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 07:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 07:00:00|      usgs-14138800|       nwm30-23736071|    5.2952504|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 08:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 08:00:00|      usgs-14138800|       nwm30-23736071|     7.730499|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 09:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "|          NULL|2000-10-01 09:00:00|      usgs-14138800|       nwm30-23736071|     9.825946|           0.07|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|   10|2000|      2001|  fall|\n",
      "+--------------+-------------------+-------------------+---------------------+-------------+---------------+---------+------+-------------------+--------------------+-----+----+----------+------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "sdf = ev.joined_timeseries.add_calculated_fields([\n",
    "    rcf.Month(),\n",
    "    rcf.Year(),\n",
    "    rcf.WaterYear(),\n",
    "    rcf.Seasons()\n",
    "]).to_sdf()\n",
    "sdf.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, if we query the table again, we can see that the additional fields are not there.  This is because we did not write the table with the additional fields to disk."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------+-------------------+-------------------+---------------------+-------------+---------------+---------+------+-------------------+--------------------+\n",
      "|reference_time|         value_time|primary_location_id|secondary_location_id|primary_value|secondary_value|unit_name|member| configuration_name|       variable_name|\n",
      "+--------------+-------------------+-------------------+---------------------+-------------+---------------+---------+------+-------------------+--------------------+\n",
      "|          NULL|2000-10-01 00:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 00:00:00|      usgs-14138800|       nwm30-23736071|    3.3413877|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 01:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 01:00:00|      usgs-14138800|       nwm30-23736071|    3.9926753|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 02:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 02:00:00|      usgs-14138800|       nwm30-23736071|     4.445745|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 03:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 03:00:00|      usgs-14138800|       nwm30-23736071|     5.408518|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 04:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 04:00:00|      usgs-14138800|       nwm30-23736071|    5.6067357|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 05:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 05:00:00|      usgs-14138800|       nwm30-23736071|     5.153666|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 06:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 06:00:00|      usgs-14138800|       nwm30-23736071|    4.5590124|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 07:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 07:00:00|      usgs-14138800|       nwm30-23736071|    5.2952504|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 08:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 08:00:00|      usgs-14138800|       nwm30-23736071|     7.730499|           0.06|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 09:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 09:00:00|      usgs-14138800|       nwm30-23736071|     9.825946|           0.07|    m^3/s|  NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "+--------------+-------------------+-------------------+---------------------+-------------+---------------+---------+------+-------------------+--------------------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mdenno/.pyenv/versions/3.10.15/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 1 leaked semaphore objects to clean up at shutdown\n",
      "  warnings.warn('resource_tracker: There appear to be %d '\n"
     ]
    }
   ],
   "source": [
    "ev.joined_timeseries.to_sdf().show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add Calculated Field and Persist\n",
    "Now we will add the UDFs again, but this time we will write the table with the additional fields to disk so they are persisted."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "ev.joined_timeseries.add_calculated_fields([\n",
    "    rcf.Month(),\n",
    "    rcf.Year(),\n",
    "    rcf.WaterYear(),\n",
    "    rcf.Seasons()\n",
    "]).write()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And query the table again.  This time we can see that the new fields we added are there as they were written to disk and are now part of the `joined_timeseries` table on disk."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------+-------------------+-------------------+---------------------+-------------+---------------+---------+------+-----+----+----------+------+-------------------+--------------------+\n",
      "|reference_time|         value_time|primary_location_id|secondary_location_id|primary_value|secondary_value|unit_name|member|month|year|water_year|season| configuration_name|       variable_name|\n",
      "+--------------+-------------------+-------------------+---------------------+-------------+---------------+---------+------+-----+----+----------+------+-------------------+--------------------+\n",
      "|          NULL|2000-10-01 00:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 00:00:00|      usgs-14138800|       nwm30-23736071|    3.3413877|           0.06|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 01:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 01:00:00|      usgs-14138800|       nwm30-23736071|    3.9926753|           0.06|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 02:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 02:00:00|      usgs-14138800|       nwm30-23736071|     4.445745|           0.06|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 03:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 03:00:00|      usgs-14138800|       nwm30-23736071|     5.408518|           0.06|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 04:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 04:00:00|      usgs-14138800|       nwm30-23736071|    5.6067357|           0.06|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 05:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 05:00:00|      usgs-14138800|       nwm30-23736071|     5.153666|           0.06|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 06:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 06:00:00|      usgs-14138800|       nwm30-23736071|    4.5590124|           0.06|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 07:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 07:00:00|      usgs-14138800|       nwm30-23736071|    5.2952504|           0.06|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 08:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 08:00:00|      usgs-14138800|       nwm30-23736071|     7.730499|           0.06|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 09:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 09:00:00|      usgs-14138800|       nwm30-23736071|     9.825946|           0.07|    m^3/s|  NULL|   10|2000|      2001|  fall|nwm30_retrospective|streamflow_hourly...|\n",
      "+--------------+-------------------+-------------------+---------------------+-------------+---------------+---------+------+-----+----+----------+------+-------------------+--------------------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ev.joined_timeseries.to_sdf().show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Timeseries Aware Calculated Fields\n",
    "The timeseries aware calculated fields behave the same way from the users perspective, but behind the scenes are performing some extra grouping and sorting to ensure that the field is calculated based on an ordered group of timeseries values (i.e., a \"timeseries\").  This is necessary for doing things like event detection, but comes at a computational cost, so use with care, especially on large datasets.  Lets try it.  This time we will jump right to writing the resulting data frame back to disk to persist it, but you could add the field and display the results without persisting as we did above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "ev.joined_timeseries.add_calculated_fields([\n",
    "    tcf.PercentileEventDetection()\n",
    "]).write()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And query the `joined_timeseries` table to see the new `event` and `event_id` fields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------+-------------------+-------------------+---------------------+-------------+---------------+---------+------+-----+----+----------+------+-----+--------+-------------------+--------------------+\n",
      "|reference_time|         value_time|primary_location_id|secondary_location_id|primary_value|secondary_value|unit_name|member|month|year|water_year|season|event|event_id| configuration_name|       variable_name|\n",
      "+--------------+-------------------+-------------------+---------------------+-------------+---------------+---------+------+-----+----+----------+------+-----+--------+-------------------+--------------------+\n",
      "|          NULL|2000-10-01 00:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 01:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 02:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 03:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 04:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 05:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 06:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 07:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 08:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 09:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 10:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 11:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 12:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 13:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 14:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 15:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 16:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 17:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 18:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "|          NULL|2000-10-01 19:00:00|      usgs-14316700|       nwm30-23894572|    1.1326739|           0.38|    m^3/s|  NULL|   10|2000|      2001|  fall|false|    NULL|nwm30_retrospective|streamflow_hourly...|\n",
      "+--------------+-------------------+-------------------+---------------------+-------------+---------------+---------+------+-----+----+----------+------+-----+--------+-------------------+--------------------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ev.joined_timeseries.to_sdf().show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the table above you can see the `event` and `event_id` fields, but it is a bit difficult to see what was done based on the table alone.  Lets create a plot to see what the new fields mean.  In the next few cells we will query the `joined_timeseries` table and filter the data to a single location ('usgs-14138800') and only values that were identified as `event=True`, then create a plot where we color the points by the new `event_id` field."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script type=\"esms-options\">{\"shimMode\": true}</script><style>*[data-root-id],\n",
       "*[data-root-id] > * {\n",
       "  box-sizing: border-box;\n",
       "  font-family: var(--jp-ui-font-family);\n",
       "  font-size: var(--jp-ui-font-size1);\n",
       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
       "}\n",
       "\n",
       "/* Override VSCode background color */\n",
       ".cell-output-ipywidget-background:has(\n",
       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
       "  ),\n",
       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "</style>"
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     },
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     "output_type": "display_data"
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document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } 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EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n",
      "application/vnd.holoviews_load.v0+json": ""
     },
     "metadata": {},
     "output_type": "display_data"
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      "text/html": [
       "<div id='fcbbcab4-04b6-4340-b105-75ba82ce3266'>\n",
       "  <div id=\"ff06d267-658d-45e2-9064-67fc6bb6a3f2\" data-root-id=\"fcbbcab4-04b6-4340-b105-75ba82ce3266\" style=\"display: contents;\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  var docs_json = {\"97bbbbd1-1fad-49cf-8f69-d983a7e148f2\":{\"version\":\"3.6.1\",\"title\":\"Bokeh 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       "  var render_items = [{\"docid\":\"97bbbbd1-1fad-49cf-8f69-d983a7e148f2\",\"roots\":{\"fcbbcab4-04b6-4340-b105-75ba82ce3266\":\"ff06d267-658d-45e2-9064-67fc6bb6a3f2\"},\"root_ids\":[\"fcbbcab4-04b6-4340-b105-75ba82ce3266\"]}];\n",
       "  var docs = Object.values(docs_json)\n",
       "  if (!docs) {\n",
       "    return\n",
       "  }\n",
       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
       "  async function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t  for (const child of root_el.children) {\n",
       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
       "\t  }\n",
       "\t}\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "  function get_bokeh(root) {\n",
       "    if (root.Bokeh === undefined) {\n",
       "      return null\n",
       "    } else if (root.Bokeh.version !== py_version) {\n",
       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
       "\treturn null\n",
       "      }\n",
       "      return root.Bokeh.versions.get(py_version);\n",
       "    } else if (root.Bokeh.version === py_version) {\n",
       "      return root.Bokeh\n",
       "    }\n",
       "    return null\n",
       "  }\n",
       "  function is_loaded(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
       "  }\n",
       "  if (is_loaded(root)) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (is_loaded(root)) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "\t  var Bokeh = get_bokeh(root)\n",
       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
       "\t  } else {\n",
       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
       "\t    embed_document(root)\n",
       "\t  }\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ]
     },
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "fcbbcab4-04b6-4340-b105-75ba82ce3266"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import hvplot.pandas  # noqa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdf = ev.joined_timeseries.filter([\n",
    "    \"primary_location_id = 'usgs-14138800'\",\n",
    "    \"event = true\",\n",
    "]).to_pandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "primary_plot = pdf.hvplot.points(x=\"value_time\", y=\"primary_value\", color=\"event_id\") #.opts(width=1200, height=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='19daf080-733d-4519-82be-e92fcdc694f8'>\n",
       "  <div id=\"f966cb25-179e-4fc5-89a2-47688eba0a37\" data-root-id=\"19daf080-733d-4519-82be-e92fcdc694f8\" style=\"display: contents;\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  var docs_json = {\"9fc77bdb-835b-449a-9553-64efb2058411\":{\"version\":\"3.6.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"19daf080-733d-4519-82be-e92fcdc694f8\",\"attributes\":{\"name\":\"Row00309\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 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       "  var render_items = [{\"docid\":\"9fc77bdb-835b-449a-9553-64efb2058411\",\"roots\":{\"19daf080-733d-4519-82be-e92fcdc694f8\":\"f966cb25-179e-4fc5-89a2-47688eba0a37\"},\"root_ids\":[\"19daf080-733d-4519-82be-e92fcdc694f8\"]}];\n",
       "  var docs = Object.values(docs_json)\n",
       "  if (!docs) {\n",
       "    return\n",
       "  }\n",
       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
       "  async function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t  for (const child of root_el.children) {\n",
       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
       "\t  }\n",
       "\t}\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "  function get_bokeh(root) {\n",
       "    if (root.Bokeh === undefined) {\n",
       "      return null\n",
       "    } else if (root.Bokeh.version !== py_version) {\n",
       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
       "\treturn null\n",
       "      }\n",
       "      return root.Bokeh.versions.get(py_version);\n",
       "    } else if (root.Bokeh.version === py_version) {\n",
       "      return root.Bokeh\n",
       "    }\n",
       "    return null\n",
       "  }\n",
       "  function is_loaded(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
       "  }\n",
       "  if (is_loaded(root)) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (is_loaded(root)) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "\t  var Bokeh = get_bokeh(root)\n",
       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
       "\t  } else {\n",
       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
       "\t    embed_document(root)\n",
       "\t  }\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       ":Points   [value_time,primary_value]   (event_id)"
      ]
     },
     "execution_count": 16,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "19daf080-733d-4519-82be-e92fcdc694f8"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "primary_plot.opts(width=1200, height=400)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you zoom in on the plot above, you can see that each unique `event` has been given a unique `event_id` that was used to color the individual data points.  This was done by first identifying the 85 percentile value at each location and identifying each value as either above or below that value for its location.  Then the values were grouped by continuous sets of values that were identified as `event=True` and each continuous group was given an `event_id`.  This is just one example of what can be done using `TimeseriesAwareCalculatedFields`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Use Calculated Fields in Metrics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Beyond just identifying high flow events (in this example), the `event` and `event_id` fields can be used in subsequent metrics calculations.  In the next few cells we will demonstrate one way that the `event` and `event_id` fields can be used by working through the steps to calculate the `event_max_relative_bias`.  The `event_max_relative_bias` is the relative bias between the primary and secondary timeseries maximum values within each event.  We calculate this in twos steps using chained queries.  We will do it in two steps to demonstrate what we are doing. Note, if you have not worked though the grouping and filter notebooks you may want to go back and do that first as it is an important concept to understanding what is being done here. First we run a metrics query where we filter to a single location and only values that were identified as being `event=True`, group by `configuration_name`, `primary_location_id` and `event_id`, and calculate the maximum primary and secondary values which we call `max_primary_value` and `max_secondary_value` but could give them any name we wanted. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 104:>                                                        (0 + 1) / 1]\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------------------+-------------------+--------------------+-----------------+-------------------+\n",
      "| configuration_name|primary_location_id|            event_id|max_primary_value|max_secondary_value|\n",
      "+-------------------+-------------------+--------------------+-----------------+-------------------+\n",
      "|nwm30_retrospective|      usgs-14138800|2000-10-01 00:00:...|        11.015253|               0.07|\n",
      "|nwm30_retrospective|      usgs-14138800|2000-10-21 03:00:...|         5.153666|               0.96|\n",
      "|nwm30_retrospective|      usgs-14138800|2000-11-08 15:00:...|          3.68119|               1.43|\n",
      "|nwm30_retrospective|      usgs-14138800|2000-11-27 09:00:...|        7.5039644|               1.24|\n",
      "|nwm30_retrospective|      usgs-14138800|2000-12-15 03:00:...|        2.8600016|               0.64|\n",
      "|nwm30_retrospective|      usgs-14138800|2000-12-15 07:00:...|          3.68119|               0.64|\n",
      "|nwm30_retrospective|      usgs-14138800|2000-12-17 04:00:...|         4.049309|               1.24|\n",
      "|nwm30_retrospective|      usgs-14138800|2000-12-22 23:00:...|        5.5501018|                1.1|\n",
      "|nwm30_retrospective|      usgs-14138800|2001-01-05 15:00:...|        3.3413877|               2.47|\n",
      "|nwm30_retrospective|      usgs-14138800|2001-02-05 01:00:...|        7.2207956|               8.19|\n",
      "|nwm30_retrospective|      usgs-14138800|2001-03-18 14:00:...|        12.884165|              11.99|\n",
      "|nwm30_retrospective|      usgs-14138800|2001-03-25 12:00:...|        3.3413877|               4.33|\n",
      "|nwm30_retrospective|      usgs-14138800|2001-03-25 22:00:...|        3.1148531|               5.66|\n",
      "|nwm30_retrospective|      usgs-14138800|2001-03-26 22:00:...|        2.8600016|                4.0|\n",
      "|nwm30_retrospective|      usgs-14138800|2001-03-28 01:00:...|         7.305746|          7.3399997|\n",
      "|nwm30_retrospective|      usgs-14138800|2001-03-31 17:00:...|         8.070301|               4.89|\n",
      "|nwm30_retrospective|      usgs-14138800|2001-04-25 23:00:...|         3.879408|          1.4699999|\n",
      "|nwm30_retrospective|      usgs-14138800|2001-04-30 12:00:...|        14.016839|               8.44|\n",
      "|nwm30_retrospective|      usgs-14138800|2001-05-14 22:00:...|          9.42951|          1.4399999|\n",
      "|nwm30_retrospective|      usgs-14138800|2001-06-03 15:00:...|        2.8600016|         0.71999997|\n",
      "+-------------------+-------------------+--------------------+-----------------+-------------------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "(\n",
    "    ev.metrics\n",
    "    .query(\n",
    "        group_by=[\"configuration_name\", \"primary_location_id\", \"event_id\"],\n",
    "        filters=[\n",
    "            \"primary_location_id = 'usgs-14138800'\",\n",
    "            \"event = true\",\n",
    "        ],\n",
    "        include_metrics=[\n",
    "            teehr.SignatureMetrics.Maximum(\n",
    "                input_field_names=[\"primary_value\"],\n",
    "                output_field_name=\"max_primary_value\"\n",
    "            ),\n",
    "            teehr.SignatureMetrics.Maximum(\n",
    "                input_field_names=[\"secondary_value\"],\n",
    "                output_field_name=\"max_secondary_value\"\n",
    "            )\n",
    "        ]\n",
    "    )\n",
    "    .to_sdf().show()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can see that this gives us the `max_primary_value` and `max_secondary_value`  for each unique group of `configuration_name`, `primary_location_id` and `event_id`.  But, that is not what we are actually trying to calculate.  We are really trying to calculate the `event_max_relative_bias`.  To do that we have to add one more step by chaining together queries.  In the following query we add an additional chained query where we only group by `configuration_name` and `primary_location_id` which causes the query to aggregate the values from the different events, and then as an aggregation method (`include_metrics`) we choose relative bias."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mdenno/.pyenv/versions/3.10.15/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 1 leaked semaphore objects to clean up at shutdown\n",
      "  warnings.warn('resource_tracker: There appear to be %d '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------------------+-------------------+-----------------------+\n",
      "| configuration_name|primary_location_id|event_max_relative_bias|\n",
      "+-------------------+-------------------+-----------------------+\n",
      "|nwm30_retrospective|      usgs-14138800|            -0.08458245|\n",
      "+-------------------+-------------------+-----------------------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "(\n",
    "    ev.metrics\n",
    "    .query(\n",
    "        group_by=[\"configuration_name\", \"primary_location_id\", \"event_id\"],\n",
    "        filters=[\n",
    "            \"primary_location_id = 'usgs-14138800'\",\n",
    "            \"event = true\",\n",
    "        ],\n",
    "        include_metrics=[\n",
    "            teehr.SignatureMetrics.Maximum(\n",
    "                input_field_names=[\"primary_value\"],\n",
    "                output_field_name=\"max_primary_value\"\n",
    "            ),\n",
    "            teehr.SignatureMetrics.Maximum(\n",
    "                input_field_names=[\"secondary_value\"],\n",
    "                output_field_name=\"max_secondary_value\"\n",
    "            )\n",
    "        ]\n",
    "    )\n",
    "    .query(\n",
    "        group_by=[\"configuration_name\", \"primary_location_id\"],\n",
    "        include_metrics=[\n",
    "            teehr.DeterministicMetrics.RelativeBias(\n",
    "                input_field_names=[\"max_primary_value\", \"max_secondary_value\"],\n",
    "                output_field_name=\"event_max_relative_bias\"\n",
    "            )\n",
    "        ]\n",
    "    )\n",
    "    .to_sdf().show()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One last thing to cover here.  So far we have added the calculated fields on the `joined_timeseries` table, written them to disk, and then queried the `joined_timeseries` table to calculate metrics.  This works well and allows the calculated fields to be calculated once and used in many subsequent metrics, plots, etc.  However, you may wish to add temporary fields to the `joined_timeseries` table as part of the metrics calculation.  This can be done too.  Building on the pervious example, where we calculated the \"event_max_relative_bias\", lets now assume we want to calculate the same metric but for the 90th percentile instead of the default 85th percentile that we used when we added the added the `event` and `event_id` fields to the `joined_timeseries` table.  We could add the new \"90th percentile event\" to the `joined_timeseries` table and save to disk and then proceed as we did before, or we can add new `event90` and `event90_id` fields to the data frame temporarily before calculating the maximum event values and ultimately the \"event_90th_max_relative_bias\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 129:>                                                        (0 + 1) / 1]\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------------------+-------------------+----------------------------+\n",
      "| configuration_name|primary_location_id|event_90th_max_relative_bias|\n",
      "+-------------------+-------------------+----------------------------+\n",
      "|nwm30_retrospective|      usgs-14138800|                 -0.08735727|\n",
      "+-------------------+-------------------+----------------------------+\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "(\n",
    "    ev.metrics\n",
    "    # Add the PercentileEventDetection calculated field to identify events greater than the 90th percentile.\n",
    "    # Note the output_event_field_name and output_event_id_field_name are set to \"event90\" and \"event90_id\" respectively.\n",
    "    .add_calculated_fields([\n",
    "        tcf.PercentileEventDetection(\n",
    "            quantile=0.90,\n",
    "            output_event_field_name=\"event90\",\n",
    "            output_event_id_field_name=\"event90_id\"\n",
    "        )\n",
    "    ])\n",
    "    # First query to calculate the maximum primary and secondary values for each event.\n",
    "    # Note the filters are set to only include events where event90 is true and the group_by includes event90_id.\n",
    "    .query(\n",
    "        group_by=[\"configuration_name\", \"primary_location_id\", \"event90_id\"],\n",
    "        filters=[\n",
    "            \"primary_location_id = 'usgs-14138800'\",\n",
    "            \"event90 = true\",\n",
    "        ],\n",
    "        include_metrics=[\n",
    "            teehr.SignatureMetrics.Maximum(\n",
    "                input_field_names=[\"primary_value\"],\n",
    "                output_field_name=\"max_primary_value\"\n",
    "            ),\n",
    "            teehr.SignatureMetrics.Maximum(\n",
    "                input_field_names=[\"secondary_value\"],\n",
    "                output_field_name=\"max_secondary_value\"\n",
    "            )\n",
    "        ]\n",
    "    )\n",
    "    # Second query to calculate the relative bias between the maximum primary and secondary values.\n",
    "    .query(\n",
    "        group_by=[\"configuration_name\", \"primary_location_id\"],\n",
    "        include_metrics=[\n",
    "            teehr.DeterministicMetrics.RelativeBias(\n",
    "                input_field_names=[\"max_primary_value\", \"max_secondary_value\"],\n",
    "                output_field_name=\"event_90th_max_relative_bias\"\n",
    "            )\n",
    "        ]\n",
    "    )\n",
    "    # Convert the metrics to a pandas DataFrame\n",
    "    .to_sdf().show()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "ev.spark.stop()"
   ]
  }
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