def test_providing_subfilter_to_filter_without_subfilter_raises_valueerror():
with pytest.raises(ValueError):
list(
FilterBase.normalize_filter_list([{
'beautify': {
'asubfilterthatdoesnotexist': True
}
}]))
def test_providing_unknown_subfilter_raises_valueerror():
with pytest.raises(ValueError):
list(
FilterBase.normalize_filter_list([{
'grep': {
're': 'Price: .*',
'anothersubfilter': '42'
}
}]))
def test_filters(test_name, test_data):
filter = test_data['filter']
data = test_data['data']
expected_result = test_data['expected_result']
result = data
for filter_kind, subfilter in FilterBase.normalize_filter_list(filter):
logger.info('filter kind: %s, subfilter: %s', filter_kind, subfilter)
filtercls = FilterBase.__subclasses__.get(filter_kind)
if filtercls is None:
raise ValueError('Unknown filter kind: %s:%s' % (filter_kind, subfilter))
result = filtercls(None, None).filter(result, subfilter)
logger.debug('Expected result:\n%s', expected_result)
logger.debug('Actual result:\n%s', result)
assert result == expected_result
def test_job(url):
job = jobs[url]
d = testdata[url]
if 'filename' in d:
input_data = open(os.path.join(root, 'test/data', d['filename']), 'rb').read()
else:
input_data = d['input']
for filter_kind, subfilter in FilterBase.normalize_filter_list(job['filter']):
filtercls = FilterBase.__subclasses__[filter_kind]
input_data = filtercls(None, None).filter(input_data, subfilter)
# TODO: FilterBase.process(cls, filter_kind, subfilter, state, data):
output_data = d['output']
eq_(input_data, output_data)
def test_url(url, job):
testdata = yaml.safe_load(
open(os.path.join(here,
'data/filter_documentation_testdata.yaml')).read())
d = testdata[url]
if 'filename' in d:
input_data = open(os.path.join(here, 'data', d['filename']),
'rb').read()
else:
input_data = d['input']
for filter_kind, subfilter in FilterBase.normalize_filter_list(
job['filter']):
filtercls = FilterBase.__subclasses__[filter_kind]
input_data = filtercls(None, None).filter(input_data, subfilter)
# TODO: FilterBase.process(cls, filter_kind, subfilter, state, data):
output_data = d['output']
assert input_data == output_data
def test_invalid_filter_name_raises_valueerror():
with pytest.raises(ValueError):
list(FilterBase.normalize_filter_list(['afilternamethatdoesnotexist']))
def test_normalize_filter_list(input, output):
assert list(FilterBase.normalize_filter_list(input)) == output
def check_expected(input, output):
eq_(list(FilterBase.normalize_filter_list(input)), output)