Stage SMB CF/CFE inputs for Windows Agent

services/api-server/src/api_server/html5_ai_structure_controller.py

@@ -44,6 +44,7 @@ async def html5_ai_structure_run(
     prepare: Callable[..., dict[str, Any]],
     work_root: Path,
     start_binary_job: Callable[..., Any] | None = None,
+    stage_binary_input: Callable[..., Any] | None = None,
     save_run_state: Callable[[str, dict[str, Any]], None] | None = None,
     load_credentials: Callable[[str], SmbCredentials | None] | None = None,
     save_credentials: Callable[[str, SmbCredentials], None] | None = None,
@@ -85,11 +86,26 @@ async def html5_ai_structure_run(
         if binary_match is not None:
             if start_binary_job is None or save_run_state is None:
                 return render_html5_ai_structure_error("Сервис подготовки CF/CFE через Windows Agent не подключен.")
+            binary_input_path = input_path
+            if is_unc_path(input_path) and local_input.exists() and stage_binary_input is not None:
+                try:
+                    binary_input_path = await stage_binary_input(
+                        project_id=project_id,
+                        effective_project_id=effective_project_id,
+                        local_input=local_input,
+                        username=username,
+                        password=password,
+                        domain=domain or None,
+                    )
+                except HTTPException as error:
+                    return render_html5_ai_structure_error(str(error.detail))
+                except RuntimeError as error:
+                    return render_html5_ai_structure_error(str(error))
             try:
                 job = await start_binary_job(
                     project_id=project_id,
                     effective_project_id=effective_project_id,
-                    input_path=input_path,
+                    input_path=binary_input_path,
                     detected_binary_relative_path=binary_match.get("relative_path"),
                     detected_binary_relative_paths=binary_match.get("binary_relative_paths"),
                 )

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

@@ -193,7 +193,7 @@ from api_server.snapshot_module_service import (
     module_sources_for_object as _snapshot_module_sources_for_object,
     snapshot_bsl_completion_items as _snapshot_bsl_completion_items,
 )
-from api_server.smb_paths import is_unc_path
+from api_server.smb_paths import copy_local_tree_to_smb, is_unc_path
 from api_server.time_utils import current_timestamp as _current_timestamp
 from impact_engine import object_impact, routine_impact
 from incremental_indexer import rebuild_changed_file
@@ -657,6 +657,39 @@ async def _queue_ai_structure_agent_step(
     )
 
 
+async def _stage_ai_structure_binary_input_for_agent(
+    *,
+    project_id: str,
+    effective_project_id: str,
+    local_input: Path,
+    username: str,
+    password: str,
+    domain: str | None = None,
+) -> str:
+    settings = _project_settings_or_404(project_id)
+    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.")
+    agent_status = _agent_status_with_liveness(_agent_statuses.get(agent_id, AgentStatus(agent_id=agent_id)))
+    roots = [str(item).strip() for item in getattr(agent_status, "network_roots", []) if str(item).strip()]
+    if not roots:
+        raise HTTPException(
+            status_code=400,
+            detail=f"У Windows Agent {agent_id} не настроены доступные сетевые корни для staging CF/CFE.",
+        )
+    if not local_input.exists():
+        raise HTTPException(status_code=404, detail=f"Сервер не нашел локальную копию входных файлов: {local_input}")
+    stage_root = ntpath.join(roots[0], "SFERA", "ai-structure-staging", f"{effective_project_id}-{uuid4().hex}")
+    copy_local_tree_to_smb(
+        source=local_input,
+        target=stage_root,
+        username=username,
+        password=password,
+        domain=domain or None,
+    )
+    return stage_root
+
+
 async def _start_ai_structure_agent_job(
     *,
     project_id: str,
@@ -2117,6 +2150,7 @@ async def html5_project_ai_structure_run(project_id: str, request: Request) -> R
             prepare=_prepare_ai_structure,
             work_root=_storage.root / "ai_structure_work",
             start_binary_job=_start_ai_structure_agent_job,
+            stage_binary_input=_stage_ai_structure_binary_input_for_agent,
             save_run_state=_save_ai_structure_agent_run,
             load_credentials=_load_ai_structure_smb_credentials,
             save_credentials=_save_ai_structure_smb_credentials,