1

backend/.env

@@ -2,3 +2,6 @@ ASTOCK_TUSHARE_TOKEN=0ed6419a00d8923dc19c0b58fc92d94c9a0696949ab91a13aa58a0cc
 ASTOCK_DEBUG=true
 
 ASTOCK_DEEPSEEK_API_KEY=sk-9f6b56f08796435d988cf202e37f6ee3
+ASTOCK_ALERT_ENABLED=true
+ASTOCK_FEISHU_WEBHOOK_URL=https://open.feishu.cn/open-apis/bot/v2/hook/6307668f-10aa-4fc1-8c1e-bad1b6b78d4d
+ASTOCK_ALERT_ENVIRONMENT=local

backend/app/analysis/intraday.py

@@ -20,7 +20,7 @@ from datetime import datetime
 from app.data.tushare_client import tushare_client
 from app.data import tencent_client
 from app.data.models import SectorInfo, Recommendation, MarketTemperature, StockQuote
-from app.data.eastmoney_client import SECTOR_LIST_URL, SECTOR_HEADERS
+from app.data.eastmoney_client import SECTOR_LIST_URL, SECTOR_HEADERS, _parse_eastmoney_json
 from app.analysis.sector_scanner import scan_hot_sectors
 from app.analysis.technical import add_all_indicators
 from app.analysis.signals import generate_signals
@@ -68,7 +68,7 @@ async def intraday_market_temperature(prev_temp: MarketTemperature) -> MarketTem
             ("m:0+t:6,m:0+t:80,m:0+t:81+s:2048", 9.9),  # 主板 10%
             ("m:1+t:2,m:1+t:23", 19.9),                   # 创业板/科创板 20%
         ]:
-            async with httpx.AsyncClient() as client:
+            async with httpx.AsyncClient(follow_redirects=True) as client:
                 # 涨停：按涨幅降序取 top 200
                 params_up = {
                     "pn": "1", "pz": "200", "po": "1", "np": "1",
@@ -77,7 +77,8 @@ async def intraday_market_temperature(prev_temp: MarketTemperature) -> MarketTem
                     "fields": "f3,f12,f14",
                 }
                 resp = await client.get(SECTOR_LIST_URL, params=params_up, headers=SECTOR_HEADERS, timeout=10)
-                items = resp.json().get("data", {}).get("diff", []) if resp.json().get("data") else []
+                data_up = _parse_eastmoney_json(resp, "涨停统计")
+                items = data_up.get("data", {}).get("diff", []) if data_up.get("data") else []
                 for item in items:
                     pct = item.get("f3")
                     if pct == "-" or pct is None:
@@ -93,7 +94,8 @@ async def intraday_market_temperature(prev_temp: MarketTemperature) -> MarketTem
                     "fields": "f3,f12,f14",
                 }
                 resp_down = await client.get(SECTOR_LIST_URL, params=params_down, headers=SECTOR_HEADERS, timeout=10)
-                items_down = resp_down.json().get("data", {}).get("diff", []) if resp_down.json().get("data") else []
+                data_down = _parse_eastmoney_json(resp_down, "跌停统计")
+                items_down = data_down.get("data", {}).get("diff", []) if data_down.get("data") else []
                 neg_threshold = -threshold
                 for item in items_down:
                     pct = item.get("f3")

backend/app/api/chat.py

@@ -5,12 +5,14 @@ POST /api/chat/stream - SSE 流式对话
 
 import json
 import logging
+import traceback
 
 from fastapi import APIRouter, Depends
 from fastapi.responses import StreamingResponse
 from pydantic import BaseModel
 
 from app.core.deps import get_current_user
+from app.db.error_logger import log_error
 from app.llm.chat_agent import chat_stream
 
 logger = logging.getLogger(__name__)
@@ -39,6 +41,12 @@ async def chat_stream_endpoint(req: ChatRequest, current_user: dict = Depends(ge
             yield "data: [DONE]\n\n"
         except Exception as e:
             logger.error(f"Chat stream error: {e}")
+            await log_error(
+                "chat",
+                f"Chat stream error: {e}",
+                detail=traceback.format_exc(),
+                context={"method": "POST", "path": "/api/chat/stream"},
+            )
             error_data = json.dumps(
                 {"type": "content", "content": f"出错了: {e}"},
                 ensure_ascii=False,

backend/app/api/stocks.py

@@ -304,6 +304,7 @@ async def get_diagnose_history(ts_code: str):
             return history
     except Exception as e:
         logger.error(f"获取诊断历史失败: {e}")
+        await log_error("stocks", f"获取诊断历史失败: {e}", detail=traceback.format_exc())
         return []
 
 
@@ -648,6 +649,12 @@ async def diagnose_stock(ts_code: str, mode: str = Query("entry")):
         except Exception as e:
             error_msg = str(e)
             logger.error(f"诊断流式调用失败: {error_msg}")
+            await log_error(
+                "stocks",
+                f"诊断流式调用失败: {error_msg}",
+                detail=traceback.format_exc(),
+                context={"method": "POST", "path": f"/api/stocks/{ts_code}/diagnose"},
+            )
             yield f"data: {json.dumps({'error': error_msg}, ensure_ascii=False)}\n\n"
             yield f"data: {json.dumps({'done': True, 'ts_code': ts_code}, ensure_ascii=False)}\n\n"
 

backend/app/config.py

@@ -59,6 +59,14 @@ class Settings(BaseSettings):
     llm_max_tokens: int = 2000
     llm_temperature: float = 0.3
 
+    # 告警（Feishu / Lark Incoming Webhook）
+    alert_enabled: bool = False
+    feishu_webhook_url: str = ""
+    alert_dedup_ttl_seconds: int = 300
+    alert_max_detail_chars: int = 1200
+    alert_app_name: str = "AStock Agent"
+    alert_environment: str = "local"
+
     # 前端
     frontend_url: str = "http://localhost:3002"
 

backend/app/data/eastmoney_client.py

@@ -14,18 +14,19 @@ from datetime import datetime
 
 from app.data.cache import cache
 from app.config import settings
+from app.db.error_logger import log_error
 
 logger = logging.getLogger(__name__)
 
 # 东方财富接口
-EASTMONEY_KLINE_URL = "http://push2his.eastmoney.com/api/qt/stock/kline/get"
-SECTOR_LIST_URL = "http://push2.eastmoney.com/api/qt/clist/get"
+EASTMONEY_KLINE_URL = "https://push2his.eastmoney.com/api/qt/stock/kline/get"
+SECTOR_LIST_URL = "https://push2.eastmoney.com/api/qt/clist/get"
 HEADERS = {
-    "Referer": "http://finance.eastmoney.com",
+    "Referer": "https://finance.eastmoney.com",
     "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
 }
 SECTOR_HEADERS = {
-    "Referer": "http://data.eastmoney.com",
+    "Referer": "https://data.eastmoney.com",
     "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
 }
 
@@ -95,8 +96,9 @@ async def get_sector_realtime_ranking(
                 params=params,
                 headers=SECTOR_HEADERS,
                 timeout=10,
+                follow_redirects=True,
             )
-            data = resp.json()
+            data = _parse_eastmoney_json(resp, "板块实时排名")
 
         items = data.get("data", {}).get("diff", [])
         if not items:
@@ -130,6 +132,11 @@ async def get_sector_realtime_ranking(
 
     except Exception as e:
         logger.error(f"东方财富板块实时排名获取失败: {e}")
+        await log_error(
+            "eastmoney",
+            f"东方财富板块实时排名获取失败: {e}",
+            detail=f"fs={fs}, sort_by={sort_by}, page_size={page_size}",
+        )
         return []
 
 
@@ -174,8 +181,9 @@ async def get_min_kline(
                 params=params,
                 headers=HEADERS,
                 timeout=10,
+                follow_redirects=True,
             )
-            data = resp.json()
+            data = _parse_eastmoney_json(resp, f"分钟K线 {ts_code}")
 
         klines = data.get("data", {}).get("klines", [])
         if not klines:
@@ -209,9 +217,31 @@ async def get_min_kline(
 
     except Exception as e:
         logger.error(f"东方财富分钟K线获取失败 {ts_code}: {e}")
+        await log_error(
+            "eastmoney",
+            f"东方财富分钟K线获取失败 {ts_code}: {e}",
+            detail=f"period={period}, count={count}",
+        )
         return pd.DataFrame()
 
 
+def _parse_eastmoney_json(resp: httpx.Response, label: str) -> dict:
+    """解析东方财富 JSON 响应，遇到 302/HTML 等非 JSON 情况给出更清晰日志。"""
+    resp.raise_for_status()
+    content_type = resp.headers.get("content-type", "")
+    text_preview = (resp.text or "")[:160].replace("\n", " ").replace("\r", " ")
+    if "json" not in content_type.lower() and not resp.text.strip().startswith("{"):
+        raise ValueError(
+            f"{label} 返回非JSON响应(status={resp.status_code}, content_type={content_type}, body={text_preview})"
+        )
+    try:
+        return resp.json()
+    except Exception as e:
+        raise ValueError(
+            f"{label} JSON解析失败(status={resp.status_code}, content_type={content_type}, body={text_preview})"
+        ) from e
+
+
 def analyze_intraday_volume_distribution(min_df: pd.DataFrame) -> dict:
     """分析盘中量能分布（基于5分钟K线）
 

backend/app/data/tencent_client.py

@@ -9,6 +9,7 @@ import httpx
 from app.data.cache import cache
 from app.config import settings
 from app.data.models import StockQuote
+from app.db.error_logger import log_error
 
 logger = logging.getLogger(__name__)
 
@@ -109,6 +110,7 @@ async def get_realtime_quote(ts_code: str) -> StockQuote | None:
             return quote
     except Exception as e:
         logger.error(f"腾讯行情获取失败 {ts_code}: {e}")
+        await log_error("tencent", f"腾讯行情获取失败 {ts_code}: {e}")
         return None
 
 
@@ -172,6 +174,11 @@ async def get_realtime_quotes_batch(ts_codes: list[str]) -> dict[str, StockQuote
                         results[ts_code] = quote
         except Exception as e:
             logger.error(f"腾讯批量行情获取失败: {e}")
+            await log_error(
+                "tencent",
+                f"腾讯批量行情获取失败: {e}",
+                detail=f"batch_size={len(batch)}",
+            )
 
     return results
 
@@ -217,5 +224,10 @@ async def get_index_realtime(index_codes: list[str] = None) -> dict[str, dict]:
                     }
     except Exception as e:
         logger.error(f"腾讯指数行情获取失败: {e}")
+        await log_error(
+            "tencent",
+            f"腾讯指数行情获取失败: {e}",
+            detail=f"indices={','.join(index_codes)}",
+        )
 
     return results

backend/app/data/tushare_client.py

@@ -11,6 +11,7 @@ from datetime import datetime, timedelta
 
 from app.config import settings
 from app.data.cache import cache
+from app.db.error_logger import log_error_background
 
 logger = logging.getLogger(__name__)
 
@@ -51,6 +52,10 @@ class TushareClient:
                     time.sleep((2 ** attempt) * 1)
                 else:
                     logger.error(f"Tushare 请求最终失败: {e}")
+                    log_error_background(
+                        "tushare",
+                        f"Tushare 请求最终失败: {e}",
+                    )
                     return pd.DataFrame()
         return pd.DataFrame()
 

backend/app/db/error_logger.py

@@ -1,13 +1,22 @@
 """错误日志持久化"""
 
+import asyncio
 import traceback
 from datetime import datetime
 from app.db.database import get_db
 from app.db import tables
+from app.notifications.feishu import send_feishu_alert
 
 
-async def log_error(source: str, message: str, detail: str = "", level: str = "error"):
-    """将错误写入数据库，失败时静默（不影响主流程）"""
+async def log_error(
+    source: str,
+    message: str,
+    detail: str = "",
+    level: str = "error",
+    context: dict | None = None,
+    notify: bool = True,
+):
+    """将错误写入数据库，并按策略发送告警。"""
     try:
         async with get_db() as db:
             stmt = tables.error_logs_table.insert().values(
@@ -21,3 +30,40 @@ async def log_error(source: str, message: str, detail: str = "", level: str = "e
             await db.commit()
     except Exception:
         pass  # 写日志失败不应影响主业务
+
+    if notify and level.lower() in {"error", "critical"}:
+        try:
+            await send_feishu_alert(
+                source=source,
+                message=message,
+                detail=detail,
+                level=level,
+                context=context,
+            )
+        except Exception:
+            pass
+
+
+def log_error_background(
+    source: str,
+    message: str,
+    detail: str = "",
+    level: str = "error",
+    context: dict | None = None,
+    notify: bool = True,
+):
+    """在存在事件循环时后台投递错误记录。"""
+    try:
+        loop = asyncio.get_running_loop()
+        loop.create_task(
+            log_error(
+                source=source,
+                message=message,
+                detail=detail,
+                level=level,
+                context=context,
+                notify=notify,
+            )
+        )
+    except RuntimeError:
+        pass

backend/app/llm/batch_screener.py

@@ -10,6 +10,7 @@ import logging
 import re
 
 from app.config import settings
+from app.db.error_logger import log_error
 
 logger = logging.getLogger(__name__)
 
@@ -62,6 +63,11 @@ async def prefilter_single_stock(candidate: dict, market_summary: str) -> dict:
         return _parse_prefilter_response(content)
     except Exception as e:
         logger.error(f"LLM 预筛 {candidate.get('ts_code')} 失败: {e}")
+        await log_error(
+            "llm_prefilter",
+            f"LLM 预筛 {candidate.get('ts_code')} 失败: {e}",
+            detail=f"candidate={candidate.get('ts_code')}|{candidate.get('name', '')}",
+        )
         return {
             "decision": "watch",
             "confidence": 5,
@@ -135,6 +141,11 @@ async def analyze_single_stock(candidate: dict, market_summary: str) -> dict:
 
     except Exception as e:
         logger.error(f"LLM 分析 {candidate.get('ts_code')} 失败: {e}")
+        await log_error(
+            "llm_final",
+            f"LLM 分析 {candidate.get('ts_code')} 失败: {e}",
+            detail=f"candidate={candidate.get('ts_code')}|{candidate.get('name', '')}",
+        )
         return {
             "verdict": "watch",
             "action_plan": "重点关注",

backend/app/llm/client.py

@@ -6,6 +6,7 @@
 import logging
 from openai import AsyncOpenAI
 from app.config import settings
+from app.db.error_logger import log_error
 
 logger = logging.getLogger(__name__)
 
@@ -53,6 +54,11 @@ async def chat_completion(
         return resp.choices[0].message
     except Exception as e:
         logger.error(f"LLM 调用失败: {e}")
+        await log_error(
+            "llm",
+            f"LLM 调用失败: {e}",
+            detail=f"model={settings.deepseek_model}, tools={bool(tools)}",
+        )
         return None
 
 
@@ -86,3 +92,8 @@ async def stream_chat_completion(
                 yield chunk.choices[0].delta
     except Exception as e:
         logger.error(f"LLM 流式调用失败: {e}")
+        await log_error(
+            "llm",
+            f"LLM 流式调用失败: {e}",
+            detail=f"model={settings.deepseek_model}, tools={bool(tools)}",
+        )

backend/app/llm/tool_executor.py

@@ -7,6 +7,8 @@ import json
 import logging
 import math
 
+from app.db.error_logger import log_error
+
 logger = logging.getLogger(__name__)
 
 _chat_user_context: dict | None = None
@@ -50,6 +52,11 @@ async def execute_tool(name: str, arguments: dict) -> str:
             return json.dumps({"error": f"未知工具: {name}"}, ensure_ascii=False)
     except Exception as e:
         logger.error(f"工具执行失败 {name}: {e}")
+        await log_error(
+            "llm_tool",
+            f"工具执行失败 {name}: {e}",
+            detail=f"arguments={json.dumps(arguments, ensure_ascii=False, default=str)}",
+        )
         return json.dumps({"error": str(e)}, ensure_ascii=False)
 
 
@@ -272,4 +279,5 @@ async def _get_realtime_indices() -> str:
         }, ensure_ascii=False, default=str)
     except Exception as e:
         logger.error(f"获取实时指数失败: {e}")
+        await log_error("llm_tool", f"获取实时指数失败: {e}")
         return json.dumps({"error": f"获取指数数据失败: {e}"}, ensure_ascii=False)

backend/app/main.py

@@ -1,11 +1,14 @@
 """A 股分析推荐 Agent - FastAPI 入口"""
 
 import logging
+import traceback
 from contextlib import asynccontextmanager
-from fastapi import FastAPI
+from fastapi import FastAPI, Request
+from fastapi.responses import JSONResponse
 from fastapi.middleware.cors import CORSMiddleware
 
 from app.config import settings
+from app.db.error_logger import log_error
 from app.db.database import init_db
 from app.engine.scheduler import start_scheduler, stop_scheduler
 from app.api import market, sectors, recommendations, stocks, watchlists, websocket, chat, auth, debug
@@ -46,13 +49,23 @@ async def ensure_admin_exists():
 async def lifespan(app: FastAPI):
     # 启动
     logger.info("A 股分析推荐 Agent 启动中...")
+    try:
         await init_db()
         logger.info("数据库初始化完成")
         await ensure_admin_exists()
         start_scheduler()
         logger.info("调度器已启动")
         yield
-    # 关闭
+    except Exception as e:
+        logger.exception("应用生命周期异常")
+        await log_error(
+            "lifespan",
+            f"应用生命周期异常: {e}",
+            detail=traceback.format_exc(),
+            level="critical",
+        )
+        raise
+    finally:
         stop_scheduler()
         logger.info("服务已关闭")
 
@@ -87,6 +100,27 @@ app.include_router(debug.router)
 app.websocket("/ws")(websocket.ws_endpoint)
 
 
+@app.exception_handler(Exception)
+async def unhandled_exception_handler(request: Request, exc: Exception):
+    logger.exception("未处理的接口异常: %s %s", request.method, request.url.path)
+    query = str(request.url.query or "")
+    await log_error(
+        "asgi",
+        f"未处理的接口异常: {exc}",
+        detail=traceback.format_exc(),
+        level="error",
+        context={
+            "method": request.method,
+            "path": request.url.path,
+            "query": query,
+        },
+    )
+    return JSONResponse(
+        status_code=500,
+        content={"detail": "服务器内部错误"},
+    )
+
+
 @app.get("/api/health")
 async def health():
     return {

backend/app/notifications/__init__.py

@@ -0,0 +1 @@
+"""通知模块"""

backend/app/notifications/feishu.py

@@ -0,0 +1,93 @@
+"""Feishu/Lark 告警发送"""
+
+from __future__ import annotations
+
+import hashlib
+import logging
+from datetime import datetime
+from zoneinfo import ZoneInfo
+
+import httpx
+
+from app.config import settings
+from app.data.cache import cache
+
+logger = logging.getLogger(__name__)
+
+
+def _build_signature(
+    source: str,
+    message: str,
+    level: str,
+    context: dict | None = None,
+) -> str:
+    context = context or {}
+    basis = "|".join([
+        source,
+        level,
+        message.strip(),
+        str(context.get("method", "")),
+        str(context.get("path", "")),
+    ])
+    return hashlib.sha1(basis.encode("utf-8")).hexdigest()
+
+
+def _truncate(text: str, limit: int) -> str:
+    text = (text or "").strip()
+    if len(text) <= limit:
+        return text
+    return f"{text[:limit]}..."
+
+
+async def send_feishu_alert(
+    source: str,
+    message: str,
+    detail: str = "",
+    level: str = "error",
+    context: dict | None = None,
+) -> bool:
+    """发送 Feishu 告警，内置去重，失败不抛异常。"""
+    if not settings.alert_enabled or not settings.feishu_webhook_url:
+        return False
+
+    signature = _build_signature(source, message, level, context)
+    dedup_key = f"feishu_alert:{signature}"
+    if cache.get(dedup_key):
+        return False
+
+    cache.set(dedup_key, True, settings.alert_dedup_ttl_seconds)
+    now = datetime.now(ZoneInfo("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+    context = context or {}
+    detail = _truncate(detail, settings.alert_max_detail_chars)
+
+    lines = [
+        f"[{settings.alert_app_name}] {level.upper()}",
+        f"环境: {settings.alert_environment}",
+        f"时间: {now}",
+        f"来源: {source}",
+        f"摘要: {message}",
+    ]
+    if context.get("method") or context.get("path"):
+        lines.append(
+            f"请求: {context.get('method', '')} {context.get('path', '')}".strip()
+        )
+    if context.get("query"):
+        lines.append(f"Query: {context['query']}")
+    if detail:
+        lines.append(f"详情: {detail}")
+
+    payload = {
+        "msg_type": "text",
+        "content": {
+            "text": "\n".join(lines),
+        },
+    }
+
+    try:
+        async with httpx.AsyncClient(timeout=8, follow_redirects=True) as client:
+            resp = await client.post(settings.feishu_webhook_url, json=payload)
+            resp.raise_for_status()
+        return True
+    except Exception as e:
+        logger.warning("Feishu 告警发送失败: %s", e)
+        return False