|
1
|
|
|
import json |
|
2
|
|
|
import os |
|
3
|
|
|
from pathlib import Path |
|
4
|
|
|
|
|
5
|
|
|
import pytest |
|
6
|
|
|
|
|
7
|
|
|
from oval_graph.oval_tree.builder import Builder |
|
8
|
|
|
from oval_graph.oval_tree.oval_result import OvalResult |
|
9
|
|
|
|
|
10
|
|
|
BAD_RESULT_COUNTS = { |
|
11
|
|
|
"number_of_true": -1, |
|
12
|
|
|
"number_of_false": -1, |
|
13
|
|
|
"number_of_error": -1, |
|
14
|
|
|
"number_of_unknown": -1, |
|
15
|
|
|
"number_of_noteval": -1, |
|
16
|
|
|
"number_of_notappl": -1 |
|
17
|
|
|
} |
|
18
|
|
|
|
|
19
|
|
|
|
|
20
|
|
|
RESULT_COUNTS_1 = { |
|
21
|
|
|
"number_of_true": 3, |
|
22
|
|
|
"number_of_false": 3, |
|
23
|
|
|
"number_of_error": 3, |
|
24
|
|
|
"number_of_unknown": 0, |
|
25
|
|
|
"number_of_noteval": -1, |
|
26
|
|
|
"number_of_notappl": 3 |
|
27
|
|
|
} |
|
28
|
|
|
|
|
29
|
|
|
|
|
30
|
|
|
def get_path_to_data_source(data_source): |
|
31
|
|
|
directory = '' |
|
32
|
|
|
if data_source.startswith('AND'): |
|
33
|
|
|
directory = 'and' |
|
34
|
|
|
elif data_source.startswith('OR'): |
|
35
|
|
|
directory = 'or' |
|
36
|
|
|
elif data_source.startswith('XOR'): |
|
37
|
|
|
directory = 'xor' |
|
38
|
|
|
elif data_source.startswith('ONE'): |
|
39
|
|
|
directory = 'one' |
|
40
|
|
|
else: |
|
41
|
|
|
directory = 'NONE' |
|
42
|
|
|
|
|
43
|
|
|
return Path(__file__).parent / 'test_data' / directory / data_source |
|
44
|
|
|
|
|
45
|
|
|
|
|
46
|
|
|
@pytest.mark.parametrize("data_source, expected_result", [ |
|
47
|
|
|
('ANDTreeTrue.json', "true"), |
|
48
|
|
|
('ANDTreeFalse.json', 'false'), |
|
49
|
|
|
('ANDTreeError.json', "error"), |
|
50
|
|
|
('ANDTreeUnknown.json', "unknown"), |
|
51
|
|
|
('ANDTreeNoteval.json', "noteval"), |
|
52
|
|
|
("ANDTreeNotappl.json", 'notappl'), |
|
53
|
|
|
|
|
54
|
|
|
('ONETreeTrue.json', "true"), |
|
55
|
|
|
('ONETreeFalse.json', 'false'), |
|
56
|
|
|
('ONETreeFalse1.json', 'false'), |
|
57
|
|
|
('ONETreeError.json', "error"), |
|
58
|
|
|
('ONETreeUnknown.json', "unknown"), |
|
59
|
|
|
('ONETreeNoteval.json', "noteval"), |
|
60
|
|
|
("ONETreeNotappl.json", 'notappl'), |
|
61
|
|
|
|
|
62
|
|
|
('ORTreeTrue.json', "true"), |
|
63
|
|
|
('ORTreeFalse.json', 'false'), |
|
64
|
|
|
('ORTreeError.json', "error"), |
|
65
|
|
|
('ORTreeUnknown.json', "unknown"), |
|
66
|
|
|
('ORTreeNoteval.json', "noteval"), |
|
67
|
|
|
("ORTreeNotappl.json", 'notappl'), |
|
68
|
|
|
|
|
69
|
|
|
('XORTreeTrue.json', "true"), |
|
70
|
|
|
('XORTreeFalse.json', 'false'), |
|
71
|
|
|
('XORTreeError.json', "error"), |
|
72
|
|
|
('XORTreeUnknown.json', "unknown"), |
|
73
|
|
|
('XORTreeNoteval.json', "noteval"), |
|
74
|
|
|
("XORTreeNotappl.json", 'notappl'), |
|
75
|
|
|
]) |
|
76
|
|
|
def test_evaluation_of_oval_tree(data_source, expected_result): |
|
77
|
|
|
path = get_path_to_data_source(data_source) |
|
78
|
|
|
data = dict() |
|
79
|
|
|
with open(path, "r") as file_: |
|
80
|
|
|
data = json.load(file_) |
|
81
|
|
|
oval_tree = Builder.dict_to_oval_tree(data) |
|
82
|
|
|
assert oval_tree.evaluate_tree() == expected_result |
|
83
|
|
|
|
|
84
|
|
|
|
|
85
|
|
|
@pytest.mark.parametrize("eval_function, result", [ |
|
86
|
|
|
(OvalResult(**BAD_RESULT_COUNTS).eval_operator_and, None), |
|
87
|
|
|
(OvalResult(**BAD_RESULT_COUNTS).eval_operator_one, None), |
|
88
|
|
|
(OvalResult(**BAD_RESULT_COUNTS).eval_operator_or, None), |
|
89
|
|
|
(OvalResult(**BAD_RESULT_COUNTS).eval_operator_xor, None), |
|
90
|
|
|
(OvalResult(**RESULT_COUNTS_1).eval_operator_and, 'false'), |
|
91
|
|
|
(OvalResult(**RESULT_COUNTS_1).eval_operator_one, None), |
|
92
|
|
|
(OvalResult(**RESULT_COUNTS_1).eval_operator_or, 'true'), |
|
93
|
|
|
(OvalResult(**RESULT_COUNTS_1).eval_operator_xor, 'error'), |
|
94
|
|
|
]) |
|
95
|
|
|
def test_evaluate_oval_result(eval_function, result): |
|
96
|
|
|
assert eval_function() is result |
|
97
|
|
|
|
OpenSCAP /
oval-graph
