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from typing import Optional
import numpy as np
import pytest
from pydantic import BaseModel, ValidationError
from typing_extensions import TypedDict
from docarray import BaseDoc, DocList
from docarray.documents import AudioDoc, ImageDoc, TextDoc
from docarray.documents.helper import (
create_doc,
create_doc_from_dict,
create_doc_from_typeddict,
)
from docarray.typing import AudioNdArray
from docarray.utils._internal.pydantic import is_pydantic_v2
def test_multi_modal_doc():
class MyMultiModalDoc(BaseDoc):
image: ImageDoc
text: TextDoc
doc = MyMultiModalDoc(
image=ImageDoc(tensor=np.zeros((3, 224, 224))), text=TextDoc(text='hello')
)
assert isinstance(doc.image, BaseDoc)
assert isinstance(doc.image, ImageDoc)
assert isinstance(doc.text, TextDoc)
assert doc.text.text == 'hello'
assert (doc.image.tensor == np.zeros((3, 224, 224))).all()
def test_nested_chunks_document():
class ChunksDocument(BaseDoc):
text: str
images: DocList[ImageDoc]
doc = ChunksDocument(
text='hello',
images=DocList[ImageDoc]([ImageDoc() for _ in range(10)]),
)
assert isinstance(doc.images, DocList)
def test_create_doc():
with pytest.raises(ValueError):
_ = create_doc(
'MyMultiModalDoc',
__base__=BaseModel,
image=(ImageDoc, ...),
text=(TextDoc, ...),
)
MyMultiModalDoc = create_doc(
'MyMultiModalDoc', image=(ImageDoc, ...), text=(TextDoc, ...)
)
assert issubclass(MyMultiModalDoc, BaseDoc)
doc = MyMultiModalDoc(
image=ImageDoc(tensor=np.zeros((3, 224, 224))), text=TextDoc(text='hello')
)
assert isinstance(doc.image, BaseDoc)
assert isinstance(doc.image, ImageDoc)
assert isinstance(doc.text, TextDoc)
assert doc.text.text == 'hello'
assert (doc.image.tensor == np.zeros((3, 224, 224))).all()
MyAudio = create_doc(
'MyAudio',
__base__=AudioDoc,
title=(str, ...),
tensor=(Optional[AudioNdArray], ...),
)
assert issubclass(MyAudio, BaseDoc)
assert issubclass(MyAudio, AudioDoc)
@pytest.mark.skipif(is_pydantic_v2, reason="Not working with pydantic v2 for now")
def test_create_doc_from_typeddict():
class MyMultiModalDoc(TypedDict):
image: ImageDoc
text: TextDoc
with pytest.raises(ValueError):
_ = create_doc_from_typeddict(MyMultiModalDoc, __base__=BaseModel)
Doc = create_doc_from_typeddict(MyMultiModalDoc)
assert issubclass(Doc, BaseDoc)
class MyAudio(TypedDict):
title: str
tensor: Optional[AudioNdArray]
Doc = create_doc_from_typeddict(MyAudio, __base__=AudioDoc)
assert issubclass(Doc, BaseDoc)
assert issubclass(Doc, AudioDoc)
def test_create_doc_from_dict():
data_dict = {
'image': ImageDoc(tensor=np.random.rand(3, 224, 224)),
'text': TextDoc(text='hello'),
'id': 123,
}
MyDoc = create_doc_from_dict(model_name='MyDoc', data_dict=data_dict)
assert issubclass(MyDoc, BaseDoc)
doc = MyDoc(
image=ImageDoc(tensor=np.random.rand(3, 224, 224)),
text=TextDoc(text='hey'),
id=111,
)
assert isinstance(doc, BaseDoc)
assert isinstance(doc.text, TextDoc)
assert isinstance(doc.image, ImageDoc)
assert isinstance(doc.id, int)
# Create a doc with an incorrect type
with pytest.raises(ValidationError):
doc = MyDoc(
image=ImageDoc(tensor=np.random.rand(3, 224, 224)),
text=['some', 'text'], # should be TextDoc
id=111,
)
# Handle empty data_dict
with pytest.raises(ValueError):
MyDoc = create_doc_from_dict(model_name='MyDoc', data_dict={})
# Data with a None value
data_dict = {'text': 'some text', 'other': None}
MyDoc = create_doc_from_dict(model_name='MyDoc', data_dict=data_dict)
assert issubclass(MyDoc, BaseDoc)
doc1 = MyDoc(text='txt', other=10)
doc2 = MyDoc(text='txt', other='also text')
assert isinstance(doc1, BaseDoc) and isinstance(doc2, BaseDoc)