def test_analysis_empty_input_return_empty_output(self, _):
"""Empty input returns and empty dataframe."""
self.log = self.log.iloc[:0]
actual = cm.get_complexity(self.log, scm.Project())
# Length may be at the end or in the middle dependeding on the version of lizard.
self.assertEqual(sorted(actual.columns), sorted(self.expected.columns))
self.assertEqual(len(actual), 0)
def test_use_default_download(self):
"""When the context.downlad_funcc is defined, use it."""
project = scm.Project()
with mock.patch.object(
scm.Project, "download", return_value=scm.DownloadResult(1, "/", "")
) as download:
_ = cm.get_complexity(self.log, project)
download.assert_called_with(self.log)
def test_handles_no_function(self):
"""Handles files with no function well."""
file_name, rev = 'f.py', 1
def scm_download_files(path_rev_df):
return [cm.scm.FileDownloadResult(file_name, rev, '')]
sublog = pd.DataFrame({'revision': [rev], 'path': [file_name]})
actual = cm.get_complexity(sublog, download_func=scm_download_files)
expected_fields = cm.core._lizard_fields + \
'file_tokens file_nloc path revision'.split()
expected = pd.DataFrame(data={k: [] for k in expected_fields})
self.assertEqual(expected, actual)
def test_handles_no_function(self):
"""Handles files with no function well."""
columns = (
"function".split()
+ cm.core._lizard_fields
+ "file_tokens file_nloc length".split()
)
project = scm.Project()
with mock.patch.object(
scm.Project,
"download",
autospec=True,
return_value=scm.DownloadResult(1, "f.py", ""),
) as download:
actual = (
cm.get_complexity(self.log, project)
.reset_index()
.pipe(pd.Series.astype, "string")
)
download.assert_called_with(project, self.log)
expected = pd.DataFrame(data={k: [] for k in columns}, dtype="string")
self.assertEqual(expected, actual)
def test_simple_analysis(self):
"""Runs complexity trend analysis on this file."""
def scm_download_files(path_revision_df):
return [
cm.scm.FileDownloadResult('f.py', 1, self.file_content_1),
cm.scm.FileDownloadResult('f.py', 2, self.file_content_2)
]
sublog = pd.read_csv(
io.StringIO(
textwrap.dedent("""\
revision,author,date,textmods,kind,action,propmods,path,message
1,elmotec,2018-02-26T10:28:00Z,true,file,M,false,f.py,again
2,elmotec,2018-02-24T11:14:11Z,true,file,M,false,f.py,modified""")))
actual = cm.get_complexity(sublog, download_func=scm_download_files)
expected = pd.read_csv(
io.StringIO(
textwrap.dedent("""\
cyclomatic_complexity,nloc,token_count,name,long_name,start_line,end_line,top_nesting_level,length,fan_in,fan_out,general_fan_out,file_tokens,file_nloc,path,revision
2,4,16,test,test( ),1,4,0,4,0,0,0,17,4,f.py,1
1,2,8,test,test( ),1,2,0,2,0,0,0,9,2,f.py,2""")))
self.assertEqual(expected.columns.tolist(), actual.columns.tolist())
self.assertEqual(expected, actual)
def test_analysis_empty_input_return_empty_output(self, _):
"""Empty input returns and empty dataframe."""
self.log = self.log.iloc[:0]
actual = cm.get_complexity(self.log, utils.FakeProject())
self.assertEqual(list(actual.columns), list(self.expected.columns))
self.assertEqual(len(actual), 0)