opendatalab / opendatalab/LabelLLM
本地debug，报pydantic的KeyError: 'UUID'
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Description
启动方式，本地python app/main.py
File "/opt/anaconda3/envs/labelllm/lib/python3.11/site-packages/pydantic/_internal/_core_utils.py", line 197, in walk
return f(schema, self._walk)
^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/labelllm/lib/python3.11/site-packages/pydantic/_internal/_core_utils.py", line 441, in collect_refs
return recurse(s, collect_refs)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/labelllm/lib/python3.11/site-packages/pydantic/_internal/_core_utils.py", line 200, in _walk
schema = self._schema_type_to_method[schema['type']](schema.copy(), f)
~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
KeyError: 'UUID'
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the failure with python app/main.py and inspect the reported Pydantic traceback in _core_utils.py, especially the unsupported UUID schema type. Trace back from that error into the application models or dependencies to identify the source of the schema. Done means local startup completes without the KeyError: 'UUID' failure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100