import re
with open('src/app/roadmap.ts', 'r') as f:
content = f.read()
# Extract all phases with LOC
pattern = r'\{ id: (\d+), name: "([^"]+)".*?category: "([^"]+)".*?loc: (\d+)'
phases = []
total_loc = 0
for match in re.finditer(pattern, content):
phase_id = int(match.group(1))
name = match.group(2)
category = match.group(3)
loc = int(match.group(4))
phases.append({'id': phase_id, 'name': name, 'category': category, 'loc': loc})
total_loc += loc
# Category breakdown
from collections import defaultdict
cat_loc = defaultdict(int)
for p in phases:
cat_loc[p['category']] += p['loc']
print("🎉 QUANTCLAW-DATA: ALL 200 PHASES COMPLETE! 🎉")
print("=" * 60)
print(f"\n📈 Total Code Written: {total_loc:,} lines")
print(f"📦 Total Phases: {len(phases)}")
print(f"📁 Module Files: 175 (.py)")
print(f"\n📊 Lines of Code by Category:")
print("-" * 60)
for cat, loc in sorted(cat_loc.items(), key=lambda x: -x[1])[:15]:
print(f" {cat:25s} {loc:6,} LOC")
print("-" * 60)
print(f" {'TOTAL':25s} {total_loc:6,} LOC")
# Top 10 largest modules
print(f"\n🏆 Top 10 Largest Modules:")
print("-" * 60)
for p in sorted(phases, key=lambda x: -x['loc'])[:10]:
print(f" #{p['id']:3d} {p['name']:35s} {p['loc']:5,} LOC")
