Support direct CF and CFE inputs in AI structure flow

services/api-server/src/api_server/main.py

@@ -587,7 +587,14 @@ async def _start_ai_structure_agent_job(*, project_id: str, effective_project_id
     if not binary_files:
         raise HTTPException(status_code=400, detail="Во входном пути не найдены файлы .cf или .cfe.")
 
-    source = ImportSourceKind.CF_FILE if any(path.suffix.casefold() == ".cf" for path in binary_files) else ImportSourceKind.CFE_FILE
+    cf_files = [path for path in binary_files if path.suffix.casefold() == ".cf"]
+    cfe_files = [path for path in binary_files if path.suffix.casefold() == ".cfe"]
+    if cf_files and cfe_files:
+        raise HTTPException(
+            status_code=400,
+            detail="Во входной папке одновременно лежат .cf и .cfe. Укажите конкретный файл, который нужно подготовить для ИИ.",
+        )
+    source = ImportSourceKind.CF_FILE if cf_files else ImportSourceKind.CFE_FILE
     agent_id = _agent_id_for_source(settings, ImportSourceKind.CF_FILE)
     if not agent_id:
         raise HTTPException(status_code=400, detail="В настройках проекта не выбран Windows Agent для CF/CFE.")
@@ -603,26 +610,14 @@ async def _start_ai_structure_agent_job(*, project_id: str, effective_project_id
     local_path: str | None = None
 
     if source == ImportSourceKind.CF_FILE:
-        one_c_server = _agent_string_value(agent, "one_c_server") or _agent_string_value(agent, "published_1c_server") or _agent_string_value(agent, "published_server_url")
-        one_c_infobase = _agent_string_value(agent, "one_c_infobase") or _agent_string_value(agent, "published_infobase")
-        if one_c_server.startswith(("http://", "https://")):
-            one_c_server = urlsplit(one_c_server).hostname or one_c_server
-        if not one_c_server or not one_c_infobase:
+        if len(cf_files) != 1:
             raise HTTPException(
                 status_code=400,
-                detail="Для разбора .cf нужен сервер 1С и имя информационной базы в настройках проекта. Сейчас они не заполнены.",
+                detail="Для прямого разбора .cf укажите один конкретный файл .cf, а не папку с несколькими конфигурациями.",
             )
-        metadata.update(
-            {
-                "one_c_server": one_c_server,
-                "one_c_infobase": one_c_infobase,
-                "one_c_user": _agent_string_value(agent, "one_c_user") or None,
-                "one_c_password": _agent_string_value(agent, "one_c_password") or None,
-                "include_extensions": True,
-            }
-        )
+        local_path = str(cf_files[0])
+        metadata["input_mode"] = "cf_file"
     else:
-        cfe_files = [path for path in binary_files if path.suffix.casefold() == ".cfe"]
         if len(cfe_files) != 1:
             raise HTTPException(
                 status_code=400,
@@ -631,6 +626,7 @@ async def _start_ai_structure_agent_job(*, project_id: str, effective_project_id
         cfe_file = cfe_files[0]
         local_path = str(cfe_file)
         metadata["one_c_extension"] = cfe_file.stem
+        metadata["input_mode"] = "cfe_file"
 
     return await create_agent_import_job(
         effective_project_id,