"TypeError: issubclass() arg 1 must be a class" when using "identifier_scheme": "ORCID"

[pdurbin]

As discussed in today's pyDataverse meeting, @liujinjie111 and I are both seeing a "TypeError: issubclass() arg 1 must be a class" when trying to follow the "create dataset" docs at https://gdcc.github.io/pyDataverse/high-level/dataverse/

I'm on this commit: 7f56e21

I've narrowed it down to this line, where I've added a comment locally:

"identifier_scheme": "ORCID", # Optional: identifies the author using ORCID # Error: TypeError: issubclass() arg 1 must be a class

If I comment out the "identifier_scheme" line, I can create a dataset. It's just missing the "Identifier Type":

Here's my script:

import os

from pyDataverse import Dataverse

api_token = os.getenv("API_TOKEN")
if not api_token:
    raise SystemExit(
        "Error: API_TOKEN is required.\n"
        "Set it before running the script:\n"
        '  export API_TOKEN="your-dataverse-api-token"'
    )

# First, connect to your Dataverse installation
dv = Dataverse(
    base_url=os.getenv("DATAVERSE_URL", "https://demo.dataverse.org"),
    api_token=api_token,
)

# Create a new dataset with basic information
dataset = dv.create_dataset(
    title="My Research Dataset",
    description="A comprehensive dataset containing experimental results from our study on machine learning algorithms",
    authors=[
        {
            "name": "Jane Smith",
            "affiliation": "University of Science",
            # "identifier_scheme": "ORCID",  # Optional: identifies the author using ORCID # Error: TypeError: issubclass() arg 1 must be a class
            "identifier": "0000-0000-0000-0000"  # Optional: the actual ORCID number
        }
    ],
    contacts=[
        {
            "name": "Jane Smith",
            "email": "jane.smith@university.edu",
            "affiliation": "University of Science"  # Optional: where they work
        }
    ],
    subjects=["Computer and Information Science", "Engineering"],  # Categories for the dataset
    collection=":root"
)

# The dataset is now ready to use with all metadata blocks configured
# You can access the citation metadata block like this:
print(dataset.metadata_blocks["citation"].title)
# Output: 'My Research Dataset'

Here's the stacktrace when I uncomment the problematic line:

(venv) pdurbin@beamish create_dataset % python create_dataset.py
ℹ NativeApi: Connected to http://localhost:8080
ℹ Fetching metadata blocks...
ℹ Dataset factory initialized
Traceback (most recent call last):
  File "/Users/pdurbin/github/gdcc/dataverse-recipes/python/create_dataset/create_dataset.py", line 20, in <module>
    dataset = dv.create_dataset(
        title="My Research Dataset",
    ...<17 lines>...
        collection=":root"
    )
  File "/Users/pdurbin/github/gdcc/dataverse-recipes/python/create_dataset/venv/lib/python3.13/site-packages/pyDataverse/dataverse/dataverse.py", line 597, in create_dataset
    dataset.upload_to_collection(collection)
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^
  File "/Users/pdurbin/github/gdcc/dataverse-recipes/python/create_dataset/venv/lib/python3.13/site-packages/pyDataverse/dataverse/dataset.py", line 732, in upload_to_collection
    metadata=self.to_dataverse_create_dict(),
             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
  File "/Users/pdurbin/github/gdcc/dataverse-recipes/python/create_dataset/venv/lib/python3.13/site-packages/pyDataverse/dataverse/dataset.py", line 758, in to_dataverse_create_dict
    metadata_blocks[name] = block.to_metadata_block()
                            ~~~~~~~~~~~~~~~~~~~~~~~^^
  File "/Users/pdurbin/github/gdcc/dataverse-recipes/python/create_dataset/venv/lib/python3.13/site-packages/pyDataverse/dataverse/connect/metadata.py", line 165, in to_metadata_block
    processed_value = self._process_field_value(value, field_info)
  File "/Users/pdurbin/github/gdcc/dataverse-recipes/python/create_dataset/venv/lib/python3.13/site-packages/pyDataverse/dataverse/connect/metadata.py", line 297, in _process_field_value
    return [field.to_metadata_fields() for field in value]
            ~~~~~~~~~~~~~~~~~~~~~~~~^^
  File "/Users/pdurbin/github/gdcc/dataverse-recipes/python/create_dataset/venv/lib/python3.13/site-packages/pyDataverse/dataverse/connect/metadata.py", line 523, in to_metadata_fields
    processed_value = self._process_field_value(value, field_info)
  File "/Users/pdurbin/github/gdcc/dataverse-recipes/python/create_dataset/venv/lib/python3.13/site-packages/pyDataverse/dataverse/connect/metadata.py", line 295, in _process_field_value
    if issubclass(field_info.dtype, CompoundField):
       ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: issubclass() arg 1 must be a class
(venv) pdurbin@beamish create_dataset % 

The field "Identifier Type" is a controlled vocabulary, if that matters. Here's the dropdown: