[BUG] structured dataset (constructed by dataframe but not uri) in dataclass will fail in attribute access

[Future-Outlier]

Describe the bug

the below error will show.

The above exception was the direct cause of the following exception:

╭───────────────────── Traceback (most recent call last) ──────────────────────╮
│ /Users/future-outlier/code/dev/flytekit/build/PR/pr_3027_sd.py:47 in         │
│ <module>                                                                     │
│                                                                              │
│ ❱ 47 │   print(wf())                                                         │
│                                                                              │
│ /Users/future-outlier/code/dev/flytekit/flytekit/core/workflow.py:299 in     │
│ __call__                                                                     │
│                                                                              │
│ ❱ 299 │   │   self.compile()                                                 │
│                                                                              │
│ /Users/future-outlier/code/dev/flytekit/flytekit/core/workflow.py:804 in     │
│ compile                                                                      │
│                                                                              │
│ ❱ 804 │   │   │   │   raise FlyteValidationException(                        │
╰──────────────────────────────────────────────────────────────────────────────╯
FlyteValidationException: USER:ValidationError: error=Failed to bind output o0 
for function pr_3027_sd.wf: 'Promise' object has no attribute 'uri', 
cause='Promise' object has no attribute 'uri'

Expected behavior

it should work.

Additional context to reproduce

from flytekit import task, workflow, ImageSpec
from flytekit.types.structured.structured_dataset import StructuredDataset
import pandas as pd
from dataclasses import dataclass


flytekit_hash = "master"
flytekit = f"git+https://github.com/flyteorg/flytekit.git@{flytekit_hash}"

custom_image = ImageSpec(packages=[flytekit, "pandas", "pyarrow"],
                            apt_packages=["git"],
                            registry="futureoutlier",
                            env={"FLYTE_SDK_LOGGING_LEVEL": 10},
                         )

@dataclass
class DC:
    sd: StructuredDataset


@task(container_image=custom_image)
def create_pd_sd_dc() -> DC:
    return DC(sd=StructuredDataset(
        dataframe=pd.DataFrame(
            {
                "calories": [420, 380, 390],
                "duration": [50, 40, 45]
            }
        ),
        file_format="parquet"
    ))


@task(container_image=custom_image)
def return_pd_sd(sd: StructuredDataset) -> StructuredDataset:
    return sd


@workflow
def wf() -> DC:
    dc = create_pd_sd_dc()
    sd = return_pd_sd(dc.sd)
    return DC(sd=sd)


if __name__ == "__main__":
    print(wf())

Screenshots

Are you sure this issue hasn't been raised already?

• Yes

Have you read the Code of Conduct?

• Yes

[JiangJiaWei1103]

#take