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116 lines
4.1 KiB
Python
116 lines
4.1 KiB
Python
# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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import warnings
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from google.adk.features._feature_registry import _WARNED_FEATURES
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from google.adk.tools.spanner.settings import Capabilities
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from google.adk.tools.spanner.settings import QueryResultMode
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from google.adk.tools.spanner.settings import SpannerToolSettings
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from google.adk.tools.spanner.settings import SpannerVectorStoreSettings
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from pydantic import ValidationError
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import pytest
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@pytest.fixture(autouse=True)
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def reset_warned_features():
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"""Reset warned features before each test."""
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_WARNED_FEATURES.clear()
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def common_spanner_vector_store_settings(vector_length=None):
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return {
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"project_id": "test-project",
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"instance_id": "test-instance",
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"database_id": "test-database",
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"table_name": "test-table",
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"content_column": "test-content-column",
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"embedding_column": "test-embedding-column",
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"vector_length": 128 if vector_length is None else vector_length,
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}
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def test_spanner_tool_settings_experimental_warning():
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"""Test SpannerToolSettings experimental warning."""
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with warnings.catch_warnings(record=True) as w:
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SpannerToolSettings()
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assert len(w) == 1
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assert "SPANNER_TOOL_SETTINGS is enabled." in str(w[0].message)
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def test_spanner_vector_store_settings_all_fields_present():
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"""Test SpannerVectorStoreSettings with all required fields present."""
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settings = SpannerVectorStoreSettings(
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**common_spanner_vector_store_settings(),
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vertex_ai_embedding_model_name="test-embedding-model",
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)
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assert settings is not None
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assert settings.selected_columns == ["test-content-column"]
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assert settings.vertex_ai_embedding_model_name == "test-embedding-model"
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def test_spanner_vector_store_settings_missing_embedding_model_name():
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"""Test SpannerVectorStoreSettings with missing vertex_ai_embedding_model_name."""
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with pytest.raises(ValidationError) as excinfo:
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SpannerVectorStoreSettings(**common_spanner_vector_store_settings())
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assert "Field required" in str(excinfo.value)
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assert "vertex_ai_embedding_model_name" in str(excinfo.value)
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def test_spanner_vector_store_settings_invalid_vector_length():
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"""Test SpannerVectorStoreSettings with invalid vector_length."""
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with pytest.raises(ValidationError) as excinfo:
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SpannerVectorStoreSettings(
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**common_spanner_vector_store_settings(vector_length=0),
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vertex_ai_embedding_model_name="test-embedding-model",
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)
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assert "Invalid vector length in the Spanner vector store settings." in str(
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excinfo.value
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)
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@pytest.mark.parametrize(
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"settings_args, expected_rows, expected_mode, expected_role",
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[
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({}, 50, QueryResultMode.DEFAULT, None),
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(
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{
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"capabilities": [Capabilities.DATA_READ],
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"max_executed_query_result_rows": 100,
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"query_result_mode": QueryResultMode.DICT_LIST,
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},
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100,
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QueryResultMode.DICT_LIST,
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None,
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),
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(
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{"database_role": "test-role"},
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50,
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QueryResultMode.DEFAULT,
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"test-role",
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),
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],
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)
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def test_spanner_tool_settings(
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settings_args, expected_rows, expected_mode, expected_role
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):
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"""Test SpannerToolSettings with different values."""
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settings = SpannerToolSettings(**settings_args)
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assert settings.capabilities == [Capabilities.DATA_READ]
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assert settings.max_executed_query_result_rows == expected_rows
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assert settings.query_result_mode == expected_mode
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assert settings.database_role == expected_role
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