Hi @ancient-wolf-19325 is it possible to have if d container is true only it should execute, if false means it should execute def dynamic_pod_spec(claim_name: str, execution_id: str, nimage: str, aimage: str, rimage: str) -> V1PodSpec: pod_spec = V1PodSpec( containers=[ V1Container( name="primary", image_pull_policy="Always", ), V1Container( name="a", V1Container( name="b", V1Container( name="c", V1Container( name="d", ) ] @task( task_config=Pod( pod_spec=dynamic_pod_spec_recompute(claim_name="abce", execution_id="abc"), ), container_image="flyte" )

It seems likely that Flyte does not natively support conditional inclusion of containers within a single PodSpec at runtime based on a boolean (e.g., "if d container is true only it should execute"). The PodSpec for a Flyte Pod task is constructed before execution, and all containers defined in the PodSpec will be created by Kubernetes when the task runs. Conditional logic for which containers are present must be handled in Python before constructing the PodSpec, not within the PodSpec itself or Flyte's task decorator. You would need to programmatically build the list of containers in your

dynamic_pod_spec

function based on your condition, e.g., only append the "d" container if your flag is True, and then pass the resulting PodSpec to the task. For example, you could do:

def dynamic_pod_spec(claim_name, execution_id, nimage, aimage, rimage, include_d):
    containers = [
        V1Container(name="primary", image_pull_policy="Always"),
        V1Container(name="a"),
        V1Container(name="b"),
        V1Container(name="c"),
    ]
    if include_d:
        containers.append(V1Container(name="d"))
    return V1PodSpec(containers=containers)

Then, pass

include_d=True

or

False

as needed when constructing the PodSpec for your task. This approach is consistent with how Flyte expects PodSpecs to be defined and used in tasks, as described in the Flyte pod template documentation. Would you like a more detailed example or further explanation? Sources: - Flyte pod template documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

can you provide full code @ancient-wolf-19325

My understanding is that you want a Flyte task where the PodSpec includes container "d" only if a Python boolean is True. You must construct the PodSpec dynamically in Python, then pass it to the task. Here’s a full example using the Kubernetes Python client and Flyte’s Pod integration:

from flytekit import task, workflow
from flytekitplugins.pod import Pod
from kubernetes.client import V1Container, V1PodSpec

def dynamic_pod_spec(include_d: bool) -> V1PodSpec:
    containers = [
        V1Container(name="primary", image_pull_policy="Always"),
        V1Container(name="a"),
        V1Container(name="b"),
        V1Container(name="c"),
    ]
    if include_d:
        containers.append(V1Container(name="d"))
    return V1PodSpec(containers=containers)

@task(
    task_config=Pod(
        pod_spec=dynamic_pod_spec(include_d=True),  # Set to False to exclude "d"
        primary_container_name="primary"
    ),
    container_image="flyte"
)
def my_pod_task() -> str:
    return "Pod task executed"

@workflow
def my_wf() -> str:
    return my_pod_task()

You can toggle

include_d

to control whether the "d" container is present. This matches the documented approach for dynamic pod configuration in Flyte tasks. Sources: - Flyte pod template documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

init containers and volumes also there can you include in above code @ancient-wolf-19325

Certainly! You can add init containers and volumes to the PodSpec in the same way. Here’s a complete example that includes both, and conditionally adds container "d":

from flytekit import task, workflow
from flytekitplugins.pod import Pod
from kubernetes.client import V1Container, V1PodSpec, V1Volume, V1EmptyDirVolumeSource, V1VolumeMount

def dynamic_pod_spec(include_d: bool) -> V1PodSpec:
    # Define volumes
    volumes = [
        V1Volume(
            name="shared-data",
            empty_dir=V1EmptyDirVolumeSource(medium="Memory")
        )
    ]
    # Define main containers
    containers = [
        V1Container(
            name="primary",
            image_pull_policy="Always",
            volume_mounts=[V1VolumeMount(name="shared-data", mount_path="/data")]
        ),
        V1Container(
            name="a",
            volume_mounts=[V1VolumeMount(name="shared-data", mount_path="/data")]
        ),
        V1Container(
            name="b",
            volume_mounts=[V1VolumeMount(name="shared-data", mount_path="/data")]
        ),
        V1Container(
            name="c",
            volume_mounts=[V1VolumeMount(name="shared-data", mount_path="/data")]
        ),
    ]
    if include_d:
        containers.append(
            V1Container(
                name="d",
                volume_mounts=[V1VolumeMount(name="shared-data", mount_path="/data")]
            )
        )
    # Define init containers
    init_containers = [
        V1Container(
            name="init",
            image="alpine",
            command=["/bin/sh"],
            args=["-c", "echo initializing > /data/init.txt"],
            volume_mounts=[V1VolumeMount(name="shared-data", mount_path="/data")]
        )
    ]
    return V1PodSpec(
        containers=containers,
        init_containers=init_containers,
        volumes=volumes
    )

@task(
    task_config=Pod(
        pod_spec=dynamic_pod_spec(include_d=True),  # Set to False to exclude "d"
        primary_container_name="primary"
    ),
    container_image="flyte"
)
def my_pod_task() -> str:
    return "Pod task executed"

@workflow
def my_wf() -> str:
    return my_pod_task()

This code creates a shared memory volume, mounts it in all containers (including the optional "d"), and adds an init container that writes a file to the shared volume. This approach is consistent with the Flyte pod template documentation. Would you like a step-by-step explanation? Sources: - Flyte pod template documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.