250526-4代码。

routers/api/dataManagement/__init__.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 
-from fastapi import APIRouter, Request, Depends, Query, HTTPException, status,WebSocket,WebSocketDisconnect
+from fastapi import APIRouter, Request, Depends, Query, HTTPException, status,WebSocket,WebSocketDisconnect,UploadFile,File
 from common.security import valid_access_token,valid_websocket_token
 from fastapi.responses import JSONResponse,StreamingResponse
 from common.db import db_czrz
@@ -21,6 +21,9 @@ from utils.resource_provision_util import *
 from common.websocketManager import *
 import json
 import traceback
+import pandas as pd
+from io import BytesIO
+import openpyxl
 
 router = APIRouter()
 
@@ -41,6 +44,7 @@ def get_data_field(table_id: int, db: Session = Depends(get_db)):
                   AND COLUMN_NAME NOT IN :ignore_fields order by ORDINAL_POSITION
             """)
     columns_result = db.execute(columns_query, {
+        "layer_name": info.layer_name,
         "schema_name": info.database_name,
         "table_name": info.table_name,
         "ignore_fields": tuple(ignore_fields_list)
@@ -210,7 +214,72 @@ async def delete_data(table_id: int, data_id: int, db: Session = Depends(get_db)
         traceback.print_exc()
         return JSONResponse(status_code=500, content={'code': 500, 'msg': f"接口发生错误:{e}"})
 
-def get_data_info():
-    pass
-def insert_data():
-    pass
+
+@router.get("/generate_import_template/{table_id}")
+async def generate_import_template(table_id: int, db: Session = Depends(get_db)):
+    # 获取表结构
+    table_structure = get_data_field(table_id, db)
+    columns = table_structure["columns"]
+    layer_name = table_structure["layer_name"]
+
+    # 创建 DataFrame column_name
+    data = [{col["column_comment"]:col['column_name']} for col in columns]
+    column_names = [col["column_comment"] for col in columns]
+    df = pd.DataFrame(data=data,columns=column_names)
+
+    # 将 DataFrame 转换为 Excel 文件
+    output = BytesIO()
+    with pd.ExcelWriter(output, engine="openpyxl") as writer:
+        df.to_excel(writer, index=False, sheet_name=layer_name)
+
+    # 设置响应头
+    output.seek(0)
+    headers = {
+        "Content-Disposition": f"attachment; filename=import_template_{table_structure['table_name']}.xlsx",
+            'Content-Type': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'
+    }
+    return StreamingResponse(output, headers=headers,
+                    media_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")
+
+
+# 数据批量导入
+@router.post("/import_data/{table_id}")
+async def import_data(table_id: int, file: UploadFile = File(...), db: Session = Depends(get_db)):
+    # 获取表结构
+    table_structure = get_data_field(table_id, db)
+    table_name = table_structure["table_name"]
+    schema_name = table_structure["schema_name"]
+    columns = table_structure["columns"]
+
+    # 读取 Excel 文件
+    try:
+        workbook = openpyxl.load_workbook(file.file)
+        sheet = workbook.active
+    except Exception as e:
+        raise HTTPException(status_code=400, detail="Invalid Excel file")
+
+        # 获取字段名和字段备注名
+    column_names = [col["column_name"] for col in columns]
+    column_comments = [col["column_comment"] for col in columns]
+
+    # 检查第一行是否为字段备注名
+    first_row = [cell.value for cell in sheet[1]]
+    if first_row != column_comments:
+        raise HTTPException(status_code=400, detail="Excel columns do not match the expected columns")
+
+    # 检查第二行是否为字段名
+    second_row = [cell.value for cell in sheet[2]]
+    if second_row != column_names:
+        raise HTTPException(status_code=400, detail="Excel columns do not match the expected columns")
+
+    # 将数据插入到数据库
+    try:
+        insert_query = text(
+            f"INSERT INTO `{schema_name}`.`{table_name}` ({', '.join(column_names)}) VALUES ({', '.join([':' + col for col in column_names])})")
+        for row in sheet.iter_rows(min_row=3, values_only=True):
+            db.execute(insert_query, dict(zip(column_names, row)))
+        db.commit()
+        return {"message": "Data imported successfully"}
+    except Exception as e:
+        db.rollback()
+        raise HTTPException(status_code=500, detail=str(e))