I’m having trouble with the video annotation API in my AWS-hosted Python Django app. Even though I set up the GOOGLE_APPLICATION_CREDENTIALS and followed the Google account setup steps, I’m still getting a 403 error.
Here’s a simplified version of my code:
import videointelligence
import io
def process_video(video_file):
client = videointelligence.VideoIntelligenceServiceClient()
features = [videointelligence.Feature.OBJECT_TRACKING]
with io.open(video_file, 'rb') as f:
content = f.read()
request = {
'features': features,
'input_content': content
}
result = client.analyze_video(request)
return result
# Usage
try:
output = process_video('my_video.mp4')
except Exception as e:
print(f'Error: {e}')
The error message talks about unregistered callers and advises using an API key. I was under the impression that the JSON credentials would handle authentication. Could someone explain if I’m missing a step in the setup process to resolve the 403 error?
I encountered a similar issue when integrating the Video Intelligence API. Ensure your IAM role for the AWS instance has permissions to access the credentials file. Additionally, verify the project ID in your JSON matches the one in your Google Cloud console. If the problem persists, try explicitly setting the credentials in your code:
from google.oauth2 import service_account
credentials = service_account.Credentials.from_service_account_file('/path/to/credentials.json')
client = videointelligence.VideoIntelligenceServiceClient(credentials=credentials)
This approach bypasses reliance on environment variables and might resolve the authentication problem.
I’ve dealt with this 403 error before, and it can be frustrating. One thing that helped me was double-checking the scope of the credentials. Make sure you’ve included the correct scope for the Video Intelligence API in your service account JSON file. It should be something like ‘https://www.googleapis.com/auth/cloud-platform’.
Also, I found that sometimes the error can be misleading. In my case, it turned out to be a billing issue. Ensure your Google Cloud project has billing enabled and that you haven’t hit any quotas or limits.
If none of that works, you might want to try using a different authentication method, like generating a short-lived access token. It’s a bit more complex, but it can help pinpoint where the authentication is failing.
Lastly, don’t forget to check your Google Cloud Console logs. Sometimes there are more detailed error messages there that can point you in the right direction.
hey sofiag, sounds like a tricky issue! have u double-checked ur JSON credentials file is in the right place? sometimes AWS can be finicky w/ file paths. also, make sure ur google cloud project has the Video Intelligence API enabled. if those don’t help, u might need to set up an API key after all. good luck!