v1.0.167: fix grouping dead code (classified→docs) + max_tokens 500→1000

deploy/services/classify.py

@@ -38,7 +38,7 @@ def _call_llm_classify(header_text):
     payload = {
         "model": LLM_MODEL,
         "messages": [{"role": "user", "content": prompt}],
-        "max_tokens": 500,   # классификация укладывается в ~100 токенов ответа
+        "max_tokens": 1000,  # достаточно для JSON с длинными названиями
         "temperature": 0.1,  # минимальная температура для детерминированности
     }
     with httpx.Client(http2=True, timeout=60, verify=False) as client:

deploy/services/grouping.py

@@ -79,9 +79,9 @@ def group_documents(batch_id):
 
         groups.append(group)
 
-    # Unmatched documents → "unresolved" group
+    # Unmatched documents → "unresolved" group (including failed/pending)
     unmatched = [s for s in supplements_list if s.get("doc_type") != "contract"]
-    unmatched += [d for d in classified if d.get("classify_status") != "classified"]
+    unmatched += [d for d in docs if d.get("classify_status") != "classified"]
 
     if unmatched or len(contracts_list) == 0:
         # Put unmatched into a separate group
@@ -92,7 +92,7 @@ def group_documents(batch_id):
                 "documents": unmatched,
             })
 
-    return {"ok": True, "groups": groups, "total_docs": len(classified)}
+    return {"ok": True, "groups": groups, "total_docs": len(docs)}
 
 
 def apply_groups(batch_id, groups_data):