Deploy to Cloud Run
Before you begin
Install the Google Cloud CLI.
Set the PROJECT_ID environment variable:
export PROJECT_ID="my-project-id"
Initialize gcloud CLI:
gcloud init gcloud config set project $PROJECT_ID
Make sure you’ve set up and initialized your database.
You must have the following APIs enabled:
gcloud services enable run.googleapis.com \ cloudbuild.googleapis.com \ artifactregistry.googleapis.com \ iam.googleapis.com \ secretmanager.googleapis.com
To create an IAM account, you must have the following IAM permissions (or roles):
- Create Service Account role (roles/iam.serviceAccountCreator)
To create a secret, you must have the following roles:
- Secret Manager Admin role (roles/secretmanager.admin)
To deploy to Cloud Run, you must have the following set of roles:
- Cloud Run Developer (roles/run.developer)
- Service Account User role (roles/iam.serviceAccountUser)
Note
If you are using sources that require VPC-access (such as AlloyDB or Cloud SQL over private IP), make sure your Cloud Run service and the database are in the same VPC network.
Create a service account
Create a backend service account if you don’t already have one:
gcloud iam service-accounts create toolbox-identity
Grant permissions to use secret manager:
gcloud projects add-iam-policy-binding $PROJECT_ID \ --member serviceAccount:toolbox-identity@$PROJECT_ID.iam.gserviceaccount.com \ --role roles/secretmanager.secretAccessor
Grant additional permissions to the service account that are specific to the source, e.g.:
Configure tools.yaml
file
Create a tools.yaml
file that contains your configuration for Toolbox. For
details, see the
configuration
section.
Deploy to Cloud Run
Upload
tools.yaml
as a secret:gcloud secrets create tools --data-file=tools.yaml
If you already have a secret and want to update the secret version, execute the following:
gcloud secrets versions add tools --data-file=tools.yaml
Set an environment variable to the container image that you want to use for cloud run:
export IMAGE=us-central1-docker.pkg.dev/database-toolbox/toolbox/toolbox:latest
Deploy Toolbox to Cloud Run using the following command:
gcloud run deploy toolbox \ --image $IMAGE \ --service-account toolbox-identity \ --region us-central1 \ --set-secrets "/app/tools.yaml=tools:latest" \ --args="--tools-file=/app/tools.yaml","--address=0.0.0.0","--port=8080" # --allow-unauthenticated # https://cloud.google.com/run/docs/authenticating/public#gcloud
If you are using a VPC network, use the command below:
gcloud run deploy toolbox \ --image $IMAGE \ --service-account toolbox-identity \ --region us-central1 \ --set-secrets "/app/tools.yaml=tools:latest" \ --args="--tools-file=/app/tools.yaml","--address=0.0.0.0","--port=8080" \ # TODO(dev): update the following to match your VPC if necessary --network default \ --subnet default # --allow-unauthenticated # https://cloud.google.com/run/docs/authenticating/public#gcloud
Connecting with Toolbox Client SDK
You can connect to Toolbox Cloud Run instances directly through the SDK
Set up
Cloud Run Invoker
role access to your Cloud Run service.Set up Application Default Credentials for the principle you set up the
Cloud Run Invoker
role access to.Tip
If you’re working in some other environment than local, set up environment specific Default Credentials.
Run the following to retrieve a non-deterministic URL for the cloud run service:
gcloud run services describe toolbox --format 'value(status.url)'
Import and initialize the toolbox client with the URL retrieved above:
from toolbox_core import ToolboxClient, auth_methods auth_token_provider = auth_methods.aget_google_id_token # can also use sync method # Replace with the Cloud Run service URL generated in the previous step. async with ToolboxClient( URL, client_headers={"Authorization": auth_token_provider}, ) as toolbox:
Now, you can use this client to connect to the deployed Cloud Run instance!