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chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

73 lines
2.3 KiB
Python

# 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