feat: AI市场分析功能

- 后端：AI分析服务、工具调用、定时任务
- 前端：报告列表、详情页、Mermaid图表支持
- 支持OpenAI API兼容模型
- 收盘后自动分析生成报告

backend/services/ai_collector.py

@@ -0,0 +1,56 @@
+"""AI 分析定时任务
+
+收盘后自动触发 AI 分析：
+- 15:01 collector_loop 采集核心股+题材数据
+- 15:10 ai_analysis_loop 触发 AI 分析（等数据采集完成）
+"""
+
+import asyncio
+import traceback
+from datetime import datetime, time as dtime, timezone, timedelta
+from typing import Optional
+
+from database import get_connection
+
+_CST = timezone(timedelta(hours=8))
+
+CHECK_INTERVAL_SECONDS = 300       # 每5分钟检查
+AI_ANALYSIS_TIME = dtime(15, 10)   # 15:10 后触发
+
+
+def _is_trading_day(d: datetime) -> bool:
+    """仅按工作日判断"""
+    return d.weekday() < 5
+
+
+def _has_ai_report(trade_date: str) -> bool:
+    """检查某日是否已有 AI 分析报告"""
+    conn = get_connection()
+    try:
+        row = conn.execute(
+            "SELECT 1 FROM ai_reports WHERE trade_date = ? AND report_type = 'daily' LIMIT 1",
+            (trade_date,)
+        ).fetchone()
+        return row is not None
+    finally:
+        conn.close()
+
+
+async def ai_analysis_loop(stop: Optional[asyncio.Event] = None) -> None:
+    """后台循环：每个交易日 15:10 后自动触发 AI 分析（幂等）"""
+    while True:
+        try:
+            now = datetime.now(_CST)
+            if _is_trading_day(now) and now.time() >= AI_ANALYSIS_TIME:
+                trade_date = now.strftime("%Y-%m-%d")
+                if not _has_ai_report(trade_date):
+                    print(f"[ai-collector] 开始 AI 分析 {trade_date}")
+                    from services.ai_service import collect_ai_analysis
+                    result = await collect_ai_analysis(trade_date)
+                    print(f"[ai-collector] AI 分析完成 {trade_date}，token 消耗: {result.get('tokens_used', 0)}")
+        except Exception:
+            print("[ai-collector] AI 分析异常：")
+            traceback.print_exc()
+        if stop is not None and stop.is_set():
+            break
+        await asyncio.sleep(CHECK_INTERVAL_SECONDS)