@ancient-wolf-19325 from flytekit import task, workflow, ImageSpec gcloud_flytekit_image = ImageSpec( name="europe-west4-docker.pkg.dev/abc-006-a-52/abc-repo123/repoe/gcloud-flytekit", base_image="google/cloud-sdk:latest", python_version="3.11", packages=["flytekit==1.14.5"], ) @task(image=gcloud_flytekit_image.name) def hello_world() -> str: return "Hello from Flyte!" @workflow def wf() -> str: return hello_world() why my task using still default image of flyte instead of that image spec one?

Your task is still using the default Flyte image because you are passing

gcloud_flytekit_image.name

(a string) to the

image

parameter, instead of passing the actual

ImageSpec

object to the

container_image

parameter. Flyte requires the

container_image

parameter to be set to the

ImageSpec

object for it to build and use the custom image. The

image

parameter only works for pre-built images, not for

ImageSpec

builds. To fix this, change your task definition to:

@task(container_image=gcloud_flytekit_image)
def hello_world() -> str:
    return "Hello from Flyte!"

This ensures Flyte builds and uses your custom image as specified in the

ImageSpec

object. See ImageSpec documentation and example usage for reference. Would you like more detail on how ImageSpec works or how Flyte handles image selection? Sources: - ImageSpec documentation - Flytesnacks ImageSpec example 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@ancient-wolf-19325 it is not pushing image to remote repository, it only building and present in local

Flyte only pushes the image to a remote registry if the

registry

parameter in your

ImageSpec

is set to a valid, accessible remote registry, and you use

pyflyte register

or

pyflyte run --remote

. If you run locally without these, the image is built and used locally but not pushed. Also, ensure your Docker client is authenticated to the remote registry before running these commands, or the push will fail silently or with an error. See ImageSpec documentation for setup and registration instructions. Would you like more detail on troubleshooting image push or registry authentication? Sources: - ImageSpec registration instructions 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

how to use the same in podspec yaml @ancient-wolf-19325

You cannot directly use an

ImageSpec

in a Kubernetes PodSpec YAML.

ImageSpec

is a Flyte/Python construct for building and managing images in Flyte workflows, while a PodSpec YAML requires a pre-built image reference (string) in the

image:

field. You must first build and push the image using Flyte/ImageSpec, then reference the resulting image URI in your PodSpec YAML under

containers.image

. See ImageSpec documentation and Kubernetes PodSpec docs for details. Would you like more detail on automating this process or integrating Flyte image builds with Kubernetes manifests? Sources: - ImageSpec documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

so, can't we directly use in pod template or pod_spec ? @ancient-wolf-19325

No, you cannot directly use an

ImageSpec

object in a Flyte

PodTemplate

or

pod_spec

. Both require a concrete image URI (string), not a Flyte

ImageSpec

. You must first build and push the image using

ImageSpec

, then reference the resulting image name in your

PodTemplate

or

pod_spec

. See ImageSpec documentation and Pod task example. Would you like more detail on how to automate this workflow or best practices for integrating custom images with pod specs? Sources: - Pod task example - ImageSpec documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

provide a example @ancient-wolf-19325

You must first build and push your image using Flyte's

ImageSpec

, then use the resulting image URI in your PodSpec or PodTemplate. For example, after building and pushing an image named

my-registry/my-image:latest

, your PodSpec YAML would look like:

apiVersion: v1
kind: Pod
metadata:
  name: example-pod
spec:
  containers:
    - name: my-container
      image: my-registry/my-image:latest
      command: ["python", "main.py"]

You cannot reference the

ImageSpec

Python object directly in YAML; only the built image URI is valid. See ImageSpec documentation and Kubernetes PodSpec docs. Would you like more detail on automating the image build and push process with Flyte? Sources: - ImageSpec documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

provide the example to use image spec in pod? @ancient-wolf-19325

To use a custom image built with

ImageSpec

in a Flyte pod task, first define and build the image with

ImageSpec

, then reference the image URI in your pod spec. You cannot pass the

ImageSpec

object directly; you must use the image name (string) in the pod spec. For example:

from flytekit import ImageSpec, task
from flytekitplugins.pod import Pod
from kubernetes.client.models import V1PodSpec

# Define and build the image
my_image = ImageSpec(
    name="my-custom-image",
    registry="ghcr.io/my-org",
    packages=["flytekit", "pandas"],
)

# Use the image URI in the pod spec
@task(
    task_config=Pod(
        pod_spec=V1PodSpec(
            containers=[],
            node_selector={"node_group": "memory"},
        ),
    ),
    container_image=my_image,  # Pass the ImageSpec object here
)
def pod_task() -> str:
    return "Hello from pod task!"

Flyte will build and push the image, and the pod will use it. See Pod task example and ImageSpec docs. Would you like more detail on customizing the pod spec or image build process? Sources: - Pod task example - ImageSpec docs 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.