mirror of
https://github.com/encounter/adk-python.git
synced 2026-07-09 18:19:28 -07:00
feat: set per-tool user agent in BQ calls and tool label in BQ jobs
This will help per tool usage for BigQuery tools. PiperOrigin-RevId: 829142106
This commit is contained in:
committed by
Copybara-Service
parent
f1f44675e4
commit
c0be1df052
@@ -156,6 +156,31 @@ def test_bigquery_client_user_agent_custom():
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assert expected_user_agents.issubset(actual_user_agents)
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def test_bigquery_client_user_agent_custom_list():
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"""Test BigQuery client custom user agent."""
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with mock.patch(
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"google.cloud.bigquery.client.Connection", autospec=True
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) as mock_connection:
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# Trigger the BigQuery client creation
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get_bigquery_client(
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project="test-gcp-project",
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credentials=mock.create_autospec(Credentials, instance=True),
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user_agent=["custom_user_agent1", "custom_user_agent2"],
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)
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# Verify that the tracking user agents were set
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client_info_arg = mock_connection.call_args[1].get("client_info")
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assert client_info_arg is not None
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expected_user_agents = {
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"adk-bigquery-tool",
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f"google-adk/{google.adk.__version__}",
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"custom_user_agent1",
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"custom_user_agent2",
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}
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actual_user_agents = set(client_info_arg.user_agent.split())
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assert expected_user_agents.issubset(actual_user_agents)
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def test_bigquery_client_location_custom():
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"""Test BigQuery client custom location."""
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# Trigger the BigQuery client creation
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@@ -183,10 +183,10 @@ def test_list_dataset_ids_bq_client_creation(mock_get_bigquery_client):
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assert (
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mock_get_bigquery_client.call_args.kwargs["credentials"] == bq_credentials
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)
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assert (
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mock_get_bigquery_client.call_args.kwargs["user_agent"]
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== application_name
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)
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assert mock_get_bigquery_client.call_args.kwargs["user_agent"] == [
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application_name,
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"list_dataset_ids",
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]
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@mock.patch(
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@@ -209,10 +209,10 @@ def test_get_dataset_info_bq_client_creation(mock_get_bigquery_client):
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assert (
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mock_get_bigquery_client.call_args.kwargs["credentials"] == bq_credentials
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)
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assert (
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mock_get_bigquery_client.call_args.kwargs["user_agent"]
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== application_name
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)
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assert mock_get_bigquery_client.call_args.kwargs["user_agent"] == [
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application_name,
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"get_dataset_info",
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]
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@mock.patch(
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@@ -235,10 +235,10 @@ def test_list_table_ids_bq_client_creation(mock_get_bigquery_client):
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assert (
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mock_get_bigquery_client.call_args.kwargs["credentials"] == bq_credentials
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)
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assert (
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mock_get_bigquery_client.call_args.kwargs["user_agent"]
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== application_name
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)
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assert mock_get_bigquery_client.call_args.kwargs["user_agent"] == [
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application_name,
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"list_table_ids",
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]
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@mock.patch(
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@@ -262,7 +262,33 @@ def test_get_table_info_bq_client_creation(mock_get_bigquery_client):
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assert (
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mock_get_bigquery_client.call_args.kwargs["credentials"] == bq_credentials
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)
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assert (
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mock_get_bigquery_client.call_args.kwargs["user_agent"]
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== application_name
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assert mock_get_bigquery_client.call_args.kwargs["user_agent"] == [
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application_name,
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"get_table_info",
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]
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@mock.patch(
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"google.adk.tools.bigquery.client.get_bigquery_client", autospec=True
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)
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def test_get_job_info_bq_client_creation(mock_get_bigquery_client):
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"""Test BigQuery client creation params during get_table_info tool invocation."""
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bq_project = "my_project_id"
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bq_job_id = "my_job_id"
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bq_credentials = mock.create_autospec(Credentials, instance=True)
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application_name = "my-agent"
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tool_settings = BigQueryToolConfig(application_name=application_name)
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metadata_tool.get_job_info(
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bq_project, bq_job_id, bq_credentials, tool_settings
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)
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mock_get_bigquery_client.assert_called_once()
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assert len(mock_get_bigquery_client.call_args.kwargs) == 4
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assert mock_get_bigquery_client.call_args.kwargs["project"] == bq_project
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assert (
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mock_get_bigquery_client.call_args.kwargs["credentials"] == bq_credentials
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)
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assert mock_get_bigquery_client.call_args.kwargs["user_agent"] == [
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application_name,
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"get_job_info",
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]
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@@ -1149,10 +1149,10 @@ def test_execute_sql_bq_client_creation(mock_get_bigquery_client):
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assert len(mock_get_bigquery_client.call_args.kwargs) == 4
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assert mock_get_bigquery_client.call_args.kwargs["project"] == project
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assert mock_get_bigquery_client.call_args.kwargs["credentials"] == credentials
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assert (
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mock_get_bigquery_client.call_args.kwargs["user_agent"]
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== application_name
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)
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assert mock_get_bigquery_client.call_args.kwargs["user_agent"] == [
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application_name,
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"execute_sql",
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]
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def test_execute_sql_unexpected_project_id():
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@@ -1177,10 +1177,10 @@ def test_execute_sql_unexpected_project_id():
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}
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# AI.Forecast calls execute_sql with a specific query statement. We need to
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# test that the query is properly constructed and call execute_sql with the
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# AI.Forecast calls _execute_sql with a specific query statement. We need to
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# test that the query is properly constructed and call _execute_sql with the
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# correct parameters exactly once.
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@mock.patch("google.adk.tools.bigquery.query_tool.execute_sql", autospec=True)
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@mock.patch("google.adk.tools.bigquery.query_tool._execute_sql", autospec=True)
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def test_forecast_with_table_id(mock_execute_sql):
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mock_credentials = mock.MagicMock(spec=Credentials)
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mock_settings = BigQueryToolConfig()
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@@ -1210,18 +1210,19 @@ def test_forecast_with_table_id(mock_execute_sql):
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)
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"""
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mock_execute_sql.assert_called_once_with(
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"test-project",
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expected_query,
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mock_credentials,
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mock_settings,
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mock_tool_context,
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project_id="test-project",
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query=expected_query,
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credentials=mock_credentials,
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settings=mock_settings,
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tool_context=mock_tool_context,
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caller_id="forecast",
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)
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# AI.Forecast calls execute_sql with a specific query statement. We need to
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# test that the query is properly constructed and call execute_sql with the
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# AI.Forecast calls _execute_sql with a specific query statement. We need to
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# test that the query is properly constructed and call _execute_sql with the
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# correct parameters exactly once.
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@mock.patch("google.adk.tools.bigquery.query_tool.execute_sql", autospec=True)
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@mock.patch("google.adk.tools.bigquery.query_tool._execute_sql", autospec=True)
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def test_forecast_with_query_statement(mock_execute_sql):
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mock_credentials = mock.MagicMock(spec=Credentials)
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mock_settings = BigQueryToolConfig()
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@@ -1249,11 +1250,12 @@ def test_forecast_with_query_statement(mock_execute_sql):
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)
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"""
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mock_execute_sql.assert_called_once_with(
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"test-project",
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expected_query,
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mock_credentials,
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mock_settings,
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mock_tool_context,
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project_id="test-project",
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query=expected_query,
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credentials=mock_credentials,
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settings=mock_settings,
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tool_context=mock_tool_context,
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caller_id="forecast",
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)
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@@ -1277,10 +1279,10 @@ def test_forecast_with_invalid_id_cols():
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assert "All elements in id_cols must be strings." in result["error_details"]
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# analyze_contribution calls execute_sql twice. We need to test that the
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# queries are properly constructed and call execute_sql with the correct
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# analyze_contribution calls _execute_sql twice. We need to test that the
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# queries are properly constructed and call _execute_sql with the correct
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# parameters exactly twice.
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@mock.patch("google.adk.tools.bigquery.query_tool.execute_sql", autospec=True)
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@mock.patch("google.adk.tools.bigquery.query_tool._execute_sql", autospec=True)
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@mock.patch("uuid.uuid4", autospec=True)
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def test_analyze_contribution_with_table_id(mock_uuid, mock_execute_sql):
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"""Test analyze_contribution tool invocation with a table id."""
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@@ -1313,25 +1315,27 @@ def test_analyze_contribution_with_table_id(mock_uuid, mock_execute_sql):
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assert mock_execute_sql.call_count == 2
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mock_execute_sql.assert_any_call(
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"test-project",
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expected_create_model_query,
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mock_credentials,
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mock_settings,
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mock_tool_context,
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project_id="test-project",
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query=expected_create_model_query,
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credentials=mock_credentials,
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settings=mock_settings,
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tool_context=mock_tool_context,
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caller_id="analyze_contribution",
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)
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mock_execute_sql.assert_any_call(
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"test-project",
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expected_get_insights_query,
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mock_credentials,
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mock_settings,
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mock_tool_context,
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project_id="test-project",
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query=expected_get_insights_query,
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credentials=mock_credentials,
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settings=mock_settings,
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tool_context=mock_tool_context,
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caller_id="analyze_contribution",
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)
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# analyze_contribution calls execute_sql twice. We need to test that the
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# queries are properly constructed and call execute_sql with the correct
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# analyze_contribution calls _execute_sql twice. We need to test that the
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# queries are properly constructed and call _execute_sql with the correct
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# parameters exactly twice.
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@mock.patch("google.adk.tools.bigquery.query_tool.execute_sql", autospec=True)
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@mock.patch("google.adk.tools.bigquery.query_tool._execute_sql", autospec=True)
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@mock.patch("uuid.uuid4", autospec=True)
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def test_analyze_contribution_with_query_statement(mock_uuid, mock_execute_sql):
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"""Test analyze_contribution tool invocation with a query statement."""
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@@ -1365,18 +1369,20 @@ def test_analyze_contribution_with_query_statement(mock_uuid, mock_execute_sql):
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assert mock_execute_sql.call_count == 2
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mock_execute_sql.assert_any_call(
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"test-project",
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expected_create_model_query,
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mock_credentials,
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mock_settings,
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mock_tool_context,
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project_id="test-project",
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query=expected_create_model_query,
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credentials=mock_credentials,
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settings=mock_settings,
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tool_context=mock_tool_context,
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caller_id="analyze_contribution",
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)
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mock_execute_sql.assert_any_call(
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"test-project",
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expected_get_insights_query,
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mock_credentials,
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mock_settings,
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mock_tool_context,
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project_id="test-project",
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query=expected_get_insights_query,
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credentials=mock_credentials,
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settings=mock_settings,
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tool_context=mock_tool_context,
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caller_id="analyze_contribution",
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)
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@@ -1404,10 +1410,10 @@ def test_analyze_contribution_with_invalid_dimension_id_cols():
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)
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# detect_anomalies calls execute_sql twice. We need to test that
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# the queries are properly constructed and call execute_sql with the correct
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# detect_anomalies calls _execute_sql twice. We need to test that
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# the queries are properly constructed and call _execute_sql with the correct
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# parameters exactly twice.
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@mock.patch("google.adk.tools.bigquery.query_tool.execute_sql", autospec=True)
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@mock.patch("google.adk.tools.bigquery.query_tool._execute_sql", autospec=True)
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@mock.patch("uuid.uuid4", autospec=True)
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def test_detect_anomalies_with_table_id(mock_uuid, mock_execute_sql):
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"""Test time series anomaly detection tool invocation with a table id."""
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@@ -1440,25 +1446,27 @@ def test_detect_anomalies_with_table_id(mock_uuid, mock_execute_sql):
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assert mock_execute_sql.call_count == 2
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mock_execute_sql.assert_any_call(
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"test-project",
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expected_create_model_query,
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mock_credentials,
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mock_settings,
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mock_tool_context,
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project_id="test-project",
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query=expected_create_model_query,
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credentials=mock_credentials,
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settings=mock_settings,
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tool_context=mock_tool_context,
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caller_id="detect_anomalies",
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)
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mock_execute_sql.assert_any_call(
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"test-project",
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expected_anomaly_detection_query,
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mock_credentials,
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mock_settings,
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mock_tool_context,
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project_id="test-project",
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query=expected_anomaly_detection_query,
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credentials=mock_credentials,
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settings=mock_settings,
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tool_context=mock_tool_context,
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caller_id="detect_anomalies",
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)
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# detect_anomalies calls execute_sql twice. We need to test that
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# the queries are properly constructed and call execute_sql with the correct
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# detect_anomalies calls _execute_sql twice. We need to test that
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# the queries are properly constructed and call _execute_sql with the correct
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# parameters exactly twice.
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@mock.patch("google.adk.tools.bigquery.query_tool.execute_sql", autospec=True)
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@mock.patch("google.adk.tools.bigquery.query_tool._execute_sql", autospec=True)
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@mock.patch("uuid.uuid4", autospec=True)
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def test_detect_anomalies_with_custom_params(mock_uuid, mock_execute_sql):
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"""Test time series anomaly detection tool invocation with a table id."""
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@@ -1494,25 +1502,27 @@ def test_detect_anomalies_with_custom_params(mock_uuid, mock_execute_sql):
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assert mock_execute_sql.call_count == 2
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mock_execute_sql.assert_any_call(
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"test-project",
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expected_create_model_query,
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mock_credentials,
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mock_settings,
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mock_tool_context,
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project_id="test-project",
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query=expected_create_model_query,
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credentials=mock_credentials,
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settings=mock_settings,
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tool_context=mock_tool_context,
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caller_id="detect_anomalies",
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)
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mock_execute_sql.assert_any_call(
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"test-project",
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expected_anomaly_detection_query,
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mock_credentials,
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mock_settings,
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mock_tool_context,
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project_id="test-project",
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query=expected_anomaly_detection_query,
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credentials=mock_credentials,
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settings=mock_settings,
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tool_context=mock_tool_context,
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caller_id="detect_anomalies",
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)
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# detect_anomalies calls execute_sql twice. We need to test that
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# the queries are properly constructed and call execute_sql with the correct
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# detect_anomalies calls _execute_sql twice. We need to test that
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# the queries are properly constructed and call _execute_sql with the correct
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# parameters exactly twice.
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@mock.patch("google.adk.tools.bigquery.query_tool.execute_sql", autospec=True)
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@mock.patch("google.adk.tools.bigquery.query_tool._execute_sql", autospec=True)
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@mock.patch("uuid.uuid4", autospec=True)
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def test_detect_anomalies_on_target_table(mock_uuid, mock_execute_sql):
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"""Test time series anomaly detection tool with target data is provided."""
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@@ -1550,22 +1560,24 @@ def test_detect_anomalies_on_target_table(mock_uuid, mock_execute_sql):
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assert mock_execute_sql.call_count == 2
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mock_execute_sql.assert_any_call(
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"test-project",
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expected_create_model_query,
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mock_credentials,
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mock_settings,
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mock_tool_context,
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project_id="test-project",
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query=expected_create_model_query,
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credentials=mock_credentials,
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settings=mock_settings,
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tool_context=mock_tool_context,
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caller_id="detect_anomalies",
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)
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mock_execute_sql.assert_any_call(
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"test-project",
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expected_anomaly_detection_query,
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mock_credentials,
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mock_settings,
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mock_tool_context,
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project_id="test-project",
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query=expected_anomaly_detection_query,
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credentials=mock_credentials,
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settings=mock_settings,
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tool_context=mock_tool_context,
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caller_id="detect_anomalies",
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)
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def test_detect_anomalies__with_invalid_id_cols():
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def test_detect_anomalies_with_invalid_id_cols():
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"""Test time series anomaly detection tool invocation with invalid times_series_id_cols."""
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mock_credentials = mock.MagicMock(spec=Credentials)
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mock_settings = BigQueryToolConfig()
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@@ -1587,3 +1599,123 @@ def test_detect_anomalies__with_invalid_id_cols():
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"All elements in times_series_id_cols must be strings."
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in result["error_details"]
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)
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@pytest.mark.parametrize(
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("write_mode", "dry_run", "query_call_count", "query_and_wait_call_count"),
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[
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pytest.param(WriteMode.ALLOWED, False, 0, 1, id="write-allowed"),
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pytest.param(WriteMode.ALLOWED, True, 1, 0, id="write-allowed-dry-run"),
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pytest.param(WriteMode.BLOCKED, False, 1, 1, id="write-blocked"),
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pytest.param(WriteMode.BLOCKED, True, 2, 0, id="write-blocked-dry-run"),
|
||||
pytest.param(WriteMode.PROTECTED, False, 2, 1, id="write-protected"),
|
||||
pytest.param(
|
||||
WriteMode.PROTECTED, True, 3, 0, id="write-protected-dry-run"
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_execute_sql_job_labels(
|
||||
write_mode, dry_run, query_call_count, query_and_wait_call_count
|
||||
):
|
||||
"""Test execute_sql tool for job label."""
|
||||
project = "my_project"
|
||||
query = "SELECT 123 AS num"
|
||||
statement_type = "SELECT"
|
||||
credentials = mock.create_autospec(Credentials, instance=True)
|
||||
tool_settings = BigQueryToolConfig(write_mode=write_mode)
|
||||
tool_context = mock.create_autospec(ToolContext, instance=True)
|
||||
tool_context.state.get.return_value = None
|
||||
|
||||
with mock.patch("google.cloud.bigquery.Client", autospec=False) as Client:
|
||||
bq_client = Client.return_value
|
||||
|
||||
query_job = mock.create_autospec(bigquery.QueryJob)
|
||||
query_job.statement_type = statement_type
|
||||
bq_client.query.return_value = query_job
|
||||
|
||||
execute_sql(
|
||||
project,
|
||||
query,
|
||||
credentials,
|
||||
tool_settings,
|
||||
tool_context,
|
||||
dry_run=dry_run,
|
||||
)
|
||||
|
||||
assert bq_client.query.call_count == query_call_count
|
||||
assert bq_client.query_and_wait.call_count == query_and_wait_call_count
|
||||
for call_args_list in [
|
||||
bq_client.query.call_args_list,
|
||||
bq_client.query_and_wait.call_args_list,
|
||||
]:
|
||||
for call_args in call_args_list:
|
||||
_, mock_kwargs = call_args
|
||||
assert mock_kwargs["job_config"].labels == {
|
||||
"adk-bigquery-tool": "execute_sql"
|
||||
}
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("tool_call", "expected_label"),
|
||||
[
|
||||
pytest.param(
|
||||
lambda tool_context: forecast(
|
||||
project_id="test-project",
|
||||
history_data="SELECT * FROM `test-dataset.test-table`",
|
||||
timestamp_col="ts_col",
|
||||
data_col="data_col",
|
||||
credentials=mock.create_autospec(Credentials, instance=True),
|
||||
settings=BigQueryToolConfig(write_mode=WriteMode.ALLOWED),
|
||||
tool_context=tool_context,
|
||||
),
|
||||
"forecast",
|
||||
id="forecast",
|
||||
),
|
||||
pytest.param(
|
||||
lambda tool_context: analyze_contribution(
|
||||
project_id="test-project",
|
||||
input_data="test-dataset.test-table",
|
||||
dimension_id_cols=["dim1", "dim2"],
|
||||
contribution_metric="SUM(metric)",
|
||||
is_test_col="is_test",
|
||||
credentials=mock.create_autospec(Credentials, instance=True),
|
||||
settings=BigQueryToolConfig(write_mode=WriteMode.ALLOWED),
|
||||
tool_context=tool_context,
|
||||
),
|
||||
"analyze_contribution",
|
||||
id="analyze-contribution",
|
||||
),
|
||||
pytest.param(
|
||||
lambda tool_context: detect_anomalies(
|
||||
project_id="test-project",
|
||||
history_data="SELECT * FROM `test-dataset.test-table`",
|
||||
times_series_timestamp_col="ts_timestamp",
|
||||
times_series_data_col="ts_data",
|
||||
credentials=mock.create_autospec(Credentials, instance=True),
|
||||
settings=BigQueryToolConfig(write_mode=WriteMode.ALLOWED),
|
||||
tool_context=tool_context,
|
||||
),
|
||||
"detect_anomalies",
|
||||
id="detect-anomalies",
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_ml_tool_job_labels(tool_call, expected_label):
|
||||
"""Test ML tools for job label."""
|
||||
|
||||
with mock.patch("google.cloud.bigquery.Client", autospec=False) as Client:
|
||||
bq_client = Client.return_value
|
||||
|
||||
tool_context = mock.create_autospec(ToolContext, instance=True)
|
||||
tool_context.state.get.return_value = None
|
||||
tool_call(tool_context)
|
||||
|
||||
for call_args_list in [
|
||||
bq_client.query.call_args_list,
|
||||
bq_client.query_and_wait.call_args_list,
|
||||
]:
|
||||
for call_args in call_args_list:
|
||||
_, mock_kwargs = call_args
|
||||
assert mock_kwargs["job_config"].labels == {
|
||||
"adk-bigquery-tool": expected_label
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user