feat: implement ScanTerminalDashboard component and scan_terminal_service for real-time market opportunity monitoring
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2569718930@qq.com
@@ -64,6 +64,9 @@ type AiPinnedCity = {
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type AiCityForecastPayload = {
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status?: string | null;
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reason?: string | null;
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reason_zh?: string | null;
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reason_en?: string | null;
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raw_reason?: string | null;
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model?: string | null;
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provider?: string | null;
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city_forecast?: {
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@@ -584,11 +587,12 @@ function AiPinnedCityCard({
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item.cityName;
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const tempSymbol = detail?.temp_symbol || row?.temp_symbol || "°C";
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const modelView = detail ? getModelView(detail, detail.local_date) : null;
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const modelValues = modelView
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? Object.values(modelView.models || {})
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.map((value) => Number(value))
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.filter((value) => Number.isFinite(value))
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const modelEntries = modelView
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? Object.entries(modelView.models || {})
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.map(([name, value]) => [name, Number(value)] as const)
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.filter(([, value]) => Number.isFinite(value))
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: [];
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const modelValues = modelEntries.map(([, value]) => value);
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const modelMin = modelValues.length ? Math.min(...modelValues) : null;
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const modelMax = modelValues.length ? Math.max(...modelValues) : null;
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const paceView = detail ? getTodayPaceView(detail, locale as "zh-CN" | "en-US") : null;
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@@ -682,6 +686,21 @@ function AiPinnedCityCard({
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(isEn
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? aiCityForecast?.model_cluster_note_en
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: aiCityForecast?.model_cluster_note_zh) || "";
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const modelPreview = modelEntries
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.slice(0, 4)
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.map(([name, value]) => `${name} ${formatTemperatureValue(value, tempSymbol, { digits: 1 })}`)
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.join(isEn ? " / " : " / ");
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const localModelSupportNote = modelEntries.length
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? isEn
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? modelEntries.length <= 2
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? `Model support is sparse: only ${modelEntries.length} sources are available${modelPreview ? ` (${modelPreview})` : ""}, so the read should lean more on DEB path and METAR.`
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: `Model support: ${modelEntries.length} sources cluster between ${modelRange}; ${modelPreview}.`
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: modelEntries.length <= 2
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? `多模型支撑偏少：当前只有 ${modelEntries.length} 个模型${modelPreview ? `（${modelPreview}）` : ""}，需要更重视 DEB 路径和 METAR 实测。`
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: `多模型支撑：${modelEntries.length} 个模型集中在 ${modelRange}，代表模型为 ${modelPreview}。`
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: isEn
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? "Model support is unavailable, so this city must rely on DEB path and METAR observations."
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: "暂无可用多模型支撑，需要主要参考 DEB 路径和 METAR 实测。";
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const localizedRisksRaw =
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(isEn ? aiCityForecast?.risks_en : aiCityForecast?.risks_zh) || [];
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const localizedRisks = Array.isArray(localizedRisksRaw)
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@@ -692,9 +711,13 @@ function AiPinnedCityCard({
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const aiBullets = [
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localizedMetarRead,
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localizedReasoning !== localizedFinalJudgment ? localizedReasoning : "",
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localizedModelNote,
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localizedModelNote || localModelSupportNote,
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...localizedRisks,
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].filter((line) => String(line || "").trim());
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const fallbackAiReason =
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(isEn ? aiForecast.payload?.reason_en : aiForecast.payload?.reason_zh) ||
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aiForecast.payload?.reason ||
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"";
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const collapseId = `ai-city-body-${normalizeCityKey(item.cityName) || item.addedAt}`;
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@@ -840,23 +863,47 @@ function AiPinnedCityCard({
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</p>
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</>
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) : aiForecast.status === "ready" ? (
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<p>
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{aiForecast.payload?.status === "timeout"
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? isEn
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? "Deepseek V4-Pro timed out. You can retry; city data and the right briefing were not refreshed."
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: "Deepseek V4-Pro 本次解读超时，可稍后重试；城市数据和右侧简报不会被刷新。"
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: aiForecast.payload?.reason ||
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(isEn
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? "AI read is unavailable for this city right now."
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: "该城市暂时没有可用的 AI 解读。")}
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</p>
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<>
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<p>
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{aiForecast.payload?.status === "timeout"
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? isEn
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? "Deepseek V4-Pro timed out. You can retry; city data and the right briefing were not refreshed."
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: "Deepseek V4-Pro 本次解读超时，可稍后重试；城市数据和右侧简报不会被刷新。"
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: fallbackAiReason ||
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(isEn
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? "AI read is unavailable for this city right now."
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: "该城市暂时没有可用的 AI 解读。")}
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</p>
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<ul className="scan-ai-weather-bullets">
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<li>{localModelSupportNote}</li>
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<li>
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{report
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? `${isEn ? "Raw METAR" : "原始 METAR"}：${`${airportStation} ${report}`.trim()}`
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: isEn
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? "Raw METAR is unavailable."
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: "暂无原始 METAR。"}
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</li>
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</ul>
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</>
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) : aiForecast.status === "failed" ? (
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<p>
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{isEn
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? "AI read failed. The raw METAR remains below as fallback context."
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: "AI 解读失败。下方仅保留原始 METAR 作为兜底上下文。"}
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{aiForecast.error ? ` ${aiForecast.error}` : ""}
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</p>
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<>
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<p>
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{isEn
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? "AI read failed. Model support and the raw METAR remain as fallback context."
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: "AI 解读失败。下方保留多模型支撑和原始 METAR 作为兜底上下文。"}
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{aiForecast.error ? ` ${aiForecast.error}` : ""}
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</p>
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<ul className="scan-ai-weather-bullets">
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<li>{localModelSupportNote}</li>
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<li>
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{report
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? `${isEn ? "Raw METAR" : "原始 METAR"}：${`${airportStation} ${report}`.trim()}`
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: isEn
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? "Raw METAR is unavailable."
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: "暂无原始 METAR。"}
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</li>
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</ul>
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</>
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) : (
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<p>
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{isEn
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