基于tornado python pandas和bootstrap上传组件的mongodb数据添加工具

总体思路：基于bootstrap4的前端页面上传组件，把excel文件上传至服务器，并利用python pandas读取里面的数据形成字典列表

通过pymongo 接口把数据插入或追加到mongodb相关集合中

• html部分

<input type="file"  id="excelfile" class="form-control">
          <div class="form-check form-check-inline">
            <input class="form-check-input" type="radio" name="inlineRadioOptions" id="rebuild" value="option1">
            <label class="form-check-label" for="rebuild">重建</label>
          </div>
          <div class="form-check form-check-inline">
            <input class="form-check-input" type="radio" name="inlineRadioOptions" id="append" value="option2">
            <label class="form-check-label" for="append">附加</label>
          </div>
........

<button type="button" id="postbtn" class="btn btn-lg btn-block btn-outline-primary">Sign up for free</button>

• jquery部分:其中24-26行是确保ajax提交成功的关键

 //radio按键，按下和抬起所代表的不同动作
         $(".form-check-input").click(function () {
           if(typeof($(this).attr("checked"))=="undefined")
           {
             $(this).attr("checked","checked")
           }
           else
           {
             $(this).removeAttr('checked')
           }
         });

         $("#postbtn").click(function () {
           //根据选中的radio，执行相应的操作，追加mongodb的数据集或是
           //删除重建
           var param = $(".form-check-input:checked").attr("id");
           //alert("参数"+param);
           var dataform = new FormData();
           dataform.append('fileobj',$("#excelfile")[].files[]);
           dataform.append('status',param);
           $.ajax({
           url:'/qingxiniaodao',
           type:'post',
           mimeType:'multipart/form-data',
           contentType:false,
           processData:false,
           data:dataform,
           success:function (data) {
             console.log(data)
           }
         })
         });
     </script>

• tornado----python部分

class qingxiniaodao(RequestHandler):
    def get(self):
        self.render('mongowithpanda.html')
    def post(self):
        if self.request.files:
            #第一步上传文件
            filename = self.request.files['fileobj'][]['filename']
            param =self.get_argument("status")#如果值为rebuild就重建，append为附加
            filename =currentpath+"\\temfile\\"+filename
            with open(filename,"wb") as writer:
                writer.write(self.request.files['fileobj'][]['body'])
            #第二步：读取文件生成dataframe
            mydataframe = pandas.read_excel(filename)
            print(type(mydataframe.to_json(orient='records')))
            self.write(json.dumps({"rets": mydataframe.to_json(orient='records')}))
            #第三步获取集合名称----默认每个excel文件只有一个sheet
            collectioname = pandas.ExcelFile(filename)
            #获取sheet名
            print(collectioname.sheet_names[])
            #mongodb操作：
            client = MongoClient("localhost",)
            db = client['olddream']
            cols = db[collectioname.sheet_names[]]
            if(param=="rebuild"):
                cols.remove()
            title = []
            rets = []
            superdict = {}
            retlist = []
            print("这是表头：", mydataframe.columns)
            for i in mydataframe.columns:
                title.append(i)
            # mydataframe.values----结果集ndarray类型
            print("算出数据集的行，列数：", mydataframe.values.shape)
            rowcount = mydataframe.values.shape[]  # ndarray的行数，--元组
            i =
            print("打印数据集的值：", mydataframe.values)
            print("打印数据集的某行某列：", mydataframe.values[][])
            k =
            for i in range(, rowcount):
                for k in range(, len(title)):
                    superdict[title[k]] = mydataframe.values[i][k]
                retlist.append(superdict)
                superdict = {}
                i +=
            self.write(json.dumps({"rets": retlist}))
            insertrows=cols.insert_many(retlist)
            self.write(json.dumps({"rets":str(insertrows.inserted_ids)}))