<@U06HBGN1SA0> after enabling auth how can I make ...
# ask-ai
o
@Glime after enabling auth how can I make my flyte pods always include the user as a label?
g
To ensure that your Flyte pods always include the user as a label after enabling authentication, you can leverage the FlyteRemote execution options to programmatically add labels to your pods. Specifically, you can use the
Labels
model from
flytekit.models.common
to set the desired labels, including the user label, when executing a workflow with FlyteRemote. Here's a step-by-step guide based on the provided context: 1. Use FlyteRemote for Workflow Execution: Utilize the
FlyteRemote
class from
flytekit.remote
to interact with your Flyte deployment programmatically. This allows you to fetch and execute workflows. 2. Set Labels via Execution Options: When executing a workflow with
FlyteRemote
, you can specify execution options using the
Options
class from
flytekit.remote.remote
. This includes setting labels for the pods that will be created as part of the workflow execution. 3. Include User as a Label: To include the user as a label, you can fetch the username from the environment (or any other mechanism suitable for your setup) and set it as a label in the execution options. For example, you can use
os.getenv("USER", "default_user")
to get the current user from the environment and then set it as a label. Here is an example code snippet demonstrating how to do this:
Copy code
from flytekit.configuration import Config, PlatformConfig from flytekit.models.common import Labels from flytekit.remote import FlyteRemote from flytekit.remote.remote import Options import os  # Configure the FlyteRemote instance config = Config.for_endpoint("your_flyte_endpoint", insecure=True) remote = FlyteRemote(config=config)  # Fetch the workflow you want to execute workflow = remote.fetch_workflow(project="your_project", domain="your_domain", name="your_workflow_name", version="your_version")  # Execute the workflow with user label user_label = os.getenv("USER", "na")  # Fetch the user from the environment remote.execute(workflow, inputs={"your_input": value}, options=Options(labels=Labels({"flyte.user": user_label})), project="your_project", domain="your_domain")
This approach allows you to dynamically add the user as a label to all pods generated as a result of launching a workflow, ensuring that the label is consistently applied across all executions.
o
@Glime is there any way to add the labels with just the flyte backend?
g
Based on the provided context, it appears that adding labels to Flyte pods, specifically after enabling authentication to include the user as a label, can be approached in several ways using the Flyte backend configurations and functionalities. However, there's no direct mention of a built-in feature that automatically adds user labels to pods upon authentication. The discussions and issues provided do not directly address this specific use case. To achieve this, you might consider a few indirect approaches mentioned in the discussions: 1. Webhooks: As suggested by Ketan (kumare3) in one of the discussions, webhooks can be used to modify pod specifications, including adding labels. This approach would involve setting up a mutating webhook that intercepts pod creation requests to the Kubernetes API and adds the desired labels based on the authenticated user information. This is a more Kubernetes-native solution and requires additional setup outside of Flyte's standard configuration. 2. Project and Execution Configuration: Another suggestion from the discussions involves adding labels at the project or execution level. While this method allows for the configuration of labels, it doesn't dynamically set labels based on the authenticated user without additional logic or tooling to update these configurations for each execution based on the user. 3. Custom Backend Plugin: Although not directly mentioned in the provided context, creating a custom backend plugin for Flyte could be a way to programmatically add labels, including user-specific labels, to pods. This would involve developing a plugin that interacts with the Flyte backend to modify the execution environment based on the authenticated user. Given the information available, it seems there isn't a straightforward method to automatically include the user as a label on Flyte pods purely through backend configuration without some level of customization or additional tooling. The closest suggestions involve using webhooks or configuring labels at the project or execution level, which may not fully meet the requirement of dynamically labeling pods with the user information upon authentication. For a definitive solution or to explore if there have been updates or new features added to Flyte that address this use case directly, I recommend consulting the official Flyte documentation or reaching out to the Flyte community through their discussion forums or GitHub issues for the most current and specific guidance.
o