chore: import upstream snapshot with attribution

tests/integration/test_generate_eval_cases_cli.py

@@ -0,0 +1,72 @@
+# Copyright 2026 Google LLC
+#
+# 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.
+
+"""Tests for generate_eval_cases CLI command."""
+
+import json
+import os
+import pathlib
+
+from click.testing import CliRunner
+# We must mock or import the command safely for pytest
+from google.adk.cli.cli_tools_click import cli_generate_eval_cases
+import pytest
+
+
+def test_cli_generate_eval_cases_integration(tmp_path):
+  """E2E Test for the Vertex AI Scenario Generation Facade via the CLI."""
+  # This requires identical project setup to Kokoro's e2e_test_gcp_ubuntu_docker
+  if not os.environ.get("GOOGLE_CLOUD_PROJECT"):
+    pytest.skip(
+        "GOOGLE_CLOUD_PROJECT is not set. Skipping generation CLI integration"
+        " test."
+    )
+
+  # 1. Provide a UserSimulationConfig proxy
+  config_file = tmp_path / "user_sim_config.json"
+  config_data = {
+      "generation_instruction": (
+          "Generate a test conversation scenario where the user asks a simple"
+          " question."
+      ),
+      "count": 1,
+      "model_name": "gemini-2.5-flash",
+  }
+  with open(config_file, "w") as f:
+    json.dump(config_data, f)
+
+  eval_set_id = "cli_gen_test_eval_set"
+
+  # 2. Invoke the command via click's testing runner
+  runner = CliRunner()
+  result = runner.invoke(
+      cli_generate_eval_cases,
+      [
+          str(
+              pathlib.Path(__file__).parent
+              / "fixture"
+              / "home_automation_agent"
+          ),
+          eval_set_id,
+          f"--user_simulation_config_file={config_file}",
+          "--log_level=DEBUG",
+      ],
+  )
+
+  # 3. Assert correct output
+  assert (
+      result.exit_code == 0
+  ), f"Command failed: {result.exception}\nOutput: {result.output}"
+  assert "Generating scenarios utilizing Vertex AI Eval SDK..." in result.output
+  assert "added to eval set" in result.output