Python
import requests
from datetime import datetime, timedelta
import json

def analyze_repo_activity(owner, repo, github_token=None):
    """Analyze GitHub repository activity in last 30 days"""
    base_url = f"https://api.github.com/repos/{owner}/{repo}"
    headers = {"Authorization": f"token {github_token}"} if github_token else {}
    
    thirty_days_ago = (datetime.now() - timedelta(days=30)).isoformat()
    
    # Get commits from last 30 days
    commits_url = f"{base_url}/commits"
    commits_params = {"since": thirty_days_ago}
    commits_response = requests.get(commits_url, headers=headers, params=commits_params)
    
    if commits_response.status_code == 200:
        commits = commits_response.json()
        print(f"Commits in last 30 days: {len(commits)}")
        
        # Analyze contributors
        contributors = {}
        for commit in commits:
            author = commit['commit']['author']['name']
            contributors[author] = contributors.get(author, 0) + 1
        
        print("\nTop contributors:")
        for author, count in sorted(contributors.items(), key=lambda x: x[1], reverse=True)[:5]:
            print(f"  {author}: {count} commits")
    
    return commits

# Usage
commits = analyze_repo_activity("owner", "repository", "your_token")

Progress:

• Set up GitHub API access (token recommended for higher rate limits)
• Fetch commits from last 30 days using GitHub API
• Analyze commit frequency and patterns
• Identify top contributors and their activity
• Check pull request activity
• Review issue creation and resolution
• Generate activity summary report

Detailed Steps

1. Initialize API Connection

   • Use GitHub personal access token for authenticated requests
   • Set proper headers and base URL for repository

2. Fetch Recent Commits

   • Query commits endpoint with since parameter
   • Filter to last 30 days using ISO timestamp
   • Handle pagination for repositories with high activity

3. Analyze Commit Data

   • Count total commits
   • Group by author to find top contributors
   • Track daily/weekly commit patterns
   • Identify commit message patterns

4. Pull Request Analysis

   • Fetch PRs created/merged in timeframe
   • Calculate average PR lifetime
   • Identify review patterns

5. Issue Tracking

   • Count new issues opened
   • Track issues closed/resolved
   • Measure response times