移除 REST 价格获取,纯 WebSocket 报价;默认开启 WS 价格;修复图表 TS 错误
This commit is contained in:
@@ -41,39 +41,80 @@ function validNumber(value: unknown): number | null {
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return typeof value === "number" && Number.isFinite(value) ? value : null;
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}
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function toTimestamp(value?: string | null): number | null {
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const raw = String(value || "").trim();
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function getCityLocalUtcTimestamp(
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value: string | number | null | undefined,
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tzOffsetSeconds: number,
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referenceLocalDate?: string | null
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): number | null {
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if (value == null) return null;
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if (typeof value === "number") {
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const d = new Date(value + tzOffsetSeconds * 1000);
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return Date.UTC(
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d.getUTCFullYear(),
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d.getUTCMonth(),
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d.getUTCDate(),
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d.getUTCHours(),
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d.getUTCMinutes()
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);
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}
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const raw = String(value).trim();
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if (!raw) return null;
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const d = new Date(raw);
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if (!Number.isNaN(d.getTime())) return d.getTime();
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// HH:MM or HH:MM:SS — treat as today, but handle cross-midnight:
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// if parsed time is >2h ahead of now, assume yesterday
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if (raw.includes("T") || raw.includes("Z") || raw.includes("-")) {
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const d = new Date(raw);
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if (!Number.isNaN(d.getTime())) {
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const localMs = d.getTime() + tzOffsetSeconds * 1000;
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const localDate = new Date(localMs);
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return Date.UTC(
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localDate.getUTCFullYear(),
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localDate.getUTCMonth(),
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localDate.getUTCDate(),
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localDate.getUTCHours(),
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localDate.getUTCMinutes()
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);
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}
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}
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const m = raw.match(/(\d{1,2}):(\d{2})/);
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if (m) {
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const now = new Date();
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const h = +m[1], min = +m[2];
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const candidate = new Date(now.getFullYear(), now.getMonth(), now.getDate(), h, min);
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if (candidate.getTime() - now.getTime() > 2 * 60 * 60 * 1000) {
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candidate.setDate(candidate.getDate() - 1);
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const h = +m[1];
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const min = +m[2];
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let year = new Date().getUTCFullYear();
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let month = new Date().getUTCMonth();
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let date = new Date().getUTCDate();
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if (referenceLocalDate) {
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const dateParts = referenceLocalDate.split("-");
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if (dateParts.length === 3) {
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year = parseInt(dateParts[0]);
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month = parseInt(dateParts[1]) - 1;
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date = parseInt(dateParts[2]);
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}
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}
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return candidate.getTime();
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return Date.UTC(year, month, date, h, min);
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}
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return null;
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}
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function formatTimestamp(ts: number): string {
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const d = new Date(ts);
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return `${String(d.getHours()).padStart(2, "0")}:${String(d.getMinutes()).padStart(2, "0")}`;
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return `${String(d.getUTCHours()).padStart(2, "0")}:${String(d.getUTCMinutes()).padStart(2, "0")}`;
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}
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function normObs(points?: ObsPoint[] | null, limit = MAX_OBS_POINTS) {
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function normObs(points: ObsPoint[] | null | undefined, tzOffsetSeconds: number, limit = MAX_OBS_POINTS) {
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return (points || [])
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.filter((p) => validNumber(p.temp) !== null && toTimestamp(p.time) !== null)
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.slice(-limit)
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.filter((p) => validNumber(p.temp) !== null && p.time)
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.map((p) => ({
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ts: toTimestamp(p.time)!,
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ts: getCityLocalUtcTimestamp(p.time, tzOffsetSeconds)!,
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value: Number(p.temp),
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}));
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}))
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.filter((p) => p.ts !== null)
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.slice(-limit);
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}
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function seriesStats(values: Array<number | null>) {
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@@ -99,8 +140,8 @@ function buildSlidingChartData(
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row: ScanOpportunityRow | null,
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hourly: HourlyForecast,
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) {
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const settlementObs = normObs(row?.settlement_today_obs || row?.metar_context?.settlement_today_obs);
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const metarObs = normObs(row?.metar_today_obs || row?.metar_context?.today_obs || row?.metar_recent_obs || row?.metar_context?.recent_obs);
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const settlementObs = normObs(row?.settlement_today_obs || row?.metar_context?.settlement_today_obs, 0);
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const metarObs = normObs(row?.metar_today_obs || row?.metar_context?.today_obs || row?.metar_recent_obs || row?.metar_context?.recent_obs, 0);
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// Collect all timestamps from observations + forecasts
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const allTimes = new Set<number>();
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@@ -320,9 +361,11 @@ function buildChartDomain(
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export function LiveTemperatureThresholdChart({
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isEn,
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row,
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allRows = [],
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}: {
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isEn: boolean;
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row: ScanOpportunityRow | null;
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allRows?: ScanOpportunityRow[];
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}) {
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const [hourly, setHourly] = useState<HourlyForecast>(null);
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const city = String(row?.city || "").toLowerCase().trim();
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@@ -362,6 +405,36 @@ export function LiveTemperatureThresholdChart({
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const { data, series } = useMemo(() => buildSlidingChartData(row, hourly), [row, hourly]);
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const threshold = validNumber(row?.target_threshold) ?? validNumber(row?.target_value);
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const cityThresholds = useMemo(() => {
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if (!row || !allRows || !allRows.length) return [];
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const cityKey = String(row.city || "").toLowerCase().trim();
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const sameCityRows = allRows.filter(
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(r) => String(r.city || "").toLowerCase().trim() === cityKey
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);
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const seen = new Set<number>();
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const list: { threshold: number; label: string; isBreached: boolean; kind: "gte" | "lte" }[] = [];
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sameCityRows.forEach((r) => {
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const t = Number(r.target_threshold ?? r.target_value ?? r.target_lower ?? r.target_upper);
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if (!Number.isFinite(t) || seen.has(t)) return;
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seen.add(t);
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const maxTemp = Number(r.current_max_so_far ?? r.current_temp ?? 0);
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const q = String(r.market_question || r.target_label || "").toLowerCase();
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const kind: "gte" | "lte" = q.includes("below") || q.includes("under") || q.includes("lte") ? "lte" : "gte";
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const isBreached = kind === "lte" ? maxTemp > t : maxTemp >= t;
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list.push({
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threshold: t,
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label: r.target_label || `${t}°C`,
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isBreached,
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kind,
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});
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});
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return list.sort((a, b) => a.threshold - b.threshold);
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}, [row, allRows]);
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const modelSummaryCards = useMemo(() => {
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const cards = buildModelSummaryCards(row);
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if (!hourly?.modelCurves) return cards;
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@@ -449,15 +522,28 @@ export function LiveTemperatureThresholdChart({
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domain={chartDomain}
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ticks={marketTicks ?? undefined}
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/>
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{threshold !== null && (
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<ReferenceLine
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y={threshold}
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stroke="#f97316"
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strokeDasharray="4 3"
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strokeWidth={2}
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label={{ value: `${threshold.toFixed(1)}°`, fill: "#f97316", fontSize: 10, position: "left" }}
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/>
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)}
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{cityThresholds.map((t, idx) => {
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const isSelected = row && (Number(row.target_threshold ?? row.target_value) === t.threshold);
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const labelText = isEn
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? `${t.kind === "gte" ? "≥" : "≤"} ${t.threshold.toFixed(1)}° [${t.isBreached ? "Excluded" : "Active"}]`
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: `${t.kind === "gte" ? "≥" : "≤"} ${t.threshold.toFixed(1)}° [${t.isBreached ? "已排除" : "活跃"}]`;
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return (
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<ReferenceLine
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key={idx}
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y={t.threshold}
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stroke={isSelected ? "#3b82f6" : t.isBreached ? "#ef4444" : "#f97316"}
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strokeDasharray={isSelected ? undefined : "4 4"}
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strokeWidth={isSelected ? 2 : 1}
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label={{
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value: labelText,
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fill: isSelected ? "#3b82f6" : t.isBreached ? "#ef4444" : "#f97316",
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fontSize: 9,
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position: isSelected ? "left" : "insideBottomRight",
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}}
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/>
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);
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})}
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<Tooltip
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contentStyle={{
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border: "1px solid #cbd5e1",
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@@ -1834,12 +1834,7 @@ class PolymarketReadOnlyLayer:
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return ws_data
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self._ws_cache.subscribe([token_id])
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data = self._fetch_token_market_data(token_id)
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with self._lock:
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self._price_cache[token_id] = {"data": data, "t": now}
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return data
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return {}
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def _fetch_token_market_data(self, token_id: str) -> Dict[str, Any]:
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# REST-only path: CLOB public endpoints.
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@@ -2723,128 +2718,7 @@ class PolymarketReadOnlyLayer:
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results[token_id] = ws_data
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missing.remove(token_id)
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if not missing:
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return results
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buy_map: Dict[str, float] = {}
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sell_map: Dict[str, float] = {}
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midpoint_map: Dict[str, float] = {}
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spread_map: Dict[str, float] = {}
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last_trade_map: Dict[str, float] = {}
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book_map: Dict[str, Dict[str, Any]] = {}
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for chunk in self._batch_chunks(missing):
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buy_payload = self._clob_post(
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"/prices",
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[{"token_id": token_id, "side": "BUY"} for token_id in chunk],
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)
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sell_payload = self._clob_post(
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"/prices",
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[{"token_id": token_id, "side": "SELL"} for token_id in chunk],
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)
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midpoint_payload = (
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self._clob_post(
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"/midpoints",
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[{"token_id": token_id} for token_id in chunk],
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)
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if not self.fast_price_only
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else None
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)
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spread_payload = (
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self._clob_post(
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"/spreads",
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[{"token_id": token_id} for token_id in chunk],
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)
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if not self.fast_price_only
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else None
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)
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last_trade_payload = (
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self._clob_post(
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"/last-trade-prices",
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[{"token_id": token_id} for token_id in chunk],
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)
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if not self.fast_price_only
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else None
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)
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books_payload = (
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self._clob_post(
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"/books",
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[{"token_id": token_id} for token_id in chunk],
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)
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if include_books and not self.fast_price_only
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else None
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)
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buy_map.update(self._extract_batch_price_map(buy_payload, "BUY"))
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sell_map.update(self._extract_batch_price_map(sell_payload, "SELL"))
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midpoint_map.update(self._extract_batch_scalar_map(midpoint_payload))
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spread_map.update(self._extract_batch_scalar_map(spread_payload))
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last_trade_map.update(self._extract_batch_scalar_map(last_trade_payload))
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if include_books:
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book_map.update(self._extract_batch_book_map(books_payload))
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fetched: Dict[str, Dict[str, Any]] = {}
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unresolved: List[str] = []
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for token_id in missing:
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raw_book = book_map.get(token_id)
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book, book_liquidity = self._normalize_orderbook(raw_book)
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buy_price = _extract_price(buy_map.get(token_id))
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sell_price = _extract_price(sell_map.get(token_id))
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midpoint = _extract_price(midpoint_map.get(token_id))
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spread = _extract_price(spread_map.get(token_id))
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last_trade = _extract_price(last_trade_map.get(token_id))
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buy, sell = self._resolve_trade_prices(
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buy=buy_price,
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sell=sell_price,
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book=book,
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)
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if midpoint is None and buy is not None and sell is not None:
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midpoint = (buy + sell) / 2.0
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if midpoint is None:
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midpoint = _extract_price(raw_book.get("last_trade_price") if isinstance(raw_book, dict) else None)
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if spread is None and buy is not None and sell is not None:
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spread = max(0.0, float(buy) - float(sell))
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if spread is not None and midpoint is not None:
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midpoint = _clamp_probability(midpoint)
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if buy is None and midpoint is not None and spread is not None:
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buy = _clamp_probability(midpoint + spread / 2.0)
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if sell is None and midpoint is not None and spread is not None:
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sell = _clamp_probability(midpoint - spread / 2.0)
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if (
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buy is None
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and sell is None
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and midpoint is None
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and last_trade is None
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and book is None
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):
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unresolved.append(token_id)
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continue
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fetched[token_id] = {
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"buy": buy,
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"sell": sell,
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"midpoint": midpoint,
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"spread": spread,
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"last_trade_price": last_trade,
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"quote_source": (
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"polymarket_clob_fast_batch"
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if self.fast_price_only
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else "polymarket_clob_rest_batch"
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),
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"quote_age_ms": 0,
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"book": book,
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"book_liquidity": book_liquidity,
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}
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for token_id in unresolved:
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fetched[token_id] = self._fetch_token_market_data(token_id)
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with self._lock:
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for token_id, data in fetched.items():
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self._price_cache[token_id] = {"data": data, "t": now}
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results.update(fetched)
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# No REST fallback — prices exclusively from WebSocket.
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return results
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def _normalize_scan_filters(self, scan_filters: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
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@@ -3796,4 +3670,4 @@ class PolymarketReadOnlyLayer:
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"distribution_preview": distribution_preview[:6],
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"distribution_full": distribution_preview,
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"resolved_market_type": "maxtemp",
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}
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}
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@@ -86,7 +86,7 @@ class PolymarketWsQuoteCache:
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@classmethod
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def from_env(cls) -> "PolymarketWsQuoteCache":
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return cls(
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enabled=_env_bool("POLYMARKET_WS_PRICE_ENABLED", False),
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enabled=_env_bool("POLYMARKET_WS_PRICE_ENABLED", True),
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endpoint=os.getenv("POLYMARKET_WS_MARKET_URL"),
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quote_ttl_sec=int(os.getenv("POLYMARKET_WS_QUOTE_TTL_SEC", "8")),
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max_assets=int(os.getenv("POLYMARKET_WS_MAX_ASSETS", "256")),
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Reference in New Issue
Block a user