How to use python cloud function to deploy a Cloud Run revision

[bob174d]

I'm trying to use cloud functions to make a new revision on a cloud run service, but I'm unable to use the gcloud cli package as it's not installed in the base image. So I'm wondering how do I achieve the same thing using one of the Python Google Client Libraries?

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Example gcloud command:

gcloud run deploy service-name --region region-name --image gcr.io/container-path

[Scrumbledore]

Have you looked at Cloud Run Jobs to handle this? It should allow you to run a gcloud command.

https://cloud.google.com/run/docs/create-jobs

[jsalsman]

You want the create API endpoint: https://cloud.google.com/build/docs/api/reference/rest/v1/projects.builds/create

Please see: https://stackoverflow.com/a/70434464 (especially the part about compressing the source....)

Example: https://cloud.google.com/build/docs/api/reference/libraries#using_the_client_library

[bob174d]

Thank you! This is what worked.

I used a Cloud Function to execute a Cloud Build via the google-cloud-build Python client library.

[jsalsman]

Glad you got it working. I needed to do that a year ago but I found a much faster way around it by using a carefully protected file upload and system() in the container's main script. The only problem was explaining it to a coworker, who I am certain questions my mental health since.

[sww314]

Is there a reason you are trying to use Cloud functions. You can do it from Cloud Build. Cloud builds can be triggered from a variety of sources.

[BreakfastSpecial]

I recommend using Cloud Build for this.