Comments (3)
This to be honest is an upstream issue, i don't think we can solve it?
from docarray.
One possible quick solution is to disable the smart union in the pydantic model definition
class PydanticDocument(BaseModel):
...
tags: Optional[Dict[str, '_StructValueType']] -> tags: Optional[Dict[str, ANY]]
https://github.com/jina-ai/docarray/blob/main/docarray/document/pydantic_model.py#L30-L50
But I'm not very clear whether this change will not destroy other API/functions.
from docarray.
With this PR #73, we can get the following result
origin:
{'a': '1', 'b': 1, 'c': '2'}
pydantic:
{'a': '1', 'b': 1, 'c': '2'}
protobuf:
{'b': 1.0, 'c': '2', 'a': '1'}
jsonschema
{'b': 1.0, 'c': '2', 'a': '1'}
from docarray.
Related Issues (20)
- [pydantic v2] Push and pulling tests not passing with pydantic v2
- [pydantic v2] documentation test need to be trigger for pydantic v2
- Release Notes HOT 2
- Tensor not found in Tensorflow module HOT 4
- bug: deserializing from dataframe with numpy==1.26.1 HOT 15
- index.find() tries to reshape and fails HOT 10
- Integrate new Vector search library from Spotify HOT 3
- Release Notes HOT 4
- DocList raises exception for type object. HOT 3
- Error on subindice Embedding type for Torch Tensor moving from GPU to CPU. HOT 3
- TorchTensor deepcopy raises error when dtype is not float32 HOT 8
- Support Epsilla as a document store HOT 3
- Error type hints in Python3.12 (#1147) HOT 2
- Release Note
- [Docs Missing] docs.docarray.org -> There isn't a GitHub Pages site here. HOT 1
- Enhancement to the weaviate datatypes support (text[], object, object[]) with WeaviateDocumentIndex HOT 6
- HnswDocumentIndex treats document IDs as string, they can be str, int, ID HOT 4
- Class-typed fields are required when inserting a new document HOT 3
- HNSWLib Indexer cannot knn query in subindex HOT 8
- Loading audio tensors fails: ValueError: all input arrays must have the same shape HOT 4
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from docarray.