appChart.js

"use strict";

// DEBUG:
// Observations WITHOUT data gap - Bau 225 / Datastream ID = 80
// Observations WITH data gap - Bau 112 / Datastream ID = 78

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

/**
 * Retrieve the datastream ID that corresponds to a particular building
 * @param {*} buildingNumber Integer representing the building ID
 * @param {*} phenomenon String representing the phenomenon of interest
 * @param {*} samplingRate String representing the sampling rate of the observations
 * @returns {Number} Datastream corresponding to the input building
 */
export const getDatastreamIdFromBuildingNumber = function (
  buildingNumber,
  phenomenon,
  samplingRate
) {
  const buildingToDatastreamMapping = {
    101: {
      vl: { "15min": "69", "60min": "75" },
      rl: { "15min": "81", "60min": "87" },
      flow: { "15min": "93", "60min": "99" },
      power: { "15min": "105", "60min": "111" },
      energy: { "15min": "117", "60min": "123" },
      energy_verb: { "15min": "129", "60min": "135" },
    },
    102: {
      vl: { "15min": "70", "60min": "76" },
      rl: { "15min": "82", "60min": "88" },
      flow: { "15min": "94", "60min": "100" },
      power: { "15min": "106", "60min": "112" },
      energy: { "15min": "118", "60min": "124" },
      energy_verb: { "15min": "130", "60min": "136" },
    },
    107: {
      vl: { "15min": "71", "60min": "77" },
      rl: { "15min": "83", "60min": "89" },
      flow: { "15min": "95", "60min": "101" },
      power: { "15min": "107", "60min": "113" },
      energy: { "15min": "119", "60min": "125" },
      energy_verb: { "15min": "131", "60min": "137" },
    },
    "112, 118": {
      vl: { "15min": "72", "60min": "78" },
      rl: { "15min": "84", "60min": "90" },
      flow: { "15min": "96", "60min": "102" },
      power: { "15min": "108", "60min": "114" },
      energy: { "15min": "120", "60min": "126" },
      energy_verb: { "15min": "132", "60min": "138" },
    },
    125: {
      vl: { "15min": "73", "60min": "79" },
      rl: { "15min": "85", "60min": "91" },
      flow: { "15min": "97", "60min": "103" },
      power: { "15min": "109", "60min": "115" },
      energy: { "15min": "121", "60min": "127" },
      energy_verb: { "15min": "133", "60min": "139" },
    },
    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" },
    },
  };

  if (!buildingNumber) return;

  // check if building is contained in mapping object
  if (!(buildingNumber in buildingToDatastreamMapping)) return;

  const datastreamIdMatched = Number(
    buildingToDatastreamMapping[buildingNumber][phenomenon][samplingRate]
  );

  return datastreamIdMatched;
};

/**
 * Create URL to fetch the Observations corresponding to a provided Datastream
 * @param {Number} datastreamID - Integer representing the Datastream ID
 * @returns {String} URL string for fetching the Observations corresponding to a Datastream
 */
export const getObservationsUrl = function (baseUrl, datastreamID) {
  if (!datastreamID) return;
  const fullDatastreamURL = `${baseUrl}/Datastreams(${datastreamID})/Observations`;
  return fullDatastreamURL;
};

/**
 * Create a temporal filter string for the fetched Observations
 * @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
 */
export const createTemporalFilterString = function (dateStart, dateStop) {
  if (!dateStart || !dateStop) return;
  const filterString = `resultTime ge ${dateStart}T00:00:00.000Z and resultTime le ${dateStop}T00:00:00.000Z`;
  return filterString;
};

// const BASE_URL_OBSERVATIONS = getObservationsUrl(80);
export const PARAM_RESULT_FORMAT = "dataArray";
export const PARAM_ORDER_BY = "phenomenonTime asc";
// const PARAM_FILTER = createTemporalFilterString("2020-01-01", "2021-01-01");
export const PARAM_SELECT = "result,phenomenonTime";

// const axiosGetRequest = axios.get(BASE_URL_OBSERVATIONS, {
//   params: {
//     "$resultFormat": PARAM_RESULT_FORMAT,
//     "$orderBy": PARAM_ORDER_BY,
//     "$filter": PARAM_FILTER,
//     "$select": PARAM_SELECT,
//   },
// });

/**
 * Format the response from SensorThings API to make it suitable for heatmap
 * @param {Array} obsArray Response from SensorThings API as array
 * @returns {Array} Array of formatted observations suitable for use in a heatmap
 */
export const formatSTAResponseForHeatMap = function (obsArray) {
  if (!obsArray) return;
  const dataSTAFormatted = [];
  obsArray.forEach((obs) => {
    // 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];
    dataSTAFormatted.push([timestamp, hourOfDay, value]);
  });
  return dataSTAFormatted;
};

/**
 * Draw a heatmap using Highcharts library
 * @param {Array} formattedObsArrayForHeatmap Response from SensorThings API formatted for use in a heatmap
 * @returns {Object} Highcharts library heatmap object
 */
export const drawHeatMapHC = function (formattedObsArrayForHeatmap) {
  Highcharts.chart("chart-heatmap", {
    chart: {
      type: "heatmap",
      zoomType: "x",
    },

    boost: {
      useGPUTranslations: true,
    },

    title: {
      text: "Inlet flow (Vorlauf)",
      align: "left",
      x: 40,
    },

    subtitle: {
      text: "Temperature variation by day and hour in 2020",
      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, 6, 12, 18, 24],
      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"],
      ],
      min: 60,
      max: 85,
      startOnTick: false,
      endOnTick: false,
      labels: {
        format: "{value}℃",
      },
    },

    series: [
      {
        data: formattedObsArrayForHeatmap,
        boostThreshold: 100,
        borderWidth: 0,
        nullColor: "#525252",
        colsize: 24 * 36e5, // one day
        tooltip: {
          headerFormat: "Temperature<br/>",
          pointFormat:
            "{point.x:%e %b, %Y} {point.y}:00: <b>{point.value} ℃</b>",
        },
        turboThreshold: Number.MAX_VALUE, // #3404, remove after 4.0.5 release
      },
    ],
  });
};

/**
 * Convert the observations' phenomenonTime from an ISO 8601 string to Unix epoch
 * @param {Array} obsArray Response from SensorThings API as array
 * @returns {Array} Array of formatted observations suitable for use in a line chart
 */
export const formatSTAResponseForLineChart = function (obsArray) {
  if (!obsArray) return;
  const dataSTAFormatted = [];
  obsArray.forEach((result) => {
    const timestampObs = new Date(result[0].slice(0, -1)).getTime(); // slice() removes trailing "Z" character in timestamp
    const valueObs = result[1];
    dataSTAFormatted.push([timestampObs, valueObs]);
  });
  return dataSTAFormatted;
};

/**
 * Draw a line chart using Highcharts library
 * @param {Array} formattedObsArrayForLineChart - Response from SensorThings API formatted for use in a line chart
 * @returns {Object} Highcharts library line chart object
 */
export const drawLineChartHC = function (formattedObsArrayForLineChart) {
  // Create the chart
  Highcharts.stockChart("chart-line", {
    chart: {
      zoomType: "x",
    },

    rangeSelector: {
      selected: 1,
    },

    title: {
      text: "Inlet flow (Vorlauf)",
      "align": "left",
    },

    subtitle: {
      text: "Temperature variation by hour in 2020",
      align: "left",
    },

    series: [
      {
        name: "AAPL",
        data: formattedObsArrayForLineChart,
        tooltip: {
          valueDecimals: 2,
        },
        turboThreshold: Number.MAX_VALUE, // #3404, remove after 4.0.5 release
      },
    ],
  });
};

/**
 * Follows "@iot.nextLink" links in SensorThingsAPI's response
 * Appends new results to existing results
 * @async
 * @param {Object} responsePromise Promise object
 * @returns {Object} - Object containing results from all the "@iot.nextLink" links
 */
export const followNextLink = function (responsePromise) {
  if (!responsePromise) return;
  return responsePromise
    .then(function (lastSuccess) {
      if (lastSuccess.data["@iot.nextLink"]) {
        return followNextLink(
          axios.get(lastSuccess.data["@iot.nextLink"])
        ).then(function (nextLinkSuccess) {
          nextLinkSuccess.data.value = lastSuccess.data.value.concat(
            nextLinkSuccess.data.value
          );
          return nextLinkSuccess;
        });
      } else {
        return lastSuccess;
      }
    })
    .catch(function (err) {
      console.log(err);
    });
};

// Get "ALL" the Observations that satisfy our query
// followNextLink(axiosGetRequest)
//   .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);
//     });
//     // DEBUG: Check total number of observations
//     console.log(combinedObservations.length);
//     // DEBUG: Print the array of observations
//     console.log(combinedObservations);

//     return combinedObservations;
//   })
//   .catch((err) => {
//     console.log(err);
//   })
//   .then((observationArr) => {
//     drawHeatMapHC(observationArr);
//     drawLineChartHC(observationArr);
//   });