extract routing server data creation routines into standalone module

python/cuopt_server/cuopt_server/tests/test_routing_conversion.py

@@ -0,0 +1,42 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+from cuopt_server.utils.routing import conversion
+from cuopt_server.utils.routing.data_definition import (
+    CostMatrices,
+    FleetData,
+    SolverSettingsConfig,
+    TaskData,
+)
+
+
+def test_pydantic_request_converts_and_prepares_cost_matrix():
+    optimization_data = conversion.populate_optimization_data(
+        cost_matrix_data=CostMatrices(data={0: [[0, 1], [1, 0]]}),
+        fleet_data=FleetData(vehicle_locations=[[0, 0]]),
+        task_data=TaskData(task_locations=[1]),
+        solver_config=SolverSettingsConfig(time_limit=1),
+    )
+
+    prepared, cost_matrix, travel_time_matrix, waypoint_graph = (
+        conversion.prep_optimization_data(optimization_data)
+    )
+
+    assert prepared is optimization_data
+    assert list(cost_matrix) == [0]
+    assert cost_matrix[0].shape == (2, 2)
+    assert travel_time_matrix is None
+    assert waypoint_graph == {}
+
+
+def test_default_solver_time_limit():
+    solver_config = SolverSettingsConfig()
+    optimization_data = conversion.populate_optimization_data(
+        cost_matrix_data=CostMatrices(data={0: [[0, 1], [1, 0]]}),
+        fleet_data=FleetData(vehicle_locations=[[0, 0]]),
+        task_data=TaskData(task_locations=[1]),
+        solver_config=solver_config,
+    )
+
+    assert solver_config.time_limit == 10 + 1 / 6
+    assert optimization_data.solver_config["time_limit"] == 10 + 1 / 6