你如何阅读Appengine上的xlrd excel文件？ [英] How do you read excel files with xlrd on Appengine

问题描述

我在appengine中使用xlrd。我用烧瓶

我无法读取输入文件，它一直显示相同的错误信息

代码是

$ $ p $ $ code $ def read_rows（输入文件）：
rows = []
wb = xlrd.open_workbook（inputfile ）
sh = wb.sheet_by_index（0）
for rownum in range（sh.nrows）：
rows.append（sh.row_values（rownum））
return rows

@ app.route（'/ process_input /'，methods = ['POST'，'GET']）
def process_input（）：
inputfile = request.files ['file ']
rows = read_rows（request.files ['file']）
payload = json.dumps（dict（rows = rows））
返回有效载荷

我意识到这可能是由于没有上传并将其另存为文件引起的。任何解决方法？这也可以帮助很多人。任何帮助表示赞赏，thx

更新：找到我在下面发布的解决方案。对于那些用xlrd搞糊涂的可以参考我贴的开源项目仓库。关键是传递文件的内容而不是文件名

解决方案

最后找到一个解决方案

这是我如何做到的。而不是保存文件，我读取文件的内容，让xlrd读取它。

  def read_rows（inputfile）：$ b （$）$ b $ = 
 
 $ 
 rows.append（sh.row_values（rownum））
 return rows 
  

很好地工作，并将Excel文件转换成JSON格式。如果您想输出json，只需使用json.dumps（）。

完整的代码示例可以在 https://github.com/cjhendrix/HXLator/blob/master/gae/main.py ，它具有完整的实现的xlrd和如何处理数据。

Thx为指针

I am using xlrd in appengine. I use flask

I cant read the input file and it keeps on showing the same error message

the code is

def read_rows(inputfile):
    rows = []
    wb = xlrd.open_workbook(inputfile)
    sh = wb.sheet_by_index(0)
    for rownum in range(sh.nrows):
        rows.append(sh.row_values(rownum))
    return rows

@app.route('/process_input/',methods=['POST','GET'])
def process_input():
  inputfile = request.files['file']
  rows=read_rows(request.files['file'])
  payload = json.dumps(dict(rows=rows))
  return payload

I realize that this might be caused by not uploading and saving it as a file. Any workaround on this? This would help many others as well. Any help is appreciated, thx

Update: Found a solution that I posted below. For those confused with using xlrd can refer to the open source project repo I posted. The key is passing the content of the file instead of the filename

解决方案

Find a solution finally

here's how I do it. Instead of saving the file, I read the content of the file and let xlrd reads it

def read_rows(inputfile):
  rows = []
  wb = xlrd.open_workbook(file_contents=inputfile.read())
  sh = wb.sheet_by_index(0)
  for rownum in range(sh.nrows):
    rows.append(sh.row_values(rownum))
  return rows

worked nicely and turned the excel files into JSON-able formats. If you want to output the json simply use json.dumps().

full code example can be found at https://github.com/cjhendrix/HXLator/blob/master/gae/main.py and it features full implementation of the xlrd and how to work with the data.

Thx for the pointers

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