kfp component ml_engine deploy version param is incorrectly typed

[jphines]

What steps did you take:

I tried to specify the version param to the gcp ml_engine deploy component via:

 mlengine_deploy_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0/components/gcp/ml_engine/deploy/component.yaml')

. . .

 upload_task = mlengine_deploy_op(
    model_id=model_id,
    project_id=project_id,
    python_version=python_version,
    runtime_version=runtime_version,
    version_id=version_id,
    model_uri=model_uri,
    model={
        'onlinePredictionLogging': True,
        'onlinePredictionConsoleLogging': True,
    },
    version={
        'packageUris': package_uris,
        'predictionClass': prediction_class,
    },
)

What happened:

Received a type error that str object (version) does not support assignment

Traceback (most recent call last):
  File "/usr/local/lib/python2.7/runpy.py", line 174, in _run_module_as_main
    "__main__", fname, loader, pkg_name)
  File "/usr/local/lib/python2.7/runpy.py", line 72, in _run_code
    exec code in run_globals
  File "/ml/kfp_component/launcher/__main__.py", line 34, in <module>
    main()
  File "/ml/kfp_component/launcher/__main__.py", line 31, in main
    launch(args.file_or_module, args.args)
  File "kfp_component/launcher/launcher.py", line 45, in launch
    return fire.Fire(module, command=args, name=module.__name__)
  File "/usr/local/lib/python2.7/site-packages/fire/core.py", line 127, in Fire
    component_trace = _Fire(component, args, context, name)
  File "/usr/local/lib/python2.7/site-packages/fire/core.py", line 366, in _Fire
    component, remaining_args)
  File "/usr/local/lib/python2.7/site-packages/fire/core.py", line 542, in _CallCallable
    result = fn(*varargs, **kwargs)
  File "kfp_component/google/ml_engine/_deploy.py", line 68, in deploy
    wait_interval)
  File "kfp_component/google/ml_engine/_create_version.py", line 55, in create_version
    version['deploymentUri'] = deployemnt_uri
TypeError: 'str' object does not support item assignment

What did you expect to happen:

I expected to be able to pass additional version parameters as a dictionary as described in https://cloud.google.com/ml-engine/reference/rest/v1/projects.models.versions and https://github.com/kubeflow/pipelines/blob/master/components/gcp/ml_engine/deploy/component.yaml#L64:L69

However, this type is being declared as a str when it should be a dict: https://github.com/kubeflow/pipelines/blob/master/components/gcp/container/component_sdk/python/kfp_component/google/ml_engine/_create_version.py#L47

This is ultimately based on the assumption that fire is using the docstring to do type hinting.

Environment:

How did you deploy Kubeflow Pipelines (KFP)?
Deployed via AI-Platform Pipelines

KFP version:

Build commit: 9c16e12

KFP SDK version:

kfp                      0.5.1
kfp-server-api           0.5.0

/kind bug
/area sdk