Refactor market K-line storage with tiered retention and chunked loading.

Store 1m/5m/1h/12h/1d/1w with per-timeframe policies, aggregate 15m and 2h/4h on read, and support left-pan history fetches via before_ms.

Co-authored-by: Cursor <cursoragent@cursor.com>

manual_trading_hub/hub.py

@@ -15,7 +15,15 @@ if str(_REPO_ROOT) not in sys.path:
     sys.path.insert(0, str(_REPO_ROOT))
 
 from hub_kline_store import format_ohlcv_detail, resolve_chart_bars, retention_days
-from hub_ohlcv_lib import CHART_TIMEFRAME_ORDER, CHART_TIMEFRAMES, bar_limit_for_timeframe
+from hub_ohlcv_lib import (
+    CHART_TIMEFRAME_ORDER,
+    CHART_TIMEFRAMES,
+    bar_limit_for_timeframe,
+    chart_chunk_limit,
+    chart_initial_limit,
+    chart_memory_cap,
+    retention_policy_meta,
+)
 from hub_symbol_archive_lib import (
     ARCHIVE_DEFAULT_TIMEFRAME,
     ARCHIVE_SEED_LOOKBACK_DAYS,
@@ -629,7 +637,11 @@ def api_chart_meta():
         "ok": True,
         "timeframes": [tf for tf in tfs if tf in CHART_TIMEFRAMES],
         "retention_days": retention_days(),
+        "retention_policy": retention_policy_meta(),
         "limits": {tf: bar_limit_for_timeframe(tf) for tf in tfs if tf in CHART_TIMEFRAMES},
+        "initial_limits": {tf: chart_initial_limit(tf) for tf in tfs if tf in CHART_TIMEFRAMES},
+        "chunk_limits": {tf: chart_chunk_limit(tf) for tf in tfs if tf in CHART_TIMEFRAMES},
+        "memory_caps": {tf: chart_memory_cap(tf) for tf in tfs if tf in CHART_TIMEFRAMES},
         "exchanges": exchanges,
     }
 
@@ -640,6 +652,8 @@ def api_chart_ohlcv(
     symbol: str = "",
     timeframe: str = "1d",
     refresh: str = "",
+    limit: int = 0,
+    before_ms: str = "",
 ):
     ex = _find_exchange_by_key(exchange_key)
     if not ex:
@@ -651,14 +665,23 @@ def api_chart_ohlcv(
         raise HTTPException(status_code=400, detail="请输入币种")
     ex_key = str(ex.get("key") or "").strip().lower()
     force = (refresh or "").strip().lower() in ("1", "true", "yes", "on")
+    lim = int(limit) if int(limit or 0) > 0 else None
+    bms_raw = (before_ms or "").strip()
+    bms = None
+    if bms_raw:
+        try:
+            bms = int(bms_raw)
+        except ValueError:
+            raise HTTPException(status_code=400, detail="before_ms 无效")
 
     def remote_fetch(**kwargs):
+        tf_use = kwargs.get("timeframe") or timeframe
         return _fetch_instance_ohlcv_sync(
             ex,
             symbol=kwargs.get("symbol") or sym,
-            timeframe=kwargs.get("timeframe") or timeframe,
+            timeframe=tf_use,
             since_ms=kwargs.get("since_ms"),
-            limit=int(kwargs.get("limit") or bar_limit_for_timeframe(timeframe)),
+            limit=int(kwargs.get("limit") or bar_limit_for_timeframe(tf_use)),
         )
 
     result = resolve_chart_bars(
@@ -667,9 +690,13 @@ def api_chart_ohlcv(
         timeframe,
         remote_fetch,
         force_refresh=force,
+        limit=lim,
+        before_ms=bms,
     )
     if not result.get("ok"):
         raise HTTPException(status_code=502, detail=result.get("msg") or "K线加载失败")
+    if not result.get("candles") and result.get("before_ms") is None:
+        raise HTTPException(status_code=502, detail=result.get("msg") or "无 K 线")
     tick = result.get("price_tick")
     last = result["candles"][-1] if result.get("candles") else None
     result["ohlcv"] = format_ohlcv_detail(