def test_incorrect_target_domain():
with pytest.raises(ValueError, match=INCORRECT_TARGET_DOMAIN_ERROR) as excinfo:
build_statistics(data=[],
shop_domain="shop.ru",
finish_url="http://shop.ru/checkout",
target_domain="",
another_domains=[])
def test_incorrect_mix_shop_and_another_domains(shop, another):
with pytest.raises(ValueError, match=MIX_ANOTHER_AND_SHOP_DOMAINS_ERROR) as excinfo:
build_statistics(data=[],
shop_domain=shop,
finish_url="http://shop.ru/checkout",
target_domain="our.com",
another_domains=another)
def test_incorrect_finish_url():
with pytest.raises(ValueError, match=INCORRECT_FINISH_URL_ERROR) as excinfo:
build_statistics(data=[],
shop_domain="shop.ru",
finish_url="",
target_domain="our.com",
another_domains=[])
def test_incorrect_mix_shop_and_target_domains(shop, target):
with pytest.raises(ValueError, match=MIX_TARGET_AND_SHOP_DOMAINS_ERROR) as excinfo:
build_statistics(data=[],
shop_domain=shop,
finish_url="http://shop.ru/checkout",
target_domain=target,
another_domains=["their1.com", ""])
def test_incorrect_mix_target_and_another_domains(target, another):
with pytest.raises(ValueError, match=MIX_TARGET_AND_ANOTHER_DOMAINS_ERROR) as excinfo:
build_statistics(data=[],
shop_domain="shop.ru",
finish_url="http://shop.ru/checkout",
target_domain=target,
another_domains=another)
def test_incorrect_sorted_data():
logs = [
Log(client_id="user1", location="http://shop.ru", referer="http://shop.ru", request_datetime=datetime(2018, 1, 2, 20, 3, 4)),
Log(client_id="user1", location="http://shop.ru", referer="http://shop.ru", request_datetime=datetime(2018, 1, 1, 20, 3, 4))
]
with pytest.raises(ValueError, match=INCORRECT_SORTED_ERROR) as excinfo:
build_statistics(data=logs,
shop_domain="shop.ru",
finish_url="http://shop.ru/checkout",
target_domain="our.com",
another_domains=[])
def test_processor(filename):
input_data = {}
with open(filename) as json_file:
input_data = json.load(json_file)
# build available
available = []
for result_item in input_data['result']:
item = StatItem(result_item['url'])
item.bill_count = result_item['count']
available.append(item)
available = sorted(available, key=lambda x: x.url)
# build input data
logs = []
for result_item in input_data['logs']:
logs.append(Log(client_id=result_item['client_id'],
location=result_item['location'],
referer=result_item['referer'],
request_datetime=datetime.strptime(result_item['datetime'], '%Y-%m-%dT%H:%M:%S.%f')))
result = build_statistics(data=logs,
shop_domain=input_data['shop_domain'],
finish_url=input_data['finish_url'],
target_domain=input_data['target_domain'],
another_domains=input_data['another_domains'])
result = sorted(result, key=lambda x: x.url)
assert result == available
nargs='?',
required=False,
default="shop.com",
help='Shop domain') # shop.com
parser.add_argument('--another_domains',
nargs='+',
required=False,
default=["theirs1.com", "theirs2.com"],
help='Our competitors partner domains')
parser.add_argument('--finish_url',
nargs='?',
required=False,
default="https://shop.com/checkout",
help='URL where user trasmits after purchase')
parser.add_argument('--ignore-errors',
required=False,
default=False,
action="store_true",
help='Ignore validation errors')
args = parser.parse_args()
# load data
loader = FileLoader(args.filename, args.ignore_errors)
data = loader.load()
data = sorted(data, key=lambda x: x.request_datetime)
# process data
stat = build_statistics(data, args.shop_domain, args.finish_url,
args.target_domain, args.another_domains)
print("\n".join(map(str, stat)))