chore: 批量更新脚本与数据处理优化

1. 调整database.py批量处理记录数为400
2. 新增convert_available.py用于将available字段的JSON数组格式转换为逗号分隔字符串
3. 更新test.py为数据库查询导出脚本
4. 生成并更新SQL更新语句文件
5. 修正jupyter notebook中的数据库连接配置与代码逻辑

数据库/test.py

@@ -1,131 +1,36 @@
-import requests
+import pymysql
 import json
+# json
+import random
+# 创建数据库连接
+connection = pymysql.connect(
+host='11.1.1.5',
+user='root',
+password='@HXYD1109mysql',
+database='school_server',
+charset='utf8'
+)
+# 创建游标对象
+cursor = connection.cursor()
+sql="select * from temp_schoolwork_plan"
+cursor.execute(sql)
+result=cursor.fetchall()
+def create_table(cursor,result):
+    
+    data = []
+    for i in result:
+        list_list = list(i)
+        des=cursor.description  # 获取表详情，字段名，长度，属性等
+        t = ",".join([item[0] for item in des])
+        table_head = t.split(',')  # # 查询表列名 用,分割
+    
+        dict_result = dict(zip(table_head, list_list))  # 打包为元组的列表 再转换为字典
+        data.append(dict_result)  # 将字典添加到list_result中
+    return data
+table = create_table(cursor,result)
 
-"""
-请求 Dify API 的示例脚本
-接口: POST http://net2.hxzhxy.cn:5093/v1/chat-messages
-
-使用方法：
-1. 设置环境变量 DIFY_API_KEY，或者直接在下面填入 api_key
-2. 运行脚本
-"""
-
-def send_chat_message(
-    query: str,
-    api_key: str = None,
-    api_url: str = "http://net2.hxzhxy.cn:5093/v1/chat-messages",
-    user: str = "abc-123",
-    response_mode: str = "streaming",  # streaming 或 blocking
-    conversation_id: str = "",
-    inputs: dict = None,
-    files: list = None
-):
-    """发送对话消息到 Dify API"""
-    
-    if api_key is None:
-        import os
-        api_key = os.environ.get("DIFY_API_KEY", "")
-    
-    if inputs is None:
-        inputs = {}
-    
-    if files is None:
-        files = []
-    
-    headers = {
-        "Authorization": f"Bearer {api_key}",
-        "Content-Type": "application/json"
-    }
-    
-    payload = {
-        "inputs": inputs,
-        "query": query,
-        "response_mode": response_mode,
-        "conversation_id": conversation_id,
-        "user": user,
-        "files": files
-    }
-    
-    print(f"请求地址: {api_url}")
-    print(f"用户: {user}")
-    print(f"消息: {query}")
-    print(f"响应模式: {response_mode}")
-    
-    if response_mode == "streaming":
-        # 流式响应
-        response = requests.post(
-            url=api_url,
-            headers=headers,
-            json=payload,
-            stream=True,
-            timeout=120
-        )
-        
-        if response.status_code != 200:
-            print(f"请求失败: {response.status_code}")
-            print(response.text)
-            return
-        
-        print("\n--- 流式响应 ---")
-        for line in response.iter_lines():
-            if line:
-                try:
-                    data = json.loads(line.decode("utf-8").lstrip("data: "))
-                    if "answer" in data:
-                        print(data["answer"], end="", flush=True)
-                except (json.JSONDecodeError, KeyError):
-                    pass
-        print("\n--- 响应结束 ---")
-        return response
-    
-    else:
-        # 非流式响应（blocking）
-        response = requests.post(
-            url=api_url,
-            headers=headers,
-            json=payload,
-            timeout=120
-        )
-        
-        if response.status_code != 200:
-            print(f"请求失败: {response.status_code}")
-            print(response.text)
-            return response
-        
-        result = response.json()
-        print(f"\n对话ID: {result.get('conversation_id', '')}")
-        print(f"回复: {result.get('answer', '')}")
-        return result
-
-
-
-
-if __name__ == "__main__":
-    # ===== 配置参数（请在运行前填写）=====
-    API_KEY = "app-T0kpinzer52gZDGCtipsShVm"  # Dify API Key
-    USER_ID = "xtlft@qq.com"
-    test =     {
-        "id": 293,
-        "batch_name": "英语期末模拟",
-        "fixed_header": "[\"姓名\", \"学号\", \"听力\", \"写作\", \"答题卡\", \"总分\"]",
-        "variable_header": "[\"姓名\", \"学号\", \"听力\", \"写作\", \"答题卡\", \"总分\"]",
-        "team_id": 19,
-        "create_time": "2026-01-12 10:19:43",
-        "update_time": "2026-06-09 11:32:44",
-        "operator": "handongmei",
-        "tea_id": 743,
-        "tea_name": "韩冬梅",
-        "state": 1,
-        "semester": None,
-        "subject": "英语",
-        "exam_time": None,
-        "grade_id": None,
-        "batch_no": None
-    },
-    # 示例1: 流式对话
-    send_chat_message(
-        query=json.dumps(test, ensure_ascii=False),
-        api_key=API_KEY,
-        user=USER_ID,
-        response_mode="streaming"
-    )
+for item in table:
+    item["create_time"]=''
+    item["update_time"]=''
+with open("table.json","w") as f:
+    f.write(json.dumps(table,ensure_ascii=False,indent=4))