New RunLLM response generated: >>>*# Question* Hey i was trying to use the eager functionality. However, when example in tutorial i get this error:

in simple_eager_workflow out = await add_one(x=x) File "/usr/local/lib/python3.10/site-packages/flytekit/experimental/eager_function.py", line 164, in __call__ remote_entity = self.remote.fetch_task(name=entity_name) AttributeError: 'NoneType' object has no attribute 'fetch_task'

Can anyone help? Thanks # Answer The error you're encountering indicates that the

remote

attribute is not properly set in your eager workflow, leading to the

NoneType

object error when trying to fetch the task. This typically happens when the

FlyteRemote

object is not correctly configured or passed to the eager workflow. To resolve this, ensure that you have correctly configured the

FlyteRemote

object and passed it to the eager workflow. Here's an example of how to set up and use the

FlyteRemote

object in an eager workflow: 1. Configure FlyteRemote: Ensure you have a proper configuration file (e.g.,

config.yaml

) for your Flyte cluster. 2. Pass FlyteRemote to Eager Workflow: Use the

remote

parameter in the

@eager

decorator to pass the

FlyteRemote

object. Here's a complete example:

from flytekit import task
from flytekit.experimental import eager
from flytekit.remote import FlyteRemote
from flytekit.configuration import Config

# Define your tasks
@task
def add_one(x: int) -> int:
    return x + 1

@task
def double(x: int) -> int:
    return x * 2

# Configure FlyteRemote
remote = FlyteRemote(
    config=Config.auto(config_file="config.yaml"),
    default_project="flytesnacks",
    default_domain="development",
)

# Define your eager workflow
@eager(remote=remote)
async def simple_eager_workflow(x: int) -> int:
    out = await add_one(x=x)
    return await double(x=out)

# Execute the eager workflow locally
if __name__ == "__main__":
    import asyncio
    result = asyncio.run(simple_eager_workflow(x=5))
    print(f"Result: {result}")  # "Result: 12"

Make sure your

config.yaml

is correctly set up to point to your Flyte cluster. If you are using a sandbox cluster, you can use

Config.for_sandbox()

instead of

Config.auto(config_file="config.yaml")

. Would you like more detailed steps on setting up the configuration file or any other specific aspect? Sources: - flytekit.experimental.eager Slack Link https://flyte-org.slack.com/archives/CP2HDHKE1/p1722599457.936039 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.