210 lines
5.1 KiB
JavaScript
210 lines
5.1 KiB
JavaScript
const endDate = new Date();
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const startDate = new Date();
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startDate.setDate(startDate.getDate() - 7);
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startDate.setHours(0, 0, 0);
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const days = Math.ceil((endDate - startDate) / (1000 * 60 * 60 * 24));
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const timeSlots = 24;
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const timeSeries = 'crew.online';
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const accumulatePoints = false;
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//const timeSeries = 'clima.pressure.txl';
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//const accumulatePoints = false;
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//const timeSeries = 'bar.open';
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//const accumulatePoints = false;
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const interpolate = true;
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const usePreviousValue = false;
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const source = `http://openmct.cbrp3.c-base.org/telemetry/${timeSeries}?start=${startDate.getTime()}&end=${endDate.getTime()}`;
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const weekDays = ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'];
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function prepareSlots(defaultValue = 0) {
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const slots = [];
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for (let i = 0; i < days; i++) {
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daySlot = [];
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for (let ii = 0; ii < timeSlots; ii++) {
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daySlot.push(defaultValue);
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}
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slots.push(daySlot);
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}
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return slots;
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}
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prepareSlots();
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function getDayLabels() {
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const labels = [];
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const day = new Date(startDate.getTime());
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for (let i = 0; i < days; i++) {
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labels.push(`${day.getDate()} ${weekDays[day.getDay()]}`);
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day.setHours(day.getHours() + 24);
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}
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return labels;
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}
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function pad(time) {
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let val = `${time}`;
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if (val.length === 1) {
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val = `0${time}`;
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}
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return val;
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}
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function getTimeLabels() {
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const labels = [];
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const day = new Date(startDate.getTime());
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day.setHours(0, 0, 0);
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for (let i = 0; i < timeSlots; i++) {
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let from = day.getHours();
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day.setHours(day.getHours() + (24 / timeSlots));
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let to = day.getHours();
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if (to === 0) {
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to = 24;
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}
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if (timeSlots === 24) {
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labels.push(`${pad(from)}`);
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continue;
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}
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labels.push(`${pad(from)}-${pad(to)}`);
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}
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return labels;
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}
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function flattenData(data, fromDay = 0, fromHour = 0) {
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const flattened = [];
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data.forEach((dayData, dayIdx) => {
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if (dayIdx < fromDay) {
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return;
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}
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dayData.forEach((point, hourIdx) => {
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if (dayIdx === fromDay && hourIdx <= fromHour) {
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return;
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}
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flattened.push(point);
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});
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});
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return flattened;
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}
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function parseValue(val) {
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if (typeof val === 'boolean') {
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if (val) {
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return 1;
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}
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return 0;
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}
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return parseFloat(val);
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}
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function mapData(data, accumulate = false) {
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const slots = prepareSlots(null);
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data.forEach((point) => {
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const pointDate = new Date(point.timestamp);
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const pointValue = parseValue(point.value);
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const daySlot = Math.floor((pointDate - startDate) / (1000 * 60 * 60 * 24));
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const timeSlot = Math.floor(pointDate.getHours() / (24 / timeSlots))
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if (slots[daySlot][timeSlot] === null) {
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slots[daySlot][timeSlot] = 0;
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}
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if (accumulate) {
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slots[daySlot][timeSlot] += pointValue;
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} else {
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slots[daySlot][timeSlot] = Math.max(pointValue, slots[daySlot][timeSlot]);
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}
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});
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// Deal with slots without data
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let prevVal = 0;
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slots.forEach((dayData, dayIdx) => {
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let prevValIdx = 0;
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dayData.forEach((val, idx) => {
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if (val !== null) {
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prevVal = val;
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prevValIdx = idx;
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return;
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}
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if (interpolate) {
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const flattened = flattenData(slots, dayIdx, idx);
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for (let nextSlot = 0; nextSlot < flattened.length; nextSlot++) {
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if (flattened[nextSlot] === null) {
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continue;
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}
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let nextVal = flattened[nextSlot];
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if (nextVal === prevVal) {
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dayData[idx] = prevVal;
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return;
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}
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let difference = 0;
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if (nextVal > prevVal) {
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difference = nextVal - prevVal;
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} else {
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difference = prevVal - nextVal;
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}
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let distance = nextSlot;
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let totalDistance = nextSlot + idx - prevValIdx;
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if (totalDistance < 1) {
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totalDistance = 1;
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}
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dayData[idx] = Math.max((difference / totalDistance * distance) + nextVal, 0);
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return;
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}
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dayData[idx] = 0;
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return;
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}
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if (usePreviousValue) {
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dayData[idx] = prevVal;
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return;
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}
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dayData[idx] = 0;
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});
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});
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console.log(slots);
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return slots;
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}
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let layout = {
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yaxis: {
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autorange: 'reversed',
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tickfont: {
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family: 'Source Code Pro',
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},
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},
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xaxis: {
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type: 'category',
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tickfont: {
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family: 'Source Code Pro',
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},
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},
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font: {
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family: ['Source Code Pro', 'sans-serif'],
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size: 16,
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color: '#fff',
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outlineColor: 'transparent',
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},
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paper_bgcolor: 'transparent',
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};
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let options = {
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staticPlot: true,
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};
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let data = [
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{
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x: getTimeLabels(),
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y: getDayLabels(),
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z: prepareSlots(),
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type: 'heatmap',
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//colorscale: 'Bluered',
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colorscale: [
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['0.0', 'rgb(0, 0, 0)'],
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['0.9', 'rgb(255, 0, 0)'],
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['1.0', 'rgb(128, 0, 0)'],
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],
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showlegend: false,
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showscale: false,
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}
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];
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Plotly.newPlot('chart', data, layout, options);
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fetch(source)
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.then((data) => data.json())
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.then((data) => mapData(data, accumulatePoints))
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.then((values) => {
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data[0].z = values;
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Plotly.redraw('chart');
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});
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