def extractSourceCodeMetrics(rel_date_list, rel_list, commit_date_dict,
category):
# load metrics
rel_metric_dict, metric_names = loadMetrics4Releases(category, rel_list)
# map and compute metric values
result_list = list()
i = 0
bugs = get_bugs.get_all()
for bug in bugs:
if DEBUG and i > 5:
break
bug_id = bug['id']
commits, _ = patchanalysis.get_commits_for_bug(bug)
print bug_id
# extract metrics
raw_list = list()
metric_list = list()
for commit_id in commits:
i += 1
if DEBUG:
print ' ', commit_id
# corresponding (prior) release of a commit
rel_num = correspondingRelease(commit_id, commit_date_dict,
rel_date_list)
# changed files in a commit
shell_res = shellCommand(
'hg -R %s log -r %s --template {files}\t{diffstat}' %
(HG_REPO_PATH, commit_id)).split('\t')
raw_changed_files = shell_res[0]
cpp_changed_files = re.findall(
r'(\S+\.(?:c|cpp|cc|cxx|h|hpp|hxx)\b)', raw_changed_files)
# map file/node to metrics
for a_file in cpp_changed_files:
metric_dict = rel_metric_dict[rel_num]
for node in metric_dict:
if node in a_file:
metrics = metric_dict[node]
raw_list.append(metrics)
# compute average/sum value for a specific attachment
if len(raw_list):
df = pd.DataFrame(raw_list,
columns=metric_names).apply(pd.to_numeric)
for metric_name in metric_names:
metric_list.append(round(df[metric_name].mean(), 2))
result_list.append([bug_id] + metric_list)
else:
result_list.append([bug_id] + [0] * len(metric_names))
return pd.DataFrame(result_list, columns=['bug_id'] + metric_names)
import csv
import locale
from datetime import datetime
from dateutil import relativedelta
from libmozdata.utils import as_utc
import get_bugs
import utils
# The month abbreviation should be in English.
locale.setlocale(locale.LC_TIME, 'C')
if __name__ == '__main__':
bugs = get_bugs.get_all()
uplifts = utils.get_uplifts(bugs)
months = {}
for uplift in uplifts:
for channel in utils.uplift_approved_channels(uplift):
uplift_date = utils.get_uplift_date(uplift, channel)
if uplift_date > as_utc(datetime(2016, 8, 24)):
continue
delta = relativedelta.relativedelta(uplift_date,
as_utc(datetime(2014, 7, 1)))
delta_num = delta.years * 12 + delta.months
key = (delta_num, uplift_date.strftime('%b %Y'), channel)
if key not in months:
months[key] = 0
months[key] += 1
with open('uplift_dates.csv', 'w') as output_file: