forked from GoogleCloudPlatform/python-docs-samples
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathpredict_test.py
More file actions
72 lines (58 loc) · 1.94 KB
/
Copy pathpredict_test.py
File metadata and controls
72 lines (58 loc) · 1.94 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
# Copyright 2017 Google Inc. All Rights Reserved.
#
# 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.
"""Tests for predict.py ."""
import base64
import pytest
import predict
MODEL = 'census'
JSON_VERSION = 'v1json'
EXAMPLES_VERSION = 'v1example'
PROJECT = 'python-docs-samples-tests'
JSON = {
'age': 25,
'workclass': ' Private',
'education': ' 11th',
'education_num': 7,
'marital_status': ' Never-married',
'occupation': ' Machine-op-inspct',
'relationship': ' Own-child',
'race': ' Black',
'gender': ' Male',
'capital_gain': 0,
'capital_loss': 0,
'hours_per_week': 40,
'native_country': ' United-States'
}
EXPECTED_OUTPUT = {
u'confidence': 0.7760371565818787,
u'predictions': u' <=50K'
}
def test_predict_json():
result = predict.predict_json(
PROJECT, MODEL, [JSON, JSON], version=JSON_VERSION)
assert [EXPECTED_OUTPUT, EXPECTED_OUTPUT] == result
def test_predict_json_error():
with pytest.raises(RuntimeError):
predict.predict_json(
PROJECT, MODEL, [{"foo": "bar"}], version=JSON_VERSION)
@pytest.mark.slow
def test_census_example_to_bytes():
b = predict.census_to_example_bytes(JSON)
assert base64.b64encode(b) is not None
@pytest.mark.slow
def test_predict_examples():
b = predict.census_to_example_bytes(JSON)
result = predict.predict_examples(
PROJECT, MODEL, [b, b], version=EXAMPLES_VERSION)
assert [EXPECTED_OUTPUT, EXPECTED_OUTPUT] == result