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

116 lines
4.1 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.
from __future__ import annotations
import warnings
from google.adk.features._feature_registry import _WARNED_FEATURES
from google.adk.tools.spanner.settings import Capabilities
from google.adk.tools.spanner.settings import QueryResultMode
from google.adk.tools.spanner.settings import SpannerToolSettings
from google.adk.tools.spanner.settings import SpannerVectorStoreSettings
from pydantic import ValidationError
import pytest
@pytest.fixture(autouse=True)
def reset_warned_features():
"""Reset warned features before each test."""
_WARNED_FEATURES.clear()
def common_spanner_vector_store_settings(vector_length=None):
return {
"project_id": "test-project",
"instance_id": "test-instance",
"database_id": "test-database",
"table_name": "test-table",
"content_column": "test-content-column",
"embedding_column": "test-embedding-column",
"vector_length": 128 if vector_length is None else vector_length,
}
def test_spanner_tool_settings_experimental_warning():
"""Test SpannerToolSettings experimental warning."""
with warnings.catch_warnings(record=True) as w:
SpannerToolSettings()
assert len(w) == 1
assert "SPANNER_TOOL_SETTINGS is enabled." in str(w[0].message)
def test_spanner_vector_store_settings_all_fields_present():
"""Test SpannerVectorStoreSettings with all required fields present."""
settings = SpannerVectorStoreSettings(
**common_spanner_vector_store_settings(),
vertex_ai_embedding_model_name="test-embedding-model",
)
assert settings is not None
assert settings.selected_columns == ["test-content-column"]
assert settings.vertex_ai_embedding_model_name == "test-embedding-model"
def test_spanner_vector_store_settings_missing_embedding_model_name():
"""Test SpannerVectorStoreSettings with missing vertex_ai_embedding_model_name."""
with pytest.raises(ValidationError) as excinfo:
SpannerVectorStoreSettings(**common_spanner_vector_store_settings())
assert "Field required" in str(excinfo.value)
assert "vertex_ai_embedding_model_name" in str(excinfo.value)
def test_spanner_vector_store_settings_invalid_vector_length():
"""Test SpannerVectorStoreSettings with invalid vector_length."""
with pytest.raises(ValidationError) as excinfo:
SpannerVectorStoreSettings(
**common_spanner_vector_store_settings(vector_length=0),
vertex_ai_embedding_model_name="test-embedding-model",
)
assert "Invalid vector length in the Spanner vector store settings." in str(
excinfo.value
)
@pytest.mark.parametrize(
"settings_args, expected_rows, expected_mode, expected_role",
[
({}, 50, QueryResultMode.DEFAULT, None),
(
{
"capabilities": [Capabilities.DATA_READ],
"max_executed_query_result_rows": 100,
"query_result_mode": QueryResultMode.DICT_LIST,
},
100,
QueryResultMode.DICT_LIST,
None,
),
(
{"database_role": "test-role"},
50,
QueryResultMode.DEFAULT,
"test-role",
),
],
)
def test_spanner_tool_settings(
settings_args, expected_rows, expected_mode, expected_role
):
"""Test SpannerToolSettings with different values."""
settings = SpannerToolSettings(**settings_args)
assert settings.capabilities == [Capabilities.DATA_READ]
assert settings.max_executed_query_result_rows == expected_rows
assert settings.query_result_mode == expected_mode
assert settings.database_role == expected_role