如果要像这样在内存中创建类似文件的csv对象:
output_stream = io.StringIO()
sheet = pyexcel.get_sheet(records=data)
sheet.save_to_memory(file_type='csv', stream=output_stream)
如何使用Django将output_stream中的对象之类的文件保存到default_storage后端上的文件中?
class Example(models.Model):
model_file = models.FileField(upload_to='', max_length=255, blank=True, null=True)
我尝试过类似的事情:
self.model_file.save(filename, ContentFile(output_stream.read()))
但是出现以下错误:
"TypeError: ('data must be bytes, received', <class 'str'>)"
pyexcel仅支持CSV类型文件的io.StringIO流。
跟踪:
...
File "C:\Users\Cole\AppData\Local\Programs\Python\Python36-32\lib\site-packages\django\core\files\storage.py", line 49, in save
return self._save(name, content)
File "C:\Users\Cole\AppData\Local\Programs\Python\Python36-32\lib\site-packages\storages\backends\gcloud.py", line 167, in _save
content_type=file.mime_type)
File "C:\Users\Cole\AppData\Local\Programs\Python\Python36-32\lib\site-packages\google\cloud\storage\blob.py", line 1034, in upload_from_file
size, num_retries, predefined_acl)
File "C:\Users\Cole\AppData\Local\Programs\Python\Python36-32\lib\site-packages\google\cloud\storage\blob.py", line 947, in _do_upload
size, num_retries, predefined_acl)
File "C:\Users\Cole\AppData\Local\Programs\Python\Python36-32\lib\site-packages\google\cloud\storage\blob.py", line 759, in _do_multipart_upload
transport, data, object_metadata, content_type)
File "C:\Users\Cole\AppData\Local\Programs\Python\Python36-32\lib\site-packages\google\resumable_media\requests\upload.py", line 94, in transmit
data, metadata, content_type)
File "C:\Users\Cole\AppData\Local\Programs\Python\Python36-32\lib\site-packages\google\resumable_media\_upload.py", line 270, in _prepare_request
raise TypeError(u'`data` must be bytes, received', type(data))
TypeError: ('`data` must be bytes, received', <class 'str'>)
答案 0 :(得分:2)
您可以从StringIO
中读取内容,并转换为utf8编码的字节。
self.model_file.save(filename, ContentFile(output_stream.getvalue().encode()))
getvalue()
与read()
类似,但是无论当前流位置如何,您都将始终获取StringIO的全部内容。使用read()
,您可能需要使用seek(0)
进行倒带。