{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5556432f",
   "metadata": {},
   "source": [
    "# Tutorial 4: Accessing simulation results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8899e69a",
   "metadata": {},
   "source": [
    "This tutorial demonstrates how to get result values of objects based on their tk."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a66e1ada",
   "metadata": {},
   "source": [
    "The database used for this Tutorial is based on [Network1](https://3sconsult.github.io/sir3stoolkit/examples.html#network-1)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a832a76f-fa4d-48bf-b341-185b9c1ef7b7",
   "metadata": {},
   "source": [
    "## SIR 3S Installation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3f9a8fc6-2036-4c86-b4d9-a45a87993d95",
   "metadata": {},
   "outputs": [],
   "source": [
    "SIR3S_SIRGRAF_DIR = r\"C:\\3S\\SIR 3S Entwicklung\\SirGraf-90-15-00-16_Quebec_x64\" #change to local path"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7887be8d",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbfb80b5",
   "metadata": {},
   "source": [
    "Note: The SIR 3S Toolkit requires the Sir3S_Toolkit.dll included in SIR 3S installations (version Quebec and higher)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "48372080",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sir3stoolkit"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e12d61e9",
   "metadata": {},
   "source": [
    "The core of sir3stoolkit is a Python wrapper around basic functionality of SIR 3S, offering a low-level access to the creation, modification and simulation of SIR 3S models. In the future pure python subpackages may be added."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f1baf699",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sir3stoolkit.core import wrapper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "89da1276",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'sir3stoolkit' from 'C:\\\\Users\\\\aUsername\\\\3S\\\\sir3stoolkit\\\\src\\\\sir3stoolkit\\\\__init__.py'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sir3stoolkit"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d982834",
   "metadata": {},
   "source": [
    "The [wrapper package](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.Initialize_Toolkit) has to be initialized with reference to a SIR 3S (SirGraf) installation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "817b0ebf",
   "metadata": {},
   "outputs": [],
   "source": [
    "wrapper.Initialize_Toolkit(SIR3S_SIRGRAF_DIR)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0352dd43",
   "metadata": {},
   "source": [
    "## Initialization"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e14ffe06",
   "metadata": {},
   "source": [
    "The SIR 3S Toolkit contains two classes: [SIR3S_Model](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model) (model and data) and [SIR3S_View](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_View) (depiction in SIR Graf). All SIR 3S Toolkit functionality is accessed via the methods of these classes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7e40a5af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initialization complete\n"
     ]
    }
   ],
   "source": [
    "s3s = wrapper.SIR3S_Model()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3770c93f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initialization complete\n"
     ]
    }
   ],
   "source": [
    "s3s_view = wrapper.SIR3S_View()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34309a14",
   "metadata": {},
   "source": [
    "## Open Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0918738e",
   "metadata": {},
   "outputs": [],
   "source": [
    "dbFilePath=r\"Toolkit_Tutorial4_Model.db3\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e984b61e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model is open for further operation\n"
     ]
    }
   ],
   "source": [
    "s3s.OpenModel(dbName=dbFilePath, \n",
    "              providerType=s3s.ProviderTypes.SQLite, \n",
    "              Mid=\"M-1-0-1\", \n",
    "              saveCurrentlyOpenModel=False, \n",
    "              namedInstance=\"\", \n",
    "              userID=\"\", \n",
    "              password=\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2490549",
   "metadata": {},
   "source": [
    "Now the model has been opened. All SIR 3S Toolkit operations now apply to this model until another one is opened."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8e3adb92",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NetworkType.Water\n"
     ]
    }
   ],
   "source": [
    "print(s3s.GetNetworkType()) # to check that the correct model is responsive, model we are trying to open was created with type Water"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62aa4d99",
   "metadata": {},
   "source": [
    "## Calculation()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1be859f",
   "metadata": {},
   "source": [
    "We use the [ExecCalculation()](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model.ExecCalculation) function to trigger a new Calculation of the SIR 3S Model using SIR Calc (version that is specfied in the components of the SIR Graf, that was used to initialize the Toolkit). As this model has already been calculated we can skip this step."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c0b386c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#s3s.ExecCalculation(waitForSirCalcToExit=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "315aeba3",
   "metadata": {},
   "source": [
    "## Get Result Values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d88a7a2",
   "metadata": {},
   "source": [
    "Our goal is to find how the pressure value in Node10 changes from 11:08 to 11:11."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aed94ff7",
   "metadata": {},
   "source": [
    "The [GetResultValue()](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model.GetResultValue) function requires a tk to the object and the internal SIR 3S attribute name of the value we want to obtain. This guide will walk you through how to obtain those."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a2c775d",
   "metadata": {},
   "source": [
    "### SIR 3S object types"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b9acda0",
   "metadata": {},
   "source": [
    "As we did with non-result values, we need to obtain the internal SIR 3S object types to be passed to our function for obtaining the attribute names."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c28fc2d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "node_type=s3s.ObjectTypes.Node"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e2b32739",
   "metadata": {},
   "outputs": [],
   "source": [
    "pipe_type=s3s.ObjectTypes.Pipe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6c3df7e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "pump_type = s3s.ObjectTypes.Pump"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3ddd7bb7",
   "metadata": {},
   "outputs": [],
   "source": [
    "container_type = s3s.ObjectTypes.OpenContainer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85411a73",
   "metadata": {},
   "source": [
    "### Find the node of interest"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48a6dfab",
   "metadata": {},
   "source": [
    "As we did with non-result values, we obtain the tks of the nodes and pipes in this model."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2cf93b7d",
   "metadata": {},
   "source": [
    "We use [GetTksofElementType()](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model.GetTksofElementType) to create a list of all node tks in the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "30945bd0",
   "metadata": {},
   "outputs": [],
   "source": [
    "nodes=s3s.GetTksofElementType(ElementType=node_type)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c0911db9",
   "metadata": {},
   "outputs": [],
   "source": [
    "for node in nodes:\n",
    "    if(s3s.GetValue(node, 'Name')[0]=='Node10'):\n",
    "        tk_of_interest=s3s.GetValue(node, 'tk')[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2856f89c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5452027739517825954\n"
     ]
    }
   ],
   "source": [
    "print(tk_of_interest)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c67fcc0",
   "metadata": {},
   "source": [
    "### GetResultProperties_from_elementTypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33f66226",
   "metadata": {},
   "source": [
    "Similar to non-result values, we use [GetResultProperties_from_elementTypes()](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model.GetResultProperties_from_elementType) to create a list of all result properties of the different objects that exist in our model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6317c6d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "node_result_properties=s3s.GetResultProperties_from_elementType(elementType=node_type, onlySelectedVectors=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "195e7c66",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['BCIND', 'BCIND_CALC', 'BCIND_FLOW', 'BCIND_MODEL', 'BCIND_SOURCE', 'BCIND_TYPE', 'CHLORID', 'CP', 'DP', 'DPH', 'DYNVISKO', 'EH', 'EISENFILT', 'EISENGES', 'ESQUELLSP', 'FITT_ANGLE', 'FITT_BASTYPE', 'FITT_DP1', 'FITT_DP2', 'FITT_DP3', 'FITT_STATE', 'FITT_SUBTYPE', 'FITT_VBTYPE1', 'FITT_VBTYPE2', 'FITT_VBTYPE3', 'FITT_ZETA1', 'FITT_ZETA2', 'FITT_ZETA3', 'FSTF_NAME', 'GMIX_NAME', 'H', 'HI', 'HMAX_INST', 'HMIN_INST', 'HS', 'IAKTIV', 'INDUV', 'K', 'KP', 'KT', 'LEITFAEH', 'LFAKTAKT', 'LFKT', 'M', 'MAINELEMENT', 'MN', 'P', 'PDAMPF', 'PH', 'PH_EIN', 'PH_MIN', 'PHMINMAXDIF', 'PHWERT', 'PMAX_INST', 'PMIN_INST', 'PVAR', 'Q2', 'QM', 'QMABS', 'QVAR', 'RHO', 'RHON', 'RHONQUAL', 'SULFAT', 'T', 'TE', 'TEMP', 'TMAX_INST', 'TMIN_INST', 'TTR', 'VOLD', 'WALTER', 'ZHKNR']\n"
     ]
    }
   ],
   "source": [
    "print(node_result_properties)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "27f7d180",
   "metadata": {},
   "outputs": [],
   "source": [
    "pipe_result_properties=s3s.GetResultProperties_from_elementType(elementType=pipe_type, onlySelectedVectors=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "54975e7c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['A', 'ACALC', 'CPI', 'CPK', 'DH', 'DP', 'DRAGRED', 'DRAKONZ', 'DSI', 'DSK', 'DTTR', 'DWVERL', 'DWVERLABS', 'ETAAV', 'FS', 'HR', 'HVEC', 'IAKTIV', 'IRTRENN', 'JV', 'JV2', 'LAMBDA', 'LECKEINAUS', 'LECKMENGE', 'LECKORT', 'LINEPACK', 'LINEPACKGEOM', 'LINEPACKRATE', 'MAINELEMENT', 'MAV', 'MI', 'MK', 'MKOND', 'MMAX_INST', 'MMIN_INST', 'MVEC', 'MVECMAX_INST', 'MVECMIN_INST', 'PAV', 'PDAMPF', 'PHR', 'PHVEC', 'PMAX', 'PMIN', 'PR', 'PVEC', 'PVECMAX_INST', 'PVECMIN_INST', 'QI2', 'QK2', 'QMAV', 'QMI', 'QMK', 'QMMAX_INST', 'QMMIN_INST', 'QMVEC', 'QSVB', 'RHOAV', 'RHOI', 'RHOK', 'RHOVEC', 'SVEC', 'TAV', 'TI', 'TK', 'TTRVEC', 'TVEC', 'TVECMAX_INST', 'TVECMIN_INST', 'VAV', 'VI', 'VK', 'VMAX_INST', 'VMIN_INST', 'VOLDA', 'WALTERI', 'WALTERK', 'WVL', 'ZAUS', 'ZEIN', 'ZHKNR', 'ZVEC']\n"
     ]
    }
   ],
   "source": [
    "print(pipe_result_properties)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "1ee52372",
   "metadata": {},
   "outputs": [],
   "source": [
    "pump_result_properties=s3s.GetResultProperties_from_elementType(elementType=pump_type, onlySelectedVectors=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b8e486c0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['BK', 'DH', 'DP', 'DPH', 'EINAUS', 'ETA', 'ETAW', 'IAKTIV', 'IND', 'M', 'MAINELEMENT', 'MOM', 'N', 'NMINMAXDIF', 'NPSH', 'NPSHDIF', 'NPSHMIN', 'NSOLLTURB', 'PA', 'PE', 'PE_RUECK', 'PHSOLL', 'PP', 'PUMD', 'QM', 'QMSOLL', 'QMSOLLTURB', 'QN0', 'RCPU_IND', 'RCPU_W', 'RCPU_X', 'RCPU_XD', 'RHO', 'STOERUNG', 'SWVT']\n"
     ]
    }
   ],
   "source": [
    "print(pump_result_properties)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ad5e272d",
   "metadata": {},
   "outputs": [],
   "source": [
    "tank_result_properties=s3s.GetResultProperties_from_elementType(elementType=container_type, onlySelectedVectors=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "756e3f34",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['DWST_DT', 'IAKTIV', 'M', 'MAINELEMENT', 'MEXT', 'QM', 'QMEXT', 'RHO', 'T', 'T0', 'V', 'VOL', 'WALTER', 'WALTER0', 'WST', 'WST0']\n"
     ]
    }
   ],
   "source": [
    "print(tank_result_properties)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d9f2194",
   "metadata": {},
   "source": [
    "### GetResultProperties_from_elementKey"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2391a428",
   "metadata": {},
   "source": [
    "Alternatively, we can use [GetResultProperties_from_elementKey()](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model.GetResultProperties_from_elementKey) to create a list of all result properties of one one specific object based on its tk."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "eba499b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "node_result_properties_alternative=s3s.GetResultProperties_from_elementKey(elementKey=nodes[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b629095c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['BCIND', 'FITT_BASTYPE', 'FITT_DP1', 'FITT_DP2', 'FITT_DP3', 'FITT_STATE', 'H', 'IAKTIV', 'INDUV', 'LFAKTAKT', 'P', 'PDAMPF', 'PH', 'PH_EIN', 'PH_MIN', 'PHMINMAXDIF', 'QM', 'RHO', 'T', 'TTR', 'VOLD']\n"
     ]
    }
   ],
   "source": [
    "print(node_result_properties_alternative)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92eeb97d",
   "metadata": {},
   "source": [
    "### Timestamps"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6adae36",
   "metadata": {},
   "source": [
    "The [GetResultValue()](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model.GetResultValue) function gives the value corresponding to the currently selected timestamp for the model. You can check the current timestamp using [GetCurrentTimeStamp()](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model.GetCurrentTimeStamp) and change it using [SetCurrentTimeStamp()](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model.SetCurrentTimeStamp)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "dd8a66ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2025-07-18 11:07:35.000 +02:00'"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s3s.GetCurrentTimeStamp()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1ff44c1",
   "metadata": {},
   "source": [
    "We can check what Timestamps are available in this model using [GetTimeStamps()](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model.GetTimeStamps)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "fd2691b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "available_timestamps=s3s.GetTimeStamps()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "189e0aff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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20:53:35.000 +02:00', '2025-07-18 20:54:35.000 +02:00', '2025-07-18 20:55:35.000 +02:00', '2025-07-18 20:56:35.000 +02:00', '2025-07-18 20:57:35.000 +02:00', '2025-07-18 20:58:35.000 +02:00', '2025-07-18 20:59:35.000 +02:00', '2025-07-18 21:00:35.000 +02:00', '2025-07-18 21:01:35.000 +02:00', '2025-07-18 21:02:35.000 +02:00', '2025-07-18 21:03:35.000 +02:00', '2025-07-18 21:04:35.000 +02:00', '2025-07-18 21:05:35.000 +02:00', '2025-07-18 21:06:35.000 +02:00', '2025-07-18 21:07:35.000 +02:00', '2025-07-18 21:08:35.000 +02:00', '2025-07-18 21:09:35.000 +02:00', '2025-07-18 21:10:35.000 +02:00', '2025-07-18 21:11:35.000 +02:00', '2025-07-18 21:12:35.000 +02:00', '2025-07-18 21:13:35.000 +02:00', '2025-07-18 21:14:35.000 +02:00', '2025-07-18 21:15:35.000 +02:00', '2025-07-18 21:16:35.000 +02:00', '2025-07-18 21:17:35.000 +02:00', '2025-07-18 21:18:35.000 +02:00', '2025-07-18 21:19:35.000 +02:00', '2025-07-18 21:20:35.000 +02:00', '2025-07-18 21:21:35.000 +02:00', '2025-07-18 21:22:35.000 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'2025-07-18 21:52:35.000 +02:00', '2025-07-18 21:53:35.000 +02:00', '2025-07-18 21:54:35.000 +02:00', '2025-07-18 21:55:35.000 +02:00', '2025-07-18 21:56:35.000 +02:00', '2025-07-18 21:57:35.000 +02:00', '2025-07-18 21:58:35.000 +02:00', '2025-07-18 21:59:35.000 +02:00', '2025-07-18 22:00:35.000 +02:00', '2025-07-18 22:01:35.000 +02:00', '2025-07-18 22:02:35.000 +02:00', '2025-07-18 22:03:35.000 +02:00', '2025-07-18 22:04:35.000 +02:00', '2025-07-18 22:05:35.000 +02:00', '2025-07-18 22:06:35.000 +02:00', '2025-07-18 22:07:35.000 +02:00', '2025-07-18 22:08:35.000 +02:00', '2025-07-18 22:09:35.000 +02:00', '2025-07-18 22:10:35.000 +02:00', '2025-07-18 22:11:35.000 +02:00', '2025-07-18 22:12:35.000 +02:00', '2025-07-18 22:13:35.000 +02:00', '2025-07-18 22:14:35.000 +02:00', '2025-07-18 22:15:35.000 +02:00', '2025-07-18 22:16:35.000 +02:00', '2025-07-18 22:17:35.000 +02:00', '2025-07-18 22:18:35.000 +02:00', '2025-07-18 22:19:35.000 +02:00', '2025-07-18 22:20:35.000 +02:00', '2025-07-18 22:21:35.000 +02:00', '2025-07-18 22:22:35.000 +02:00', '2025-07-18 22:23:35.000 +02:00', '2025-07-18 22:24:35.000 +02:00', '2025-07-18 22:25:35.000 +02:00', '2025-07-18 22:26:35.000 +02:00', '2025-07-18 22:27:35.000 +02:00'], '2025-07-18 11:07:35.000 +02:00', '', '')\n"
     ]
    }
   ],
   "source": [
    "print(available_timestamps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a76a983f-3a3a-4bf2-a144-d7848f0d14ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "s3s.SetCurrentTimeStamp(timestamp='2025-07-18 11:08:35.000 +02:00')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "e82be207-1a63-461c-b817-09fbdf3d4ff1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2025-07-18 11:08:35.000 +02:00'"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s3s.GetCurrentTimeStamp() # Check whether the change worked"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "942e54c9",
   "metadata": {},
   "source": [
    "### GetResultValue()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e6e954a",
   "metadata": {},
   "source": [
    "Now we can obtain the pressure value for one of our nodes at two different timestamps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b3e5f147",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2025-07-18 11:08:35.000 +02:00'"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s3s.GetCurrentTimeStamp()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "a7875f26",
   "metadata": {},
   "outputs": [],
   "source": [
    "pressure1=s3s.GetResultValue(elementKey=tk_of_interest, propertyName='P')[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "31017130",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6.505175\n"
     ]
    }
   ],
   "source": [
    "print(pressure1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37e39cb2",
   "metadata": {},
   "source": [
    "Manually moving the timestamp forward by three minutes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "99f5a898-cafa-45a2-b9a1-940a3f768810",
   "metadata": {},
   "outputs": [],
   "source": [
    "s3s.SetCurrentTimeStamp(timestamp='2025-07-18 11:11:35.000 +02:00')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "a498a259-bc63-4d8f-a515-63e5fb52f278",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2025-07-18 11:11:35.000 +02:00'"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s3s.GetCurrentTimeStamp() # Check whether the change worked"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "d65d429a-0b12-42f8-a7d6-3eb5d9a6e0dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "pressure2=s3s.GetResultValue(elementKey=tk_of_interest, propertyName='P')[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "3ff5a7e1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8.001184\n"
     ]
    }
   ],
   "source": [
    "print(pressure2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0499acdc-c8b4-4f02-80e3-bcbbc85c9809",
   "metadata": {},
   "source": [
    "Alternatively, the result can be obtained with the single, compact [GetResultfortimestamp()](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model.GetResultfortimestamp) function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "2a353a1e",
   "metadata": {},
   "outputs": [],
   "source": [
    "pressure2=s3s.GetResultfortimestamp(timestamp='2025-07-18 11:11:35.000 +02:00', Tk=tk_of_interest, property='P')[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "d1808285",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Difference in Pressure 11:08 to 11:11: -1.496009 bar\n"
     ]
    }
   ],
   "source": [
    "print(f\"Difference in Pressure 11:08 to 11:11: {float(pressure1)-float(pressure2)} bar\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d0386e3",
   "metadata": {},
   "source": [
    "We determined a pressure drop between the two timestamps."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3606594-c65c-40db-b41c-7603b3d25459",
   "metadata": {},
   "source": [
    "The pressure values for the respective node for all timestamps can be obtained using the [GetResultforAllTimestamp()](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model.GetResultforAllTimestamp)funtion."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "1589b638-f725-45ba-892b-ab7fe62ce725",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " ('2025-07-18 11:09:35.000 +02:00', '7.007565', 'float'),\n",
       " ('2025-07-18 11:10:35.000 +02:00', '7.502397', 'float'),\n",
       " ('2025-07-18 11:11:35.000 +02:00', '8.001184', 'float'),\n",
       " ('2025-07-18 11:12:35.000 +02:00', '8.490408', 'float'),\n",
       " ('2025-07-18 11:13:35.000 +02:00', '8.951271', 'float'),\n",
       " ('2025-07-18 11:14:35.000 +02:00', '9.492414', 'float'),\n",
       " ('2025-07-18 11:15:35.000 +02:00', '9.98864', 'float'),\n",
       " ('2025-07-18 11:16:35.000 +02:00', '10.49222', 'float'),\n",
       " ('2025-07-18 11:17:35.000 +02:00', '10.49815', 'float'),\n",
       " ('2025-07-18 11:18:35.000 +02:00', '10.49436', 'float'),\n",
       " ('2025-07-18 11:19:35.000 +02:00', '10.49679', 'float'),\n",
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       " ('2025-07-18 21:49:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 21:50:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 21:51:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 21:52:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 21:53:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 21:54:35.000 +02:00', '10.49584', 'float'),\n",
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       " ('2025-07-18 21:59:35.000 +02:00', '10.49584', 'float'),\n",
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       " ('2025-07-18 22:01:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:02:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:03:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:04:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:05:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:06:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:07:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:08:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:09:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:10:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:11:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:12:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:13:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:14:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:15:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:16:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:17:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:18:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:19:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:20:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:21:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:22:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:23:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:24:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:25:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:26:35.000 +02:00', '10.49584', 'float'),\n",
       " ('2025-07-18 22:27:35.000 +02:00', '10.49584', 'float')]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s3s.GetResultforAllTimestamp(Tk=tk_of_interest, property='P')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8e13601-c245-40d9-98bf-fb829cfe8f7d",
   "metadata": {},
   "source": [
    "### GetMax/MinResult()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d10f74d3-ae8b-4b44-9af0-81a1b78f8f34",
   "metadata": {},
   "source": [
    "The [GetMinResult()](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model.GetMinResult) and [GetMaxResult()](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model.GetMaxResult) functions return the min/max result value for a given property and element type over all timestamps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "e88f6a8a-c589-4029-859e-3e979c5dd1b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('1', '5196977599086967050', 'float')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s3s.GetMinResult(elementType=node_type, propertyName='P')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b159fe92-e681-4787-8347-c2d732fa2e3b",
   "metadata": {},
   "source": [
    "We can see that the minimal pressure value over all nodes and timestamps is 1 and the tk of the node where it occurs is given."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "db5c461b-1637-4620-8ed5-6362c2ca4315",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('11.08869', '4794716974138007716', 'float')"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s3s.GetMaxResult(elementType=node_type, propertyName='P')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c72755c8-471f-452d-90d0-14d149367529",
   "metadata": {},
   "source": [
    "We can see that the maximal pressure value over all nodes and timestamps is 11 and the tk of the node where it occurs is given."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cafa6684-4a1d-45ac-a0ab-1614e98b30be",
   "metadata": {},
   "source": [
    "### GetMax/MinResult_for_timestamp()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "262e86b8-a4c2-448e-a1d4-c3e679cb7712",
   "metadata": {},
   "source": [
    "The [GetMinResult_for_timestamp()](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model.GetMinResult_for_timestamp) and [GetMaxResult_for_timestamp()](https://3sconsult.github.io/sir3stoolkit/references/sir3stoolkit.core.html#sir3stoolkit.core.wrapper.SIR3S_Model.GetMaxResult_for_timestamp) functions return the min/max result value for a given property, element type and timestamp."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "a4675210-1f0d-4db5-a71e-838e0a2dc34a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('1', '5196977599086967050', 'float')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s3s.GetMinResult_for_timestamp(timestamp='2025-07-18 11:08:35.000 +02:00', elementType=node_type, propertyName='P')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "f862e84c-72ed-4005-aad9-df7fb39d2599",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('1', '5196977599086967050', 'float')"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s3s.GetMinResult_for_timestamp(timestamp='2025-07-18 11:12:35.000 +02:00', elementType=node_type, propertyName='P')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3d93e9e-a351-4dda-b3c5-04deb8c04d7e",
   "metadata": {},
   "source": [
    "We an observe that the min pressure value over all nodes stays the same from 8 to 12 minutes and occurs at the same node."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "80fc47c2-585e-4831-acb6-9f59e399edf9",
   "metadata": {},
   "outputs": [],
   "source": [
    "max_pressure1=s3s.GetMaxResult_for_timestamp(timestamp='2025-07-18 11:08:35.000 +02:00', elementType= node_type, propertyName='P')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "35d95cf7-23d6-46d5-ae2c-12c8cbf3a168",
   "metadata": {},
   "outputs": [],
   "source": [
    "max_pressure2=s3s.GetMaxResult_for_timestamp(timestamp='2025-07-18 11:12:35.000 +02:00',elementType=node_type, propertyName='P')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "b31651a6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Max Pressure 11:08: 6.505175 bar at 5452027739517825954 compared to 11:11: 8.5 bar at 5135870410338621985.\n"
     ]
    }
   ],
   "source": [
    "print(f\"Max Pressure 11:08: {max_pressure1[0]} bar at {max_pressure1[1]} compared to 11:11: {max_pressure2[0]} bar at {max_pressure2[1]}.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0362f6b6",
   "metadata": {},
   "source": [
    "__Next:__ Tutorial 5: Editing a SIR 3S model safely and effectively"
   ]
  }
 ],
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