It seems likely that you can convert your Kubernetes pod spec into a Flyte task using the

@task

decorator and the

Pod

configuration from

flytekitplugins-pod

. You would define a

V1PodSpec

and

V1Container

using the Kubernetes Python client, then pass this to the Flyte task. Here’s a minimal example based on your YAML:

from flytekit import task
from flytekitplugins.pod import Pod
from kubernetes.client.models import V1Container, V1PodSpec, V1EnvVar, V1SecurityContext

@task(
    task_config=Pod(
        pod_spec=V1PodSpec(
            containers=[
                V1Container(
                    name="njest-api",
                    image="<http://artifacts.swf.i.mercedes-benz.com/adasdai-docker/config_2/sil_njest:mpu_pipeline-11110069_njest|artifacts.swf.i.mercedes-benz.com/adasdai-docker/config_2/sil_njest:mpu_pipeline-11110069_njest>",
                    security_context=V1SecurityContext(privileged=True, run_as_user=0),
                    env=[
                        V1EnvVar(name="PYTHONUNBUFFERED", value="1"),
                        V1EnvVar(
                            name="TEST_SUITES",
                            value_from={
                                "config_map_key_ref": {
                                    "name": "recompute-config-v4",
                                    "key": "TEST_SUITES"
                                }
                            }
                        ),
                    ],
                    command=["/bin/bash"],
                    args=[
                        "-c",
                        """
cat <<EOF > /home/initial_value_test.yml
TestSteps:
  1:
    WaitFor:
      Timeout: 200
      Variables:
        dwVehicleIOQMState.ignitionStatus_in: 3
  2:
    Wait: 1200
EOF
echo $TEST_SUITES &&
cd /home/julia/shared_memory_app/ && touch /dev/shm/api_started  && MBTestCaseParser --testcase /home/initial_value_test.yml &

until [ -f /dev/shm/recompute_ended ]; do
  sleep 1
done

exit
"""
                    ],
                )
            ]
        )
    )
)
def njest_api_task():
    pass

Note: The

value_from

field for environment variables may require using the Kubernetes Python client’s

V1EnvVarSource

and

V1ConfigMapKeySelector

for full compatibility. This code is a direct translation and may need minor adjustments for your Flyte and Kubernetes versions. Would you like a step-by-step breakdown or more details on handling

env.value_from

? Sources: - Flyte Pod Example 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

Reasoning Complete! 🤖 🔍 Searched knowledge base: To accurately convert your new pod spec, I'll look up the best way to handle volume mounts and resource requests in Flyte's pod task configuration. This will ensure your conversion is complete and follows Flyte's best practices. • Searching over 10 data sources from the following: File, Github File, Github Issue, Web • Found 58 documents that could be relevant from the following data sources: Github File, Github Issue, Github Pull Request, Web Content. • Filtered down to the top 30 most relevant documents. ✍️ Generated answer: I've reviewed your pod spec and confirmed that all its features can be mapped to Flyte's pod task using the Kubernetes Python client. I'll now provide you with a clear example of how to convert your YAML into a Flyte-supported pod spec.

It seems likely that you can convert this pod spec to a Flyte task using the

Pod

configuration from

flytekitplugins-pod

and the Kubernetes Python client. Here’s a direct translation:

from flytekit import task
from flytekitplugins.pod import Pod
from kubernetes.client.models import V1Container, V1PodSpec, V1SecurityContext, V1VolumeMount

@task(
    task_config=Pod(
        pod_spec=V1PodSpec(
            containers=[
                V1Container(
                    name="aurix",
                    image="europe-west4-docker.pkg.dev/mb-adas-2005-p-673d/dtp-dev-digtest-base-layer-base-repo/recompute/aurix:v1",
                    security_context=V1SecurityContext(privileged=True, run_as_user=0),
                    volume_mounts=[
                        V1VolumeMount(
                            name="chopped-storage",
                            mount_path="/home/root/logs",
                            sub_path="logs"
                        )
                    ],
                    command=["/bin/bash"],
                    args=[
                        "-c",
                        """
echo '#!/bin/sh
cd /home/opensutloader
./opensutloaderd --logfile /home/root/logs/loader_trace.log' > /home/opensutloader/simulation.sh &&

cd /home/opensutloader && chmod -R 777 /home/root/logs &&
chmod -R a+rx /home/opensutloader/simulation.sh &&

sed -i 's/^PcapOutputFilePath=.*/PcapOutputFilePath=\\/home\\/root\\/logs\\/aurix_trace.pcap/' /home/opensutloader/opensutloader.ini &&

sed -i '/^SimulationTime=/d' /home/opensutloader/opensutloader.ini && sed -i '2i SimulationTime=1000' /home/opensutloader/opensutloader.ini &&

until [ -f /dev/shm/adaptive_started ]; do
  sleep 1
done &
sudo taskset -c 0 /home/opensutloader/simulation.sh &

until [ -f /dev/shm/recompute_ended ]; do
  sleep 1
done
exit
"""
                    ],
                )
            ]
        )
    )
)
def aurix_task():
    pass

You may need to define the

chopped-storage

volume in your Flyte workflow or deployment, as this code only mounts it. Would you like more detail on volume definitions or resource requests? Sources: - Flyte Pod Example 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

I'm here to answer questions specifically about Flyte and related topics. I don't have the ability to erase or delete previous messages in this conversation. If you have any Flyte-related questions or need further assistance, please let me know! 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.