mirror of
https://git.ianrenton.com/ian/spothole.git
synced 2026-08-06 02:21:42 +00:00
Merge branch 'main' into 95-send-spots-to-xota
# Conflicts: # README.md # config-example.yml # core/config.py # server/handlers/api/addspot.py # server/handlers/api/options.py # static/js/add-spot.js # static/js/bands.js # static/js/map.js
This commit is contained in:
@@ -0,0 +1,674 @@
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// Cache for the full dxstats API response, so we can reload on the fly if the user changes the value of their continent
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// in the select box
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let dxStatsData = null;
|
||||
// Kp forecast chart
|
||||
let kpChart = null;
|
||||
// Cache for ionosonde data from the API
|
||||
let ionosondeData = null;
|
||||
// Ionosonde foF2/MUF chart
|
||||
let ionosondeChart = null;
|
||||
|
||||
// Load solar conditions
|
||||
function loadSolarConditions() {
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||||
$.getJSON('/api/v2/solar', function (jsonData) {
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||||
|
||||
// HF
|
||||
|
||||
const hfConditionClass = {'Good': 'bg-success-subtle', 'Fair': 'bg-warning-subtle', 'Poor': 'bg-danger-subtle'};
|
||||
|
||||
if (jsonData.hf_conditions) {
|
||||
$('#hamqsl-section').show();
|
||||
Object.entries(jsonData.hf_conditions).forEach(function ([key, condition]) {
|
||||
const cell = $('#hf-conditions-' + key);
|
||||
cell.text(condition);
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||||
cell.addClass(hfConditionClass[condition]);
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||||
});
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||||
}
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||||
|
||||
// VHF
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||||
|
||||
if (jsonData.vhf_conditions) {
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||||
Object.entries(jsonData.vhf_conditions).forEach(function ([key, condition]) {
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||||
const cell = $('#vhf-conditions-' + key);
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||||
cell.text(condition);
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||||
let vhfClass;
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||||
if (condition === 'Band Closed') {
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||||
vhfClass = 'bg-danger-subtle';
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} else if (condition.includes('High')) {
|
||||
vhfClass = 'bg-warning-subtle';
|
||||
} else {
|
||||
vhfClass = 'bg-success-subtle';
|
||||
}
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||||
cell.addClass(vhfClass);
|
||||
});
|
||||
}
|
||||
if (jsonData.aurora_latitude !== null && jsonData.aurora_latitude !== undefined) {
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||||
$('#vhf-conditions-aurora-lat').text(jsonData.aurora_latitude + '°');
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||||
}
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||||
|
||||
// Solar Weather
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||||
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||||
const swFields = {
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'sfi': 'sw-sfi',
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'sunspots': 'sw-sunspots',
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'band_conditions_desc': 'sw-solar-flux-desc',
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||||
'k_index': 'sw-k-index',
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||||
'a_index': 'sw-a-index',
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||||
'geomag_field': 'sw-geomag-field',
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||||
'geomag_storm_scale': 'sw-geomag-storm-scale',
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||||
'geomag_storm_desc': 'sw-geomag-storm-desc',
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||||
'geomag_noise': 'sw-geomag-noise',
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||||
'xray': 'sw-xray',
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||||
'radio_blackout_scale': 'sw-radio-blackout-scale',
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||||
'xray_desc': 'sw-xray-desc',
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'proton_flux': 'sw-proton-flux',
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||||
'solar_storm_scale': 'sw-solar-storm-scale',
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'proton_flux_desc': 'sw-proton-desc',
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'electron_flux': 'sw-electron-flux',
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||||
'electron_flux_desc': 'sw-electron-desc',
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||||
};
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Object.entries(swFields).forEach(function ([field, id]) {
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const val = jsonData[field];
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if (val !== null && val !== undefined) {
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$('#' + id).text(val);
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}
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});
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// Solar Weather - colouring
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function applySwClass(valsId, descId, cls) {
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$('#' + valsId).addClass(cls);
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$('#' + descId).addClass(cls);
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}
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const sfi = jsonData.sfi;
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if (sfi !== null && sfi !== undefined) {
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applySwClass('sw-solar-flux-vals', 'sw-solar-flux-desc',
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sfi > 120 ? 'bg-success-subtle' : sfi > 90 ? 'bg-warning-subtle' : 'bg-danger-subtle');
|
||||
}
|
||||
|
||||
const kIndex = jsonData.k_index;
|
||||
if (kIndex !== null && kIndex !== undefined) {
|
||||
applySwClass('sw-geomag-vals', 'sw-geomag-desc',
|
||||
kIndex < 5 ? 'bg-success-subtle' : kIndex < 6 ? 'bg-warning-subtle' : 'bg-danger-subtle');
|
||||
}
|
||||
|
||||
const xRay = jsonData.xray;
|
||||
if (xRay) {
|
||||
const letter = xRay[0].toUpperCase();
|
||||
const xRayClass = (letter === 'X') ? 'bg-danger-subtle'
|
||||
: (letter === 'M') ? 'bg-warning-subtle'
|
||||
: 'bg-success-subtle';
|
||||
applySwClass('sw-xray-vals', 'sw-xray-desc', xRayClass);
|
||||
}
|
||||
|
||||
const protonFlux = jsonData.proton_flux;
|
||||
if (protonFlux !== null && protonFlux !== undefined) {
|
||||
applySwClass('sw-proton-vals', 'sw-proton-desc',
|
||||
protonFlux <= 100 ? 'bg-success-subtle' : protonFlux <= 10000 ? 'bg-warning-subtle' : 'bg-danger-subtle');
|
||||
}
|
||||
|
||||
const electronFlux = jsonData.electron_flux;
|
||||
if (electronFlux !== null && electronFlux !== undefined) {
|
||||
applySwClass('sw-electron-vals', 'sw-electron-desc',
|
||||
electronFlux <= 100 ? 'bg-success-subtle' : electronFlux <= 1000 ? 'bg-warning-subtle' : 'bg-danger-subtle');
|
||||
}
|
||||
|
||||
// Ionosonde
|
||||
|
||||
if (jsonData.ionosonde_data && Object.keys(jsonData.ionosonde_data).length > 0) {
|
||||
$('#ionosonde-section').show();
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||||
ionosondeData = jsonData.ionosonde_data;
|
||||
populateIonosondeDropdown(ionosondeData);
|
||||
renderIonosondeData();
|
||||
}
|
||||
|
||||
// Forecast
|
||||
|
||||
if (jsonData.k_index_forecast) {
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||||
$('#noaa-section').show();
|
||||
}
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||||
renderKIndexForecast(jsonData.k_index_forecast);
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||||
renderSolarStormForecast(jsonData.solar_storm_forecast);
|
||||
renderBlackoutForecast(jsonData.blackout_forecast_r1r2, jsonData.blackout_forecast_r3_or_greater);
|
||||
});
|
||||
}
|
||||
|
||||
// Render the K-index forecast as a Chart.js bar chart, one bar per 3-hour UTC period
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||||
function renderKIndexForecast(data) {
|
||||
if (!data) return;
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||||
|
||||
const entries = Object.entries(data)
|
||||
.map(([tsStr, kp]) => ({ts: parseFloat(tsStr), kp}))
|
||||
.sort((a, b) => a.ts - b.ts);
|
||||
if (entries.length === 0) return;
|
||||
|
||||
// Use a simple integer index axis: ticks at 0, 1, 2, ..., N (period boundaries) and bars
|
||||
// centred at 0.5, 1.5, ..., N-0.5 (midpoints). This guarantees tick marks fall exactly on
|
||||
// bar edges regardless of how Chart.js rounds large timestamp values.
|
||||
// "axisMin = 0" is the left/top edge of bar 0; "axisMax = N" is the right/bottom edge of bar N-1.
|
||||
const N = entries.length;
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||||
const periodSecs = 3 * 3600;
|
||||
|
||||
// Inherit colours from Bootstrap CSS variables so that dark mode inherently works. We want bar colours that are not
|
||||
// quite as saturated as the Bootstrap success/warning/danger colours but not as desaturated as the "subtle"
|
||||
// versions, so use tinycolor to apply some transparency.
|
||||
const style = getComputedStyle(document.documentElement);
|
||||
const withAlpha = hex => tinycolor(hex).setAlpha(0.8).toRgbString();
|
||||
const colors = entries.map(e =>
|
||||
e.kp < 4.5 ? withAlpha(style.getPropertyValue('--bs-success').trim())
|
||||
: e.kp < 5.5 ? withAlpha(style.getPropertyValue('--bs-warning').trim())
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||||
: withAlpha(style.getPropertyValue('--bs-danger').trim())
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||||
);
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||||
const textColor = style.getPropertyValue('--bs-body-color').trim() || '#666';
|
||||
const gridColor = style.getPropertyValue('--bs-border-color').trim() || 'rgba(128,128,128,0.3)';
|
||||
|
||||
if (kpChart) {
|
||||
kpChart.destroy();
|
||||
}
|
||||
|
||||
const isMobile = window.innerWidth < 768;
|
||||
const kpAxisTicks = {
|
||||
stepSize: 1,
|
||||
color: textColor,
|
||||
// Include geomagnetic storm levels (Gx) alongside the Kp index
|
||||
callback: v => v > 4 ? `(G${v - 4}) ${v}` : String(v),
|
||||
};
|
||||
const kpAxis = {
|
||||
min: 0,
|
||||
max: 9,
|
||||
title: {display: true, text: 'Kp', color: textColor},
|
||||
ticks: kpAxisTicks,
|
||||
grid: {color: gridColor},
|
||||
};
|
||||
// Linear scale using integer indices. Ticks at 0..N (period boundary indices);
|
||||
// the callback converts each integer index back to a UTC time string.
|
||||
// On mobile the time axis is vertical, so reverse it to keep time running top-to-bottom.
|
||||
const timeAxis = {
|
||||
type: 'linear',
|
||||
min: 0,
|
||||
max: N,
|
||||
offset: false,
|
||||
reverse: isMobile,
|
||||
title: {display: true, text: 'Time (UTC)', color: textColor},
|
||||
ticks: {
|
||||
stepSize: 1,
|
||||
color: textColor,
|
||||
maxRotation: 45,
|
||||
minRotation: 0,
|
||||
callback(value) {
|
||||
if (!Number.isInteger(value) || value < 0 || value > N) return null;
|
||||
const ts = value < N ? entries[value].ts : entries[N - 1].ts + periodSecs;
|
||||
const dt = new Date(ts * 1000);
|
||||
const h = dt.getUTCHours(), m = dt.getUTCMinutes();
|
||||
const timeStr = String(h).padStart(2, '0') + ':' + String(m).padStart(2, '0');
|
||||
if (h === 0 && m === 0) {
|
||||
return [timeStr, dt.toLocaleDateString('en-GB', {day: '2-digit', month: 'short', timeZone: 'UTC'})];
|
||||
}
|
||||
return timeStr;
|
||||
},
|
||||
},
|
||||
grid: {color: gridColor, offset: false},
|
||||
};
|
||||
|
||||
// Draw a "now" line at the current time position
|
||||
const nowLinePlugin = {
|
||||
id: 'nowLine',
|
||||
afterDraw(chart) {
|
||||
const nowTs = Date.now() / 1000;
|
||||
// Find which bar (if any) the current time falls in and compute a fractional index
|
||||
const firstTs = entries[0].ts;
|
||||
const lastTs = entries[N - 1].ts + periodSecs;
|
||||
if (nowTs < firstTs || nowTs > lastTs) return;
|
||||
const fracIndex = (nowTs - firstTs) / periodSecs;
|
||||
|
||||
const {ctx, chartArea} = chart;
|
||||
const scale = isMobile ? chart.scales.y : chart.scales.x;
|
||||
const pos = scale.getPixelForValue(fracIndex);
|
||||
|
||||
ctx.save();
|
||||
ctx.strokeStyle = textColor;
|
||||
ctx.lineWidth = 2;
|
||||
ctx.setLineDash([5, 4]);
|
||||
ctx.beginPath();
|
||||
if (isMobile) {
|
||||
ctx.moveTo(chartArea.left, pos);
|
||||
ctx.lineTo(chartArea.right, pos);
|
||||
} else {
|
||||
ctx.moveTo(pos, chartArea.top);
|
||||
ctx.lineTo(pos, chartArea.bottom);
|
||||
}
|
||||
ctx.stroke();
|
||||
ctx.setLineDash([]);
|
||||
ctx.fillStyle = textColor;
|
||||
ctx.font = '11px sans-serif';
|
||||
if (isMobile) {
|
||||
ctx.textAlign = 'right';
|
||||
ctx.textBaseline = 'bottom';
|
||||
ctx.fillText('Now', chartArea.right, pos - 3);
|
||||
} else {
|
||||
ctx.textAlign = 'left';
|
||||
ctx.textBaseline = 'top';
|
||||
ctx.fillText(' Now', pos, chartArea.top + 3);
|
||||
}
|
||||
ctx.restore();
|
||||
}
|
||||
};
|
||||
|
||||
// Bars centred at i+0.5 (midpoint between tick i and tick i+1) so each bar spans
|
||||
// exactly from tick i to tick i+1 with barPercentage/categoryPercentage = 1.0.
|
||||
const chartData = isMobile
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||||
? entries.map((e, i) => ({x: e.kp, y: i + 0.5}))
|
||||
: entries.map((e, i) => ({x: i + 0.5, y: e.kp}));
|
||||
|
||||
kpChart = new Chart(document.getElementById('forecast-kp-chart'), {
|
||||
type: 'bar',
|
||||
data: {
|
||||
datasets: [{
|
||||
data: chartData,
|
||||
backgroundColor: colors,
|
||||
hoverBackgroundColor: colors,
|
||||
borderWidth: 0,
|
||||
barPercentage: 1.0,
|
||||
categoryPercentage: 1.0,
|
||||
}]
|
||||
},
|
||||
options: {
|
||||
responsive: true,
|
||||
// Swap axes on mobile, and change the aspect ratio
|
||||
aspectRatio: isMobile ? 0.4 : 3,
|
||||
indexAxis: isMobile ? 'y' : 'x',
|
||||
plugins: {
|
||||
legend: {
|
||||
display: false
|
||||
},
|
||||
tooltip: {
|
||||
enabled: false
|
||||
}
|
||||
},
|
||||
scales: {
|
||||
x: isMobile ? kpAxis : timeAxis,
|
||||
y: isMobile ? timeAxis : kpAxis,
|
||||
}
|
||||
},
|
||||
plugins: [nowLinePlugin],
|
||||
});
|
||||
}
|
||||
|
||||
// Render the solar storm forecast table
|
||||
function renderSolarStormForecast(data) {
|
||||
if (!data) return;
|
||||
|
||||
const entries = Object.entries(data)
|
||||
.map(([tsStr, pct]) => ({ts: parseFloat(tsStr), pct}))
|
||||
.sort((a, b) => a.ts - b.ts);
|
||||
|
||||
// Header
|
||||
const headRow = $('#forecast-solar-storm-head').empty().append('<th></th>');
|
||||
entries.forEach(({ts}) => {
|
||||
const label = new Date(ts * 1000)
|
||||
.toLocaleDateString('en-GB', {day: '2-digit', month: 'short', timeZone: 'UTC'});
|
||||
headRow.append(`<th>${label}</th>`);
|
||||
});
|
||||
|
||||
// Single data row: "S1 or greater" label + one cell per date
|
||||
const tr = $('<tr>').append('<td>S1 or greater</td>');
|
||||
entries.forEach(({pct}) => {
|
||||
const td = $('<td>').text(pct + '%');
|
||||
td.addClass(pct < 50 ? 'bg-success-subtle' : pct < 75 ? 'bg-warning-subtle' : 'bg-danger-subtle');
|
||||
tr.append(td);
|
||||
});
|
||||
$('#forecast-solar-storm-tbody').empty().append(tr);
|
||||
}
|
||||
|
||||
// Render the radio blackout forecast table
|
||||
function renderBlackoutForecast(r1r2Data, r3Data) {
|
||||
if (!r1r2Data && !r3Data) return;
|
||||
|
||||
const tsSet = new Set([
|
||||
...Object.keys(r1r2Data || {}),
|
||||
...Object.keys(r3Data || {})
|
||||
]);
|
||||
const entries = [...tsSet]
|
||||
.map(tsStr => ({
|
||||
ts: parseFloat(tsStr),
|
||||
r1r2: r1r2Data ? r1r2Data[tsStr] : undefined,
|
||||
r3: r3Data ? r3Data[tsStr] : undefined
|
||||
}))
|
||||
.sort((a, b) => a.ts - b.ts);
|
||||
|
||||
// Header
|
||||
const headRow = $('#forecast-blackout-head').empty().append('<th></th>');
|
||||
entries.forEach(({ts}) => {
|
||||
const label = new Date(ts * 1000)
|
||||
.toLocaleDateString('en-GB', {day: '2-digit', month: 'short', timeZone: 'UTC'});
|
||||
headRow.append(`<th>${label}</th>`);
|
||||
});
|
||||
|
||||
// Two data rows: R1-R2 and R3+
|
||||
function makeRow(rowLabel, getValue) {
|
||||
const tr = $('<tr>').append(`<td>${rowLabel}</td>`);
|
||||
entries.forEach(entry => {
|
||||
const pct = getValue(entry);
|
||||
const td = $('<td>');
|
||||
if (pct !== undefined) {
|
||||
td.text(pct + '%');
|
||||
td.addClass(pct < 50 ? 'bg-success-subtle' : pct < 75 ? 'bg-warning-subtle' : 'bg-danger-subtle');
|
||||
}
|
||||
tr.append(td);
|
||||
});
|
||||
return tr;
|
||||
}
|
||||
|
||||
$('#forecast-blackout-tbody').empty()
|
||||
.append(makeRow('R1-R2', e => e.r1r2))
|
||||
.append(makeRow('R3 or greater', e => e.r3));
|
||||
}
|
||||
|
||||
// Populate the ionosonde station dropdown and restore any saved selection
|
||||
function populateIonosondeDropdown(data) {
|
||||
const select = $('#ionosonde-station');
|
||||
const savedUrsi = localStorage.getItem('#ionosonde-station:value');
|
||||
const savedValue = savedUrsi ? JSON.parse(savedUrsi) : null;
|
||||
select.empty();
|
||||
// Sort by station name rather than URSI because station name is what's displayed, and any out-of-order names might
|
||||
// confuse the user
|
||||
Object.values(data).sort((a, b) => a.name.localeCompare(b.name)).forEach(function (station) {
|
||||
select.append($('<option>', {value: station.ursi, text: station.name}));
|
||||
});
|
||||
// Select one by default if the user's localStorage has an existing selection for this
|
||||
if (savedValue && select.find('option[value="' + savedValue + '"]').length) {
|
||||
select.val(savedValue);
|
||||
}
|
||||
}
|
||||
|
||||
// Render the foF2/MUF data and line chart for the currently selected station
|
||||
function renderIonosondeData() {
|
||||
// First make sure that we have some data, that a station entry is selected in the drop-down box, and that the
|
||||
// data contains an entry for that station. If not, this represents an odd state (over and above just "no data for
|
||||
// this station", so bail out at this point. The user will have to reselect something from the list, or wait until
|
||||
// the API is behaving itself again.
|
||||
if (!ionosondeData) return;
|
||||
const ursi = $('#ionosonde-station').val();
|
||||
if (!ursi) return;
|
||||
const station = ionosondeData[ursi];
|
||||
if (!station) return;
|
||||
|
||||
// Set up some styles, matching the k-index chart. We use Bootstrap's "primary", "danger", and "success" colours
|
||||
// not for any real reason but just to get a suitable blue, red, and green that match the other colours Spothole uses
|
||||
const style = getComputedStyle(document.documentElement);
|
||||
const fof2Color = style.getPropertyValue('--bs-primary').trim();
|
||||
const mufColor = style.getPropertyValue('--bs-success').trim();
|
||||
const lufColor = style.getPropertyValue('--bs-danger').trim();
|
||||
const textColor = style.getPropertyValue('--bs-body-color').trim() || '#666';
|
||||
const gridColor = style.getPropertyValue('--bs-border-color').trim() || 'rgba(128,128,128,0.3)';
|
||||
|
||||
// Utility function to convert the dict of timestamp-to-value into just a value array in timestamp key order
|
||||
function toSeries(dict) {
|
||||
if (!dict) return [];
|
||||
return Object.entries(dict)
|
||||
.map(([tsStr, val]) => ({ts: parseFloat(tsStr), val}))
|
||||
.sort((a, b) => a.ts - b.ts);
|
||||
}
|
||||
|
||||
const fof2Entries = toSeries(station.fof2);
|
||||
const mufEntries = toSeries(station.muf);
|
||||
const lufEntries = toSeries(station.luf);
|
||||
const allTs = [...fof2Entries, ...mufEntries, ...lufEntries].map(e => e.ts);
|
||||
if (allTs.length === 0) {
|
||||
$('#ionosonde-no-data').show();
|
||||
$('#ionosonde-data-rows').hide();
|
||||
$('#ionosonde-band-state').hide();
|
||||
$('#ionosonde-chart').hide();
|
||||
if (ionosondeChart) {
|
||||
ionosondeChart.destroy();
|
||||
ionosondeChart = null;
|
||||
}
|
||||
return;
|
||||
}
|
||||
$('#ionosonde-no-data').hide();
|
||||
$('#ionosonde-data-rows').show();
|
||||
|
||||
// Populate latest values summary (visible on all screen sizes)
|
||||
const latestFof2 = fof2Entries.length ? fof2Entries[fof2Entries.length - 1].val : null;
|
||||
const latestMuf = mufEntries.length ? mufEntries[mufEntries.length - 1].val : null;
|
||||
const latestLuf = lufEntries.length ? lufEntries[lufEntries.length - 1].val : null;
|
||||
const minTs = allTs.length ? Math.min(...allTs) : null;
|
||||
const maxTs = allTs.length ? Math.max(...allTs) : null;
|
||||
if (maxTs != null) {
|
||||
const latestDate = moment.utc(maxTs * 1000);
|
||||
$('#ionosonde-latest-time').text(latestDate.format('DD MMM YYYY HH:mm [UTC]') + ' (' + latestDate.fromNow() + ')');
|
||||
}
|
||||
$('#ionosonde-latest-luf').text(latestLuf !== null ? latestLuf.toFixed(2) + ' MHz' : 'Unknown');
|
||||
$('#ionosonde-latest-fof2').text(latestFof2 !== null ? latestFof2.toFixed(2) + ' MHz' : 'Unknown');
|
||||
$('#ionosonde-latest-muf').text(latestMuf !== null ? latestMuf.toFixed(2) + ' MHz' : 'Unknown');
|
||||
$('#ionosonde-stale-warning').toggle(maxTs !== null && (Date.now() / 1000 - maxTs) > 12 * 3600);
|
||||
|
||||
// Populate band state tables. There are actually two tables to populate, which is pretty janky, but allows us to
|
||||
// display horizontally on desktop but flip it around to become a vertical list on mobile.
|
||||
const bandStateClass = {'Closed': 'bg-danger-subtle', 'Short': 'bg-primary-subtle', 'Long': 'bg-success-subtle'};
|
||||
const bandStates = station.band_states;
|
||||
if (bandStates && Object.keys(bandStates).length > 0) {
|
||||
const headRow = $('#ionosonde-band-state-head').empty();
|
||||
const dataRow = $('#ionosonde-band-state-row').empty();
|
||||
const vBody = $('#ionosonde-band-state-body').empty();
|
||||
Object.entries(bandStates).forEach(([band, state]) => {
|
||||
const cls = bandStateClass[state] || '';
|
||||
headRow.append($('<th>').addClass('text-center').text(band));
|
||||
dataRow.append($('<td>').addClass('text-center ' + cls).text(state));
|
||||
vBody.append($('<tr>').append($('<td>').addClass('fw-bold').text(band)).append($('<td>').addClass(cls).text(state)));
|
||||
});
|
||||
$('#ionosonde-band-state').show();
|
||||
} else {
|
||||
$('#ionosonde-band-state').hide();
|
||||
}
|
||||
|
||||
if (ionosondeChart) {
|
||||
ionosondeChart.destroy();
|
||||
}
|
||||
|
||||
// Compute tick positions at 3-hour UTC boundaries so midnight always lands on a tick, which triggers the date being
|
||||
// printed, and in general looks nicer than arbitrary ticks based on min & max timestamp
|
||||
const tickStep = 3 * 3600;
|
||||
const tickValues = [];
|
||||
tickValues.push(minTs);
|
||||
for (let t = Math.ceil(minTs / tickStep) * tickStep; t <= maxTs; t += tickStep) {
|
||||
tickValues.push(t);
|
||||
}
|
||||
tickValues.push(maxTs);
|
||||
|
||||
// Build time axis
|
||||
const timeAxis = {
|
||||
type: 'linear',
|
||||
min: minTs,
|
||||
max: maxTs,
|
||||
title: {display: true, text: 'Time (UTC)', color: textColor},
|
||||
afterBuildTicks(axis) {
|
||||
axis.ticks = tickValues.map(v => ({value: v}));
|
||||
},
|
||||
ticks: {
|
||||
color: textColor,
|
||||
maxRotation: 45,
|
||||
minRotation: 0,
|
||||
callback(value) {
|
||||
// Use the same type of display as in the k-index chart, where the labels on the axis are just HH:mm
|
||||
// unless that's 00:00, in which case add the short date as well.
|
||||
const dt = new Date(value * 1000);
|
||||
const h = dt.getUTCHours();
|
||||
const m = dt.getUTCMinutes();
|
||||
const timeStr = String(h).padStart(2, '0') + ':' + String(m).padStart(2, '0');
|
||||
if (h === 0 && m === 0) {
|
||||
return [timeStr, dt.toLocaleDateString('en-GB', {day: '2-digit', month: 'short', timeZone: 'UTC'})];
|
||||
}
|
||||
return timeStr;
|
||||
},
|
||||
},
|
||||
grid: {color: gridColor},
|
||||
};
|
||||
|
||||
// Build frequency axis. This is pretty normal except there's no grid, because we draw extra horizontal lines for
|
||||
// the amateur radio bands which function as grid lines for the frequency axis.
|
||||
const freqAxis = {
|
||||
min: 0,
|
||||
title: {display: true, text: 'Frequency (MHz)', color: textColor},
|
||||
ticks: {color: textColor},
|
||||
grid: {display: false},
|
||||
};
|
||||
|
||||
// List of ham bands for drawing horizontal lines
|
||||
const AMATEUR_BANDS = [
|
||||
{label: '160m', freq: 1.8},
|
||||
{label: '80m', freq: 3.5},
|
||||
{label: '60m', freq: 5.3515},
|
||||
{label: '40m', freq: 7.0},
|
||||
{label: '30m', freq: 10.1},
|
||||
{label: '20m', freq: 14.0},
|
||||
{label: '17m', freq: 18.068},
|
||||
{label: '15m', freq: 21.0},
|
||||
{label: '12m', freq: 24.89},
|
||||
{label: '10m', freq: 28.0},
|
||||
];
|
||||
|
||||
// Build the horizontal lines for each ham band, including a label on the right-hand side.
|
||||
const bandLinesPlugin = {
|
||||
id: 'bandLines',
|
||||
beforeDatasetsDraw(chart) {
|
||||
const {ctx, chartArea, scales} = chart;
|
||||
if (!scales.y) return;
|
||||
ctx.save();
|
||||
ctx.strokeStyle = gridColor;
|
||||
ctx.lineWidth = 1;
|
||||
ctx.setLineDash([]);
|
||||
// Add an extra horizontal line for 30MHz, which should correspond to the top of the chart and avoid having
|
||||
// no top "border" gridline
|
||||
const y30 = scales.y.getPixelForValue(30);
|
||||
if (y30 >= chartArea.top && y30 <= chartArea.bottom) {
|
||||
ctx.beginPath();
|
||||
ctx.moveTo(chartArea.left, y30);
|
||||
ctx.lineTo(chartArea.right, y30);
|
||||
ctx.stroke();
|
||||
}
|
||||
ctx.font = '10px sans-serif';
|
||||
ctx.fillStyle = textColor;
|
||||
// Add the ham band "grid lines"
|
||||
AMATEUR_BANDS.forEach(({label, freq}) => {
|
||||
const y = scales.y.getPixelForValue(freq);
|
||||
if (y < chartArea.top || y > chartArea.bottom) return;
|
||||
ctx.beginPath();
|
||||
ctx.moveTo(chartArea.left, y);
|
||||
ctx.lineTo(chartArea.right, y);
|
||||
ctx.stroke();
|
||||
ctx.textAlign = 'right';
|
||||
ctx.textBaseline = 'bottom';
|
||||
ctx.fillText(label, chartArea.right - 4, y - 2);
|
||||
});
|
||||
ctx.restore();
|
||||
}
|
||||
};
|
||||
|
||||
// Create the chart itself
|
||||
ionosondeChart = new Chart(document.getElementById('ionosonde-chart'), {
|
||||
type: 'line',
|
||||
data: {
|
||||
datasets: [
|
||||
{
|
||||
label: 'LUF',
|
||||
data: lufEntries.map(e => ({x: e.ts, y: e.val})),
|
||||
borderColor: lufColor,
|
||||
backgroundColor: 'transparent',
|
||||
pointRadius: 0,
|
||||
tension: 0.2,
|
||||
},
|
||||
{
|
||||
label: 'foF2',
|
||||
data: fof2Entries.map(e => ({x: e.ts, y: e.val})),
|
||||
borderColor: fof2Color,
|
||||
backgroundColor: 'transparent',
|
||||
pointRadius: 0,
|
||||
tension: 0.2,
|
||||
},
|
||||
{
|
||||
label: 'MUF (3000 km)',
|
||||
data: mufEntries.map(e => ({x: e.ts, y: e.val})),
|
||||
borderColor: mufColor,
|
||||
backgroundColor: 'transparent',
|
||||
pointRadius: 0,
|
||||
tension: 0.2,
|
||||
}
|
||||
]
|
||||
},
|
||||
options: {
|
||||
responsive: true,
|
||||
aspectRatio: 3,
|
||||
plugins: {
|
||||
legend: {display: true, labels: {color: textColor, usePointStyle: true, pointStyle: 'line'}},
|
||||
tooltip: {enabled: false}
|
||||
},
|
||||
scales: {x: timeAxis, y: freqAxis},
|
||||
},
|
||||
plugins: [bandLinesPlugin],
|
||||
});
|
||||
|
||||
// Chart canvas is normally hidden until we get here with some definitely good data. Now we have that so show it
|
||||
$('#ionosonde-chart').show();
|
||||
}
|
||||
|
||||
// Called when the ionosonde station select changes
|
||||
function ionosondeStationChanged() {
|
||||
saveSettings();
|
||||
renderIonosondeData();
|
||||
}
|
||||
|
||||
// Render the DX stats table for the currently selected DE continent
|
||||
function renderDxStats() {
|
||||
if (!dxStatsData) {
|
||||
return;
|
||||
}
|
||||
const deContinent = $('#dxstats-de-continent').val();
|
||||
const deData = dxStatsData[deContinent];
|
||||
if (!deData) {
|
||||
return;
|
||||
}
|
||||
|
||||
const cells = [];
|
||||
Object.entries(deData).forEach(function ([dxContinent, bands]) {
|
||||
Object.entries(bands).forEach(function ([band, count]) {
|
||||
const cell = $('#dxstats-' + dxContinent + '-' + band);
|
||||
cell.text(count);
|
||||
cells.push({cell, count});
|
||||
});
|
||||
});
|
||||
|
||||
const counts = cells.map(function (c) {
|
||||
return c.count;
|
||||
});
|
||||
const min = Math.min(...counts);
|
||||
const max = Math.max(...counts);
|
||||
const range = max - min;
|
||||
cells.forEach(function ({cell, count}) {
|
||||
const t = range > 0 ? (count - min) / range : 0;
|
||||
const cls = t === 0 ? 'bg-danger-subtle' : t < 0.05 ? 'bg-warning-subtle' : 'bg-success-subtle';
|
||||
cell.removeClass('bg-danger-subtle bg-warning-subtle bg-success-subtle').addClass(cls);
|
||||
});
|
||||
}
|
||||
|
||||
// Called when the DE continent select changes
|
||||
function dxStatsContientChanged() {
|
||||
saveSettings();
|
||||
renderDxStats();
|
||||
}
|
||||
|
||||
// Fetch DX stats from the API and render
|
||||
function loadDxStats() {
|
||||
$.getJSON('/api/v2/dxstats', function (jsonData) {
|
||||
dxStatsData = jsonData;
|
||||
renderDxStats();
|
||||
});
|
||||
}
|
||||
|
||||
// Startup
|
||||
$(document).ready(function () {
|
||||
loadSettings();
|
||||
loadSolarConditions();
|
||||
loadDxStats();
|
||||
});
|
||||
Reference in New Issue
Block a user