This repository was archived by the owner on Sep 9, 2026. It is now read-only.
Repository navigation
Expand file tree
/
Copy pathtest_array_proto.py
More file actions
167 lines (132 loc) · 4.76 KB
/
Copy pathtest_array_proto.py
File metadata and controls
167 lines (132 loc) · 4.76 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
# 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'