Hi @ancient-wolf-19325 can you provide a simple workflow to print heloo world in flyte v1.0

To create a simple "Hello World" workflow in Flyte v1.0, define a task using the @task decorator and a workflow using the @workflow decorator. Here is a minimal example:

from flytekit import task, workflow

@task
def say_hello() -> str:
    return "Hello, World!"

@workflow
def hello_world_wf() -> str:
    res = say_hello()
    return res

if __name__ == "__main__":
    print(f"Running hello_world_wf() {hello_world_wf()}")

This code can be run locally with python or using the Flyte CLI with pyflyte run hello_world.py hello_world_wf. For more, see the Flyte Hello World example and official quickstart guide. Would you like more detail on running this workflow or deploying it to a Flyte cluster? Sources: - https://github.com/flyteorg/flytesnacks/blob/master/examples/basics/basics/hello_world.py - https://github.com/flyteorg/flyte/blob/master/docs/user_guide/quickstart_guide.md 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

yes, in flyte cluster

To run the "Hello World" workflow on a Flyte cluster, first start a local demo Flyte cluster with flytectl demo start. Then, execute your workflow remotely using the following command:

pyflyte run --remote hello_world.py hello_world_wf

This will register and run the workflow on the cluster. You will receive a URL to the Flyte Console where you can monitor the execution. For more details, see the Flyte environment setup guide and quickstart guide. Would you like step-by-step instructions for setting up the cluster and running the workflow? Sources: - https://github.com/flyteorg/flyte/blob/master/docs/user_guide/environment_setup.md - https://github.com/flyteorg/flyte/blob/master/docs/user_guide/quickstart_guide.md 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

can you provide same in flyte v2.0? @ancient-wolf-19325

In Flyte v2.0, you define tasks using @env.task within a TaskEnvironment, and there is no @workflow decorator. Here is a minimal "Hello World" example:

import flyte

env = flyte.TaskEnvironment("hello_world")

@env.task
def hello_world(name: str) -> str:
    return f"Hello, {name}!"

@env.task
def main(name: str) -> str:
    for i in range(10):
        hello_world(name)
    return "Done"

if __name__ == "__main__":
    flyte.init()
    flyte.run(main, name="World")

Workflows are constructed by tasks calling other tasks. For more, see the Flyte 2 user guide. Would you like more detail on running this in a Flyte v2 cluster? Sources: - https://www.union.ai/docs/v2/flyte/user-guide/flyte-2/ 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

is it really require env.task for flyte 2? @ancient-wolf-19325

Yes, in Flyte 2, you must use @env.task to define tasks, where env is a TaskEnvironment object. This replaces the @task and @workflow decorators from Flyte 1, and is required for associating tasks with their execution environment and configuration. There is no @workflow decorator in Flyte 2; workflows are built by tasks calling other tasks within the same environment context. See the Flyte 2 user guide for details. Would you like more detail on how TaskEnvironment and @env.task work in Flyte 2? Sources: - https://www.union.ai/docs/v2/flyte/user-guide/flyte-2/ 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

now i a have code flyte v1 and i want to automatically migrate to v2 how to do? @ancient-wolf-19325

Automated migration from Flyte 1 to Flyte 2 is not yet available, but is planned for the future. Currently, you must migrate manually by: (1) moving task configuration to a TaskEnvironment object, (2) replacing @workflow and @task decorators with @env.task, and (3) leveraging new features like async/await and enhanced error handling. See the Flyte 2 migration guide for step-by-step instructions. Would you like a detailed example of how to convert a Flyte 1 workflow to Flyte 2? Sources: - https://www.union.ai/docs/v2/flyte/user-guide/flyte-2/migration/ 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.