<@U06RKAMK0UC> How do I register a launchplan? I d...
# ask-ai
s
@ancient-wolf-19325 How do I register a launchplan? I defined it in Python, but how do I make it show up in the UI?
j
To register a launch plan in Flyte, you can use the FlyteRemote API or the command line interface. If you have defined your launch plan in Python, you can register it programmatically using FlyteRemote. Here's a basic example:
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from flytekit import LaunchPlan, FlyteRemote, Config

# Define your launch plan
launch_plan = LaunchPlan.get_or_create(
    workflow=my_workflow,
    name="my_launch_plan",
    schedule=None,  # Add a schedule if needed
)

# Set up FlyteRemote
remote = FlyteRemote(config=Config.auto(), default_project="my_project", default_domain="development")

# Register the launch plan
remote.register_launch_plan(launch_plan)
Alternatively, you can register the launch plan using the command line with
pyflyte register
. This will make the launch plan available in the Flyte UI. Would you like more details on using the command line method? Sources: - FlyteRemote examples 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.
s
@ancient-wolf-19325 I did not get it to work with either. Using the RemoteApi I get
FlyteSystemUnavailableException: Flyte cluster is currently unavailable. Please make sure the cluster is up and running.
I have a local cluster running. Using
pyflyte register
I see a lot of green check marks, but then they do not show up in the UI
j
The error
FlyteSystemUnavailableException
suggests that the FlyteRemote client is unable to connect to your Flyte cluster. Ensure that your local cluster is running and that the configuration file used by FlyteRemote points to the correct endpoint. Verify that the
FLYTECTL_CONFIG
environment variable is set correctly to your local configuration file, and check that the Flyte services are accessible. For the
pyflyte register
command, if you see green check marks but the entities do not appear in the UI, it might be due to a mismatch in the project or domain settings. Ensure that the project and domain specified during registration match those configured in your Flyte UI. You can verify the registration by checking the logs for any warnings or errors that might indicate a problem. Would you like more detailed guidance on troubleshooting these issues? Sources: - https://github.com/flyteorg/flyte/issues/2884 - https://github.com/flyteorg/flyte/issues/5784 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.
s
I needed to run
export FLYTECTL_CONFIG=~/.flyte/config-sandbox.yaml
to make them show up with the
pyflyte regsiter
command
@ancient-wolf-19325 How do I make it work with programmatically registering the workflow? I always get
FlyteSystemUnavailableException: Flyte cluster is currently unavailable. Please make sure the cluster is up and running.
Do I need to add a config?
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remote = FlyteRemote(config=Config.auto(), default_project="schedule-test", default_domain="development")

remote.register_launch_plan(lp_scheduled, project="schedule-test", domain="development", version="0.0.1")
Adding
Config.auto(config_file="~/.flyte/config-sandbox.yaml")
also did not work
j
To resolve the
FlyteSystemUnavailableException
, ensure that the configuration used by
FlyteRemote
correctly points to your Flyte cluster. Here are some steps to troubleshoot and configure it: 1. Verify Configuration File: Ensure that your
~/.flyte/config-sandbox.yaml
file is correctly set up with the appropriate endpoint and other necessary settings. The endpoint should match the address where your Flyte cluster is running. 2. Explicit Configuration: Instead of using
Config.auto()
, explicitly specify the endpoint in your configuration. Here's an example:
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from flytekit.configuration import Config
   from flytekit.remote import FlyteRemote

   config = Config.for_endpoint(endpoint="http://localhost:30080", insecure=True)
   remote = FlyteRemote(config=config, default_project="schedule-test", default_domain="development")

   remote.register_launch_plan(lp_scheduled, project="schedule-test", domain="development", version="0.0.1")
3. Check Cluster Status: Ensure that your Flyte cluster is running and accessible. You can check the status of your cluster using
kubectl
commands if you're using Kubernetes. 4. Environment Variables: Make sure that any necessary environment variables, such as
FLYTECTL_CONFIG
, are set correctly in your shell session. Would you like more detailed guidance on any of these steps? Sources: - Running in a local cluster 👍 0 button 👎 1 button 💡 Hint: Mention @ancient-wolf-19325 in the thread for followups.