本篇文章旨在通过一段JavaScript来演示如何调用python后端服务的,这是我开发的一个构建测试数据的工具。
第一部分:html 代码部分
第二部分:JavaScript代码部分
第三部分:Python后端代码
@app.route('/insertInvertory',methods=['GET'])
def insertInvertory():
env=request.args.get('env')
code=request.args.get('code')
datenow = time.strftime("%Y-%m-%d")
db=DBUtils(env)
selectsql="SELECT a.id propertyId,c.id roomTypeId,c.code RoomType FROM info.property AS a,info.room_class AS b,info.room_type AS c WHERE a.code ='"+code+"' AND b.property_id =a.id AND c.room_class_id =b.id"
result=db.dbSelect(selectsql)
for i in range(len(result)):
property_id=str(result[i]['propertyId'])
delsql = "DELETE FROM inv.`property_inventory_detail` WHERE property_id ='"+property_id+"' AND effective_date >='" + str(datenow) + "'"
dbs = DBUtils(env)
resutls = dbs.dbExcute(delsql)
print("the resutls is:",resutls)
print(delsql)
for i in range(len(result)):
property_id=str(result[i]['propertyId'])
relation_id=str(result[i]['roomTypeId'])
insertsql="INSERT INTO inv.`property_inventory_detail`(property_id,relation_type,relation_id,effective_date,original,consume,STATUS,create_time,update_time,deducted,out_order,non_deducted) \
VALUES \
("+property_id+",4,"+relation_id+",DATE_ADD('"+str(datenow)+"',INTERVAL 0 DAY),100,0,1,NOW(),NOW(),0,0,0),\
("+property_id+",4,"+relation_id+",DATE_ADD('"+str(datenow)+"',INTERVAL 1 DAY),100,0,1,NOW(),NOW(),0,0,0),\
("+property_id+",4,"+relation_id+",DATE_ADD('"+str(datenow)+"',INTERVAL 90 DAY),100,0,1,NOW(),NOW(),0,0,0);"
dbs = DBUtils(env)
resutls=dbs.dbExcute(insertsql)
print(resutls)
print(insertsql)
return jsonify("<p color='green'>{status:200,msg:it's success!!!}</p>")
第四步:执行成功后返回结果