feat: Add multi-source weather data collection and a web application for display.
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@@ -445,6 +445,10 @@ def _analyze(city: str) -> Dict[str, Any]:
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"status": peak_status,
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},
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"hourly": today_hourly,
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"metar_today_obs": [
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{"time": t, "temp": v}
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for t, v in (metar.get("today_obs", []) if metar else [])
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],
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"ai_analysis": ai_text,
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"updated_at": datetime.now(timezone.utc).isoformat(),
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}
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+17
-7
@@ -476,15 +476,25 @@ function renderChart(data) {
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curIdx < 0 || i >= curIdx ? t : null,
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);
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// METAR observation scatter points
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// METAR observation scatter points — use full today's obs if available
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const metarPoints = new Array(times.length).fill(null);
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const metarRecent = data.trend?.recent || [];
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if (metarRecent.length > 0) {
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metarRecent.forEach((r) => {
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// Match METAR time (e.g. "15:00") to chart time labels
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const idx = times.indexOf(r.time);
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const metarSrc = data.metar_today_obs?.length
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? data.metar_today_obs
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: data.trend?.recent || [];
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if (metarSrc.length > 0) {
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metarSrc.forEach((r) => {
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// METAR time may be "14:20" but chart labels are whole hours "14:00"
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const parts = r.time.split(":");
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let h = parseInt(parts[0], 10);
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const m = parseInt(parts[1] || "0", 10);
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if (m >= 30) h = (h + 1) % 24; // round to nearest hour
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const hourKey = h.toString().padStart(2, "0") + ":00";
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const idx = times.indexOf(hourKey);
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if (idx >= 0) {
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metarPoints[idx] = r.temp;
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// If multiple METARs map to the same hour, keep the latest (first in array)
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if (metarPoints[idx] === null) {
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metarPoints[idx] = r.temp;
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}
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}
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});
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}
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