数据库操作

.idea/sqldialects.xml

@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="SqlResolveMappings">
+    <file url="file://$PROJECT_DIR$/storage/mysql_agent.py" scope="{&quot;node&quot;:{  &quot;@negative&quot;:&quot;1&quot;,  &quot;group&quot;:{   &quot;@kind&quot;:&quot;root&quot;,   &quot;node&quot;:{    &quot;@negative&quot;:&quot;1&quot;   }  } }}" />
+    <file url="PROJECT" scope="{&quot;node&quot;:{  &quot;@negative&quot;:&quot;1&quot;,  &quot;group&quot;:{   &quot;@kind&quot;:&quot;root&quot;,   &quot;node&quot;:{    &quot;@negative&quot;:&quot;1&quot;   }  } }}" />
+  </component>
+</project>

storage/mysql_agent.py

@@ -199,7 +199,7 @@ class MySQLAgent:
     def insert_from_df(self, table_name: str, df: pd.DataFrame,
                        chunk_size: int = 1000, replace: bool = False) -> int:
         """
-        将DataFrame数据插入到数据库表
+        将DataFrame数据插入到数据库表（修复版）
 
         Args:
             table_name (str): 目标表名
@@ -226,11 +226,28 @@ class MySQLAgent:
             method = 'replace' if replace else 'append'
             total_rows = 0
 
-            with self.get_connection() as conn:
-                # 各平台不同的分批策略
-                if platform.system() == 'Windows':
-                    chunk_size = min(chunk_size, 500)  # Windows上减小批次
+            # 创建临时SQLAlchemy引擎（不创建新连接池）
+            from sqlalchemy import create_engine
+            from sqlalchemy.pool import StaticPool
 
+            # 获取当前连接并包装
+            conn = self.get_connection()
+
+            # 修复连接对象缺少character_set_name的问题
+            if not hasattr(conn, 'character_set_name'):
+                conn.character_set_name = lambda: self.config.get('charset', 'utf8mb4')
+
+            engine = create_engine(
+                "mysql+pymysql://",
+                creator=lambda: conn,
+                poolclass=StaticPool,  # 使用静态池避免创建新连接
+                connect_args={
+                    'charset': self.config.get('charset', 'utf8mb4'),
+                    'autocommit': True
+                }
+            )
+
+            try:
                 for i in range(0, len(df), chunk_size):
                     chunk = df.iloc[i:i + chunk_size]
 
@@ -241,7 +258,7 @@ class MySQLAgent:
 
                     chunk.to_sql(
                         table_name,
-                        conn,
+                        engine,
                         if_exists=method,
                         index=False,
                         method='multi'
@@ -252,10 +269,14 @@ class MySQLAgent:
                                    rows=len(chunk),
                                    total_inserted=total_rows)
 
-            self.log.info("Data inserted successfully",
-                          table=table_name,
-                          total_rows=total_rows)
-            return total_rows
+                self.log.info("Data inserted successfully",
+                              table=table_name,
+                              total_rows=total_rows)
+                return total_rows
+            finally:
+                # 确保连接正确关闭
+                engine.dispose()
+                conn.close()
 
         except Exception as e:
             self.log.error("Data insertion failed",
@@ -516,7 +537,7 @@ class MySQLAgent:
             self.log.debug("Transaction started")
             return conn
         except Exception as e:
-            self.log.error("Begin transaction failed", error=str(e), exc_info=True)
+            self.log.error("Begin transaction_failed", error=str(e))
             raise
 
     def commit_transaction(self, conn: pymysql.connections.Connection) -> None:
@@ -616,7 +637,7 @@ def get_default_config():
         'port': 3306,
         'user': 'root',
         'password': '123123',
-        'database': 'intelligence_system',
+        'database': 'intelligence',
         'max_connections': 5
     }