| name | github-issue-analysis |
| description | Analyze GitHub issues for a date range, counting totals, bug reports (by label substring), and closed bug reports. |
GitHub Issue Analysis
Overview
Fetch issues created in a date range and compute:
- Total issue count (excluding PRs)
- Bug reports: issues with at least one label containing substring
bug
- Resolved bugs: bug report issues closed during the same month
Fetching Issues
gh issue list -R cli/cli \
--search "created:2024-12-01..2024-12-31" \
--state all \
--limit 500 \
--json number,title,labels,state,createdAt,closedAt
Note: gh issue list automatically excludes PRs.
Python: Identify Bug Reports
import json
with open('issues.json') as f:
issues = json.load(f)
def is_bug(issue):
"""Returns True if any label contains 'bug' as substring (case-insensitive)."""
return any('bug' in label['name'].lower() for label in issue.get('labels', []))
total = len(issues)
bugs = [i for i in issues if is_bug(i)]
def closed_in_month(issue, year=2024, month=12):
if not issue.get('closedAt'):
return False
from datetime import datetime, timezone
dt = datetime.fromisoformat(issue['closedAt'].replace('Z', '+00:00'))
return dt.year == year and dt.month == month
resolved_bugs = [i for i in bugs if closed_in_month(i)]
print(json.dumps({
"total": total,
"bug": len(bugs),
"resolved_bugs": len(resolved_bugs)
}, indent=2))
Label Matching Examples
Labels that match bug substring:
bug ✓type: bug ✓kind/bug ✓bug-report ✓debug — contains bug as substring ✓ (be aware)
For stricter matching (word boundary), use regex:
import re
def is_bug(issue):
return any(re.search(r'bug', label['name'], re.IGNORECASE)
for label in issue.get('labels', []))
Important: closedAt vs state
closedAt is set when an issue is closed (regardless of month)- To find bugs closed during December, filter
closedAt to be within Dec 2024
- An issue created in Dec but closed in Jan would NOT count as
resolved_bugs
