fix(HEL-487): 盘中当天看板在 rt_k 无权限时降级到免费实时源
rt_k 失败、无权限、超时或空结果时改用东财全市场快照,再失败则用腾讯批量行情;两者都失败仍不退回昨天。 Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: multica-agent <github@multica.ai>
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co-authored by
Cursor
multica-agent
parent
a043bc9eb1
commit
dd89a09643
@@ -59,6 +59,12 @@ class IndexMixin:
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}
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def realtime_market_indices(self, requested_date: str) -> dict[str, Any]:
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try:
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return self._tushare_realtime_market_indices(requested_date)
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except TushareError:
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return self._free_realtime_market_indices(requested_date)
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def _tushare_realtime_market_indices(self, requested_date: str) -> dict[str, Any]:
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trade_date, _ = self.resolve_trade_context(requested_date)
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index_names = {
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"000001.SH": "上证指数",
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@@ -116,3 +122,52 @@ class IndexMixin:
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"average_return_20d": 0,
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},
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}
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def _free_realtime_market_indices(self, requested_date: str) -> dict[str, Any]:
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trade_date, _ = self.resolve_trade_context(requested_date)
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aggregator = getattr(self, "realtime_aggregator", None)
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if aggregator is None:
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raise TushareError("免费实时源未配置")
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quotes = aggregator.eastmoney_indices()
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index_names = {
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"000001": ("000001.SH", "上证指数"),
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"399001": ("399001.SZ", "深证成指"),
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"399006": ("399006.SZ", "创业板指"),
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}
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indices = []
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for quote in quotes:
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mapped = index_names.get(str(quote.get("code") or ""))
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if not mapped:
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continue
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ts_code, name = mapped
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close = _number(quote.get("price"))
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previous_close = _number(quote.get("previous_close"))
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if close <= 0 or previous_close <= 0:
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continue
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indices.append(
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{
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"ts_code": ts_code,
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"name": str(quote.get("name") or name).strip(),
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"trade_date": trade_date,
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"close": close,
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"pct_chg": round(_number(quote.get("change")) or (close / previous_close - 1) * 100, 3),
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"return_5d": 0,
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"amount_billion": round(_number(quote.get("amount_billion")), 2),
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"quote_time": quote.get("quote_time") or "",
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"source": quote.get("source") or "eastmoney_push2",
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}
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)
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if len(indices) != 3:
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raise TushareError("Realtime index quotes are incomplete")
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return {
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"trade_date": trade_date,
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"source": "eastmoney_push2",
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"realtime": True,
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"precise": True,
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"indices": indices,
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"aggregate": {
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"average_pct_chg": round(sum(item["pct_chg"] for item in indices) / len(indices), 3),
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"average_return_5d": 0,
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"average_return_20d": 0,
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},
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}
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