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GeezerVison is showing github.com — docarray/tests/units/array/test_array_proto.py at main · docarray/docarray

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# Licensed to the LF AI & Data foundation under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import numpy as np
import pytest
from typing import Dict, List
from docarray import BaseDoc, DocList
from docarray.base_doc import AnyDoc
from docarray.documents import ImageDoc, TextDoc
from docarray.typing import NdArray
@pytest.mark.proto
def test_simple_proto():
class CustomDoc(BaseDoc):
text: str
tensor: NdArray
da = DocList(
[CustomDoc(text='hello', tensor=np.zeros((3, 224, 224))) for _ in range(10)]
)
new_da = DocList[CustomDoc].from_protobuf(da.to_protobuf())
for doc1, doc2 in zip(da, new_da):
assert doc1.text == doc2.text
assert (doc1.tensor == doc2.tensor).all()
@pytest.mark.proto
def test_nested_proto():
class CustomDocument(BaseDoc):
text: TextDoc
image: ImageDoc
da = DocList[CustomDocument](
[
CustomDocument(
text=TextDoc(text='hello'),
image=ImageDoc(tensor=np.zeros((3, 224, 224))),
)
for _ in range(10)
]
)
DocList[CustomDocument].from_protobuf(da.to_protobuf())
@pytest.mark.proto
def test_nested_proto_any_doc():
class CustomDocument(BaseDoc):
text: TextDoc
image: ImageDoc
da = DocList[CustomDocument](
[
CustomDocument(
text=TextDoc(text='hello'),
image=ImageDoc(tensor=np.zeros((3, 224, 224))),
)
for _ in range(10)
]
)
DocList.from_protobuf(da.to_protobuf())
@pytest.mark.proto
def test_any_doc_list_proto():
doc = AnyDoc(hello='world')
pt = DocList([doc]).to_protobuf()
docs = DocList.from_protobuf(pt)
assert docs[0].hello == 'world'
@pytest.mark.proto
def test_any_nested_doc_list_proto():
from docarray import BaseDoc, DocList
class TextDocWithId(BaseDoc):
id: str
text: str
class ResultTestDoc(BaseDoc):
matches: DocList[TextDocWithId]
index_da = DocList[TextDocWithId](
[TextDocWithId(id=f'{i}', text=f'ID {i}') for i in range(10)]
)
out_da = DocList[ResultTestDoc]([ResultTestDoc(matches=index_da[0:2])])
pb = out_da.to_protobuf()
docs = DocList.from_protobuf(pb)
assert docs[0].matches[0].id == '0'
assert len(docs[0].matches) == 2
assert len(docs) == 1
@pytest.mark.proto
def test_union_type_error():
from typing import Union
class CustomDoc(BaseDoc):
ud: Union[TextDoc, ImageDoc] = TextDoc(text='union type')
docs = DocList[CustomDoc]([CustomDoc(ud=TextDoc(text='union type'))])
with pytest.raises(ValueError):
DocList[CustomDoc].from_protobuf(docs.to_protobuf())
class BasisUnion(BaseDoc):
ud: Union[int, str]
docs_basic = DocList[BasisUnion]([BasisUnion(ud="hello")])
docs_copy = DocList[BasisUnion].from_protobuf(docs_basic.to_protobuf())
assert docs_copy == docs_basic
class MySimpleDoc(BaseDoc):
title: str
class MyComplexDoc(BaseDoc):
content_dict_doclist: Dict[str, DocList[MySimpleDoc]]
content_dict_list: Dict[str, List[MySimpleDoc]]
aux_dict: Dict[str, int]
def test_to_from_proto_complex():
da = DocList[MyComplexDoc](
[
MyComplexDoc(
content_dict_doclist={
'test1': DocList[MySimpleDoc](
[MySimpleDoc(title='123'), MySimpleDoc(title='456')]
)
},
content_dict_list={
'test1': [MySimpleDoc(title='123'), MySimpleDoc(title='456')]
},
aux_dict={'a': 0},
)
]
)
da2 = DocList[MyComplexDoc].from_protobuf(da.to_protobuf())
assert len(da2) == 1
d2 = da2[0]
assert d2.aux_dict == {'a': 0}
assert len(d2.content_dict_doclist['test1']) == 2
assert d2.content_dict_doclist['test1'][0].title == '123'
assert d2.content_dict_doclist['test1'][1].title == '456'
assert len(d2.content_dict_list['test1']) == 2
assert d2.content_dict_list['test1'][0].title == '123'
assert d2.content_dict_list['test1'][1].title == '456'
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