[Bug] Skipping microbatch model fails with typeError: object of type 'Field' has no len()

[MichelleArk]

An upstream failing leads to a microbatch model skipping (but still executing?) with the failure 'Field' has no len():

15:47:30  Found 23 models, 6 seeds, 21 data tests, 6 sources, 2 exposures, 13 metrics, 769 macros, 6 semantic models, 5 unit tests
15:47:30  
15:47:30  Concurrency: 4 threads (target='default')
15:47:30  
15:47:32  1 of 2 START sql view model dbt_marky.microbatch_input ......................... [RUN]
15:47:33  1 of 2 ERROR creating sql view model dbt_marky.microbatch_input ................ [ERROR in 0.69s]
15:47:33  2 of 2 SKIP relation dbt_marky.microbatch ...................................... [SKIP]
> /Users/michelleark/src/dbt-core/core/dbt/task/run.py(715)handle_microbatch_model()
-> while batch_idx < len(runner.batches):
(Pdb) runner.batches
Field(name=None,type=None,default=<dataclasses._MISSING_TYPE object at 0x100efa230>,default_factory=<class 'dict'>,init=True,repr=True,hash=None,compare=True,metadata=mappingproxy({}),kw_only=<dataclasses._MISSING_TYPE object at 0x100efa230>,_field_type=None)
(Pdb) field(default_factory=dict)
Field(name=None,type=None,default=<dataclasses._MISSING_TYPE object at 0x100efa230>,default_factory=<class 'dict'>,init=True,repr=True,hash=None,compare=True,metadata=mappingproxy({}),kw_only=<dataclasses._MISSING_TYPE object at 0x100efa230>,_field_type=None)
(Pdb) field(default_factory=dict)
Field(name=None,type=None,default=<dataclasses._MISSING_TYPE object at 0x100efa230>,default_factory=<class 'dict'>,init=True,repr=True,hash=None,compare=True,metadata=mappingproxy({}),kw_only=<dataclasses._MISSING_TYPE object at 0x100efa230>,_field_type=None)
(Pdb) len(field(default_factory=dict))