fix(config): handle empty config.yaml files

tests/utils/test_empty_config.py

@@ -0,0 +1,39 @@
+# Copyright (c) 2025 Beijing Volcano Engine Technology Co., Ltd. and/or its affiliates.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Regression tests for empty YAML configuration files."""
+
+import pytest
+
+from veadk.utils.misc import set_envs
+
+
+@pytest.mark.parametrize(
+    "content", ["", "# Configuration is supplied by environment.\n", "---\n"]
+)
+def test_set_envs_accepts_empty_yaml(tmp_path, content):
+    path = tmp_path / "config.yaml"
+    path.write_text(content, encoding="utf-8")
+
+    assert set_envs(str(path)) == ({}, {})
+
+
+def test_set_envs_keeps_nested_config_and_environment_precedence(tmp_path, monkeypatch):
+    path = tmp_path / "config.yaml"
+    path.write_text("scout_regression:\n  option: configured\n", encoding="utf-8")
+    monkeypatch.setenv("SCOUT_REGRESSION_OPTION", "environment")
+
+    config, environments = set_envs(str(path))
+
+    assert config == {"scout_regression": {"option": "configured"}}
+    assert environments == {"SCOUT_REGRESSION_OPTION": "environment"}

veadk/utils/misc.py

@@ -136,6 +136,8 @@ def set_envs(config_yaml_path: str, env_from_dotenv: dict = None) -> tuple[dict,
 
     with open(config_yaml_path, "r", encoding="utf-8") as yaml_file:
         config_dict = safe_load(yaml_file)
+    if config_dict is None:
+        config_dict = {}
 
     flatten_config_dict = flatten_dict(config_dict)
     config_upper_map = {k.upper(): v for k, v in flatten_config_dict.items()}