@Marvin i created a prefect deployment, and it's not picking up the correct parameters. It only shows "args" and "kwargs" in the parameters section instead of the actual expected argument names. When I try to run it, I get the following error because it doesn't pick up the expected parameter names:

Response: {'detail': "Error creating flow run: Validation failed. Failure reason: 'args' is a required property"}

It seems like your issue with deployment parameters displaying as "args" and "kwargs" might be related to a known bug in Prefect. In some cases, the Prefect UI may not correctly display the parameters for deployments, showing only "args" and "kwargs" instead of the expected argument names. This issue is documented in a GitHub issue. Here are some steps you can try to resolve or work around this issue: 1. Check Your Deployment Configuration: Ensure that your deployment configuration correctly specifies the parameters. Double-check the YAML or JSON configuration used for your deployment. 2. Use JSON View: As a temporary workaround, you can try accessing the deployment parameters via the JSON option in the UI, as mentioned in the GitHub issue. 3. Update Prefect: Make sure you are using the latest version of Prefect, as updates might contain bug fixes for issues like this. 4. Report or Follow Up: If the problem persists and isn't resolved by an update, consider following the GitHub issue for any updates or contributing additional information if you have insights into the problem. For further assistance, you might want to engage with the Prefect community through their discussions or Slack channel. If you need more specific guidance on deployment configuration, please provide the configuration details, and I can assist further.

it's not just an issue in the UI--when i try to run the flow via command line, i can't pass in the actual parameters. i get the error:

The following parameters were specified but not found on the deployment: 'my-actual-param'

The following parameters are available on the deployment: 'args', 'kwargs'

The issue you're facing with deployment parameters being recognized as 'args' and 'kwargs' instead of their actual names could be due to a misconfiguration in how the parameters are defined in your deployment. This seems to be a common problem when the deployment's parameter schema is not set up correctly. Here's what you can do to address this: 1. Check Deployment Configuration: Ensure that your deployment configuration file (YAML or JSON) correctly defines the parameters with their expected names. Each parameter should be explicitly declared. 2. Define Parameters in Flow: Make sure that the parameters are defined in the flow function itself using Prefect's parameter handling. For example:

python
   from prefect import flow, task, Parameter

   @flow
   def my_flow(param1: str, param2: int):
       # Flow logic here

3. Update Deployment: When creating or updating a deployment, ensure that the parameter definitions match those in the flow function. Use the CLI or the Prefect UI to verify and set them correctly. 4. Use CLI for Deployment: If using the CLI to create or update deployments, ensure the command includes the correct parameter flags. Double-check the syntax and options available for your Prefect version. 5. Recreate Deployment: If the configuration seems correct but the issue persists, try deleting the existing deployment and recreating it with the correct parameters. If the problem continues, you may want to consult the Prefect documentation on deployments or seek further assistance from the Prefect community. If you have more details about your deployment configuration or how you're defining parameters, feel free to share them for more specific guidance.

@Marvin i tried some additional things, and it still won't work. Now, I can see the correct parameters in the Prefect UI for the associated deployment, but when I actually try to run the flow for that deployment, I get the following error:

prefect.exceptions.SignatureMismatchError: Function expects parameters ['args', 'kwargs'] but was provided with parameters ['actual_param_1', 'actual_param_2', ...]

The

SignatureMismatchError

you're encountering usually arises when the parameters provided to a flow or task do not match the expected signature. In Prefect 3.x, parameters must be passed as keyword arguments when running flows from the API, and not as positional arguments. Here are some key points and potential solutions: 1. Keyword Arguments Requirement: When creating flow runs via the Prefect API, parameters must be specified by name. This means you should ensure that all parameters are passed as keyword arguments, not positional ones. Source. 2. Decorators and Parameter Binding: There is a known issue where decorators can interfere with parameter binding, leading to

SignatureMismatchError

. This is because the decorator might alter the function signature, causing mismatches. If you're using decorators, ensure they are designed to handle both

args

and

kwargs

properly. More details on this issue can be found in this GitHub issue. 3. Deployment and Validation: If the flow is part of a deployment, ensure that the deployment's parameters match the flow's expected parameters. If there's a mismatch, the flow will fail to run. You can check and adjust the deployment parameters via the Prefect UI or YAML configuration. 4. Common 3.x Gotchas: Be aware that Prefect 3.x has several changes and gotchas, such as the replacement of agents with workers and the need to resolve futures manually. Make sure your environment and code are aligned with these updates. For further investigation, you might want to review the flow and task definitions, ensuring that all parameters align with the expected signatures. If you're using decorators, check their implementation to ensure they handle parameters correctly. If you need more specific guidance, feel free to share more details about your flow and its configuration.