fix(ревью#2): db_docs→_db + classify_raw в MemRepo + try/except в build_classify_prompt

deploy/services/classify.py

@@ -92,8 +92,8 @@ def classify_batch(batch_id, llm_client=None, repo=None):
     _llm = llm_client if llm_client else _get_classify_client()
 
     # Сбросить статус — allow re-classify after file changes
-    db_docs.reset_classify_status(batch_id)
-    pending = db_docs.list_pending(batch_id)
+    _db.reset_classify_status(batch_id)
+    pending = _db.list_pending(batch_id)
     if not pending:
         return {"ok": False, "error": "no pending documents"}
 
@@ -110,24 +110,24 @@ def classify_batch(batch_id, llm_client=None, repo=None):
         try:
             # Stage 1: garbage by filename (0 tokens)
             if _is_garbage_by_filename(doc["filename"]):
-                db_docs.set_classify_garbage(doc["id"], "filename_regex")
+                _db.set_classify_garbage(doc["id"], "filename_regex")
                 garbage += 1
                 return True
 
             # Stage 2: garbage by header keywords (0 tokens)
             text = _smart_extract(doc["elements_json"])
             if _is_garbage_by_header(text):
-                db_docs.set_classify_garbage(doc["id"], "header_keywords")
+                _db.set_classify_garbage(doc["id"], "header_keywords")
                 garbage += 1
                 return True
 
             # Stage 3: LLM classification (only for remaining)
-            db_docs.set_classify_processing(doc["id"])  # crash recovery marker
+            _db.set_classify_processing(doc["id"])  # crash recovery marker
             result, raw, needed_fix = _call_llm_classify(text, _llm)
             json_total += 1
             if needed_fix:
                 json_fixes += 1
-            db_docs.set_classification(
+            _db.set_classification(
                 doc["id"],
                 result.get("doc_type", "other"),
                 result.get("own_number"),
@@ -139,7 +139,7 @@ def classify_batch(batch_id, llm_client=None, repo=None):
             )
             return True
         except Exception as e:
-            db_docs.set_classify_failed(doc["id"], str(e))
+            _db.set_classify_failed(doc["id"], str(e))
             return False
 
     with ThreadPoolExecutor(max_workers=MAX_WORKERS) as pool: