appChart.js 31.8 KB
Newer Older
Pithon Kabiro's avatar
Pithon Kabiro committed
1
"use strict";
Pithon Kabiro's avatar
Pithon Kabiro committed
2

3
const BASE_URL = "http://193.196.39.91:8080/frost-icity-tp31/v1.1";
4

5
6
/**
 * Retrieve the datastream ID that corresponds to a particular building
7
8
9
 * @param {Number | String} buildingNumber Integer representing the building ID
 * @param {String} phenomenon String representing the phenomenon of interest
 * @param {String} samplingRate String representing the sampling rate of the observations
10
11
 * @returns {Number} Datastream corresponding to the input building
 */
12
const getDatastreamIdFromBuildingNumber = function (
13
14
15
16
17
18
19
20
  buildingNumber,
  phenomenon,
  samplingRate
) {
  const buildingToDatastreamMapping = {
    101: {
      vl: { "15min": "69", "60min": "75" },
      rl: { "15min": "81", "60min": "87" },
21
22
23
24
25
26

      // These Datastreams do not yet have Observations
      // flow: { "15min": "93", "60min": "99" },
      // power: { "15min": "105", "60min": "111" },
      // energy: { "15min": "117", "60min": "123" },
      // energy_verb: { "15min": "129", "60min": "135" },
27
    },
28

29
30
31
    102: {
      vl: { "15min": "70", "60min": "76" },
      rl: { "15min": "82", "60min": "88" },
32
33
34
35
36
37

      // These Datastreams do not yet have Observations
      // flow: { "15min": "94", "60min": "100" },
      // power: { "15min": "106", "60min": "112" },
      // energy: { "15min": "118", "60min": "124" },
      // energy_verb: { "15min": "130", "60min": "136" },
38
    },
39

40
41
42
    107: {
      vl: { "15min": "71", "60min": "77" },
      rl: { "15min": "83", "60min": "89" },
43
44
45
46
47
48

      // These Datastreams do not yet have Observations
      // flow: { "15min": "95", "60min": "101" },
      // power: { "15min": "107", "60min": "113" },
      // energy: { "15min": "119", "60min": "125" },
      // energy_verb: { "15min": "131", "60min": "137" },
49
    },
50

51
    "112, 118": {
52
53
      vl: { "15min": "72", "60min": "78" },
      rl: { "15min": "84", "60min": "90" },
54
55
56
57
58
59

      // These Datastreams do not yet have Observations
      // flow: { "15min": "96", "60min": "102" },
      // power: { "15min": "108", "60min": "114" },
      // energy: { "15min": "120", "60min": "126" },
      // energy_verb: { "15min": "132", "60min": "138" },
60
    },
61

62
63
64
    125: {
      vl: { "15min": "73", "60min": "79" },
      rl: { "15min": "85", "60min": "91" },
65
66
67
68
69
70

      // These Datastreams do not yet have Observations
      // flow: { "15min": "97", "60min": "103" },
      // power: { "15min": "109", "60min": "115" },
      // energy: { "15min": "121", "60min": "127" },
      // energy_verb: { "15min": "133", "60min": "139" },
71
    },
72

73
74
75
76
77
78
79
80
81
82
    225: {
      vl: { "15min": "74", "60min": "80" },
      rl: { "15min": "86", "60min": "92" },
      flow: { "15min": "98", "60min": "104" },
      power: { "15min": "110", "60min": "116" },
      energy: { "15min": "122", "60min": "128" },
      energy_verb: { "15min": "134", "60min": "140" },
    },
  };

83
84
85
86
87
88
  if (
    buildingToDatastreamMapping?.[buildingNumber]?.[phenomenon]?.[
      samplingRate
    ] === undefined
  )
    return;
89

90
91
92
93
94
95
96
  const datastreamIdMatched = Number(
    buildingToDatastreamMapping[buildingNumber][phenomenon][samplingRate]
  );

  return datastreamIdMatched;
};

97
98
99
100
101
102
/**
 * Create URL to fetch the details of single Datastream
 * @param {String} baseUrl Base URL of the STA server
 * @param {Number} datastreamID Integer representing the Datastream ID
 * @returns {String} URL string for fetching a single Datastream
 */
103
const getDatastreamUrl = function (baseUrl, datastreamID) {
104
105
106
107
108
  if (!datastreamID) return;
  const fullDatastreamURL = `${baseUrl}/Datastreams(${datastreamID})`;
  return fullDatastreamURL;
};

109
/**
110
 * Create URL to fetch Observations
111
 * @param {String} baseUrl Base URL of the STA server
112
113
 * @param {Number} datastreamID Integer representing the Datastream ID
 * @returns {String} URL string for fetching Observations
114
 */
115
const getObservationsUrl = function (baseUrl, datastreamID) {
116
  if (!datastreamID) return;
117
118
  const fullObservationsURL = `${baseUrl}/Datastreams(${datastreamID})/Observations`;
  return fullObservationsURL;
119
120
121
122
};

/**
 * Create a temporal filter string for the fetched Observations
123
124
125
 * @param {String} dateStart Start date in YYYY-MM-DD format
 * @param {String} dateStop Stop date in YYYY-MM-DD format
 * @returns {String} Temporal filter string
126
 */
127
const createTemporalFilterString = function (dateStart, dateStop) {
128
129
130
131
132
  if (!dateStart || !dateStop) return;
  const filterString = `resultTime ge ${dateStart}T00:00:00.000Z and resultTime le ${dateStop}T00:00:00.000Z`;
  return filterString;
};

133
// const BASE_URL_OBSERVATIONS = getObservationsUrl(80);
134
135
136
137
138
139
140
const QUERY_PARAM_RESULT_FORMAT = "dataArray";
const QUERY_PARAM_ORDER_BY = "phenomenonTime asc";
const QUERY_PARAM_FILTER = createTemporalFilterString(
  "2020-01-01",
  "2021-01-01"
);
const QUERY_PARAM_SELECT = "result,phenomenonTime";
141
const QUERY_PARAMS_COMBINED = {
142
143
144
145
  "$resultFormat": QUERY_PARAM_RESULT_FORMAT,
  "$orderBy": QUERY_PARAM_ORDER_BY,
  "$filter": QUERY_PARAM_FILTER,
  "$select": QUERY_PARAM_SELECT,
146
};
Pithon Kabiro's avatar
Pithon Kabiro committed
147

148
149
/**
 * Perform a GET request using the Axios library
150
 * @param {String} urlObservations A URL that fetches Observations from an STA instance
151
 * @param {Object} urlParamObj The URL parameters to be sent together with the GET request
152
 * @returns {Promise} A promise that contains the first page of results when fulfilled
153
 */
154
const axiosGetRequest = function (urlObservations, urlParamObj) {
155
156
157
158
  return axios.get(urlObservations, {
    params: urlParamObj,
  });
};
159

160
161
162
163
164
165
/**
 * Retrieve the metadata for a single datastream
 * @async
 * @param {String} urlDatastream A URL that fetches a Datastream from an STA instance
 * @returns {Promise} A promise that contains a metadata object for a Datastream when fulfilled
 */
166
const getDatastreamMetadata = async function (urlDatastream) {
167
168
169
170
171
172
173
174
  try {
    // Extract properties of interest
    const {
      data: { description, name, unitOfMeasurement },
    } = await axiosGetRequest(urlDatastream);

    return { description, name, unitOfMeasurement };
  } catch (err) {
175
    console.error(err);
176
177
178
  }
};

179
180
181
182
183
/**
 * Format the response containing a Datastream's metadata from Sensorthings API
 * @param {Object} datastreamMetadata An object containing a Datastream's metadata
 * @returns {Object} An object containing the formatted metadata that is suitable for use in a line chart or heatmap
 */
184
const formatDatastreamMetadataForChart = function (datastreamMetadata) {
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
  const {
    description: datastreamDescription,
    name: datastreamName,
    unitOfMeasurement,
  } = datastreamMetadata;

  // Extract phenomenon name from Datastream name
  const regex = /\/ (.*) DS/;
  const phenomenonName = datastreamName.match(regex)[1]; // use second element in array

  // Match the unitOfMeasurement's string representation of a symbol
  // to an actual symbol, where necessary
  const unitOfMeasurementSymbol = (() => {
    if (unitOfMeasurement.symbol === "degC") {
      return "";
    } else if (unitOfMeasurement.symbol === "m3/h") {
      return "m<sup>3</sup>/h";
    } else {
      return unitOfMeasurement.symbol;
    }
  })();

  return {
    datastreamDescription,
    datastreamName,
    phenomenonName,
    unitOfMeasurementSymbol,
  };
};

215
/**
216
 * Format the response from SensorThings API to make it suitable for heatmap
217
218
 * @param {Array} obsArray Response from SensorThings API as array
 * @returns {Array} Array of formatted observations suitable for use in a heatmap
219
 */
220
const formatSTAResponseForHeatMap = function (obsArray) {
Pithon Kabiro's avatar
Pithon Kabiro committed
221
  if (!obsArray) return;
222
223

  const dataSTAFormatted = obsArray.map((obs) => {
224
225
226
227
228
229
230
231
232
233
234
235
236
    // Get the date/time string; first element in input array; remove trailing "Z"
    const obsDateTimeInput = obs[0].slice(0, -1);
    // Get the "date" part of an observation
    const obsDateInput = obs[0].slice(0, 10);
    // Create Date objects
    const obsDateTime = new Date(obsDateTimeInput);
    const obsDate = new Date(obsDateInput);
    // x-axis -> timestamp; will be the same for observations from the same date
    const timestamp = Date.parse(obsDate);
    // y-axis -> hourOfDay
    const hourOfDay = obsDateTime.getHours();
    // value -> the observation's value; second element in input array
    const value = obs[1];
237
    return [timestamp, hourOfDay, value];
238
  });
239

240
241
242
243
244
  return dataSTAFormatted;
};

/**
 * Draw a heatmap using Highcharts library
245
 * @param {Array} formattedObsArrayForHeatmap Response from SensorThings API formatted for use in a heatmap
246
 * @param {Object} formattedDatastreamMetadata Object containing Datastream metadata
247
 * @returns {undefined} undefined
248
 */
249
const drawHeatMapHC = function (
250
  formattedObsArrayForHeatmap,
251
  formattedDatastreamMetadata
252
) {
253
254
255
256
257
258
259
  const {
    datastreamDescription: DATASTREAM_DESCRIPTION,
    datastreamName: DATASTREAM_NAME,
    phenomenonName: PHENOMENON_NAME,
    unitOfMeasurementSymbol: PHENOMENON_SYMBOL,
  } = formattedDatastreamMetadata;

Pithon Kabiro's avatar
Pithon Kabiro committed
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
  // Function returns the min and max observation values
  const {
    minObsValue: MINIMUM_VALUE_COLOR_AXIS,
    maxObsValue: MAXIMUM_VALUE_COLOR_AXIS,
  } = (() => {
    // The observation value is the third element in array
    const obsValueArr = formattedObsArrayForHeatmap.map((obs) => obs[2]);

    // Extract integer part
    const minValue = Math.trunc(Math.min(...obsValueArr));
    const maxValue = Math.trunc(Math.max(...obsValueArr));

    // Calculate the closest multiple of 5
    const minObsValue = minValue - (minValue % 5);
    const maxObsValue = maxValue + (5 - (maxValue % 5));

    return { minObsValue, maxObsValue };
  })();

279
280
281
282
283
284
285
286
287
288
289
  Highcharts.chart("chart-heatmap", {
    chart: {
      type: "heatmap",
      zoomType: "x",
    },

    boost: {
      useGPUTranslations: true,
    },

    title: {
290
      text: DATASTREAM_DESCRIPTION,
291
292
293
294
295
      align: "left",
      x: 40,
    },

    subtitle: {
296
      text: DATASTREAM_NAME,
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
      align: "left",
      x: 40,
    },

    xAxis: {
      type: "datetime",
      // min: Date.UTC(2017, 0, 1),
      // max: Date.UTC(2017, 11, 31, 23, 59, 59),
      labels: {
        align: "left",
        x: 5,
        y: 14,
        format: "{value:%B}", // long month
      },
      showLastLabel: false,
      tickLength: 16,
    },

    yAxis: {
      title: {
        text: null,
      },
      labels: {
        format: "{value}:00",
      },
      minPadding: 0,
      maxPadding: 0,
      startOnTick: false,
      endOnTick: false,
      tickPositions: [0, 3, 6, 9, 12, 15, 18, 21, 24],
      tickWidth: 1,
      min: 0,
      max: 23,
      reversed: true,
    },

    colorAxis: {
      stops: [
        [0, "#3060cf"],
        [0.5, "#fffbbc"],
        [0.9, "#c4463a"],
        [1, "#c4463a"],
      ],
Pithon Kabiro's avatar
Pithon Kabiro committed
340
341
      min: MINIMUM_VALUE_COLOR_AXIS,
      max: MAXIMUM_VALUE_COLOR_AXIS,
342
343
344
      startOnTick: false,
      endOnTick: false,
      labels: {
345
346
        // format: "{value}℃",
        format: `{value}${PHENOMENON_SYMBOL}`,
347
348
349
350
351
      },
    },

    series: [
      {
352
        data: formattedObsArrayForHeatmap,
353
354
355
356
357
        boostThreshold: 100,
        borderWidth: 0,
        nullColor: "#525252",
        colsize: 24 * 36e5, // one day
        tooltip: {
358
359
          headerFormat: `${PHENOMENON_NAME}<br/>`,
          valueDecimals: 2,
360
          pointFormat:
361
362
            // "{point.x:%e %b, %Y} {point.y}:00: <b>{point.value} ℃</b>",
            `{point.x:%e %b, %Y} {point.y}:00: <b>{point.value} ${PHENOMENON_SYMBOL}</b>`,
Pithon Kabiro's avatar
Pithon Kabiro committed
363
          nullFormat: `{point.x:%e %b, %Y} {point.y}:00: <b>null</b>`,
364
365
366
367
368
369
370
        },
        turboThreshold: Number.MAX_VALUE, // #3404, remove after 4.0.5 release
      },
    ],
  });
};

Pithon Kabiro's avatar
Pithon Kabiro committed
371
372
/**
 * Convert the observations' phenomenonTime from an ISO 8601 string to Unix epoch
373
374
 * @param {Array} obsArray Response from SensorThings API as array
 * @returns {Array} Array of formatted observations suitable for use in a line chart
Pithon Kabiro's avatar
Pithon Kabiro committed
375
 */
376
const formatSTAResponseForLineChart = function (obsArray) {
Pithon Kabiro's avatar
Pithon Kabiro committed
377
  if (!obsArray) return;
378
379

  const dataSTAFormatted = obsArray.map((result) => {
Pithon Kabiro's avatar
Pithon Kabiro committed
380
381
    const timestampObs = new Date(result[0].slice(0, -1)).getTime(); // slice() removes trailing "Z" character in timestamp
    const valueObs = result[1];
382
    return [timestampObs, valueObs];
Pithon Kabiro's avatar
Pithon Kabiro committed
383
  });
384

Pithon Kabiro's avatar
Pithon Kabiro committed
385
386
387
388
389
  return dataSTAFormatted;
};

/**
 * Draw a line chart using Highcharts library
390
 * @param {Array} formattedObsArrayForLineChart Response from SensorThings API formatted for use in a line chart
391
 * @param {Object} formattedDatastreamMetadata Object containing Datastream metadata
392
 * @returns {undefined} undefined
Pithon Kabiro's avatar
Pithon Kabiro committed
393
 */
394
const drawLineChartHC = function (
395
  formattedObsArrayForLineChart,
396
  formattedDatastreamMetadata
397
) {
398
399
400
401
402
403
404
  const {
    datastreamDescription: DATASTREAM_DESCRIPTION,
    datastreamName: DATASTREAM_NAME,
    phenomenonName: PHENOMENON_NAME,
    unitOfMeasurementSymbol: PHENOMENON_SYMBOL,
  } = formattedDatastreamMetadata;

Pithon Kabiro's avatar
Pithon Kabiro committed
405
406
407
408
409
410
  Highcharts.stockChart("chart-line", {
    chart: {
      zoomType: "x",
    },

    rangeSelector: {
411
      selected: 5,
Pithon Kabiro's avatar
Pithon Kabiro committed
412
413
414
    },

    title: {
415
      text: DATASTREAM_DESCRIPTION,
416
417
418
419
      "align": "left",
    },

    subtitle: {
420
      text: DATASTREAM_NAME,
421
      align: "left",
Pithon Kabiro's avatar
Pithon Kabiro committed
422
423
424
425
    },

    series: [
      {
426
        name: `${PHENOMENON_NAME} (${PHENOMENON_SYMBOL})`,
427
        data: formattedObsArrayForLineChart,
Pithon Kabiro's avatar
Pithon Kabiro committed
428
429
430
431
432
433
434
435
436
        tooltip: {
          valueDecimals: 2,
        },
        turboThreshold: Number.MAX_VALUE, // #3404, remove after 4.0.5 release
      },
    ],
  });
};

Pithon Kabiro's avatar
Pithon Kabiro committed
437
/**
Pithon Kabiro's avatar
Pithon Kabiro committed
438
 * Follows "@iot.nextLink" links in SensorThingsAPI's response
Pithon Kabiro's avatar
Pithon Kabiro committed
439
 * Appends new results to existing results
Pithon Kabiro's avatar
Pithon Kabiro committed
440
 * @async
441
442
 * @param {Promise} responsePromise Promise object resulting from an Axios GET request
 * @returns {Object} Object containing results from all the "@iot.nextLink" links
Pithon Kabiro's avatar
Pithon Kabiro committed
443
 */
444
const followNextLink = function (responsePromise) {
Pithon Kabiro's avatar
Pithon Kabiro committed
445
  if (!responsePromise) return;
Pithon Kabiro's avatar
Pithon Kabiro committed
446
  return responsePromise
447
    .then((lastSuccess) => {
Pithon Kabiro's avatar
Pithon Kabiro committed
448
449
450
      if (lastSuccess.data["@iot.nextLink"]) {
        return followNextLink(
          axios.get(lastSuccess.data["@iot.nextLink"])
451
        ).then((nextLinkSuccess) => {
Pithon Kabiro's avatar
Pithon Kabiro committed
452
453
454
455
456
457
458
459
460
          nextLinkSuccess.data.value = lastSuccess.data.value.concat(
            nextLinkSuccess.data.value
          );
          return nextLinkSuccess;
        });
      } else {
        return lastSuccess;
      }
    })
461
    .catch((err) => {
462
      console.error(err);
Pithon Kabiro's avatar
Pithon Kabiro committed
463
464
465
    });
};

466
467
468
/**
 * Retrieve all the Observations from a Datastream after traversing all the "@iot.nextLink" links
 * @async
469
470
 * @param {Promise} httpGetRequestPromise Promise object resulting from an Axios GET request
 * @returns {Promise} A promise that contains an array of Observations from a single Datastream when fulfilled
471
 */
472
const getCombinedObservationsFromAllNextLinks = function (
473
  httpGetRequestPromise
474
) {
475
  return followNextLink(httpGetRequestPromise)
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
    .then((success) => {
      const successValue = success.data.value;
      // Array that will hold the combined observations
      const combinedObservations = [];
      successValue.forEach((dataObj) => {
        // Each page of results will have a dataArray that holds the observations
        const dataArrays = dataObj.dataArray;
        combinedObservations.push(...dataArrays);
      });

      return new Promise((resolve, reject) => {
        resolve(combinedObservations);
      });
    })
    .catch((err) => {
491
      console.error(err);
492
493
    });
};
494

495
496
497
498
499
500
/**
 * Retrieve the metadata for a Datastream as well as the Observations corresponding to it
 * @async
 * @param {Promise} metadataPlusObsPromiseArray An array that contains two promises, one for datastream metadata, the other for observations
 * @returns {Promise} A promise that contains two arrays when fulfilled, one for datastream metadata and the other for observations
 */
501
const getMetadataPlusObservationsForChart = async function (
502
  metadataPlusObsPromiseArray
503
) {
504
  // Array to store our final result
505
506
  const combinedResolvedPromises = [];

507
508
  // Use for/of loop - we need to maintain the order of execution of the async operations
  for (const promise of metadataPlusObsPromiseArray) {
509
    try {
510
      // Resolved value of a single promise
511
512
513
      const resolvedPromise = await promise;
      combinedResolvedPromises.push(resolvedPromise);
    } catch (err) {
514
      console.error(err);
515
516
517
518
519
    }
  }
  return combinedResolvedPromises;
};

520
521
522
/**
 * Retrieve all the Observations from an array of Observations promises
 * @async
523
 * @param {Promise} observationPromiseArray An array that contains N observation promises
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
 * @returns {Promise} A promise that contains an array of Observations from multiple Datastreams when fulfilled
 */
const getObservationsFromMultipleDatastreams = async function (
  observationPromiseArray
) {
  // Array to store our final result
  const observationsAllDatastreamsArr = [];

  // Use for/of loop - we need to maintain the order of execution of the async operations
  for (const observationPromise of observationPromiseArray) {
    try {
      // Observations from a single Datastream
      const observations = await observationPromise;
      observationsAllDatastreamsArr.push(observations);
    } catch (err) {
539
      console.error(err);
540
541
542
543
    }
  }
  return observationsAllDatastreamsArr;
};
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574

// Building + phenomenon + sampling rate
const buildingsSensorSamplingRateRLArr = [
  ["101", "rl", "60min"],
  ["102", "rl", "60min"],
  ["107", "rl", "60min"],
  ["112, 118", "rl", "60min"],
  ["125", "rl", "60min"],
  ["225", "rl", "60min"],
];

// Datastreams IDs
const datastreamsRLArr = buildingsSensorSamplingRateRLArr.map((bldg) =>
  getDatastreamIdFromBuildingNumber(...bldg)
);

// Datastreams URLs
const datastreamsUrlRLArr = datastreamsRLArr.map((datastreamId) =>
  getObservationsUrl(BASE_URL, datastreamId)
);

// Promise objects - Observations / RL
const observationsPromisesRLArr = datastreamsUrlRLArr.map((obsUrl) =>
  getCombinedObservationsFromAllNextLinks(
    axiosGetRequest(obsUrl, QUERY_PARAMS_COMBINED)
  )
);

// getObservationsFromMultipleDatastreams(observationsPromisesRLArr).then((x) =>
//   console.log(x)
// );
575

576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
const drawScatterPlotHC = function () {
  Highcharts.chart("chart-scatter-plot", {
    chart: {
      type: "scatter",
      zoomType: "xy",
    },
    title: {
      text: "Height Versus Weight of 507 Individuals by Gender",
    },
    subtitle: {
      text: "Source: Heinz  2003",
    },
    xAxis: {
      title: {
        enabled: true,
        text: "Height (cm)",
      },
      startOnTick: true,
      endOnTick: true,
      showLastLabel: true,
    },
    yAxis: {
      title: {
        text: "Weight (kg)",
      },
    },
    legend: {
      layout: "vertical",
      align: "left",
      verticalAlign: "top",
      x: 100,
      y: 70,
      floating: true,
      backgroundColor: Highcharts.defaultOptions.chart.backgroundColor,
      borderWidth: 1,
    },
    plotOptions: {
      scatter: {
        marker: {
          radius: 5,
          states: {
            hover: {
              enabled: true,
              lineColor: "rgb(100,100,100)",
            },
          },
        },
        states: {
          hover: {
            marker: {
              enabled: false,
            },
          },
        },
        tooltip: {
          headerFormat: "<b>{series.name}</b><br>",
          pointFormat: "{point.x} cm, {point.y} kg",
        },
      },
    },
    series: [
      {
        name: "Female",
        color: "rgba(223, 83, 83, .5)",
        data: [
          [161.2, 51.6],
          [167.5, 59.0],
          [159.5, 49.2],
          [157.0, 63.0],
          [155.8, 53.6],
          [170.0, 59.0],
          [159.1, 47.6],
          [166.0, 69.8],
          [176.2, 66.8],
          [160.2, 75.2],
          [172.5, 55.2],
          [170.9, 54.2],
          [172.9, 62.5],
          [153.4, 42.0],
          [160.0, 50.0],
          [147.2, 49.8],
          [168.2, 49.2],
          [175.0, 73.2],
          [157.0, 47.8],
          [167.6, 68.8],
          [159.5, 50.6],
          [175.0, 82.5],
          [166.8, 57.2],
          [176.5, 87.8],
          [170.2, 72.8],
          [174.0, 54.5],
          [173.0, 59.8],
          [179.9, 67.3],
          [170.5, 67.8],
          [160.0, 47.0],
          [154.4, 46.2],
          [162.0, 55.0],
          [176.5, 83.0],
          [160.0, 54.4],
          [152.0, 45.8],
          [162.1, 53.6],
          [170.0, 73.2],
          [160.2, 52.1],
          [161.3, 67.9],
          [166.4, 56.6],
          [168.9, 62.3],
          [163.8, 58.5],
          [167.6, 54.5],
          [160.0, 50.2],
          [161.3, 60.3],
          [167.6, 58.3],
          [165.1, 56.2],
          [160.0, 50.2],
          [170.0, 72.9],
          [157.5, 59.8],
          [167.6, 61.0],
          [160.7, 69.1],
          [163.2, 55.9],
          [152.4, 46.5],
          [157.5, 54.3],
          [168.3, 54.8],
          [180.3, 60.7],
          [165.5, 60.0],
          [165.0, 62.0],
          [164.5, 60.3],
          [156.0, 52.7],
          [160.0, 74.3],
          [163.0, 62.0],
          [165.7, 73.1],
          [161.0, 80.0],
          [162.0, 54.7],
          [166.0, 53.2],
          [174.0, 75.7],
          [172.7, 61.1],
          [167.6, 55.7],
          [151.1, 48.7],
          [164.5, 52.3],
          [163.5, 50.0],
          [152.0, 59.3],
          [169.0, 62.5],
          [164.0, 55.7],
          [161.2, 54.8],
          [155.0, 45.9],
          [170.0, 70.6],
          [176.2, 67.2],
          [170.0, 69.4],
          [162.5, 58.2],
          [170.3, 64.8],
          [164.1, 71.6],
          [169.5, 52.8],
          [163.2, 59.8],
          [154.5, 49.0],
          [159.8, 50.0],
          [173.2, 69.2],
          [170.0, 55.9],
          [161.4, 63.4],
          [169.0, 58.2],
          [166.2, 58.6],
          [159.4, 45.7],
          [162.5, 52.2],
          [159.0, 48.6],
          [162.8, 57.8],
          [159.0, 55.6],
          [179.8, 66.8],
          [162.9, 59.4],
          [161.0, 53.6],
          [151.1, 73.2],
          [168.2, 53.4],
          [168.9, 69.0],
          [173.2, 58.4],
          [171.8, 56.2],
          [178.0, 70.6],
          [164.3, 59.8],
          [163.0, 72.0],
          [168.5, 65.2],
          [166.8, 56.6],
          [172.7, 105.2],
          [163.5, 51.8],
          [169.4, 63.4],
          [167.8, 59.0],
          [159.5, 47.6],
          [167.6, 63.0],
          [161.2, 55.2],
          [160.0, 45.0],
          [163.2, 54.0],
          [162.2, 50.2],
          [161.3, 60.2],
          [149.5, 44.8],
          [157.5, 58.8],
          [163.2, 56.4],
          [172.7, 62.0],
          [155.0, 49.2],
          [156.5, 67.2],
          [164.0, 53.8],
          [160.9, 54.4],
          [162.8, 58.0],
          [167.0, 59.8],
          [160.0, 54.8],
          [160.0, 43.2],
          [168.9, 60.5],
          [158.2, 46.4],
          [156.0, 64.4],
          [160.0, 48.8],
          [167.1, 62.2],
          [158.0, 55.5],
          [167.6, 57.8],
          [156.0, 54.6],
          [162.1, 59.2],
          [173.4, 52.7],
          [159.8, 53.2],
          [170.5, 64.5],
          [159.2, 51.8],
          [157.5, 56.0],
          [161.3, 63.6],
          [162.6, 63.2],
          [160.0, 59.5],
          [168.9, 56.8],
          [165.1, 64.1],
          [162.6, 50.0],
          [165.1, 72.3],
          [166.4, 55.0],
          [160.0, 55.9],
          [152.4, 60.4],
          [170.2, 69.1],
          [162.6, 84.5],
          [170.2, 55.9],
          [158.8, 55.5],
          [172.7, 69.5],
          [167.6, 76.4],
          [162.6, 61.4],
          [167.6, 65.9],
          [156.2, 58.6],
          [175.2, 66.8],
          [172.1, 56.6],
          [162.6, 58.6],
          [160.0, 55.9],
          [165.1, 59.1],
          [182.9, 81.8],
          [166.4, 70.7],
          [165.1, 56.8],
          [177.8, 60.0],
          [165.1, 58.2],
          [175.3, 72.7],
          [154.9, 54.1],
          [158.8, 49.1],
          [172.7, 75.9],
          [168.9, 55.0],
          [161.3, 57.3],
          [167.6, 55.0],
          [165.1, 65.5],
          [175.3, 65.5],
          [157.5, 48.6],
          [163.8, 58.6],
          [167.6, 63.6],
          [165.1, 55.2],
          [165.1, 62.7],
          [168.9, 56.6],
          [162.6, 53.9],
          [164.5, 63.2],
          [176.5, 73.6],
          [168.9, 62.0],
          [175.3, 63.6],
          [159.4, 53.2],
          [160.0, 53.4],
          [170.2, 55.0],
          [162.6, 70.5],
          [167.6, 54.5],
          [162.6, 54.5],
          [160.7, 55.9],
          [160.0, 59.0],
          [157.5, 63.6],
          [162.6, 54.5],
          [152.4, 47.3],
          [170.2, 67.7],
          [165.1, 80.9],
          [172.7, 70.5],
          [165.1, 60.9],
          [170.2, 63.6],
          [170.2, 54.5],
          [170.2, 59.1],
          [161.3, 70.5],
          [167.6, 52.7],
          [167.6, 62.7],
          [165.1, 86.3],
          [162.6, 66.4],
          [152.4, 67.3],
          [168.9, 63.0],
          [170.2, 73.6],
          [175.2, 62.3],
          [175.2, 57.7],
          [160.0, 55.4],
          [165.1, 104.1],
          [174.0, 55.5],
          [170.2, 77.3],
          [160.0, 80.5],
          [167.6, 64.5],
          [167.6, 72.3],
          [167.6, 61.4],
          [154.9, 58.2],
          [162.6, 81.8],
          [175.3, 63.6],
          [171.4, 53.4],
          [157.5, 54.5],
          [165.1, 53.6],
          [160.0, 60.0],
          [174.0, 73.6],
          [162.6, 61.4],
          [174.0, 55.5],
          [162.6, 63.6],
          [161.3, 60.9],
          [156.2, 60.0],
          [149.9, 46.8],
          [169.5, 57.3],
          [160.0, 64.1],
          [175.3, 63.6],
          [169.5, 67.3],
          [160.0, 75.5],
          [172.7, 68.2],
          [162.6, 61.4],
          [157.5, 76.8],
          [176.5, 71.8],
          [164.4, 55.5],
          [160.7, 48.6],
          [174.0, 66.4],
          [163.8, 67.3],
        ],
      },
      {
        name: "Male",
        color: "rgba(119, 152, 191, .5)",
        data: [
          [174.0, 65.6],
          [175.3, 71.8],
          [193.5, 80.7],
          [186.5, 72.6],
          [187.2, 78.8],
          [181.5, 74.8],
          [184.0, 86.4],
          [184.5, 78.4],
          [175.0, 62.0],
          [184.0, 81.6],
          [180.0, 76.6],
          [177.8, 83.6],
          [192.0, 90.0],
          [176.0, 74.6],
          [174.0, 71.0],
          [184.0, 79.6],
          [192.7, 93.8],
          [171.5, 70.0],
          [173.0, 72.4],
          [176.0, 85.9],
          [176.0, 78.8],
          [180.5, 77.8],
          [172.7, 66.2],
          [176.0, 86.4],
          [173.5, 81.8],
          [178.0, 89.6],
          [180.3, 82.8],
          [180.3, 76.4],
          [164.5, 63.2],
          [173.0, 60.9],
          [183.5, 74.8],
          [175.5, 70.0],
          [188.0, 72.4],
          [189.2, 84.1],
          [172.8, 69.1],
          [170.0, 59.5],
          [182.0, 67.2],
          [170.0, 61.3],
          [177.8, 68.6],
          [184.2, 80.1],
          [186.7, 87.8],
          [171.4, 84.7],
          [172.7, 73.4],
          [175.3, 72.1],
          [180.3, 82.6],
          [182.9, 88.7],
          [188.0, 84.1],
          [177.2, 94.1],
          [172.1, 74.9],
          [167.0, 59.1],
          [169.5, 75.6],
          [174.0, 86.2],
          [172.7, 75.3],
          [182.2, 87.1],
          [164.1, 55.2],
          [163.0, 57.0],
          [171.5, 61.4],
          [184.2, 76.8],
          [174.0, 86.8],
          [174.0, 72.2],
          [177.0, 71.6],
          [186.0, 84.8],
          [167.0, 68.2],
          [171.8, 66.1],
          [182.0, 72.0],
          [167.0, 64.6],
          [177.8, 74.8],
          [164.5, 70.0],
          [192.0, 101.6],
          [175.5, 63.2],
          [171.2, 79.1],
          [181.6, 78.9],
          [167.4, 67.7],
          [181.1, 66.0],
          [177.0, 68.2],
          [174.5, 63.9],
          [177.5, 72.0],
          [170.5, 56.8],
          [182.4, 74.5],
          [197.1, 90.9],
          [180.1, 93.0],
          [175.5, 80.9],
          [180.6, 72.7],
          [184.4, 68.0],
          [175.5, 70.9],
          [180.6, 72.5],
          [177.0, 72.5],
          [177.1, 83.4],
          [181.6, 75.5],
          [176.5, 73.0],
          [175.0, 70.2],
          [174.0, 73.4],
          [165.1, 70.5],
          [177.0, 68.9],
          [192.0, 102.3],
          [176.5, 68.4],
          [169.4, 65.9],
          [182.1, 75.7],
          [179.8, 84.5],
          [175.3, 87.7],
          [184.9, 86.4],
          [177.3, 73.2],
          [167.4, 53.9],
          [178.1, 72.0],
          [168.9, 55.5],
          [157.2, 58.4],
          [180.3, 83.2],
          [170.2, 72.7],
          [177.8, 64.1],
          [172.7, 72.3],
          [165.1, 65.0],
          [186.7, 86.4],
          [165.1, 65.0],
          [174.0, 88.6],
          [175.3, 84.1],
          [185.4, 66.8],
          [177.8, 75.5],
          [180.3, 93.2],
          [180.3, 82.7],
          [177.8, 58.0],
          [177.8, 79.5],
          [177.8, 78.6],
          [177.8, 71.8],
          [177.8, 116.4],
          [163.8, 72.2],
          [188.0, 83.6],
          [198.1, 85.5],
          [175.3, 90.9],
          [166.4, 85.9],
          [190.5, 89.1],
          [166.4, 75.0],
          [177.8, 77.7],
          [179.7, 86.4],
          [172.7, 90.9],
          [190.5, 73.6],
          [185.4, 76.4],
          [168.9, 69.1],
          [167.6, 84.5],
          [175.3, 64.5],
          [170.2, 69.1],
          [190.5, 108.6],
          [177.8, 86.4],
          [190.5, 80.9],
          [177.8, 87.7],
          [184.2, 94.5],
          [176.5, 80.2],
          [177.8, 72.0],
          [180.3, 71.4],
          [171.4, 72.7],
          [172.7, 84.1],
          [172.7, 76.8],
          [177.8, 63.6],
          [177.8, 80.9],
          [182.9, 80.9],
          [170.2, 85.5],
          [167.6, 68.6],
          [175.3, 67.7],
          [165.1, 66.4],
          [185.4, 102.3],
          [181.6, 70.5],
          [172.7, 95.9],
          [190.5, 84.1],
          [179.1, 87.3],
          [175.3, 71.8],
          [170.2, 65.9],
          [193.0, 95.9],
          [171.4, 91.4],
          [177.8, 81.8],
          [177.8, 96.8],
          [167.6, 69.1],
          [167.6, 82.7],
          [180.3, 75.5],
          [182.9, 79.5],
          [176.5, 73.6],
          [186.7, 91.8],
          [188.0, 84.1],
          [188.0, 85.9],
          [177.8, 81.8],
          [174.0, 82.5],
          [177.8, 80.5],
          [171.4, 70.0],
          [185.4, 81.8],
          [185.4, 84.1],
          [188.0, 90.5],
          [188.0, 91.4],
          [182.9, 89.1],
          [176.5, 85.0],
          [175.3, 69.1],
          [175.3, 73.6],
          [188.0, 80.5],
          [188.0, 82.7],
          [175.3, 86.4],
          [170.5, 67.7],
          [179.1, 92.7],
          [177.8, 93.6],
          [175.3, 70.9],
          [182.9, 75.0],
          [170.8, 93.2],
          [188.0, 93.2],
          [180.3, 77.7],
          [177.8, 61.4],
          [185.4, 94.1],
          [168.9, 75.0],
          [185.4, 83.6],
          [180.3, 85.5],
          [174.0, 73.9],
          [167.6, 66.8],
          [182.9, 87.3],
          [160.0, 72.3],
          [180.3, 88.6],
          [167.6, 75.5],
          [186.7, 101.4],
          [175.3, 91.1],
          [175.3, 67.3],
          [175.9, 77.7],
          [175.3, 81.8],
          [179.1, 75.5],
          [181.6, 84.5],
          [177.8, 76.6],
          [182.9, 85.0],
          [177.8, 102.5],
          [184.2, 77.3],
          [179.1, 71.8],
          [176.5, 87.9],
          [188.0, 94.3],
          [174.0, 70.9],
          [167.6, 64.5],
          [170.2, 77.3],
          [167.6, 72.3],
          [188.0, 87.3],
          [174.0, 80.0],
          [176.5, 82.3],
          [180.3, 73.6],
          [167.6, 74.1],
          [188.0, 85.9],
          [180.3, 73.2],
          [167.6, 76.3],
          [183.0, 65.9],
          [183.0, 90.9],
          [179.1, 89.1],
          [170.2, 62.3],
          [177.8, 82.7],
          [179.1, 79.1],
          [190.5, 98.2],
          [177.8, 84.1],
          [180.3, 83.2],
          [180.3, 83.2],
        ],
      },
    ],
  });
};

drawScatterPlotHC();

1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
export {
  BASE_URL,
  QUERY_PARAMS_COMBINED,
  getDatastreamIdFromBuildingNumber,
  getDatastreamUrl,
  getObservationsUrl,
  createTemporalFilterString,
  axiosGetRequest,
  getDatastreamMetadata,
  formatDatastreamMetadataForChart,
  formatSTAResponseForHeatMap,
  drawHeatMapHC,
  formatSTAResponseForLineChart,
  drawLineChartHC,
  getCombinedObservationsFromAllNextLinks,
  getMetadataPlusObservationsForChart,
};