def test_parse_lines_as_metrics(self):
lines = [
':::MLM 123 clock : { "value": "START", "metadata": {} }',
':::MLM 124 quality : { "value": "77.1", "metadata": {} }',
':::MLM 125 clock : { "value": "END", "metadata": {} }'
]
expected = [
metrics_file.Metric(123, 'clock', 'START', {}),
metrics_file.Metric(124, 'quality', '77.1', {}),
metrics_file.Metric(125, 'clock', 'END', {})
]
parsed, errors = log_converter.parse_lines_as_metrics(lines)
self.assertEqual(errors, [])
self.assertEqual(parsed, expected)
def _convert_line_to_metric(line):
"""Converts a single log line into a Metric object."""
m = LINE_REGEX.match(line)
if m is None:
raise ParsingError('Could not parse: {}'.format(line))
j = json.loads(m.group(3))
d = metrics_file.Metric(
float(m.group(1)), m.group(2), j['value'], j['metadata'])
return d
def test_parse_lines_as_metrics(self):
log_lines = [
':::MLL 123 clock : { "value": "START", "metadata": {} }',
':::MLL 124 quality : { "value": "77.1", "metadata": {} }',
':::MLL 125 clock : { "value": "END", "metadata": {} }',
]
with tempfile.NamedTemporaryFile(mode='w', delete=False) as f:
f.writelines('%s\n' % l for l in log_lines)
expected = metrics_file.BenchmarkRun([
metrics_file.Metric(123, 'clock', 'START', {}),
metrics_file.Metric(124, 'quality', '77.1', {}),
metrics_file.Metric(125, 'clock', 'END', {})
])
log_f = log_lines_file.LogLineFile(f.name)
parsed, errors = log_f.as_benchmark_run()
self.assertEqual(errors, [])
self.assertEqual(parsed, expected)
def test_convert_line_to_metric_cases(self):
self._assert_expected_metric(
(':::MLL 123.456 /c1/c2/c3.key: '
'{"value": 80.123, "metadata": '
'{"lineno": 81, "file": "some_dir/some_file.py"}}'),
metrics_file.Metric(123.456, '/c1/c2/c3.key', 80.123, {
'lineno': 81,
'file': 'some_dir/some_file.py'
}))
self._assert_expected_metric(
':::MLL 123 custom_metric: {"value": 80.123, "metadata": {}}',
metrics_file.Metric(123, 'custom_metric', 80.123, {}))
self._assert_expected_metric(
':::MLL 123 c1-c2-c3: {"value": 80.123, "metadata": {}}',
metrics_file.Metric(123, 'c1-c2-c3', 80.123, {}))
self._assert_expected_metric(
':::MLL 123 c1-c2-c3.c4: {"value": 80.123, "metadata": {}}',
metrics_file.Metric(123, 'c1-c2-c3.c4', 80.123, {}))
def test_convert_line_to_metric(self):
line = ':::MLM 123 foo : { "value": "bar", "metadata": {} }'
expected = metrics_file.Metric(123, 'foo', 'bar', {})
self.assertEqual(
log_converter.convert_line_to_metric(line)[0], expected)