feat: 新增批量数据处理脚本并更新考勤脚本配置

- 更新考勤jupyter notebook的登录账号、密码与请求方式
- 新增Dify API调用脚本test.py用于测试对话请求
- 新增database.py实现批量格式化处理教学计划数据并生成更新SQL

数据库/database.py

@@ -0,0 +1,135 @@
+import json
+import time
+import requests
+from faker import Faker
+fake = Faker('zh_CN')
+import random
+
+# Dify API 配置
+DIFY_API_KEY = "app-T0kpinzer52gZDGCtipsShVm"
+DIFY_API_URL = "http://net2.hxzhxy.cn:5093/v1/chat-messages"
+DIFY_USER = "xtlft@qq.com"
+
+
+def call_dify_format_data(data: dict) -> dict:
+    """
+    调用 Dify 接口，传入数据，让 AI 格式化输出
+    返回包含 subject 和 available 字段的字典
+    """
+    payload = {
+        "inputs": {},
+        "query": json.dumps(data, ensure_ascii=False),
+        "response_mode": "blocking",
+        "conversation_id": "",
+        "user": DIFY_USER,
+        "files": []
+    }
+
+    headers = {
+        "Authorization": f"Bearer {DIFY_API_KEY}",
+        "Content-Type": "application/json"
+    }
+
+    response = requests.post(
+        url=DIFY_API_URL,
+        headers=headers,
+        json=payload,
+        timeout=300
+    )
+    response.raise_for_status()
+    time.sleep(3)
+    return response.json()
+
+
+def parse_dify_response(dify_resp: dict) -> dict:
+    """
+    解析 Dify 返回的 JSON，提取 id, subject, available
+    """
+    answer_str = dify_resp.get("answer", "{}")
+    # 兼容 Dify 返回的字符串里有 ```json ... ``` 包裹
+    answer_str = answer_str.strip()
+    if answer_str.startswith("```"):
+        answer_str = answer_str.strip("`")
+        if answer_str.startswith("json"):
+            answer_str = answer_str[4:]
+        answer_str = answer_str.strip()
+
+    parsed = json.loads(answer_str)
+    return {
+        "id": parsed.get("id"),
+        "subject": parsed.get("subject"),
+        "available": parsed.get("available", [])
+    }
+
+
+def build_update_sql(subject: str, available: list, record_id) -> str:
+    """
+    生成 update temp_schoolwork_plan 的 SQL 语句
+    """
+    available_json = json.dumps(available, ensure_ascii=False)
+    # 用 mysql 的引号转义
+    subject_escaped = subject.replace("'", "''") if subject else ""
+    available_escaped = available_json.replace("'", "''")
+    sql = f"UPDATE temp_schoolwork_plan SET subject='{subject_escaped}', available='{available_escaped}' WHERE id={record_id};"
+    return sql
+
+
+def process_records(records: list, output_file: str = "update_statements.sql", limit: int = None):
+    """
+    批量处理 records，调用 Dify 格式化，输出所有 update 语句到文件
+    边处理边写入，避免全部跑完才发现问题
+    """
+    if limit:
+        records = records[:limit]
+
+    total = len(records)
+    success_count = 0
+
+    # 先清空文件（如果存在）
+    with open(output_file, "w", encoding="utf-8") as f:
+        f.write("-- ===== temp_schoolwork_plan 更新语句 =====\n")
+
+    for idx, record in enumerate(records, 1):
+        record_id = record.get("id")
+        batch_name = record.get("batch_name", "")
+        print(f"\n[{idx}/{total}] 开始处理 ID={record_id} batch_name={batch_name}")
+        try:
+            # 1. 调用 Dify 格式化
+            print(f"  → 调用 Dify 接口...")
+            dify_resp = call_dify_format_data(record)
+
+            parsed = parse_dify_response(dify_resp)
+            print(f"  → 解析结果: id={parsed['id']}, subject={parsed['subject']}, available={parsed['available']}")
+
+            subject = parsed["subject"]
+            available = parsed["available"]
+            record_id = parsed["id"] or record.get("id")
+
+            # 有效性校验：subject 或 available 任一为空/空数组都视为无效
+            if not subject or not available or len(available) == 0:
+                print(f"  ✗ ID={record_id} 无效: subject={subject!r}, available={available!r}，跳过")
+                continue
+
+            # 2. 生成 update 语句并立即写入文件
+            sql = build_update_sql(subject, available, record_id)
+            with open(output_file, "a", encoding="utf-8") as f:
+                f.write(sql + "\n")
+            success_count += 1
+            print(f"  ✓ 写入SQL: {sql}")
+        except Exception as e:
+            print(f"  ✗ ID={record_id} 处理失败: {e}")
+            continue
+
+    print(f"\n全部处理完成，共生成 {success_count} 条 update 语句")
+    print(f"输出文件: {output_file}")
+
+
+if __name__ == "__main__":
+    # 加载本地 table.json
+    with open("table.json", "r", encoding="utf-8") as f:
+        records = json.load(f)
+
+    print(f"加载到 {len(records)} 条记录")
+
+    # 批量处理，先只跑3条测试
+    process_records(records, output_file="update_statements.sql", limit=3)