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

269 lines
8.7 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.
"""E2E Integration Test for GCP Agent Identity Auth Provider two-legged OAuth Flow."""
import dataclasses
from typing import Any
from unittest import mock
from google.adk import Agent
from google.adk import Runner
from google.adk.auth.auth_tool import AuthConfig
from google.adk.auth.credential_manager import CredentialManager
from google.adk.integrations.agent_identity import _iam_connector_credentials_provider
from google.adk.integrations.agent_identity import GcpAuthProvider
from google.adk.integrations.agent_identity import GcpAuthProviderScheme
from google.adk.sessions.in_memory_session_service import InMemorySessionService
from google.adk.tools.base_authenticated_tool import BaseAuthenticatedTool
from google.adk.tools.mcp_tool.mcp_tool import McpTool
from google.cloud.iamconnectorcredentials_v1alpha import RetrieveCredentialsRequest
from google.cloud.iamconnectorcredentials_v1alpha import RetrieveCredentialsResponse
from google.genai import types
from mcp.types import Tool as McpBaseTool
import pytest
from tests.unittests import testing_utils
DUMMY_TOKEN = "fake-gcp-2lo-token-123"
TEST_CONNECTOR_2LO = (
"projects/test-project/locations/global/connectors/test-connector"
)
class DummyTool(BaseAuthenticatedTool):
def __init__(self, auth_config: AuthConfig) -> None:
super().__init__(
name="dummy_tool",
description="Dummy tool for testing 2LO.",
auth_config=auth_config,
)
def _get_declaration(self) -> types.FunctionDeclaration:
return types.FunctionDeclaration(
name=self.name,
description=self.description,
parameters=types.Schema(
type="OBJECT",
properties={},
),
)
async def _run_async_impl(
self, *, args: dict[str, Any] | None, tool_context: Any, credential: Any
) -> Any:
# Return the token to prove the provider gave the expected credential
if credential.http and credential.http.credentials:
return credential.http.credentials.token
if credential.oauth2 and credential.oauth2.access_token:
return credential.oauth2.access_token
return None
@dataclasses.dataclass
class _DummyOperation:
done: bool = True
error: Any = None
metadata: Any = None
response: Any = dataclasses.field(init=False)
operation: Any = dataclasses.field(init=False)
def __post_init__(self) -> None:
self.response = mock.Mock()
mock_credential = RetrieveCredentialsResponse(
header="Authorization: Bearer", token=DUMMY_TOKEN
)
self.response.value = RetrieveCredentialsResponse.serialize(mock_credential)
self.operation = self
def HasField(self, field_name: str) -> bool:
return getattr(self, field_name, None) is not None
# Mocked execution; pin to a single LLM backend to avoid duplicate runs.
@pytest.mark.parametrize("llm_backend", ["GOOGLE_AI"], indirect=True)
@pytest.mark.asyncio
async def test_gcp_agent_identity_2lo_gets_token() -> None:
"""Test the end-to-end flow fetching 2LO OAuth token from GCP Agent Identity credentials service."""
# Clear registry to isolate tests
CredentialManager._auth_provider_registry._providers.clear()
# 1. Setup mocked GCP Client to return the fake Bearer token
with mock.patch.object(
_iam_connector_credentials_provider,
"Client",
autospec=True,
) as mock_client_cls:
mock_operation = _DummyOperation()
mock_client_cls.return_value.retrieve_credentials.return_value = (
mock_operation
)
# 2. Configure Auth and DummyTool
auth_scheme = GcpAuthProviderScheme(
name=TEST_CONNECTOR_2LO,
scopes=["test-scope"],
)
auth_config = AuthConfig(auth_scheme=auth_scheme)
dummy_tool = DummyTool(auth_config=auth_config)
# 3. Setup LLM, Agent, and Runner
# We mock the LLM to just issue the tool call to 'dummy_tool'
mock_model = testing_utils.MockModel.create(
responses=[
types.Part.from_function_call(name="dummy_tool", args={}),
"Tool executed successfully.",
]
)
agent = Agent(
name="test_agent",
model=mock_model,
instruction="You are an agent. Use the dummy_tool when needed.",
tools=[dummy_tool],
)
runner = Runner(
app_name="test_mcp_2lo_app",
agent=agent,
session_service=InMemorySessionService(),
auto_create_session=True,
)
# 4. Register Auth Provider
CredentialManager.register_auth_provider(GcpAuthProvider())
# 5. Execute Flow
event_list = []
async for event in runner.run_async(
user_id="test_user",
session_id="test_session1",
new_message=types.UserContent(
parts=[types.Part(text="Get me the token.")]
),
):
event_list.append(event)
# 6. Assertions
# Assert GCP Agent Identity client was invoked for credentials
expected_request = RetrieveCredentialsRequest(
connector=TEST_CONNECTOR_2LO,
user_id="test_user",
scopes=["test-scope"],
continue_uri="",
force_refresh=False,
)
mock_client_cls.return_value.retrieve_credentials.assert_called_once_with(
expected_request
)
# 3 Events: Model FunctionCall -> Tool FunctionResponse -> Final LLM Text
assert len(event_list) == 3
last_event = event_list[-1]
assert last_event.content.parts[0].text == "Tool executed successfully."
# Validate that the mock model received the query and the tool callback
requests = mock_model.requests
# 2 Events: User Input -> Tool FunctionResponse
assert len(requests) == 2
# Extract the function response from the prompt payload sent to the LLM
last_request = requests[-1]
function_response = next(
(
p.function_response
for p in last_request.contents[-1].parts
if p.function_response
),
None,
)
assert function_response.name == "dummy_tool"
assert DUMMY_TOKEN in str(function_response.response)
@pytest.mark.parametrize("llm_backend", ["GOOGLE_AI"], indirect=True)
@pytest.mark.asyncio
async def test_gcp_agent_identity_2lo_sends_authorization_header_to_mcp_session(
llm_backend: Any,
) -> None:
"""Ensures a 2LO token from GCP is correctly passed into the outbound MCP session headers."""
CredentialManager._auth_provider_registry._providers.clear()
CredentialManager.register_auth_provider(GcpAuthProvider())
mock_operation = _DummyOperation()
with mock.patch.object(
_iam_connector_credentials_provider, "Client", autospec=True
) as mock_gcp:
mock_gcp.return_value.retrieve_credentials.return_value = mock_operation
mock_session_mgr = mock.AsyncMock()
mock_session_mgr.create_session.return_value.call_tool.return_value = (
mock.MagicMock()
)
mcp_tool = McpTool(
mcp_tool=McpBaseTool(
name="dummy_mcp",
description="Dummy MCP tool for testing.",
inputSchema={"type": "object", "properties": {}},
),
mcp_session_manager=mock_session_mgr,
auth_scheme=GcpAuthProviderScheme(
name=TEST_CONNECTOR_2LO, scopes=["test-scope"]
),
)
agent = Agent(
name="test_agent",
model=testing_utils.MockModel.create(
responses=[
types.Part.from_function_call(name="dummy_mcp", args={}),
"Tool executed successfully.",
]
),
instruction="Use dummy_mcp tool.",
tools=[mcp_tool],
)
async for _ in Runner(
app_name="test_mcp_header_app",
agent=agent,
session_service=InMemorySessionService(),
auto_create_session=True,
).run_async(
user_id="test_user",
session_id="session-id-2",
new_message=types.UserContent(parts=[types.Part(text="Run tool.")]),
):
pass
mock_gcp.return_value.retrieve_credentials.assert_called_once_with(
RetrieveCredentialsRequest(
connector=TEST_CONNECTOR_2LO,
user_id="test_user",
scopes=["test-scope"],
force_refresh=False,
)
)
assert mock_session_mgr.create_session.call_args.kwargs.get("headers") == {
"Authorization": f"Bearer {DUMMY_TOKEN}"
}