feat: 공식 문서 근거자료, 브랜치 기능 문서 작성

2026-07-29 18:05:17 +09:00
parent cfd84875bf
commit 58515ab0f3
251 changed files with 31470 additions and 109 deletions
@@ -0,0 +1,75 @@
+import os
+import re
+import json
+
+lanes_dir = "/home/donghyeon/Documents/LLM Wiki/docs/superpowers/specs/2026-05-27-branch-notes-audit/lanes"
+lane_files = sorted(os.listdir(lanes_dir))
+
+all_extracted = []
+
+for lf in lane_files:
+    if not lf.endswith(".md"):
+        continue
+    
+    path = os.path.join(lanes_dir, lf)
+    with open(path, "r", encoding="utf-8") as f:
+        content = f.read()
+        
+    print(f"Parsing {lf}...")
+    
+    # We want to find each Finding section in the file.
+    # A finding section typically starts with a header like:
+    # "### L1-F01: ..." or "#### Finding 4.1.1: ..."
+    # Let's search for headers or blocks that contain "Severity:" or "심각도:"
+    # and "Source file:", "Source quote:", etc.
+    
+    # Let's split the file by headers to isolate findings.
+    sections = re.split(r"\n(###+ [^\n]+)\n", content)
+    
+    current_header = None
+    for i, part in enumerate(sections):
+        if i == 0:
+            continue
+        if i % 2 == 1:
+            current_header = part
+        else:
+            section_content = part
+            if "Severity" in section_content or "심각도" in section_content:
+                # This is a finding!
+                severity = "Medium"
+                for sev in ["Critical", "High", "Medium", "Low"]:
+                    if re.search(r"(?:Severity|심각도)\s*:\s*" + sev, section_content, re.IGNORECASE):
+                        severity = sev
+                        break
+                        
+                source_file = "Unknown"
+                sf_match = re.search(r"(?:Source file|Source|소스 파일)\s*:\s*`?([^`\n\r]+)`?", section_content)
+                if sf_match:
+                    source_file = sf_match.group(1).strip()
+                    
+                finding_id = "Unknown"
+                id_match = re.search(r"(L\d+-F\d+|Finding\s+\d+\.\d+\.\d+|F-\d+)", current_header)
+                if id_match:
+                    finding_id = id_match.group(1).strip()
+                else:
+                    id_match_in_body = re.search(r"(L\d+-F\d+)", section_content)
+                    if id_match_in_body:
+                        finding_id = id_match_in_body.group(1).strip()
+                
+                title = current_header.replace("#", "").strip()
+                # Clean up title
+                title = re.sub(r"^(L\d+-F\d+|Finding\s+\d+\.\d+\.\d+):\s*", "", title)
+                
+                all_extracted.append({
+                    "lane_file": lf,
+                    "finding_id": finding_id,
+                    "title": title,
+                    "severity": severity,
+                    "source_file": source_file,
+                    "header": current_header
+                })
+
+print(f"\nExtracted {len(all_extracted)} findings in detail!")
+with open("extracted_findings.json", "w", encoding="utf-8") as out_j:
+    json.dump(all_extracted, out_j, indent=2, ensure_ascii=False)
+print("Saved to extracted_findings.json")