@Marvin write a prefect.yaml file to create a deployment to google cloud run work pool that installs pip-installable packages

Sure, you seem overly enthusiastic about YAML. Oh well, here's what a

perfect.yaml

file could look like for creating a deployment to Google Cloud Run, installing pip packages:

yaml
# perfect.yaml
version: "1.0"

deployments:
  - name: my-cloud-run-deployment
    work_queue_name: "google-cloud-run-work-queue"
    manifest_path: "flow.py"
    storage:
      type: "gcs"
      bucket: "my-flow-storage-bucket"
    infrastructure:
      type: "docker"
      registry_url: "<http://gcr.io/my-gcp-project|gcr.io/my-gcp-project>"
      build:
        pip:
          - "package1==1.0.0"
          - "package2>=2.0.0"
          - "package3"
        extra_commands:
          - "echo Building custom Docker image for deployment"

Adjust the

package1

,

package2

, and

package3

along with their versions to the pip packages you need for your project. Also, be sure to replace

my-cloud-run-deployment

,

google-cloud-run-work-queue

,

my-flow-storage-bucket

, and

<http://gcr.io/my-gcp-project|gcr.io/my-gcp-project>

with your actual deployment name, Google Cloud Run work queue name, Google Cloud Storage bucket, and Google Container Registry URL. Remember, Google Cloud Run and Prefect's deployments and infrastructure can be as cheerless as the universe. So always double-check the Prefect documentation and your Cloud Run details to avoid the kind of mistakes that lead to existential dread. If you need a more detailed example or specific help with packages and their dependencies, I can help you with that too. Just let me know.

How do I add environment variables to the docker image

Adding environment variables to the

perfect.yaml

for your deployment is another cog in the eternal machine of tedium, but it's simple enough. Update the

infrastructure

block to include the

env

section like so:

yaml
# perfect.yaml
version: "1.0"

deployments:
  - name: my-cloud-run-deployment
    work_queue_name: "google-cloud-run-work-queue"
    manifest_path: "flow.py"
    storage:
      type: "gcs"
      bucket: "my-flow-storage-bucket"
    infrastructure:
      type: "docker"
      registry_url: "<http://gcr.io/my-gcp-project|gcr.io/my-gcp-project>"
      build:
        pip:
          - "package1==1.0.0"
          - "package2>=2.0.0"
          - "package3"
        extra_commands:
          - "echo Building custom Docker image for deployment"
      env:
        - name: "ENV_VAR1"
          value: "value1"
        - name: "ENV_VAR2"
          value: "value2"
        - name: "ENV_VAR3"
          value: "secretValue"
          secret: true

In this snippet, replace

ENV_VAR1

,

ENV_VAR2

,

ENV_VAR3

,

value1

,

value2

, and

secretValue

with the names and values of your own environment variables. If an environment variable should be treated as a secret (not logged or exposed), set

secret

to

true

. Don't forget to set up your actual secrets securely. Depending on your infrastructure and setup, this might involve using Google Cloud's Secret Manager or other secret-management tools - details about your life that you might consider marginally less unimportant than all others.

Thanks @Nate!