Merge branch 'feature_bugfix/251201_vf_h5_ui' into feature_bugfix/251201_py_h5_ui

* feature_bugfix/251201_vf_h5_ui:
  feat: 修复 pc 客服弹窗UI展示问题

app.py

@@ -1510,8 +1510,8 @@ def initialize_subscription_plans_safe():
 
         pro_plan = SubscriptionPlan(
             name='pro',
-            display_name='Pro版本',
-            description='适合个人投资者的基础功能套餐',
+            display_name='Pro 专业版',
+            description='事件关联股票深度分析 | 历史事件智能对比复盘 | 事件概念关联与挖掘 | 概念板块个股追踪 | 概念深度研报与解读 | 个股异动实时预警',
             monthly_price=0.01,
             yearly_price=0.08,
             features=json.dumps([
@@ -1526,8 +1526,8 @@ def initialize_subscription_plans_safe():
 
         max_plan = SubscriptionPlan(
             name='max',
-            display_name='Max版本',
-            description='适合专业投资者的全功能套餐',
+            display_name='Max 旗舰版',
+            description='包含Pro版全部功能 | 事件传导链路智能分析 | 概念演变时间轴追溯 | 个股全方位深度研究 | 价小前投研助手无限使用 | 新功能优先体验权 | 专属客服一对一服务',
             monthly_price=0.1,
             yearly_price=0.8,
             features=json.dumps([
@@ -7289,6 +7289,135 @@ def get_timeline_data(stock_code, event_datetime, stock_name):
 
 
 # ==================== 指数行情API（与股票逻辑一致，数据表为 index_minute） ====================
+
+@app.route('/api/index/<index_code>/realtime')
+def get_index_realtime(index_code):
+    """
+    获取指数实时行情（用于交易时间内的行情更新）
+    从 index_minute 表获取最新的分钟数据
+    返回: 最新价、涨跌幅、涨跌额、开盘价、最高价、最低价、昨收价
+    """
+    # 确保指数代码包含后缀（ClickHouse 中存储的是带后缀的代码）
+    # 上证指数: 000xxx.SH, 深证指数: 399xxx.SZ
+    if '.' not in index_code:
+        if index_code.startswith('399'):
+            index_code = f"{index_code}.SZ"
+        else:
+            # 000开头的上证指数，以及其他指数默认上海
+            index_code = f"{index_code}.SH"
+
+    client = get_clickhouse_client()
+    today = date.today()
+
+    # 判断今天是否是交易日
+    if today not in trading_days_set:
+        # 非交易日，获取最近一个交易日的收盘数据
+        target_date = get_trading_day_near_date(today)
+        if not target_date:
+            return jsonify({
+                'success': False,
+                'error': 'No trading day found',
+                'data': None
+            })
+        is_trading = False
+    else:
+        target_date = today
+        # 判断是否在交易时间内
+        now = datetime.now()
+        current_minutes = now.hour * 60 + now.minute
+        # 9:30-11:30 = 570-690, 13:00-15:00 = 780-900
+        is_trading = (570 <= current_minutes <= 690) or (780 <= current_minutes <= 900)
+
+    try:
+        # 获取当天/最近交易日的第一条数据（开盘价）和最后一条数据（最新价）
+        # 同时获取最高价和最低价
+        data = client.execute(
+            """
+            SELECT
+                min(open) as first_open,
+                max(high) as day_high,
+                min(low) as day_low,
+                argMax(close, timestamp) as latest_close,
+                argMax(timestamp, timestamp) as latest_time
+            FROM index_minute
+            WHERE code = %(code)s
+              AND toDate(timestamp) = %(date)s
+            """,
+            {
+                'code': index_code,
+                'date': target_date,
+            }
+        )
+
+        if not data or not data[0] or data[0][3] is None:
+            return jsonify({
+                'success': False,
+                'error': 'No data available',
+                'data': None
+            })
+
+        row = data[0]
+        first_open = float(row[0]) if row[0] else None
+        day_high = float(row[1]) if row[1] else None
+        day_low = float(row[2]) if row[2] else None
+        latest_close = float(row[3]) if row[3] else None
+        latest_time = row[4]
+
+        # 获取昨收价（从 MySQL ea_exchangetrade 表）
+        code_no_suffix = index_code.split('.')[0]
+        prev_close = None
+
+        with engine.connect() as conn:
+            # 获取前一个交易日的收盘价
+            prev_result = conn.execute(text(
+                """
+                SELECT F006N
+                FROM ea_exchangetrade
+                WHERE INDEXCODE = :code
+                  AND TRADEDATE < :today
+                ORDER BY TRADEDATE DESC LIMIT 1
+                """
+            ), {
+                'code': code_no_suffix,
+                'today': datetime.combine(target_date, dt_time(0, 0, 0))
+            }).fetchone()
+
+            if prev_result and prev_result[0]:
+                prev_close = float(prev_result[0])
+
+        # 计算涨跌额和涨跌幅
+        change_amount = None
+        change_pct = None
+        if latest_close is not None and prev_close is not None and prev_close > 0:
+            change_amount = latest_close - prev_close
+            change_pct = (change_amount / prev_close) * 100
+
+        return jsonify({
+            'success': True,
+            'data': {
+                'code': index_code,
+                'price': latest_close,
+                'open': first_open,
+                'high': day_high,
+                'low': day_low,
+                'prev_close': prev_close,
+                'change': change_amount,
+                'change_pct': change_pct,
+                'update_time': latest_time.strftime('%H:%M:%S') if latest_time else None,
+                'trade_date': target_date.strftime('%Y-%m-%d'),
+                'is_trading': is_trading,
+            }
+        })
+
+    except Exception as e:
+        logger.error(f"获取指数实时行情失败: {index_code}, 错误: {str(e)}")
+        return jsonify({
+            'success': False,
+            'error': str(e),
+            'data': None
+        }), 500
+
+
 @app.route('/api/index/<index_code>/kline')
 def get_index_kline(index_code):
     chart_type = request.args.get('type', 'minute')

app_vx.py

@@ -559,7 +559,86 @@ app.config['COMPRESS_MIMETYPES'] = [
     'application/javascript',
     'application/x-javascript'
 ]
-user_tokens = {}
+
+# ===================== Token 存储（支持多 worker 共享） =====================
+class TokenStore:
+    """
+    Token 存储类 - 支持 Redis（多 worker 共享）或内存（单 worker）
+    """
+    def __init__(self):
+        self._redis_client = None
+        self._memory_store = {}
+        self._prefix = 'vf_token:'
+        self._initialized = False
+
+    def _ensure_initialized(self):
+        """延迟初始化，确保在 fork 后才连接 Redis"""
+        if self._initialized:
+            return
+        self._initialized = True
+
+        redis_url = os.environ.get('REDIS_URL', 'redis://localhost:6379/0')
+        try:
+            import redis
+            self._redis_client = redis.from_url(redis_url)
+            self._redis_client.ping()
+            logger.info(f"✅ Token 存储: Redis ({redis_url})")
+        except Exception as e:
+            logger.warning(f"⚠️ Redis 不可用 ({e})，Token 使用内存存储（多 worker 模式下会有问题！）")
+            self._redis_client = None
+
+    def get(self, token):
+        """获取 token 数据"""
+        self._ensure_initialized()
+        if self._redis_client:
+            try:
+                data = self._redis_client.get(f"{self._prefix}{token}")
+                if data:
+                    return json.loads(data)
+                return None
+            except Exception as e:
+                logger.error(f"Redis get error: {e}")
+                return self._memory_store.get(token)
+        return self._memory_store.get(token)
+
+    def set(self, token, data, expire_seconds=30*24*3600):
+        """设置 token 数据"""
+        self._ensure_initialized()
+        if self._redis_client:
+            try:
+                # 将 datetime 转为字符串存储
+                store_data = data.copy()
+                if 'expires' in store_data and isinstance(store_data['expires'], datetime):
+                    store_data['expires'] = store_data['expires'].isoformat()
+                self._redis_client.setex(
+                    f"{self._prefix}{token}",
+                    expire_seconds,
+                    json.dumps(store_data)
+                )
+                return
+            except Exception as e:
+                logger.error(f"Redis set error: {e}")
+        self._memory_store[token] = data
+
+    def delete(self, token):
+        """删除 token"""
+        self._ensure_initialized()
+        if self._redis_client:
+            try:
+                self._redis_client.delete(f"{self._prefix}{token}")
+                return
+            except Exception as e:
+                logger.error(f"Redis delete error: {e}")
+        self._memory_store.pop(token, None)
+
+    def __contains__(self, token):
+        """支持 'in' 操作符"""
+        return self.get(token) is not None
+
+
+# 使用 TokenStore 替代内存字典
+user_tokens = TokenStore()
+
 app.config['SECRET_KEY'] = 'vf7891574233241'
 app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql+pymysql://root:Zzl5588161!@222.128.1.157:33060/stock?charset=utf8mb4'
 app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
@@ -597,14 +676,36 @@ JWT_SECRET_KEY = 'vfllmgreat33818!'  # 请修改为安全的密钥
 JWT_ALGORITHM = 'HS256'
 JWT_EXPIRATION_HOURS = 24 * 7  # Token有效期7天
 
-# Session 配置 - 使用文件系统存储（替代 Redis）
-app.config['SESSION_TYPE'] = 'filesystem'
-app.config['SESSION_FILE_DIR'] = os.path.join(os.path.dirname(__file__), 'flask_session')
+# Session 配置
+# 优先使用 Redis（支持多 worker 共享），否则回退到文件系统
+_REDIS_URL = os.environ.get('REDIS_URL', 'redis://localhost:6379/0')
+_USE_REDIS_SESSION = os.environ.get('USE_REDIS_SESSION', 'true').lower() == 'true'
+
+try:
+    if _USE_REDIS_SESSION:
+        import redis
+        # 测试 Redis 连接
+        _redis_client = redis.from_url(_REDIS_URL)
+        _redis_client.ping()
+
+        app.config['SESSION_TYPE'] = 'redis'
+        app.config['SESSION_REDIS'] = _redis_client
+        app.config['SESSION_KEY_PREFIX'] = 'vf_session:'
+        logger.info(f"✅ Session 存储: Redis ({_REDIS_URL})")
+    else:
+        raise Exception("Redis session disabled by config")
+except Exception as e:
+    # Redis 不可用，回退到文件系统
+    logger.warning(f"⚠️ Redis 不可用 ({e})，使用文件系统 session（多 worker 模式下可能不稳定）")
+    app.config['SESSION_TYPE'] = 'filesystem'
+    app.config['SESSION_FILE_DIR'] = os.path.join(os.path.dirname(__file__), 'flask_session')
+    os.makedirs(app.config['SESSION_FILE_DIR'], exist_ok=True)
+
 app.config['SESSION_PERMANENT'] = True
 app.config['PERMANENT_SESSION_LIFETIME'] = timedelta(days=7)  # Session 有效期 7 天
-
-# 确保 session 目录存在
-os.makedirs(app.config['SESSION_FILE_DIR'], exist_ok=True)
+app.config['SESSION_COOKIE_SECURE'] = False  # 生产环境 HTTPS 时设为 True
+app.config['SESSION_COOKIE_HTTPONLY'] = True
+app.config['SESSION_COOKIE_SAMESITE'] = 'Lax'
 
 # Cache directory setup
 CACHE_DIR = Path('cache')
@@ -661,9 +762,12 @@ def token_required(f):
         if not token_data:
             return jsonify({'message': 'Token无效', 'code': 401}), 401
 
-        # 检查是否过期
-        if token_data['expires'] < datetime.now():
-            del user_tokens[token]
+        # 检查是否过期（expires 可能是字符串或 datetime）
+        expires = token_data['expires']
+        if isinstance(expires, str):
+            expires = datetime.fromisoformat(expires)
+        if expires < datetime.now():
+            user_tokens.delete(token)
             return jsonify({'message': 'Token已过期'}), 401
 
         # 获取用户对象并添加到请求上下文
@@ -3438,7 +3542,7 @@ def logout_with_token():
         token = data.get('token') if data else None
 
     if token and token in user_tokens:
-        del user_tokens[token]
+        user_tokens.delete(token)
 
     # 清除session
     session.clear()
@@ -3595,10 +3699,10 @@ def login_with_phone():
         token = generate_token(32)
 
         # 存储token映射（30天有效期）
-        user_tokens[token] = {
+        user_tokens.set(token, {
             'user_id': user.id,
             'expires': datetime.now() + timedelta(days=30)
-        }
+        })
 
         # 清除验证码
         del verification_codes[phone]
@@ -3648,9 +3752,12 @@ def verify_token():
     if not token_data:
         return jsonify({'valid': False, 'message': 'Token无效', 'code': 401}), 401
 
-    # 检查是否过期
-    if token_data['expires'] < datetime.now():
-        del user_tokens[token]
+    # 检查是否过期（expires 可能是字符串或 datetime）
+    expires = token_data['expires']
+    if isinstance(expires, str):
+        expires = datetime.fromisoformat(expires)
+    if expires < datetime.now():
+        user_tokens.delete(token)
         return jsonify({'valid': False, 'message': 'Token已过期'}), 401
 
     # 获取用户信息
@@ -3883,10 +3990,10 @@ def api_login_wechat():
         token = generate_token(32)  # 使用相同的随机字符串生成器
 
         # 存储token映射（与手机登录保持一致）
-        user_tokens[token] = {
+        user_tokens.set(token, {
             'user_id': user.id,
             'expires': datetime.now() + timedelta(days=30)  # 30天有效期
-        }
+        })
 
         # 设置session（可选，保持与手机登录一致）
         session.permanent = True
@@ -5274,6 +5381,114 @@ def get_comment_replies(comment_id):
         }), 500
 
 
+# 工具函数：解析JSON字段
+def parse_json_field(field_value):
+    """解析JSON字段"""
+    if not field_value:
+        return []
+    try:
+        if isinstance(field_value, str):
+            if field_value.startswith('['):
+                return json.loads(field_value)
+            else:
+                return field_value.split(',')
+        else:
+            return field_value
+    except:
+        return []
+
+
+# 工具函数：获取 future_events 表字段值，支持新旧字段回退
+def get_future_event_field(row, new_field, old_field):
+    """
+    获取 future_events 表字段值，支持新旧字段回退
+    如果新字段存在且不为空，使用新字段；否则使用旧字段
+    """
+    new_value = getattr(row, new_field, None) if hasattr(row, new_field) else None
+    old_value = getattr(row, old_field, None) if hasattr(row, old_field) else None
+
+    # 如果新字段有值（不为空字符串），使用新字段
+    if new_value is not None and str(new_value).strip():
+        return new_value
+    return old_value
+
+
+# 工具函数：解析新的 best_matches 数据结构（含研报引用信息）
+def parse_best_matches(best_matches_value):
+    """
+    解析新的 best_matches 数据结构（含研报引用信息）
+
+    新结构示例:
+    [
+        {
+            "stock_code": "300451.SZ",
+            "company_name": "创业慧康",
+            "original_description": "核心标的，医疗信息化...",
+            "best_report_title": "报告标题",
+            "best_report_author": "作者",
+            "best_report_sentences": "相关内容",
+            "best_report_match_score": "好",
+            "best_report_match_ratio": 0.9285714285714286,
+            "best_report_declare_date": "2023-04-25T00:00:00",
+            "total_reports": 9,
+            "high_score_reports": 6
+        },
+        ...
+    ]
+
+    返回统一格式的股票列表，兼容旧格式
+    """
+    if not best_matches_value:
+        return []
+
+    try:
+        # 解析 JSON
+        if isinstance(best_matches_value, str):
+            data = json.loads(best_matches_value)
+        else:
+            data = best_matches_value
+
+        if not isinstance(data, list):
+            return []
+
+        result = []
+        for item in data:
+            if isinstance(item, dict):
+                # 新结构：包含研报信息的字典
+                stock_info = {
+                    'code': item.get('stock_code', ''),
+                    'name': item.get('company_name', ''),
+                    'description': item.get('original_description', ''),
+                    'score': item.get('best_report_match_ratio', 0),
+                    # 研报引用信息
+                    'report': {
+                        'title': item.get('best_report_title', ''),
+                        'author': item.get('best_report_author', ''),
+                        'sentences': item.get('best_report_sentences', ''),
+                        'match_score': item.get('best_report_match_score', ''),
+                        'match_ratio': item.get('best_report_match_ratio', 0),
+                        'declare_date': item.get('best_report_declare_date', ''),
+                        'total_reports': item.get('total_reports', 0),
+                        'high_score_reports': item.get('high_score_reports', 0)
+                    } if item.get('best_report_title') else None
+                }
+                result.append(stock_info)
+            elif isinstance(item, (list, tuple)) and len(item) >= 2:
+                # 旧结构：[code, name, description, score]
+                result.append({
+                    'code': item[0],
+                    'name': item[1],
+                    'description': item[2] if len(item) > 2 else '',
+                    'score': item[3] if len(item) > 3 else 0,
+                    'report': None
+                })
+
+        return result
+    except Exception as e:
+        print(f"parse_best_matches error: {e}")
+        return []
+
+
 # 工具函数：处理转义字符，保留 Markdown 格式
 def unescape_markdown_text(text):
     """
@@ -5363,6 +5578,7 @@ def api_calendar_events():
         offset = (page - 1) * per_page
 
         # 构建基础查询 - 使用 future_events 表
+        # 添加新字段 second_modified_text, `second_modified_text.1`, best_matches 支持新旧回退
         query = """
                 SELECT data_id, \
                        calendar_time, \
@@ -5374,7 +5590,10 @@ def api_calendar_events():
                        fact, \
                        related_stocks, \
                        concepts, \
-                       inferred_tag
+                       inferred_tag, \
+                       second_modified_text, \
+                       `second_modified_text.1` as second_modified_text_1, \
+                       best_matches
                 FROM future_events
                 WHERE 1 = 1 \
                 """
@@ -5445,90 +5664,114 @@ def api_calendar_events():
 
         events_data = []
         for event in events:
-            # 解析相关股票
+            # 使用新字段回退机制获取 former 和 forecast
+            # second_modified_text -> former
+            former_value = get_future_event_field(event, 'second_modified_text', 'former')
+            # second_modified_text.1 -> forecast
+            forecast_new = getattr(event, 'second_modified_text_1', None)
+            forecast_value = forecast_new if (forecast_new and str(forecast_new).strip()) else getattr(event, 'forecast', None)
+
+            # 解析相关股票 - 优先使用 best_matches，回退到 related_stocks
             related_stocks_list = []
             related_avg_chg = 0
             related_max_chg = 0
             related_week_chg = 0
 
-            # 处理相关股票数据
-            if event.related_stocks:
+            # 优先使用 best_matches（新结构，含研报引用）
+            best_matches = getattr(event, 'best_matches', None)
+            if best_matches and str(best_matches).strip():
+                # 使用新的 parse_best_matches 函数解析
+                parsed_stocks = parse_best_matches(best_matches)
+            else:
+                # 回退到旧的 related_stocks 处理
+                parsed_stocks = []
+                if event.related_stocks:
+                    try:
+                        import ast
+                        if isinstance(event.related_stocks, str):
+                            try:
+                                stock_data = json.loads(event.related_stocks)
+                            except:
+                                stock_data = ast.literal_eval(event.related_stocks)
+                        else:
+                            stock_data = event.related_stocks
+
+                        if stock_data:
+                            for stock_info in stock_data:
+                                if isinstance(stock_info, list) and len(stock_info) >= 2:
+                                    parsed_stocks.append({
+                                        'code': stock_info[0],
+                                        'name': stock_info[1],
+                                        'description': stock_info[2] if len(stock_info) > 2 else '',
+                                        'score': stock_info[3] if len(stock_info) > 3 else 0,
+                                        'report': None
+                                    })
+                    except Exception as e:
+                        print(f"Error parsing related_stocks for event {event.data_id}: {e}")
+
+            # 处理解析后的股票数据，获取交易信息
+            if parsed_stocks:
                 try:
-                    import json
-                    import ast
+                    daily_changes = []
+                    week_changes = []
 
-                    # 使用与detail接口相同的解析逻辑
-                    if isinstance(event.related_stocks, str):
-                        try:
-                            stock_data = json.loads(event.related_stocks)
-                        except:
-                            stock_data = ast.literal_eval(event.related_stocks)
-                    else:
-                        stock_data = event.related_stocks
+                    for stock_info in parsed_stocks:
+                        stock_code = stock_info.get('code', '')
+                        stock_name = stock_info.get('name', '')
+                        description = stock_info.get('description', '')
+                        score = stock_info.get('score', 0)
+                        report = stock_info.get('report', None)
 
-                    if stock_data:
-                        daily_changes = []
-                        week_changes = []
+                        if stock_code:
+                            # 规范化股票代码，移除后缀
+                            clean_code = stock_code.replace('.SZ', '').replace('.SH', '').replace('.BJ', '')
 
-                        # 处理正确的数据格式 [股票代码, 股票名称, 描述, 分数]
-                        for stock_info in stock_data:
-                            if isinstance(stock_info, list) and len(stock_info) >= 2:
-                                stock_code = stock_info[0]  # 股票代码
-                                stock_name = stock_info[1]  # 股票名称
-                                description = stock_info[2] if len(stock_info) > 2 else ''
-                                score = stock_info[3] if len(stock_info) > 3 else 0
-                            else:
-                                continue
+                            # 使用模糊匹配查询真实的交易数据
+                            trade_query = """
+                                          SELECT F007N as close_price, F010N as change_pct, TRADEDATE
+                                          FROM ea_trade
+                                          WHERE SECCODE LIKE :stock_code_pattern
+                                          ORDER BY TRADEDATE DESC LIMIT 7 \
+                                          """
+                            trade_result = db.session.execute(text(trade_query),
+                                                              {'stock_code_pattern': f'{clean_code}%'})
+                            trade_data = trade_result.fetchall()
 
-                            if stock_code:
-                                # 规范化股票代码，移除后缀
-                                clean_code = stock_code.replace('.SZ', '').replace('.SH', '').replace('.BJ', '')
+                            daily_chg = 0
+                            week_chg = 0
 
-                                # 使用模糊匹配查询真实的交易数据
-                                trade_query = """
-                                              SELECT F007N as close_price, F010N as change_pct, TRADEDATE
-                                              FROM ea_trade
-                                              WHERE SECCODE LIKE :stock_code_pattern
-                                              ORDER BY TRADEDATE DESC LIMIT 7 \
-                                              """
-                                trade_result = db.session.execute(text(trade_query),
-                                                                  {'stock_code_pattern': f'{clean_code}%'})
-                                trade_data = trade_result.fetchall()
+                            if trade_data:
+                                # 日涨跌幅（当日）
+                                daily_chg = float(trade_data[0].change_pct or 0)
 
-                                daily_chg = 0
-                                week_chg = 0
+                                # 周涨跌幅（5个交易日）
+                                if len(trade_data) >= 5:
+                                    current_price = float(trade_data[0].close_price or 0)
+                                    week_ago_price = float(trade_data[4].close_price or 0)
+                                    if week_ago_price > 0:
+                                        week_chg = ((current_price - week_ago_price) / week_ago_price) * 100
 
-                                if trade_data:
-                                    # 日涨跌幅（当日）
-                                    daily_chg = float(trade_data[0].change_pct or 0)
+                            # 收集涨跌幅数据
+                            daily_changes.append(daily_chg)
+                            week_changes.append(week_chg)
 
-                                    # 周涨跌幅（5个交易日）
-                                    if len(trade_data) >= 5:
-                                        current_price = float(trade_data[0].close_price or 0)
-                                        week_ago_price = float(trade_data[4].close_price or 0)
-                                        if week_ago_price > 0:
-                                            week_chg = ((current_price - week_ago_price) / week_ago_price) * 100
+                            related_stocks_list.append({
+                                'code': stock_code,
+                                'name': stock_name,
+                                'description': description,
+                                'score': score,
+                                'daily_chg': daily_chg,
+                                'week_chg': week_chg,
+                                'report': report  # 添加研报引用信息
+                            })
 
-                                # 收集涨跌幅数据
-                                daily_changes.append(daily_chg)
-                                week_changes.append(week_chg)
+                    # 计算平均收益率
+                    if daily_changes:
+                        related_avg_chg = round(sum(daily_changes) / len(daily_changes), 4)
+                        related_max_chg = round(max(daily_changes), 4)
 
-                                related_stocks_list.append({
-                                    'code': stock_code,
-                                    'name': stock_name,
-                                    'description': description,
-                                    'score': score,
-                                    'daily_chg': daily_chg,
-                                    'week_chg': week_chg
-                                })
-
-                        # 计算平均收益率
-                        if daily_changes:
-                            related_avg_chg = round(sum(daily_changes) / len(daily_changes), 4)
-                            related_max_chg = round(max(daily_changes), 4)
-
-                        if week_changes:
-                            related_week_chg = round(sum(week_changes) / len(week_changes), 4)
+                    if week_changes:
+                        related_week_chg = round(sum(week_changes) / len(week_changes), 4)
 
                 except Exception as e:
                     print(f"Error processing related stocks for event {event.data_id}: {e}")
@@ -5553,8 +5796,9 @@ def api_calendar_events():
                     highlight_match = 'concepts'
 
             # 将转义的换行符转换为真正的换行符，保留 Markdown 格式
-            cleaned_former = unescape_markdown_text(event.former)
-            cleaned_forecast = unescape_markdown_text(event.forecast)
+            # 使用新字段回退后的值（former_value, forecast_value）
+            cleaned_former = unescape_markdown_text(former_value)
+            cleaned_forecast = unescape_markdown_text(forecast_value)
             cleaned_fact = unescape_markdown_text(event.fact)
 
             event_dict = {
@@ -5800,6 +6044,7 @@ def api_future_event_detail(item_id):
     """未来事件详情接口 - 连接 future_events 表 (修正数据解析) - 仅限 Pro/Max 会员"""
     try:
         # 从 future_events 表查询事件详情
+        # 添加新字段 second_modified_text, `second_modified_text.1`, best_matches 支持新旧回退
         query = """
                 SELECT data_id, \
                        calendar_time, \
@@ -5810,7 +6055,10 @@ def api_future_event_detail(item_id):
                        forecast, \
                        fact, \
                        related_stocks, \
-                       concepts
+                       concepts, \
+                       second_modified_text, \
+                       `second_modified_text.1` as second_modified_text_1, \
+                       best_matches
                 FROM future_events
                 WHERE data_id = :item_id \
                 """
@@ -5825,6 +6073,13 @@ def api_future_event_detail(item_id):
                 'data': None
             }), 404
 
+        # 使用新字段回退机制获取 former 和 forecast
+        # second_modified_text -> former
+        former_value = get_future_event_field(event, 'second_modified_text', 'former')
+        # second_modified_text.1 -> forecast
+        forecast_new = getattr(event, 'second_modified_text_1', None)
+        forecast_value = forecast_new if (forecast_new and str(forecast_new).strip()) else getattr(event, 'forecast', None)
+
         extracted_concepts = extract_concepts_from_concepts_field(event.concepts)
 
         # 解析相关股票
@@ -5868,136 +6123,150 @@ def api_future_event_detail(item_id):
             '环保': '公共产业板块', '综合': '公共产业板块'
         }
 
-        # 处理相关股票
+        # 处理相关股票 - 优先使用 best_matches，回退到 related_stocks
         related_avg_chg = 0
         related_max_chg = 0
         related_week_chg = 0
 
-        if event.related_stocks:
+        # 优先使用 best_matches（新结构，含研报引用）
+        best_matches = getattr(event, 'best_matches', None)
+        if best_matches and str(best_matches).strip():
+            # 使用新的 parse_best_matches 函数解析
+            parsed_stocks = parse_best_matches(best_matches)
+        else:
+            # 回退到旧的 related_stocks 处理
+            parsed_stocks = []
+            if event.related_stocks:
+                try:
+                    import ast
+                    if isinstance(event.related_stocks, str):
+                        try:
+                            stock_data = json.loads(event.related_stocks)
+                        except:
+                            stock_data = ast.literal_eval(event.related_stocks)
+                    else:
+                        stock_data = event.related_stocks
+
+                    if stock_data:
+                        for stock_info in stock_data:
+                            if isinstance(stock_info, list) and len(stock_info) >= 2:
+                                parsed_stocks.append({
+                                    'code': stock_info[0],
+                                    'name': stock_info[1],
+                                    'description': stock_info[2] if len(stock_info) > 2 else '',
+                                    'score': stock_info[3] if len(stock_info) > 3 else 0,
+                                    'report': None
+                                })
+                except Exception as e:
+                    print(f"Error parsing related_stocks for event {event.data_id}: {e}")
+
+        # 处理解析后的股票数据
+        if parsed_stocks:
             try:
-                import json
-                import ast
+                daily_changes = []
+                week_changes = []
 
-                # **修正：正确解析related_stocks数据结构**
-                if isinstance(event.related_stocks, str):
-                    try:
-                        # 先尝试JSON解析
-                        stock_data = json.loads(event.related_stocks)
-                    except:
-                        # 如果JSON解析失败，尝试ast.literal_eval解析
-                        stock_data = ast.literal_eval(event.related_stocks)
-                else:
-                    stock_data = event.related_stocks
+                for stock_info in parsed_stocks:
+                    stock_code = stock_info.get('code', '')
+                    stock_name = stock_info.get('name', '')
+                    description = stock_info.get('description', '')
+                    score = stock_info.get('score', 0)
+                    report = stock_info.get('report', None)
 
-                print(f"Parsed stock_data: {stock_data}")  # 调试输出
+                    if stock_code:
+                        # 规范化股票代码，移除后缀
+                        clean_code = stock_code.replace('.SZ', '').replace('.SH', '').replace('.BJ', '')
 
-                if stock_data:
-                    daily_changes = []
-                    week_changes = []
+                        print(f"Processing stock: {clean_code} - {stock_name}")  # 调试输出
 
-                    # **修正：处理正确的数据格式 [股票代码, 股票名称, 描述, 分数]**
-                    for stock_info in stock_data:
-                        if isinstance(stock_info, list) and len(stock_info) >= 2:
-                            stock_code = stock_info[0]  # 第一个元素是股票代码
-                            stock_name = stock_info[1]  # 第二个元素是股票名称
-                            description = stock_info[2] if len(stock_info) > 2 else ''
-                            score = stock_info[3] if len(stock_info) > 3 else 0
-                        else:
-                            continue  # 跳过格式不正确的数据
+                        # 使用模糊匹配LIKE查询申万一级行业F004V
+                        sector_query = """
+                                       SELECT F004V as sw_primary_sector
+                                       FROM ea_sector
+                                       WHERE SECCODE LIKE :stock_code_pattern
+                                         AND F002V = '申银万国行业分类' LIMIT 1 \
+                                       """
+                        sector_result = db.session.execute(text(sector_query),
+                                                           {'stock_code_pattern': f'{clean_code}%'})
+                        sector_row = sector_result.fetchone()
 
-                        if stock_code:
-                            # 规范化股票代码，移除后缀
-                            clean_code = stock_code.replace('.SZ', '').replace('.SH', '').replace('.BJ', '')
+                        # 根据申万一级行业（F004V）映射到主板块
+                        sw_primary_sector = sector_row.sw_primary_sector if sector_row else None
+                        primary_sector = sector_map.get(sw_primary_sector, '其他') if sw_primary_sector else '其他'
 
-                            print(f"Processing stock: {clean_code} - {stock_name}")  # 调试输出
+                        print(
+                            f"Stock: {clean_code}, SW Primary: {sw_primary_sector}, Primary Sector: {primary_sector}")
 
-                            # 使用模糊匹配LIKE查询申万一级行业F004V
-                            sector_query = """
-                                           SELECT F004V as sw_primary_sector
-                                           FROM ea_sector
-                                           WHERE SECCODE LIKE :stock_code_pattern
-                                             AND F002V = '申银万国行业分类' LIMIT 1 \
-                                           """
-                            sector_result = db.session.execute(text(sector_query),
-                                                               {'stock_code_pattern': f'{clean_code}%'})
-                            sector_row = sector_result.fetchone()
+                        # 通过SQL查询获取真实的日涨跌幅和周涨跌幅
+                        trade_query = """
+                                      SELECT F007N as close_price, F010N as change_pct, TRADEDATE
+                                      FROM ea_trade
+                                      WHERE SECCODE LIKE :stock_code_pattern
+                                      ORDER BY TRADEDATE DESC LIMIT 7 \
+                                      """
+                        trade_result = db.session.execute(text(trade_query),
+                                                          {'stock_code_pattern': f'{clean_code}%'})
+                        trade_data = trade_result.fetchall()
 
-                            # 根据申万一级行业（F004V）映射到主板块
-                            sw_primary_sector = sector_row.sw_primary_sector if sector_row else None
-                            primary_sector = sector_map.get(sw_primary_sector, '其他') if sw_primary_sector else '其他'
+                        daily_chg = 0
+                        week_chg = 0
 
-                            print(
-                                f"Stock: {clean_code}, SW Primary: {sw_primary_sector}, Primary Sector: {primary_sector}")
+                        if trade_data:
+                            # 日涨跌幅（当日）
+                            daily_chg = float(trade_data[0].change_pct or 0)
 
-                            # 通过SQL查询获取真实的日涨跌幅和周涨跌幅
-                            trade_query = """
-                                          SELECT F007N as close_price, F010N as change_pct, TRADEDATE
-                                          FROM ea_trade
-                                          WHERE SECCODE LIKE :stock_code_pattern
-                                          ORDER BY TRADEDATE DESC LIMIT 7 \
-                                          """
-                            trade_result = db.session.execute(text(trade_query),
-                                                              {'stock_code_pattern': f'{clean_code}%'})
-                            trade_data = trade_result.fetchall()
+                            # 周涨跌幅（5个交易日）
+                            if len(trade_data) >= 5:
+                                current_price = float(trade_data[0].close_price or 0)
+                                week_ago_price = float(trade_data[4].close_price or 0)
+                                if week_ago_price > 0:
+                                    week_chg = ((current_price - week_ago_price) / week_ago_price) * 100
 
-                            daily_chg = 0
-                            week_chg = 0
+                        print(
+                            f"Trade data found: {len(trade_data) if trade_data else 0} records, daily_chg: {daily_chg}")
 
-                            if trade_data:
-                                # 日涨跌幅（当日）
-                                daily_chg = float(trade_data[0].change_pct or 0)
+                        # 统计各分类数量
+                        sector_stats['全部股票'] += 1
+                        sector_stats[primary_sector] += 1
 
-                                # 周涨跌幅（5个交易日）
-                                if len(trade_data) >= 5:
-                                    current_price = float(trade_data[0].close_price or 0)
-                                    week_ago_price = float(trade_data[4].close_price or 0)
-                                    if week_ago_price > 0:
-                                        week_chg = ((current_price - week_ago_price) / week_ago_price) * 100
+                        # 收集涨跌幅数据
+                        daily_changes.append(daily_chg)
+                        week_changes.append(week_chg)
 
-                            print(
-                                f"Trade data found: {len(trade_data) if trade_data else 0} records, daily_chg: {daily_chg}")
+                        related_stocks_list.append({
+                            'code': stock_code,  # 原始股票代码
+                            'name': stock_name,  # 股票名称
+                            'description': description,  # 关联描述
+                            'score': score,  # 关联分数
+                            'sw_primary_sector': sw_primary_sector,  # 申万一级行业（F004V）
+                            'primary_sector': primary_sector,  # 主板块分类
+                            'daily_change': daily_chg,  # 真实的日涨跌幅
+                            'week_change': week_chg,  # 真实的周涨跌幅
+                            'report': report  # 研报引用信息（新字段）
+                        })
 
-                            # 统计各分类数量
-                            sector_stats['全部股票'] += 1
-                            sector_stats[primary_sector] += 1
+                # 计算平均收益率
+                if daily_changes:
+                    related_avg_chg = sum(daily_changes) / len(daily_changes)
+                    related_max_chg = max(daily_changes)
 
-                            # 收集涨跌幅数据
-                            daily_changes.append(daily_chg)
-                            week_changes.append(week_chg)
-
-                            related_stocks_list.append({
-                                'code': stock_code,  # 原始股票代码
-                                'name': stock_name,  # 股票名称
-                                'description': description,  # 关联描述
-                                'score': score,  # 关联分数
-                                'sw_primary_sector': sw_primary_sector,  # 申万一级行业（F004V）
-                                'primary_sector': primary_sector,  # 主板块分类
-                                'daily_change': daily_chg,  # 真实的日涨跌幅
-                                'week_change': week_chg  # 真实的周涨跌幅
-                            })
-
-                    # 计算平均收益率
-                    if daily_changes:
-                        related_avg_chg = sum(daily_changes) / len(daily_changes)
-                        related_max_chg = max(daily_changes)
-
-                    if week_changes:
-                        related_week_chg = sum(week_changes) / len(week_changes)
+                if week_changes:
+                    related_week_chg = sum(week_changes) / len(week_changes)
 
             except Exception as e:
                 print(f"Error processing related stocks: {e}")
                 import traceback
                 traceback.print_exc()
 
-        # 构建返回数据
+        # 构建返回数据，使用新字段回退后的值
         detail_data = {
             'id': event.data_id,
             'title': event.title,
             'type': event.type,
             'star': event.star,
             'calendar_time': event.calendar_time.isoformat() if event.calendar_time else None,
-            'former': event.former,
-            'forecast': event.forecast,
+            'former': former_value,  # 使用回退后的值（优先 second_modified_text）
+            'forecast': forecast_value,  # 使用回退后的值（优先 second_modified_text.1）
             'fact': event.fact,
             'concepts': event.concepts,
             'extracted_concepts': extracted_concepts,

requirements.txt

@@ -6,6 +6,8 @@ Flask-Compress==1.14
 Flask-SocketIO==5.3.6
 Flask-Mail==0.9.1
 Flask-Migrate==4.0.5
+Flask-Session==0.5.0
+redis==5.0.1
 pandas==2.0.3
 numpy==1.24.3
 requests==2.31.0

src/bytedesk-integration/config/bytedesk.config.js

@@ -35,6 +35,13 @@ export const bytedeskConfig = {
     subtitle: '点击咨询', // 副标题
   },
 
+  // 按钮大小配置
+  buttonConfig: {
+    show: true,
+    width: 40,
+    height: 40,
+  },
+
   // 主题配置
   theme: {
     mode: 'system', // light | dark | system

src/components/Navbars/components/UserMenu/TabletUserMenu.js

@@ -18,7 +18,6 @@ import { FiStar, FiCalendar, FiUser, FiSettings, FiHome, FiLogOut } from 'react-
 import { FaCrown } from 'react-icons/fa';
 import { useNavigate } from 'react-router-dom';
 import UserAvatar from './UserAvatar';
-import SubscriptionModal from '../../../Subscription/SubscriptionModal';
 import { useSubscription } from '../../../../hooks/useSubscription';
 
 /**
@@ -38,12 +37,7 @@ const TabletUserMenu = memo(({
     followingEvents
 }) => {
     const navigate = useNavigate();
-    const {
-        subscriptionInfo,
-        isSubscriptionModalOpen,
-        openSubscriptionModal,
-        closeSubscriptionModal
-    } = useSubscription();
+    const { subscriptionInfo } = useSubscription();
 
     const borderColor = useColorModeValue('gray.200', 'gray.600');
 
@@ -90,8 +84,8 @@ const TabletUserMenu = memo(({
                         )}
                     </Box>
 
-                    {/* 订阅管理 */}
-                    <MenuItem icon={<FaCrown />} onClick={openSubscriptionModal}>
+                    {/* 订阅管理 - 移动端导航到订阅页面 */}
+                    <MenuItem icon={<FaCrown />} onClick={() => navigate('/home/pages/account/subscription')}>
                         <Flex justify="space-between" align="center" w="100%">
                             <Text>订阅管理</Text>
                             <Badge colorScheme={getSubscriptionBadgeColor()}>
@@ -149,14 +143,6 @@ const TabletUserMenu = memo(({
                 </MenuList>
             </Menu>
 
-            {/* 订阅弹窗 */}
-            {isSubscriptionModalOpen && (
-                <SubscriptionModal
-                    isOpen={isSubscriptionModalOpen}
-                    onClose={closeSubscriptionModal}
-                    subscriptionInfo={subscriptionInfo}
-                />
-            )}
         </>
     );
 });

src/components/PerformancePanel.tsx

@@ -100,7 +100,7 @@ export const PerformancePanel: React.FC = () => {
         aria-label="Open performance panel"
         icon={<MdSpeed />}
         position="fixed"
-        bottom="20px"
+        bottom="100px"
         right="20px"
         colorScheme="blue"
         size="lg"

src/components/Subscription/SubscriptionContent.js

@@ -1049,10 +1049,26 @@ export default function SubscriptionContent() {
                     </Text>
                   </HStack>
                 </Flex>
-                <Flex justify="space-between" align="center" flexWrap="wrap" gap={2}>
-                  <Text fontSize="xs" color={secondaryText} pl={11} flex={1}>
-                    {plan.description}
-                  </Text>
+                <Flex justify="space-between" align="flex-start" flexWrap="wrap" gap={2}>
+                  <VStack align="start" spacing={0.5} pl={11} flex={1}>
+                    {plan.description && plan.description.includes('|') ? (
+                      plan.description.split('|').map((item, idx) => (
+                        <Text
+                          key={idx}
+                          fontSize="sm"
+                          color={plan.name === 'max' ? 'purple.600' : 'blue.600'}
+                          lineHeight="1.5"
+                          fontWeight="medium"
+                        >
+                          ✓ {item.trim()}
+                        </Text>
+                      ))
+                    ) : (
+                      <Text fontSize="xs" color={secondaryText}>
+                        {plan.description}
+                      </Text>
+                    )}
+                  </VStack>
                   {(() => {
                     // 获取当前选中的周期信息
                     if (plan.pricing_options) {

src/components/Subscription/SubscriptionContentNew.tsx

@@ -22,6 +22,7 @@ import {
   Input,
   Icon,
   Container,
+  useBreakpointValue,
 } from '@chakra-ui/react';
 import {
   FaWeixin,
@@ -42,6 +43,87 @@ import { useAuth } from '../../contexts/AuthContext';
 import { useSubscriptionEvents } from '../../hooks/useSubscriptionEvents';
 import { subscriptionConfig, themeColors } from '../../views/Pages/Account/subscription-content';
 
+// 计费周期选择器组件 - 移动端垂直布局（年付在上），桌面端水平布局
+interface CycleSelectorProps {
+  options: any[];
+  selectedCycle: string;
+  onSelectCycle: (cycle: string) => void;
+}
+
+function CycleSelector({ options, selectedCycle, onSelectCycle }: CycleSelectorProps) {
+  // 使用 useBreakpointValue 动态获取是否是移动端
+  const isMobile = useBreakpointValue({ base: true, md: false });
+
+  // 移动端倒序显示（年付在上），桌面端正常顺序
+  const displayOptions = isMobile ? [...options].reverse() : options;
+
+  return (
+    <Flex
+      direction={{ base: 'column', md: 'row' }}
+      gap={3}
+      p={2}
+      bg="rgba(255, 255, 255, 0.03)"
+      borderRadius="xl"
+      border="1px solid"
+      borderColor="rgba(255, 255, 255, 0.1)"
+      backdropFilter="blur(10px)"
+      justify="center"
+      align="center"
+      w={{ base: 'full', md: 'auto' }}
+      maxW={{ base: '320px', md: 'none' }}
+      mx="auto"
+    >
+      {displayOptions.map((option: any) => (
+        <Box key={option.cycleKey} position="relative" w={{ base: 'full', md: 'auto' }}>
+          {option.discountPercent > 0 && (
+            <Badge
+              position="absolute"
+              top={{ base: '50%', md: '-10px' }}
+              right={{ base: '10px', md: '-10px' }}
+              transform={{ base: 'translateY(-50%)', md: 'none' }}
+              colorScheme="red"
+              fontSize="xs"
+              px={2}
+              py={1}
+              borderRadius="full"
+              fontWeight="bold"
+              zIndex={1}
+            >
+              省{option.discountPercent}%
+            </Badge>
+          )}
+
+          <Button
+            size="lg"
+            w={{ base: 'full', md: 'auto' }}
+            px={6}
+            py={6}
+            borderRadius="lg"
+            bg={selectedCycle === option.cycleKey ? 'linear-gradient(135deg, #D4AF37, #B8941F)' : 'transparent'}
+            color={selectedCycle === option.cycleKey ? '#000' : '#fff'}
+            border="1px solid"
+            borderColor={selectedCycle === option.cycleKey ? 'rgba(212, 175, 55, 0.3)' : 'rgba(255, 255, 255, 0.1)'}
+            onClick={() => onSelectCycle(option.cycleKey)}
+            _hover={{
+              transform: 'translateY(-2px)',
+              borderColor: 'rgba(212, 175, 55, 0.5)',
+              shadow: selectedCycle === option.cycleKey
+                ? '0 0 20px rgba(212, 175, 55, 0.3)'
+                : '0 4px 12px rgba(0, 0, 0, 0.5)',
+            }}
+            transition="all 0.3s"
+            fontWeight="bold"
+            justifyContent={{ base: 'flex-start', md: 'center' }}
+            pl={{ base: 6, md: 6 }}
+          >
+            {option.label}
+          </Button>
+        </Box>
+      ))}
+    </Flex>
+  );
+}
+
 export default function SubscriptionContentNew() {
   const { user } = useAuth();
   const subscriptionEvents = useSubscriptionEvents({
@@ -751,61 +833,11 @@ export default function SubscriptionContentNew() {
             选择计费周期 · 时长越长优惠越大
           </Text>
 
-          <HStack
-            spacing={3}
-            p={2}
-            bg="rgba(255, 255, 255, 0.03)"
-            borderRadius="xl"
-            border="1px solid"
-            borderColor="rgba(255, 255, 255, 0.1)"
-            backdropFilter="blur(10px)"
-            flexWrap="wrap"
-            justify="center"
-          >
-            {getMergedPlans()[1]?.pricingOptions?.map((option: any, index: number) => (
-              <Box key={index} position="relative">
-                {option.discountPercent > 0 && (
-                  <Badge
-                    position="absolute"
-                    top="-10px"
-                    right="-10px"
-                    colorScheme="red"
-                    fontSize="xs"
-                    px={2}
-                    py={1}
-                    borderRadius="full"
-                    fontWeight="bold"
-                    zIndex={1}
-                  >
-                    省{option.discountPercent}%
-                  </Badge>
-                )}
-
-                <Button
-                  size="lg"
-                  px={6}
-                  py={6}
-                  borderRadius="lg"
-                  bg={selectedCycle === option.cycleKey ? 'linear-gradient(135deg, #D4AF37, #B8941F)' : 'transparent'}
-                  color={selectedCycle === option.cycleKey ? '#000' : '#fff'}
-                  border="1px solid"
-                  borderColor={selectedCycle === option.cycleKey ? 'rgba(212, 175, 55, 0.3)' : 'rgba(255, 255, 255, 0.1)'}
-                  onClick={() => setSelectedCycle(option.cycleKey)}
-                  _hover={{
-                    transform: 'translateY(-2px)',
-                    borderColor: 'rgba(212, 175, 55, 0.5)',
-                    shadow: selectedCycle === option.cycleKey
-                      ? '0 0 20px rgba(212, 175, 55, 0.3)'
-                      : '0 4px 12px rgba(0, 0, 0, 0.5)',
-                  }}
-                  transition="all 0.3s"
-                  fontWeight="bold"
-                >
-                  {option.label}
-                </Button>
-              </Box>
-            ))}
-          </HStack>
+          <CycleSelector
+            options={getMergedPlans()[1]?.pricingOptions || []}
+            selectedCycle={selectedCycle}
+            onSelectCycle={setSelectedCycle}
+          />
 
           {(() => {
             const currentOption = getMergedPlans()[1]?.pricingOptions?.find(

src/hooks/useIndexQuote.js

@@ -0,0 +1,261 @@
+// src/hooks/useIndexQuote.js
+// 指数实时行情 Hook - 交易时间内每分钟自动更新
+
+import { useState, useEffect, useCallback, useRef } from 'react';
+import { logger } from '../utils/logger';
+
+// 交易日数据会从后端获取，这里只做时间判断
+const TRADING_SESSIONS = [
+  { start: { hour: 9, minute: 30 }, end: { hour: 11, minute: 30 } },
+  { start: { hour: 13, minute: 0 }, end: { hour: 15, minute: 0 } },
+];
+
+/**
+ * 判断当前时间是否在交易时段内
+ */
+const isInTradingSession = () => {
+  const now = new Date();
+  const currentMinutes = now.getHours() * 60 + now.getMinutes();
+
+  return TRADING_SESSIONS.some(session => {
+    const startMinutes = session.start.hour * 60 + session.start.minute;
+    const endMinutes = session.end.hour * 60 + session.end.minute;
+    return currentMinutes >= startMinutes && currentMinutes <= endMinutes;
+  });
+};
+
+/**
+ * 获取指数实时行情
+ */
+const fetchIndexRealtime = async (indexCode) => {
+  try {
+    const response = await fetch(`/api/index/${indexCode}/realtime`);
+    if (!response.ok) {
+      throw new Error(`HTTP error! status: ${response.status}`);
+    }
+    const result = await response.json();
+    if (result.success && result.data) {
+      return result.data;
+    }
+    return null;
+  } catch (error) {
+    logger.error('useIndexQuote', 'fetchIndexRealtime error', { indexCode, error: error.message });
+    return null;
+  }
+};
+
+/**
+ * 指数实时行情 Hook
+ *
+ * @param {string} indexCode - 指数代码，如 '000001' (上证指数) 或 '399001' (深证成指)
+ * @param {Object} options - 配置选项
+ * @param {number} options.refreshInterval - 刷新间隔（毫秒），默认 60000（1分钟）
+ * @param {boolean} options.autoRefresh - 是否自动刷新，默认 true
+ *
+ * @returns {Object} { quote, loading, error, isTrading, refresh }
+ */
+export const useIndexQuote = (indexCode, options = {}) => {
+  const {
+    refreshInterval = 60000, // 默认1分钟
+    autoRefresh = true,
+  } = options;
+
+  const [quote, setQuote] = useState(null);
+  const [loading, setLoading] = useState(true);
+  const [error, setError] = useState(null);
+  const [isTrading, setIsTrading] = useState(false);
+
+  const intervalRef = useRef(null);
+  const isMountedRef = useRef(true);
+
+  // 加载数据
+  const loadQuote = useCallback(async () => {
+    if (!indexCode) return;
+
+    try {
+      const data = await fetchIndexRealtime(indexCode);
+
+      if (!isMountedRef.current) return;
+
+      if (data) {
+        setQuote(data);
+        setIsTrading(data.is_trading);
+        setError(null);
+      } else {
+        setError('无法获取行情数据');
+      }
+    } catch (err) {
+      if (isMountedRef.current) {
+        setError(err.message);
+      }
+    } finally {
+      if (isMountedRef.current) {
+        setLoading(false);
+      }
+    }
+  }, [indexCode]);
+
+  // 手动刷新
+  const refresh = useCallback(() => {
+    setLoading(true);
+    loadQuote();
+  }, [loadQuote]);
+
+  // 初始加载
+  useEffect(() => {
+    isMountedRef.current = true;
+    loadQuote();
+
+    return () => {
+      isMountedRef.current = false;
+    };
+  }, [loadQuote]);
+
+  // 自动刷新逻辑
+  useEffect(() => {
+    if (!autoRefresh || !indexCode) return;
+
+    // 清除旧的定时器
+    if (intervalRef.current) {
+      clearInterval(intervalRef.current);
+      intervalRef.current = null;
+    }
+
+    // 设置定时器，检查是否在交易时间内
+    const checkAndRefresh = () => {
+      const inSession = isInTradingSession();
+      setIsTrading(inSession);
+
+      if (inSession) {
+        loadQuote();
+      }
+    };
+
+    // 立即检查一次
+    checkAndRefresh();
+
+    // 设置定时刷新
+    intervalRef.current = setInterval(checkAndRefresh, refreshInterval);
+
+    return () => {
+      if (intervalRef.current) {
+        clearInterval(intervalRef.current);
+        intervalRef.current = null;
+      }
+    };
+  }, [autoRefresh, indexCode, refreshInterval, loadQuote]);
+
+  return {
+    quote,
+    loading,
+    error,
+    isTrading,
+    refresh,
+  };
+};
+
+/**
+ * 批量获取多个指数的实时行情
+ *
+ * @param {string[]} indexCodes - 指数代码数组
+ * @param {Object} options - 配置选项
+ */
+export const useMultiIndexQuotes = (indexCodes = [], options = {}) => {
+  const {
+    refreshInterval = 60000,
+    autoRefresh = true,
+  } = options;
+
+  const [quotes, setQuotes] = useState({});
+  const [loading, setLoading] = useState(true);
+  const [isTrading, setIsTrading] = useState(false);
+
+  const intervalRef = useRef(null);
+  const isMountedRef = useRef(true);
+
+  // 批量加载数据
+  const loadQuotes = useCallback(async () => {
+    if (!indexCodes || indexCodes.length === 0) return;
+
+    try {
+      const results = await Promise.all(
+        indexCodes.map(code => fetchIndexRealtime(code))
+      );
+
+      if (!isMountedRef.current) return;
+
+      const newQuotes = {};
+      let hasTrading = false;
+
+      results.forEach((data, idx) => {
+        if (data) {
+          newQuotes[indexCodes[idx]] = data;
+          if (data.is_trading) hasTrading = true;
+        }
+      });
+
+      setQuotes(newQuotes);
+      setIsTrading(hasTrading);
+    } catch (err) {
+      logger.error('useMultiIndexQuotes', 'loadQuotes error', err);
+    } finally {
+      if (isMountedRef.current) {
+        setLoading(false);
+      }
+    }
+  }, [indexCodes]);
+
+  // 手动刷新
+  const refresh = useCallback(() => {
+    setLoading(true);
+    loadQuotes();
+  }, [loadQuotes]);
+
+  // 初始加载
+  useEffect(() => {
+    isMountedRef.current = true;
+    loadQuotes();
+
+    return () => {
+      isMountedRef.current = false;
+    };
+  }, [loadQuotes]);
+
+  // 自动刷新逻辑
+  useEffect(() => {
+    if (!autoRefresh || indexCodes.length === 0) return;
+
+    if (intervalRef.current) {
+      clearInterval(intervalRef.current);
+      intervalRef.current = null;
+    }
+
+    const checkAndRefresh = () => {
+      const inSession = isInTradingSession();
+      setIsTrading(inSession);
+
+      if (inSession) {
+        loadQuotes();
+      }
+    };
+
+    checkAndRefresh();
+    intervalRef.current = setInterval(checkAndRefresh, refreshInterval);
+
+    return () => {
+      if (intervalRef.current) {
+        clearInterval(intervalRef.current);
+        intervalRef.current = null;
+      }
+    };
+  }, [autoRefresh, indexCodes, refreshInterval, loadQuotes]);
+
+  return {
+    quotes,
+    loading,
+    isTrading,
+    refresh,
+  };
+};
+
+export default useIndexQuote;

src/mocks/handlers/account.js

@@ -696,4 +696,81 @@ export const accountHandlers = [
       }
     });
   }),
+
+  // 21. 获取订阅套餐列表
+  http.get('/api/subscription/plans', async () => {
+    await delay(NETWORK_DELAY);
+
+    const plans = [
+      {
+        id: 1,
+        name: 'pro',
+        display_name: 'Pro 专业版',
+        description: '事件关联股票深度分析 | 历史事件智能对比复盘 | 事件概念关联与挖掘 | 概念板块个股追踪 | 概念深度研报与解读 | 个股异动实时预警',
+        monthly_price: 299,
+        yearly_price: 2699,
+        pricing_options: [
+          { cycle_key: 'monthly', label: '月付', months: 1, price: 299, original_price: null, discount_percent: 0 },
+          { cycle_key: 'quarterly', label: '季付', months: 3, price: 799, original_price: 897, discount_percent: 11 },
+          { cycle_key: 'semiannual', label: '半年付', months: 6, price: 1499, original_price: 1794, discount_percent: 16 },
+          { cycle_key: 'yearly', label: '年付', months: 12, price: 2699, original_price: 3588, discount_percent: 25 }
+        ],
+        features: [
+          '新闻信息流',
+          '历史事件对比',
+          '事件传导链分析(AI)',
+          '事件-相关标的分析',
+          '相关概念展示',
+          'AI复盘功能',
+          '企业概览',
+          '个股深度分析(AI) - 50家/月',
+          '高效数据筛选工具',
+          '概念中心(548大概念)',
+          '历史时间轴查询 - 100天',
+          '涨停板块数据分析',
+          '个股涨停分析'
+        ],
+        sort_order: 1
+      },
+      {
+        id: 2,
+        name: 'max',
+        display_name: 'Max 旗舰版',
+        description: '包含Pro版全部功能 | 事件传导链路智能分析 | 概念演变时间轴追溯 | 个股全方位深度研究 | 价小前投研助手无限使用 | 新功能优先体验权 | 专属客服一对一服务',
+        monthly_price: 599,
+        yearly_price: 5399,
+        pricing_options: [
+          { cycle_key: 'monthly', label: '月付', months: 1, price: 599, original_price: null, discount_percent: 0 },
+          { cycle_key: 'quarterly', label: '季付', months: 3, price: 1599, original_price: 1797, discount_percent: 11 },
+          { cycle_key: 'semiannual', label: '半年付', months: 6, price: 2999, original_price: 3594, discount_percent: 17 },
+          { cycle_key: 'yearly', label: '年付', months: 12, price: 5399, original_price: 7188, discount_percent: 25 }
+        ],
+        features: [
+          '新闻信息流',
+          '历史事件对比',
+          '事件传导链分析(AI)',
+          '事件-相关标的分析',
+          '相关概念展示',
+          '板块深度分析(AI)',
+          'AI复盘功能',
+          '企业概览',
+          '个股深度分析(AI) - 无限制',
+          '高效数据筛选工具',
+          '概念中心(548大概念)',
+          '历史时间轴查询 - 无限制',
+          '概念高频更新',
+          '涨停板块数据分析',
+          '个股涨停分析'
+        ],
+        sort_order: 2
+      }
+    ];
+
+    console.log('[Mock] 获取订阅套餐列表:', plans.length, '个套餐');
+
+    return HttpResponse.json({
+      success: true,
+      data: plans
+    });
+  }),
 ];

src/styles/bytedesk-override.css

@@ -23,6 +23,10 @@ iframe[src*="/chat/"],
 iframe[src*="/visitor/"] {
   position: fixed !important;
   z-index: 999999 !important;
+  max-height: 80vh !important;  /* 限制最大高度为视口的80% */
+  max-width: 40vh !important;  /* 限制最大高度为视口的80% */
+  bottom: 10px !important;      /* 确保底部有足够空间 */
+  right: 10px !important;       /* 右侧边距 */
 }
 
 /* Bytedesk 覆盖层（如果存在） */
@@ -37,16 +41,6 @@ iframe[src*="/visitor/"] {
   z-index: 1000000 !important;
 }
 
-/* ========== H5 端客服组件整体缩小 ========== */
-@media (max-width: 768px) {
-  /* 整个客服容器缩小（包括按钮和提示框） */
-  [class*="bytedesk"],
-  [id*="bytedesk"],
-  [class*="BytedeskWeb"] {
-    transform: scale(0.7) !important;
-    transform-origin: bottom right !important;
-  }
-}
 
 /* ========== 提示框 3 秒后自动消失 ========== */
 /* 提示框（"在线客服 点击咨询"气泡）- 扩展选择器 */

src/views/Community/components/HeroPanel.js

@@ -1,5 +1,6 @@
 // src/views/Community/components/HeroPanel.js
 // 顶部说明面板组件：事件中心 + 沪深指数K线图 + 热门概念3D动画
+// 交易时间内自动更新指数行情（每分钟一次）
 
 import React, { useEffect, useState, useMemo, useCallback, useRef } from 'react';
 import {
@@ -22,10 +23,12 @@ import {
   ModalHeader,
   ModalBody,
   ModalCloseButton,
+  Tooltip,
 } from '@chakra-ui/react';
-import { AlertCircle, Clock, TrendingUp, Info } from 'lucide-react';
+import { AlertCircle, Clock, TrendingUp, Info, RefreshCw } from 'lucide-react';
 import ReactECharts from 'echarts-for-react';
 import { logger } from '../../../utils/logger';
+import { useIndexQuote } from '../../../hooks/useIndexQuote';
 
 // 定义动画
 const animations = `
@@ -104,6 +107,7 @@ const isInTradingTime = () => {
 
 /**
  * 精美K线指数卡片 - 类似 KLineChartModal 风格
+ * 交易时间内自动更新实时行情（每分钟一次）
  */
 const CompactIndexCard = ({ indexCode, indexName }) => {
   const [chartData, setChartData] = useState(null);
@@ -113,38 +117,66 @@ const CompactIndexCard = ({ indexCode, indexName }) => {
   const upColor = '#ef5350';   // 涨 - 红色
   const downColor = '#26a69a'; // 跌 - 绿色
 
-  const loadData = useCallback(async () => {
+  // 使用实时行情 Hook - 交易时间内每分钟自动更新
+  const { quote, isTrading, refresh: refreshQuote } = useIndexQuote(indexCode, {
+    refreshInterval: 60000, // 1分钟
+    autoRefresh: true,
+  });
+
+  // 加载日K线图数据
+  const loadChartData = useCallback(async () => {
     const data = await fetchIndexKline(indexCode);
     if (data?.data?.length > 0) {
-      const latest = data.data[data.data.length - 1];
-      const prevClose = latest.prev_close || data.data[data.data.length - 2]?.close || latest.open;
-      const changeAmount = latest.close - prevClose;
-      const changePct = prevClose ? ((changeAmount / prevClose) * 100) : 0;
-
-      setLatestData({
-        close: latest.close,
-        open: latest.open,
-        high: latest.high,
-        low: latest.low,
-        changeAmount: changeAmount,
-        changePct: changePct,
-        isPositive: changeAmount >= 0
-      });
-
-      const recentData = data.data.slice(-60); // 增加到60天
+      const recentData = data.data.slice(-60); // 最近60天
       setChartData({
         dates: recentData.map(item => item.time),
         klineData: recentData.map(item => [item.open, item.close, item.low, item.high]),
         volumes: recentData.map(item => item.volume || 0),
         rawData: recentData
       });
+
+      // 如果没有实时行情，使用日线数据的最新值
+      if (!quote) {
+        const latest = data.data[data.data.length - 1];
+        const prevClose = latest.prev_close || data.data[data.data.length - 2]?.close || latest.open;
+        const changeAmount = latest.close - prevClose;
+        const changePct = prevClose ? ((changeAmount / prevClose) * 100) : 0;
+
+        setLatestData({
+          close: latest.close,
+          open: latest.open,
+          high: latest.high,
+          low: latest.low,
+          changeAmount: changeAmount,
+          changePct: changePct,
+          isPositive: changeAmount >= 0
+        });
+      }
     }
     setLoading(false);
-  }, [indexCode]);
+  }, [indexCode, quote]);
 
+  // 初始加载日K数据
   useEffect(() => {
-    loadData();
-  }, [loadData]);
+    loadChartData();
+  }, [loadChartData]);
+
+  // 当实时行情更新时，更新 latestData
+  useEffect(() => {
+    if (quote) {
+      setLatestData({
+        close: quote.price,
+        open: quote.open,
+        high: quote.high,
+        low: quote.low,
+        changeAmount: quote.change,
+        changePct: quote.change_pct,
+        isPositive: quote.change >= 0,
+        updateTime: quote.update_time,
+        isRealtime: true,
+      });
+    }
+  }, [quote]);
 
   const chartOption = useMemo(() => {
     if (!chartData) return {};
@@ -306,6 +338,30 @@ const CompactIndexCard = ({ indexCode, indexName }) => {
           <Text fontSize="sm" color="whiteAlpha.800" fontWeight="semibold">
             {indexName}
           </Text>
+          {/* 实时状态指示 */}
+          {isTrading && latestData?.isRealtime && (
+            <Tooltip label="实时行情，每分钟更新" placement="top">
+              <HStack
+                spacing={1}
+                px={1.5}
+                py={0.5}
+                bg="rgba(0,218,60,0.1)"
+                borderRadius="full"
+                border="1px solid rgba(0,218,60,0.3)"
+              >
+                <Box
+                  w="5px"
+                  h="5px"
+                  borderRadius="full"
+                  bg="#00da3c"
+                  animation="pulse 1.5s infinite"
+                />
+                <Text fontSize="9px" color="#00da3c" fontWeight="bold">
+                  实时
+                </Text>
+              </HStack>
+            </Tooltip>
+          )}
         </HStack>
         <HStack spacing={3}>
           <Text fontSize="lg" fontWeight="bold" color="white" fontFamily="monospace">
@@ -338,16 +394,22 @@ const CompactIndexCard = ({ indexCode, indexName }) => {
           style={{ height: '100%', width: '100%' }}
           opts={{ renderer: 'canvas' }}
         />
-        {/* 底部提示 */}
-        <Text
+        {/* 底部提示 - 显示更新时间 */}
+        <HStack
           position="absolute"
           bottom={0}
           right={1}
-          fontSize="9px"
-          color="whiteAlpha.300"
+          spacing={2}
         >
-          滚轮缩放 · 拖动查看
-        </Text>
+          {latestData?.updateTime && (
+            <Text fontSize="9px" color="whiteAlpha.400">
+              {latestData.updateTime}
+            </Text>
+          )}
+          <Text fontSize="9px" color="whiteAlpha.300">
+            滚轮缩放 · 拖动查看
+          </Text>
+        </HStack>
       </Box>
     </Flex>
   );

src/views/Pages/Account/subscription-content.tsx

@@ -27,7 +27,7 @@ export const subscriptionConfig = {
     {
       name: 'pro',
       displayName: 'Pro 专业版',
-      description: '为专业投资者打造,解锁高级分析功能',
+      description: '事件关联股票深度分析\n历史事件智能对比复盘\n事件概念关联与挖掘\n概念板块个股追踪\n概念深度研报与解读\n个股异动实时预警',
       icon: 'gem',
       badge: '推荐',
       badgeColor: 'gold',
@@ -68,27 +68,18 @@ export const subscriptionConfig = {
         },
       ],
       features: [
-        { name: '新闻信息流', enabled: true },
-        { name: '历史事件对比', enabled: true },
-        { name: '事件传导链分析(AI)', enabled: true },
-        { name: '事件-相关标的分析', enabled: true },
-        { name: '相关概念展示', enabled: true },
-        { name: 'AI复盘功能', enabled: true },
-        { name: '企业概览', enabled: true },
-        { name: '个股深度分析(AI)', enabled: true, limit: '50家/月' },
-        { name: '高效数据筛选工具', enabled: true },
-        { name: '概念中心(548大概念)', enabled: true },
-        { name: '历史时间轴查询', enabled: true, limit: '100天' },
-        { name: '涨停板块数据分析', enabled: true },
-        { name: '个股涨停分析', enabled: true },
-        { name: '板块深度分析(AI)', enabled: false },
-        { name: '概念高频更新', enabled: false },
+        { name: '事件关联股票深度分析', enabled: true },
+        { name: '历史事件智能对比复盘', enabled: true },
+        { name: '事件概念关联与挖掘', enabled: true },
+        { name: '概念板块个股追踪', enabled: true },
+        { name: '概念深度研报与解读', enabled: true },
+        { name: '个股异动实时预警', enabled: true },
       ],
     },
     {
       name: 'max',
       displayName: 'Max 旗舰版',
-      description: '旗舰级体验,无限制使用所有功能',
+      description: '包含Pro版全部功能\n事件传导链路智能分析\n概念演变时间轴追溯\n个股全方位深度研究\n价小前投研助手无限使用\n新功能优先体验权\n专属客服一对一服务',
       icon: 'crown',
       badge: '最受欢迎',
       badgeColor: 'gold',
@@ -129,21 +120,13 @@ export const subscriptionConfig = {
         },
       ],
       features: [
-        { name: '新闻信息流', enabled: true },
-        { name: '历史事件对比', enabled: true },
-        { name: '事件传导链分析(AI)', enabled: true },
-        { name: '事件-相关标的分析', enabled: true },
-        { name: '相关概念展示', enabled: true },
-        { name: '板块深度分析(AI)', enabled: true },
-        { name: 'AI复盘功能', enabled: true },
-        { name: '企业概览', enabled: true },
-        { name: '个股深度分析(AI)', enabled: true, limit: '无限制' },
-        { name: '高效数据筛选工具', enabled: true },
-        { name: '概念中心(548大概念)', enabled: true },
-        { name: '历史时间轴查询', enabled: true, limit: '无限制' },
-        { name: '概念高频更新', enabled: true },
-        { name: '涨停板块数据分析', enabled: true },
-        { name: '个股涨停分析', enabled: true },
+        { name: '包含Pro版全部功能', enabled: true },
+        { name: '事件传导链路智能分析', enabled: true },
+        { name: '概念演变时间轴追溯', enabled: true },
+        { name: '个股全方位深度研究', enabled: true },
+        { name: '价小前投研助手无限使用', enabled: true },
+        { name: '新功能优先体验权', enabled: true },
+        { name: '专属客服一对一服务', enabled: true },
       ],
     },
   ],