That is why I avoid external binary dependencies like the plague :) 
 Otherwise I could just pass the file handle returned by the storage class 
to whatever Python code needs to process a document.  But whenever there is 
processing by an external utility Mayan already copies the document file 
locally and treats it like a cached version of the original document:

https://github.com/rosarior/mayan/blob/master/apps/documents/models.py#L120

which in turn calls the Document's latest version's open method:

https://github.com/rosarior/mayan/blob/master/apps/documents/models.py#L487

which in turn calls the storage class open method :)

https://github.com/rosarior/mayan/blob/master/apps/documents/models.py#L493

Never is a document assumed to be local.  I tested this decoupling in the 
past storing documents in a GridFS clustered storage and worked, but it was 
quite some time ago so I'm very eager to see what Ami found out and fix it. 
 

/Roberto

On Monday, July 23, 2012 4:22:42 PM UTC-4, Nate Aune wrote:
>
> I think one problem is that much of the Mayan functionality (OCR, 
> metadata, etc.) expects that the files are on a locally accessible file 
> system, which is not the case if the files are on S3. 
>
> So it would seem necessary to temporarily download the files from S3 to a 
> /tmp folder to process them with the Unix cmd line tools.  
>
> I don't have any direct experience with doing this with Mayan, but I know 
> from another project in which we were storing MP3 files in a database, that 
> if we wanted to extract the ID3 tags from the files using id3 cmd line 
> tools, we had to copy the MP3 files out of the database and put them in a 
> temp folder.
>
> Nate
>
>
> On Mon, Jul 23, 2012 at 3:42 PM, Carlos Aguilar <[email protected]>wrote:
>
>>
>> You can check django-storages to make compatible with S3 your app.
>>
>> -- 
>> Carlos Aguilar
>> Consultor Hardware y Software
>> DWD&Solutions
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>>
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>>  
>>  
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>>
>
>
>
> -- 
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>
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