add author_str prop

Author: tarnopolskyi

uncoder-core/app/translator/core/models/query_container.py

@@ -73,6 +73,11 @@ def __init__(
         self.parsed_logsources = parsed_logsources or {}
         self.timeframe = timeframe
 
+    @property
+    def author_str(self) -> Optional[str]:
+        if self.author:
+            return ", ".join(self.author)
+
 
 @dataclass
 class RawQueryContainer:

uncoder-core/app/translator/platforms/roota/renders/roota.py

@@ -131,7 +131,7 @@ def generate(
         rule = copy.deepcopy(ROOTA_RULE_TEMPLATE)
         rule["name"] = tokenized_query_container.meta_info.title or _AUTOGENERATED_TEMPLATE
         rule["details"] = tokenized_query_container.meta_info.description or rule["details"]
-        rule["author"] = ", ".join(tokenized_query_container.meta_info.author) or rule["author"]
+        rule["author"] = tokenized_query_container.meta_info.author_str or rule["author"]
         rule["severity"] = tokenized_query_container.meta_info.severity or rule["severity"]
         rule["date"] = tokenized_query_container.meta_info.date
         rule["detection"]["language"] = rule_query_language

uncoder-core/app/translator/platforms/sigma/renders/sigma.py

@@ -299,7 +299,7 @@ def generate_from_tokenized_query_container(self, query_container: TokenizedQuer
             "id": meta_info.id,
             "description": description_str,
             "status": "experimental",
-            "author": ', '.join(meta_info.author),
+            "author": query_container.meta_info.author_str,
             "references": meta_info.references,
             "tags": meta_info.tags,
             "logsource": log_source_signature.log_sources,