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from docarray.typing import AnyEmbedding, AnyTensor
class LegacyDocument(BaseDocument):
"""
This Document is the LegacyDocument. It follows the same schema as in DocArray v1.
It can be useful to start migrating a codebase from v1 to v2.
Nevertheless, the API is not totally compatible with DocAray v1 `Document`.
Indeed, none of the method associated with `Document` are present. Only the schema
of the data is similar.
.. code-block:: python
from docarray import DocumentArray
from docarray.documents.legacy import LegacyDocument
import numpy as np
doc = LegacyDocument(text='hello')
doc.url = 'http://myimg.png'
doc.tensor = np.zeros((3, 224, 224))
doc.embedding = np.zeros((100, 1))
doc.tags['price'] = 10
doc.chunks = DocumentArray[Document]([Document() for _ in range(10)])
doc.chunks = DocumentArray[Document]([Document() for _ in range(10)])
"""
tensor: Optional[AnyTensor]
chunks: Optional[DocumentArray[LegacyDocument]]
matches: Optional[DocumentArray[LegacyDocument]]
blob: Optional[bytes]
text: Optional[str]
url: Optional[str]
embedding: Optional[AnyEmbedding]
tags: Dict[str, Any] = dict()
scores: Optional[Dict[str, Any]]
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feat: add v1 equivalent Document #1090
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feat: add v1 equivalent Document #1090
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