update

app/api/endpoints/health.py

@@ -4,6 +4,7 @@ from sqlalchemy import text
 from app.models.database import get_db, get_active_sessions_count, get_long_running_sessions
 from app.core.response import success_response, ResponseModel
 from app.core.db_monitor import DBConnectionMonitor
+from typing import Optional, List
 
 router = APIRouter()
 
@@ -38,14 +39,42 @@ async def health_check(db: Session = Depends(get_db)):
 async def performance_stats(
     include_slow_queries: bool = Query(False, description="是否包含慢查询记录"),
     include_long_sessions: bool = Query(False, description="是否包含长时间运行的会话详情"),
+    min_duration: Optional[float] = Query(None, description="慢查询最小持续时间（秒）"),
+    table_filter: Optional[str] = Query(None, description="按表名筛选慢查询"),
+    query_type: Optional[str] = Query(None, description="按查询类型筛选（SELECT, INSERT, UPDATE, DELETE）"),
+    limit: int = Query(20, ge=1, le=100, description="返回的慢查询数量限制"),
     db: Session = Depends(get_db)
 ):
     """获取详细的性能统计信息"""
     # 获取所有统计信息
     all_stats = DBConnectionMonitor.get_all_stats()
     
-    # 如果不需要包含慢查询记录，则移除它们以减少响应大小
-    if not include_slow_queries and "slow_queries" in all_stats["performance_stats"]:
+    # 处理慢查询记录
+    if include_slow_queries and "slow_queries" in all_stats["performance_stats"]:
+        # 获取原始慢查询列表
+        slow_queries = all_stats["performance_stats"]["slow_queries"]
+        
+        # 应用过滤条件
+        filtered_queries = slow_queries
+        
+        if min_duration is not None:
+            filtered_queries = [q for q in filtered_queries if q.get("duration", 0) >= min_duration]
+        
+        if table_filter:
+            filtered_queries = [q for q in filtered_queries if table_filter.lower() in q.get("table", "").lower()]
+        
+        if query_type:
+            filtered_queries = [q for q in filtered_queries if q.get("query_type", "").upper() == query_type.upper()]
+        
+        # 按持续时间排序并限制数量
+        sorted_queries = sorted(filtered_queries, key=lambda x: x.get("duration", 0), reverse=True)[:limit]
+        
+        # 更新统计信息
+        all_stats["performance_stats"]["slow_queries"] = sorted_queries
+        all_stats["performance_stats"]["slow_queries_total_count"] = len(slow_queries)
+        all_stats["performance_stats"]["slow_queries_filtered_count"] = len(filtered_queries)
+    elif "slow_queries" in all_stats["performance_stats"]:
+        # 如果不包含慢查询记录，只返回计数
         all_stats["performance_stats"]["slow_queries_count"] = len(all_stats["performance_stats"]["slow_queries"])
         del all_stats["performance_stats"]["slow_queries"]
     
@@ -60,4 +89,52 @@ async def performance_stats(
     else:
         all_stats["sessions"]["long_running_count"] = len(get_long_running_sessions(threshold_seconds=30))
     
-    return success_response(data=all_stats) 
+    return success_response(data=all_stats)
+
+@router.get("/slow-queries", response_model=ResponseModel)
+async def get_slow_queries(
+    min_duration: Optional[float] = Query(0.5, description="最小持续时间（秒）"),
+    table_filter: Optional[str] = Query(None, description="按表名筛选"),
+    query_type: Optional[str] = Query(None, description="按查询类型筛选（SELECT, INSERT, UPDATE, DELETE）"),
+    path_filter: Optional[str] = Query(None, description="按API路径筛选"),
+    limit: int = Query(50, ge=1, le=100, description="返回的记录数量限制"),
+    db: Session = Depends(get_db)
+):
+    """获取慢查询记录，支持多种过滤条件"""
+    # 获取所有慢查询
+    all_stats = DBConnectionMonitor.get_all_stats()
+    slow_queries = all_stats["performance_stats"].get("slow_queries", [])
+    
+    # 应用过滤条件
+    filtered_queries = slow_queries
+    
+    if min_duration is not None:
+        filtered_queries = [q for q in filtered_queries if q.get("duration", 0) >= min_duration]
+    
+    if table_filter:
+        filtered_queries = [q for q in filtered_queries if table_filter.lower() in q.get("table", "").lower()]
+    
+    if query_type:
+        filtered_queries = [q for q in filtered_queries if q.get("query_type", "").upper() == query_type.upper()]
+    
+    if path_filter:
+        filtered_queries = [q for q in filtered_queries if path_filter.lower() in q.get("path", "").lower()]
+    
+    # 按持续时间排序并限制数量
+    sorted_queries = sorted(filtered_queries, key=lambda x: x.get("duration", 0), reverse=True)[:limit]
+    
+    # 计算统计信息
+    stats = {
+        "total_count": len(slow_queries),
+        "filtered_count": len(filtered_queries),
+        "displayed_count": len(sorted_queries),
+        "queries": sorted_queries
+    }
+    
+    # 如果有查询，计算平均持续时间
+    if sorted_queries:
+        stats["avg_duration"] = sum(q.get("duration", 0) for q in sorted_queries) / len(sorted_queries)
+        stats["max_duration"] = max(q.get("duration", 0) for q in sorted_queries)
+        stats["min_duration"] = min(q.get("duration", 0) for q in sorted_queries)
+    
+    return success_response(data=stats) 

app/core/db_monitor.py

@@ -5,28 +5,89 @@ from starlette.middleware.base import BaseHTTPMiddleware
 from starlette.requests import Request
 import time
 import threading
-from collections import defaultdict, deque
+from collections import defaultdict, deque, Counter
 import datetime
+import json
+import re
 
 logger = logging.getLogger(__name__)
 
+# SQL查询模式识别正则表达式
+SELECT_PATTERN = re.compile(r'SELECT\s+.*?\s+FROM\s+(\w+)', re.IGNORECASE)
+INSERT_PATTERN = re.compile(r'INSERT\s+INTO\s+(\w+)', re.IGNORECASE)
+UPDATE_PATTERN = re.compile(r'UPDATE\s+(\w+)\s+SET', re.IGNORECASE)
+DELETE_PATTERN = re.compile(r'DELETE\s+FROM\s+(\w+)', re.IGNORECASE)
+
+def extract_table_name(sql):
+    """从SQL语句中提取表名"""
+    for pattern in [SELECT_PATTERN, INSERT_PATTERN, UPDATE_PATTERN, DELETE_PATTERN]:
+        match = pattern.search(sql)
+        if match:
+            return match.group(1)
+    return "unknown"
+
 class DBStats:
     """数据库统计信息"""
     def __init__(self):
         self.slow_queries = deque(maxlen=100)  # 最多保存100条慢查询记录
         self.endpoint_stats = defaultdict(lambda: {"count": 0, "total_time": 0, "max_time": 0})
         self.hourly_requests = defaultdict(int)
+        self.table_access_count = Counter()  # 表访问计数
+        self.query_patterns = Counter()      # 查询模式计数
         self.lock = threading.Lock()
     
-    def record_slow_query(self, method, path, duration):
+    def record_slow_query(self, method, path, duration, sql=None, params=None):
         """记录慢查询"""
         with self.lock:
-            self.slow_queries.append({
+            # 提取表名和查询类型
+            table_name = "unknown"
+            query_type = "unknown"
+            
+            if sql:
+                # 确定查询类型
+                if sql.strip().upper().startswith("SELECT"):
+                    query_type = "SELECT"
+                elif sql.strip().upper().startswith("INSERT"):
+                    query_type = "INSERT"
+                elif sql.strip().upper().startswith("UPDATE"):
+                    query_type = "UPDATE"
+                elif sql.strip().upper().startswith("DELETE"):
+                    query_type = "DELETE"
+                
+                # 提取表名
+                table_name = extract_table_name(sql)
+                
+                # 更新表访问统计
+                self.table_access_count[table_name] += 1
+                
+                # 更新查询模式统计
+                query_pattern = f"{query_type} {table_name}"
+                self.query_patterns[query_pattern] += 1
+            
+            # 记录慢查询
+            query_info = {
                 "method": method,
                 "path": path,
                 "duration": duration,
-                "timestamp": datetime.datetime.now().isoformat()
-            })
+                "timestamp": datetime.datetime.now().isoformat(),
+                "query_type": query_type,
+                "table": table_name
+            }
+            
+            # 如果在调试模式下，添加SQL和参数信息
+            if sql:
+                query_info["sql"] = ' '.join(sql.split())[:500]  # 截断并移除多余空白
+            
+            if params and isinstance(params, (dict, list, tuple)):
+                try:
+                    # 尝试安全地序列化参数
+                    param_str = json.dumps(params)
+                    if len(param_str) <= 500:  # 限制参数长度
+                        query_info["params"] = param_str
+                except:
+                    pass
+            
+            self.slow_queries.append(query_info)
     
     def record_request(self, method, path, duration):
         """记录请求统计"""
@@ -56,19 +117,47 @@ class DBStats:
                 reverse=True
             )[:10]
             
+            # 获取最常访问的表（前10个）
+            top_tables = self.table_access_count.most_common(10)
+            
+            # 获取最常见的查询模式（前10个）
+            top_query_patterns = self.query_patterns.most_common(10)
+            
             return {
                 "slow_queries": list(self.slow_queries),
                 "top_slow_endpoints": sorted_endpoints,
-                "hourly_requests": dict(self.hourly_requests)
+                "hourly_requests": dict(self.hourly_requests),
+                "top_accessed_tables": top_tables,
+                "top_query_patterns": top_query_patterns
             }
 
 
+# 全局请求上下文
+request_context = threading.local()
+
 class DBConnectionMonitor:
     """数据库连接监控工具"""
     
     # 初始化统计对象
     stats = DBStats()
     
+    @staticmethod
+    def set_request_context(request):
+        """设置当前请求上下文"""
+        request_context.method = request.method
+        request_context.path = request.url.path
+    
+    @staticmethod
+    def get_request_context():
+        """获取当前请求上下文"""
+        return getattr(request_context, 'method', 'UNKNOWN'), getattr(request_context, 'path', 'UNKNOWN')
+    
+    @staticmethod
+    def record_slow_query(duration, sql=None, params=None):
+        """记录慢查询"""
+        method, path = DBConnectionMonitor.get_request_context()
+        DBConnectionMonitor.stats.record_slow_query(method, path, duration, sql, params)
+    
     @staticmethod
     def get_connection_stats():
         """获取当前连接池状态"""
@@ -108,6 +197,9 @@ class DBMonitorMiddleware(BaseHTTPMiddleware):
     async def dispatch(self, request: Request, call_next):
         self.request_count += 1
         
+        # 设置请求上下文
+        DBConnectionMonitor.set_request_context(request)
+        
         # 每处理N个请求记录一次连接池状态
         if self.request_count % self.log_interval == 0:
             DBConnectionMonitor.log_connection_stats()

app/models/database.py

@@ -37,11 +37,19 @@ Base = declarative_base()
 active_sessions = {}
 session_lock = threading.Lock()
 
+# 导入监控工具（延迟导入以避免循环依赖）
+def get_db_monitor():
+    from app.core.db_monitor import DBConnectionMonitor
+    return DBConnectionMonitor
+
 # 添加事件监听器，记录长时间运行的查询
 @event.listens_for(engine, "before_cursor_execute")
 def before_cursor_execute(conn, cursor, statement, parameters, context, executemany):
     """在执行SQL查询前记录时间"""
     conn.info.setdefault('query_start_time', []).append(time.time())
+    conn.info.setdefault('query_statement', []).append(statement)
+    conn.info.setdefault('query_parameters', []).append(parameters)
+    
     if settings.DEBUG:
         # 安全地记录SQL语句，避免敏感信息泄露
         safe_statement = ' '.join(statement.split())[:200]  # 截断并移除多余空白
@@ -51,12 +59,21 @@ def before_cursor_execute(conn, cursor, statement, parameters, context, executem
 def after_cursor_execute(conn, cursor, statement, parameters, context, executemany):
     """在执行SQL查询后计算耗时并记录慢查询"""
     total = time.time() - conn.info['query_start_time'].pop(-1)
+    statement = conn.info['query_statement'].pop(-1)
+    parameters = conn.info['query_parameters'].pop(-1)
     
     # 记录慢查询
     if total > 0.5:  # 记录超过0.5秒的查询
         # 安全地记录SQL语句，避免敏感信息泄露
         safe_statement = ' '.join(statement.split())[:200]  # 截断并移除多余空白
         logger.warning(f"慢查询 ({total:.2f}s): {safe_statement}...")
+        
+        # 记录到监控系统
+        try:
+            monitor = get_db_monitor()
+            monitor.record_slow_query(total, statement, parameters)
+        except Exception as e:
+            logger.error(f"记录慢查询失败: {str(e)}")
 
 # 依赖项
 def get_db():