forked from IBM/data-prep-kit
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathtest_doc_id.py
58 lines (51 loc) · 2.05 KB
/
test_doc_id.py
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
# (C) Copyright IBM Corp. 2024.
# Licensed 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.
################################################################################
from typing import Tuple
import pyarrow as pa
from data_processing.test_support.transform import AbstractTableTransformTest
from data_processing.utils import TransformUtils
from dpk_doc_id.transform import (
IDGenerator,
doc_column_name_key,
hash_column_name_key,
id_generator_key,
int_column_name_key,
)
from dpk_doc_id.transform_python import DocIDTransform
table = pa.Table.from_pydict(
{
"doc": pa.array(["Tom", "Joe"]),
}
)
expected_table = pa.Table.from_pydict(
{
"doc": pa.array(["Tom", "Joe"]),
"doc_hash": pa.array([TransformUtils.str_to_hash("Tom"), TransformUtils.str_to_hash("Joe")]),
"doc_int": pa.array([5, 6]),
}
)
expected_metadata_list = [{}, {}] # transform() result # flush() result
class TestDocIDTransform(AbstractTableTransformTest):
"""
Extends the super-class to define the test data for the tests defined there.
The name of this class MUST begin with the word Test so that pytest recognizes it as a test class.
"""
def get_test_transform_fixtures(self) -> list[Tuple]:
fixtures = []
config = {
doc_column_name_key: "doc",
hash_column_name_key: "doc_hash",
int_column_name_key: "doc_int",
id_generator_key: IDGenerator(5),
}
fixtures.append((DocIDTransform(config), [table], [expected_table], expected_metadata_list))
return fixtures