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

297 lines
9.8 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 unittest.mock import MagicMock
from unittest.mock import patch
from google.adk.tools.spanner import metadata_tool
from google.cloud.spanner_admin_database_v1.types import DatabaseDialect
import pytest
@pytest.fixture
def mock_credentials():
return MagicMock()
@pytest.fixture
def mock_spanner_ids():
return {
"project_id": "test-project",
"instance_id": "test-instance",
"database_id": "test-database",
"table_name": "test-table",
}
@patch("google.adk.tools.spanner.client.get_spanner_client")
def test_list_table_names_success(
mock_get_spanner_client, mock_spanner_ids, mock_credentials
):
"""Test list_table_names function with success."""
mock_spanner_client = MagicMock()
mock_instance = MagicMock()
mock_database = MagicMock()
mock_table = MagicMock()
mock_table.table_id = "table1"
mock_database.list_tables.return_value = [mock_table]
mock_instance.database.return_value = mock_database
mock_spanner_client.instance.return_value = mock_instance
mock_get_spanner_client.return_value = mock_spanner_client
result = metadata_tool.list_table_names(
mock_spanner_ids["project_id"],
mock_spanner_ids["instance_id"],
mock_spanner_ids["database_id"],
mock_credentials,
)
assert result["status"] == "SUCCESS"
assert result["results"] == ["table1"]
@patch("google.adk.tools.spanner.client.get_spanner_client")
def test_list_table_names_error(
mock_get_spanner_client, mock_spanner_ids, mock_credentials
):
"""Test list_table_names function with error."""
mock_get_spanner_client.side_effect = Exception("Test Exception")
result = metadata_tool.list_table_names(
mock_spanner_ids["project_id"],
mock_spanner_ids["instance_id"],
mock_spanner_ids["database_id"],
mock_credentials,
)
assert result["status"] == "ERROR"
assert result["error_details"] == "Test Exception"
@patch("google.adk.tools.spanner.client.get_spanner_client")
def test_get_table_schema_success(
mock_get_spanner_client, mock_spanner_ids, mock_credentials
):
"""Test get_table_schema function with success."""
mock_spanner_client = MagicMock()
mock_instance = MagicMock()
mock_database = MagicMock()
mock_snapshot = MagicMock()
mock_columns_result = [(
"col1", # COLUMN_NAME
"", # TABLE_SCHEMA
"STRING(MAX)", # SPANNER_TYPE
1, # ORDINAL_POSITION
None, # COLUMN_DEFAULT
"NO", # IS_NULLABLE
"NEVER", # IS_GENERATED
None, # GENERATION_EXPRESSION
None, # IS_STORED
)]
mock_key_columns_result = [(
"col1", # COLUMN_NAME
"PK_Table", # CONSTRAINT_NAME
1, # ORDINAL_POSITION
None, # POSITION_IN_UNIQUE_CONSTRAINT
)]
mock_table_metadata_result = [(
"", # TABLE_SCHEMA
"test_table", # TABLE_NAME
"BASE TABLE", # TABLE_TYPE
None, # PARENT_TABLE_NAME
None, # ON_DELETE_ACTION
"COMMITTED", # SPANNER_STATE
None, # INTERLEAVE_TYPE
"OLDER_THAN(CreatedAt, INTERVAL 1 DAY)", # ROW_DELETION_POLICY_EXPRESSION
)]
mock_snapshot.execute_sql.side_effect = [
mock_columns_result,
mock_key_columns_result,
mock_table_metadata_result,
]
mock_database.snapshot.return_value.__enter__.return_value = mock_snapshot
mock_database.database_dialect = DatabaseDialect.GOOGLE_STANDARD_SQL
mock_instance.database.return_value = mock_database
mock_spanner_client.instance.return_value = mock_instance
mock_get_spanner_client.return_value = mock_spanner_client
result = metadata_tool.get_table_schema(
mock_spanner_ids["project_id"],
mock_spanner_ids["instance_id"],
mock_spanner_ids["database_id"],
mock_spanner_ids["table_name"],
mock_credentials,
)
assert result["status"] == "SUCCESS"
assert "col1" in result["results"]["schema"]
assert result["results"]["schema"]["col1"]["SPANNER_TYPE"] == "STRING(MAX)"
assert "KEY_COLUMN_USAGE" in result["results"]["schema"]["col1"]
assert (
result["results"]["schema"]["col1"]["KEY_COLUMN_USAGE"][0][
"CONSTRAINT_NAME"
]
== "PK_Table"
)
assert "metadata" in result["results"]
assert result["results"]["metadata"][0]["TABLE_NAME"] == "test_table"
assert (
result["results"]["metadata"][0]["ROW_DELETION_POLICY_EXPRESSION"]
== "OLDER_THAN(CreatedAt, INTERVAL 1 DAY)"
)
@patch("google.adk.tools.spanner.client.get_spanner_client")
def test_list_table_indexes_success(
mock_get_spanner_client, mock_spanner_ids, mock_credentials
):
"""Test list_table_indexes function with success."""
mock_spanner_client = MagicMock()
mock_instance = MagicMock()
mock_database = MagicMock()
mock_snapshot = MagicMock()
mock_result_set = MagicMock()
mock_result_set.__iter__.return_value = iter([(
"PRIMARY_KEY",
"",
"PRIMARY_KEY",
"",
True,
False,
None,
)])
mock_snapshot.execute_sql.return_value = mock_result_set
mock_database.snapshot.return_value.__enter__.return_value = mock_snapshot
mock_database.database_dialect = DatabaseDialect.GOOGLE_STANDARD_SQL
mock_instance.database.return_value = mock_database
mock_spanner_client.instance.return_value = mock_instance
mock_get_spanner_client.return_value = mock_spanner_client
result = metadata_tool.list_table_indexes(
mock_spanner_ids["project_id"],
mock_spanner_ids["instance_id"],
mock_spanner_ids["database_id"],
mock_spanner_ids["table_name"],
mock_credentials,
)
assert result["status"] == "SUCCESS"
assert len(result["results"]) == 1
assert result["results"][0]["INDEX_NAME"] == "PRIMARY_KEY"
@patch("google.adk.tools.spanner.client.get_spanner_client")
def test_list_table_indexes_circular_row_fallback_to_string(
mock_get_spanner_client, mock_spanner_ids, mock_credentials
):
"""Test list_table_indexes stringifies rows with circular references."""
mock_spanner_client = MagicMock()
mock_instance = MagicMock()
mock_database = MagicMock()
mock_snapshot = MagicMock()
circular_value = []
circular_value.append(circular_value)
mock_result_set = MagicMock()
mock_result_set.__iter__.return_value = iter([(
circular_value,
"",
"PRIMARY_KEY",
"",
True,
False,
None,
)])
mock_snapshot.execute_sql.return_value = mock_result_set
mock_database.snapshot.return_value.__enter__.return_value = mock_snapshot
mock_database.database_dialect = DatabaseDialect.GOOGLE_STANDARD_SQL
mock_instance.database.return_value = mock_database
mock_spanner_client.instance.return_value = mock_instance
mock_get_spanner_client.return_value = mock_spanner_client
result = metadata_tool.list_table_indexes(
mock_spanner_ids["project_id"],
mock_spanner_ids["instance_id"],
mock_spanner_ids["database_id"],
mock_spanner_ids["table_name"],
mock_credentials,
)
assert result["status"] == "SUCCESS"
assert isinstance(result["results"][0], str)
@patch("google.adk.tools.spanner.client.get_spanner_client")
def test_list_table_index_columns_success(
mock_get_spanner_client, mock_spanner_ids, mock_credentials
):
"""Test list_table_index_columns function with success."""
mock_spanner_client = MagicMock()
mock_instance = MagicMock()
mock_database = MagicMock()
mock_snapshot = MagicMock()
mock_result_set = MagicMock()
mock_result_set.__iter__.return_value = iter([(
"PRIMARY_KEY",
"",
"col1",
1,
"NO",
"STRING(MAX)",
)])
mock_snapshot.execute_sql.return_value = mock_result_set
mock_database.snapshot.return_value.__enter__.return_value = mock_snapshot
mock_database.database_dialect = DatabaseDialect.GOOGLE_STANDARD_SQL
mock_instance.database.return_value = mock_database
mock_spanner_client.instance.return_value = mock_instance
mock_get_spanner_client.return_value = mock_spanner_client
result = metadata_tool.list_table_index_columns(
mock_spanner_ids["project_id"],
mock_spanner_ids["instance_id"],
mock_spanner_ids["database_id"],
mock_spanner_ids["table_name"],
mock_credentials,
)
assert result["status"] == "SUCCESS"
assert len(result["results"]) == 1
assert result["results"][0]["COLUMN_NAME"] == "col1"
@patch("google.adk.tools.spanner.client.get_spanner_client")
def test_list_named_schemas_success(
mock_get_spanner_client, mock_spanner_ids, mock_credentials
):
"""Test list_named_schemas function with success."""
mock_spanner_client = MagicMock()
mock_instance = MagicMock()
mock_database = MagicMock()
mock_snapshot = MagicMock()
mock_result_set = MagicMock()
mock_result_set.__iter__.return_value = iter([("schema1",), ("schema2",)])
mock_snapshot.execute_sql.return_value = mock_result_set
mock_database.snapshot.return_value.__enter__.return_value = mock_snapshot
mock_database.database_dialect = DatabaseDialect.GOOGLE_STANDARD_SQL
mock_instance.database.return_value = mock_database
mock_spanner_client.instance.return_value = mock_instance
mock_get_spanner_client.return_value = mock_spanner_client
result = metadata_tool.list_named_schemas(
mock_spanner_ids["project_id"],
mock_spanner_ids["instance_id"],
mock_spanner_ids["database_id"],
mock_credentials,
)
assert result["status"] == "SUCCESS"
assert result["results"] == ["schema1", "schema2"]