I'm trying to work with Buffer API and buffer a tweet with an image. In documentation it says to pass the image link in media[] associative array as an argument for POST request. But what if I want to upload a local image? I tried an absolute and a relative paths to the local file but it doesn't work. I get an 'invalid image parameter supplied' error. Here is my code.
POST_IMG = os.path.dirname(os.path.abspath(__file__)) + r'\output.jpg'
data={'profile_ids[]': twitter_id, 'text': 'Twitter text', 'media[photo]': POST_IMG}
requests.post(f'https://api.bufferapp.com/1/updates/create.json?access_token={ACCESS_TOKEN}', data=data)
Related
I am a very new to Python and Facebook Graph API and hope you can help me out with this:
I have writted (in Python) a peace of code that uploads images tu a page on facebook (in a post, so it contains some text too) and this works as expected. Now I am trying to write a peace of code capable of downloading thhe image inside a post (given post_id). Unfortunately I always get "file corrupted " error.
Here is the code I use to download the image:
# this function uploads an image from a web url
ret = upload_img_to_fb(url)
# decode JSON from the request
post_id = json.loads(ret)
ret = get_json_from_fb_postID(post_id['post_id'])
perm_url = json.loads(ret)
print('Perm url = ' + perm_url['permalink_url'] + '\n')
img_response = requests.get(perm_url['permalink_url'])
image = open("foto4.jpg","wb")
image.write(img_response.content)
image.close()
Now, the print will print the following:
Perm url = https://www.facebook.com/102956292308044/photos/a.103716555565351/107173241886349/?type=3
which, acording to what I understood makes everything wrong because it is not a picture, even if a picture is displayed on the screen. So I right clicked the pic and opened it's link and I got:
https://scontent.fbzo1-2.fna.fbcdn.net/v/t39.30808-6/273008252_107171558553184_3697853178128736286_n.jpg?_nc_cat=103&ccb=1-5&_nc_sid=9267fe&_nc_ohc=d0ZvWSTzIogAX-PsuzN&_nc_ht=scontent.fbzo1-2.fna&oh=00_AT8GWh0wDHgB6tGCzHuPE2VZFus9EgWhllaJfVkZ-Nqtow&oe=620465E4
and if I pass this last link as parameter to img_response = requests.get() it works.
How do I get around this?
I'm working for the first time with IBM Watson Visual Recognition. My Python app needs to pass images that it's managing in memory to the service. However, the rather limited documentation and sample code I've been able to find from IBM shows calls to the API as referencing saved files. The file is passed to the call as an io.BufferedReader.
with open(car_path, 'rb') as images_file:
car_results = service.classify(
images_file=images_file,
threshold='0.1',
classifier_ids=['default']
).get_result()
My application will be working with images from memory and I don't want to have to save every image to file before I can make a call. I tried replacing the BufferedReader with an io.BytesIO stream, and I got back an error saying I was missing an images_filename param. When I added a mock filename (e.g. 'xyz123.jpg') I get back the following error:
TypeError: a bytes-like object is required, not 'float'
Can I make calls to the analysis API using an image from memory? If so, how?
EDIT:
This is essentially what I'm trying to do:
def analyze_image(pillow_img: PIL.Image):
byte_stream = io.BytesIO()
pillow_img.save(byte_stream, format='JPEG')
bytes_img = byte_stream.getvalue()
watson_vr = VisualRecognitionV3(
'2019-04-30',
url='https://gateway.watsonplatform.net/visual-recognition/api',
iam_apikey='<API KEY>'
)
result_json = watson_vr.classify(
images_file=bytes_img,
threshold=0.1,
classifier_ids=['default']
).get_result()
Thanks
How about
bytes_img = byte_stream.getbuffer()
...
result_json = watson_vr.classify(
images_file=bytes_img,
threshold=0.1,
classifier_ids=['default']
).get_result()
or
with byte_stream as images_file:
result_json = watson_vr.classify(
images_file=images_file,
threshold='0.1',
classifier_ids=['default']
).get_result()
I have searched the web far and wide for a still working example of uploading a photo to facebook through the Python API (Python for Facebook). Questions like this have been asked on stackoverflow before but non of the answers I have found work anymore.
What I got working is:
import facebook as fb
cfg = {
"page_id" : "my_page_id",
"access_token" : "my_access_token"
}
api = get_api(cfg)
msg = "Hello world!"
status = api.put_wall_post(msg)
where I have defined the get_api(cfg) function as this
graph = fb.GraphAPI(cfg['access_token'], version='2.2')
# Get page token to post as the page. You can skip
# the following if you want to post as yourself.
resp = graph.get_object('me/accounts')
page_access_token = None
for page in resp['data']:
if page['id'] == cfg['page_id']:
page_access_token = page['access_token']
graph = fb.GraphAPI(page_access_token)
return graph
And this does indeed post a message to my page.
However, if I instead want to upload an image everything goes wrong.
# Upload a profile photo for a Page.
api.put_photo(image=open("path_to/my_image.jpg",'rb').read(), message='Here's my image')
I get the dreaded GraphAPIError: (#324) Requires upload file for which non of the solutions on stackoverflow works for me.
If I instead issue the following command
api.put_photo(image=open("path_to/my_image.jpg",'rb').read(), album_path=cfg['page_id'] + "/picture")
I get GraphAPIError: (#1) Could not fetch picture for which I haven't been able to find a solution either.
Could someone out there please point me in the right direction of provide me with a currently working example? It would be greatly appreciated, thanks !
A 324 Facebook error can result from a few things depending on how the photo upload call was made
a missing image
an image not recognised by Facebook
incorrect directory path reference
A raw cURL call looks like
curl -F 'source=#my_image.jpg' 'https://graph.facebook.com/me/photos?access_token=YOUR_TOKEN'
As long as the above calls works, you can be sure the photo agrees with Facebook servers.
An example of how a 324 error can occur
touch meow.jpg
curl -F 'source=#meow.jpg' 'https://graph.facebook.com/me/photos?access_token=YOUR_TOKEN'
This can also occur for corrupted image files as you have seen.
Using .read() will dump the actual data
Empty File
>>> image=open("meow.jpg",'rb').read()
>>> image
''
Image File
>>> image=open("how.png",'rb').read()
>>> image
'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00...
Both of these will not work with the call api.put_photo as you have seen and Klaus D. mentioned the call should be without read()
So this call
api.put_photo(image=open("path_to/my_image.jpg",'rb').read(), message='Here's my image')
actually becomes
api.put_photo('\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00...', message='Here's my image')
Which is just a string, which isn't what is wanted.
One needs the image reference <open file 'how.png', mode 'rb' at 0x1085b2390>
I know this is old and doesn't answer the question with the specified API, however, I came upon this via a search and hopefully my solution will help travelers on a similar path.
Using requests and tempfile
A quick example of how I do it using the tempfile and requests modules.
Download an image and upload to Facebook
The script below should grab an image from a given url, save it to a file within a temporary directory and automatically cleanup after finished.
In addition, I can confirm this works running on a Flask service on Google Cloud Run. That comes with the container runtime contract so that we can store the file in-memory.
import tempfile
import requests
# setup stuff - certainly change this
filename = "your-desired-filename"
filepath = f"{directory}/{filename}"
image_url = "your-image-url"
act_id = "your account id"
access_token = "your access token"
# create the temporary directory
temp_dir = tempfile.TemporaryDirectory()
directory = temp_dir.name
# stream the image bytes
res = requests.get(image_url, stream=True)
# write them to your filename at your temporary directory
# assuming this works
# add logic for non 200 status codes
with open(filepath, "wb+") as f:
f.write(res.content)
# prep the payload for the facebook call
files = {
"filename": open(filepath, "rb"),
}
url = f"https://graph.facebook.com/v10.0/{act_id}/adimages?access_token={access_token}"
# send the POST request
res = requests.post(url, files=files)
res.raise_for_status()
if res.status_code == 200:
# get your image data back
image_upload_data = res.json()
temp_dir.cleanup()
if "images" in image_upload_data:
return image_upload_data["images"][filepath.split("/")[-1]]
return image_upload_data
temp_dir.cleanup() # paranoid: just in case an error isn't raised
I am trying to use this api: ImageSimilarity with the Python endpoint.
Any ideas on how to load local images in the API? The example shows:
[ "data://zskurultay/ImageDemo/butterfly1.png",
"data://zskurultay/ImageDemo/butterfly1.png"]
Yet when I pass as input1 a local image for example with:data://home/username/path/to/image.png yelds the error:
Exception: algorithmia.api.APIException: Unexpected API response, status 400,
url http://172.17.42.1:4160/v1/data/home/username/path/to/image.png:
{"error":{"message":"Path invalid"}}
data:// is for Algorithmia cloud images. (You can create your own bucket in their cloud.) To access my local images I try to use different code like,
algo = client.algo( '... alg name ....')
image = base64.b64encode( open( infile, "rb").read())
image_alg = algo.pipe( {'image':'data:image/jpg;base64,' + image.decode('ascii')})
return image_alg.result
But I am still searching for the right tools.
I keep my images in the DB as blobs:
class MyClass(db.Model):
icon=db.BlobProperty()
Now, I want to send the blob to my HTML like this :
lets say I have myClass as an instance of MyClass
result = """<div img_attr=%s> Bla Bla </div>""" % (myClass.icon)
Some how it doesn't work. Do you have any idea?
You cannot just dump raw image data into your html page. You need to do this in two pieces:
In your html, you need to refer to an image file:
result = "<div>"
"<img src='{0}' />"
"</div>"
.format(MYSITE + MYIMAGEDIR + myClass.name)
Your browser reads the html page, finds out you want to include an image, and goes looking for the image file to include - so it asks your site for something like http://www.myexample.com/images/icon01.jpg
Now, separately, you respond to this second request with the image content, as #anand has shown.
Your code suggests that you are working on Google application engine with Django.
You just need to query the image in your view and return it as http response.
image = myclassObject.icon
response = HttpResponse(image)
response['Content-Type'] = 'image/jpg'
return response
The value stored in the the data store, and returned by appengine with a db.BlobProperty is not the actual bytes of the blob, but rather a BlobKey that is used to reference it. There are two ways you can use that key. You can create a BlobReader to load the bytes of the blob from the BlobStore into your app, or you can craft a response with ServeHandler.send_blob to transfer those bytes to the client.
Doing the second one in Django is a bit of a headache, because ServeHandler doesn't really fit in well with the Django request processing stack. Here's a view that will do it for you without too much trouble:
def get_image_data(request, key, filename):
"serve original uploaded image"
# verify the users' ability to get the requested image
key = urllib.unquote(key)
img = _load_metadata(request, key)
blob = img.data;
blobkey = blob.key()
# and tell google to serve it
response = http.HttpResponse(
content='',
content_type=blob.content_type)
response['X-AppEngine-BlobKey'] = str(blobkey)
return response