def test_with_dates(path_to_repo, filepath, since, to, expected_count,
expected_max, expected_avg):
metric = LinesCount(path_to_repo=path_to_repo, since=since, to=to)
actual_count = metric.count_added()
actual_max = metric.max_added()
actual_avg = metric.avg_added()
filepath = str(Path(filepath))
assert actual_count[filepath] == expected_count
assert actual_max[filepath] == expected_max
assert actual_avg[filepath] == expected_avg
def test_with_commits(path_to_repo, filepath, from_commit, to_commit, expected_count, expected_max, expected_avg):
metric = LinesCount(path_to_repo=path_to_repo,
from_commit=from_commit,
to_commit=to_commit)
actual_count = metric.count_added()
actual_max = metric.max_added()
actual_avg = metric.avg_added()
filepath = str(Path(filepath))
assert actual_count[filepath] == expected_count
assert actual_max[filepath] == expected_max
assert actual_avg[filepath] == expected_avg
def get_process_metrics(self, from_commit: str, to_commit: str) -> dict:
""" Extract process metrics for an evolution period.
Parameters
----------
from_commit : str
Hash of release start
to_commit : str
Hash of release end
"""
change_set = ChangeSet(self.path_to_repo, from_commit=from_commit, to_commit=to_commit)
code_churn = CodeChurn(self.path_to_repo, from_commit=from_commit, to_commit=to_commit, ignore_added_files=True)
commits_count = CommitsCount(self.path_to_repo, from_commit=from_commit, to_commit=to_commit)
contributors_count = ContributorsCount(self.path_to_repo, from_commit=from_commit, to_commit=to_commit)
highest_contributors_experience = ContributorsExperience(self.path_to_repo, from_commit=from_commit,
to_commit=to_commit)
median_hunks_count = HunksCount(self.path_to_repo, from_commit=from_commit, to_commit=to_commit)
lines_count = LinesCount(self.path_to_repo, from_commit=from_commit, to_commit=to_commit)
return {
'dict_change_set_max': change_set.max(),
'dict_change_set_avg': change_set.avg(),
'dict_code_churn_count': code_churn.count(),
'dict_code_churn_max': code_churn.max(),
'dict_code_churn_avg': code_churn.avg(),
'dict_commits_count': commits_count.count(),
'dict_contributors_count': contributors_count.count(),
'dict_minor_contributors_count': contributors_count.count_minor(),
'dict_highest_contributor_experience': highest_contributors_experience.count(),
'dict_hunks_median': median_hunks_count.count(),
'dict_additions': lines_count.count_added(),
'dict_additions_max': lines_count.max_added(),
'dict_additions_avg': lines_count.avg_added(),
'dict_deletions': lines_count.count_removed(),
'dict_deletions_max': lines_count.max_removed(),
'dict_deletions_avg': lines_count.avg_removed()}