In that situation I would think that you would keep your Image class and add
references to the blobstore instead of the actual blob.
In my model I store the reference and pre-generate the image serving url, which
you can append characters to to get various sizes:
primary_image = blobstore.BlobReferenceProperty()
primary_image_url = db.StringProperty()
On Aug 24, 2010, at 11:11 PM, Niklasro(.appspot) wrote:
> Thanks for this info. I've referenced imaged like below. Can I too
> convert to blobstore somehow keeping the reference to model A?
>
> class A(GeoModel,search.SearchableModel):
> ...
> class Image(db.Model):
>
> reference=db.ReferenceProperty(Ad,collection_name='matched_images',verbose_name="Title")
> ...
>
> On Aug 23, 3:52 am, Martin Ceperley <[email protected]> wrote:
>> Yea I just went through this process, it is a bit tricky but not too hard,
>> you can use a multipart POST library like
>> this:http://pipe.scs.fsu.edu/PostHandler/MultipartPostHandler.py
>>
>> to POST the image data to blobstore, and iterate through your models with
>> the mapreduce framework, then you'll need a callback handler once they are
>> posted.
>>
>> Faster images and auto-thumbnailing are definitely worth it! Let me know if
>> you need help.
>>
>> -Martin
>>
>> On Aug 22, 2010, at 4:27 PM, jorge wrote:
>>
>>> So the changes in 1.3.6 are very welcome, indeed. In particular, the
>>> high performance image serving is something I would like to leverage
>>> immediately. The app I built and have been maintaining has several
>>> hundred images at this point. Unfortunately, I started writing the
>>> app long before the blobstore became available, so all of my images
>>> are stored as raw bytes in a BlobProperty in the datastore.
>>
>>> You're probably beginning to see my problem. I'd love to move all of
>>> the images into the blobstore to take advantage of the new high
>>> performance image serving. Since access to the blobstore is not
>>> directly exposed (that I know of), it seems to me the only way to do
>>> this is to iterate through all the images in the datastore, generate a
>>> blobstore URL for each and attempt to construct a POST request somehow
>>> from the raw images bytes. I don't even know if this is possible, or
>>> how it will work. In any event, it sounds pretty painful. I'm
>>> wondering if there is a suggested way to accomplish this. I have a
>>> few ideas but I'd like to hear others before I start on what seems to
>>> be a fairly difficult task.
>>
>>> TIA
>>
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