Hi! If I define a workflow with a dataclass/struct as input, along the lines of:

@dataclass_json
@dataclass
class Foo:
    bar: int
    baz: float
    

@workflow
def my_wf(foo: Foo):
    ...

Is it possible to introspect the fields of the

STRUCT

or is this checked at runtime?

sorry, what do you mean by introspecting the fields of the

STRUCT

Is there a way within

flytectl

or

FlyteRemote

to get the values and types of the struct? In the example above, what I would be interested in is to determine that

Foo

has two inputs

bar: int

and

baz: float

by inspecting the Workflow (or LaunchPlan)

my_wf

yes, you can use flyte remote to get the type and value. something like below:

from flytekit.configuration import Config
from flytekit.remote import FlyteRemote

remote = FlyteRemote(Config.auto(), default_project="flytesnacks", default_domain="development")
exec = remote.fetch_execution(name="f67cb4cc7ad6b46a6b80")
print(exec.inputs.get("foo").x)
print(type(exec.inputs.get("foo").y))
print(exec.inputs.variable_map) # Get JsonSchema of foo

@glamorous-carpet-83516 Would this also be possible for LaunchPlan which has not been executed yet? I.e. inspecting which parameters it would need (in case of a dataclass/Struct input)

yes, you can use

fetch_launch_plan

.

lp = remote.fetch_launch_plan(name="<http://raw_container.workflows.example.wf|raw_container.workflows.example.wf>")