feat(mcp): queue long-running calculations

app/algorithms/dma_leakage_estimation/genetic_optimizer.py

@@ -15,7 +15,7 @@ from pymoo.optimize import minimize as pymoo_minimize
 from pymoo.termination.default import DefaultSingleObjectiveTermination
 
 
-from app.algorithms._utils import _cleanup_temp_files
+from app.algorithms._utils import _cleanup_temp_files, calculation_temp_directory
 
 _worker_data: dict[str, Any] = {}
 DEFAULT_N_WORKERS = max(1, min(cpu_count() - 1, 4))
@@ -92,7 +92,7 @@ def _worker_evaluate(raw_ratios: np.ndarray) -> float:
             demand_obj.base_value = original_val + per_node_leak
             modifications.append((demand_obj, original_val))
 
-    temp_dir = os.path.abspath(os.path.join("temp", "leakage"))
+    temp_dir = calculation_temp_directory("leakage")
     os.makedirs(temp_dir, exist_ok=True)
     prefix = os.path.join(temp_dir, f"temp_{os.getpid()}")
 
@@ -569,7 +569,7 @@ class LeakageProblem(Problem):
                 modifications.append((demand_obj, original_val))
 
         # 结果保存在根目录的temp/leakage文件夹中
-        temp_dir = os.path.abspath(os.path.join("temp", "leakage"))
+        temp_dir = calculation_temp_directory("leakage")
         os.makedirs(temp_dir, exist_ok=True)
         prefix = os.path.join(temp_dir, f"temp_{os.getpid()}")