[FlyteSchema] Fix numpy problems

[Future-Outlier]

Tracking issue

Why are the changes needed?

If we import FlyteSchema when using flytekit, we don't want to import numpy.
We have to do it by try ... catch

What changes were proposed in this pull request?

How was this patch tested?

Unit Tests, local execution and remote execution.

Setup process

from dataclasses import dataclass
from typing import Union, List
from flytekit import task, workflow, ImageSpec
from flytekit.types.directory import FlyteDirectory
from flytekit.types.file import FlyteFile

flytekit_hash = "8a982ccae43c2ce7e08b36af883c81eb080b9712"
flytekit = f"git+https://github.com/flyteorg/flytekit.git@{flytekit_hash}"

image = ImageSpec(
    # python_version="3.9",
    python_version="3.10",
    # python_version="3.11",
    # python_version="3.12",
    packages=[flytekit],
    apt_packages=["git"],
    registry="localhost:30000",
)
# image = "cr.flyte.org/flyteorg/flytekit:py3.12-1.13.1a3"
@dataclass
class MyDataClass:
    output_file: FlyteFile
    output_directory: FlyteDirectory

@task(container_image=image)
def my_flyte_workflow(b: bool) -> List[Union[MyDataClass, None]]:
    if b:
        return [MyDataClass(output_file=__file__, output_directory=".")]
    return [None]

@task(container_image=image)
def my_flyte_task(inputs: List[Union[MyDataClass, None]]) -> bool:
    print(inputs)
    return inputs and inputs[0] is not None

@workflow
def main_flyte_workflow(b: bool = False) -> bool:
    inputs = my_flyte_workflow(b=b)
    return my_flyte_task(inputs=inputs)

if __name__ == "__main__":
    print(f"Running {__file__} main...")
    print(f"Running {main_flyte_workflow(b=True)}")
    print(f"Done running {__file__} main...")

Screenshots

local execution

remote execution

python 3.9 to python 3.12

Check all the applicable boxes

• I updated the documentation accordingly.
• All new and existing tests passed.
• All commits are signed-off.

Related PRs

Docs link

[Future-Outlier]

datetime click_types fixed: