Create compute-entropy.py

make it beautiful

Author: akarnokd

.github/workflows/compute-entropy.py

@@ -0,0 +1,64 @@
+#!/usr/bin/env python3
+import sys, math, json, subprocess
+from collections import Counter
+from pathlib import Path
+
+def shannon_entropy(text: str) -> float:
+    if not text or len(text) < 10:
+        return 0.0
+    freq = Counter(text)
+    probs = [count / len(text) for count in freq.values()]
+    return -sum(p * math.log2(p) for p in probs if p > 0)
+
+# Get changed files safely for pull_request events
+changed_files = []
+try:
+    # GitHub provides github.event.pull_request.base.sha and head.sha in the context
+    base_sha = subprocess.check_output(['git', 'rev-parse', 'origin/${{ github.base_ref }}'], text=True).strip()
+    changed_files = subprocess.check_output(
+        ['git', 'diff', '--name-only', base_sha, 'HEAD'], text=True
+    ).splitlines()
+except subprocess.CalledProcessError:
+    # Fallback for first-time PRs or edge cases: use the merge-base or just files in HEAD
+    try:
+        changed_files = subprocess.check_output(
+            ['git', 'diff', '--name-only', 'HEAD~1', 'HEAD'], text=True
+        ).splitlines()
+    except subprocess.CalledProcessError:
+        # Last resort: all files in the repo
+        changed_files = subprocess.check_output(['git', 'ls-files'], text=True).splitlines()
+
+results = []
+total_ent = 0.0
+count = 0
+
+for f in changed_files:
+    path = Path(f.strip())
+    if not path.exists() or path.suffix in {'.png', '.jpg', '.gif', '.bin', '.lock', '.exe', '.dll', '.so'}:
+        continue
+    try:
+        content = path.read_text(encoding='utf-8', errors='ignore')
+        ent = shannon_entropy(content)
+        results.append(f"{f}: {ent:.3f}")
+        total_ent += ent
+        count += 1
+    except Exception:
+        pass
+
+avg = round(total_ent / count, 3) if count > 0 else 0.0
+
+verdict = (
+    "✅ Mid-4 beauty detected (thoughtful human code!)" if 4.3 <= avg <= 4.7 else
+    "⚠️ Consider review — entropy outside sweet spot" if avg > 0 else
+    "No source files changed"
+)
+
+with open('/tmp/beauty.json', 'w') as f:
+    json.dump({
+        "average_entropy": avg,
+        "verdict": verdict,
+        "files": results[:20]
+    }, f, indent=2)
+
+print(f"Average entropy: {avg}")
+print(verdict)