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310 lines
9.7 KiB
Python
310 lines
9.7 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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from unittest import mock
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from google.adk.tools.bigtable import client
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from google.adk.tools.bigtable.query_tool import execute_sql
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from google.adk.tools.bigtable.settings import BigtableToolSettings
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from google.adk.tools.tool_context import ToolContext
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from google.auth.credentials import Credentials
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from google.cloud.bigtable.data.execute_query import ExecuteQueryIterator
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import pytest
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@pytest.mark.asyncio
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@pytest.mark.parametrize(
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(
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"query",
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"settings",
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"parameters",
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"parameter_types",
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"execute_query_side_effect",
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"iterator_yield_values",
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"expected_result",
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),
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[
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pytest.param(
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"SELECT * FROM my_table",
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BigtableToolSettings(),
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None,
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None,
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None,
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[{"col1": "val1", "col2": 123}],
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{"status": "SUCCESS", "rows": [{"col1": "val1", "col2": 123}]},
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id="basic",
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),
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pytest.param(
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"SELECT * FROM my_table",
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BigtableToolSettings(max_query_result_rows=1),
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None,
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None,
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None,
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[{"col1": "val1"}, {"col1": "val2"}],
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{
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"status": "SUCCESS",
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"rows": [{"col1": "val1"}],
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"result_is_likely_truncated": True,
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},
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id="truncated",
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),
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pytest.param(
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"SELECT * FROM my_table",
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BigtableToolSettings(),
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None,
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None,
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Exception("Test error"),
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None,
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{"status": "ERROR", "error_details": "Test error"},
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id="error",
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),
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pytest.param(
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"SELECT * FROM my_table WHERE col1 = @param1",
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BigtableToolSettings(),
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{"param1": "val1"},
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{"param1": "string"},
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None,
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[{"col1": "val1"}],
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{"status": "SUCCESS", "rows": [{"col1": "val1"}]},
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id="with_parameters",
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),
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pytest.param(
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"SELECT * FROM my_table WHERE 1=0",
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BigtableToolSettings(),
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None,
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None,
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None,
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[],
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{"status": "SUCCESS", "rows": []},
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id="empty_results",
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),
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pytest.param(
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"SELECT * FROM my_table",
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BigtableToolSettings(max_query_result_rows=10),
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None,
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None,
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None,
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[{"id": 1, "name": "Alice"}, {"id": 2, "name": "Bob"}],
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{
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"status": "SUCCESS",
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"rows": [{"id": 1, "name": "Alice"}, {"id": 2, "name": "Bob"}],
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},
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id="multiple_rows",
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),
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pytest.param(
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"SELECT * FROM my_table",
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None,
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None,
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None,
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None,
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[{"id": i} for i in range(51)],
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{
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"status": "SUCCESS",
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"rows": [{"id": i} for i in range(50)],
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"result_is_likely_truncated": True,
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},
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id="settings_none_uses_default",
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),
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pytest.param(
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"SELECT * FROM my_table",
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BigtableToolSettings(),
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None,
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None,
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None,
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Exception("Iteration failed"),
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{"status": "ERROR", "error_details": "Iteration failed"},
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id="iteration_error_calls_close",
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),
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],
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)
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async def test_execute_sql(
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query,
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settings,
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parameters,
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parameter_types,
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execute_query_side_effect,
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iterator_yield_values,
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expected_result,
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):
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"""Test execute_sql tool functionality."""
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project = "my_project"
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instance_id = "my_instance"
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credentials = mock.create_autospec(Credentials, instance=True)
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tool_context = mock.create_autospec(ToolContext, instance=True)
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with mock.patch.object(client, "get_bigtable_data_client") as mock_get_client:
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mock_client = mock.MagicMock()
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mock_get_client.return_value = mock_client
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if execute_query_side_effect:
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mock_client.execute_query.side_effect = execute_query_side_effect
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else:
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mock_iterator = mock.create_autospec(ExecuteQueryIterator, instance=True)
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mock_client.execute_query.return_value = mock_iterator
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if isinstance(iterator_yield_values, Exception):
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def raise_error():
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yield mock.MagicMock()
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raise iterator_yield_values
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mock_iterator.__iter__.side_effect = raise_error
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else:
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mock_rows = []
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for fields in iterator_yield_values:
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mock_row = mock.MagicMock()
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mock_row.fields = fields
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mock_rows.append(mock_row)
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mock_iterator.__iter__.return_value = mock_rows
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result = await execute_sql(
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project_id=project,
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instance_id=instance_id,
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credentials=credentials,
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query=query,
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settings=settings,
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tool_context=tool_context,
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parameters=parameters,
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parameter_types=parameter_types,
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)
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if expected_result["status"] == "ERROR":
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assert result["status"] == "ERROR"
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assert expected_result["error_details"] in result["error_details"]
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else:
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assert result == expected_result
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if not execute_query_side_effect:
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mock_client.execute_query.assert_called_once_with(
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query=query,
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instance_id=instance_id,
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parameters=parameters,
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parameter_types=parameter_types,
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view_parameters=None,
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)
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mock_iterator.close.assert_called_once()
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@pytest.mark.asyncio
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async def test_execute_sql_row_value_circular_reference_fallback():
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"""Test execute_sql converts circular row values to strings."""
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project = "my_project"
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instance_id = "my_instance"
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query = "SELECT * FROM my_table"
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credentials = mock.create_autospec(Credentials, instance=True)
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tool_context = mock.create_autospec(ToolContext, instance=True)
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with mock.patch.object(client, "get_bigtable_data_client") as mock_get_client:
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mock_client = mock.MagicMock()
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mock_get_client.return_value = mock_client
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mock_iterator = mock.create_autospec(ExecuteQueryIterator, instance=True)
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mock_client.execute_query.return_value = mock_iterator
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circular_value = []
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circular_value.append(circular_value)
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mock_row = mock.MagicMock()
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mock_row.fields = {"col1": circular_value}
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mock_iterator.__iter__.return_value = [mock_row]
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result = await execute_sql(
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project_id=project,
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instance_id=instance_id,
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credentials=credentials,
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query=query,
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settings=BigtableToolSettings(),
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tool_context=tool_context,
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)
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assert result["status"] == "SUCCESS"
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assert result["rows"][0]["col1"] == str(circular_value)
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@pytest.mark.asyncio
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async def test_execute_sql_with_view_parameters():
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"""Test execute_sql with _view_parameters passed."""
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project = "my_project"
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instance_id = "my_instance"
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query = "SELECT * FROM my_table"
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credentials = mock.create_autospec(Credentials, instance=True)
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tool_context = mock.create_autospec(ToolContext, instance=True)
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view_parameters = {"user_id": "test-user-123"}
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with mock.patch.object(client, "get_bigtable_data_client") as mock_get_client:
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mock_client = mock.MagicMock()
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mock_get_client.return_value = mock_client
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mock_iterator = mock.create_autospec(ExecuteQueryIterator, instance=True)
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mock_client.execute_query.return_value = mock_iterator
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mock_iterator.__iter__.return_value = []
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result = await execute_sql(
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project_id=project,
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instance_id=instance_id,
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credentials=credentials,
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query=query,
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settings=BigtableToolSettings(),
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tool_context=tool_context,
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_view_parameters=view_parameters,
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)
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assert result["status"] == "SUCCESS"
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mock_client.execute_query.assert_called_once_with(
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query=query,
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instance_id=instance_id,
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parameters=None,
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parameter_types=None,
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view_parameters=view_parameters,
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)
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@pytest.mark.asyncio
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async def test_execute_sql_with_multiple_view_parameters():
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"""Test execute_sql with multiple view_parameters of different names."""
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project = "my_project"
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instance_id = "my_instance"
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query = "SELECT * FROM my_table"
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credentials = mock.create_autospec(Credentials, instance=True)
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tool_context = mock.create_autospec(ToolContext, instance=True)
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view_parameters = {
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"user_id": "test-user-123",
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"tenant_id": "tenant-xyz",
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"role": "admin",
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}
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with mock.patch.object(client, "get_bigtable_data_client") as mock_get_client:
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mock_client = mock.MagicMock()
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mock_get_client.return_value = mock_client
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mock_iterator = mock.create_autospec(ExecuteQueryIterator, instance=True)
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mock_client.execute_query.return_value = mock_iterator
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mock_iterator.__iter__.return_value = []
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result = await execute_sql(
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project_id=project,
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instance_id=instance_id,
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credentials=credentials,
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query=query,
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settings=BigtableToolSettings(),
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tool_context=tool_context,
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_view_parameters=view_parameters,
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)
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assert result["status"] == "SUCCESS"
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mock_client.execute_query.assert_called_once_with(
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query=query,
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instance_id=instance_id,
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parameters=None,
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parameter_types=None,
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view_parameters=view_parameters,
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)
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