@Glime How do I mount a Kubernetes secret as an environment variable available for a Flyte task?

To mount a Kubernetes (k8s) secret as an environment variable available for a Flyte task, you can follow these steps: 1. Define the Secret in Kubernetes: First, ensure that your secret is created in Kubernetes. You can do this using the

kubectl

command. For example, to create a secret named

my-secret

with the key

AWS_SECRET_ACCESS_KEY

, you would use:

kubectl create secret generic my-secret --from-literal=AWS_SECRET_ACCESS_KEY=<your-secret-value>

2. Use the Secret in a Flyte Task: In your Flyte task, specify the secret request using the

Secret

object from

flytekit

. You need to set the

mount_requirement

to

Secret.MountType.ENV_VAR

to ensure the secret is mounted as an environment variable. Here is an example task that demonstrates how to do this:

from flytekit import task, workflow     from flytekit.types.file import FlyteFile     from flytekitplugins.pod import Secret      @task(secret_requests=[Secret(group="my-secret", key="AWS_SECRET_ACCESS_KEY", mount_requirement=Secret.MountType.ENV_VAR)])     def my_task() -> str:         # Access the secret value from the environment variable         secret_val = os.environ["AWS_SECRET_ACCESS_KEY"]         return secret_val

In this example,

my-secret

is the name of the Kubernetes secret, and

AWS_SECRET_ACCESS_KEY

is the key within that secret. The secret's value will be available in the task's environment as the variable

AWS_SECRET_ACCESS_KEY

. 3. Deploy and Run Your Task: After defining your task with the secret request, deploy your Flyte workflow as usual. The Flyte system will automatically inject the specified secret as an environment variable into your task's execution environment. Remember, the secret must exist in the same Kubernetes namespace as where your Flyte workflows are being executed. Also, ensure that the service account used by Flyte has the necessary permissions to read secrets in the namespace.