Lesson 2.3. PowerGrid Model API - Using SPARQL Queries.ipynb

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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Lesson 2.2:\n",
    "# Using the PowerGrid Models API with SPARQL Queries\n",
    "\n",
    "This tutorial focuses on how to make generic queries of the PowerGrid Models API to obtain names, mRIDs, measurements, and control setting objects modeled in CIM XML for common power system equipment used in GridAPPS-D.\n",
    "\n",
    "The lesson reviews the format used for making generic SPARQL queries and then presents an extensive catalog of cut-and-paste code blocks for the most common queries.\n",
    "\n",
    "__Learning Objectives:__\n",
    "\n",
    "At the end of the tutorial, the user should be able to use the PowerGrid Models API to\n",
    "\n",
    "* \n",
    "* \n",
    "* \n",
    "\n",
    "## Getting Started\n",
    "\n",
    "Before running any of the sample routines in this tutorial, it is first necessary to start the GridAPPS-D Platform and establish a connection to this notebook so that we can start passing calls to the API."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Open the Ubuntu terminal and start the GridAPPS-D Platform if it is not running already:_\n",
    "\n",
    "`cd gridappsd-docker`\n",
    "\n",
    "~/gridappsd-docker$ `./run.sh -t develop`\n",
    "\n",
    "_Once containers are running,_\n",
    "\n",
    "gridappsd@[container]:/gridappsd$ `./run-gridappsd.sh`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Establish connection to GridAPPS-D Platform:\n",
    "from gridappsd import GridAPPSD\n",
    "gapps = GridAPPSD(\"('localhost', 61613)\", username='system', password='manager')\n",
    "model_mrid = \"_49AD8E07-3BF9-A4E2-CB8F-C3722F837B62\" # IEEE 13 Node used for all example queries"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "# Table of Contents\n",
    "\n",
    "* [1. Structure of Generic SPARQL Queries](#1.-Structure-of-Generic-SPARQL-Queries)\n",
    "* [2. Making SPARQL Queries using the GridAPPSD-Python API](#2.-Making-SPARQL-Queries-using-the-GridAPPSD-Python-API)\n",
    "* [3. Making SPARQL Queries using the STOMP Client](#3.-Making-SPARQL-Queries-using-the-STOMP-Client)\n",
    "* [4. Making SPARQL Queries using the Blazegraph Workbench](#4.-Making-SPARQL-Queries-using-the-Blazegraph-Workbench)\n",
    "* [5. Catalog of Common SPARQL Queries for CIM Objects](#5.-Catalog-of-Common-SPARQL-Queries-for-CIM-Objects)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Structure of Generic SPARQL Queries\n",
    "\n",
    "The format of SPARQL queries was discussed in detail previously in [Lesson 1.7](). \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Making SPARQL Queries using the GridAPPSD-Python API\n",
    "\n"
   ]
  },
  {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "# 3. Making SPARQL Queries using the Blazegraph Workbench\n",
    "\n",
    "Open the [Blazegraph Workbench](http://localhost:8889/bigdata/#query) hosted on [localhost:8889/bigdata](http://localhost:8889/bigdata/#query)\n",
    "\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "\n",
    "\n",
    "In the query input window, it is possible to directly copy and paste queries to the Blazegraph database. \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "# 5. Catalog of Common SPARQL Queries for CIM Objects\n",
    "\n",
    "The sections below present common power system equipment and measurement objects. The \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.1. Queries for all feeder models and core objects"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### List all the feeders, with substations and regions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "# list all the feeders, with substations and regions - DistFeeder\n",
    "PREFIX r:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c:  <http://iec.ch/TC57/CIM100#>\n",
    "SELECT ?feeder ?fid ?station ?sid ?subregion ?sgrid ?region ?rgnid WHERE {\n",
    " ?s r:type c:Feeder.\n",
    " ?s c:IdentifiedObject.name ?feeder.\n",
    " ?s c:IdentifiedObject.mRID ?fid.\n",
    " ?s c:Feeder.NormalEnergizingSubstation ?sub.\n",
    " ?sub c:IdentifiedObject.name ?station.\n",
    " ?sub c:IdentifiedObject.mRID ?sid.\n",
    " ?sub c:Substation.Region ?sgr.\n",
    " ?sgr c:IdentifiedObject.name ?subregion.\n",
    " ?sgr c:IdentifiedObject.mRID ?sgrid.\n",
    " ?sgr c:SubGeographicalRegion.Region ?rgn.\n",
    " ?rgn c:IdentifiedObject.name ?region.\n",
    " ?rgn c:IdentifiedObject.mRID ?rgnid.\n",
    "}\n",
    "ORDER by ?station ?feeder\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'data': {'head': {'vars': ['feeder',\n",
       "    'fid',\n",
       "    'station',\n",
       "    'sid',\n",
       "    'subregion',\n",
       "    'sgrid',\n",
       "    'region',\n",
       "    'rgnid']},\n",
       "  'results': {'bindings': [{'feeder': {'type': 'literal', 'value': 'ieee123'},\n",
       "     'fid': {'type': 'literal',\n",
       "      'value': '_C1C3E687-6FFD-C753-582B-632A27E28507'},\n",
       "     'station': {'type': 'literal', 'value': 'IEEE123'},\n",
       "     'sid': {'type': 'literal',\n",
       "      'value': '_FE44B314-385E-C2BF-3983-3A10C6060022'},\n",
       "     'subregion': {'type': 'literal', 'value': 'Medium'},\n",
       "     'sgrid': {'type': 'literal',\n",
       "      'value': '_1CD7D2EE-3C91-3248-5662-A43EFEFAC224'},\n",
       "     'region': {'type': 'literal', 'value': 'IEEE'},\n",
       "     'rgnid': {'type': 'literal',\n",
       "      'value': '_73C512BD-7249-4F50-50DA-D93849B89C43'}},\n",
       "    {'feeder': {'type': 'literal', 'value': 'ieee123pv'},\n",
       "     'fid': {'type': 'literal',\n",
       "      'value': '_E407CBB6-8C8D-9BC9-589C-AB83FBF0826D'},\n",
       "     'station': {'type': 'literal', 'value': 'IEEE123'},\n",
       "     'sid': {'type': 'literal',\n",
       "      'value': '_FE44B314-385E-C2BF-3983-3A10C6060022'},\n",
       "     'subregion': {'type': 'literal', 'value': 'Medium'},\n",
       "     'sgrid': {'type': 'literal',\n",
       "      'value': '_1CD7D2EE-3C91-3248-5662-A43EFEFAC224'},\n",
       "     'region': {'type': 'literal', 'value': 'IEEE'},\n",
       "     'rgnid': {'type': 'literal',\n",
       "      'value': '_73C512BD-7249-4F50-50DA-D93849B89C43'}},\n",
       "    {'feeder': {'type': 'literal', 'value': 'ieee13nodeckt'},\n",
       "     'fid': {'type': 'literal',\n",
       "      'value': '_49AD8E07-3BF9-A4E2-CB8F-C3722F837B62'},\n",
       "     'station': {'type': 'literal', 'value': 'IEEE13'},\n",
       "     'sid': {'type': 'literal',\n",
       "      'value': '_6C62C905-6FC7-653D-9F1E-1340F974A587'},\n",
       "     'subregion': {'type': 'literal', 'value': 'Small'},\n",
       "     'sgrid': {'type': 'literal',\n",
       "      'value': '_ABEB635F-729D-24BF-B8A4-E2EF268D8B9E'},\n",
       "     'region': {'type': 'literal', 'value': 'IEEE'},\n",
       "     'rgnid': {'type': 'literal',\n",
       "      'value': '_73C512BD-7249-4F50-50DA-D93849B89C43'}},\n",
       "    {'feeder': {'type': 'literal', 'value': 'ieee13nodecktassets'},\n",
       "     'fid': {'type': 'literal',\n",
       "      'value': '_5B816B93-7A5F-B64C-8460-47C17D6E4B0F'},\n",
       "     'station': {'type': 'literal', 'value': 'IEEE13'},\n",
       "     'sid': {'type': 'literal',\n",
       "      'value': '_6C62C905-6FC7-653D-9F1E-1340F974A587'},\n",
       "     'subregion': {'type': 'literal', 'value': 'Small'},\n",
       "     'sgrid': {'type': 'literal',\n",
       "      'value': '_ABEB635F-729D-24BF-B8A4-E2EF268D8B9E'},\n",
       "     'region': {'type': 'literal', 'value': 'IEEE'},\n",
       "     'rgnid': {'type': 'literal',\n",
       "      'value': '_73C512BD-7249-4F50-50DA-D93849B89C43'}},\n",
       "    {'feeder': {'type': 'literal', 'value': 'ieee8500'},\n",
       "     'fid': {'type': 'literal',\n",
       "      'value': '_4F76A5F9-271D-9EB8-5E31-AA362D86F2C3'},\n",
       "     'station': {'type': 'literal', 'value': 'IEEE8500'},\n",
       "     'sid': {'type': 'literal',\n",
       "      'value': '_F1E8E479-5FA0-4BFF-8173-B375D25B0AA2'},\n",
       "     'subregion': {'type': 'literal', 'value': 'Large'},\n",
       "     'sgrid': {'type': 'literal',\n",
       "      'value': '_A1170111-942A-6ABD-D325-C64886DC4D7D'},\n",
       "     'region': {'type': 'literal', 'value': 'IEEE'},\n",
       "     'rgnid': {'type': 'literal',\n",
       "      'value': '_73C512BD-7249-4F50-50DA-D93849B89C43'}},\n",
       "    {'feeder': {'type': 'literal', 'value': 'j1'},\n",
       "     'fid': {'type': 'literal',\n",
       "      'value': '_67AB291F-DCCD-31B7-B499-338206B9828F'},\n",
       "     'station': {'type': 'literal', 'value': 'J1'},\n",
       "     'sid': {'type': 'literal',\n",
       "      'value': '_A3C31EE7-4EE6-A167-87C7-915B1C6E97F0'},\n",
       "     'subregion': {'type': 'literal', 'value': 'DPV'},\n",
       "     'sgrid': {'type': 'literal',\n",
       "      'value': '_096FDFB8-2692-D811-F483-553D578399F2'},\n",
       "     'region': {'type': 'literal', 'value': 'EPRI'},\n",
       "     'rgnid': {'type': 'literal',\n",
       "      'value': '_9A1E61E4-5CF1-982B-C7EF-0918D26645C7'}},\n",
       "    {'feeder': {'type': 'literal', 'value': 'ieee123transactive'},\n",
       "     'fid': {'type': 'literal',\n",
       "      'value': '_503D6E20-F499-4CC7-8051-971E23D0BF79'},\n",
       "     'station': {'type': 'literal', 'value': 'PNNL'},\n",
       "     'sid': {'type': 'literal',\n",
       "      'value': '_A4C079AE-FE2B-4D11-969E-1268AFC562E9'},\n",
       "     'subregion': {'type': 'literal', 'value': 'Medium'},\n",
       "     'sgrid': {'type': 'literal',\n",
       "      'value': '_2BBFD370-B30F-4EC5-B7AE-6873921C8C7C'},\n",
       "     'region': {'type': 'literal', 'value': 'IEEE'},\n",
       "     'rgnid': {'type': 'literal',\n",
       "      'value': '_24BA911D-65D5-4769-9A30-4178B2DFA203'}},\n",
       "    {'feeder': {'type': 'literal', 'value': 'test9500new'},\n",
       "     'fid': {'type': 'literal',\n",
       "      'value': '_AAE94E4A-2465-6F5E-37B1-3E72183A4E44'},\n",
       "     'station': {'type': 'literal', 'value': 'ThreeSubs'},\n",
       "     'sid': {'type': 'literal',\n",
       "      'value': '_40485321-9B2C-1B8C-EC33-39D2F7948163'},\n",
       "     'subregion': {'type': 'literal', 'value': 'Large'},\n",
       "     'sgrid': {'type': 'literal',\n",
       "      'value': '_A1170111-942A-6ABD-D325-C64886DC4D7D'},\n",
       "     'region': {'type': 'literal', 'value': 'IEEE'},\n",
       "     'rgnid': {'type': 'literal',\n",
       "      'value': '_73C512BD-7249-4F50-50DA-D93849B89C43'}},\n",
       "    {'feeder': {'type': 'literal', 'value': 'acep_psil'},\n",
       "     'fid': {'type': 'literal',\n",
       "      'value': '_77966920-E1EC-EE8A-23EE-4EFD23B205BD'},\n",
       "     'station': {'type': 'literal', 'value': 'UAF'},\n",
       "     'sid': {'type': 'literal',\n",
       "      'value': '_22B12048-23DF-007B-9291-826A16DBCB21'},\n",
       "     'subregion': {'type': 'literal', 'value': 'Fairbanks'},\n",
       "     'sgrid': {'type': 'literal',\n",
       "      'value': '_2F8FC9BF-FF32-A197-D541-0A2529D04DF7'},\n",
       "     'region': {'type': 'literal', 'value': 'Alaska'},\n",
       "     'rgnid': {'type': 'literal',\n",
       "      'value': '_96465E7A-6EC3-ECCA-BC27-31B53F05C96E'}},\n",
       "    {'feeder': {'type': 'literal', 'value': 'sourceckt'},\n",
       "     'fid': {'type': 'literal',\n",
       "      'value': '_9CE150A8-8CC5-A0F9-B67E-BBD8C79D3095'},\n",
       "     'station': {'type': 'literal', 'value': 'sourceckt_Substation'},\n",
       "     'sid': {'type': 'literal',\n",
       "      'value': '_933D85C1-BE1C-4C05-D4DD-4B41D941C52C'},\n",
       "     'subregion': {'type': 'literal', 'value': 'Taxonomy'},\n",
       "     'sgrid': {'type': 'literal',\n",
       "      'value': '_656EE259-23FF-086E-1DC0-39CB9DC60A20'},\n",
       "     'region': {'type': 'literal', 'value': 'PNNL'},\n",
       "     'rgnid': {'type': 'literal',\n",
       "      'value': '_79C9D814-3CE0-DC11-534D-BDA1AF949810'}}]}},\n",
       " 'responseComplete': True,\n",
       " 'id': '2139319401'}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Preview API call output for the query\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Get all mRID values by class and name\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "PREFIX r:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c:  <http://iec.ch/TC57/CIM100#>\n",
    "SELECT ?type ?name ?id WHERE {\n",
    " ?s c:IdentifiedObject.name ?name.\n",
    " ?s c:IdentifiedObject.mRID ?id.\n",
    " ?s r:type ?rawtype.\n",
    "  bind(strafter(str(?rawtype),\"#\") as ?type)\n",
    "}\n",
    "ORDER by ?type ?name\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preview API call output\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Querying for Buses and Nodes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.1. List the bus name and xy coordinates\n",
    "\n",
    "\n",
    "Note: this query is the basis of qbus_template in InsertDER.py\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "PREFIX r:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c:  <http://iec.ch/TC57/CIM100#>\n",
    "SELECT ?bus ?seq ?locid ?x ?y WHERE { # ?cnid ?tid ?eqid\n",
    "VALUES ?fdrid {\"%s\"}  # inserts model_mrid\n",
    " ?fdr c:IdentifiedObject.mRID ?fdrid.\n",
    " ?cn c:ConnectivityNode.ConnectivityNodeContainer ?fdr.\n",
    " ?trm c:Terminal.ConnectivityNode ?cn.\n",
    " ?trm c:ACDCTerminal.sequenceNumber ?seq.\n",
    " ?trm c:Terminal.ConductingEquipment ?eq.\n",
    " ?eq c:PowerSystemResource.Location ?loc.\n",
    " ?trm c:IdentifiedObject.mRID ?tid.\n",
    " ?cn c:IdentifiedObject.mRID ?cnid.\n",
    " ?cn c:IdentifiedObject.name ?bus.\n",
    " ?eq c:IdentifiedObject.mRID ?eqid.\n",
    " ?loc c:IdentifiedObject.mRID ?locid.\n",
    " ?pt c:PositionPoint.Location ?loc.\n",
    " # caution - these next three triples make the query very slow, uncomment only if needed\n",
    " # ?pt c:PositionPoint.sequenceNumber ?seq.\n",
    " # ?pt c:PositionPoint.xPosition ?x.\n",
    " # ?pt c:PositionPoint.yPosition ?y\n",
    "}\n",
    "ORDER BY ?bus ?locid\n",
    "\n",
    "\"\"\" % model_mrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'data': {'head': {'vars': ['bus', 'seq', 'locid', 'x', 'y']},\n",
       "  'results': {'bindings': [{'bus': {'type': 'literal', 'value': '611'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_08866A9B-A318-4DA1-83FE-16EAD7927BA9'}},\n",
       "    {'bus': {'type': 'literal', 'value': '611'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_5A4B421C-35AA-45FA-B364-43236D22BCEE'}},\n",
       "    {'bus': {'type': 'literal', 'value': '611'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_5A4B421C-35AA-45FA-B364-43236D22BCEE'}},\n",
       "    {'bus': {'type': 'literal', 'value': '611'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_FC53E92B-32FE-4DE3-B77D-BE8D4364B5F8'}},\n",
       "    {'bus': {'type': 'literal', 'value': '632'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_3A63B621-3FA6-4805-96F9-DD57A7F88ACF'}},\n",
       "    {'bus': {'type': 'literal', 'value': '632'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_3A63B621-3FA6-4805-96F9-DD57A7F88ACF'}},\n",
       "    {'bus': {'type': 'literal', 'value': '632'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_3D3B02A5-E9D5-45F0-9506-22B098EDA261'}},\n",
       "    {'bus': {'type': 'literal', 'value': '632'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_3D3B02A5-E9D5-45F0-9506-22B098EDA261'}},\n",
       "    {'bus': {'type': 'literal', 'value': '632'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_5DEC8E61-DFE8-4506-BD5A-5CBCBB6532EE'}},\n",
       "    {'bus': {'type': 'literal', 'value': '632'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_5DEC8E61-DFE8-4506-BD5A-5CBCBB6532EE'}},\n",
       "    {'bus': {'type': 'literal', 'value': '632'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_E85D20C3-84EA-43F6-9D31-5239FAB00019'}},\n",
       "    {'bus': {'type': 'literal', 'value': '632'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_E85D20C3-84EA-43F6-9D31-5239FAB00019'}},\n",
       "    {'bus': {'type': 'literal', 'value': '633'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_3D3B02A5-E9D5-45F0-9506-22B098EDA261'}},\n",
       "    {'bus': {'type': 'literal', 'value': '633'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_3D3B02A5-E9D5-45F0-9506-22B098EDA261'}},\n",
       "    {'bus': {'type': 'literal', 'value': '633'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_9702BD06-90C3-40B5-9311-47FA1C2A9811'}},\n",
       "    {'bus': {'type': 'literal', 'value': '633'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_9702BD06-90C3-40B5-9311-47FA1C2A9811'}},\n",
       "    {'bus': {'type': 'literal', 'value': '634'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_34199075-733E-4B94-9EC2-50DD84C1D8D5'}},\n",
       "    {'bus': {'type': 'literal', 'value': '634'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6D30F773-D772-465C-9A4C-41624B283C2C'}},\n",
       "    {'bus': {'type': 'literal', 'value': '634'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6D30F773-D772-465C-9A4C-41624B283C2C'}},\n",
       "    {'bus': {'type': 'literal', 'value': '634'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_83FA529E-9B45-4022-BD00-3E9867EFD55D'}},\n",
       "    {'bus': {'type': 'literal', 'value': '634'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_952BE5EC-68EC-46CA-9290-6BCD9BE00A0C'}},\n",
       "    {'bus': {'type': 'literal', 'value': '634'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_E17D6B98-44E7-4746-8605-BF75E6AC6277'}},\n",
       "    {'bus': {'type': 'literal', 'value': '634'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_FC973B3E-2AC2-4C61-804D-6CF40FFF3CC0'}},\n",
       "    {'bus': {'type': 'literal', 'value': '645'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_7DB84AEE-89EE-4C77-BEFA-E58CB10FADA1'}},\n",
       "    {'bus': {'type': 'literal', 'value': '645'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_89C21411-D107-454A-93B0-0905893DD27D'}},\n",
       "    {'bus': {'type': 'literal', 'value': '645'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_89C21411-D107-454A-93B0-0905893DD27D'}},\n",
       "    {'bus': {'type': 'literal', 'value': '645'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_E85D20C3-84EA-43F6-9D31-5239FAB00019'}},\n",
       "    {'bus': {'type': 'literal', 'value': '645'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_E85D20C3-84EA-43F6-9D31-5239FAB00019'}},\n",
       "    {'bus': {'type': 'literal', 'value': '646'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_89C21411-D107-454A-93B0-0905893DD27D'}},\n",
       "    {'bus': {'type': 'literal', 'value': '646'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_89C21411-D107-454A-93B0-0905893DD27D'}},\n",
       "    {'bus': {'type': 'literal', 'value': '646'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_9E735173-F2E5-408C-8279-54ED0D3BBDD1'}},\n",
       "    {'bus': {'type': 'literal', 'value': '650'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_085BBE1F-FF95-4260-A9D2-8D2F1A8EA9A3'}},\n",
       "    {'bus': {'type': 'literal', 'value': '650'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_085BBE1F-FF95-4260-A9D2-8D2F1A8EA9A3'}},\n",
       "    {'bus': {'type': 'literal', 'value': '650'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6CE06D43-8DE4-4C72-B059-F71EAE02DDDD'}},\n",
       "    {'bus': {'type': 'literal', 'value': '650'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6CE06D43-8DE4-4C72-B059-F71EAE02DDDD'}},\n",
       "    {'bus': {'type': 'literal', 'value': '650'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6CE06D43-8DE4-4C72-B059-F71EAE02DDDD'}},\n",
       "    {'bus': {'type': 'literal', 'value': '650z'},\n",
       "     'seq': {'type': 'literal', 'value': '3'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6CE06D43-8DE4-4C72-B059-F71EAE02DDDD'}},\n",
       "    {'bus': {'type': 'literal', 'value': '650z'},\n",
       "     'seq': {'type': 'literal', 'value': '3'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6CE06D43-8DE4-4C72-B059-F71EAE02DDDD'}},\n",
       "    {'bus': {'type': 'literal', 'value': '650z'},\n",
       "     'seq': {'type': 'literal', 'value': '3'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6CE06D43-8DE4-4C72-B059-F71EAE02DDDD'}},\n",
       "    {'bus': {'type': 'literal', 'value': '652'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_8515F6BA-7A0F-424B-AF83-F41950CE8FD6'}},\n",
       "    {'bus': {'type': 'literal', 'value': '652'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_CF03D366-44AC-4088-B698-D42F4E39D8C4'}},\n",
       "    {'bus': {'type': 'literal', 'value': '652'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_CF03D366-44AC-4088-B698-D42F4E39D8C4'}},\n",
       "    {'bus': {'type': 'literal', 'value': '670'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_216C1943-900F-4939-92FE-A3A4817363D8'}},\n",
       "    {'bus': {'type': 'literal', 'value': '670'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_216C1943-900F-4939-92FE-A3A4817363D8'}},\n",
       "    {'bus': {'type': 'literal', 'value': '670'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_AB09CC43-A30F-48C3-B55B-0558CE61C579'}},\n",
       "    {'bus': {'type': 'literal', 'value': '670'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_AB09CC43-A30F-48C3-B55B-0558CE61C579'}},\n",
       "    {'bus': {'type': 'literal', 'value': '670'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_AB09CC43-A30F-48C3-B55B-0558CE61C579'}},\n",
       "    {'bus': {'type': 'literal', 'value': '670'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_BE71BF98-CD79-4A6D-804B-6729A6EB8020'}},\n",
       "    {'bus': {'type': 'literal', 'value': '670'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_BE71BF98-CD79-4A6D-804B-6729A6EB8020'}},\n",
       "    {'bus': {'type': 'literal', 'value': '670'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_D6E129D9-385E-46D5-B6D3-81ECB2D2BE17'}},\n",
       "    {'bus': {'type': 'literal', 'value': '670'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_F75309B4-3341-4B2F-B55A-3B93C934CC3F'}},\n",
       "    {'bus': {'type': 'literal', 'value': '670'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_FAD8DFE7-AB35-4DC5-B9EC-63F15CE2BE92'}},\n",
       "    {'bus': {'type': 'literal', 'value': '671'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_58246081-FEDB-4DE7-8173-C408CFE3803E'}},\n",
       "    {'bus': {'type': 'literal', 'value': '671'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_58246081-FEDB-4DE7-8173-C408CFE3803E'}},\n",
       "    {'bus': {'type': 'literal', 'value': '671'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6E6EDB91-07A8-46E9-BDC5-733EAB0552F7'}},\n",
       "    {'bus': {'type': 'literal', 'value': '671'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6E6EDB91-07A8-46E9-BDC5-733EAB0552F7'}},\n",
       "    {'bus': {'type': 'literal', 'value': '671'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_7522F97F-CF73-4B94-BD26-B5E4E7B3AC04'}},\n",
       "    {'bus': {'type': 'literal', 'value': '671'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_7522F97F-CF73-4B94-BD26-B5E4E7B3AC04'}},\n",
       "    {'bus': {'type': 'literal', 'value': '671'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_A1B4F004-D48C-43A3-8DE8-E22CF6FB28AD'}},\n",
       "    {'bus': {'type': 'literal', 'value': '671'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_BE71BF98-CD79-4A6D-804B-6729A6EB8020'}},\n",
       "    {'bus': {'type': 'literal', 'value': '671'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_BE71BF98-CD79-4A6D-804B-6729A6EB8020'}},\n",
       "    {'bus': {'type': 'literal', 'value': '675'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_5F4F5E06-9447-448B-8DE4-F4E22AA34576'}},\n",
       "    {'bus': {'type': 'literal', 'value': '675'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_62A249A4-4BF9-42BB-9E0A-06D132216D9A'}},\n",
       "    {'bus': {'type': 'literal', 'value': '675'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_68234FFD-2C36-4D95-9E00-74CEB6ED0995'}},\n",
       "    {'bus': {'type': 'literal', 'value': '675'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_EA84B9C8-A620-487E-89E7-A55984E71968'}},\n",
       "    {'bus': {'type': 'literal', 'value': '675'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_F302E764-FCD7-41AF-903E-42A4F0045EEF'}},\n",
       "    {'bus': {'type': 'literal', 'value': '675'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_F302E764-FCD7-41AF-903E-42A4F0045EEF'}},\n",
       "    {'bus': {'type': 'literal', 'value': '680'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6E6EDB91-07A8-46E9-BDC5-733EAB0552F7'}},\n",
       "    {'bus': {'type': 'literal', 'value': '680'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6E6EDB91-07A8-46E9-BDC5-733EAB0552F7'}},\n",
       "    {'bus': {'type': 'literal', 'value': '684'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_58246081-FEDB-4DE7-8173-C408CFE3803E'}},\n",
       "    {'bus': {'type': 'literal', 'value': '684'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_58246081-FEDB-4DE7-8173-C408CFE3803E'}},\n",
       "    {'bus': {'type': 'literal', 'value': '684'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_CF03D366-44AC-4088-B698-D42F4E39D8C4'}},\n",
       "    {'bus': {'type': 'literal', 'value': '684'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_CF03D366-44AC-4088-B698-D42F4E39D8C4'}},\n",
       "    {'bus': {'type': 'literal', 'value': '684'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_DC47C3ED-EF6A-4D32-916E-36D33DD338FC'}},\n",
       "    {'bus': {'type': 'literal', 'value': '684'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_DC47C3ED-EF6A-4D32-916E-36D33DD338FC'}},\n",
       "    {'bus': {'type': 'literal', 'value': '692'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_0A390CC2-AFE7-477C-8D42-63EE609F842B'}},\n",
       "    {'bus': {'type': 'literal', 'value': '692'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_7522F97F-CF73-4B94-BD26-B5E4E7B3AC04'}},\n",
       "    {'bus': {'type': 'literal', 'value': '692'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_7522F97F-CF73-4B94-BD26-B5E4E7B3AC04'}},\n",
       "    {'bus': {'type': 'literal', 'value': '692'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_F302E764-FCD7-41AF-903E-42A4F0045EEF'}},\n",
       "    {'bus': {'type': 'literal', 'value': '692'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_F302E764-FCD7-41AF-903E-42A4F0045EEF'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'brkr'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_085BBE1F-FF95-4260-A9D2-8D2F1A8EA9A3'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'brkr'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_085BBE1F-FF95-4260-A9D2-8D2F1A8EA9A3'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'brkr'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_16F0DA5A-A603-45D1-B14B-DA3EFF209FD3'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'brkr'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_16F0DA5A-A603-45D1-B14B-DA3EFF209FD3'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'brkr'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_16F0DA5A-A603-45D1-B14B-DA3EFF209FD3'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'brkr'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_16F0DA5A-A603-45D1-B14B-DA3EFF209FD3'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'brkr'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_16F0DA5A-A603-45D1-B14B-DA3EFF209FD3'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'brkr'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_16F0DA5A-A603-45D1-B14B-DA3EFF209FD3'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'house'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_0C4D68BF-AC73-45C8-B2BD-FF3BFBCD20E1'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'house'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_0F434724-42D6-4F82-855E-0BE55C717FF0'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'house'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_AB09CC43-A30F-48C3-B55B-0558CE61C579'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'house'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_AB09CC43-A30F-48C3-B55B-0558CE61C579'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'house'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_AB09CC43-A30F-48C3-B55B-0558CE61C579'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'house'},\n",
       "     'seq': {'type': 'literal', 'value': '3'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_AB09CC43-A30F-48C3-B55B-0558CE61C579'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'house'},\n",
       "     'seq': {'type': 'literal', 'value': '3'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_AB09CC43-A30F-48C3-B55B-0558CE61C579'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'house'},\n",
       "     'seq': {'type': 'literal', 'value': '3'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_AB09CC43-A30F-48C3-B55B-0558CE61C579'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'house'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_EF80FC47-029B-401F-9E63-45BE7AB0530B'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'mid'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_216C1943-900F-4939-92FE-A3A4817363D8'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'mid'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_216C1943-900F-4939-92FE-A3A4817363D8'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'mid'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_5DEC8E61-DFE8-4506-BD5A-5CBCBB6532EE'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'mid'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_5DEC8E61-DFE8-4506-BD5A-5CBCBB6532EE'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'rg60'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_16F0DA5A-A603-45D1-B14B-DA3EFF209FD3'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'rg60'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_16F0DA5A-A603-45D1-B14B-DA3EFF209FD3'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'rg60'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_16F0DA5A-A603-45D1-B14B-DA3EFF209FD3'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'rg60'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_16F0DA5A-A603-45D1-B14B-DA3EFF209FD3'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'rg60'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_16F0DA5A-A603-45D1-B14B-DA3EFF209FD3'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'rg60'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_16F0DA5A-A603-45D1-B14B-DA3EFF209FD3'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'rg60'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_3A63B621-3FA6-4805-96F9-DD57A7F88ACF'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'rg60'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_3A63B621-3FA6-4805-96F9-DD57A7F88ACF'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'sourcebus'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_3818472D-6569-4901-849F-D5A68F6CDC24'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'sourcebus'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6CE06D43-8DE4-4C72-B059-F71EAE02DDDD'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'sourcebus'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6CE06D43-8DE4-4C72-B059-F71EAE02DDDD'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'sourcebus'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6CE06D43-8DE4-4C72-B059-F71EAE02DDDD'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'tap'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_5A4B421C-35AA-45FA-B364-43236D22BCEE'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'tap'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_5A4B421C-35AA-45FA-B364-43236D22BCEE'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'tap'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_DC47C3ED-EF6A-4D32-916E-36D33DD338FC'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'tap'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_DC47C3ED-EF6A-4D32-916E-36D33DD338FC'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'xf1'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6D30F773-D772-465C-9A4C-41624B283C2C'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'xf1'},\n",
       "     'seq': {'type': 'literal', 'value': '1'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_6D30F773-D772-465C-9A4C-41624B283C2C'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'xf1'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_9702BD06-90C3-40B5-9311-47FA1C2A9811'}},\n",
       "    {'bus': {'type': 'literal', 'value': 'xf1'},\n",
       "     'seq': {'type': 'literal', 'value': '2'},\n",
       "     'locid': {'type': 'literal',\n",
       "      'value': '_9702BD06-90C3-40B5-9311-47FA1C2A9811'}}]}},\n",
       " 'responseComplete': True,\n",
       " 'id': '789213318'}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Preview API call output for the query on the IEEE 13 node model\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## List all the connectivity nodes by feeder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "# list all the connectivity nodes by feeder\n",
    "PREFIX r:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c:  <http://iec.ch/TC57/CIM100#>\n",
    "SELECT ?feeder ?name WHERE {\n",
    " VALUES ?fdrid {\"%s\"}  # inserts model_mrid\n",
    " ?fdr c:IdentifiedObject.mRID ?fdrid.\n",
    " ?s c:ConnectivityNode.ConnectivityNodeContainer ?fdr.\n",
    " ?s r:type c:ConnectivityNode.\n",
    " ?s c:IdentifiedObject.name ?name.\n",
    " ?fdr c:IdentifiedObject.name ?feeder.\n",
    "}\n",
    "ORDER by ?feeder ?name\n",
    "\"\"\" % model_mrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preview API call output for the query on the IEEE 13 node model\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## List all the connectivity nodes by feeder, with voltage limits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = '''\n",
    "PREFIX r:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c:  <http://iec.ch/TC57/CIM100#>\n",
    "SELECT ?feeder ?bus ?cnid ?val ?dur ?dir WHERE {\n",
    "VALUES ?fdrid {\"%s\"}  # inserts model_mrid\n",
    " ?fdr c:IdentifiedObject.mRID ?fdrid.\n",
    " ?s c:ConnectivityNode.ConnectivityNodeContainer ?fdr.\n",
    " ?s r:type c:ConnectivityNode.\n",
    " ?s c:IdentifiedObject.name ?bus.\n",
    " ?s c:IdentifiedObject.mRID ?cnid.\n",
    " ?fdr c:IdentifiedObject.name ?feeder.\n",
    " ?s c:ConnectivityNode.OperationalLimitSet ?ols.\n",
    " ?vlim c:OperationalLimit.OperationalLimitSet ?ols.\n",
    " ?vlim r:type c:VoltageLimit.\n",
    " ?vlim c:OperationalLimit.OperationalLimitType ?olt.\n",
    " ?olt c:OperationalLimitType.acceptableDuration ?dur.\n",
    " ?olt c:OperationalLimitType.direction ?rawdir.\n",
    "  bind(strafter(str(?rawdir),\"OperationalLimitDirectionKind.\") as ?dir)\n",
    " ?vlim c:VoltageLimit.value ?val.\n",
    "}\n",
    "ORDER by ?feeder ?bus ?val\n",
    "''' % model_mrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preview API call output for the query on the IEEE 13 node model\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.2. List all the connectivity node base voltages by feeder, for sensor service\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "PREFIX r:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c:  <http://iec.ch/TC57/CIM100#>\n",
    "SELECT DISTINCT ?feeder ?busname ?cnid ?nomv WHERE {\n",
    " VALUES ?fdrid {\"%s\"}  # inserts model_mrid\n",
    " ?fdr c:IdentifiedObject.mRID ?fdrid.\n",
    " ?bus c:ConnectivityNode.ConnectivityNodeContainer ?fdr.\n",
    " ?bus r:type c:ConnectivityNode.\n",
    " ?bus c:IdentifiedObject.name ?busname.\n",
    " ?bus c:IdentifiedObject.mRID ?cnid.\n",
    " ?fdr c:IdentifiedObject.name ?feeder.\n",
    " ?trm c:Terminal.ConnectivityNode ?bus.\n",
    " ?trm c:Terminal.ConductingEquipment ?ce.\n",
    " ?ce  c:ConductingEquipment.BaseVoltage ?bv.\n",
    " ?bv  c:BaseVoltage.nominalVoltage ?nomv.\n",
    "}\n",
    "ORDER by ?feeder ?busname ?nomv\n",
    "\"\"\" % model_mrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preview API call output for the query on the IEEE 13 node model\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## List all the connectivity node base voltages by feeder, for visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "# list all the connectivity node base voltages by feeder, for visualization\n",
    "PREFIX r:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c:  <http://iec.ch/TC57/CIM100#>\n",
    "SELECT DISTINCT ?feeder ?busname ?nomv WHERE {\n",
    " VALUES ?fdrid {\"%s\"}  # inserts model_mrid\n",
    " ?fdr c:IdentifiedObject.mRID ?fdrid.\n",
    " ?bus c:ConnectivityNode.ConnectivityNodeContainer ?fdr.\n",
    " ?bus r:type c:ConnectivityNode.\n",
    " ?bus c:IdentifiedObject.name ?busname.\n",
    " ?fdr c:IdentifiedObject.name ?feeder.\n",
    " ?trm c:Terminal.ConnectivityNode ?bus.\n",
    " ?trm c:Terminal.ConductingEquipment ?ce.\n",
    " ?ce  c:ConductingEquipment.BaseVoltage ?bv.\n",
    " ?bv  c:BaseVoltage.nominalVoltage ?nomv.\n",
    "}\n",
    "ORDER by ?feeder ?busname ?nomv\n",
    "\"\"\" % model_mrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preview API call output for the query on the IEEE 13 node model\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Querying for Switching Equipment\n",
    "\n",
    "The sample queries below present the most commonly needed queries for power system model information related to switching objects. \n",
    "\n",
    "The models currently stored in GridAPPS-D only use the _LoadBreakSwitch_ object for switching objects, so queries for other classes of switching objects are commented out in the sample code blocks below.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fuse, Breaker, Recloser, LoadBreakSwitch, Sectionaliser\n",
    "\n",
    "This query features several different types of distribution switches available within CIM XML. The models currently stored in GridAPPS-D only use the _LoadBreakSwitch_ object for switching objects, so the other queries are commented out in this sample code block.\n",
    "\n",
    "Note: the sectionalizer object will be supported in a future release."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "PREFIX r:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c:  <http://iec.ch/TC57/CIM100#>\n",
    "SELECT ?name ?basev ?open ?continuous ?breaking ?fdrid (group_concat(distinct ?bus;separator=\"\\n\") as ?buses) (group_concat(distinct ?phs;separator=\"\\n\") as ?phases) WHERE {\n",
    " # ?s r:type c:Sectionaliser.\n",
    " # ?s r:type c:Disconnector.\n",
    " # ?s r:type c:Fuse.\n",
    " # ?s r:type c:Recloser.\n",
    " # ?s r:type c:Breaker.\n",
    " ?s r:type c:LoadBreakSwitch.\n",
    " ?s c:Equipment.EquipmentContainer ?fdr.\n",
    " ?fdr c:IdentifiedObject.mRID ?fdrid.\n",
    " ?s c:IdentifiedObject.name ?name.\n",
    " ?s c:ConductingEquipment.BaseVoltage ?bv.\n",
    " ?bv c:BaseVoltage.nominalVoltage ?basev.\n",
    " ?s c:Switch.normalOpen ?open.\n",
    " ?s c:Switch.ratedCurrent ?continuous.\n",
    " OPTIONAL {?s c:ProtectedSwitch.breakingCapacity ?breaking.}\n",
    " ?t c:Terminal.ConductingEquipment ?s.\n",
    " ?t c:Terminal.ConnectivityNode ?cn. \n",
    " ?cn c:IdentifiedObject.name ?bus\n",
    " OPTIONAL {?swp c:SwitchPhase.Switch ?s.\n",
    " ?swp c:SwitchPhase.phaseSide1 ?phsraw.\n",
    "   bind(strafter(str(?phsraw),\"SinglePhaseKind.\") as ?phs) }\n",
    "}\n",
    "GROUP BY ?name ?basev ?open ?continuous ?breaking ?fdrid\n",
    "ORDER BY ?name\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preview API call output for the query on the IEEE 13 node model\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = '''\n",
    "# Storage - DistStorage\n",
    "PREFIX r:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c:  <http://iec.ch/TC57/CIM100#>\n",
    "SELECT ?name ?bus ?ratedS ?ratedU ?ipu ?ratedE ?storedE ?state ?p ?q ?id ?fdrid (group_concat(distinct ?phs;separator=\"\\\\n\") as ?phases) WHERE {\n",
    " ?s r:type c:BatteryUnit.\n",
    " ?s c:IdentifiedObject.name ?name.\n",
    " ?pec c:PowerElectronicsConnection.PowerElectronicsUnit ?s.\n",
    "# feeder selection options - if all commented out, query matches all feeders\n",
    "#VALUES ?fdrid {\"_C1C3E687-6FFD-C753-582B-632A27E28507\"}  # 123 bus\n",
    "#VALUES ?fdrid {\"_49AD8E07-3BF9-A4E2-CB8F-C3722F837B62\"}  # 13 bus\n",
    "#VALUES ?fdrid {\"_5B816B93-7A5F-B64C-8460-47C17D6E4B0F\"}  # 13 bus assets\n",
    "#VALUES ?fdrid {\"_4F76A5F9-271D-9EB8-5E31-AA362D86F2C3\"}  # 8500 node\n",
    "#VALUES ?fdrid {\"_67AB291F-DCCD-31B7-B499-338206B9828F\"}  # J1\n",
    "#VALUES ?fdrid {\"_9CE150A8-8CC5-A0F9-B67E-BBD8C79D3095\"}  # R2 12.47 3\n",
    " ?pec c:Equipment.EquipmentContainer ?fdr.\n",
    " ?fdr c:IdentifiedObject.mRID ?fdrid.\n",
    " ?pec c:PowerElectronicsConnection.ratedS ?ratedS.\n",
    " ?pec c:PowerElectronicsConnection.ratedU ?ratedU.\n",
    " ?pec c:PowerElectronicsConnection.maxIFault ?ipu.\n",
    " ?s c:BatteryUnit.ratedE ?ratedE.\n",
    " ?s c:BatteryUnit.storedE ?storedE.\n",
    " ?s c:BatteryUnit.batteryState ?stateraw.\n",
    "   bind(strafter(str(?stateraw),\"BatteryState.\") as ?state)\n",
    " ?pec c:PowerElectronicsConnection.p ?p.\n",
    " ?pec c:PowerElectronicsConnection.q ?q. \n",
    " OPTIONAL {?pecp c:PowerElectronicsConnectionPhase.PowerElectronicsConnection ?pec.\n",
    " ?pecp c:PowerElectronicsConnectionPhase.phase ?phsraw.\n",
    "   bind(strafter(str(?phsraw),\"SinglePhaseKind.\") as ?phs) }\n",
    " bind(strafter(str(?s),\"#_\") as ?id).\n",
    " ?t c:Terminal.ConductingEquipment ?pec.\n",
    " ?t c:Terminal.ConnectivityNode ?cn. \n",
    " ?cn c:IdentifiedObject.name ?bus\n",
    "}\n",
    "GROUP by ?name ?bus ?ratedS ?ratedU ?ipu ?ratedE ?storedE ?state ?p ?q ?id ?fdrid\n",
    "ORDER by ?name\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preview API call output for the query on the IEEE 13 node model\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SynchronousMachine - DistSyncMachine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "# SynchronousMachine - DistSyncMachine\n",
    "PREFIX r:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c:  <http://iec.ch/TC57/CIM100#>\n",
    "SELECT ?name ?bus (group_concat(distinct ?phs;separator=\"\\\\n\") as ?phases) ?ratedS ?ratedU ?p ?q ?id ?fdrid WHERE {\n",
    " VALUES ?fdrid {\"%s\"}  # inserts model_mrid\n",
    " ?s r:type c:SynchronousMachine.\n",
    " ?s c:IdentifiedObject.name ?name.\n",
    " ?s c:Equipment.EquipmentContainer ?fdr.\n",
    " ?fdr c:IdentifiedObject.mRID ?fdrid.\n",
    " ?s c:SynchronousMachine.ratedS ?ratedS.\n",
    " ?s c:SynchronousMachine.ratedU ?ratedU.\n",
    " ?s c:SynchronousMachine.p ?p.\n",
    " ?s c:SynchronousMachine.q ?q. \n",
    " bind(strafter(str(?s),\"#_\") as ?id).\n",
    " OPTIONAL {?smp c:SynchronousMachinePhase.SynchronousMachine ?s.\n",
    " ?smp c:SynchronousMachinePhase.phase ?phsraw.\n",
    "   bind(strafter(str(?phsraw),\"SinglePhaseKind.\") as ?phs) }\n",
    " ?t c:Terminal.ConductingEquipment ?s.\n",
    " ?t c:Terminal.ConnectivityNode ?cn. \n",
    " ?cn c:IdentifiedObject.name ?bus\n",
    "}\n",
    "GROUP by ?name ?bus ?ratedS ?ratedU ?p ?q ?id ?fdrid\n",
    "ORDER by ?name\n",
    "\"\"\" % model_mrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preview API call output for the query on the IEEE 13 node model\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "# Solar - DistSolar\n",
    "PREFIX r:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c:  <http://iec.ch/TC57/CIM100#>\n",
    "SELECT ?name ?bus ?ratedS ?ratedU ?ipu ?p ?q ?fdrid (group_concat(distinct ?phs;separator=\"\\\\n\") as ?phases) WHERE {\n",
    " ?s r:type c:PhotovoltaicUnit.\n",
    " ?s c:IdentifiedObject.name ?name.\n",
    " ?pec c:PowerElectronicsConnection.PowerElectronicsUnit ?s.\n",
    "# feeder selection options - if all commented out, query matches all feeders\n",
    "#VALUES ?fdrid {\"_C1C3E687-6FFD-C753-582B-632A27E28507\"}  # 123 bus\n",
    "#VALUES ?fdrid {\"_49AD8E07-3BF9-A4E2-CB8F-C3722F837B62\"}  # 13 bus\n",
    "#VALUES ?fdrid {\"_5B816B93-7A5F-B64C-8460-47C17D6E4B0F\"}  # 13 bus assets\n",
    "#VALUES ?fdrid {\"_4F76A5F9-271D-9EB8-5E31-AA362D86F2C3\"}  # 8500 node\n",
    "#VALUES ?fdrid {\"_67AB291F-DCCD-31B7-B499-338206B9828F\"}  # J1\n",
    "#VALUES ?fdrid {\"_9CE150A8-8CC5-A0F9-B67E-BBD8C79D3095\"}  # R2 12.47 3\n",
    " ?pec c:Equipment.EquipmentContainer ?fdr.\n",
    " ?fdr c:IdentifiedObject.mRID ?fdrid.\n",
    " ?pec c:PowerElectronicsConnection.ratedS ?ratedS.\n",
    " ?pec c:PowerElectronicsConnection.ratedU ?ratedU.\n",
    " ?pec c:PowerElectronicsConnection.maxIFault ?ipu.\n",
    " ?pec c:PowerElectronicsConnection.p ?p.\n",
    " ?pec c:PowerElectronicsConnection.q ?q.\n",
    " OPTIONAL {?pecp c:PowerElectronicsConnectionPhase.PowerElectronicsConnection ?pec.\n",
    " ?pecp c:PowerElectronicsConnectionPhase.phase ?phsraw.\n",
    "   bind(strafter(str(?phsraw),\"SinglePhaseKind.\") as ?phs) }\n",
    " ?t c:Terminal.ConductingEquipment ?pec.\n",
    " ?t c:Terminal.ConnectivityNode ?cn. \n",
    " ?cn c:IdentifiedObject.name ?bus\n",
    "}\n",
    "GROUP by ?name ?bus ?ratedS ?ratedU ?ipu ?p ?q ?fdrid\n",
    "ORDER by ?name\n",
    "\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preview API call output for the query on the IEEE 13 node model\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "# list houses - DistHouse\n",
    "PREFIX r:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c:  <http://iec.ch/TC57/CIM100#>\n",
    "SELECT ?fdrname ?name ?parent ?coolingSetpoint ?coolingSystem ?floorArea ?heatingSetpoint ?heatingSystem ?hvacPowerFactor ?numberOfStories ?thermalIntegrity ?id ?fdrid \n",
    "WHERE { \n",
    "   VALUES ?fdrid {\"%s\"}  # inserts model_mrid\n",
    "   ?h r:type c:House.\n",
    "   ?h c:IdentifiedObject.name ?name.\n",
    "   ?h c:IdentifiedObject.mRID ?id.\n",
    "   ?h c:House.floorArea ?floorArea.\n",
    "   ?h c:House.numberOfStories ?numberOfStories.\n",
    "   OPTIONAL{?h c:House.coolingSetpoint ?coolingSetpoint.}\n",
    "   OPTIONAL{?h c:House.heatingSetpoint ?heatingSetpoint.}\n",
    "   OPTIONAL{?h c:House.hvacPowerFactor ?hvacPowerFactor.}\n",
    "   ?h c:House.coolingSystem ?coolingSystemRaw.\n",
    "   \tbind(strafter(str(?coolingSystemRaw),\"HouseCooling.\") as ?coolingSystem) \n",
    "   ?h c:House.heatingSystem ?heatingSystemRaw.\n",
    "   \tbind(strafter(str(?heatingSystemRaw),\"HouseHeating.\") as ?heatingSystem)\n",
    "   ?h c:House.thermalIntegrity ?thermalIntegrityRaw.\n",
    "   \tbind(strafter(str(?thermalIntegrityRaw),\"HouseThermalIntegrity.\") as ?thermalIntegrity)\n",
    "   ?h c:House.EnergyConsumer ?econ.\n",
    "   ?econ c:IdentifiedObject.name ?parent.\n",
    "   ?fdr c:IdentifiedObject.mRID ?fdrid.\n",
    "   ?fdr c:IdentifiedObject.name ?fdrname.\n",
    "   ?econ c:Equipment.EquipmentContainer ?fdr.\n",
    "} \n",
    "ORDER BY ?fdrname ?name\n",
    "\"\"\" % model_mrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preview API call output for the query on the IEEE 13 node model\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Querying for measurements\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## List all measurements, with buses and equipments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "# list all measurements, with buses and equipments\n",
    "PREFIX r: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c: <http://iec.ch/TC57/CIM100#>\n",
    "SELECT ?class ?type ?name ?bus ?phases ?eqtype ?eqname ?eqid ?trmid ?id WHERE {\n",
    " VALUES ?fdrid {\"%s\"}  # inserts model_mrid\n",
    " ?eq c:Equipment.EquipmentContainer ?fdr.\n",
    " ?fdr c:IdentifiedObject.mRID ?fdrid. \n",
    "{ ?s r:type c:Discrete. bind (\"Discrete\" as ?class)}\n",
    "  UNION\n",
    "{ ?s r:type c:Analog. bind (\"Analog\" as ?class)}\n",
    " ?s c:IdentifiedObject.name ?name .\n",
    " ?s c:IdentifiedObject.mRID ?id .\n",
    " ?s c:Measurement.PowerSystemResource ?eq .\n",
    " ?s c:Measurement.Terminal ?trm .\n",
    " ?s c:Measurement.measurementType ?type .\n",
    " ?trm c:IdentifiedObject.mRID ?trmid.\n",
    " ?eq c:IdentifiedObject.mRID ?eqid.\n",
    " ?eq c:IdentifiedObject.name ?eqname.\n",
    " ?eq r:type ?typeraw.\n",
    "  bind(strafter(str(?typeraw),\"#\") as ?eqtype)\n",
    " ?trm c:Terminal.ConnectivityNode ?cn.\n",
    " ?cn c:IdentifiedObject.name ?bus.\n",
    " ?s c:Measurement.phases ?phsraw .\n",
    "   {bind(strafter(str(?phsraw),\"PhaseCode.\") as ?phases)}\n",
    "} \n",
    "ORDER BY ?class ?type ?name\n",
    "\"\"\" % model_mrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preview API call output for the query on the IEEE 13 node model\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## List measurement points for PowerTransformer with no tanks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "# list measurement points for PowerTransformer with no tanks\n",
    "PREFIX r: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c: <http://iec.ch/TC57/CIM100#>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "SELECT ?name ?wnum ?bus ?eqid ?trmid WHERE { \n",
    " VALUES ?fdrid {\"%s\"}  # inserts model_mrid\n",
    " ?s c:Equipment.EquipmentContainer ?fdr.\n",
    " ?fdr c:IdentifiedObject.mRID ?fdrid. \n",
    " ?s r:type c:PowerTransformer.\n",
    " ?s c:IdentifiedObject.name ?name.\n",
    " ?s c:IdentifiedObject.mRID ?eqid.\n",
    " ?end c:PowerTransformerEnd.PowerTransformer ?s.\n",
    " ?end c:TransformerEnd.Terminal ?trm.\n",
    " ?end c:TransformerEnd.endNumber ?wnum.\n",
    " ?trm c:IdentifiedObject.mRID ?trmid. \n",
    " ?trm c:Terminal.ConnectivityNode ?cn. \n",
    " ?cn c:IdentifiedObject.name ?bus.\n",
    "}\n",
    "ORDER BY ?name ?wnum\n",
    "\"\"\" % model_mrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preview API call output for the query on the IEEE 13 node model\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## List measurement points for Breakers, Reclosers, LoadBreakSwitches in a selected feeder\n",
    "\n",
    "This query obtains "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "PREFIX r:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c:  <http://iec.ch/TC57/CIM100#>\n",
    "SELECT ?cimtype ?name ?bus1 ?bus2 ?id (group_concat(distinct ?phs;separator=\"\") as ?phases) WHERE {\n",
    "SELECT ?cimtype ?name ?bus1 ?bus2 ?phs ?id WHERE {\n",
    " VALUES ?fdrid {\"%s\"}  # inserts model_mrid\n",
    " VALUES ?cimraw {c:LoadBreakSwitch c:Recloser c:Breaker}\n",
    " ?fdr c:IdentifiedObject.mRID ?fdrid.\n",
    " ?s r:type ?cimraw.\n",
    "  bind(strafter(str(?cimraw),\"#\") as ?cimtype)\n",
    " ?s c:Equipment.EquipmentContainer ?fdr.\n",
    " ?s c:IdentifiedObject.name ?name.\n",
    " ?s c:IdentifiedObject.mRID ?id.\n",
    " ?t1 c:Terminal.ConductingEquipment ?s.\n",
    " ?t1 c:ACDCTerminal.sequenceNumber \"1\".\n",
    " ?t1 c:Terminal.ConnectivityNode ?cn1. \n",
    " ?cn1 c:IdentifiedObject.name ?bus1.\n",
    " ?t2 c:Terminal.ConductingEquipment ?s.\n",
    " ?t2 c:ACDCTerminal.sequenceNumber \"2\".\n",
    " ?t2 c:Terminal.ConnectivityNode ?cn2. \n",
    " ?cn2 c:IdentifiedObject.name ?bus2\n",
    " OPTIONAL {?swp c:SwitchPhase.Switch ?s.\n",
    " ?swp c:SwitchPhase.phaseSide1 ?phsraw.\n",
    "   bind(strafter(str(?phsraw),\"SinglePhaseKind.\") as ?phs) }\n",
    " } ORDER BY ?name ?phs\n",
    "}\n",
    "GROUP BY ?cimtype ?name ?bus1 ?bus2 ?id\n",
    "ORDER BY ?cimtype ?name\n",
    "\"\"\" % model_mrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preview API call output for the query on the IEEE 13 node model\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## List measurement points for PowerElectronicsConnection with BatteryUnit in a selected feeder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "# list measurement points for PowerElectronicsConnection with BatteryUnit in a selected feeder\n",
    "PREFIX r:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c:  <http://iec.ch/TC57/CIM100#>\n",
    "SELECT ?name ?uname ?bus ?id (group_concat(distinct ?phs;separator=\"\") as ?phases) WHERE {\n",
    "  SELECT ?name ?uname ?bus ?phs ?id WHERE {\n",
    " VALUES ?fdrid {\"%s\"}  # inserts model_mrid\n",
    " ?fdr c:IdentifiedObject.mRID ?fdrid.\n",
    " ?s r:type c:PowerElectronicsConnection.\n",
    " ?s c:Equipment.EquipmentContainer ?fdr.\n",
    " ?s c:IdentifiedObject.name ?name.\n",
    " ?s c:IdentifiedObject.mRID ?id.\n",
    " ?peu r:type c:BatteryUnit.\n",
    " ?peu c:IdentifiedObject.name ?uname.\n",
    " ?s c:PowerElectronicsConnection.PowerElectronicsUnit ?peu.\n",
    " ?t1 c:Terminal.ConductingEquipment ?s.\n",
    " ?t1 c:ACDCTerminal.sequenceNumber \"1\".\n",
    " ?t1 c:Terminal.ConnectivityNode ?cn1. \n",
    " ?cn1 c:IdentifiedObject.name ?bus.\n",
    " OPTIONAL {?pep c:PowerElectronicsConnectionPhase.PowerElectronicsConnection ?s.\n",
    " ?pep c:PowerElectronicsConnectionPhase.phase ?phsraw.\n",
    " bind(strafter(str(?phsraw),\"SinglePhaseKind.\") as ?phs) }\n",
    " } ORDER BY ?name ?phs\n",
    "}\n",
    "GROUP BY ?name ?uname ?bus ?id\n",
    "ORDER BY ?name\n",
    "\"\"\" % model_mrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preview API call output for the query on the IEEE 13 node model\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## List measurement points for ACLineSegments in a selected feeder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "# list measurement points for ACLineSegments in a selected feeder\n",
    "PREFIX r:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX c:  <http://iec.ch/TC57/CIM100#>\n",
    "SELECT ?name ?bus1 ?bus2 ?id (group_concat(distinct ?phs;separator=\"\") as ?phases) WHERE {\n",
    "  SELECT ?name ?bus1 ?bus2 ?phs ?id WHERE {\n",
    " VALUES ?fdrid {\"%s\"}  # inserts model_mrid\n",
    " ?fdr c:IdentifiedObject.mRID ?fdrid.\n",
    " ?s r:type c:ACLineSegment.\n",
    " ?s c:Equipment.EquipmentContainer ?fdr.\n",
    " ?s c:IdentifiedObject.name ?name.\n",
    " ?s c:IdentifiedObject.mRID ?id.\n",
    " ?t1 c:Terminal.ConductingEquipment ?s.\n",
    " ?t1 c:ACDCTerminal.sequenceNumber \"1\".\n",
    " ?t1 c:Terminal.ConnectivityNode ?cn1. \n",
    " ?cn1 c:IdentifiedObject.name ?bus1.\n",
    " ?t2 c:Terminal.ConductingEquipment ?s.\n",
    " ?t2 c:ACDCTerminal.sequenceNumber \"2\".\n",
    " ?t2 c:Terminal.ConnectivityNode ?cn2. \n",
    " ?cn2 c:IdentifiedObject.name ?bus2\n",
    " OPTIONAL {?acp c:ACLineSegmentPhase.ACLineSegment ?s.\n",
    " ?acp c:ACLineSegmentPhase.phase ?phsraw.\n",
    " bind(strafter(str(?phsraw),\"SinglePhaseKind.\") as ?phs) }\n",
    " } ORDER BY ?name ?phs\n",
    "}\n",
    "GROUP BY ?name ?bus1 ?bus2 ?id\n",
    "ORDER BY ?name\n",
    "\"\"\" % model_mrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preview API call output for the query on the IEEE 13 node model\n",
    "gapps.query_data(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "# 4. Making SPARQL Queries using the STOMP Client\n",
    "\n",
    "\n",
    "Open the [GridAPPS-D Viz on localhost:8080](http://localhost:8080/) and log in.\n",
    "\n",
    "Open the menu in the top left corner and select `Stomp Client`\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "\n",
    "Change the topic to the Powergrid Model API topic: `goss.gridappsd.process.request.data.powergridmodel`\n",
    "\n",
    "Enter the SPARQL query wrapped as a JSON string, like this, and click `Send request`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```\n",
    "{\n",
    "        \"requestType\": \"QUERY\",\n",
    "        \"resultFormat\": \"JSON\",\n",
    "        \"queryString\": \"select ?feeder_name ?subregion_name ?region_name WHERE {?line r:type c:Feeder.?line c:IdentifiedObject.name  ?feeder_name.?line c:Feeder.NormalEnergizingSubstation ?substation.?substation r:type c:Substation.?substation c:Substation.Region ?subregion.?subregion  c:IdentifiedObject.name  ?subregion_name .?subregion c:SubGeographicalRegion.Region  ?region . ?region   c:IdentifiedObject.name  ?region_name}\"\n",
    "}\n",
    "```"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)\n",
    "\n",
    "The PowerGrid Model API response will be displayed in the dialogue box below."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}