Plot live chart observations immediately

This commit is contained in:
2569718930@qq.com
2026-06-10 12:56:43 +08:00
parent 98026e510a
commit 93fe7a9b69
4 changed files with 184 additions and 8 deletions
@@ -57,7 +57,7 @@ const PEAK_GLOW_BADGE_CLASS = {
cooling: "border-slate-200 bg-slate-100 text-slate-500",
} as const;
const PROBABILITY_REFRESH_AFTER_PATCH_MS = 60_000;
const PROBABILITY_REFRESH_AFTER_PATCH_MS = DASHBOARD_REFRESH_POLICY_MS.metar;
const FOREGROUND_FULL_DETAIL_REFRESH_DEDUP_MS = 90_000;
const NO_PATCH_FULL_DETAIL_FALLBACK_MS = DASHBOARD_REFRESH_POLICY_MS.metar;
const DETAIL_LOAD_BATCH_DELAY_MS = 0;
@@ -94,6 +94,11 @@ export async function runTests() {
chartSource.includes("setHourly(data)"),
"visible chart fallback must refresh the full city detail payload at the current chart resolution when SSE patches stop",
);
assert(
chartSource.includes("PROBABILITY_REFRESH_AFTER_PATCH_MS = DASHBOARD_REFRESH_POLICY_MS.metar") &&
!chartSource.includes("PROBABILITY_REFRESH_AFTER_PATCH_MS = 60_000"),
"live observation patches should update the plotted line immediately and throttle heavy probability/detail refreshes to METAR cadence",
);
assert(
chartLogicSource.includes("HOURLY_FORCE_REFRESH_DEDUP_MS") &&
chartLogicSource.includes("maxAgeMs: HOURLY_FORCE_REFRESH_DEDUP_MS") &&
@@ -1,7 +1,11 @@
import { getTemperatureChartData } from "@/lib/chart-utils";
import type { CityDetail } from "@/lib/dashboard-types";
import { buildDebBaselinePath } from "@/lib/temperature-chart-paths";
import { buildFullDayChartData } from "@/components/dashboard/scan-terminal/temperature-chart-logic";
import {
buildFullDayChartData,
mergePatchIntoHourly,
seedHourlyForecastFromRow,
} from "@/components/dashboard/scan-terminal/temperature-chart-logic";
function assert(condition: unknown, message: string) {
if (!condition) throw new Error(message);
@@ -247,4 +251,46 @@ export function runTests() {
normalBaseline.debPast.some((t) => t != null) && normalBaseline.debFuture.some((t) => t != null),
"Normal city: both past and future portions should have data",
);
const guangzhouRow = {
city: "guangzhou",
local_date: "2026-06-10",
local_time: "12:45",
current_temp: 28.4,
current_max_so_far: 29,
temp_symbol: "°C",
tz_offset_seconds: 8 * 3600,
metar_context: {
source: "amsc_awos",
station_label: "AMSC AWOS",
airport_current_temp: 28.4,
airport_obs_time: "12:45",
airport_max_so_far: 29,
},
} as any;
const seededGuangzhou = seedHourlyForecastFromRow(guangzhouRow);
const guangzhouLiveChart = buildFullDayChartData(guangzhouRow, seededGuangzhou, false);
const guangzhouSettlementRunway = guangzhouLiveChart.series.find((item) => item.key === "runway_02L_20R");
assert(
guangzhouSettlementRunway?.values.some((value) => value === 28.4),
"row-seeded runway cities must plot the latest scan-row observation immediately instead of waiting for city detail",
);
const guangzhouPatched = mergePatchIntoHourly(seededGuangzhou, {
city: "guangzhou",
revision: 42,
changes: {
temp: 28.8,
observed_at_local: "12:48",
obs_time: "12:48",
source: "amsc_awos",
runway_points: [{ runway: "02L/20R", temp: 28.8 }],
},
});
const guangzhouPatchedChart = buildFullDayChartData(guangzhouRow, guangzhouPatched, false);
const patchedRunway = guangzhouPatchedChart.series.find((item) => item.key === "runway_02L_20R");
assert(
patchedRunway?.values.some((value) => value === 28.8),
"SSE runway patches must append directly to the chart series without waiting for a force-refreshed detail payload",
);
}
@@ -597,7 +597,7 @@ function filterRunwayHistoryToLocalDay(
...item,
points: filterTimelinePointsToLocalDay(item.points, bounds),
}))
.filter((item) => item.points.length > 1);
.filter((item) => item.points.length > 0);
}
function formatTimestamp(ts: number): string {
@@ -938,6 +938,103 @@ function runwayPatchPointsFromRunwayObs(runwayObs: any) {
.filter((point: any): point is { runway: string; temp: number; target_runway_max: number } => point !== null);
}
function rowCurrentObservation(row: ScanOpportunityRow | null) {
if (!row) return null;
const metarContext = row.metar_context || null;
const temp =
validNumber(row.current_temp) ??
validNumber(metarContext?.airport_current_temp) ??
validNumber(metarContext?.last_temp);
const time =
metarContext?.airport_obs_time ||
metarContext?.last_observation_time ||
metarContext?.last_time ||
row.local_time ||
null;
if (temp === null || !time) return null;
const maxSoFar =
validNumber(row.current_max_so_far) ??
validNumber(metarContext?.airport_max_so_far) ??
validNumber(metarContext?.max_temp) ??
temp;
return {
temp,
time: String(time),
maxSoFar,
sourceCode: String(metarContext?.source || "").trim() || null,
sourceLabel: String(metarContext?.station_label || metarContext?.source || "").trim() || null,
};
}
function appendRawObservationPoint(
points: RawObsPoint[] | null | undefined,
time: string,
temp: number,
) {
const merged = [...(points || [])];
const normalizedTime = String(time || "").trim();
if (!normalizedTime) return merged;
const exists = merged
.map(normalizeRawObsPoint)
.some((point) => point?.time === normalizedTime && validNumber(point.temp) === temp);
if (!exists) merged.push([normalizedTime, temp]);
return merged.slice(-MAX_OBS_POINTS);
}
function rowLooksLikeRunwaySensor(row: ScanOpportunityRow | null) {
const cityKey = normalizeCityKey(row?.city);
const sourceText = [
row?.metar_context?.source,
row?.metar_context?.station,
row?.metar_context?.station_label,
row?.airport,
]
.map((value) => String(value || "").toLowerCase())
.join(" ");
return (
AMSC_RUNWAY_CITIES.has(cityKey) ||
sourceText.includes("amsc") ||
sourceText.includes("awos") ||
sourceText.includes("runway")
);
}
function seedRunwayPlateHistoryFromRow(
row: ScanOpportunityRow | null,
existing: Record<string, Array<Record<string, unknown>>> | undefined,
) {
const current = rowCurrentObservation(row);
const cityKey = normalizeCityKey(row?.city);
const settlementPairs = SETTLEMENT_RUNWAY_PAIRS[cityKey] || [];
if (!current || !settlementPairs.length || !rowLooksLikeRunwaySensor(row)) {
return existing;
}
const history: Record<string, Array<Record<string, unknown>>> = {};
Object.entries(existing || {}).forEach(([rwy, points]) => {
if (Array.isArray(points)) history[rwy] = [...points];
});
settlementPairs.forEach((pair) => {
const rwy = `${normalizeRunwayLabel(pair[0])}/${normalizeRunwayLabel(pair[1])}`;
const rwyHistory = history[rwy] || [];
const exists = rwyHistory.some((point) => {
return point.timestamp === current.time || point.time === current.time || point.observed_at === current.time;
});
if (exists) return;
history[rwy] = [
...rwyHistory,
{
timestamp: current.time,
temp_c: current.temp,
value: current.temp,
},
].slice(-MAX_OBS_POINTS);
});
return Object.keys(history).length ? history : existing;
}
type HourlyForecast = {
forecastTodayHigh?: number | null;
debPrediction?: number | null;
@@ -966,6 +1063,32 @@ type HourlyForecast = {
function seedHourlyForecastFromRow(row: ScanOpportunityRow | null): HourlyForecast {
if (!row) return null;
const current = rowCurrentObservation(row);
const sourceCode = current?.sourceCode || undefined;
const sourceLabel = current?.sourceLabel || undefined;
const airportCurrent = current
? {
temp: current.temp,
obs_time: current.time,
max_so_far: current.maxSoFar,
source_code: sourceCode,
source_label: sourceLabel,
}
: null;
const airportPrimary = current
? {
temp: current.temp,
obs_time: current.time,
max_so_far: current.maxSoFar,
source_code: sourceCode,
source_label: sourceLabel,
source: sourceCode,
}
: null;
const seededRunwayPlateHistory = seedRunwayPlateHistoryFromRow(
row,
(row as any)?.runway_plate_history || undefined,
);
return {
forecastTodayHigh: null,
debPrediction: validNumber(row.deb_prediction),
@@ -976,12 +1099,12 @@ function seedHourlyForecastFromRow(row: ScanOpportunityRow | null): HourlyForeca
times: [],
temps: [],
modelCurves: undefined,
runwayPlateHistory: (row as any)?.runway_plate_history || undefined,
runwayPlateHistory: seededRunwayPlateHistory,
runwayBandHistory: undefined,
amos: null,
current: null,
airportCurrent: null,
airportPrimary: null,
airportCurrent,
airportPrimary,
wundergroundCurrent: (row as any)?.wunderground_current || null,
forecastDaily: [],
multiModelDaily: {},
@@ -992,7 +1115,9 @@ function seedHourlyForecastFromRow(row: ScanOpportunityRow | null): HourlyForeca
},
settlementTodayObs: row.settlement_today_obs || row.metar_context?.settlement_today_obs || undefined,
metarTodayObs: row.metar_today_obs || row.metar_context?.today_obs || row.metar_recent_obs || row.metar_context?.recent_obs || undefined,
airportPrimaryTodayObs: undefined,
airportPrimaryTodayObs: current
? appendRawObservationPoint(undefined, current.time, current.temp)
: undefined,
};
}
@@ -1942,7 +2067,7 @@ function buildFullDayChartData(
localDayBounds,
);
const runwayHistorySeries = filterRunwayHistoryToLocalDay(
buildRunwayHistorySeries(row, hourly, tzOffset, localDateStr, 2, isEn),
buildRunwayHistorySeries(row, hourly, tzOffset, localDateStr, 1, isEn),
localDayBounds,
);