Preserve chart models during live updates

This commit is contained in:
2569718930@qq.com
2026-06-15 02:04:55 +08:00
parent c79e0f36cc
commit 4210f5f753
2 changed files with 214 additions and 4 deletions
@@ -408,6 +408,136 @@ export function runTests() {
"older automatic detail refreshes must preserve the newer visible chart probability payload",
);
const richGuangzhouDetail = {
...seededGuangzhou,
localDate: "2026-06-10",
localTime: "12:50",
times: ["00:00", "12:00", "18:00"],
temps: [25, 31, 28],
debPrediction: 32.2,
debHourlyPath: {
times: ["00:00", "12:00", "18:00"],
temps: [25.2, 32.2, 28.4],
},
modelTimes: ["00:00", "12:00", "18:00"],
modelCurves: {
GFS: [25, 31.5, 28],
ECMWF: [24.8, 32, 28.2],
},
multiModelDaily: {
GFS: { high: 31.5 },
ECMWF: { high: 32 },
},
airportPrimary: { temp: 28.4, obs_time: "12:50", max_so_far: 31 },
airportPrimaryTodayObs: [["12:50", 28.4]],
} as any;
const freshObservationOnlyDetail = {
...seededGuangzhou,
localDate: "2026-06-10",
localTime: "12:55",
times: ["00:00", "12:00", "18:00"],
temps: [25, 31, 28],
debPrediction: null,
debHourlyPath: null,
modelTimes: undefined,
modelCurves: undefined,
multiModelDaily: {},
airportPrimary: { temp: 28.9, obs_time: "12:55", max_so_far: 31 },
airportPrimaryTodayObs: [["12:55", 28.9]],
} as any;
const mergedFreshObservationWithRichDetail = mergeHourlyWithLiveObservations(
freshObservationOnlyDetail,
richGuangzhouDetail,
guangzhouRow,
);
assert(
mergedFreshObservationWithRichDetail?.debPrediction === 32.2,
"fresh observation-only detail refreshes must preserve the existing DEB prediction",
);
assert(
Object.keys(mergedFreshObservationWithRichDetail?.modelCurves || {}).length === 2,
"fresh observation-only detail refreshes must preserve existing multi-model hourly curves",
);
assert(
Object.keys(mergedFreshObservationWithRichDetail?.multiModelDaily || {}).length === 2,
"fresh observation-only detail refreshes must preserve existing multi-model daily payloads",
);
assert(
mergedFreshObservationWithRichDetail?.airportPrimary?.obs_time === "12:55",
"fresh observation-only detail refreshes must still update the live observation timestamp",
);
const guangzhouNonUsMadisChart = buildFullDayChartData(
{
city: "guangzhou",
local_date: "2026-06-10",
local_time: "12:55",
tz_offset_seconds: 8 * 60 * 60,
airport: "ZGGG",
temp_symbol: "°C",
} as any,
{
localDate: "2026-06-10",
localTime: "12:55",
times: ["00:00", "12:00", "18:00"],
temps: [25, 31, 28],
airportPrimary: {
source_code: "madis_hfmetar",
source_label: "NOAA MADIS",
station_code: "ZGGG",
temp: 28.9,
obs_time: "2026-06-10T04:55:00Z",
},
airportPrimaryTodayObs: [["2026-06-10T04:55:00Z", 28.9]],
} as any,
false,
);
const guangzhouNonUsMadisSeries = guangzhouNonUsMadisChart.series.find((item) => item.key === "madis");
assert(
guangzhouNonUsMadisSeries?.label === "ZGGG METAR",
"NOAA MADIS label should be reserved for US airports; non-US airport-primary fallback should use METAR wording",
);
const guangzhouRunwayWithBadMadisChart = buildFullDayChartData(
{
city: "guangzhou",
local_date: "2026-06-10",
local_time: "12:55",
tz_offset_seconds: 8 * 60 * 60,
airport: "ZGGG",
temp_symbol: "°C",
} as any,
{
localDate: "2026-06-10",
localTime: "12:55",
times: ["00:00", "12:00", "18:00"],
temps: [25, 31, 28],
airportPrimary: {
source_code: "madis_hfmetar",
source_label: "NOAA MADIS",
station_code: "ZGGG",
temp: 28.9,
obs_time: "2026-06-10T04:55:00Z",
},
airportPrimaryTodayObs: [["2026-06-10T04:55:00Z", 28.9]],
runwayPlateHistory: {
"02L/20R": [
{ timestamp: "12:51", temp_c: 28, value: 28 },
{ timestamp: "12:55", temp_c: 28.4, value: 28.4 },
],
},
} as any,
false,
);
assert(
guangzhouRunwayWithBadMadisChart.series.some((item) => item.key === "runway_02L_20R"),
"Guangzhou runway history should render the settlement runway line",
);
assert(
!guangzhouRunwayWithBadMadisChart.series.some((item) => item.key === "madis"),
"AMSC runway cities should not show a redundant NOAA MADIS aggregate series when runway observations are present",
);
const chengduDetail = {
forecastTodayHigh: null,
debPrediction: 31,
@@ -726,6 +726,26 @@ function canonicalAirportPrimarySourceLabel(hourly: HourlyForecast) {
return "";
}
function airportCodeForSeriesLabel(
hourly: HourlyForecast,
row?: ScanOpportunityRow | null,
) {
const candidates = [
hourly?.airportPrimary?.station_code,
(hourly?.airportPrimary as any)?.icao,
row?.airport,
row?.metar_context?.station,
];
const code = candidates
.map((value) => String(value || "").trim().toUpperCase())
.find(Boolean);
return code || "";
}
function isUsAirportCode(value: string) {
return /^K[A-Z0-9]{3}$/.test(String(value || "").trim().toUpperCase());
}
function isGenericAirportPrimaryLabel(label: string) {
const normalized = label.trim().toLowerCase();
return (
@@ -736,12 +756,20 @@ function isGenericAirportPrimaryLabel(label: string) {
);
}
function airportPrimarySeriesLabel(hourly: HourlyForecast, isHKO: boolean) {
function airportPrimarySeriesLabel(
hourly: HourlyForecast,
isHKO: boolean,
row?: ScanOpportunityRow | null,
) {
if (isHKO) return "HKO";
const canonicalLabel = canonicalAirportPrimarySourceLabel(hourly);
if (canonicalLabel === "MGM") return canonicalLabel;
const payloadLabel = String(hourly?.airportPrimary?.source_label || "").trim();
if (payloadLabel && !isGenericAirportPrimaryLabel(payloadLabel)) return payloadLabel;
if (canonicalLabel === "NOAA MADIS" && !isUsAirportCode(airportCodeForSeriesLabel(hourly, row))) {
const stationCode = airportCodeForSeriesLabel(hourly, row);
return stationCode ? `${stationCode} METAR` : "METAR";
}
return canonicalLabel || payloadLabel || "NOAA MADIS";
}
@@ -1143,6 +1171,39 @@ function hasFullHourlyDetailPayload(hourly: HourlyForecast) {
);
}
function hasArrayItems<T>(value: T[] | null | undefined): value is T[] {
return Array.isArray(value) && value.length > 0;
}
function hasProbabilityPayload(value: LegacyGaussianProbabilitySource | null | undefined) {
const distribution =
value?.distribution_all ||
value?.distribution ||
[];
return Boolean(value?.mu != null || distribution.length > 0 || value?.engine);
}
function preferNumber(
primary: number | null | undefined,
fallback: number | null | undefined,
) {
return validNumber(primary) ?? validNumber(fallback) ?? null;
}
function preferArray<T>(
primary: T[] | null | undefined,
fallback: T[] | null | undefined,
) {
return hasArrayItems(primary) ? primary : fallback;
}
function preferRecord<T>(
primary: Record<string, T> | null | undefined,
fallback: Record<string, T> | null | undefined,
) {
return hasRecordEntries(primary) ? primary : fallback;
}
function latestRawObservationRank(
points: RawObsPoint[] | null | undefined,
row: ScanOpportunityRow | null,
@@ -1372,6 +1433,7 @@ function mergeHourlyWithLiveObservations(
if (!live) return base;
if (hourlyLocalDatesConflict(base, live, row)) return base;
const detailSource = shouldKeepLiveHourlyDetailPayload(base, live, row) ? live : base;
const forecastFallback = detailSource === base ? live : base;
const localDate = detailSource.localDate || base.localDate || live.localDate || row?.local_date || null;
const runwayPlateHistory = mergeRunwayPlateHistory(base.runwayPlateHistory, live.runwayPlateHistory);
const amos = runwayPlateHistory
@@ -1384,6 +1446,19 @@ function mergeHourlyWithLiveObservations(
...detailSource,
localDate,
localTime: live.localTime || base.localTime,
forecastTodayHigh: preferNumber(detailSource.forecastTodayHigh, forecastFallback.forecastTodayHigh),
debPrediction: preferNumber(detailSource.debPrediction, forecastFallback.debPrediction),
debQuality: hasRecordEntries(detailSource.debQuality) ? detailSource.debQuality : forecastFallback.debQuality,
debHourlyPath: detailSource.debHourlyPath || forecastFallback.debHourlyPath || null,
times: preferArray(detailSource.times, forecastFallback.times) || [],
temps: preferArray(detailSource.temps, forecastFallback.temps) || [],
modelTimes: preferArray(detailSource.modelTimes, forecastFallback.modelTimes) || undefined,
modelCurves: preferRecord(detailSource.modelCurves, forecastFallback.modelCurves) || undefined,
forecastDaily: preferArray(detailSource.forecastDaily, forecastFallback.forecastDaily) || [],
multiModelDaily: preferRecord(detailSource.multiModelDaily, forecastFallback.multiModelDaily) || {},
probabilities: hasProbabilityPayload(detailSource.probabilities)
? detailSource.probabilities
: forecastFallback.probabilities || null,
runwayPlateHistory,
amos,
airportCurrent: mergeAirportCondition(base.airportCurrent, live.airportCurrent, row, localDate),
@@ -2435,9 +2510,14 @@ function buildFullDayChartData(
const isHKOCity = settlementCityKey === 'hongkong' || settlementCityKey === 'laufaushan'
|| settlementCityKey === 'shenzhen' || (row?.city || '').toLowerCase().includes('hong kong')
|| (row?.city || '').toLowerCase().includes('lau fau shan');
const airportPrimarySourceText = [
(hourly?.airportPrimary as any)?.source,
hourly?.airportPrimary?.source_code,
hourly?.airportPrimary?.source_label,
].map((value) => String(value || "").toLowerCase()).join(" ");
const isAmscSource =
(hourly?.airportPrimary as any)?.source === "amsc_awos" ||
String(hourly?.airportPrimary?.source_label || "").toLowerCase().includes("amsc");
airportPrimarySourceText.includes("amsc") ||
(AMSC_RUNWAY_CITIES.has(settlementCityKey) && runwayHistorySeries.length > 0);
const isKoreanAmosSource =
(settlementCityKey === "seoul" || settlementCityKey === "busan") &&
(
@@ -2555,7 +2635,7 @@ function buildFullDayChartData(
if (madisVals.some((v) => v !== null)) {
series.push({
key: "madis",
label: airportPrimarySeriesLabel(hourly, isHKO),
label: airportPrimarySeriesLabel(hourly, isHKO, row),
source: isHKO ? "HKO" : (hourly?.airportPrimary?.station_code || row?.airport || "MADIS"),
color: "#0284c7",
dashed: isHKO ? true : false,