feat: 暴露fuyao SDK全部A股接口 + AI分析轮次上限提至30

backend/services/ai_service.py

@@ -122,8 +122,9 @@ async def collect_ai_analysis(trade_date: str) -> dict:
     total_tokens = 0
     final_content = ""
     was_truncated = False
+    max_rounds = 30  # 安全上限，正常分析约 3-8 轮
 
-    for i in range(8):
+    for i in range(max_rounds):
         response = await call_llm(messages, tools=TOOLS)
         total_tokens += response.get("usage", {}).get("total_tokens", 0)
 
@@ -138,11 +139,9 @@ async def collect_ai_analysis(trade_date: str) -> dict:
             break
 
         if finish_reason == "length":
-            # 响应被截断，保存已生成的内容
             was_truncated = True
             final_content = message.get("content") or ""
             if not final_content:
-                # 如果当前消息没有内容，尝试从之前的消息中提取
                 for msg in reversed(messages):
                     if msg.get("role") == "assistant" and msg.get("content"):
                         final_content = msg["content"]

backend/services/fuyao_client.py

@@ -135,6 +135,14 @@ async def prices_historical(thscode: str, start_ms: int, end_ms: int,
                       interval="1d", adjust=adjust)
 
 
+async def corp_actions_adjustment_factors(thscode: str, from_date: str = None,
+                                          to_date: str = None) -> dict:
+    data = await _run(_sdk.corp_actions_adjustment_factors, thscode,
+                      **({"from": from_date} if from_date else {}),
+                      **({"to": to_date} if to_date else {}))
+    return data or {}
+
+
 async def calendar_trading_days() -> list[dict]:
     return await _run(_sdk.calendar_trading_days)
 
@@ -285,3 +293,19 @@ async def limit_break_pool(date_ms=None, page=1, size=50,
     data = await _run(_sdk.special_data_limit_break_pool, date_ms=date_ms,
                       page=page, size=size, sort_field=sort_field, sort_dir=sort_dir)
     return data or {}
+
+
+async def hot_stock_list_history(date: str) -> dict:
+    data = await _run(_sdk.special_data_hot_stock_list_history, date)
+    return data or {}
+
+
+async def hot_stock_rank_trend(thscode: str, start_date: str, end_date: str) -> dict:
+    data = await _run(_sdk.special_data_hot_stock_rank_trend, thscode, start_date, end_date)
+    return data or {}
+
+
+async def anomaly_analysis_stock(thscodes: str) -> dict:
+    codes = [c.strip() for c in thscodes.split(",") if c.strip()]
+    data = await _run(_sdk.special_data_anomaly_analysis_stock, codes)
+    return data or {}