Files
PolyWeather/frontend/components/dashboard/scan-terminal/ai-city-forecast-stream-state.ts
T
2569718930@qq.com b122e7cbae Stabilize the decision workspace data boundaries
The scan terminal had grown into overlapping CSS, request-state, AI-provider, and city-card data responsibilities. This refactor separates those boundaries without changing product behavior: CSS modules are split by surface, city AI prompt/provider/fallback logic is isolated, and scan terminal request state now has reusable RemoteData adapters plus business-state tests.

Constraint: Preserve existing global scan-terminal class names and API responses during the refactor

Constraint: No new dependencies; keep this as a file-boundary cleanup

Rejected: Introduce React Query now | higher migration risk than the requested lightweight query-client path

Rejected: Rewrite AI stream behavior | progressive/fallback states are product-sensitive and were only adapter-split

Confidence: high

Scope-risk: moderate

Reversibility: clean

Directive: Keep AI stream state changes covered by business snapshots before changing fallback/cache wording

Tested: npm run test:business; npx tsc --noEmit; npm run build; python pytest -q; ruff check; py_compile targeted city AI modules

Not-tested: Live DeepSeek provider network replay and browser visual QA
2026-04-28 14:45:34 +08:00

347 lines
11 KiB
TypeScript

import type { AiCityStreamProgress } from "@/components/dashboard/scan-terminal/scan-terminal-client";
import {
buildStorageKey,
readCachedPayload,
removeCachedPayload,
writeCachedPayload,
} from "@/components/dashboard/scan-terminal/scan-terminal-cache";
import type {
AiCityForecastPayload,
AiCityForecastState,
} from "@/components/dashboard/scan-terminal/types";
import type { CityDetail } from "@/lib/dashboard-types";
import { normalizeCityKey } from "./decision-utils";
const AI_CITY_FORECAST_CACHE_PREFIX = "polyWeather_aiCityForecast_v6";
const AI_CITY_FORECAST_CACHE_TTL_MS = 60 * 60 * 1000;
const aiCityForecastStateCache = new Map<
string,
{ state: AiCityForecastState; updatedAt: number }
>();
function isHkoObservationCity(detail?: CityDetail | null) {
const source = String(
detail?.current?.settlement_source ||
detail?.settlement_station?.settlement_source ||
"",
)
.trim()
.toLowerCase();
return source === "hko";
}
export function buildAiCityForecastKey({
detail,
detailCityName,
locale,
report,
}: {
detail: CityDetail | null;
detailCityName: string;
locale: string;
report: string;
}) {
if (!detail) return "";
const isHkoObservation = isHkoObservationCity(detail);
const observationSource = isHkoObservation ? "hko" : "metar";
const observationCurrent = isHkoObservation
? detail.current || {}
: detail.airport_current || detail.current || {};
const observationSignature =
(!isHkoObservation ? String(report || "").trim() : "") ||
[
observationSource,
observationCurrent.report_time,
observationCurrent.obs_time_epoch,
observationCurrent.obs_time,
observationCurrent.receipt_time,
observationCurrent.temp,
observationCurrent.max_so_far,
observationCurrent.station_code,
detail.metar_status?.stale_for_today,
detail.metar_status?.last_observation_time,
]
.filter((part) => part != null && part !== "")
.join("|");
return [
normalizeCityKey(detailCityName),
detail.local_date || "",
locale,
observationSignature,
].join(":");
}
export function buildAiCityForecastCacheKey(aiForecastKey: string) {
return buildStorageKey(AI_CITY_FORECAST_CACHE_PREFIX, [aiForecastKey]);
}
export function buildAiCityForecastRequestKey(cacheKey: string, refreshToken: number) {
return `${cacheKey}:${refreshToken > 0 ? `refresh:${refreshToken}` : "normal"}`;
}
export function readCachedAiForecastState(key: string) {
const cached = aiCityForecastStateCache.get(key);
if (!cached) return null;
if (Date.now() - cached.updatedAt > AI_CITY_FORECAST_CACHE_TTL_MS) {
aiCityForecastStateCache.delete(key);
return null;
}
return cached.state;
}
export function writeCachedAiForecastState(
key: string,
state: AiCityForecastState,
) {
if (!key || state.status === "idle") return;
aiCityForecastStateCache.set(key, {
state,
updatedAt: Date.now(),
});
}
export function readReadyCachedAiForecastState(cacheKey: string, refreshToken: number) {
if (refreshToken > 0) return null;
const cachedPayload = readCachedPayload<AiCityForecastPayload>(
cacheKey,
AI_CITY_FORECAST_CACHE_TTL_MS,
);
if (cachedPayload) {
if (
cachedPayload.status === "ready" &&
!cachedPayload.degraded &&
cachedPayload.city_forecast
) {
const readyState: AiCityForecastState = {
payload: cachedPayload,
status: "ready",
};
writeCachedAiForecastState(cacheKey, readyState);
return readyState;
}
removeCachedPayload(cacheKey);
}
const cachedState = readCachedAiForecastState(cacheKey);
return cachedState?.status === "ready" ? cachedState : null;
}
function getAiCityStreamProgressText(
progress: AiCityStreamProgress,
isEn: boolean,
) {
const localizedMessage = String(
(isEn ? progress.message_en : progress.message_zh) ||
(isEn ? progress.final_judgment_en : progress.final_judgment_zh) ||
(isEn ? progress.metar_read_en : progress.metar_read_zh) ||
"",
).trim();
if (localizedMessage) return localizedMessage;
const rawLength = Number(progress.raw_length);
if (Number.isFinite(rawLength) && rawLength > 0) {
return isEn
? `DeepSeek is streaming the observation enhancement... ${Math.round(rawLength)} chars received.`
: `DeepSeek 正在流式增强观测解读... 已收到 ${Math.round(rawLength)} 字符。`;
}
return "";
}
export function buildAiCityFallbackPayload({
detail,
error,
isEn,
report,
}: {
detail: CityDetail | null;
error?: unknown;
isEn: boolean;
report: string;
}): AiCityForecastPayload {
const tempSymbol = detail?.temp_symbol || "°C";
const isHkoObservation = isHkoObservationCity(detail);
const currentTemp =
(isHkoObservation
? detail?.current?.temp
: detail?.airport_current?.temp ??
detail?.airport_primary?.temp ??
detail?.current?.temp) ?? null;
const currentText =
currentTemp != null && Number.isFinite(Number(currentTemp))
? `${Number(currentTemp).toFixed(1)}${tempSymbol}`
: isEn
? "the latest observed temperature"
: "最新实测温度";
const timeoutLike = /timeout|timed out|504|aborted|超时/i.test(String(error || ""));
const rawMetar = isHkoObservation
? ""
: String(report || detail?.airport_current?.raw_metar || detail?.current?.raw_metar || "").trim();
const sourceZh = isHkoObservation ? "香港天文台观测" : "METAR";
const sourceEn = isHkoObservation ? "Hong Kong Observatory observation" : "METAR";
const bulletinZh = isHkoObservation ? "官方观测" : "机场报文";
const bulletinEn = isHkoObservation ? "official observation" : "airport bulletin";
const finalZh = timeoutLike
? `DeepSeek 增强暂未返回;当前先以多模型集中度和最新${sourceZh}快速判断。`
: `当前先以多模型集中度和最新${sourceZh}快速判断。`;
const finalEn = timeoutLike
? `DeepSeek enhancement is not back yet; use the model cluster and latest ${sourceEn} as the fast working read.`
: `Use the model cluster and latest ${sourceEn} as the fast working read.`;
const metarZh = rawMetar
? `最新 METAR 显示 ${currentText};当前先作为实况锚点,并结合后续报文确认温度路径。`
: `当前可先参考 ${currentText} 与多模型路径,等待下一次${bulletinZh}更新。`;
const metarEn = rawMetar
? `Latest METAR shows ${currentText}; use it as the live anchor while later reports confirm the path.`
: `Use ${currentText} and the model path for now while waiting for the next ${bulletinEn}.`;
const reasonZh = `DEB、多模型集合和最新${sourceZh}已足够给出当前方向判断;页面会在 DeepSeek 返回后合并完整机场报文解读。`;
const reasonEn = `DEB, the model cluster and latest ${sourceEn} are enough for the current directional read; the page will merge the full airport-bulletin read when DeepSeek returns.`;
return {
city_forecast: {
confidence: "low",
final_judgment_en: finalEn,
final_judgment_zh: finalZh,
metar_read_en: metarEn,
metar_read_zh: metarZh,
model_cluster_note_en: "",
model_cluster_note_zh: "",
predicted_max: null,
range_high: null,
range_low: null,
reasoning_en: reasonEn,
reasoning_zh: reasonZh,
risks_en: [],
risks_zh: [],
unit: tempSymbol,
},
raw_reason: timeoutLike ? "ai_timeout_fallback" : "ai_unavailable_fallback",
reason: isEn ? reasonEn : reasonZh,
reason_en: reasonEn,
reason_zh: reasonZh,
status: timeoutLike ? "timeout_fallback" : "fallback",
};
}
export function buildAiCityLoadingForecastState({
cacheKey,
detail,
isEn,
report,
}: {
cacheKey: string;
detail: CityDetail | null;
isEn: boolean;
report: string;
}) {
const cachedState = readCachedAiForecastState(cacheKey);
const initialFallback = buildAiCityFallbackPayload({ detail, isEn, report });
const loadingState: AiCityForecastState =
cachedState?.status === "loading"
? cachedState
: {
status: "loading",
streamText:
(isEn
? initialFallback.city_forecast?.metar_read_en
: initialFallback.city_forecast?.metar_read_zh) ||
(isEn
? "Reading the latest observation with model fallback ready..."
: "已先用最新观测给出兜底解读,正在等待 DeepSeek 补充…"),
};
writeCachedAiForecastState(cacheKey, loadingState);
return loadingState;
}
export function buildAiCityProgressForecastState({
cacheKey,
current,
isEn,
progress,
}: {
cacheKey: string;
current: AiCityForecastState;
isEn: boolean;
progress: AiCityStreamProgress;
}) {
const progressText = getAiCityStreamProgressText(progress, isEn);
if (!progressText) return null;
const cachedProgressState = readCachedAiForecastState(cacheKey);
const nextStreamText =
progress.stage === "calling_ai" && cachedProgressState?.streamText
? cachedProgressState.streamText
: progressText;
const cachedNextState: AiCityForecastState = {
...cachedProgressState,
status: "loading",
streamText: nextStreamText,
};
writeCachedAiForecastState(cacheKey, cachedNextState);
return {
...current,
status: "loading",
streamText:
progress.stage === "calling_ai" && current.streamText
? current.streamText
: progressText,
} satisfies AiCityForecastState;
}
export function buildAiCityReadyForecastState({
cacheKey,
detail,
isEn,
payload,
report,
}: {
cacheKey: string;
detail: CityDetail | null;
isEn: boolean;
payload: AiCityForecastPayload;
report: string;
}) {
const usablePayload =
payload?.city_forecast
? payload
: buildAiCityFallbackPayload({
detail,
error: payload?.reason || payload?.raw_reason || payload?.status,
isEn,
report,
});
if (usablePayload.status === "ready" && !usablePayload.degraded) {
writeCachedPayload(cacheKey, usablePayload);
}
const readyState: AiCityForecastState = {
payload: usablePayload,
status: "ready",
};
writeCachedAiForecastState(cacheKey, readyState);
return readyState;
}
export function buildAiCityErrorForecastState({
cacheKey,
detail,
error,
isEn,
report,
}: {
cacheKey: string;
detail: CityDetail | null;
error: unknown;
isEn: boolean;
report: string;
}) {
const fallbackPayload = buildAiCityFallbackPayload({
detail,
error,
isEn,
report,
});
const readyState: AiCityForecastState = {
payload: fallbackPayload,
status: "ready",
};
writeCachedAiForecastState(cacheKey, readyState);
return readyState;
}