8e63a45a83
- Hourly GitHub Actions workflow - Repository stats aggregator - Code metrics scanner - Infrastructure inventory - Resume data JSON exports - Real-time updates across all BlackRoad infrastructure
78 lines
1.9 KiB
Python
Executable File
78 lines
1.9 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Update codebase metrics
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Aggregates LOC, files, commits across all repos
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"""
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import os
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import json
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from datetime import datetime
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from github import Github
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import subprocess
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token = os.getenv('GITHUB_TOKEN')
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g = Github(token)
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org = g.get_organization('BlackRoad-OS')
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total_loc = 0
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total_files = 0
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total_commits = 0
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languages = {}
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for repo in org.get_repos():
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try:
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# Get commit count
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try:
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commits = repo.get_commits().totalCount
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total_commits += commits
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except:
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commits = 0
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# Get languages
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repo_languages = repo.get_languages()
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for lang, bytes_count in repo_languages.items():
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if lang in languages:
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languages[lang] += bytes_count
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else:
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languages[lang] = bytes_count
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print(f"Processed: {repo.name}")
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except Exception as e:
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print(f"Error processing {repo.name}: {e}")
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# Calculate total bytes
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total_bytes = sum(languages.values())
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# Create language breakdown
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language_breakdown = []
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for lang, bytes_count in sorted(languages.items(), key=lambda x: x[1], reverse=True):
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percentage = (bytes_count / total_bytes * 100) if total_bytes > 0 else 0
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language_breakdown.append({
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'language': lang,
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'bytes': bytes_count,
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'percentage': round(percentage, 2)
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})
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# Estimate LOC (rough: 1 LOC ≈ 50 bytes average)
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estimated_loc = total_bytes // 50
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output = {
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'data': {
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'total_commits': total_commits,
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'total_bytes': total_bytes,
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'estimated_loc': estimated_loc,
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'languages': language_breakdown
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},
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'metadata': {
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'updated_at': datetime.utcnow().isoformat() + 'Z',
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'source': 'github-actions',
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'note': 'LOC is estimated from byte count'
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}
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}
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with open('code-metrics.json', 'w') as f:
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json.dump(output, f, indent=2)
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print(f"✅ Code metrics updated: {estimated_loc:,} estimated LOC")
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