Hello,
I'm not entirely sure how Amazon S3 affects your situation, but #2070
is the only option I know of to chunk your files (i.e. to avoid
loading the entire contents into memory).
If you're using #2070, then the files that were successfully streamed
will have a ['tmpfile'] attribute, which is the file.
Therefore you can do something of this sort:
chunk_size = 65535
if 'tmpfile' in request.FILES['file']:
file = request.FILES['file']['tmpfile']
else:
file = StringIO.StringIO(request.FILES['file']['content'])
chunk = file.read(chunk_size)
while chunk:
# Do something. (Like send to amazon?)
chunk = file.read(chunk_size)
-Mike
On Aug 14, 11:15 am, "[EMAIL PROTECTED]" <[EMAIL PROTECTED]>
wrote:
> Hi there!
>
> I'm using Amazon S3 for file storage, so I have to access the FILES-
> object directly in my view. So #2070 won't have any effect, as far as
> I can see.
>
> I've been thinking about the FileWrapper-object.
> If I access it like this: the_file =
> FileWrapper(file(StringIO(request.FILES['file']['content'])))
> would that load the whole thing into memory? Is there a way around
> this?
>
> If there isn't, what are my options?
>
> Thanks!
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