Github issue analysis

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

# Using gh issue list with search
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)]

# Closed bugs: bug issues that were closed during the month
# closedAt is within Dec 2024
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