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:
2569718930@qq.com
2026-05-25 07:37:43 +08:00
parent 81f61370fe
commit 1ef209ce2f
3 changed files with 119 additions and 159 deletions
@@ -41,39 +41,80 @@ function validNumber(value: unknown): number | null {
return typeof value === "number" && Number.isFinite(value) ? value : null;
}
function toTimestamp(value?: string | null): number | null {
const raw = String(value || "").trim();
function getCityLocalUtcTimestamp(
value: string | number | null | undefined,
tzOffsetSeconds: number,
referenceLocalDate?: string | null
): number | null {
if (value == null) return null;
if (typeof value === "number") {
const d = new Date(value + tzOffsetSeconds * 1000);
return Date.UTC(
d.getUTCFullYear(),
d.getUTCMonth(),
d.getUTCDate(),
d.getUTCHours(),
d.getUTCMinutes()
);
}
const raw = String(value).trim();
if (!raw) return null;
const d = new Date(raw);
if (!Number.isNaN(d.getTime())) return d.getTime();
// HH:MM or HH:MM:SS — treat as today, but handle cross-midnight:
// if parsed time is >2h ahead of now, assume yesterday
if (raw.includes("T") || raw.includes("Z") || raw.includes("-")) {
const d = new Date(raw);
if (!Number.isNaN(d.getTime())) {
const localMs = d.getTime() + tzOffsetSeconds * 1000;
const localDate = new Date(localMs);
return Date.UTC(
localDate.getUTCFullYear(),
localDate.getUTCMonth(),
localDate.getUTCDate(),
localDate.getUTCHours(),
localDate.getUTCMinutes()
);
}
}
const m = raw.match(/(\d{1,2}):(\d{2})/);
if (m) {
const now = new Date();
const h = +m[1], min = +m[2];
const candidate = new Date(now.getFullYear(), now.getMonth(), now.getDate(), h, min);
if (candidate.getTime() - now.getTime() > 2 * 60 * 60 * 1000) {
candidate.setDate(candidate.getDate() - 1);
const h = +m[1];
const min = +m[2];
let year = new Date().getUTCFullYear();
let month = new Date().getUTCMonth();
let date = new Date().getUTCDate();
if (referenceLocalDate) {
const dateParts = referenceLocalDate.split("-");
if (dateParts.length === 3) {
year = parseInt(dateParts[0]);
month = parseInt(dateParts[1]) - 1;
date = parseInt(dateParts[2]);
}
}
return candidate.getTime();
return Date.UTC(year, month, date, h, min);
}
return null;
}
function formatTimestamp(ts: number): string {
const d = new Date(ts);
return `${String(d.getHours()).padStart(2, "0")}:${String(d.getMinutes()).padStart(2, "0")}`;
return `${String(d.getUTCHours()).padStart(2, "0")}:${String(d.getUTCMinutes()).padStart(2, "0")}`;
}
function normObs(points?: ObsPoint[] | null, limit = MAX_OBS_POINTS) {
function normObs(points: ObsPoint[] | null | undefined, tzOffsetSeconds: number, limit = MAX_OBS_POINTS) {
return (points || [])
.filter((p) => validNumber(p.temp) !== null && toTimestamp(p.time) !== null)
.slice(-limit)
.filter((p) => validNumber(p.temp) !== null && p.time)
.map((p) => ({
ts: toTimestamp(p.time)!,
ts: getCityLocalUtcTimestamp(p.time, tzOffsetSeconds)!,
value: Number(p.temp),
}));
}))
.filter((p) => p.ts !== null)
.slice(-limit);
}
function seriesStats(values: Array<number | null>) {
@@ -99,8 +140,8 @@ function buildSlidingChartData(
row: ScanOpportunityRow | null,
hourly: HourlyForecast,
) {
const settlementObs = normObs(row?.settlement_today_obs || row?.metar_context?.settlement_today_obs);
const metarObs = normObs(row?.metar_today_obs || row?.metar_context?.today_obs || row?.metar_recent_obs || row?.metar_context?.recent_obs);
const settlementObs = normObs(row?.settlement_today_obs || row?.metar_context?.settlement_today_obs, 0);
const metarObs = normObs(row?.metar_today_obs || row?.metar_context?.today_obs || row?.metar_recent_obs || row?.metar_context?.recent_obs, 0);
// Collect all timestamps from observations + forecasts
const allTimes = new Set<number>();
@@ -320,9 +361,11 @@ function buildChartDomain(
export function LiveTemperatureThresholdChart({
isEn,
row,
allRows = [],
}: {
isEn: boolean;
row: ScanOpportunityRow | null;
allRows?: ScanOpportunityRow[];
}) {
const [hourly, setHourly] = useState<HourlyForecast>(null);
const city = String(row?.city || "").toLowerCase().trim();
@@ -362,6 +405,36 @@ export function LiveTemperatureThresholdChart({
const { data, series } = useMemo(() => buildSlidingChartData(row, hourly), [row, hourly]);
const threshold = validNumber(row?.target_threshold) ?? validNumber(row?.target_value);
const cityThresholds = useMemo(() => {
if (!row || !allRows || !allRows.length) return [];
const cityKey = String(row.city || "").toLowerCase().trim();
const sameCityRows = allRows.filter(
(r) => String(r.city || "").toLowerCase().trim() === cityKey
);
const seen = new Set<number>();
const list: { threshold: number; label: string; isBreached: boolean; kind: "gte" | "lte" }[] = [];
sameCityRows.forEach((r) => {
const t = Number(r.target_threshold ?? r.target_value ?? r.target_lower ?? r.target_upper);
if (!Number.isFinite(t) || seen.has(t)) return;
seen.add(t);
const maxTemp = Number(r.current_max_so_far ?? r.current_temp ?? 0);
const q = String(r.market_question || r.target_label || "").toLowerCase();
const kind: "gte" | "lte" = q.includes("below") || q.includes("under") || q.includes("lte") ? "lte" : "gte";
const isBreached = kind === "lte" ? maxTemp > t : maxTemp >= t;
list.push({
threshold: t,
label: r.target_label || `${t}°C`,
isBreached,
kind,
});
});
return list.sort((a, b) => a.threshold - b.threshold);
}, [row, allRows]);
const modelSummaryCards = useMemo(() => {
const cards = buildModelSummaryCards(row);
if (!hourly?.modelCurves) return cards;
@@ -449,15 +522,28 @@ export function LiveTemperatureThresholdChart({
domain={chartDomain}
ticks={marketTicks ?? undefined}
/>
{threshold !== null && (
<ReferenceLine
y={threshold}
stroke="#f97316"
strokeDasharray="4 3"
strokeWidth={2}
label={{ value: `${threshold.toFixed(1)}°`, fill: "#f97316", fontSize: 10, position: "left" }}
/>
)}
{cityThresholds.map((t, idx) => {
const isSelected = row && (Number(row.target_threshold ?? row.target_value) === t.threshold);
const labelText = isEn
? `${t.kind === "gte" ? "≥" : "≤"} ${t.threshold.toFixed(1)}° [${t.isBreached ? "Excluded" : "Active"}]`
: `${t.kind === "gte" ? "≥" : "≤"} ${t.threshold.toFixed(1)}° [${t.isBreached ? "已排除" : "活跃"}]`;
return (
<ReferenceLine
key={idx}
y={t.threshold}
stroke={isSelected ? "#3b82f6" : t.isBreached ? "#ef4444" : "#f97316"}
strokeDasharray={isSelected ? undefined : "4 4"}
strokeWidth={isSelected ? 2 : 1}
label={{
value: labelText,
fill: isSelected ? "#3b82f6" : t.isBreached ? "#ef4444" : "#f97316",
fontSize: 9,
position: isSelected ? "left" : "insideBottomRight",
}}
/>
);
})}
<Tooltip
contentStyle={{
border: "1px solid #cbd5e1",
+3 -129
View File
@@ -1834,12 +1834,7 @@ class PolymarketReadOnlyLayer:
return ws_data
self._ws_cache.subscribe([token_id])
data = self._fetch_token_market_data(token_id)
with self._lock:
self._price_cache[token_id] = {"data": data, "t": now}
return data
return {}
def _fetch_token_market_data(self, token_id: str) -> Dict[str, Any]:
# REST-only path: CLOB public endpoints.
@@ -2723,128 +2718,7 @@ class PolymarketReadOnlyLayer:
results[token_id] = ws_data
missing.remove(token_id)
if not missing:
return results
buy_map: Dict[str, float] = {}
sell_map: Dict[str, float] = {}
midpoint_map: Dict[str, float] = {}
spread_map: Dict[str, float] = {}
last_trade_map: Dict[str, float] = {}
book_map: Dict[str, Dict[str, Any]] = {}
for chunk in self._batch_chunks(missing):
buy_payload = self._clob_post(
"/prices",
[{"token_id": token_id, "side": "BUY"} for token_id in chunk],
)
sell_payload = self._clob_post(
"/prices",
[{"token_id": token_id, "side": "SELL"} for token_id in chunk],
)
midpoint_payload = (
self._clob_post(
"/midpoints",
[{"token_id": token_id} for token_id in chunk],
)
if not self.fast_price_only
else None
)
spread_payload = (
self._clob_post(
"/spreads",
[{"token_id": token_id} for token_id in chunk],
)
if not self.fast_price_only
else None
)
last_trade_payload = (
self._clob_post(
"/last-trade-prices",
[{"token_id": token_id} for token_id in chunk],
)
if not self.fast_price_only
else None
)
books_payload = (
self._clob_post(
"/books",
[{"token_id": token_id} for token_id in chunk],
)
if include_books and not self.fast_price_only
else None
)
buy_map.update(self._extract_batch_price_map(buy_payload, "BUY"))
sell_map.update(self._extract_batch_price_map(sell_payload, "SELL"))
midpoint_map.update(self._extract_batch_scalar_map(midpoint_payload))
spread_map.update(self._extract_batch_scalar_map(spread_payload))
last_trade_map.update(self._extract_batch_scalar_map(last_trade_payload))
if include_books:
book_map.update(self._extract_batch_book_map(books_payload))
fetched: Dict[str, Dict[str, Any]] = {}
unresolved: List[str] = []
for token_id in missing:
raw_book = book_map.get(token_id)
book, book_liquidity = self._normalize_orderbook(raw_book)
buy_price = _extract_price(buy_map.get(token_id))
sell_price = _extract_price(sell_map.get(token_id))
midpoint = _extract_price(midpoint_map.get(token_id))
spread = _extract_price(spread_map.get(token_id))
last_trade = _extract_price(last_trade_map.get(token_id))
buy, sell = self._resolve_trade_prices(
buy=buy_price,
sell=sell_price,
book=book,
)
if midpoint is None and buy is not None and sell is not None:
midpoint = (buy + sell) / 2.0
if midpoint is None:
midpoint = _extract_price(raw_book.get("last_trade_price") if isinstance(raw_book, dict) else None)
if spread is None and buy is not None and sell is not None:
spread = max(0.0, float(buy) - float(sell))
if spread is not None and midpoint is not None:
midpoint = _clamp_probability(midpoint)
if buy is None and midpoint is not None and spread is not None:
buy = _clamp_probability(midpoint + spread / 2.0)
if sell is None and midpoint is not None and spread is not None:
sell = _clamp_probability(midpoint - spread / 2.0)
if (
buy is None
and sell is None
and midpoint is None
and last_trade is None
and book is None
):
unresolved.append(token_id)
continue
fetched[token_id] = {
"buy": buy,
"sell": sell,
"midpoint": midpoint,
"spread": spread,
"last_trade_price": last_trade,
"quote_source": (
"polymarket_clob_fast_batch"
if self.fast_price_only
else "polymarket_clob_rest_batch"
),
"quote_age_ms": 0,
"book": book,
"book_liquidity": book_liquidity,
}
for token_id in unresolved:
fetched[token_id] = self._fetch_token_market_data(token_id)
with self._lock:
for token_id, data in fetched.items():
self._price_cache[token_id] = {"data": data, "t": now}
results.update(fetched)
# No REST fallback — prices exclusively from WebSocket.
return results
def _normalize_scan_filters(self, scan_filters: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
@@ -3796,4 +3670,4 @@ class PolymarketReadOnlyLayer:
"distribution_preview": distribution_preview[:6],
"distribution_full": distribution_preview,
"resolved_market_type": "maxtemp",
}
}
+1 -1
View File
@@ -86,7 +86,7 @@ class PolymarketWsQuoteCache:
@classmethod
def from_env(cls) -> "PolymarketWsQuoteCache":
return cls(
enabled=_env_bool("POLYMARKET_WS_PRICE_ENABLED", False),
enabled=_env_bool("POLYMARKET_WS_PRICE_ENABLED", True),
endpoint=os.getenv("POLYMARKET_WS_MARKET_URL"),
quote_ttl_sec=int(os.getenv("POLYMARKET_WS_QUOTE_TTL_SEC", "8")),
max_assets=int(os.getenv("POLYMARKET_WS_MAX_ASSETS", "256")),