There’s a cloud function in Python that processes some data when a file is uploaded to firebase’s bucket:

@storage_fn.on_object_finalized(bucket = "my-bucket", timeout_sec = timeout_sec, memory = memory, cpu = cpu, region='us-central1')
def validate_file_upload(event: storage_fn.CloudEvent[storage_fn.StorageObjectData]):
    process(event)

When it’s deployed via firebase cli the function works properly

firebase deploy --only functions:validate_file_upload

However, when the same function is deployed via gcloud

gcloud functions deploy validate_file_upload
--gen2 
--region=us-central1
.......
--entry-point=validate_file_upload
--trigger-event-filters="type=google.cloud.storage.object.v1.finalized" 
--trigger-event-filters="bucket=my-bucket"

When function is triggered, it fails with

TypeError: validate_file_upload() takes 1 positional argument but 2 were given

The reason is that when function is deployed viafirebase, GCP sends ‘Eventarc’ object as single argument to cloud function, but if it’s deployed via gcloud it sends two: (data, context) and naturally it causes exception

Even in the documentation it states there should be only 1 argument:

A Cloud Storage trigger is implemented as a CloudEvent function, in which the Cloud Storage event data is passed to your function in the CloudEvents format

https://cloud.google.com/functions/docs/calling/storage

How to make sure that gcloud deployment uses correct function prototype?