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<@ULVA73B9P> I switched from a worker/agent workpo...
# ask-marvin
i
@Marvin I switched from a worker/agent workpool to a Push workpool both in ECS, new deploys now don't show me the flow parameters in the web UI. In the new implementation I am using the RunnerDeployment class and supplying and entry point like "script.py:flow" could this be the problem somehow?
m
It looks like you're experiencing an issue with the flow parameters not being displayed in the Prefect UI after switching to a Push workpool and using ECS. This change involved using the 
RunnerDeployment
class and setting up an entry point such as "script.py:flow". Here are some potential areas to explore based on the documentation: 1. Deployment Configuration: - When using deployments, ensure your flow's entry point and parameters in the deployment declaration match the expectations in your 
prefect.yaml
or deployment configuration file. It's crucial that these configurations align with what Prefect expects. You can refer to Prefect's documentation on deployments for more details on setting this up. 2. Parameter Passing: - Parameters for the flow should be correctly defined and passed as JSON key-value pairs in the deployment file. You may also need to ensure that any parameters provided are correctly named when using the Prefect API. The API requires parameters to be specified with keyword arguments rather than positional. 3. Push Workpools in ECS: - Make sure your ECS setup is correct, as infrastructure provisioning issues can sometimes prevent flows from registering parameters correctly. More guidance on ECS-specific setups can be found in the Prefect documentation for AWS ECS. Ultimately, it might be helpful to check that the flow parameters and their types are explicitly defined in your deployment configuration. If these steps don’t solve the problem, you might need to dive into further configurations or even explore Prefect's community forums or report the issue if it seems persistent and isolated. If none of this aligns with your experience, perhaps the issue lies elsewhere, possibly requiring a bit more detective work. After all, the universe is a large and befuddling place, so they say. Good luck!
i
@Marvin A little more context, the deployments happen using Python, no prefect.yaml. Push workpools are setup properly and I could test a flow without parameters. The flow parameters are properly annotated (I used to see the parmeters just fine when I used ECS agents for the same flow).
m
Given the context that you're deploying using Python and experiencing an issue with flow parameters not displaying when switching to a Push workpool with ECS, let's explore a few aspects based on the latest documentation: 1. Python Deployment: - Deploying directly via Python is indeed possible using the 
prefect.deployments.Deployment
class. You should ensure that the flow definitions and parameters are correctly specified when creating a deployment this way. This documentation link may help: Prefect Python Deployment. 2. Flow Parameter Handling: - Parameters should be annotated properly within your flows. Since you could see parameters using ECS agents, it suggests that the transition to a Push workpool might have inadvertently led to a configuration mismatch in how parameters are registered or read. - Double-check if the parameters are being properly passed through any deployment configuration you might have in your Python script. Any discrepancy in parameter data types or names can result in them not appearing. 3. Push Workpool Configuration: - Ensure the Push workpool setup is consistent with how parameters are handled. The Prefect 3.x documentation on work pools might have insights specific to your setup: Work Pools and ECS. Given these aspects, re-evaluating the parameter specification during deployment with your current Python configuration, and making sure there are no differences between the setup for ECS agents and Push workpools, might help identify the issue. If Prefect documentation doesn't resolve the situation, checking out community forums or reaching out for community support could be beneficial, as they can provide insights from similar experiences.
i
@Marvin The deployment is now happening with 
RunnerDeployment
m
When using the 
RunnerDeployment
class in Prefect, especially with an ECS Push workpool, it's important to ensure that the parameters are correctly set up within your deployment configuration. Here's what I found relevant to your situation: 1. Parameters in Deployment via Python: - When deploying flows using Python, and particularly the 
RunnerDeployment
class, it's crucial to set up your flow parameters properly. They are typically included through the parameters keyword argument when using methods like 
flow.deploy
. This allows you to specify default parameters that can still be overridden per deployment as needed. More details can be found here: Deploy via Python. 2. Entry Point and Parameter Annotation: - Your entry point should correctly reference the flow, e.g., "script.py:flow". Ensure that your flow's function signature includes all parameters you expect to use and that these match the annotations. The entry point must align with these parameters so Prefect can display and use them appropriately. 3. Work Pool Configuration: - The work pool setup, including job variables and other infrastructure specifics, can impact parameter handling. It may be that these configurations need to be revisited to ensure they align with the infrastructure setup you're now using: Work Pools. If you've switched to using the 
RunnerDeployment
in your deployments, double-check the method and arguments used in the Python script for deployment. If issues persist, exploring forum discussions or community support around 
RunnerDeployment
might offer additional contexts that are specific to your use case with ECS. And remember, it’s always a good idea to ensure everything is in lockstep with the official Prefect documentation and SDK features as they get updated.
n
hi @Idriss Bellil - when you say the parameters dont show, where are you looking? • when you're creating a new flow run? • on the deployment? and what does your 
.deploy()
code look like?
i
hi @Idriss Bellil - when you say the parameters dont show, where are you looking?
Hi @Nate Thanks for having a look! I am looking at the 
Run
-> 
Quick Run
or 
Custom Run
So yes, when I try to make a run of the deployment
regarding the last question, in the deploy(), I am using the 
RunnerDeployment
class
Copy code
deployment = RunnerDeployment(
            name=f"{flow_spec.flow_slug} [{deployment_idx}]",
            flow_name=flow_spec.flow_slug,
            paused=cfg.flow_schedule is None,
            parameters=dict(cfg.flow_parameters),
            entrypoint=f"{flow_spec.project_name}/{flow_name}/__init__.py:main_flow",
            enforce_parameter_schema=True,
            storage=runner_storage,
            work_pool_name=cfg.work_pool_name,
            work_queue_name=cfg.work_queue_name,
            job_variables={
                "env": env,
                "task_definition_arn": response["taskDefinition"]["taskDefinitionArn"],
            },
        )
        deployment.apply()
I will make a quick and dirty test with the .deploy() on a flow to see if that does it
n
any reason you're using 
RunnerDeployment
instead of 
<http://my_flow.to|my_flow.to>_deployment(...)
etc?
i
I don't recall the reason sorry, it was written by somebody else
n
gotcha, I would recommend 
<http://some_flow.to|some_flow.to>_deployment()
like the examples in docs if you need to deploy multiple at once otherwise all flows have a 
.deploy
method which takes the same kwargs
i
Thanks! I will switch it and make another test.
Yep, now it's good, thanks a lot.
n
👍
i
The reasoning for the 
RunnerDeployment
was to not download (with flow.from_source()) the flows just to deploy them.
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