Does anyone know how to convert a GAE Images API Image object into a "file like object"?
I'm trying to upload an image that I've transformed from the GAE Images API to Facebook. I'm using the execute_transforms function, which returns a "Image Representation" of the image.
I've tried to upload it using the following code, but I get a FB API Error "No Uploaded Image"
img = images.Image(ORIGINAL_IMAGE)
img.crop(0.0, 5.0/img.height, 713.0/img.width, 644.0/img.height)
output = img.execute_transforms(output_encoding=images.PNG)
graph = fb.GraphAPI(access_token)
graph.put_photo(output, 'Look at this cool photo!')
I think the issue is that output is not a "file like object" which is what put_photo requires, but the GAE docs doesn't have a function for casting into a "file like object". Tried creating temp files and writing to them, but GAE doesn't allow writing to filesystem. I've also tried to write to a StringIO object, but that didn't work.
Thanks
Use StringIO
enter code here
import StringIO
graph.put_photo(StringIO.StringIO(output), 'Look at this cool photo!')
Have a read of the docs at http://docs.python.org/library/stringio.html
Related
I am trying to create an image thumbnail creation function using python, running in a google cloud platform's function. The image is sent as a base64 string to the cloud function, manipulated and made smaller with Python's Pillow package. It is then uploaded as an image, going from a Pillow Image object, to a BytesIO object, then saved to google cloud storage. This is all done successfully.
The problem here is very strange: Google Cloud Storage does not recognize the image until an access token is created manually. Otherwise, the image is left in an infinite loop, never loading, and never being able to be used.
I have reviewed this SO post, which has a very similar problem to mine (the image here shows exactly my problem: an uploaded file cannot be loaded properly), but it differs in two imporant categories: 1) They are manipulating the image array directly, while my code never touches it and 2) they are working in Node.js, where the Firebase SDK is different than in Python.
The code to generate the image is as follows:
def thumbnailCreator(request):
# Setting up the resourcse we are going to use
storage_client = storage.Client()
stor_bucket = storage_client.bucket(BUCKET_LINK)
# Retriving the Data
sent_data = request.get_json()['data']
name = sent_data['name']
userID = sent_data['userID']
# Process to go between base64 string to bytes, to a file object
imageString = stor_bucket.blob(PATH_TO_FULL_SIZE_IMAGE).download_as_string()
imageFile = BytesIO(imageString)
image = Image.open(imageFile)
# Resizing the image is the goal
image = image.resize(THUMBNAIL_SIZE)
# Go between pillow Image object to a file
imageFile = BytesIO()
image.save(imageFile, format='PNG')
imageBytes = imageFile.getvalue()
image64 = base64.b64encode(imageBytes)
imageFile.seek(0)
# Uploading the Data
other_blob = stor_bucket.blob(PATH_FOR_THUMBNAIL_IMAGE)
other_blob.upload_from_file(imageFile, content_type = 'image/png')
return {'data': {'response': 'ok', 'status': 200}}
Again, this works. I have a feeling there is something wrong with the MIME type. I am a novice when it comes to this type of programming/networking/image manipulation, so I'm always looking for a better way to do this. Anyway, thanks for any and all help.
It appears that the premise of this question - that a access token must be made manually for the image to work - is not accurate. After further testing, the error came from other parts of the code base I was working in. The above python script does work for image manipulation. An access token to the image can be generated via code, and be provided client-side.
Leaving this up in case someone stumbles upon it in the future when they need to work with Pillow/PIL in the Google Cloud Platform.
I'm working on an application in which I need to upload images to an S3 bucket. The images come from HTTP requests inside form datas. I upload the images directly to S3 as objects (https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3.html#S3.Client.put_object), without saving them on my backend for security purposes.
But for other security purposes, is there a way to check if my image object is actually representing an image before uploading it to S3?
Given a bytes object, the following solution worked out for me:
def validate_image(bytes_object):
import io
from PIL import Image
try:
Image.open(io.BytesIO(bytes_array))
except OSError:
print('Not a valid image')
I am trying to write a python program to download images from glance service. However, I could not find a way to download images from the cloud using the API. In the documentation which can be found here:
http://docs.openstack.org/user-guide/content/sdk_manage_images.html
they explain how to upload images, but not to download them.
The following code shows how to get image object, but I don't now what to do with this object:
import novaclient.v1_1.client as nvclient
name = "cirros"
nova = nvclient.Client(...)
image = nova.images.find(name=name)
is there any way to download the image file and save it on disk using this object "image"?
Without installing glance cli you can download image via HTTP call as described here:
http://docs.openstack.org/developer/glance/glanceapi.html#retrieve-raw-image-data
For the python client you can use
img = client.images.get(IMAGE_ID)
and then call
client.images.data(img) # or img.data()
to retrieve generator by which you can access raw data of image.
Full example (saving image from glance to disk):
img = client.images.find(name='cirros-0.3.2-x86_64-uec')
file_name = "%s.img" % img.name
image_file = open(file_name, 'w+')
for chunk in img.data():
image_file.write(chunk)
You can do this using glance CLI with image-download command:
glance image-download [--file <FILE>] [--progress] <IMAGE>
You will have to install glance cli for this.
Also depending upon the cloud provider/service that you are using, this operation may be disabled for regular user. You might have to check with your provider.
I'm looking for a script that can allow someone to simply upload an image using CGI and will store the image in my /img/ folder. I tried using this one (http://webpython.codepoint.net/cgi_file_upload) but it gave this error:
<type 'exceptions.KeyError'>: 'file'
args = ('file',)
message = 'file'
Really anything simple will do. Just upload an image and save it.
Thanks!
I am trying to retrieve a photo (the .jpg file) from a Picasa album using the gdata Google API. However I did not find any method which does it, even though it is possible to upload a photo using methods like InsertPhoto and InsertPhotoSimple.
I guess I must be missing something :-(. A simple example would help.
Client API provides methods only for obtaining information on photos: http://code.google.com/apis/picasaweb/docs/1.0/developers_guide_python.html#Photos
To retrieve an image, use an HTTP GET with information previously obtained. Read the documentation.
For this purpose you may use a Python library:
httplib
urllib2