105 lines
3.5 KiB
TypeScript
105 lines
3.5 KiB
TypeScript
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import type { CityDetail, ScanOpportunityRow } from "@/lib/dashboard-types";
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import {
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formatTemperatureValue,
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normalizeTemperatureSymbol,
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} from "@/lib/temperature-utils";
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import { formatModelClusterRange } from "./opportunity-model-summary";
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import { getMetarObservationContext } from "./opportunity-observation";
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import type { V4CityForecast } from "./opportunity-v4-types";
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export function getForecastRiskItems(
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row: ScanOpportunityRow,
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detail: CityDetail | null,
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forecast: V4CityForecast,
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locale: string,
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tempSymbol?: string | null,
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) {
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const isEn = locale === "en-US";
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const obs = getMetarObservationContext(row, detail);
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const risks: string[] = [];
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const phase = String(row.window_phase || "").toLowerCase();
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if (
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phase === "early_today" ||
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phase === "setup_today" ||
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(row.minutes_until_peak_start != null && Number(row.minutes_until_peak_start) > 0)
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) {
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risks.push(
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isEn
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? "Peak window has not arrived; current METAR is only path evidence."
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: "峰值窗口尚未到达，当前 METAR 只能作为路径证据。",
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);
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}
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if (row.trend_alignment === false) {
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risks.push(
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isEn
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? "Intraday observation path does not fully support the forecast center."
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: "日内实况路径还没有完全支持预测中枢。",
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);
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}
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if (forecast.paceRead && forecast.paceTone !== "neutral") {
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risks.push(
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isEn
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? `Observed pace is deviating from the DEB curve: ${forecast.paceRead}`
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: `实测节奏正在偏离 DEB 曲线：${forecast.paceRead}`,
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);
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}
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if (obs.stale || obs.lastTemp == null) {
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risks.push(
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isEn
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? "Same-day METAR confirmation is still weak."
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: "同日 METAR 确认仍然偏弱。",
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);
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}
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if (forecast.low != null && forecast.high != null) {
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const spread = Math.abs(forecast.high - forecast.low);
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const wide = String(normalizeTemperatureSymbol(tempSymbol)).toUpperCase().includes("F")
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? spread > 2
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: spread > 1;
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if (wide) {
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risks.push(
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isEn
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? "Model range is wide; treat boundary buckets conservatively."
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: "模型区间偏宽，边界温度桶需要保守处理。",
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);
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}
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}
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if (!risks.length) {
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risks.push(
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isEn
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? "Residual risk is late METAR revision or a shifted afternoon peak."
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: "残余风险主要是后续 METAR 修订或峰值窗口漂移。",
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);
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}
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return Array.from(new Set(risks)).slice(0, 3);
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}
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export function getDecisionReasonItems(
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row: ScanOpportunityRow,
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forecast: V4CityForecast,
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modelSupportText: string,
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locale: string,
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tempSymbol?: string | null,
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) {
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const isEn = locale === "en-US";
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const modelRange = formatModelClusterRange(row.model_cluster_sources, tempSymbol);
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const reasons: string[] = [];
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if (modelRange !== "--") {
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reasons.push(
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isEn
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? `Model cluster sits around ${modelRange}; ${modelSupportText}.`
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: `模型区间集中在 ${modelRange}，${modelSupportText}。`,
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);
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}
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if (forecast.predicted != null) {
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reasons.push(
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isEn
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? `AI high-temperature center is ${formatTemperatureValue(forecast.predicted, tempSymbol, { digits: 1 })}.`
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: `AI 最高温中枢约 ${formatTemperatureValue(forecast.predicted, tempSymbol, { digits: 1 })}。`,
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);
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}
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if (forecast.paceRead) reasons.push(forecast.paceRead);
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if (forecast.peakWindow) reasons.push(forecast.peakWindow);
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if (forecast.weatherRead) reasons.push(forecast.weatherRead);
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return Array.from(new Set(reasons)).slice(0, 3);
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}
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