cti-python-stix2/stix2/test/v21/test_utils.py

243 lines
8.6 KiB
Python

# -*- coding: utf-8 -*-
import datetime as dt
from io import StringIO
import pytest
import pytz
import stix2.serialization
import stix2.utils
from .constants import IDENTITY_ID
amsterdam = pytz.timezone('Europe/Amsterdam')
eastern = pytz.timezone('US/Eastern')
@pytest.mark.parametrize(
'dttm, timestamp', [
(dt.datetime(2017, 1, 1, tzinfo=pytz.utc), '2017-01-01T00:00:00Z'),
(amsterdam.localize(dt.datetime(2017, 1, 1)), '2016-12-31T23:00:00Z'),
(eastern.localize(dt.datetime(2017, 1, 1, 12, 34, 56)), '2017-01-01T17:34:56Z'),
(eastern.localize(dt.datetime(2017, 7, 1)), '2017-07-01T04:00:00Z'),
(dt.datetime(2017, 7, 1), '2017-07-01T00:00:00Z'),
(dt.datetime(2017, 7, 1, 0, 0, 0, 1), '2017-07-01T00:00:00.000001Z'),
(stix2.utils.STIXdatetime(2017, 7, 1, 0, 0, 0, 1, precision='millisecond'), '2017-07-01T00:00:00.000Z'),
(stix2.utils.STIXdatetime(2017, 7, 1, 0, 0, 0, 1, precision='second'), '2017-07-01T00:00:00Z'),
],
)
def test_timestamp_formatting(dttm, timestamp):
assert stix2.utils.format_datetime(dttm) == timestamp
@pytest.mark.parametrize(
'timestamp, dttm', [
(dt.datetime(2017, 1, 1, 0, tzinfo=pytz.utc), dt.datetime(2017, 1, 1, 0, 0, 0, tzinfo=pytz.utc)),
(dt.date(2017, 1, 1), dt.datetime(2017, 1, 1, 0, 0, 0, tzinfo=pytz.utc)),
('2017-01-01T00:00:00Z', dt.datetime(2017, 1, 1, 0, 0, 0, tzinfo=pytz.utc)),
],
)
def test_parse_datetime(timestamp, dttm):
assert stix2.utils.parse_into_datetime(timestamp) == dttm
@pytest.mark.parametrize(
'timestamp, dttm, precision', [
('2017-01-01T01:02:03.000001Z', dt.datetime(2017, 1, 1, 1, 2, 3, 0, tzinfo=pytz.utc), 'millisecond'),
('2017-01-01T01:02:03.001Z', dt.datetime(2017, 1, 1, 1, 2, 3, 1000, tzinfo=pytz.utc), 'millisecond'),
('2017-01-01T01:02:03.1Z', dt.datetime(2017, 1, 1, 1, 2, 3, 100000, tzinfo=pytz.utc), 'millisecond'),
('2017-01-01T01:02:03.45Z', dt.datetime(2017, 1, 1, 1, 2, 3, 450000, tzinfo=pytz.utc), 'millisecond'),
('2017-01-01T01:02:03.45Z', dt.datetime(2017, 1, 1, 1, 2, 3, tzinfo=pytz.utc), 'second'),
],
)
def test_parse_datetime_precision(timestamp, dttm, precision):
assert stix2.utils.parse_into_datetime(timestamp, precision) == dttm
@pytest.mark.parametrize(
'ts', [
'foobar',
1,
],
)
def test_parse_datetime_invalid(ts):
with pytest.raises(ValueError):
stix2.utils.parse_into_datetime('foobar')
@pytest.mark.parametrize(
'data', [
{"a": 1},
'{"a": 1}',
StringIO(u'{"a": 1}'),
[("a", 1,)],
],
)
def test_get_dict(data):
assert stix2.utils._get_dict(data)
@pytest.mark.parametrize(
'data', [
1,
[1],
['a', 1],
"foobar",
],
)
def test_get_dict_invalid(data):
with pytest.raises(ValueError):
stix2.utils._get_dict(data)
@pytest.mark.parametrize(
'stix_id, type', [
('malware--d69c8146-ab35-4d50-8382-6fc80e641d43', 'malware'),
('intrusion-set--899ce53f-13a0-479b-a0e4-67d46e241542', 'intrusion-set'),
],
)
def test_get_type_from_id(stix_id, type):
assert stix2.utils.get_type_from_id(stix_id) == type
def test_deduplicate(stix_objs1):
unique = stix2.utils.deduplicate(stix_objs1)
# Only 3 objects are unique
# 2 id's vary
# 2 modified times vary for a particular id
assert len(unique) == 3
ids = [obj['id'] for obj in unique]
mods = [obj['modified'] for obj in unique]
assert "indicator--00000000-0000-4000-8000-000000000001" in ids
assert "indicator--00000000-0000-4000-8000-000000000001" in ids
assert "2017-01-27T13:49:53.935Z" in mods
assert "2017-01-27T13:49:53.936Z" in mods
@pytest.mark.parametrize(
'object, tuple_to_find, expected_index', [
(
stix2.v21.ObservedData(
id="observed-data--b67d30ff-02ac-498a-92f9-32f845f448cf",
created_by_ref=IDENTITY_ID,
created="2016-04-06T19:58:16.000Z",
modified="2016-04-06T19:58:16.000Z",
first_observed="2015-12-21T19:00:00Z",
last_observed="2015-12-21T19:00:00Z",
number_observed=50,
objects={
"0": {
"name": "foo.exe",
"type": "file",
"id": "file--5956efbb-a7b0-566d-a7f9-a202eb05c70f",
},
"1": {
"type": "ipv4-addr",
"value": "198.51.100.3",
"id": "ipv4-addr--1f8f4d63-9f33-5353-a3e3-e1b84c83a7b5",
},
"2": {
"type": "network-traffic",
"src_ref": "ipv4-addr--1f8f4d63-9f33-5353-a3e3-e1b84c83a7b5",
"protocols": [
"tcp",
"http",
],
"extensions": {
"http-request-ext": {
"request_method": "get",
"request_value": "/download.html",
"request_version": "http/1.1",
"request_header": {
"Accept-Encoding": "gzip,deflate",
"User-Agent": "Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.6) Gecko/20040113",
"Host": "www.example.com",
},
},
},
},
},
), ('1', {"type": "ipv4-addr", "value": "198.51.100.3", "id": "ipv4-addr--1f8f4d63-9f33-5353-a3e3-e1b84c83a7b5"}), 1,
),
(
{
"type": "x-example",
"id": "x-example--d5413db2-c26c-42e0-b0e0-ec800a310bfb",
"created": "2018-06-11T01:25:22.063Z",
"modified": "2018-06-11T01:25:22.063Z",
"dictionary": {
"key": {
"key_one": "value",
"key_two": "value",
},
},
}, ('key', {'key_one': 'value', 'key_two': 'value'}), 0,
),
(
{
"type": "language-content",
"spec_version": "2.1",
"id": "language-content--b86bd89f-98bb-4fa9-8cb2-9ad421da981d",
"created": "2017-02-08T21:31:22.007Z",
"modified": "2017-02-08T21:31:22.007Z",
"object_ref": "campaign--12a111f0-b824-4baf-a224-83b80237a094",
"object_modified": "2017-02-08T21:31:22.007Z",
"contents": {
"de": {
"name": "Bank Angriff 1",
"description": "Weitere Informationen über Banküberfall",
},
"fr": {
"name": "Attaque Bank 1",
"description": "Plus d'informations sur la crise bancaire",
},
},
}, ('fr', {"name": "Attaque Bank 1", "description": "Plus d'informations sur la crise bancaire"}), 1,
),
],
)
def test_find_property_index(object, tuple_to_find, expected_index):
assert stix2.serialization.find_property_index(
object,
*tuple_to_find
) == expected_index
@pytest.mark.parametrize(
'dict_value, tuple_to_find, expected_index', [
(
{
"contents": {
"de": {
"name": "Bank Angriff 1",
"description": "Weitere Informationen über Banküberfall",
},
"fr": {
"name": "Attaque Bank 1",
"description": "Plus d'informations sur la crise bancaire",
},
"es": {
"name": "Ataque al Banco",
"description": "Mas informacion sobre el ataque al banco",
},
},
}, ('es', {"name": "Ataque al Banco", "description": "Mas informacion sobre el ataque al banco"}), 1,
), # Sorted alphabetically
(
{
'my_list': [
{"key_one": 1},
{"key_two": 2},
],
}, ('key_one', 1), 0,
),
],
)
def test_iterate_over_values(dict_value, tuple_to_find, expected_index):
assert stix2.serialization._find_property_in_seq(dict_value.values(), *tuple_to_find) == expected_index