feat: LLM enrichment (GPT-120) — 137 files, 1 failure (postgres_params_create timeout, copied original)

TOOLS/scripts/05_generate_docs_llm.py

@@ -7,7 +7,7 @@ LLM-улучшатель документации Nubes Terraform Provider.
 Использование:
   python3 05_generate_docs_llm.py generated/test/docs [--out generated/test/docs_llm]
 """
-import json, os, re, shutil, sys, time
+import json, os, re, shutil, sys, time, socket
 from pathlib import Path
 from urllib.request import Request, urlopen
 
@@ -129,9 +129,10 @@ def call_llm(prompt: str) -> str:
         "Authorization": f"Bearer {API_KEY}",
         "Content-Type": "application/json",
     })
-    for attempt in range(3):
+    for attempt in range(2):
         try:
-            with urlopen(req, timeout=120) as resp:
+            socket.setdefaulttimeout(90)
+            with urlopen(req, timeout=90) as resp:
                 result = json.loads(resp.read())
                 content = result["choices"][0]["message"]["content"].strip()
                 if content.startswith("```"):
@@ -140,9 +141,9 @@ def call_llm(prompt: str) -> str:
                         content = "\n".join(lines[1:-1])
                 return content
         except Exception as e:
-            print(f"  retry {attempt+1}/3: {e}", file=sys.stderr)
-            time.sleep(5)
-    raise RuntimeError("LLM failed after 3 retries")
+            print(f"  retry {attempt+1}/2: {e}", file=sys.stderr)
+            time.sleep(3)
+    raise RuntimeError("LLM failed after 2 retries")
 
 
 def extract_man(text: str) -> str:
@@ -237,6 +238,13 @@ def main():
                 continue
 
             total += 1
+            dest = out_dir / f.name
+            
+            # Skip already processed files
+            if dest.exists() and dest.stat().st_size > 100:
+                print(f"  {f.name}... SKIP (already done)", flush=True)
+                continue
+                
             print(f"  {f.name}...", end=" ", flush=True)
 
             content = f.read_text()