DEPosit / Scripts /compute_interactions_for_SE4DE_repos.py
taher-ghaleb's picture
DEPosit Dataset
031cf82
Raw
History Blame Contribute Delete
9.19 kB
"""
compute_interactions_for_SE4DE_repos.py
-----------------------------------------
Computes the five interaction types from Table 4 of Das et al. (EASE 2022)
per repo, broken down by artifact type (commits / issues / pull_requests).
Interaction types:
Contribution — author != committer on a commit
Maintenance — non-creator merged/closed an artifact
Process — creator interacted with a maintainer (proxy: artifact
closed/merged by someone else)
Review — commenter != creator (proxy: review events + inline comments)
Discussion — two non-creators commented on the same artifact (proxy:
review activity on PRs with >1 distinct reviewer)
Lookup dicts are built from the smaller files (pr_reviews, issue_closers).
The larger files (commits, prs, issues) are streamed one row at a time.
Reads:
../Data/DE_all_commits_details.csv
../Data/DE_all_pr_details.csv
../Data/DE_all_pr_reviews_graphql.csv
../Data/DE_all_issue_details.csv
../Data/DE_all_issue_closers.csv
Writes:
../Data/DE_repo_interactions.csv
"""
import csv
import sys
from collections import defaultdict
def set_csv_field_size_limit():
csv.field_size_limit(min(sys.maxsize, 10**7))
def count_data_rows(csv_path):
"""Count logical CSV records, not physical newlines."""
set_csv_field_size_limit()
with open(csv_path, 'r', encoding='utf-8', newline='') as f:
return sum(1 for _ in csv.reader(f)) - 1
def load_merger_lookup(pr_reviews_csv):
"""
Build (full_name, pr_number) -> (merger_login, num_reviewers,
num_review_events) from pr_reviews. Loaded fully — smaller file.
"""
set_csv_field_size_limit()
lookup = {}
with open(pr_reviews_csv, newline='', encoding='utf-8') as f:
for row in csv.DictReader(f):
full_name = row['full_name'].strip()
try:
pr_number = int(row['pr_number'])
except (ValueError, KeyError):
continue
try:
num_reviewers = int(row.get('num_reviewers', 0) or 0)
num_review_events = int(row.get('num_review_events', 0) or 0)
except ValueError:
num_reviewers, num_review_events = 0, 0
lookup[(full_name, pr_number)] = (
row.get('merger_login', '').strip(),
num_reviewers,
num_review_events,
)
return lookup
def load_closer_lookup(issue_closers_csv):
"""
Build (full_name, issue_number) -> (opener_login, closer_login).
Loaded fully — lightweight columns.
"""
set_csv_field_size_limit()
lookup = {}
with open(issue_closers_csv, newline='', encoding='utf-8') as f:
for row in csv.DictReader(f):
full_name = row['full_name'].strip()
try:
issue_number = int(row['issue_number'])
except (ValueError, KeyError):
continue
lookup[(full_name, issue_number)] = (
row.get('opener_login', '').strip(),
row.get('closer_login', '').strip(),
)
return lookup
def iter_csv(csv_path):
"""Stream rows from a CSV file one at a time."""
set_csv_field_size_limit()
with open(csv_path, newline='', encoding='utf-8') as f:
yield from csv.DictReader(f)
if __name__ == '__main__':
commits_csv = '../Data/DE_all_commits_details.csv'
prs_csv = '../Data/DE_all_pr_details.csv'
pr_reviews_csv = '../Data/DE_all_pr_reviews_graphql.csv'
issues_csv = '../Data/DE_all_issue_details.csv'
closers_csv = '../Data/DE_all_issue_closers.csv'
output_csv = '../Data/DE_repo_interactions.csv'
print('Building merger lookup from pr_reviews ...')
merger_lookup = load_merger_lookup(pr_reviews_csv)
print(f' {len(merger_lookup):,} PR merger entries loaded.')
print('Building closer lookup from issue_closers ...')
closer_lookup = load_closer_lookup(closers_csv)
print(f' {len(closer_lookup):,} issue closer entries loaded.')
# counts[full_name][interaction_type] = int
counts = defaultdict(lambda: defaultdict(int))
# ------------------------------------------------------------------ Commits
print('Counting rows in commits file...')
total_commits = count_data_rows(commits_csv)
print(f' Streaming {total_commits:,} commit rows ...')
for idx, row in enumerate(iter_csv(commits_csv), 1):
if idx % 100_000 == 0:
print(f' {idx:,}/{total_commits:,} commits processed ...')
full_name = row.get('full_name', '').strip()
author = row.get('author_login', '').strip()
committer = row.get('committer_login', '').strip()
# Contribution: someone other than author committed the work
if author and committer and author != committer:
counts[full_name]['contribution_commits'] += 1
# ------------------------------------------------------------------ PRs
print('Counting rows in pr_details file...')
total_prs = count_data_rows(prs_csv)
print(f' Streaming {total_prs:,} PR rows ...')
for idx, row in enumerate(iter_csv(prs_csv), 1):
if idx % 100_000 == 0:
print(f' {idx:,}/{total_prs:,} PRs processed ...')
full_name = row.get('full_name', '').strip()
try:
pr_number = int(row.get('pr_number', ''))
except ValueError:
continue
author = row.get('user_login', '').strip()
merged_at = row.get('merged_at', '').strip()
is_merged = bool(merged_at)
merger, num_reviewers, num_review_events = \
merger_lookup.get((full_name, pr_number), ('', 0, 0))
if is_merged and merger and author and merger != author:
# Maintenance: non-author merged the PR
counts[full_name]['maintenance_prs'] += 1
# Process: author interacted with the maintainer who merged it
counts[full_name]['process_prs'] += 1
# Review: any review activity on the PR
counts[full_name]['review_prs'] += num_review_events
# Discussion: review activity when >1 distinct reviewer
if num_reviewers >= 2:
counts[full_name]['discussion_prs'] += num_review_events
# ------------------------------------------------------------------ Issues
print('Counting rows in issue_details file...')
total_issues = count_data_rows(issues_csv)
print(f' Streaming {total_issues:,} issue rows ...')
for idx, row in enumerate(iter_csv(issues_csv), 1):
if idx % 100_000 == 0:
print(f' {idx:,}/{total_issues:,} issues processed ...')
full_name = row.get('full_name', '').strip()
try:
issue_number = int(row.get('issue_number', ''))
except ValueError:
continue
opener = row.get('user_login', '').strip()
state = row.get('state', '').strip()
try:
comment_count = int(row.get('comments', 0) or 0)
except ValueError:
comment_count = 0
_, closer = closer_lookup.get((full_name, issue_number), ('', ''))
if state == 'closed' and closer and opener and closer != opener:
# Maintenance: non-creator closed the issue
counts[full_name]['maintenance_issues'] += 1
# Process: creator interacted with the maintainer who closed it
counts[full_name]['process_issues'] += 1
# Review proxy: total comments on issues
counts[full_name]['review_issues'] += comment_count
# Discussion proxy: comments on issues involving a non-creator
if closer and closer != opener and comment_count > 0:
counts[full_name]['discussion_issues'] += comment_count
# ------------------------------------------------------------------ Write
all_repos = set(counts.keys())
print(f'Writing {len(all_repos):,} repo records to {output_csv} ...')
fieldnames = [
'full_name',
'contribution_commits',
'maintenance_issues', 'process_issues', 'review_issues', 'discussion_issues',
'maintenance_prs', 'process_prs', 'review_prs', 'discussion_prs',
]
with open(output_csv, 'w', newline='', encoding='utf-8') as outfile:
writer = csv.DictWriter(outfile, fieldnames=fieldnames)
writer.writeheader()
for fn in sorted(all_repos):
c = counts[fn]
writer.writerow({
'full_name': fn,
'contribution_commits': c['contribution_commits'],
'maintenance_issues': c['maintenance_issues'],
'process_issues': c['process_issues'],
'review_issues': c['review_issues'],
'discussion_issues': c['discussion_issues'],
'maintenance_prs': c['maintenance_prs'],
'process_prs': c['process_prs'],
'review_prs': c['review_prs'],
'discussion_prs': c['discussion_prs'],
})
print(f'Done. Output: {output_csv}')