<@ULVA73B9P> or anyone else for that matter, I'm ...
# ask-community
j
@Marvin or anyone else for that matter, I'm trying to figure out if it's possible, and if so how, to create a deployment for a flow that will accept a variable number of arguments via **kwargs. When I define the flow this way, and then run it with multiple arguments, I'm getting the error:
Copy code
Engine execution of flow run ... exited with unexpected exception
Traceback (most recent call last):
  File "/usr/local/lib/python3.9/dist-packages/prefect/engine.py", line 42, in <module>
    run_flow(flow, flow_run=flow_run)
  File "/usr/local/lib/python3.9/dist-packages/prefect/flow_engine.py", line 862, in run_flow
    parameters=_flow_parameters(
  File "/usr/local/lib/python3.9/dist-packages/prefect/flow_engine.py", line 892, in _flow_parameters
    call_args, call_kwargs = parameters_to_args_kwargs(flow.fn, parameters)
  File "/usr/local/lib/python3.9/dist-packages/prefect/utilities/callables.py", line 188, in parameters_to_args_kwargs
    raise SignatureMismatchError.from_bad_params(
prefect.exceptions.SignatureMismatchError: Function expects parameters ['app_name', 'flow_path', 'kwargs'] but was provided with parameters ['app_name', 'flow_path', 'param_list_id', 'param_client_id']
m
It seems you're encountering a
SignatureMismatchError
when trying to use
*kwargs
in your flow deployment. This error occurs because the Prefect engine expects specific parameters that match the function signature of your flow, and it doesn't handle
*kwargs
directly in deployments. To resolve this, you can explicitly define the parameters that your flow can accept. Prefect deployments typically require a defined schema for parameters, which means you should specify each expected parameter explicitly rather than using
**kwargs
. Here's a brief outline of what you can do: 1. Define Parameters Explicitly: Instead of using
**kwargs
, list all the expected parameters in your flow function definition. 2. Use Prefect Variables: If you have parameters that might change often or need to be dynamic, consider using Prefect's variable management through the UI, CLI, or API to set these values. Prefect Variables Documentation For more detailed guidance on creating deployments, you can refer to the Prefect Deployment Documentation. If you need to handle a dynamic set of parameters, you might need to rethink how they are passed to the flow, possibly by using a dictionary or another data structure that you can unpack within the flow logic itself.
j
Don't know why I didn't think of passing the arguments as a dict. That worked perfectly for my use case. Thanks!
catjam 1