1

backend/app/api/debug.py

@@ -1,5 +1,6 @@
 """Debug API — 系统日志与运行状态"""
 
+import json
 import os
 from datetime import datetime, timedelta
 from fastapi import APIRouter, Depends
@@ -33,7 +34,7 @@ async def get_errors(
             conditions.append("level = :level")
             params["level"] = level
 
-        where = " AND " + " AND ".join(conditions)
+        where = " AND ".join(conditions)
 
         # 总数
         count_result = await db.execute(
@@ -110,7 +111,7 @@ async def system_status(_admin: dict = Depends(get_current_admin)):
         tables_counts = {}
         for t in ["recommendations", "sector_heat", "market_temperature",
                    "recommendation_tracking", "stock_diagnoses",
-                   "error_logs", "users"]:
+                   "error_logs", "scan_process_logs", "users"]:
             result = await db.execute(text(f"SELECT COUNT(*) FROM {t}"))
             tables_counts[t] = result.scalar() or 0
 
@@ -146,3 +147,354 @@ async def system_status(_admin: dict = Depends(get_current_admin)):
         "tables_counts": tables_counts,
         "db_size_mb": db_size_mb,
     }
+
+
+def _decode_detail(raw: str | None) -> dict:
+    if not raw:
+        return {}
+    try:
+        parsed = json.loads(raw)
+        return parsed if isinstance(parsed, dict) else {"value": parsed}
+    except Exception:
+        return {"raw": raw}
+
+
+def _row_observation(row) -> dict:
+    r = row._mapping
+    return {
+        "id": r["id"],
+        "scan_session": r["scan_session"],
+        "scan_mode": r["scan_mode"] or "",
+        "ts_code": r["ts_code"],
+        "name": r["name"],
+        "theme_name": r["theme_name"] or "",
+        "stock_role": r["stock_role"] or "",
+        "action_plan": r["action_plan"] or "观察",
+        "final_score": r["final_score"] or 0,
+        "catalyst_score": r["catalyst_score"] or 0,
+        "theme_money_score": r["theme_money_score"] or 0,
+        "stock_money_score": r["stock_money_score"] or 0,
+        "emotion_role_score": r["emotion_role_score"] or 0,
+        "timing_score": r["timing_score"] or 0,
+        "entry_signal_type": r["entry_signal_type"] or "none",
+        "elimination_reason": r["elimination_reason"] or "",
+        "detail": _decode_detail(r["detail_json"]),
+        "created_at": str(r["created_at"]) if r["created_at"] else "",
+    }
+
+
+@router.get("/scan-logs")
+async def get_scan_logs(
+    limit: int = 100,
+    scan_session: str = None,
+    days: int = 7,
+    _admin: dict = Depends(get_current_admin),
+):
+    """获取筛选过程日志（管理员）"""
+    start = (datetime.now() - timedelta(days=days)).strftime("%Y-%m-%d")
+    limit = max(1, min(limit, 300))
+
+    async with get_db() as db:
+        selected_session = scan_session
+        if not selected_session:
+            latest = await db.execute(
+                text(
+                    "SELECT scan_session FROM scan_process_logs "
+                    "WHERE created_at >= :start "
+                    "ORDER BY created_at DESC LIMIT 1"
+                ),
+                {"start": start},
+            )
+            selected_session = latest.scalar()
+
+        if not selected_session:
+            return {"scan_session": None, "logs": []}
+
+        result = await db.execute(
+            text(
+                "SELECT id, scan_session, scan_mode, stage, stage_label, status, "
+                "input_count, output_count, filtered_count, summary, detail_json, created_at "
+                "FROM scan_process_logs "
+                "WHERE created_at >= :start AND scan_session = :scan_session "
+                "ORDER BY created_at ASC LIMIT :limit"
+            ),
+            {"start": start, "scan_session": selected_session, "limit": limit},
+        )
+        rows = result.fetchall()
+
+    logs = []
+    for row in rows:
+        r = row._mapping
+        logs.append({
+            "id": r["id"],
+            "scan_session": r["scan_session"],
+            "scan_mode": r["scan_mode"] or "",
+            "stage": r["stage"],
+            "stage_label": r["stage_label"],
+            "status": r["status"] or "ok",
+            "input_count": r["input_count"] or 0,
+            "output_count": r["output_count"] or 0,
+            "filtered_count": r["filtered_count"] or 0,
+            "summary": r["summary"] or "",
+            "detail": _decode_detail(r["detail_json"]),
+            "created_at": str(r["created_at"]) if r["created_at"] else "",
+        })
+
+    return {
+        "scan_session": selected_session,
+        "logs": logs,
+    }
+
+
+@router.get("/research-observations")
+async def get_research_observations(
+    scan_session: str = None,
+    limit: int = 80,
+    days: int = 7,
+    _admin: dict = Depends(get_current_admin),
+):
+    """获取候选股投研观察记录（管理员）"""
+    start = (datetime.now() - timedelta(days=days)).strftime("%Y-%m-%d")
+    limit = max(1, min(limit, 200))
+
+    async with get_db() as db:
+        selected_session = scan_session
+        if not selected_session:
+            latest = await db.execute(
+                text(
+                    "SELECT scan_session FROM research_observations "
+                    "WHERE created_at >= :start ORDER BY created_at DESC LIMIT 1"
+                ),
+                {"start": start},
+            )
+            selected_session = latest.scalar()
+
+        if not selected_session:
+            return {"scan_session": None, "observations": [], "reason_counts": {}}
+
+        result = await db.execute(
+            text(
+                "SELECT id, scan_session, scan_mode, ts_code, name, theme_name, stock_role, "
+                "action_plan, final_score, catalyst_score, theme_money_score, stock_money_score, "
+                "emotion_role_score, timing_score, entry_signal_type, elimination_reason, detail_json, created_at "
+                "FROM research_observations "
+                "WHERE created_at >= :start AND scan_session = :scan_session "
+                "ORDER BY final_score DESC LIMIT :limit"
+            ),
+            {"start": start, "scan_session": selected_session, "limit": limit},
+        )
+        rows = result.fetchall()
+
+    observations = [_row_observation(row) for row in rows]
+    reason_counts = {}
+    for item in observations:
+        for part in (item["elimination_reason"] or "未知").split("；"):
+            if not part:
+                continue
+            reason_counts[part] = reason_counts.get(part, 0) + 1
+
+    return {
+        "scan_session": selected_session,
+        "observations": observations,
+        "reason_counts": reason_counts,
+    }
+
+
+@router.get("/scan-sessions")
+async def get_scan_sessions(
+    days: int = 7,
+    limit: int = 30,
+    _admin: dict = Depends(get_current_admin),
+):
+    """获取筛选会话摘要（管理员）"""
+    start = (datetime.now() - timedelta(days=days)).strftime("%Y-%m-%d")
+    limit = max(1, min(limit, 100))
+
+    async with get_db() as db:
+        result = await db.execute(
+            text(
+                "SELECT scan_session, scan_mode, stage, status, input_count, "
+                "output_count, filtered_count, summary, created_at "
+                "FROM scan_process_logs "
+                "WHERE created_at >= :start "
+                "ORDER BY created_at DESC LIMIT 1000"
+            ),
+            {"start": start},
+        )
+        rows = result.fetchall()
+
+    sessions = {}
+    order = []
+    for row in rows:
+        r = row._mapping
+        session_id = r["scan_session"]
+        if session_id not in sessions:
+            sessions[session_id] = {
+                "scan_session": session_id,
+                "scan_mode": r["scan_mode"] or "",
+                "created_at": str(r["created_at"]) if r["created_at"] else "",
+                "stage_count": 0,
+                "status": "ok",
+                "input_count": 0,
+                "final_count": 0,
+                "drop_count": 0,
+                "last_summary": r["summary"] or "",
+            }
+            order.append(session_id)
+
+        item = sessions[session_id]
+        item["stage_count"] += 1
+        item["input_count"] = max(item["input_count"], int(r["input_count"] or 0))
+        item["drop_count"] += int(r["filtered_count"] or 0)
+        if r["stage"] == "final_filter" and item["final_count"] == 0:
+            item["final_count"] = int(r["output_count"] or 0)
+            item["last_summary"] = r["summary"] or item["last_summary"]
+
+        status = (r["status"] or "ok").lower()
+        if status in {"failed", "error", "critical"}:
+            item["status"] = "failed"
+        elif status in {"warning", "empty"} and item["status"] == "ok":
+            item["status"] = status
+
+    return {
+        "sessions": [sessions[sid] for sid in order[:limit]],
+    }
+
+
+@router.get("/data-source-health")
+async def get_data_source_health(
+    days: int = 7,
+    _admin: dict = Depends(get_current_admin),
+):
+    """数据源健康摘要（管理员，只读）。"""
+    start = (datetime.now() - timedelta(days=days)).strftime("%Y-%m-%d")
+    known_sources = ["eastmoney", "tencent", "tushare", "akshare", "sina", "news", "tushare_news"]
+    health = {
+        source: {
+            "source": source,
+            "status": "ok",
+            "error_count": 0,
+            "warning_count": 0,
+            "last_error": "",
+            "last_seen_at": "",
+        }
+        for source in known_sources
+    }
+
+    async with get_db() as db:
+        result = await db.execute(
+            text(
+                "SELECT source, level, message, created_at FROM error_logs "
+                "WHERE created_at >= :start "
+                "ORDER BY created_at DESC LIMIT 500"
+            ),
+            {"start": start},
+        )
+        rows = result.fetchall()
+
+        table_rows = {}
+        for table_name, sql in {
+            "market_temperature": "SELECT trade_date, created_at FROM market_temperature ORDER BY id DESC LIMIT 1",
+            "sector_heat": "SELECT trade_date, created_at FROM sector_heat ORDER BY id DESC LIMIT 1",
+            "recommendations": "SELECT created_at FROM recommendations ORDER BY id DESC LIMIT 1",
+            "news_items": "SELECT created_at FROM news_items ORDER BY id DESC LIMIT 1",
+            "catalysts": "SELECT created_at FROM catalysts ORDER BY id DESC LIMIT 1",
+        }.items():
+            row = (await db.execute(text(sql))).fetchone()
+            table_rows[table_name] = dict(row._mapping) if row else {}
+
+    for row in rows:
+        r = row._mapping
+        source_text = str(r["source"] or "").lower()
+        matched = next((source for source in known_sources if source in source_text), source_text or "unknown")
+        if matched not in health:
+            health[matched] = {
+                "source": matched,
+                "status": "ok",
+                "error_count": 0,
+                "warning_count": 0,
+                "last_error": "",
+                "last_seen_at": "",
+            }
+        item = health[matched]
+        level_text = str(r["level"] or "error").lower()
+        if level_text in {"warning", "warn"}:
+            item["warning_count"] += 1
+            if item["status"] == "ok":
+                item["status"] = "warning"
+        else:
+            item["error_count"] += 1
+            item["status"] = "error"
+        if not item["last_error"]:
+            item["last_error"] = r["message"] or ""
+            item["last_seen_at"] = str(r["created_at"] or "")
+
+    return {
+        "days": days,
+        "sources": sorted(health.values(), key=lambda item: (item["status"] != "error", item["status"] != "warning", item["source"])),
+        "freshness": {
+            key: {k: str(v or "") for k, v in value.items()}
+            for key, value in table_rows.items()
+        },
+        "generated_at": datetime.now().isoformat(),
+    }
+
+
+@router.get("/tasks")
+async def get_tasks(_admin: dict = Depends(get_current_admin)):
+    """后台任务中心摘要（管理员，只读）。"""
+    from app.engine.scheduler import scheduler
+    from app.engine.recommender import _scan_running, _scan_lock
+
+    jobs = []
+    for job in scheduler.get_jobs():
+        jobs.append({
+            "id": job.id,
+            "name": job.name,
+            "next_run_time": str(job.next_run_time) if job.next_run_time else "",
+            "trigger": str(job.trigger),
+        })
+
+    async with get_db() as db:
+        recent_scan = await db.execute(
+            text(
+                "SELECT scan_session, scan_mode, stage, status, output_count, summary, created_at "
+                "FROM scan_process_logs ORDER BY created_at DESC LIMIT 12"
+            )
+        )
+        recent_errors = await db.execute(
+            text(
+                "SELECT source, level, message, created_at FROM error_logs "
+                "ORDER BY created_at DESC LIMIT 8"
+            )
+        )
+
+    return {
+        "scheduler_running": scheduler.running,
+        "scan_running": _scan_running,
+        "scan_locked": _scan_lock.locked(),
+        "job_count": len(jobs),
+        "jobs": sorted(jobs, key=lambda item: item["next_run_time"] or "9999"),
+        "recent_scan_logs": [
+            {
+                "scan_session": r._mapping["scan_session"],
+                "scan_mode": r._mapping["scan_mode"] or "",
+                "stage": r._mapping["stage"],
+                "status": r._mapping["status"] or "ok",
+                "output_count": r._mapping["output_count"] or 0,
+                "summary": r._mapping["summary"] or "",
+                "created_at": str(r._mapping["created_at"] or ""),
+            }
+            for r in recent_scan.fetchall()
+        ],
+        "recent_errors": [
+            {
+                "source": r._mapping["source"],
+                "level": r._mapping["level"],
+                "message": r._mapping["message"],
+                "created_at": str(r._mapping["created_at"] or ""),
+            }
+            for r in recent_errors.fetchall()
+        ],
+        "generated_at": datetime.now().isoformat(),
+    }

backend/app/db/database.py

@@ -113,6 +113,11 @@ async def init_db():
             "CREATE UNIQUE INDEX IF NOT EXISTS idx_news_items_dedup_key ON news_items(dedup_key)",
             "CREATE INDEX IF NOT EXISTS idx_news_items_status_time ON news_items(status, published_at)",
             "CREATE INDEX IF NOT EXISTS idx_catalysts_source_url ON catalysts(source, url)",
+            "CREATE INDEX IF NOT EXISTS idx_scan_process_session_time ON scan_process_logs(scan_session, created_at)",
+            "CREATE INDEX IF NOT EXISTS idx_scan_process_stage_time ON scan_process_logs(stage, created_at)",
+            "CREATE INDEX IF NOT EXISTS idx_research_observations_session_score ON research_observations(scan_session, final_score)",
+            "CREATE INDEX IF NOT EXISTS idx_research_observations_code_time ON research_observations(ts_code, created_at)",
+            "CREATE INDEX IF NOT EXISTS idx_research_observations_theme_time ON research_observations(theme_name, created_at)",
         ]:
             try:
                 await conn.execute(__import__("sqlalchemy").text(index_sql))

backend/app/db/research_logger.py

@@ -0,0 +1,56 @@
+"""投研观察记录。"""
+
+from __future__ import annotations
+
+import json
+from datetime import datetime
+from typing import Any
+
+from app.db.database import get_db
+from app.db import tables
+
+
+def _safe_json(data: dict[str, Any] | None) -> str:
+    if not data:
+        return "{}"
+    try:
+        return json.dumps(data, ensure_ascii=False, default=str)
+    except Exception:
+        return "{}"
+
+
+async def save_research_observations(observations: list[dict[str, Any]]) -> None:
+    """批量保存本轮候选股投研观察。
+
+    记录失败不能影响筛选主流程。
+    """
+    if not observations:
+        return
+    try:
+        values = []
+        now = datetime.now()
+        for item in observations:
+            values.append({
+                "scan_session": item.get("scan_session") or "manual",
+                "scan_mode": item.get("scan_mode") or "",
+                "ts_code": item.get("ts_code") or "",
+                "name": item.get("name") or item.get("ts_code") or "",
+                "theme_name": item.get("theme_name") or "",
+                "stock_role": item.get("stock_role") or "",
+                "action_plan": item.get("action_plan") or "观察",
+                "final_score": float(item.get("final_score") or 0),
+                "catalyst_score": float(item.get("catalyst_score") or 0),
+                "theme_money_score": float(item.get("theme_money_score") or 0),
+                "stock_money_score": float(item.get("stock_money_score") or 0),
+                "emotion_role_score": float(item.get("emotion_role_score") or 0),
+                "timing_score": float(item.get("timing_score") or 0),
+                "entry_signal_type": item.get("entry_signal_type") or "none",
+                "elimination_reason": item.get("elimination_reason") or "",
+                "detail_json": _safe_json(item.get("detail")),
+                "created_at": now,
+            })
+        async with get_db() as db:
+            await db.execute(tables.research_observations_table.insert(), values)
+            await db.commit()
+    except Exception:
+        pass

backend/app/db/scan_logger.py

@@ -0,0 +1,60 @@
+"""筛选过程日志持久化。"""
+
+from __future__ import annotations
+
+import json
+from datetime import datetime
+from typing import Any
+
+from app.db.database import get_db
+from app.db import tables
+
+
+def _safe_json(data: dict[str, Any] | None) -> str:
+    if not data:
+        return "{}"
+    try:
+        return json.dumps(data, ensure_ascii=False, default=str)
+    except Exception:
+        return "{}"
+
+
+async def log_scan_stage(
+    *,
+    scan_session: str,
+    scan_mode: str,
+    stage: str,
+    stage_label: str,
+    input_count: int = 0,
+    output_count: int = 0,
+    filtered_count: int | None = None,
+    status: str = "ok",
+    summary: str = "",
+    detail: dict[str, Any] | None = None,
+) -> None:
+    """记录筛选漏斗的一关。
+
+    这是观测能力，不能反过来影响筛选主流程，所以所有异常都会被吞掉。
+    """
+    try:
+        if filtered_count is None:
+            filtered_count = max(int(input_count or 0) - int(output_count or 0), 0)
+        async with get_db() as db:
+            await db.execute(
+                tables.scan_process_logs_table.insert().values(
+                    scan_session=scan_session or "manual",
+                    scan_mode=scan_mode or "",
+                    stage=stage,
+                    stage_label=stage_label,
+                    status=status,
+                    input_count=int(input_count or 0),
+                    output_count=int(output_count or 0),
+                    filtered_count=int(filtered_count or 0),
+                    summary=summary or "",
+                    detail_json=_safe_json(detail),
+                    created_at=datetime.now(),
+                )
+            )
+            await db.commit()
+    except Exception:
+        pass

backend/app/db/tables.py

@@ -197,6 +197,44 @@ error_logs_table = Table(
     Column("created_at", DateTime, server_default=func.now()),
 )
 
+scan_process_logs_table = Table(
+    "scan_process_logs", metadata,
+    Column("id", Integer, primary_key=True, autoincrement=True),
+    Column("scan_session", Text, nullable=False),
+    Column("scan_mode", Text, default=""),
+    Column("stage", Text, nullable=False),
+    Column("stage_label", Text, nullable=False),
+    Column("status", Text, default="ok"),
+    Column("input_count", Integer, default=0),
+    Column("output_count", Integer, default=0),
+    Column("filtered_count", Integer, default=0),
+    Column("summary", Text, default=""),
+    Column("detail_json", Text, default="{}"),
+    Column("created_at", DateTime, server_default=func.now()),
+)
+
+research_observations_table = Table(
+    "research_observations", metadata,
+    Column("id", Integer, primary_key=True, autoincrement=True),
+    Column("scan_session", Text, nullable=False),
+    Column("scan_mode", Text, default=""),
+    Column("ts_code", Text, nullable=False),
+    Column("name", Text, nullable=False),
+    Column("theme_name", Text, default=""),
+    Column("stock_role", Text, default=""),
+    Column("action_plan", Text, default="观察"),
+    Column("final_score", Float, default=0),
+    Column("catalyst_score", Float, default=0),
+    Column("theme_money_score", Float, default=0),
+    Column("stock_money_score", Float, default=0),
+    Column("emotion_role_score", Float, default=0),
+    Column("timing_score", Float, default=0),
+    Column("entry_signal_type", Text, default="none"),
+    Column("elimination_reason", Text, default=""),
+    Column("detail_json", Text, default="{}"),
+    Column("created_at", DateTime, server_default=func.now()),
+)
+
 strategy_configs_table = Table(
     "strategy_configs", metadata,
     Column("id", Integer, primary_key=True, autoincrement=True),

backend/app/engine/recommender.py

@@ -98,7 +98,7 @@ async def refresh_recommendations(trade_date: str = None, scan_session: str = "m
         try:
             # run_screening 内部混合了大量同步行情请求和 pandas 计算，
             # 若直接在主事件循环执行，会导致页面读接口和 WebSocket 被拖住。
-            result = await _run_async_in_worker(run_screening, trade_date)
+            result = await _run_async_in_worker(run_screening, trade_date, scan_session=scan_session)
 
             # 给每条推荐添加 scan_session
             for rec in result.get("recommendations", []):

backend/app/engine/screener.py

@@ -40,6 +40,8 @@ from app.config import settings, should_prefer_realtime_today
 from app.data.tushare_client import tushare_client
 from app.llm.strategy_selector import StrategyProfile, select_strategy_profile
 from app.catalyst.service import build_theme_catalyst_scores
+from app.db.scan_logger import log_scan_stage
+from app.db.research_logger import save_research_observations
 
 logger = logging.getLogger(__name__)
 
@@ -49,7 +51,7 @@ def _is_main_theme_recommendation(rec: Recommendation) -> bool:
     return bool(tags & {"hot_theme_core", "theme_leader", "top_theme_member", "sector_recall"})
 
 
-async def run_screening(trade_date: str = None) -> dict:
+async def run_screening(trade_date: str = None, scan_session: str = "manual") -> dict:
     """执行趋势突破筛选流程
 
     返回: {
@@ -79,6 +81,24 @@ async def run_screening(trade_date: str = None) -> dict:
         logger.info(f"市场温度: {market_temp.temperature}")
 
     market_temp_score = market_temp.temperature
+    await log_scan_stage(
+        scan_session=scan_session,
+        scan_mode=scan_mode,
+        stage="market_temperature",
+        stage_label="市场温度",
+        input_count=(market_temp.up_count or 0) + (market_temp.down_count or 0),
+        output_count=1,
+        filtered_count=0,
+        summary=f"市场温度 {market_temp.temperature:.1f}，上涨{market_temp.up_count or 0}家，下跌{market_temp.down_count or 0}家",
+        detail={
+            "temperature": market_temp.temperature,
+            "up_count": market_temp.up_count,
+            "down_count": market_temp.down_count,
+            "limit_up_count": market_temp.limit_up_count,
+            "limit_down_count": market_temp.limit_down_count,
+            "intraday": intraday,
+        },
+    )
 
     # ── Step 1: 主线主题定位 ──
     logger.info("=== Step 1: 主线主题定位 ===")
@@ -97,6 +117,30 @@ async def run_screening(trade_date: str = None) -> dict:
         hot_sectors = all_themes[:settings.top_sector_count]
 
     hot_sectors = await _apply_catalyst_scores(hot_sectors)
+    await log_scan_stage(
+        scan_session=scan_session,
+        scan_mode=scan_mode,
+        stage="theme_selection",
+        stage_label="主线主题",
+        input_count=len(all_themes),
+        output_count=len(hot_sectors),
+        summary=f"从 {len(all_themes)} 个主题中保留 {len(hot_sectors)} 条主线",
+        detail={
+            "themes": [
+                {
+                    "name": s.sector_name,
+                    "heat_score": s.heat_score,
+                    "pct_change": s.realtime_pct_change if s.realtime_pct_change is not None else s.pct_change,
+                    "capital_inflow": s.capital_inflow,
+                    "limit_up_count": s.limit_up_count,
+                    "stage": s.stage,
+                    "catalyst_score": getattr(s, "catalyst_score", 0),
+                    "catalyst_count": getattr(s, "catalyst_count", 0),
+                }
+                for s in hot_sectors[:10]
+            ],
+        },
+    )
 
     for s in hot_sectors:
         logger.info(f"  目标主题: {s.sector_name} 涨幅{s.pct_change}% 资金{s.capital_inflow:.0f}万 "
@@ -111,18 +155,53 @@ async def run_screening(trade_date: str = None) -> dict:
         f"=== 今日策略: {strategy_profile.name} ({strategy_profile.strategy_id}) "
         f"threshold={strategy_profile.buy_threshold} min_score={strategy_profile.min_score} ==="
     )
+    await log_scan_stage(
+        scan_session=scan_session,
+        scan_mode=scan_mode,
+        stage="strategy_profile",
+        stage_label="策略参数",
+        input_count=len(hot_sectors),
+        output_count=1,
+        filtered_count=0,
+        summary=f"{strategy_profile.name}: 买入线 {strategy_profile.buy_threshold}，保留线 {strategy_profile.min_score}",
+        detail=strategy_profile.model_dump(),
+    )
 
     # ── Step 2: 多路召回构建候选池 ──
     logger.info("=== Step 2: 多路召回候选池 ===")
+    candidate_metrics: dict = {}
     candidates = await _build_candidate_pool(
         hot_sectors=hot_sectors,
         trade_date=trade_date,
         intraday=intraday,
         market_temp=market_temp,
+        metrics=candidate_metrics,
+    )
+    await log_scan_stage(
+        scan_session=scan_session,
+        scan_mode=scan_mode,
+        stage="candidate_recall",
+        stage_label="候选召回",
+        input_count=len(hot_sectors),
+        output_count=len(candidates),
+        filtered_count=max(int(candidate_metrics.get("merged_count", 0) or 0) - len(candidates), 0),
+        summary=f"多路召回合并后进入规则评分 {len(candidates)} 只",
+        detail=candidate_metrics,
     )
 
     if not candidates:
         logger.info("=== 筛选完成: 0 只股票 ===")
+        await log_scan_stage(
+            scan_session=scan_session,
+            scan_mode=scan_mode,
+            stage="final_filter",
+            stage_label="最终作战池",
+            input_count=0,
+            output_count=0,
+            filtered_count=0,
+            status="empty",
+            summary="候选池为空，本轮没有形成推荐",
+        )
         return {
             "market_temp": market_temp,
             "hot_sectors": hot_sectors,
@@ -132,6 +211,9 @@ async def run_screening(trade_date: str = None) -> dict:
 
     # ── Step 3 之前：注入腾讯实时价格（防止 Tushare 日线数据过时） ──
     if candidates:
+        quote_requested = len([c for c in candidates if "ts_code" in c])
+        quote_updated = 0
+        quote_error = ""
         try:
             from app.data.tencent_client import get_realtime_quotes_batch
             codes = [c["ts_code"] for c in candidates if "ts_code" in c]
@@ -140,19 +222,56 @@ async def run_screening(trade_date: str = None) -> dict:
                 q = quotes.get(c["ts_code"])
                 if q and q.price > 0:
                     c["price"] = q.price
+                    quote_updated += 1
         except Exception as e:
+            quote_error = str(e)
             logger.warning(f"注入实时价格失败，使用 Tushare 收盘价: {e}")
+        await log_scan_stage(
+            scan_session=scan_session,
+            scan_mode=scan_mode,
+            stage="realtime_quote",
+            stage_label="实时行情校准",
+            input_count=quote_requested,
+            output_count=quote_updated,
+            status="warning" if quote_error else "ok",
+            summary=f"实时行情更新 {quote_updated}/{quote_requested} 只",
+            detail={"requested": quote_requested, "updated": quote_updated, "error": quote_error},
+        )
 
     # ── Step 3: 规则评分与交易计划 ──
     logger.info("=== Step 3: 规则评分与交易计划 ===")
+    scoring_metrics: dict = {}
+    research_observations: list[dict] = []
     recommendations = await _build_recommendations(
-        candidates, market_temp, hot_sectors, market_temp_score, intraday, strategy_profile,
+        candidates,
+        market_temp,
+        hot_sectors,
+        market_temp_score,
+        intraday,
+        strategy_profile,
+        metrics=scoring_metrics,
+        research_observations=research_observations,
+        scan_session=scan_session,
+        scan_mode=scan_mode,
+    )
+    await log_scan_stage(
+        scan_session=scan_session,
+        scan_mode=scan_mode,
+        stage="rule_scoring",
+        stage_label="规则评分",
+        input_count=len(candidates),
+        output_count=len(recommendations),
+        summary=f"完成 {scoring_metrics.get('analyzed_count', len(candidates))} 只规则评分，生成 {len(recommendations)} 个交易计划",
+        detail=scoring_metrics,
     )
 
+    before_final_filter = len(recommendations)
+    final_filter_reasons = _build_final_filter_reasons(recommendations, strategy_profile)
     recommendations = [
         r for r in recommendations
         if _is_main_theme_recommendation(r) and r.score >= strategy_profile.min_score
     ]
+    after_theme_filter = len(recommendations)
 
     recommendations = _finalize_battle_plan(
         recommendations=recommendations,
@@ -160,6 +279,45 @@ async def run_screening(trade_date: str = None) -> dict:
         market_temp=market_temp,
         strategy_profile=strategy_profile,
     )
+    action_counts = {"可操作": 0, "重点关注": 0, "观察": 0}
+    for rec in recommendations:
+        action_counts[rec.action_plan] = action_counts.get(rec.action_plan, 0) + 1
+    final_codes = {rec.ts_code for rec in recommendations}
+    _apply_final_research_outcomes(
+        observations=research_observations,
+        final_codes=final_codes,
+        final_filter_reasons=final_filter_reasons,
+        min_score=strategy_profile.min_score,
+    )
+    await save_research_observations(research_observations)
+    await log_scan_stage(
+        scan_session=scan_session,
+        scan_mode=scan_mode,
+        stage="final_filter",
+        stage_label="最终作战池",
+        input_count=before_final_filter,
+        output_count=len(recommendations),
+        filtered_count=max(before_final_filter - len(recommendations), 0),
+        status="empty" if len(recommendations) == 0 else "ok",
+        summary=f"主线与分数过滤后保留 {after_theme_filter} 只，最终作战池 {len(recommendations)} 只",
+        detail={
+            "before_final_filter": before_final_filter,
+            "after_theme_score_filter": after_theme_filter,
+            "final_count": len(recommendations),
+            "action_counts": action_counts,
+            "elimination_reasons": _count_elimination_reasons(research_observations),
+            "top": [
+                {
+                    "ts_code": r.ts_code,
+                    "name": r.name,
+                    "score": r.score,
+                    "action_plan": r.action_plan,
+                    "entry_signal_type": r.entry_signal_type,
+                }
+                for r in recommendations[:10]
+            ],
+        },
+    )
 
     logger.info(f"=== 筛选完成: {len(recommendations)} 只股票 ({scan_mode}) ===")
     for r in recommendations[:5]:
@@ -371,6 +529,7 @@ async def _build_candidate_pool(
     trade_date: str | None,
     intraday: bool,
     market_temp: MarketTemperature,
+    metrics: dict | None = None,
 ) -> list[dict]:
     """多路召回候选池。
 
@@ -408,6 +567,7 @@ async def _build_candidate_pool(
             realtime_candidates = []
         _merge_candidate_batch(merged, realtime_candidates, route="realtime_market")
     else:
+        intraday_candidates = []
         realtime_candidates = []
 
     candidates = list(merged.values())
@@ -425,6 +585,31 @@ async def _build_candidate_pool(
         f"{'intraday=' + str(len(intraday_candidates)) + ' realtime=' + str(len(realtime_candidates)) if intraday else ''} "
         f"→ merged={len(top)}"
     )
+    if metrics is not None:
+        route_counts = {
+            "sector_recall": len(sector_candidates),
+            "trend_scan": len(trend_candidates),
+            "intraday_active": len(intraday_candidates),
+            "realtime_market": len(realtime_candidates),
+        }
+        metrics.update({
+            "route_counts": route_counts,
+            "raw_total": sum(route_counts.values()),
+            "merged_count": len(candidates),
+            "pool_limit": settings.candidate_pool_limit,
+            "output_count": len(top),
+            "deduplicated_count": max(sum(route_counts.values()) - len(candidates), 0),
+            "top_candidates": [
+                {
+                    "ts_code": item.get("ts_code"),
+                    "name": item.get("name"),
+                    "sector": item.get("sector"),
+                    "recall_score": item.get("recall_score"),
+                    "recall_tags": item.get("recall_tags", []),
+                }
+                for item in top[:10]
+            ],
+        })
     return top
 
 
@@ -595,6 +780,10 @@ async def _build_recommendations(
     market_temp_score: float = 0,
     intraday: bool = False,
     strategy_profile=None,
+    metrics: dict | None = None,
+    research_observations: list[dict] | None = None,
+    scan_session: str = "manual",
+    scan_mode: str = "",
 ) -> list[Recommendation]:
     """Step 3: 规则边界建模、评分与交易计划生成。"""
     from app.data.tushare_client import tushare_client
@@ -618,6 +807,7 @@ async def _build_recommendations(
 
     recommendations = []
     total = len(candidates)
+    skipped_counts = {"missing_code": 0, "kline_empty": 0, "stale_kline": 0, "exception": 0}
     signal_counts = {"breakout": 0, "breakout_confirm": 0, "pullback": 0, "launch": 0, "reversal": 0, "none": 0}
     score_weights = strategy_profile.score_weights if strategy_profile else {
         "catalyst": 0.30,
@@ -633,6 +823,7 @@ async def _build_recommendations(
     for idx, stock in enumerate(candidates):
         ts_code = stock.get("ts_code", "")
         if not ts_code:
+            skipped_counts["missing_code"] += 1
             continue
 
         name = stock.get("name") or name_map.get(ts_code, ts_code)
@@ -642,6 +833,7 @@ async def _build_recommendations(
             # 获取 120 日 K 线
             df = tushare_client.get_stock_daily(ts_code, 120)
             if df.empty or len(df) < 30:
+                skipped_counts["kline_empty"] += 1
                 continue
 
             # 数据新鲜度校验：最后一行必须是近 10 天内的数据
@@ -650,6 +842,7 @@ async def _build_recommendations(
             cutoff = (datetime.now() - timedelta(days=10)).strftime("%Y%m%d")
             if last_date < cutoff:
                 logger.warning(f"K线数据过时 {ts_code}: 最新={last_date}, 需≥{cutoff}, 跳过")
+                skipped_counts["stale_kline"] += 1
                 continue
 
             # 添加技术指标
@@ -979,9 +1172,29 @@ async def _build_recommendations(
                 decision_trace=decision_trace,
             )
             recommendations.append(rec)
+            if research_observations is not None:
+                research_observations.append(_build_research_observation(
+                    scan_session=scan_session,
+                    scan_mode=scan_mode,
+                    stock=stock,
+                    rec=rec,
+                    scoring_axes=scoring_axes,
+                    flow_momentum_score=flow_momentum_score,
+                    entry_signal_score=entry_signal.get("signal_score", 0),
+                    sector_stage=sector_stage,
+                    sector_limit_up=sector_limit_up,
+                    catalyst_reasons=catalyst_reasons,
+                    hot_theme_match=hot_theme_match,
+                    market_temp=market_temp,
+                    score_weights=score_weights,
+                    boosts=boosts,
+                    penalties=penalty_notes,
+                    risk_tags=risk_tags,
+                ))
 
         except Exception as e:
             logger.debug(f"规则分析 {ts_code} 失败: {e}")
+            skipped_counts["exception"] += 1
             continue
 
     logger.info(
@@ -993,6 +1206,29 @@ async def _build_recommendations(
     )
 
     recommendations.sort(key=lambda rec: rec.score, reverse=True)
+    if metrics is not None:
+        action_counts = {"可操作": 0, "重点关注": 0, "观察": 0}
+        for rec in recommendations:
+            action_counts[rec.action_plan] = action_counts.get(rec.action_plan, 0) + 1
+        metrics.update({
+            "input_count": total,
+            "analyzed_count": total - sum(skipped_counts.values()),
+            "output_count": len(recommendations),
+            "skipped_counts": skipped_counts,
+            "signal_counts": signal_counts,
+            "action_counts_before_final_filter": action_counts,
+            "score_top": [
+                {
+                    "ts_code": rec.ts_code,
+                    "name": rec.name,
+                    "sector": rec.sector,
+                    "score": rec.score,
+                    "action_plan": rec.action_plan,
+                    "entry_signal_type": rec.entry_signal_type,
+                }
+                for rec in recommendations[:10]
+            ],
+        })
     return recommendations
 
 
@@ -1691,6 +1927,156 @@ def _score_to_level(score: float) -> str:
         return "回避"
 
 
+def _derive_stock_role(stock: dict, hot_theme_match: SectorInfo | None) -> str:
+    tags = set(stock.get("recall_tags", []) or [])
+    if "theme_leader" in tags:
+        return "龙头/前排"
+    if "top_theme_member" in tags:
+        return "主题前排"
+    if "intraday_active" in tags or "realtime_active" in tags or "realtime_market" in tags:
+        return "盘中异动"
+    if hot_theme_match:
+        return "主线成分"
+    return "观察候选"
+
+
+def _build_research_observation(
+    *,
+    scan_session: str,
+    scan_mode: str,
+    stock: dict,
+    rec: Recommendation,
+    scoring_axes: dict[str, float],
+    flow_momentum_score: float,
+    entry_signal_score: float,
+    sector_stage: str,
+    sector_limit_up: int,
+    catalyst_reasons: list[str],
+    hot_theme_match: SectorInfo | None,
+    market_temp: MarketTemperature,
+    score_weights: dict[str, float],
+    boosts: list[dict],
+    penalties: list[dict],
+    risk_tags: list[str],
+) -> dict:
+    theme_name = hot_theme_match.sector_name if hot_theme_match else rec.sector
+    stock_role = _derive_stock_role(stock, hot_theme_match)
+    detail = {
+        "market": {
+            "temperature": round(market_temp.temperature, 1),
+            "up_count": market_temp.up_count,
+            "down_count": market_temp.down_count,
+            "limit_up_count": market_temp.limit_up_count,
+            "broken_rate": market_temp.broken_rate,
+        },
+        "theme": {
+            "name": theme_name,
+            "matched": bool(hot_theme_match),
+            "stage": sector_stage,
+            "limit_up_count": sector_limit_up,
+            "heat_score": rec.sector_score,
+            "catalyst_reasons": catalyst_reasons[:3],
+        },
+        "stock": {
+            "role": stock_role,
+            "recall_score": stock.get("recall_score", 0),
+            "recall_tags": stock.get("recall_tags", []),
+            "main_net_inflow": stock.get("main_net_inflow", 0),
+            "inflow_ratio": stock.get("inflow_ratio", 0),
+            "turnover_rate": stock.get("turnover_rate", 0),
+            "volume_ratio": stock.get("volume_ratio"),
+            "circ_mv": stock.get("circ_mv"),
+        },
+        "scores": {
+            "weights": score_weights,
+            "axes": scoring_axes,
+            "flow_momentum": flow_momentum_score,
+            "entry_signal_score": entry_signal_score,
+            "final_score": rec.score,
+        },
+        "decision": {
+            "action_plan": rec.action_plan,
+            "signal": rec.signal,
+            "entry_signal_type": rec.entry_signal_type,
+            "trigger_condition": rec.trigger_condition,
+            "invalidation_condition": rec.invalidation_condition,
+            "risk_note": rec.risk_note,
+            "boosts": boosts[:4],
+            "penalties": penalties[:4],
+            "risk_tags": risk_tags,
+        },
+    }
+    return {
+        "scan_session": scan_session,
+        "scan_mode": scan_mode,
+        "ts_code": rec.ts_code,
+        "name": rec.name,
+        "theme_name": theme_name,
+        "stock_role": stock_role,
+        "action_plan": rec.action_plan,
+        "final_score": rec.score,
+        "catalyst_score": scoring_axes.get("catalyst", 0),
+        "theme_money_score": scoring_axes.get("theme_money", 0),
+        "stock_money_score": scoring_axes.get("stock_money", 0),
+        "emotion_role_score": scoring_axes.get("emotion_role", 0),
+        "timing_score": scoring_axes.get("timing", 0),
+        "entry_signal_type": rec.entry_signal_type,
+        "elimination_reason": "",
+        "detail": detail,
+    }
+
+
+def _build_final_filter_reasons(
+    recommendations: list[Recommendation],
+    strategy_profile: StrategyProfile,
+) -> dict[str, str]:
+    reasons = {}
+    for rec in recommendations:
+        reason_parts = []
+        if not _is_main_theme_recommendation(rec):
+            reason_parts.append("非主线候选")
+        if rec.score < strategy_profile.min_score:
+            reason_parts.append(f"低于保留线{strategy_profile.min_score:.0f}")
+        if rec.action_plan == "观察":
+            reason_parts.append("仅观察档")
+        elif rec.action_plan == "重点关注":
+            reason_parts.append("关注未入最终池")
+        elif rec.action_plan == "可操作":
+            reason_parts.append("可操作但名额/风控限制")
+        reasons[rec.ts_code] = "；".join(reason_parts) or "最终名额限制"
+    return reasons
+
+
+def _apply_final_research_outcomes(
+    *,
+    observations: list[dict],
+    final_codes: set[str],
+    final_filter_reasons: dict[str, str],
+    min_score: float,
+) -> None:
+    for item in observations:
+        ts_code = item.get("ts_code", "")
+        if ts_code in final_codes:
+            item["elimination_reason"] = "进入最终作战池"
+            item.setdefault("detail", {}).setdefault("decision", {})["final_outcome"] = "kept"
+            continue
+        reason = final_filter_reasons.get(ts_code) or f"未达到保留线{min_score:.0f}"
+        item["elimination_reason"] = reason
+        item.setdefault("detail", {}).setdefault("decision", {})["final_outcome"] = "filtered"
+        item["detail"]["decision"]["elimination_reason"] = reason
+
+
+def _count_elimination_reasons(observations: list[dict]) -> dict[str, int]:
+    counts: dict[str, int] = {}
+    for item in observations:
+        reason = item.get("elimination_reason") or "未知"
+        for part in str(reason).split("；"):
+            if not part:
+                continue
+            counts[part] = counts.get(part, 0) + 1
+    return counts
+
+
 def _generate_reasons(
     stock: dict, entry_signal: dict, tech: TechnicalSignal | None,
     df, intraday: bool = False,
@@ -2018,4 +2404,3 @@ def _build_trace_evidence(
     if signal_matches_profile:
         evidence.append("符合今日策略偏好的入场类型")
     return evidence[:5]
-

frontend/src/app/(auth)/data-health/page.tsx

@@ -0,0 +1,183 @@
+"use client";
+
+import { useCallback, useEffect, useMemo, useState } from "react";
+import { useAuth } from "@/hooks/use-auth";
+import { getDataSourceHealthAPI, type DataSourceHealthResult } from "@/lib/api";
+
+export default function DataHealthPage() {
+  const { user } = useAuth();
+  const [days, setDays] = useState(7);
+  const [data, setData] = useState<DataSourceHealthResult | null>(null);
+  const [loading, setLoading] = useState(true);
+
+  const loadData = useCallback(async () => {
+    setLoading(true);
+    try {
+      setData(await getDataSourceHealthAPI(days));
+    } finally {
+      setLoading(false);
+    }
+  }, [days]);
+
+  useEffect(() => {
+    if (user?.role === "admin") loadData();
+  }, [user, loadData]);
+
+  const summary = useMemo(() => {
+    const sources = data?.sources || [];
+    return {
+      total: sources.length,
+      errors: sources.filter((item) => item.status === "error").length,
+      warnings: sources.filter((item) => item.status === "warning").length,
+      ok: sources.filter((item) => item.status === "ok").length,
+    };
+  }, [data]);
+
+  if (user?.role !== "admin") {
+    return (
+      <div className="max-w-4xl mx-auto px-4 md:px-8 pt-6">
+        <p className="text-sm text-text-muted">需要管理员权限</p>
+      </div>
+    );
+  }
+
+  return (
+    <div className="max-w-7xl mx-auto px-4 md:px-8 pt-6 pb-20 md:pb-10 space-y-5">
+      <header className="flex flex-col gap-4 md:flex-row md:items-end md:justify-between">
+        <div>
+          <div className="text-[10px] font-semibold uppercase tracking-[0.22em] text-text-muted">Data Health</div>
+          <h1 className="mt-2 text-2xl font-bold tracking-tight text-text-primary">数据源健康</h1>
+          <p className="mt-2 max-w-2xl text-sm leading-6 text-text-secondary">
+            东方财富、腾讯、Tushare、AKShare 等数据源的错误聚合和本地数据新鲜度。
+          </p>
+        </div>
+        <div className="flex items-center gap-2">
+          <select
+            value={days}
+            onChange={(event) => setDays(Number(event.target.value))}
+            className="rounded-xl border border-border-default bg-surface-2 px-3 py-2 text-xs text-text-primary outline-none focus:ring-1 focus:ring-amber-500/30"
+          >
+            <option value={1}>1天</option>
+            <option value={3}>3天</option>
+            <option value={7}>7天</option>
+            <option value={14}>14天</option>
+            <option value={30}>30天</option>
+          </select>
+          <button onClick={loadData} className="rounded-xl border border-border-subtle bg-surface-2 px-3 py-2 text-xs font-medium text-text-secondary transition-all hover:bg-surface-4 hover:text-text-primary">
+            刷新
+          </button>
+        </div>
+      </header>
+
+      <section className="grid grid-cols-2 gap-3 lg:grid-cols-4">
+        <MetricCard label="数据源" value={summary.total} />
+        <MetricCard label="正常" value={summary.ok} tone="ok" />
+        <MetricCard label="警告" value={summary.warnings} tone="warning" />
+        <MetricCard label="错误" value={summary.errors} tone="error" />
+      </section>
+
+      <section className="grid grid-cols-1 gap-5 xl:grid-cols-[1fr_360px]">
+        <div className="glass-card-static overflow-hidden">
+          <div className="flex items-center justify-between border-b border-border-subtle px-4 py-3">
+            <h2 className="text-sm font-semibold text-text-primary">数据源状态</h2>
+            <span className="text-[10px] text-text-muted">{data ? formatDateTime(data.generated_at) : "-"}</span>
+          </div>
+          {loading ? (
+            <div className="space-y-3 p-4">
+              {[1, 2, 3, 4].map((item) => <div key={item} className="h-20 animate-shimmer rounded-xl bg-surface-2" />)}
+            </div>
+          ) : !data?.sources.length ? (
+            <div className="p-10 text-center text-sm text-text-muted">暂无数据源记录</div>
+          ) : (
+            <div className="divide-y divide-border-subtle">
+              {data.sources.map((item) => (
+                <article key={item.source} className="grid gap-3 px-4 py-4 lg:grid-cols-[150px_110px_120px_1fr_140px] lg:items-center">
+                  <div className="text-sm font-semibold text-text-primary">{sourceLabel(item.source)}</div>
+                  <StatusPill status={item.status} />
+                  <div className="font-mono text-xs tabular-nums text-text-secondary">
+                    {item.error_count}错 / {item.warning_count}警
+                  </div>
+                  <div className="min-w-0 text-xs leading-5 text-text-muted line-clamp-2">
+                    {item.last_error || "最近没有记录到异常"}
+                  </div>
+                  <div className="font-mono text-[10px] tabular-nums text-text-muted lg:text-right">
+                    {formatDateTime(item.last_seen_at)}
+                  </div>
+                </article>
+              ))}
+            </div>
+          )}
+        </div>
+
+        <aside className="glass-card-static p-4 self-start">
+          <h2 className="text-sm font-semibold text-text-primary">本地数据新鲜度</h2>
+          <div className="mt-4 space-y-2">
+            {Object.entries(data?.freshness || {}).map(([key, value]) => (
+              <div key={key} className="rounded-xl border border-border-subtle bg-surface-1/70 p-3">
+                <div className="flex items-center justify-between gap-3">
+                  <span className="text-xs font-semibold text-text-primary">{freshnessLabel(key)}</span>
+                  <span className="font-mono text-[10px] text-text-muted">{formatDateTime(value.created_at || "")}</span>
+                </div>
+                {"trade_date" in value ? (
+                  <div className="mt-2 text-xs text-text-secondary">交易日 {value.trade_date || "-"}</div>
+                ) : null}
+              </div>
+            ))}
+            {!data && <div className="rounded-xl border border-border-subtle bg-surface-1/70 p-5 text-sm text-text-muted">读取中...</div>}
+          </div>
+        </aside>
+      </section>
+    </div>
+  );
+}
+
+function MetricCard({ label, value, tone = "default" }: { label: string; value: number; tone?: "default" | "ok" | "warning" | "error" }) {
+  const color = tone === "ok" ? "text-emerald-400" : tone === "warning" ? "text-amber-400" : tone === "error" ? "text-red-400" : "text-text-primary";
+  return (
+    <div className="glass-card-static p-4">
+      <div className="text-[10px] text-text-muted">{label}</div>
+      <div className={`mt-2 font-mono text-2xl font-bold tabular-nums ${color}`}>{value}</div>
+    </div>
+  );
+}
+
+function StatusPill({ status }: { status: string }) {
+  const className = status === "ok"
+    ? "border-emerald-500/15 bg-emerald-500/[0.06] text-emerald-400"
+    : status === "warning"
+      ? "border-amber-500/15 bg-amber-500/[0.07] text-amber-400"
+      : "border-red-500/15 bg-red-500/[0.07] text-red-400";
+  const label = status === "ok" ? "正常" : status === "warning" ? "警告" : "异常";
+  return <span className={`w-fit rounded-md border px-2 py-0.5 text-[10px] font-medium ${className}`}>{label}</span>;
+}
+
+function sourceLabel(source: string) {
+  const map: Record<string, string> = {
+    eastmoney: "东方财富",
+    tencent: "腾讯行情",
+    tushare: "Tushare",
+    akshare: "AKShare",
+    sina: "新浪行情",
+    news: "新闻管道",
+    tushare_news: "Tushare新闻",
+  };
+  return map[source] || source;
+}
+
+function freshnessLabel(key: string) {
+  const map: Record<string, string> = {
+    market_temperature: "市场温度",
+    sector_heat: "板块热度",
+    recommendations: "推荐结论",
+    news_items: "新闻原文",
+    catalysts: "舆情催化",
+  };
+  return map[key] || key;
+}
+
+function formatDateTime(value: string) {
+  if (!value) return "-";
+  const date = new Date(value);
+  if (Number.isNaN(date.getTime())) return value.slice(0, 16);
+  return date.toLocaleString("zh-CN", { month: "2-digit", day: "2-digit", hour: "2-digit", minute: "2-digit" });
+}

frontend/src/app/(auth)/ops-logs/page.tsx

@@ -0,0 +1,567 @@
+"use client";
+
+import { useCallback, useEffect, useMemo, useState } from "react";
+import { useAuth } from "@/hooks/use-auth";
+import {
+  clearErrorLogsAPI,
+  getErrorLogsAPI,
+  getResearchObservationsAPI,
+  getScanLogsAPI,
+  getScanSessionsAPI,
+  getSystemStatusAPI,
+  type ErrorLog,
+  type ResearchObservation,
+  type ScanProcessLog,
+  type ScanSessionSummary,
+  type SystemStatus,
+} from "@/lib/api";
+
+type OpsTab = "funnel" | "errors";
+
+const STAGE_ORDER = [
+  "market_temperature",
+  "theme_selection",
+  "strategy_profile",
+  "candidate_recall",
+  "realtime_quote",
+  "rule_scoring",
+  "final_filter",
+];
+
+export default function OpsLogsPage() {
+  const { user } = useAuth();
+  const [tab, setTab] = useState<OpsTab>("funnel");
+  const [days, setDays] = useState(7);
+  const [sessions, setSessions] = useState<ScanSessionSummary[]>([]);
+  const [selectedSession, setSelectedSession] = useState("");
+  const [scanLogs, setScanLogs] = useState<ScanProcessLog[]>([]);
+  const [observations, setObservations] = useState<ResearchObservation[]>([]);
+  const [reasonCounts, setReasonCounts] = useState<Record<string, number>>({});
+  const [scanLoading, setScanLoading] = useState(true);
+
+  const [errors, setErrors] = useState<ErrorLog[]>([]);
+  const [errorsTotal, setErrorsTotal] = useState(0);
+  const [sources, setSources] = useState<string[]>([]);
+  const [levels, setLevels] = useState<string[]>([]);
+  const [source, setSource] = useState("");
+  const [level, setLevel] = useState("");
+  const [errorsLoading, setErrorsLoading] = useState(false);
+  const [expandedErrorId, setExpandedErrorId] = useState<number | null>(null);
+  const [systemStatus, setSystemStatus] = useState<SystemStatus | null>(null);
+
+  const latestSession = sessions[0];
+  const activeSession = sessions.find((item) => item.scan_session === selectedSession) || latestSession;
+  const sortedLogs = useMemo(
+    () => [...scanLogs].sort((a, b) => STAGE_ORDER.indexOf(a.stage) - STAGE_ORDER.indexOf(b.stage)),
+    [scanLogs],
+  );
+  const maxCount = Math.max(...sortedLogs.map((item) => Math.max(item.input_count, item.output_count)), 1);
+  const finalLog = sortedLogs.find((item) => item.stage === "final_filter");
+
+  const fetchScanData = useCallback(async (session?: string) => {
+    setScanLoading(true);
+    try {
+      const sessionData = await getScanSessionsAPI(days, 30);
+      setSessions(sessionData.sessions);
+      const nextSession = session || sessionData.sessions[0]?.scan_session || "";
+      setSelectedSession(nextSession);
+      const logData = await getScanLogsAPI(nextSession || undefined, days, 140);
+      setScanLogs(logData.logs);
+      const observationData = await getResearchObservationsAPI(nextSession || undefined, days, 80);
+      setObservations(observationData.observations);
+      setReasonCounts(observationData.reason_counts);
+    } catch {
+      setScanLogs([]);
+      setObservations([]);
+      setReasonCounts({});
+    } finally {
+      setScanLoading(false);
+    }
+  }, [days]);
+
+  const fetchErrors = useCallback(async () => {
+    setErrorsLoading(true);
+    try {
+      const result = await getErrorLogsAPI(80, source, level, days);
+      setErrors(result.errors);
+      setErrorsTotal(result.total);
+      setSources(result.sources);
+      setLevels(result.levels);
+    } catch {
+      setErrors([]);
+    } finally {
+      setErrorsLoading(false);
+    }
+  }, [days, level, source]);
+
+  const fetchSystemStatus = useCallback(async () => {
+    try {
+      setSystemStatus(await getSystemStatusAPI());
+    } catch {
+      setSystemStatus(null);
+    }
+  }, []);
+
+  useEffect(() => {
+    if (user?.role === "admin") {
+      fetchScanData();
+      fetchSystemStatus();
+    }
+  }, [user, days, fetchScanData, fetchSystemStatus]);
+
+  useEffect(() => {
+    if (user?.role === "admin" && tab === "errors") {
+      fetchErrors();
+    }
+  }, [user, tab, fetchErrors]);
+
+  if (user?.role !== "admin") {
+    return (
+      <div className="max-w-4xl mx-auto px-4 md:px-8 pt-6">
+        <p className="text-sm text-text-muted">需要管理员权限</p>
+      </div>
+    );
+  }
+
+  async function handleSelectSession(session: string) {
+    setSelectedSession(session);
+    setScanLoading(true);
+    try {
+      const result = await getScanLogsAPI(session, days, 140);
+      setScanLogs(result.logs);
+      const observationData = await getResearchObservationsAPI(session, days, 80);
+      setObservations(observationData.observations);
+      setReasonCounts(observationData.reason_counts);
+    } finally {
+      setScanLoading(false);
+    }
+  }
+
+  async function handleClearErrors() {
+    const result = await clearErrorLogsAPI(30);
+    await fetchErrors();
+    await fetchSystemStatus();
+    alert(`已清除 ${result.deleted} 条旧日志`);
+  }
+
+  return (
+    <div className="max-w-7xl mx-auto px-4 md:px-8 pt-6 pb-20 md:pb-10 space-y-5">
+      <header className="flex flex-col gap-4 animate-fade-in-up md:flex-row md:items-end md:justify-between">
+        <div>
+          <div className="text-[10px] font-semibold uppercase tracking-[0.22em] text-text-muted">Ops Center</div>
+          <h1 className="mt-2 text-2xl font-bold tracking-tight text-text-primary">运行日志</h1>
+          <p className="mt-2 max-w-2xl text-sm leading-6 text-text-secondary">
+            最新筛选批次、漏斗关口和异常记录集中在这里。
+          </p>
+        </div>
+        <div className="flex items-center gap-2">
+          <select
+            value={days}
+            onChange={(event) => setDays(Number(event.target.value))}
+            className="rounded-xl border border-border-default bg-surface-2 px-3 py-2 text-xs text-text-primary outline-none focus:ring-1 focus:ring-amber-500/30"
+          >
+            <option value={1}>1天</option>
+            <option value={3}>3天</option>
+            <option value={7}>7天</option>
+            <option value={14}>14天</option>
+            <option value={30}>30天</option>
+          </select>
+          <button
+            onClick={() => tab === "funnel" ? fetchScanData(selectedSession) : fetchErrors()}
+            className="rounded-xl border border-border-subtle bg-surface-2 px-3 py-2 text-xs font-medium text-text-secondary transition-all hover:bg-surface-4 hover:text-text-primary"
+          >
+            刷新
+          </button>
+        </div>
+      </header>
+
+      <div className="flex gap-1.5 overflow-x-auto pb-1">
+        {[
+          { key: "funnel", label: "筛选漏斗" },
+          { key: "errors", label: "系统错误" },
+        ].map((item) => (
+          <button
+            key={item.key}
+            onClick={() => setTab(item.key as OpsTab)}
+            className={`rounded-xl border px-4 py-2 text-sm font-medium transition-all ${
+              tab === item.key
+                ? "border-amber-500/15 bg-amber-500/[0.08] text-amber-400"
+                : "border-transparent bg-surface-2 text-text-muted hover:bg-surface-3 hover:text-text-secondary"
+            }`}
+          >
+            {item.label}
+          </button>
+        ))}
+      </div>
+
+      {tab === "funnel" ? (
+        <div className="grid grid-cols-1 gap-5 xl:grid-cols-[280px_1fr]">
+          <aside className="glass-card-static p-4 self-start">
+            <div className="flex items-center justify-between">
+              <h2 className="text-sm font-semibold text-text-primary">扫描批次</h2>
+              <span className="text-[10px] text-text-muted">{sessions.length}轮</span>
+            </div>
+            <div className="mt-4 space-y-2">
+              {sessions.length === 0 ? (
+                <div className="rounded-xl border border-border-subtle bg-surface-1/70 p-5 text-sm text-text-muted">
+                  暂无筛选日志，下一次扫描后会自动出现。
+                </div>
+              ) : sessions.map((item) => (
+                <button
+                  key={item.scan_session}
+                  onClick={() => handleSelectSession(item.scan_session)}
+                  className={`w-full rounded-xl border p-3 text-left transition-all ${
+                    activeSession?.scan_session === item.scan_session
+                      ? "border-amber-500/20 bg-amber-500/[0.06]"
+                      : "border-border-subtle bg-surface-1/70 hover:border-border-default hover:bg-surface-2"
+                  }`}
+                >
+                  <div className="flex items-center justify-between gap-2">
+                    <span className="truncate text-xs font-semibold text-text-primary">{shortSession(item.scan_session)}</span>
+                    <StatusPill status={item.status} />
+                  </div>
+                  <div className="mt-2 text-[10px] text-text-muted">{formatDateTime(item.created_at)}</div>
+                  <div className="mt-3 grid grid-cols-3 gap-2">
+                    <TinyMetric label="关口" value={item.stage_count} />
+                    <TinyMetric label="保留" value={item.final_count} />
+                    <TinyMetric label="过滤" value={item.drop_count} />
+                  </div>
+                </button>
+              ))}
+            </div>
+          </aside>
+
+          <main className="space-y-5">
+            <section className="grid grid-cols-2 gap-3 lg:grid-cols-4">
+              <SummaryCard label="当前批次" value={activeSession ? shortSession(activeSession.scan_session) : "-"} sub={activeSession ? formatDateTime(activeSession.created_at) : "等待扫描"} />
+              <SummaryCard label="最终保留" value={finalLog?.output_count ?? activeSession?.final_count ?? 0} sub={finalLog?.summary || activeSession?.last_summary || "暂无结果"} tone="primary" />
+              <SummaryCard label="最近错误" value={systemStatus?.recent_errors ?? 0} sub="过去24小时" tone={(systemStatus?.recent_errors ?? 0) > 0 ? "danger" : "muted"} />
+              <SummaryCard label="扫描状态" value={systemStatus?.scan_running ? "扫描中" : "空闲"} sub={systemStatus?.scan_locked ? "任务锁占用" : "可接受下一轮任务"} tone={systemStatus?.scan_running ? "warning" : "muted"} />
+            </section>
+
+            <section className="glass-card-static p-4 md:p-5">
+              <div className="flex flex-col gap-2 md:flex-row md:items-center md:justify-between">
+                <div>
+                  <h2 className="text-sm font-semibold text-text-primary">筛选过程可视化</h2>
+                  <p className="mt-1 text-xs text-text-muted">输入、输出、过滤量和关键摘要按筛选顺序归档。</p>
+                </div>
+                <span className="text-[10px] font-mono tabular-nums text-text-muted">{activeSession?.scan_mode || "-"}</span>
+              </div>
+
+              {scanLoading ? (
+                <div className="mt-5 space-y-3">
+                  {[1, 2, 3, 4].map((item) => <div key={item} className="h-20 animate-shimmer rounded-xl bg-surface-2" />)}
+                </div>
+              ) : sortedLogs.length === 0 ? (
+                <div className="mt-5 rounded-2xl border border-border-subtle bg-surface-1/70 p-10 text-center text-sm text-text-muted">
+                  暂无筛选过程日志
+                </div>
+              ) : (
+                <div className="mt-5 space-y-3">
+                  {sortedLogs.map((log, index) => (
+                    <FunnelStage key={log.id} log={log} index={index} maxCount={maxCount} />
+                  ))}
+                </div>
+              )}
+            </section>
+
+            <section className="glass-card-static p-4 md:p-5">
+              <div className="flex flex-col gap-2 md:flex-row md:items-center md:justify-between">
+                <div>
+                  <h2 className="text-sm font-semibold text-text-primary">投研观察</h2>
+                  <p className="mt-1 text-xs text-text-muted">候选股的主题、资金、角色、入场信号和最终淘汰原因。</p>
+                </div>
+                <span className="text-[10px] text-text-muted">{observations.length} 条记录</span>
+              </div>
+              <div className="mt-4 grid grid-cols-1 gap-4 xl:grid-cols-[260px_1fr]">
+                <div className="rounded-2xl border border-border-subtle bg-surface-1/70 p-3">
+                  <div className="text-xs font-semibold text-text-primary">淘汰原因</div>
+                  <div className="mt-3 space-y-2">
+                    {Object.entries(reasonCounts).slice(0, 8).map(([reason, count]) => (
+                      <div key={reason} className="flex items-center justify-between gap-3 rounded-lg bg-surface-2 px-3 py-2">
+                        <span className="truncate text-[11px] text-text-muted">{reason}</span>
+                        <span className="font-mono text-xs tabular-nums text-text-secondary">{count}</span>
+                      </div>
+                    ))}
+                    {Object.keys(reasonCounts).length === 0 ? (
+                      <div className="rounded-lg bg-surface-2 px-3 py-4 text-xs text-text-muted">暂无原因分布</div>
+                    ) : null}
+                  </div>
+                </div>
+                <div className="overflow-hidden rounded-2xl border border-border-subtle bg-surface-1/70">
+                  {observations.length === 0 ? (
+                    <div className="p-8 text-center text-sm text-text-muted">暂无投研观察记录</div>
+                  ) : (
+                    <div className="divide-y divide-border-subtle">
+                      {observations.slice(0, 12).map((item) => (
+                        <ResearchRow key={item.id} item={item} />
+                      ))}
+                    </div>
+                  )}
+                </div>
+              </div>
+            </section>
+          </main>
+        </div>
+      ) : (
+        <section className="space-y-4">
+          <div className="glass-card-static p-4">
+            <div className="flex flex-col gap-3 md:flex-row md:items-center md:justify-between">
+              <div>
+                <h2 className="text-sm font-semibold text-text-primary">系统错误日志</h2>
+                <p className="mt-1 text-xs text-text-muted">这里保留接口、数据源和后台任务的异常，便于追踪不稳定数据源。</p>
+              </div>
+              <div className="flex flex-wrap items-center gap-2">
+                <select value={source} onChange={(event) => setSource(event.target.value)} className="rounded-lg border border-border-default bg-surface-2 px-3 py-1.5 text-xs text-text-primary outline-none">
+                  <option value="">全部来源</option>
+                  {sources.map((item) => <option key={item} value={item}>{item}</option>)}
+                </select>
+                <select value={level} onChange={(event) => setLevel(event.target.value)} className="rounded-lg border border-border-default bg-surface-2 px-3 py-1.5 text-xs text-text-primary outline-none">
+                  <option value="">全部级别</option>
+                  {levels.map((item) => <option key={item} value={item}>{item}</option>)}
+                </select>
+                <button onClick={fetchErrors} className="rounded-lg border border-border-subtle bg-surface-2 px-3 py-1.5 text-xs text-text-secondary hover:bg-surface-4 hover:text-text-primary">
+                  查询
+                </button>
+                <button onClick={handleClearErrors} className="rounded-lg border border-red-500/[0.08] bg-red-500/[0.04] px-3 py-1.5 text-xs text-red-400/70 hover:bg-red-500/[0.08] hover:text-red-400">
+                  清除30天前
+                </button>
+              </div>
+            </div>
+          </div>
+
+          <div className="glass-card-static overflow-hidden">
+            <div className="flex items-center justify-between border-b border-border-subtle px-4 py-3">
+              <span className="text-xs font-semibold text-text-primary">错误记录</span>
+              <span className="text-[10px] text-text-muted">{errorsTotal} 条</span>
+            </div>
+            {errorsLoading ? (
+              <div className="space-y-2 p-4">
+                {[1, 2, 3].map((item) => <div key={item} className="h-16 animate-shimmer rounded-xl bg-surface-2" />)}
+              </div>
+            ) : errors.length === 0 ? (
+              <div className="p-10 text-center text-sm text-text-muted">暂无错误日志</div>
+            ) : (
+              <div className="divide-y divide-border-subtle">
+                {errors.map((item) => (
+                  <div key={item.id} className="px-4 py-3">
+                    <button className="w-full text-left" onClick={() => setExpandedErrorId(expandedErrorId === item.id ? null : item.id)}>
+                      <div className="grid gap-2 md:grid-cols-[88px_120px_1fr_140px] md:items-center">
+                        <StatusPill status={item.level} />
+                        <span className="truncate text-xs text-text-muted">{item.source}</span>
+                        <span className="truncate text-sm text-text-secondary">{item.message}</span>
+                        <span className="text-[10px] font-mono tabular-nums text-text-muted md:text-right">{formatDateTime(item.created_at)}</span>
+                      </div>
+                    </button>
+                    {expandedErrorId === item.id && item.detail ? (
+                      <pre className="mt-3 max-h-80 overflow-auto rounded-xl border border-border-subtle bg-surface-1 p-3 text-xs leading-6 text-text-muted whitespace-pre-wrap">
+                        {item.detail}
+                      </pre>
+                    ) : null}
+                  </div>
+                ))}
+              </div>
+            )}
+          </div>
+        </section>
+      )}
+    </div>
+  );
+}
+
+function FunnelStage({ log, index, maxCount }: { log: ScanProcessLog; index: number; maxCount: number }) {
+  const outputWidth = Math.max(4, Math.round((log.output_count / maxCount) * 100));
+  const dropWidth = Math.max(0, Math.round((log.filtered_count / maxCount) * 100));
+  const detailItems = extractDetailItems(log);
+
+  return (
+    <article className="rounded-2xl border border-border-subtle bg-surface-1/70 p-4">
+      <div className="grid gap-4 lg:grid-cols-[42px_1fr_260px] lg:items-center">
+        <div className="flex h-10 w-10 items-center justify-center rounded-xl border border-border-subtle bg-surface-2 font-mono text-xs tabular-nums text-text-secondary">
+          {index + 1}
+        </div>
+        <div className="min-w-0">
+          <div className="flex flex-wrap items-center gap-2">
+            <h3 className="text-sm font-semibold text-text-primary">{log.stage_label}</h3>
+            <StatusPill status={log.status} />
+            <span className="text-[10px] font-mono tabular-nums text-text-muted">{formatDateTime(log.created_at)}</span>
+          </div>
+          <p className="mt-2 text-xs leading-5 text-text-secondary">{log.summary || "暂无摘要"}</p>
+          <div className="mt-3 h-2 overflow-hidden rounded-full bg-surface-2">
+            <div className="flex h-full">
+              <div className="h-full bg-amber-400/70" style={{ width: `${outputWidth}%` }} />
+              <div className="h-full bg-red-400/40" style={{ width: `${dropWidth}%` }} />
+            </div>
+          </div>
+        </div>
+        <div className="grid grid-cols-3 gap-2">
+          <TinyMetric label="输入" value={log.input_count} />
+          <TinyMetric label="输出" value={log.output_count} />
+          <TinyMetric label="过滤" value={log.filtered_count} />
+        </div>
+      </div>
+      {detailItems.length > 0 ? (
+        <div className="mt-3 flex flex-wrap gap-2">
+          {detailItems.map((item) => (
+            <span key={item} className="rounded-lg border border-border-subtle bg-surface-2 px-2 py-1 text-[10px] text-text-muted">
+              {item}
+            </span>
+          ))}
+        </div>
+      ) : null}
+    </article>
+  );
+}
+
+function extractDetailItems(log: ScanProcessLog) {
+  const detail = log.detail || {};
+  if (log.stage === "candidate_recall") {
+    const routes = detail.route_counts as Record<string, number> | undefined;
+    return routes ? Object.entries(routes).map(([key, value]) => `${routeLabel(key)} ${value}`) : [];
+  }
+  if (log.stage === "rule_scoring") {
+    const skipped = detail.skipped_counts as Record<string, number> | undefined;
+    const signals = detail.signal_counts as Record<string, number> | undefined;
+    return [
+      ...(skipped ? Object.entries(skipped).filter(([, value]) => value > 0).map(([key, value]) => `${skipLabel(key)} ${value}`) : []),
+      ...(signals ? Object.entries(signals).filter(([, value]) => value > 0).map(([key, value]) => `${signalLabel(key)} ${value}`) : []),
+    ].slice(0, 10);
+  }
+  if (log.stage === "final_filter") {
+    const actions = detail.action_counts as Record<string, number> | undefined;
+    const reasons = detail.elimination_reasons as Record<string, number> | undefined;
+    return [
+      ...(actions ? Object.entries(actions).map(([key, value]) => `${key} ${value}`) : []),
+      ...(reasons ? Object.entries(reasons).slice(0, 6).map(([key, value]) => `${key} ${value}`) : []),
+    ];
+  }
+  if (log.stage === "theme_selection") {
+    const themes = detail.themes as Array<{ name?: string; heat_score?: number }> | undefined;
+    return themes?.slice(0, 5).map((item) => `${item.name || "主题"} ${Math.round(Number(item.heat_score || 0))}`) || [];
+  }
+  return [];
+}
+
+function ResearchRow({ item }: { item: ResearchObservation }) {
+  return (
+    <article className="grid gap-3 px-4 py-3 lg:grid-cols-[160px_90px_1fr_300px] lg:items-center">
+      <div className="min-w-0">
+        <div className="truncate text-sm font-semibold text-text-primary">{item.name}</div>
+        <div className="mt-1 font-mono text-[10px] text-text-muted">{item.ts_code}</div>
+      </div>
+      <div className="font-mono text-lg font-bold tabular-nums text-amber-400">{item.final_score.toFixed(1)}</div>
+      <div className="min-w-0">
+        <div className="flex flex-wrap gap-1.5">
+          <span className="rounded-md border border-border-subtle bg-surface-2 px-2 py-0.5 text-[10px] text-text-muted">{item.theme_name || "未归类"}</span>
+          <span className="rounded-md border border-border-subtle bg-surface-2 px-2 py-0.5 text-[10px] text-text-muted">{item.stock_role || "候选"}</span>
+          <span className="rounded-md border border-border-subtle bg-surface-2 px-2 py-0.5 text-[10px] text-text-muted">{signalLabel(item.entry_signal_type)}</span>
+        </div>
+        <div className="mt-2 text-xs leading-5 text-text-muted line-clamp-2">{item.elimination_reason || "待确认"}</div>
+      </div>
+      <div className="grid grid-cols-5 gap-1.5">
+        <ScorePill label="催化" value={item.catalyst_score} />
+        <ScorePill label="题材" value={item.theme_money_score} />
+        <ScorePill label="资金" value={item.stock_money_score} />
+        <ScorePill label="角色" value={item.emotion_role_score} />
+        <ScorePill label="时机" value={item.timing_score} />
+      </div>
+    </article>
+  );
+}
+
+function ScorePill({ label, value }: { label: string; value: number }) {
+  return (
+    <div className="rounded-lg bg-surface-2 px-2 py-1.5 text-center">
+      <div className="text-[9px] text-text-muted/60">{label}</div>
+      <div className="mt-0.5 font-mono text-[11px] font-semibold tabular-nums text-text-secondary">{Math.round(value)}</div>
+    </div>
+  );
+}
+
+function SummaryCard({ label, value, sub, tone = "muted" }: { label: string; value: string | number; sub: string; tone?: "primary" | "warning" | "danger" | "muted" }) {
+  const valueClass = tone === "primary" ? "text-amber-400" : tone === "warning" ? "text-amber-300" : tone === "danger" ? "text-red-400" : "text-text-primary";
+  return (
+    <div className="glass-card-static p-4">
+      <div className="text-[10px] text-text-muted">{label}</div>
+      <div className={`mt-2 truncate text-xl font-bold tabular-nums ${valueClass}`}>{value}</div>
+      <div className="mt-1 line-clamp-1 text-[11px] text-text-muted">{sub}</div>
+    </div>
+  );
+}
+
+function TinyMetric({ label, value }: { label: string; value: string | number }) {
+  return (
+    <div className="rounded-lg bg-surface-2 px-2 py-1.5">
+      <div className="text-[9px] text-text-muted/60">{label}</div>
+      <div className="mt-0.5 truncate font-mono text-[11px] font-semibold tabular-nums text-text-secondary">{value}</div>
+    </div>
+  );
+}
+
+function StatusPill({ status }: { status: string }) {
+  const normalized = status.toLowerCase();
+  const className = normalized === "ok"
+    ? "border-emerald-500/15 bg-emerald-500/[0.06] text-emerald-400"
+    : normalized === "warning" || normalized === "empty"
+      ? "border-amber-500/15 bg-amber-500/[0.07] text-amber-400"
+      : "border-red-500/15 bg-red-500/[0.07] text-red-400";
+  return (
+    <span className={`inline-flex w-fit items-center rounded-md border px-2 py-0.5 text-[10px] font-medium ${className}`}>
+      {statusLabel(status)}
+    </span>
+  );
+}
+
+function statusLabel(status: string) {
+  const normalized = status.toLowerCase();
+  if (normalized === "ok") return "正常";
+  if (normalized === "warning") return "警告";
+  if (normalized === "empty") return "空结果";
+  if (normalized === "error") return "错误";
+  if (normalized === "critical") return "严重";
+  return status || "未知";
+}
+
+function routeLabel(key: string) {
+  const map: Record<string, string> = {
+    sector_recall: "主线召回",
+    trend_scan: "趋势召回",
+    intraday_active: "盘中异动",
+    realtime_market: "全市场异动",
+  };
+  return map[key] || key;
+}
+
+function skipLabel(key: string) {
+  const map: Record<string, string> = {
+    missing_code: "缺代码",
+    kline_empty: "K线不足",
+    stale_kline: "K线过期",
+    exception: "评分异常",
+  };
+  return map[key] || key;
+}
+
+function signalLabel(key: string) {
+  const map: Record<string, string> = {
+    breakout: "突破",
+    breakout_confirm: "确认",
+    pullback: "回踩",
+    launch: "启动",
+    reversal: "反转",
+    none: "无信号",
+  };
+  return map[key] || key;
+}
+
+function shortSession(session: string) {
+  if (!session) return "-";
+  return session.length > 20 ? `${session.slice(0, 10)}...${session.slice(-6)}` : session;
+}
+
+function formatDateTime(value: string) {
+  if (!value) return "-";
+  const date = new Date(value);
+  if (Number.isNaN(date.getTime())) return value.slice(0, 16);
+  return date.toLocaleString("zh-CN", { month: "2-digit", day: "2-digit", hour: "2-digit", minute: "2-digit" });
+}

frontend/src/app/(auth)/settings/page.tsx

@@ -2,6 +2,7 @@
 
 import { useState, useEffect, useCallback } from "react";
 import { useAuth } from "@/hooks/use-auth";
+import Link from "next/link";
 import {
   listUsersAPI,
   disableUserAPI,
@@ -11,17 +12,12 @@ import {
   toggleInviteCodeAPI,
   getDataStatsAPI,
   dataResetAPI,
-  getErrorLogsAPI,
-  clearErrorLogsAPI,
-  getSystemStatusAPI,
   type UserItem,
   type InviteCodeItem,
   type DataStats,
-  type ErrorLog,
-  type SystemStatus,
 } from "@/lib/api";
 
-type Tab = "users" | "data" | "logs";
+type Tab = "users" | "data" | "ops";
 
 export default function UsersPage() {
   const { user: currentUser } = useAuth();
@@ -51,17 +47,6 @@ export default function UsersPage() {
   const [resetResultMsg, setResetResultMsg] = useState<string | null>(null);
   const [confirmReset, setConfirmReset] = useState(false);
 
-  const [logs, setLogs] = useState<ErrorLog[]>([]);
-  const [logsTotal, setLogsTotal] = useState(0);
-  const [logSources, setLogSources] = useState<string[]>([]);
-  const [logLevels, setLogLevels] = useState<string[]>([]);
-  const [logFilterSource, setLogFilterSource] = useState<string>("");
-  const [logFilterLevel, setLogFilterLevel] = useState<string>("");
-  const [logDays, setLogDays] = useState(7);
-  const [logsLoading, setLogsLoading] = useState(false);
-  const [expandedLogId, setExpandedLogId] = useState<number | null>(null);
-  const [systemStatus, setSystemStatus] = useState<SystemStatus | null>(null);
-
   function copyCredential(account: string, password: string) {
     const text = `邮箱：${account}\n密码：${password}`;
     navigator.clipboard.writeText(text).then(() => {
@@ -101,44 +86,13 @@ export default function UsersPage() {
     }
   }, []);
 
-  const fetchLogs = useCallback(async () => {
-    setLogsLoading(true);
-    try {
-      const result = await getErrorLogsAPI(50, logFilterSource, logFilterLevel, logDays);
-      setLogs(result.errors);
-      setLogsTotal(result.total);
-      setLogSources(result.sources);
-      setLogLevels(result.levels);
-    } catch {
-      // ignore
-    } finally {
-      setLogsLoading(false);
-    }
-  }, [logFilterSource, logFilterLevel, logDays]);
-
-  const fetchSystemStatus = useCallback(async () => {
-    try {
-      const status = await getSystemStatusAPI();
-      setSystemStatus(status);
-    } catch {
-      // ignore
-    }
-  }, []);
-
   useEffect(() => {
     if (currentUser?.role === "admin") {
       fetchUsers();
       fetchInviteCodes();
       fetchStats();
-      fetchSystemStatus();
     }
-  }, [currentUser, fetchUsers, fetchInviteCodes, fetchStats, fetchSystemStatus]);
+  }, [currentUser, fetchUsers, fetchInviteCodes, fetchStats]);
-
-  useEffect(() => {
-    if (currentUser?.role === "admin" && tab === "logs") {
-      fetchLogs();
-    }
-  }, [currentUser, tab, fetchLogs]);
 
   if (currentUser?.role !== "admin") {
     return (
@@ -231,21 +185,10 @@ export default function UsersPage() {
     }
   }
 
-  async function handleClearLogs() {
-    try {
-      const result = await clearErrorLogsAPI(30);
-      fetchLogs();
-      fetchSystemStatus();
-      alert(`已清除 ${result.deleted} 条旧日志`);
-    } catch (err) {
-      alert(err instanceof Error ? err.message : "清除失败");
-    }
-  }
-
   const tabs: { key: Tab; label: string }[] = [
     { key: "users", label: "用户与邀请码" },
     { key: "data", label: "数据管理" },
-    { key: "logs", label: "系统日志" },
+    { key: "ops", label: "运维入口" },
   ];
 
   return (
@@ -586,93 +529,19 @@ export default function UsersPage() {
         </div>
       )}
 
-      {tab === "logs" && (
+      {tab === "ops" && (
-        <div className="space-y-4 animate-fade-in-up">
+        <div className="grid grid-cols-1 gap-3 md:grid-cols-3 animate-fade-in-up">
-          {systemStatus && (
+          {[
-            <div className="glass-card-static p-4 rounded-xl">
+            { href: "/ops-logs", title: "运行日志", desc: "筛选漏斗、系统错误和扫描批次" },
-              <h2 className="text-xs font-semibold text-text-muted uppercase tracking-wider mb-3">系统状态</h2>
+            { href: "/data-health", title: "数据源健康", desc: "东方财富、腾讯、Tushare、AKShare 状态" },
-              <div className="grid grid-cols-2 sm:grid-cols-4 gap-2">
+            { href: "/tasks", title: "任务中心", desc: "新闻、扫描、复盘、策略校准任务" },
-                <div className="bg-surface-1 rounded-lg px-3 py-2">
+          ].map((item) => (
-                  <div className="text-[10px] text-text-muted/50">交易状态</div>
+            <Link key={item.href} href={item.href} className="glass-card p-4 rounded-xl">
-                  <div className={`text-sm font-medium ${systemStatus.is_trading ? "text-emerald-400" : "text-text-muted"}`}>
+              <div className="text-sm font-semibold text-text-primary">{item.title}</div>
-                    {systemStatus.is_trading ? "交易中" : "已收盘"}
+              <div className="mt-2 text-xs leading-5 text-text-muted">{item.desc}</div>
-                  </div>
+              <div className="mt-4 text-xs text-amber-400">打开</div>
-                </div>
+            </Link>
-                <div className="bg-surface-1 rounded-lg px-3 py-2">
+          ))}
-                  <div className="text-[10px] text-text-muted/50">扫描状态</div>
-                  <div className={`text-sm font-medium ${systemStatus.scan_running ? "text-amber-400" : "text-text-secondary"}`}>
-                    {systemStatus.scan_running ? "扫描中" : systemStatus.scan_locked ? "锁定中" : "空闲"}
-                  </div>
-                </div>
-                <div className="bg-surface-1 rounded-lg px-3 py-2">
-                  <div className="text-[10px] text-text-muted/50">24h 错误</div>
-                  <div className={`text-sm font-bold font-mono tabular-nums ${systemStatus.recent_errors > 0 ? "text-red-400" : "text-text-secondary"}`}>{systemStatus.recent_errors}</div>
-                </div>
-                <div className="bg-surface-1 rounded-lg px-3 py-2">
-                  <div className="text-[10px] text-text-muted/50">数据库大小</div>
-                  <div className="text-sm font-mono tabular-nums text-text-secondary">{systemStatus.db_size_mb} MB</div>
-                </div>
-              </div>
-            </div>
-          )}
-
-          <div className="flex items-center gap-2 flex-wrap">
-            <select value={logFilterSource} onChange={(e) => setLogFilterSource(e.target.value)} className="bg-surface-2 border border-border-default rounded-lg px-3 py-1.5 text-xs text-text-primary focus:outline-none focus:ring-1 focus:ring-amber-500/30 appearance-none">
-              <option value="">全部来源</option>
-              {logSources.map((s) => <option key={s} value={s}>{s}</option>)}
-            </select>
-            <select value={logFilterLevel} onChange={(e) => setLogFilterLevel(e.target.value)} className="bg-surface-2 border border-border-default rounded-lg px-3 py-1.5 text-xs text-text-primary focus:outline-none focus:ring-1 focus:ring-amber-500/30 appearance-none">
-              <option value="">全部级别</option>
-              {logLevels.map((l) => <option key={l} value={l}>{l}</option>)}
-            </select>
-            <select value={logDays} onChange={(e) => setLogDays(Number(e.target.value))} className="bg-surface-2 border border-border-default rounded-lg px-3 py-1.5 text-xs text-text-primary focus:outline-none focus:ring-1 focus:ring-amber-500/30 appearance-none">
-              <option value={1}>1天</option>
-              <option value={3}>3天</option>
-              <option value={7}>7天</option>
-              <option value={14}>14天</option>
-              <option value={30}>30天</option>
-            </select>
-            <button onClick={() => fetchLogs()} className="px-3 py-1.5 rounded-lg text-xs font-medium bg-surface-2 text-text-secondary hover:text-text-primary hover:bg-surface-4 border border-border-subtle transition-all">
-              刷新
-            </button>
-            <button onClick={handleClearLogs} className="px-3 py-1.5 rounded-lg text-xs font-medium bg-red-500/[0.03] text-red-400/60 hover:text-red-400 hover:bg-red-500/[0.08] border border-red-500/[0.06] transition-all">
-              清除30天前
-            </button>
-            <span className="text-xs text-text-muted ml-auto">{logsTotal} 条记录</span>
-          </div>
-
-          {logsLoading ? (
-            <div className="space-y-2">
-              {[1, 2, 3].map((i) => <div key={i} className="glass-card-static p-4 animate-shimmer rounded-xl h-20" />)}
-            </div>
-          ) : logs.length === 0 ? (
-            <div className="glass-card-static p-8 rounded-xl text-center">
-              <p className="text-sm text-text-muted">暂无错误日志</p>
-              <p className="text-xs text-text-muted/50 mt-1">系统运行正常</p>
-            </div>
-          ) : (
-            <div className="space-y-2">
-              {logs.map((log) => (
-                <div key={log.id} className="glass-card-static p-3 rounded-xl">
-                  <button onClick={() => setExpandedLogId(expandedLogId === log.id ? null : log.id)} className="w-full text-left">
-                    <div className="flex items-center gap-2">
-                      <span className={`text-[10px] px-1.5 py-0.5 rounded font-medium ${
-                        log.level === "error" ? "bg-red-500/15 text-red-400" : "bg-amber-500/15 text-amber-400"
-                      }`}>{log.level}</span>
-                      <span className="text-[10px] px-1.5 py-0.5 rounded bg-surface-3 text-text-muted">{log.source}</span>
-                      <span className="text-xs text-text-secondary flex-1 truncate">{log.message}</span>
-                      <span className="text-[10px] text-text-muted/50 font-mono tabular-nums shrink-0">{log.created_at.slice(0, 16)}</span>
-                    </div>
-                  </button>
-                  {expandedLogId === log.id && log.detail && (
-                    <div className="mt-2 p-3 rounded-lg bg-surface-1 border border-border-subtle">
-                      <pre className="text-xs text-text-muted whitespace-pre-wrap break-all font-mono leading-relaxed">{log.detail}</pre>
-                    </div>
-                  )}
-                </div>
-              ))}
-            </div>
-          )}
         </div>
       )}
     </div>

frontend/src/app/(auth)/tasks/page.tsx

@@ -0,0 +1,211 @@
+"use client";
+
+import { useCallback, useEffect, useMemo, useState } from "react";
+import { useAuth } from "@/hooks/use-auth";
+import { getTaskCenterAPI, type TaskCenterResult } from "@/lib/api";
+
+export default function TasksPage() {
+  const { user } = useAuth();
+  const [data, setData] = useState<TaskCenterResult | null>(null);
+  const [loading, setLoading] = useState(true);
+
+  const loadData = useCallback(async () => {
+    setLoading(true);
+    try {
+      setData(await getTaskCenterAPI());
+    } finally {
+      setLoading(false);
+    }
+  }, []);
+
+  useEffect(() => {
+    if (user?.role === "admin") loadData();
+  }, [user, loadData]);
+
+  const jobGroups = useMemo(() => {
+    const jobs = data?.jobs || [];
+    return {
+      news: jobs.filter((job) => job.id.startsWith("news")),
+      scan: jobs.filter((job) => job.id.includes("market") || job.id.includes("morning") || job.id.includes("afternoon") || job.id.includes("late") || job.id.includes("pre_") || job.id.includes("post_") || job.id.includes("close")),
+      review: jobs.filter((job) => job.id.includes("watchlist") || job.id.includes("strategy")),
+    };
+  }, [data]);
+
+  if (user?.role !== "admin") {
+    return (
+      <div className="max-w-4xl mx-auto px-4 md:px-8 pt-6">
+        <p className="text-sm text-text-muted">需要管理员权限</p>
+      </div>
+    );
+  }
+
+  return (
+    <div className="max-w-7xl mx-auto px-4 md:px-8 pt-6 pb-20 md:pb-10 space-y-5">
+      <header className="flex flex-col gap-4 md:flex-row md:items-end md:justify-between">
+        <div>
+          <div className="text-[10px] font-semibold uppercase tracking-[0.22em] text-text-muted">Task Center</div>
+          <h1 className="mt-2 text-2xl font-bold tracking-tight text-text-primary">任务中心</h1>
+          <p className="mt-2 max-w-2xl text-sm leading-6 text-text-secondary">
+            后台新闻采集、选股扫描、跟踪复盘和策略校准任务的运行视图。
+          </p>
+        </div>
+        <button onClick={loadData} className="w-fit rounded-xl border border-border-subtle bg-surface-2 px-3 py-2 text-xs font-medium text-text-secondary transition-all hover:bg-surface-4 hover:text-text-primary">
+          刷新
+        </button>
+      </header>
+
+      <section className="grid grid-cols-2 gap-3 lg:grid-cols-4">
+        <MetricCard label="调度器" value={data?.scheduler_running ? "运行中" : "停止"} tone={data?.scheduler_running ? "ok" : "error"} />
+        <MetricCard label="扫描状态" value={data?.scan_running ? "扫描中" : "空闲"} tone={data?.scan_running ? "warning" : "default"} />
+        <MetricCard label="任务数量" value={data?.job_count ?? 0} />
+        <MetricCard label="最近错误" value={data?.recent_errors.length ?? 0} tone={(data?.recent_errors.length ?? 0) > 0 ? "error" : "default"} />
+      </section>
+
+      <section className="grid grid-cols-1 gap-5 xl:grid-cols-[1fr_380px]">
+        <main className="space-y-5">
+          <JobGroup title="新闻与舆情" jobs={jobGroups.news} loading={loading} />
+          <JobGroup title="选股扫描" jobs={jobGroups.scan} loading={loading} />
+          <JobGroup title="跟踪复盘" jobs={jobGroups.review} loading={loading} />
+        </main>
+
+        <aside className="space-y-5">
+          <section className="glass-card-static overflow-hidden">
+            <div className="border-b border-border-subtle px-4 py-3">
+              <h2 className="text-sm font-semibold text-text-primary">最近筛选事件</h2>
+            </div>
+            <div className="divide-y divide-border-subtle">
+              {(data?.recent_scan_logs || []).slice(0, 8).map((item, index) => (
+                <div key={`${item.scan_session}-${item.stage}-${index}`} className="px-4 py-3">
+                  <div className="flex items-center justify-between gap-3">
+                    <span className="truncate text-xs font-semibold text-text-primary">{stageLabel(item.stage)}</span>
+                    <StatusPill status={item.status} />
+                  </div>
+                  <div className="mt-2 text-xs leading-5 text-text-muted line-clamp-2">{item.summary || item.scan_session}</div>
+                  <div className="mt-2 font-mono text-[10px] tabular-nums text-text-muted">{formatDateTime(item.created_at)}</div>
+                </div>
+              ))}
+              {!data?.recent_scan_logs.length && <div className="p-5 text-sm text-text-muted">暂无扫描事件</div>}
+            </div>
+          </section>
+
+          <section className="glass-card-static overflow-hidden">
+            <div className="border-b border-border-subtle px-4 py-3">
+              <h2 className="text-sm font-semibold text-text-primary">最近错误</h2>
+            </div>
+            <div className="divide-y divide-border-subtle">
+              {(data?.recent_errors || []).slice(0, 6).map((item, index) => (
+                <div key={`${item.source}-${index}`} className="px-4 py-3">
+                  <div className="flex items-center gap-2">
+                    <StatusPill status={item.level} />
+                    <span className="truncate text-xs text-text-muted">{item.source}</span>
+                  </div>
+                  <div className="mt-2 text-xs leading-5 text-text-secondary line-clamp-2">{item.message}</div>
+                  <div className="mt-2 font-mono text-[10px] tabular-nums text-text-muted">{formatDateTime(item.created_at)}</div>
+                </div>
+              ))}
+              {!data?.recent_errors.length && <div className="p-5 text-sm text-text-muted">暂无错误</div>}
+            </div>
+          </section>
+        </aside>
+      </section>
+    </div>
+  );
+}
+
+function JobGroup({ title, jobs, loading }: { title: string; jobs: TaskCenterResult["jobs"]; loading: boolean }) {
+  return (
+    <section className="glass-card-static overflow-hidden">
+      <div className="flex items-center justify-between border-b border-border-subtle px-4 py-3">
+        <h2 className="text-sm font-semibold text-text-primary">{title}</h2>
+        <span className="text-[10px] text-text-muted">{jobs.length}项</span>
+      </div>
+      {loading ? (
+        <div className="space-y-3 p-4">
+          {[1, 2, 3].map((item) => <div key={item} className="h-16 animate-shimmer rounded-xl bg-surface-2" />)}
+        </div>
+      ) : jobs.length === 0 ? (
+        <div className="p-6 text-sm text-text-muted">暂无任务</div>
+      ) : (
+        <div className="divide-y divide-border-subtle">
+          {jobs.map((job) => (
+            <article key={job.id} className="grid gap-3 px-4 py-4 md:grid-cols-[190px_1fr_180px] md:items-center">
+              <div>
+                <div className="text-sm font-semibold text-text-primary">{jobLabel(job.id)}</div>
+                <div className="mt-1 font-mono text-[10px] text-text-muted">{job.id}</div>
+              </div>
+              <div className="text-xs leading-5 text-text-muted line-clamp-2">{cleanTrigger(job.trigger)}</div>
+              <div className="font-mono text-[10px] tabular-nums text-text-secondary md:text-right">
+                {formatDateTime(job.next_run_time)}
+              </div>
+            </article>
+          ))}
+        </div>
+      )}
+    </section>
+  );
+}
+
+function MetricCard({ label, value, tone = "default" }: { label: string; value: string | number; tone?: "default" | "ok" | "warning" | "error" }) {
+  const color = tone === "ok" ? "text-emerald-400" : tone === "warning" ? "text-amber-400" : tone === "error" ? "text-red-400" : "text-text-primary";
+  return (
+    <div className="glass-card-static p-4">
+      <div className="text-[10px] text-text-muted">{label}</div>
+      <div className={`mt-2 truncate text-xl font-bold tabular-nums ${color}`}>{value}</div>
+    </div>
+  );
+}
+
+function StatusPill({ status }: { status: string }) {
+  const normalized = status.toLowerCase();
+  const className = normalized === "ok"
+    ? "border-emerald-500/15 bg-emerald-500/[0.06] text-emerald-400"
+    : normalized === "warning" || normalized === "empty"
+      ? "border-amber-500/15 bg-amber-500/[0.07] text-amber-400"
+      : "border-red-500/15 bg-red-500/[0.07] text-red-400";
+  const label = normalized === "ok" ? "正常" : normalized === "empty" ? "空结果" : normalized === "warning" ? "警告" : "异常";
+  return <span className={`w-fit rounded-md border px-2 py-0.5 text-[10px] font-medium ${className}`}>{label}</span>;
+}
+
+function jobLabel(id: string) {
+  const map: Record<string, string> = {
+    news_pre_market: "盘前新闻",
+    news_morning: "早盘新闻",
+    news_noon: "午间新闻",
+    news_afternoon: "午后新闻",
+    news_post_market: "盘后新闻",
+    pre_market: "盘前扫描",
+    post_market: "盘后扫描",
+    watchlist_analysis: "自选股分析",
+    strategy_iteration: "策略复盘",
+  };
+  if (map[id]) return map[id];
+  if (id.includes("morning")) return "早盘扫描";
+  if (id.includes("afternoon")) return "午后扫描";
+  if (id.includes("late")) return "尾盘扫描";
+  if (id.includes("close")) return "收盘扫描";
+  return id;
+}
+
+function stageLabel(stage: string) {
+  const map: Record<string, string> = {
+    market_temperature: "市场温度",
+    theme_selection: "主线主题",
+    strategy_profile: "策略参数",
+    candidate_recall: "候选召回",
+    realtime_quote: "实时行情",
+    rule_scoring: "规则评分",
+    final_filter: "最终作战池",
+  };
+  return map[stage] || stage;
+}
+
+function cleanTrigger(trigger: string) {
+  return trigger.replace("cron[", "").replace("]", "");
+}
+
+function formatDateTime(value: string) {
+  if (!value) return "-";
+  const date = new Date(value);
+  if (Number.isNaN(date.getTime())) return value.slice(0, 16);
+  return date.toLocaleString("zh-CN", { month: "2-digit", day: "2-digit", hour: "2-digit", minute: "2-digit" });
+}

frontend/src/components/nav.tsx

@@ -101,6 +101,39 @@ function SettingsIcon() {
   );
 }
 
+function LogsIcon() {
+  return (
+    <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round">
+      <path d="M4 5h16" />
+      <path d="M4 12h10" />
+      <path d="M4 19h7" />
+      <path d="M17 15l2 2 3-4" />
+    </svg>
+  );
+}
+
+function HealthIcon() {
+  return (
+    <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round">
+      <path d="M20 13c0 5-3.5 8-8 8s-8-3-8-8V5l8-3 8 3v8z" />
+      <path d="M9 12l2 2 4-5" />
+    </svg>
+  );
+}
+
+function TasksIcon() {
+  return (
+    <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round">
+      <path d="M9 6h11" />
+      <path d="M9 12h11" />
+      <path d="M9 18h11" />
+      <path d="M4 6h.01" />
+      <path d="M4 12h.01" />
+      <path d="M4 18h.01" />
+    </svg>
+  );
+}
+
 function SideNavItem({ href, icon, label }: { href: string; icon: React.ReactNode; label: string }) {
   const pathname = usePathname();
   const isActive = pathname === href || (href !== "/dashboard" && pathname.startsWith(href));
@@ -131,10 +164,12 @@ export function SidebarNav() {
       <SideNavItem href="/sentiment" icon={<RadarIcon />} label="舆情雷达" />
       <SideNavItem href="/watchlists" icon={<WatchlistIcon />} label="自选股" />
       <SideNavItem href="/chat" icon={<ChatIcon />} label="研究助手" />
-      <SideNavItem href="/diagnose" icon={<DiagnoseIcon />} label="个股诊断" />
       {user?.role === "admin" && (
         <>
           <SideNavItem href="/strategy" icon={<StrategyIcon />} label="策略校准" />
+          <SideNavItem href="/ops-logs" icon={<LogsIcon />} label="运行日志" />
+          <SideNavItem href="/data-health" icon={<HealthIcon />} label="数据源健康" />
+          <SideNavItem href="/tasks" icon={<TasksIcon />} label="任务中心" />
           <SideNavItem href="/settings" icon={<SettingsIcon />} label="管理设置" />
         </>
       )}

frontend/src/lib/api.ts

@@ -896,6 +896,111 @@ export interface SystemStatus {
   db_size_mb: number;
 }
 
+export interface ScanProcessLog {
+  id: number;
+  scan_session: string;
+  scan_mode: string;
+  stage: string;
+  stage_label: string;
+  status: string;
+  input_count: number;
+  output_count: number;
+  filtered_count: number;
+  summary: string;
+  detail: Record<string, unknown>;
+  created_at: string;
+}
+
+export interface ScanLogsResult {
+  scan_session: string | null;
+  logs: ScanProcessLog[];
+}
+
+export interface ScanSessionSummary {
+  scan_session: string;
+  scan_mode: string;
+  created_at: string;
+  stage_count: number;
+  status: string;
+  input_count: number;
+  final_count: number;
+  drop_count: number;
+  last_summary: string;
+}
+
+export interface ScanSessionsResult {
+  sessions: ScanSessionSummary[];
+}
+
+export interface ResearchObservation {
+  id: number;
+  scan_session: string;
+  scan_mode: string;
+  ts_code: string;
+  name: string;
+  theme_name: string;
+  stock_role: string;
+  action_plan: string;
+  final_score: number;
+  catalyst_score: number;
+  theme_money_score: number;
+  stock_money_score: number;
+  emotion_role_score: number;
+  timing_score: number;
+  entry_signal_type: string;
+  elimination_reason: string;
+  detail: Record<string, unknown>;
+  created_at: string;
+}
+
+export interface ResearchObservationsResult {
+  scan_session: string | null;
+  observations: ResearchObservation[];
+  reason_counts: Record<string, number>;
+}
+
+export interface DataSourceHealthItem {
+  source: string;
+  status: string;
+  error_count: number;
+  warning_count: number;
+  last_error: string;
+  last_seen_at: string;
+}
+
+export interface DataSourceHealthResult {
+  days: number;
+  sources: DataSourceHealthItem[];
+  freshness: Record<string, Record<string, string>>;
+  generated_at: string;
+}
+
+export interface TaskCenterJob {
+  id: string;
+  name: string;
+  next_run_time: string;
+  trigger: string;
+}
+
+export interface TaskCenterResult {
+  scheduler_running: boolean;
+  scan_running: boolean;
+  scan_locked: boolean;
+  job_count: number;
+  jobs: TaskCenterJob[];
+  recent_scan_logs: Array<{
+    scan_session: string;
+    scan_mode: string;
+    stage: string;
+    status: string;
+    output_count: number;
+    summary: string;
+    created_at: string;
+  }>;
+  recent_errors: Array<{ source: string; level: string; message: string; created_at: string }>;
+  generated_at: string;
+}
+
 export async function getErrorLogsAPI(limit: number = 50, source?: string, level?: string, days: number = 7): Promise<ErrorLogsResult> {
   const params = new URLSearchParams({ limit: String(limit), days: String(days) });
   if (source) params.set("source", source);
@@ -910,3 +1015,28 @@ export async function clearErrorLogsAPI(days: number = 30): Promise<{ status: st
 export async function getSystemStatusAPI(): Promise<SystemStatus> {
   return fetchAPI<SystemStatus>("/api/debug/system");
 }
+
+export async function getScanSessionsAPI(days: number = 7, limit: number = 30): Promise<ScanSessionsResult> {
+  const params = new URLSearchParams({ days: String(days), limit: String(limit) });
+  return fetchAPI<ScanSessionsResult>(`/api/debug/scan-sessions?${params}`);
+}
+
+export async function getScanLogsAPI(scanSession?: string, days: number = 7, limit: number = 120): Promise<ScanLogsResult> {
+  const params = new URLSearchParams({ days: String(days), limit: String(limit) });
+  if (scanSession) params.set("scan_session", scanSession);
+  return fetchAPI<ScanLogsResult>(`/api/debug/scan-logs?${params}`);
+}
+
+export async function getResearchObservationsAPI(scanSession?: string, days: number = 7, limit: number = 80): Promise<ResearchObservationsResult> {
+  const params = new URLSearchParams({ days: String(days), limit: String(limit) });
+  if (scanSession) params.set("scan_session", scanSession);
+  return fetchAPI<ResearchObservationsResult>(`/api/debug/research-observations?${params}`);
+}
+
+export async function getDataSourceHealthAPI(days: number = 7): Promise<DataSourceHealthResult> {
+  return fetchAPI<DataSourceHealthResult>(`/api/debug/data-source-health?days=${days}`);
+}
+
+export async function getTaskCenterAPI(): Promise<TaskCenterResult> {
+  return fetchAPI<TaskCenterResult>("/api/debug/tasks");
+}