I'm working on a simple app that takes images optimizes them and saves them in cloud storage. I found an example that takes the file and uses PIL to optimize it. The code looks like this:
def inPlaceOptimizeImage(photo_blob):
blob_key = photo_blob.key()
new_blob_key = None
img = Image.open(photo_blob.open())
output = StringIO.StringIO()
img.save(output,img.format, optimized=True,quality=90)
opt_img = output.getvalue()
output.close()
# Create the file
file_name = files.blobstore.create(mime_type=photo_blob.content_type)
# Open the file and write to it
with files.open(file_name, 'a') as f:
f.write(opt_img)
# Finalize the file. Do this before attempting to read it.
files.finalize(file_name)
# Get the file's blob key
return files.blobstore.get_blob_key(file_name)
This works fine locally (although I don't know how well it's being optimized because when I run the uploaded image through something like http://www.jpegmini.com/ it gets reduced by 2.4x still). However when I deploy the app and try uploading images I frequently get 500 errors and these messages in the logs:
F 00:30:33.322 Exceeded soft private memory limit of 128 MB with 156 MB after servicing 7 requests total
W 00:30:33.322 While handling this request, the process that handled this request was found to be using too much memory and was terminated. This is likely to cause a new process to be used for the next request to your application. If you see this message frequently, you may have a memory leak in your application.
I have two questions:
- Is this even the best way to optimize and save images in cloud storage?
- How do I prevent these 500 errors from occurring?
Thanks in advance.