ObjectViewer | 3D Object viewer using Qt 5.1 , OpenGL | 3D Animation library

In the sample code, the bucket statement bucket = client.get_bucket(BUCKETNAME) is used to list the bucket operation.

If you are to output the value you get as a response, rather than performing the client.get_bucket, you can pass this as a static value. By using a static value, you would not be utilizing the client.get_bucket operation which requires the storage.buckets.get permission.

You may also refer to a similar Stackoverflow case.

The error response code 9 (application startup error) is a fairly general error message indicating that the deployed program failed to start up for whatever reason, and so is not running properly (or the VM believes so). According to what you indicated, the app appears to be deployed to the VM, but the VM falls down after a while owing to the app failing to start.

For additional information on why it is crashing, check at the server logs in the Cloud Console.

After updating the gcloud components with the gcloud components update command, try deploying your app.

Make sure the SDK is running as an administrator.

If the error persists, try running the command gcloud app deploy app.yaml —verbosity=debug to see if you can get a more specific error.

Now according to the error message, there seems to be an issue with the docker image, that suggests checking if the image exists. I found Docker documentation that could help you according to the error message. Following the error, it also mentioned that the service account does not have permissions to pull the image, here is also how to require permissions documentation.

Configuring access control documentation that helps with permissions and roles, granting IAM permissions and Configuring public access to images.

Additional Artifact Registry documentation that was recommended at the end of the error message is Google Cloud's recommended solution for container image storage and management.

Artifact Registry expands the capabilities of Container Registry by providing a fully managed service that supports both container images and non-container artifacts.

Be very careful with commands that overwrite|set resource policies.

[As you've discovered] these commands replace policies; they don't combine existing policies with what's provided.

It's almost always safer to use the equivalent of add-iam-policy-binding.

I assumed that buckets would not have a specific default policy (as I assumed they'd inherit from the project), but they (appear to) do (so):

You could control the user list according to the environment, rather than trying to control the resource. So, something like this:

Yes, Google IAM is resource-centric (my understanding that AWS flips this and is identity-centric), you apply policies to resources.

Because the container (i.e. a Project) may contain many Buckets, you're only alternative is to apply the binding to the Project itself but then, every Bucket in the Project will have the binding.

The approach you're taking yields precision (only those buckets granted the role have it) albeit slightly onerous for the role binding phase (something done infrequently).

If I understand correctly, you need to iterate twice over inputs and over project-role-pairs. Thus, you can create a helper_list first as follows:

Found the problem and a fix, even though I don't know why it did not work earlier. I had to define the animate function inside the render function:

google_service_account.service_account.*.email evaluates to an array of 1 or 0 elements dependeing on var.enabled - while google_service_account.service_account[0].email evaluates to a string or to an error if var.enabled is false. So when using try() you want to evaluate to the string or in case of an error default to null

changing your output to the following should lead to the expected result of having an email output of type string.

Try any of the below formats for url formation of object in the bucket to access without getting logged in

http(s)://storage.googleapis.com//