Moves unittests to root folder and adds github action to run unit tests. (#72)

* Move unit tests to root package.

* Adds deps to "test" extra, and mark two broken tests in tests/unittests/auth/test_auth_handler.py

* Adds github workflow

* minor fix in lite_llm.py for python 3.9.

* format pyproject.toml
This commit is contained in:
Jack Sun
2025-04-11 08:25:59 -07:00
committed by GitHub
parent 59117b9b96
commit 05142a07cc
66 changed files with 50 additions and 2 deletions

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# Copyright 2025 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.

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# Copyright 2025 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.

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# Copyright 2025 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.
"""Testings for the BaseAgent."""
from typing import AsyncGenerator
from typing import Optional
from typing import Union
from google.adk.agents.base_agent import BaseAgent
from google.adk.agents.callback_context import CallbackContext
from google.adk.agents.invocation_context import InvocationContext
from google.adk.events import Event
from google.adk.sessions.in_memory_session_service import InMemorySessionService
from google.genai import types
import pytest
import pytest_mock
from typing_extensions import override
def _before_agent_callback_noop(callback_context: CallbackContext) -> None:
pass
def _before_agent_callback_bypass_agent(
callback_context: CallbackContext,
) -> types.Content:
return types.Content(parts=[types.Part(text='agent run is bypassed.')])
def _after_agent_callback_noop(callback_context: CallbackContext) -> None:
pass
def _after_agent_callback_append_agent_reply(
callback_context: CallbackContext,
) -> types.Content:
return types.Content(
parts=[types.Part(text='Agent reply from after agent callback.')]
)
class _IncompleteAgent(BaseAgent):
pass
class _TestingAgent(BaseAgent):
@override
async def _run_async_impl(
self, ctx: InvocationContext
) -> AsyncGenerator[Event, None]:
yield Event(
author=self.name,
branch=ctx.branch,
invocation_id=ctx.invocation_id,
content=types.Content(parts=[types.Part(text='Hello, world!')]),
)
@override
async def _run_live_impl(
self, ctx: InvocationContext
) -> AsyncGenerator[Event, None]:
yield Event(
author=self.name,
invocation_id=ctx.invocation_id,
branch=ctx.branch,
content=types.Content(parts=[types.Part(text='Hello, live!')]),
)
def _create_parent_invocation_context(
test_name: str, agent: BaseAgent, branch: Optional[str] = None
) -> InvocationContext:
session_service = InMemorySessionService()
session = session_service.create_session(
app_name='test_app', user_id='test_user'
)
return InvocationContext(
invocation_id=f'{test_name}_invocation_id',
branch=branch,
agent=agent,
session=session,
session_service=session_service,
)
def test_invalid_agent_name():
with pytest.raises(ValueError):
_ = _TestingAgent(name='not an identifier')
@pytest.mark.asyncio
async def test_run_async(request: pytest.FixtureRequest):
agent = _TestingAgent(name=f'{request.function.__name__}_test_agent')
parent_ctx = _create_parent_invocation_context(
request.function.__name__, agent
)
events = [e async for e in agent.run_async(parent_ctx)]
assert len(events) == 1
assert events[0].author == agent.name
assert events[0].content.parts[0].text == 'Hello, world!'
@pytest.mark.asyncio
async def test_run_async_with_branch(request: pytest.FixtureRequest):
agent = _TestingAgent(name=f'{request.function.__name__}_test_agent')
parent_ctx = _create_parent_invocation_context(
request.function.__name__, agent, branch='parent_branch'
)
events = [e async for e in agent.run_async(parent_ctx)]
assert len(events) == 1
assert events[0].author == agent.name
assert events[0].content.parts[0].text == 'Hello, world!'
assert events[0].branch.endswith(agent.name)
@pytest.mark.asyncio
async def test_run_async_before_agent_callback_noop(
request: pytest.FixtureRequest,
mocker: pytest_mock.MockerFixture,
) -> Union[types.Content, None]:
# Arrange
agent = _TestingAgent(
name=f'{request.function.__name__}_test_agent',
before_agent_callback=_before_agent_callback_noop,
)
parent_ctx = _create_parent_invocation_context(
request.function.__name__, agent
)
spy_run_async_impl = mocker.spy(agent, BaseAgent._run_async_impl.__name__)
spy_before_agent_callback = mocker.spy(agent, 'before_agent_callback')
# Act
_ = [e async for e in agent.run_async(parent_ctx)]
# Assert
spy_before_agent_callback.assert_called_once()
_, kwargs = spy_before_agent_callback.call_args
assert 'callback_context' in kwargs
assert isinstance(kwargs['callback_context'], CallbackContext)
spy_run_async_impl.assert_called_once()
@pytest.mark.asyncio
async def test_run_async_before_agent_callback_bypass_agent(
request: pytest.FixtureRequest,
mocker: pytest_mock.MockerFixture,
):
# Arrange
agent = _TestingAgent(
name=f'{request.function.__name__}_test_agent',
before_agent_callback=_before_agent_callback_bypass_agent,
)
parent_ctx = _create_parent_invocation_context(
request.function.__name__, agent
)
spy_run_async_impl = mocker.spy(agent, BaseAgent._run_async_impl.__name__)
spy_before_agent_callback = mocker.spy(agent, 'before_agent_callback')
# Act
events = [e async for e in agent.run_async(parent_ctx)]
# Assert
spy_before_agent_callback.assert_called_once()
spy_run_async_impl.assert_not_called()
assert len(events) == 1
assert events[0].content.parts[0].text == 'agent run is bypassed.'
@pytest.mark.asyncio
async def test_run_async_after_agent_callback_noop(
request: pytest.FixtureRequest,
mocker: pytest_mock.MockerFixture,
):
# Arrange
agent = _TestingAgent(
name=f'{request.function.__name__}_test_agent',
after_agent_callback=_after_agent_callback_noop,
)
parent_ctx = _create_parent_invocation_context(
request.function.__name__, agent
)
spy_after_agent_callback = mocker.spy(agent, 'after_agent_callback')
# Act
events = [e async for e in agent.run_async(parent_ctx)]
# Assert
spy_after_agent_callback.assert_called_once()
_, kwargs = spy_after_agent_callback.call_args
assert 'callback_context' in kwargs
assert isinstance(kwargs['callback_context'], CallbackContext)
assert len(events) == 1
@pytest.mark.asyncio
async def test_run_async_after_agent_callback_append_reply(
request: pytest.FixtureRequest,
):
# Arrange
agent = _TestingAgent(
name=f'{request.function.__name__}_test_agent',
after_agent_callback=_after_agent_callback_append_agent_reply,
)
parent_ctx = _create_parent_invocation_context(
request.function.__name__, agent
)
# Act
events = [e async for e in agent.run_async(parent_ctx)]
# Assert
assert len(events) == 2
assert events[1].author == agent.name
assert (
events[1].content.parts[0].text
== 'Agent reply from after agent callback.'
)
@pytest.mark.asyncio
async def test_run_async_incomplete_agent(request: pytest.FixtureRequest):
agent = _IncompleteAgent(name=f'{request.function.__name__}_test_agent')
parent_ctx = _create_parent_invocation_context(
request.function.__name__, agent
)
with pytest.raises(NotImplementedError):
[e async for e in agent.run_async(parent_ctx)]
@pytest.mark.asyncio
async def test_run_live(request: pytest.FixtureRequest):
agent = _TestingAgent(name=f'{request.function.__name__}_test_agent')
parent_ctx = _create_parent_invocation_context(
request.function.__name__, agent
)
events = [e async for e in agent.run_live(parent_ctx)]
assert len(events) == 1
assert events[0].author == agent.name
assert events[0].content.parts[0].text == 'Hello, live!'
@pytest.mark.asyncio
async def test_run_live_with_branch(request: pytest.FixtureRequest):
agent = _TestingAgent(name=f'{request.function.__name__}_test_agent')
parent_ctx = _create_parent_invocation_context(
request.function.__name__, agent, branch='parent_branch'
)
events = [e async for e in agent.run_live(parent_ctx)]
assert len(events) == 1
assert events[0].author == agent.name
assert events[0].content.parts[0].text == 'Hello, live!'
assert events[0].branch.endswith(agent.name)
@pytest.mark.asyncio
async def test_run_live_incomplete_agent(request: pytest.FixtureRequest):
agent = _IncompleteAgent(name=f'{request.function.__name__}_test_agent')
parent_ctx = _create_parent_invocation_context(
request.function.__name__, agent
)
with pytest.raises(NotImplementedError):
[e async for e in agent.run_live(parent_ctx)]
def test_set_parent_agent_for_sub_agents(request: pytest.FixtureRequest):
sub_agents: list[BaseAgent] = [
_TestingAgent(name=f'{request.function.__name__}_sub_agent_1'),
_TestingAgent(name=f'{request.function.__name__}_sub_agent_2'),
]
parent = _TestingAgent(
name=f'{request.function.__name__}_parent',
sub_agents=sub_agents,
)
for sub_agent in sub_agents:
assert sub_agent.parent_agent == parent
def test_find_agent(request: pytest.FixtureRequest):
grand_sub_agent_1 = _TestingAgent(
name=f'{request.function.__name__}__grand_sub_agent_1'
)
grand_sub_agent_2 = _TestingAgent(
name=f'{request.function.__name__}__grand_sub_agent_2'
)
sub_agent_1 = _TestingAgent(
name=f'{request.function.__name__}_sub_agent_1',
sub_agents=[grand_sub_agent_1],
)
sub_agent_2 = _TestingAgent(
name=f'{request.function.__name__}_sub_agent_2',
sub_agents=[grand_sub_agent_2],
)
parent = _TestingAgent(
name=f'{request.function.__name__}_parent',
sub_agents=[sub_agent_1, sub_agent_2],
)
assert parent.find_agent(parent.name) == parent
assert parent.find_agent(sub_agent_1.name) == sub_agent_1
assert parent.find_agent(sub_agent_2.name) == sub_agent_2
assert parent.find_agent(grand_sub_agent_1.name) == grand_sub_agent_1
assert parent.find_agent(grand_sub_agent_2.name) == grand_sub_agent_2
assert sub_agent_1.find_agent(grand_sub_agent_1.name) == grand_sub_agent_1
assert sub_agent_1.find_agent(grand_sub_agent_2.name) is None
assert sub_agent_2.find_agent(grand_sub_agent_1.name) is None
assert sub_agent_2.find_agent(sub_agent_2.name) == sub_agent_2
assert parent.find_agent('not_exist') is None
def test_find_sub_agent(request: pytest.FixtureRequest):
grand_sub_agent_1 = _TestingAgent(
name=f'{request.function.__name__}__grand_sub_agent_1'
)
grand_sub_agent_2 = _TestingAgent(
name=f'{request.function.__name__}__grand_sub_agent_2'
)
sub_agent_1 = _TestingAgent(
name=f'{request.function.__name__}_sub_agent_1',
sub_agents=[grand_sub_agent_1],
)
sub_agent_2 = _TestingAgent(
name=f'{request.function.__name__}_sub_agent_2',
sub_agents=[grand_sub_agent_2],
)
parent = _TestingAgent(
name=f'{request.function.__name__}_parent',
sub_agents=[sub_agent_1, sub_agent_2],
)
assert parent.find_sub_agent(sub_agent_1.name) == sub_agent_1
assert parent.find_sub_agent(sub_agent_2.name) == sub_agent_2
assert parent.find_sub_agent(grand_sub_agent_1.name) == grand_sub_agent_1
assert parent.find_sub_agent(grand_sub_agent_2.name) == grand_sub_agent_2
assert sub_agent_1.find_sub_agent(grand_sub_agent_1.name) == grand_sub_agent_1
assert sub_agent_1.find_sub_agent(grand_sub_agent_2.name) is None
assert sub_agent_2.find_sub_agent(grand_sub_agent_1.name) is None
assert sub_agent_2.find_sub_agent(grand_sub_agent_2.name) == grand_sub_agent_2
assert parent.find_sub_agent(parent.name) is None
assert parent.find_sub_agent('not_exist') is None
def test_root_agent(request: pytest.FixtureRequest):
grand_sub_agent_1 = _TestingAgent(
name=f'{request.function.__name__}__grand_sub_agent_1'
)
grand_sub_agent_2 = _TestingAgent(
name=f'{request.function.__name__}__grand_sub_agent_2'
)
sub_agent_1 = _TestingAgent(
name=f'{request.function.__name__}_sub_agent_1',
sub_agents=[grand_sub_agent_1],
)
sub_agent_2 = _TestingAgent(
name=f'{request.function.__name__}_sub_agent_2',
sub_agents=[grand_sub_agent_2],
)
parent = _TestingAgent(
name=f'{request.function.__name__}_parent',
sub_agents=[sub_agent_1, sub_agent_2],
)
assert parent.root_agent == parent
assert sub_agent_1.root_agent == parent
assert sub_agent_2.root_agent == parent
assert grand_sub_agent_1.root_agent == parent
assert grand_sub_agent_2.root_agent == parent
def test_set_parent_agent_for_sub_agent_twice(
request: pytest.FixtureRequest,
):
sub_agent = _TestingAgent(name=f'{request.function.__name__}_sub_agent')
_ = _TestingAgent(
name=f'{request.function.__name__}_parent_1',
sub_agents=[sub_agent],
)
with pytest.raises(ValueError):
_ = _TestingAgent(
name=f'{request.function.__name__}_parent_2',
sub_agents=[sub_agent],
)

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# Copyright 2025 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 google.adk.agents.invocation_context import InvocationContext
from google.adk.agents.langgraph_agent import LangGraphAgent
from google.adk.events import Event
from google.genai import types
from langchain_core.messages import AIMessage
from langchain_core.messages import HumanMessage
from langchain_core.messages import SystemMessage
from langgraph.graph.graph import CompiledGraph
import pytest
@pytest.mark.parametrize(
"checkpointer_value, events_list, expected_messages",
[
(
MagicMock(),
[
Event(
invocation_id="test_invocation_id",
author="user",
content=types.Content(
role="user",
parts=[types.Part.from_text(text="test prompt")],
),
),
Event(
invocation_id="test_invocation_id",
author="root_agent",
content=types.Content(
role="model",
parts=[types.Part.from_text(text="(some delegation)")],
),
),
],
[
SystemMessage(content="test system prompt"),
HumanMessage(content="test prompt"),
],
),
(
None,
[
Event(
invocation_id="test_invocation_id",
author="user",
content=types.Content(
role="user",
parts=[types.Part.from_text(text="user prompt 1")],
),
),
Event(
invocation_id="test_invocation_id",
author="root_agent",
content=types.Content(
role="model",
parts=[
types.Part.from_text(text="root agent response")
],
),
),
Event(
invocation_id="test_invocation_id",
author="weather_agent",
content=types.Content(
role="model",
parts=[
types.Part.from_text(text="weather agent response")
],
),
),
Event(
invocation_id="test_invocation_id",
author="user",
content=types.Content(
role="user",
parts=[types.Part.from_text(text="user prompt 2")],
),
),
],
[
SystemMessage(content="test system prompt"),
HumanMessage(content="user prompt 1"),
AIMessage(content="weather agent response"),
HumanMessage(content="user prompt 2"),
],
),
(
MagicMock(),
[
Event(
invocation_id="test_invocation_id",
author="user",
content=types.Content(
role="user",
parts=[types.Part.from_text(text="user prompt 1")],
),
),
Event(
invocation_id="test_invocation_id",
author="root_agent",
content=types.Content(
role="model",
parts=[
types.Part.from_text(text="root agent response")
],
),
),
Event(
invocation_id="test_invocation_id",
author="weather_agent",
content=types.Content(
role="model",
parts=[
types.Part.from_text(text="weather agent response")
],
),
),
Event(
invocation_id="test_invocation_id",
author="user",
content=types.Content(
role="user",
parts=[types.Part.from_text(text="user prompt 2")],
),
),
],
[
SystemMessage(content="test system prompt"),
HumanMessage(content="user prompt 2"),
],
),
],
)
@pytest.mark.asyncio
async def test_langgraph_agent(
checkpointer_value, events_list, expected_messages
):
mock_graph = MagicMock(spec=CompiledGraph)
mock_graph_state = MagicMock()
mock_graph_state.values = {}
mock_graph.get_state.return_value = mock_graph_state
mock_graph.checkpointer = checkpointer_value
mock_graph.invoke.return_value = {
"messages": [AIMessage(content="test response")]
}
mock_parent_context = MagicMock(spec=InvocationContext)
mock_session = MagicMock()
mock_parent_context.session = mock_session
mock_parent_context.branch = "parent_agent"
mock_parent_context.end_invocation = False
mock_session.events = events_list
mock_parent_context.invocation_id = "test_invocation_id"
mock_parent_context.model_copy.return_value = mock_parent_context
weather_agent = LangGraphAgent(
name="weather_agent",
description="A agent that answers weather questions",
instruction="test system prompt",
graph=mock_graph,
)
result_event = None
async for event in weather_agent.run_async(mock_parent_context):
result_event = event
assert result_event.author == "weather_agent"
assert result_event.content.parts[0].text == "test response"
mock_graph.invoke.assert_called_once()
mock_graph.invoke.assert_called_with(
{"messages": expected_messages},
{"configurable": {"thread_id": mock_session.id}},
)

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# Copyright 2025 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 typing import Any
from typing import Optional
from google.adk.agents.callback_context import CallbackContext
from google.adk.agents.llm_agent import Agent
from google.adk.models import LlmRequest
from google.adk.models import LlmResponse
from google.genai import types
from pydantic import BaseModel
import pytest
from .. import utils
class MockBeforeModelCallback(BaseModel):
mock_response: str
def __call__(
self,
callback_context: CallbackContext,
llm_request: LlmRequest,
) -> LlmResponse:
return LlmResponse(
content=utils.ModelContent(
[types.Part.from_text(text=self.mock_response)]
)
)
class MockAfterModelCallback(BaseModel):
mock_response: str
def __call__(
self,
callback_context: CallbackContext,
llm_response: LlmResponse,
) -> LlmResponse:
return LlmResponse(
content=utils.ModelContent(
[types.Part.from_text(text=self.mock_response)]
)
)
def noop_callback(**kwargs) -> Optional[LlmResponse]:
pass
@pytest.mark.asyncio
async def test_before_model_callback():
responses = ['model_response']
mock_model = utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
before_model_callback=MockBeforeModelCallback(
mock_response='before_model_callback'
),
)
runner = utils.TestInMemoryRunner(agent)
assert utils.simplify_events(
await runner.run_async_with_new_session('test')
) == [
('root_agent', 'before_model_callback'),
]
@pytest.mark.asyncio
async def test_before_model_callback_noop():
responses = ['model_response']
mock_model = utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
before_model_callback=noop_callback,
)
runner = utils.TestInMemoryRunner(agent)
assert utils.simplify_events(
await runner.run_async_with_new_session('test')
) == [
('root_agent', 'model_response'),
]
@pytest.mark.asyncio
async def test_before_model_callback_end():
responses = ['model_response']
mock_model = utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
before_model_callback=MockBeforeModelCallback(
mock_response='before_model_callback',
),
)
runner = utils.TestInMemoryRunner(agent)
assert utils.simplify_events(
await runner.run_async_with_new_session('test')
) == [
('root_agent', 'before_model_callback'),
]
@pytest.mark.asyncio
async def test_after_model_callback():
responses = ['model_response']
mock_model = utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
after_model_callback=MockAfterModelCallback(
mock_response='after_model_callback'
),
)
runner = utils.TestInMemoryRunner(agent)
assert utils.simplify_events(
await runner.run_async_with_new_session('test')
) == [
('root_agent', 'after_model_callback'),
]

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# Copyright 2025 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.
"""Unit tests for canonical_xxx fields in LlmAgent."""
from typing import Any
from typing import Optional
from google.adk.agents.callback_context import CallbackContext
from google.adk.agents.invocation_context import InvocationContext
from google.adk.agents.llm_agent import LlmAgent
from google.adk.agents.loop_agent import LoopAgent
from google.adk.agents.readonly_context import ReadonlyContext
from google.adk.models.llm_request import LlmRequest
from google.adk.models.registry import LLMRegistry
from google.adk.sessions.in_memory_session_service import InMemorySessionService
from google.genai import types
from pydantic import BaseModel
import pytest
def _create_readonly_context(
agent: LlmAgent, state: Optional[dict[str, Any]] = None
) -> ReadonlyContext:
session_service = InMemorySessionService()
session = session_service.create_session(
app_name='test_app', user_id='test_user', state=state
)
invocation_context = InvocationContext(
invocation_id='test_id',
agent=agent,
session=session,
session_service=session_service,
)
return ReadonlyContext(invocation_context)
def test_canonical_model_empty():
agent = LlmAgent(name='test_agent')
with pytest.raises(ValueError):
_ = agent.canonical_model
def test_canonical_model_str():
agent = LlmAgent(name='test_agent', model='gemini-pro')
assert agent.canonical_model.model == 'gemini-pro'
def test_canonical_model_llm():
llm = LLMRegistry.new_llm('gemini-pro')
agent = LlmAgent(name='test_agent', model=llm)
assert agent.canonical_model == llm
def test_canonical_model_inherit():
sub_agent = LlmAgent(name='sub_agent')
parent_agent = LlmAgent(
name='parent_agent', model='gemini-pro', sub_agents=[sub_agent]
)
assert sub_agent.canonical_model == parent_agent.canonical_model
def test_canonical_instruction_str():
agent = LlmAgent(name='test_agent', instruction='instruction')
ctx = _create_readonly_context(agent)
assert agent.canonical_instruction(ctx) == 'instruction'
def test_canonical_instruction():
def _instruction_provider(ctx: ReadonlyContext) -> str:
return f'instruction: {ctx.state["state_var"]}'
agent = LlmAgent(name='test_agent', instruction=_instruction_provider)
ctx = _create_readonly_context(agent, state={'state_var': 'state_value'})
assert agent.canonical_instruction(ctx) == 'instruction: state_value'
def test_canonical_global_instruction_str():
agent = LlmAgent(name='test_agent', global_instruction='global instruction')
ctx = _create_readonly_context(agent)
assert agent.canonical_global_instruction(ctx) == 'global instruction'
def test_canonical_global_instruction():
def _global_instruction_provider(ctx: ReadonlyContext) -> str:
return f'global instruction: {ctx.state["state_var"]}'
agent = LlmAgent(
name='test_agent', global_instruction=_global_instruction_provider
)
ctx = _create_readonly_context(agent, state={'state_var': 'state_value'})
assert (
agent.canonical_global_instruction(ctx)
== 'global instruction: state_value'
)
def test_output_schema_will_disable_transfer(caplog: pytest.LogCaptureFixture):
with caplog.at_level('WARNING'):
class Schema(BaseModel):
pass
agent = LlmAgent(
name='test_agent',
output_schema=Schema,
)
# Transfer is automatically disabled
assert agent.disallow_transfer_to_parent
assert agent.disallow_transfer_to_peers
assert (
'output_schema cannot co-exist with agent transfer configurations.'
in caplog.text
)
def test_output_schema_with_sub_agents_will_throw():
class Schema(BaseModel):
pass
sub_agent = LlmAgent(
name='sub_agent',
)
with pytest.raises(ValueError):
_ = LlmAgent(
name='test_agent',
output_schema=Schema,
sub_agents=[sub_agent],
)
def test_output_schema_with_tools_will_throw():
class Schema(BaseModel):
pass
def _a_tool():
pass
with pytest.raises(ValueError):
_ = LlmAgent(
name='test_agent',
output_schema=Schema,
tools=[_a_tool],
)
def test_before_model_callback():
def _before_model_callback(
callback_context: CallbackContext,
llm_request: LlmRequest,
) -> None:
return None
agent = LlmAgent(
name='test_agent', before_model_callback=_before_model_callback
)
# TODO: add more logic assertions later.
assert agent.before_model_callback is not None
def test_validate_generate_content_config_thinking_config_throw():
with pytest.raises(ValueError):
_ = LlmAgent(
name='test_agent',
generate_content_config=types.GenerateContentConfig(
thinking_config=types.ThinkingConfig()
),
)
def test_validate_generate_content_config_tools_throw():
with pytest.raises(ValueError):
_ = LlmAgent(
name='test_agent',
generate_content_config=types.GenerateContentConfig(
tools=[types.Tool(function_declarations=[])]
),
)
def test_validate_generate_content_config_system_instruction_throw():
with pytest.raises(ValueError):
_ = LlmAgent(
name='test_agent',
generate_content_config=types.GenerateContentConfig(
system_instruction='system instruction'
),
)
def test_validate_generate_content_config_response_schema_throw():
class Schema(BaseModel):
pass
with pytest.raises(ValueError):
_ = LlmAgent(
name='test_agent',
generate_content_config=types.GenerateContentConfig(
response_schema=Schema
),
)
def test_allow_transfer_by_default():
sub_agent = LlmAgent(name='sub_agent')
agent = LlmAgent(name='test_agent', sub_agents=[sub_agent])
assert not agent.disallow_transfer_to_parent
assert not agent.disallow_transfer_to_peers

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# Copyright 2025 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.
"""Testings for the SequentialAgent."""
from typing import AsyncGenerator
from google.adk.agents.base_agent import BaseAgent
from google.adk.agents.invocation_context import InvocationContext
from google.adk.agents.loop_agent import LoopAgent
from google.adk.events import Event
from google.adk.events import EventActions
from google.adk.sessions.in_memory_session_service import InMemorySessionService
from google.genai import types
import pytest
from typing_extensions import override
class _TestingAgent(BaseAgent):
@override
async def _run_async_impl(
self, ctx: InvocationContext
) -> AsyncGenerator[Event, None]:
yield Event(
author=self.name,
invocation_id=ctx.invocation_id,
content=types.Content(
parts=[types.Part(text=f'Hello, async {self.name}!')]
),
)
@override
async def _run_live_impl(
self, ctx: InvocationContext
) -> AsyncGenerator[Event, None]:
yield Event(
author=self.name,
invocation_id=ctx.invocation_id,
content=types.Content(
parts=[types.Part(text=f'Hello, live {self.name}!')]
),
)
class _TestingAgentWithEscalateAction(BaseAgent):
@override
async def _run_async_impl(
self, ctx: InvocationContext
) -> AsyncGenerator[Event, None]:
yield Event(
author=self.name,
invocation_id=ctx.invocation_id,
content=types.Content(
parts=[types.Part(text=f'Hello, async {self.name}!')]
),
actions=EventActions(escalate=True),
)
def _create_parent_invocation_context(
test_name: str, agent: BaseAgent
) -> InvocationContext:
session_service = InMemorySessionService()
session = session_service.create_session(
app_name='test_app', user_id='test_user'
)
return InvocationContext(
invocation_id=f'{test_name}_invocation_id',
agent=agent,
session=session,
session_service=session_service,
)
@pytest.mark.asyncio
async def test_run_async(request: pytest.FixtureRequest):
agent = _TestingAgent(name=f'{request.function.__name__}_test_agent')
loop_agent = LoopAgent(
name=f'{request.function.__name__}_test_loop_agent',
max_iterations=2,
sub_agents=[
agent,
],
)
parent_ctx = _create_parent_invocation_context(
request.function.__name__, loop_agent
)
events = [e async for e in loop_agent.run_async(parent_ctx)]
assert len(events) == 2
assert events[0].author == agent.name
assert events[1].author == agent.name
assert events[0].content.parts[0].text == f'Hello, async {agent.name}!'
assert events[1].content.parts[0].text == f'Hello, async {agent.name}!'
@pytest.mark.asyncio
async def test_run_async_with_escalate_action(request: pytest.FixtureRequest):
non_escalating_agent = _TestingAgent(
name=f'{request.function.__name__}_test_non_escalating_agent'
)
escalating_agent = _TestingAgentWithEscalateAction(
name=f'{request.function.__name__}_test_escalating_agent'
)
loop_agent = LoopAgent(
name=f'{request.function.__name__}_test_loop_agent',
sub_agents=[non_escalating_agent, escalating_agent],
)
parent_ctx = _create_parent_invocation_context(
request.function.__name__, loop_agent
)
events = [e async for e in loop_agent.run_async(parent_ctx)]
# Only two events are generated because the sub escalating_agent escalates.
assert len(events) == 2
assert events[0].author == non_escalating_agent.name
assert events[1].author == escalating_agent.name
assert events[0].content.parts[0].text == (
f'Hello, async {non_escalating_agent.name}!'
)
assert events[1].content.parts[0].text == (
f'Hello, async {escalating_agent.name}!'
)

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# Copyright 2025 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.
"""Tests for the ParallelAgent."""
import asyncio
from typing import AsyncGenerator
from google.adk.agents.base_agent import BaseAgent
from google.adk.agents.invocation_context import InvocationContext
from google.adk.agents.parallel_agent import ParallelAgent
from google.adk.events import Event
from google.adk.sessions.in_memory_session_service import InMemorySessionService
from google.genai import types
import pytest
from typing_extensions import override
class _TestingAgent(BaseAgent):
delay: float = 0
"""The delay before the agent generates an event."""
@override
async def _run_async_impl(
self, ctx: InvocationContext
) -> AsyncGenerator[Event, None]:
await asyncio.sleep(self.delay)
yield Event(
author=self.name,
branch=ctx.branch,
invocation_id=ctx.invocation_id,
content=types.Content(
parts=[types.Part(text=f'Hello, async {self.name}!')]
),
)
def _create_parent_invocation_context(
test_name: str, agent: BaseAgent
) -> InvocationContext:
session_service = InMemorySessionService()
session = session_service.create_session(
app_name='test_app', user_id='test_user'
)
return InvocationContext(
invocation_id=f'{test_name}_invocation_id',
agent=agent,
session=session,
session_service=session_service,
)
@pytest.mark.asyncio
async def test_run_async(request: pytest.FixtureRequest):
agent1 = _TestingAgent(
name=f'{request.function.__name__}_test_agent_1',
delay=0.5,
)
agent2 = _TestingAgent(name=f'{request.function.__name__}_test_agent_2')
parallel_agent = ParallelAgent(
name=f'{request.function.__name__}_test_parallel_agent',
sub_agents=[
agent1,
agent2,
],
)
parent_ctx = _create_parent_invocation_context(
request.function.__name__, parallel_agent
)
events = [e async for e in parallel_agent.run_async(parent_ctx)]
assert len(events) == 2
# agent2 generates an event first, then agent1. Because they run in parallel
# and agent1 has a delay.
assert events[0].author == agent2.name
assert events[1].author == agent1.name
assert events[0].branch.endswith(agent2.name)
assert events[1].branch.endswith(agent1.name)
assert events[0].content.parts[0].text == f'Hello, async {agent2.name}!'
assert events[1].content.parts[0].text == f'Hello, async {agent1.name}!'

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# Copyright 2025 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.
"""Testings for the SequentialAgent."""
from typing import AsyncGenerator
from google.adk.agents.base_agent import BaseAgent
from google.adk.agents.invocation_context import InvocationContext
from google.adk.agents.sequential_agent import SequentialAgent
from google.adk.events import Event
from google.adk.sessions.in_memory_session_service import InMemorySessionService
from google.genai import types
import pytest
from typing_extensions import override
class _TestingAgent(BaseAgent):
@override
async def _run_async_impl(
self, ctx: InvocationContext
) -> AsyncGenerator[Event, None]:
yield Event(
author=self.name,
invocation_id=ctx.invocation_id,
content=types.Content(
parts=[types.Part(text=f'Hello, async {self.name}!')]
),
)
@override
async def _run_live_impl(
self, ctx: InvocationContext
) -> AsyncGenerator[Event, None]:
yield Event(
author=self.name,
invocation_id=ctx.invocation_id,
content=types.Content(
parts=[types.Part(text=f'Hello, live {self.name}!')]
),
)
def _create_parent_invocation_context(
test_name: str, agent: BaseAgent
) -> InvocationContext:
session_service = InMemorySessionService()
session = session_service.create_session(
app_name='test_app', user_id='test_user'
)
return InvocationContext(
invocation_id=f'{test_name}_invocation_id',
agent=agent,
session=session,
session_service=session_service,
)
@pytest.mark.asyncio
async def test_run_async(request: pytest.FixtureRequest):
agent_1 = _TestingAgent(name=f'{request.function.__name__}_test_agent_1')
agent_2 = _TestingAgent(name=f'{request.function.__name__}_test_agent_2')
sequential_agent = SequentialAgent(
name=f'{request.function.__name__}_test_agent',
sub_agents=[
agent_1,
agent_2,
],
)
parent_ctx = _create_parent_invocation_context(
request.function.__name__, sequential_agent
)
events = [e async for e in sequential_agent.run_async(parent_ctx)]
assert len(events) == 2
assert events[0].author == agent_1.name
assert events[1].author == agent_2.name
assert events[0].content.parts[0].text == f'Hello, async {agent_1.name}!'
assert events[1].content.parts[0].text == f'Hello, async {agent_2.name}!'
@pytest.mark.asyncio
async def test_run_live(request: pytest.FixtureRequest):
agent_1 = _TestingAgent(name=f'{request.function.__name__}_test_agent_1')
agent_2 = _TestingAgent(name=f'{request.function.__name__}_test_agent_2')
sequential_agent = SequentialAgent(
name=f'{request.function.__name__}_test_agent',
sub_agents=[
agent_1,
agent_2,
],
)
parent_ctx = _create_parent_invocation_context(
request.function.__name__, sequential_agent
)
events = [e async for e in sequential_agent.run_live(parent_ctx)]
assert len(events) == 2
assert events[0].author == agent_1.name
assert events[1].author == agent_2.name
assert events[0].content.parts[0].text == f'Hello, live {agent_1.name}!'
assert events[1].content.parts[0].text == f'Hello, live {agent_2.name}!'

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# Copyright 2025 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.

View File

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# Copyright 2025 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.
"""Tests for the artifact service."""
import enum
from typing import Optional
from typing import Union
from google.adk.artifacts import GcsArtifactService
from google.adk.artifacts import InMemoryArtifactService
from google.genai import types
import pytest
Enum = enum.Enum
class ArtifactServiceType(Enum):
IN_MEMORY = "IN_MEMORY"
GCS = "GCS"
class MockBlob:
"""Mocks a GCS Blob object.
This class provides mock implementations for a few common GCS Blob methods,
allowing the user to test code that interacts with GCS without actually
connecting to a real bucket.
"""
def __init__(self, name: str) -> None:
"""Initializes a MockBlob.
Args:
name: The name of the blob.
"""
self.name = name
self.content: Optional[bytes] = None
self.content_type: Optional[str] = None
def upload_from_string(
self, data: Union[str, bytes], content_type: Optional[str] = None
) -> None:
"""Mocks uploading data to the blob (from a string or bytes).
Args:
data: The data to upload (string or bytes).
content_type: The content type of the data (optional).
"""
if isinstance(data, str):
self.content = data.encode("utf-8")
elif isinstance(data, bytes):
self.content = data
else:
raise TypeError("data must be str or bytes")
if content_type:
self.content_type = content_type
def download_as_bytes(self) -> bytes:
"""Mocks downloading the blob's content as bytes.
Returns:
bytes: The content of the blob as bytes.
Raises:
Exception: If the blob doesn't exist (hasn't been uploaded to).
"""
if self.content is None:
return b""
return self.content
def delete(self) -> None:
"""Mocks deleting a blob."""
self.content = None
self.content_type = None
class MockBucket:
"""Mocks a GCS Bucket object."""
def __init__(self, name: str) -> None:
"""Initializes a MockBucket.
Args:
name: The name of the bucket.
"""
self.name = name
self.blobs: dict[str, MockBlob] = {}
def blob(self, blob_name: str) -> MockBlob:
"""Mocks getting a Blob object (doesn't create it in storage).
Args:
blob_name: The name of the blob.
Returns:
A MockBlob instance.
"""
if blob_name not in self.blobs:
self.blobs[blob_name] = MockBlob(blob_name)
return self.blobs[blob_name]
class MockClient:
"""Mocks the GCS Client."""
def __init__(self) -> None:
"""Initializes MockClient."""
self.buckets: dict[str, MockBucket] = {}
def bucket(self, bucket_name: str) -> MockBucket:
"""Mocks getting a Bucket object."""
if bucket_name not in self.buckets:
self.buckets[bucket_name] = MockBucket(bucket_name)
return self.buckets[bucket_name]
def list_blobs(self, bucket: MockBucket, prefix: Optional[str] = None):
"""Mocks listing blobs in a bucket, optionally with a prefix."""
if prefix:
return [
blob for name, blob in bucket.blobs.items() if name.startswith(prefix)
]
return list(bucket.blobs.values())
def mock_gcs_artifact_service():
"""Creates a mock GCS artifact service for testing."""
service = GcsArtifactService(bucket_name="test_bucket")
service.storage_client = MockClient()
service.bucket = service.storage_client.bucket("test_bucket")
return service
def get_artifact_service(
service_type: ArtifactServiceType = ArtifactServiceType.IN_MEMORY,
):
"""Creates an artifact service for testing."""
if service_type == ArtifactServiceType.GCS:
return mock_gcs_artifact_service()
return InMemoryArtifactService()
@pytest.mark.parametrize(
"service_type", [ArtifactServiceType.IN_MEMORY, ArtifactServiceType.GCS]
)
def test_load_empty(service_type):
"""Tests loading an artifact when none exists."""
artifact_service = get_artifact_service(service_type)
assert not artifact_service.load_artifact(
app_name="test_app",
user_id="test_user",
session_id="session_id",
filename="filename",
)
@pytest.mark.parametrize(
"service_type", [ArtifactServiceType.IN_MEMORY, ArtifactServiceType.GCS]
)
def test_save_load_delete(service_type):
"""Tests saving, loading, and deleting an artifact."""
artifact_service = get_artifact_service(service_type)
artifact = types.Part.from_bytes(data=b"test_data", mime_type="text/plain")
app_name = "app0"
user_id = "user0"
session_id = "123"
filename = "file456"
artifact_service.save_artifact(
app_name=app_name,
user_id=user_id,
session_id=session_id,
filename=filename,
artifact=artifact,
)
assert (
artifact_service.load_artifact(
app_name=app_name,
user_id=user_id,
session_id=session_id,
filename=filename,
)
== artifact
)
artifact_service.delete_artifact(
app_name=app_name,
user_id=user_id,
session_id=session_id,
filename=filename,
)
assert not artifact_service.load_artifact(
app_name=app_name,
user_id=user_id,
session_id=session_id,
filename=filename,
)
@pytest.mark.parametrize(
"service_type", [ArtifactServiceType.IN_MEMORY, ArtifactServiceType.GCS]
)
def test_list_keys(service_type):
"""Tests listing keys in the artifact service."""
artifact_service = get_artifact_service(service_type)
artifact = types.Part.from_bytes(data=b"test_data", mime_type="text/plain")
app_name = "app0"
user_id = "user0"
session_id = "123"
filename = "filename"
filenames = [filename + str(i) for i in range(5)]
for f in filenames:
artifact_service.save_artifact(
app_name=app_name,
user_id=user_id,
session_id=session_id,
filename=f,
artifact=artifact,
)
assert (
artifact_service.list_artifact_keys(
app_name=app_name, user_id=user_id, session_id=session_id
)
== filenames
)
@pytest.mark.parametrize(
"service_type", [ArtifactServiceType.IN_MEMORY, ArtifactServiceType.GCS]
)
def test_list_versions(service_type):
"""Tests listing versions of an artifact."""
artifact_service = get_artifact_service(service_type)
app_name = "app0"
user_id = "user0"
session_id = "123"
filename = "filename"
versions = [
types.Part.from_bytes(
data=i.to_bytes(2, byteorder="big"), mime_type="text/plain"
)
for i in range(3)
]
for i in range(3):
artifact_service.save_artifact(
app_name=app_name,
user_id=user_id,
session_id=session_id,
filename=filename,
artifact=versions[i],
)
response_versions = artifact_service.list_versions(
app_name=app_name,
user_id=user_id,
session_id=session_id,
filename=filename,
)
assert response_versions == list(range(3))

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# Copyright 2025 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.
import copy
from unittest.mock import patch
from fastapi.openapi.models import APIKey
from fastapi.openapi.models import APIKeyIn
from fastapi.openapi.models import OAuth2
from fastapi.openapi.models import OAuthFlowAuthorizationCode
from fastapi.openapi.models import OAuthFlows
import pytest
from google.adk.auth.auth_credential import AuthCredential
from google.adk.auth.auth_credential import AuthCredentialTypes
from google.adk.auth.auth_credential import OAuth2Auth
from google.adk.auth.auth_handler import AuthHandler
from google.adk.auth.auth_schemes import OpenIdConnectWithConfig
from google.adk.auth.auth_tool import AuthConfig
# Mock classes for testing
class MockState(dict):
"""Mock State class for testing."""
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def get(self, key, default=None):
return super().get(key, default)
class MockOAuth2Session:
"""Mock OAuth2Session for testing."""
def __init__(
self,
client_id=None,
client_secret=None,
scope=None,
redirect_uri=None,
state=None,
):
self.client_id = client_id
self.client_secret = client_secret
self.scope = scope
self.redirect_uri = redirect_uri
self.state = state
def create_authorization_url(self, url):
return f"{url}?client_id={self.client_id}&scope={self.scope}", "mock_state"
def fetch_token(
self,
token_endpoint,
authorization_response=None,
code=None,
grant_type=None,
):
return {
"access_token": "mock_access_token",
"token_type": "bearer",
"expires_in": 3600,
"refresh_token": "mock_refresh_token",
}
# Fixtures for common test objects
@pytest.fixture
def oauth2_auth_scheme():
"""Create an OAuth2 auth scheme for testing."""
# Create the OAuthFlows object first
flows = OAuthFlows(
authorizationCode=OAuthFlowAuthorizationCode(
authorizationUrl="https://example.com/oauth2/authorize",
tokenUrl="https://example.com/oauth2/token",
scopes={"read": "Read access", "write": "Write access"},
)
)
# Then create the OAuth2 object with the flows
return OAuth2(flows=flows)
@pytest.fixture
def openid_auth_scheme():
"""Create an OpenID Connect auth scheme for testing."""
return OpenIdConnectWithConfig(
openIdConnectUrl="https://example.com/.well-known/openid-configuration",
authorization_endpoint="https://example.com/oauth2/authorize",
token_endpoint="https://example.com/oauth2/token",
scopes=["openid", "profile", "email"],
)
@pytest.fixture
def oauth2_credentials():
"""Create OAuth2 credentials for testing."""
return AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id="mock_client_id",
client_secret="mock_client_secret",
redirect_uri="https://example.com/callback",
),
)
@pytest.fixture
def oauth2_credentials_with_token():
"""Create OAuth2 credentials with a token for testing."""
return AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id="mock_client_id",
client_secret="mock_client_secret",
redirect_uri="https://example.com/callback",
token={
"access_token": "mock_access_token",
"token_type": "bearer",
"expires_in": 3600,
"refresh_token": "mock_refresh_token",
},
),
)
@pytest.fixture
def oauth2_credentials_with_auth_uri():
"""Create OAuth2 credentials with an auth URI for testing."""
return AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id="mock_client_id",
client_secret="mock_client_secret",
redirect_uri="https://example.com/callback",
auth_uri="https://example.com/oauth2/authorize?client_id=mock_client_id&scope=read,write",
state="mock_state",
),
)
@pytest.fixture
def oauth2_credentials_with_auth_code():
"""Create OAuth2 credentials with an auth code for testing."""
return AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id="mock_client_id",
client_secret="mock_client_secret",
redirect_uri="https://example.com/callback",
auth_uri="https://example.com/oauth2/authorize?client_id=mock_client_id&scope=read,write",
state="mock_state",
auth_code="mock_auth_code",
auth_response_uri="https://example.com/callback?code=mock_auth_code&state=mock_state",
),
)
@pytest.fixture
def auth_config(oauth2_auth_scheme, oauth2_credentials):
"""Create an AuthConfig for testing."""
# Create a copy of the credentials for the exchanged_auth_credential
exchanged_credential = oauth2_credentials.model_copy(deep=True)
return AuthConfig(
auth_scheme=oauth2_auth_scheme,
raw_auth_credential=oauth2_credentials,
exchanged_auth_credential=exchanged_credential,
)
@pytest.fixture
def auth_config_with_exchanged(
oauth2_auth_scheme, oauth2_credentials, oauth2_credentials_with_auth_uri
):
"""Create an AuthConfig with exchanged credentials for testing."""
return AuthConfig(
auth_scheme=oauth2_auth_scheme,
raw_auth_credential=oauth2_credentials,
exchanged_auth_credential=oauth2_credentials_with_auth_uri,
)
@pytest.fixture
def auth_config_with_auth_code(
oauth2_auth_scheme, oauth2_credentials, oauth2_credentials_with_auth_code
):
"""Create an AuthConfig with auth code for testing."""
return AuthConfig(
auth_scheme=oauth2_auth_scheme,
raw_auth_credential=oauth2_credentials,
exchanged_auth_credential=oauth2_credentials_with_auth_code,
)
class TestAuthHandlerInit:
"""Tests for the AuthHandler initialization."""
def test_init(self, auth_config):
"""Test the initialization of AuthHandler."""
handler = AuthHandler(auth_config)
assert handler.auth_config == auth_config
class TestGetCredentialKey:
"""Tests for the get_credential_key method."""
def test_get_credential_key(self, auth_config):
"""Test generating a unique credential key."""
handler = AuthHandler(auth_config)
key = handler.get_credential_key()
assert key.startswith("temp:adk_oauth2_")
assert "_oauth2_" in key
def test_get_credential_key_with_extras(self, auth_config):
"""Test generating a key when model_extra exists."""
# Add model_extra to test cleanup
original_key = AuthHandler(auth_config).get_credential_key()
key = AuthHandler(auth_config).get_credential_key()
auth_config.auth_scheme.model_extra["extra_field"] = "value"
auth_config.raw_auth_credential.model_extra["extra_field"] = "value"
assert original_key == key
assert "extra_field" in auth_config.auth_scheme.model_extra
assert "extra_field" in auth_config.raw_auth_credential.model_extra
class TestGenerateAuthUri:
"""Tests for the generate_auth_uri method."""
@pytest.mark.skip(reason="broken tests")
@patch("google.adk.auth.auth_handler.OAuth2Session", MockOAuth2Session)
def test_generate_auth_uri_oauth2(self, auth_config):
"""Test generating an auth URI for OAuth2."""
handler = AuthHandler(auth_config)
result = handler.generate_auth_uri()
assert result.oauth2.auth_uri.startswith(
"https://example.com/oauth2/authorize"
)
assert "client_id=mock_client_id" in result.oauth2.auth_uri
assert result.oauth2.state == "mock_state"
@pytest.mark.skip(reason="broken tests")
@patch("google.adk.auth.auth_handler.OAuth2Session", MockOAuth2Session)
def test_generate_auth_uri_openid(
self, openid_auth_scheme, oauth2_credentials
):
"""Test generating an auth URI for OpenID Connect."""
# Create a copy for the exchanged credential
exchanged = oauth2_credentials.model_copy(deep=True)
config = AuthConfig(
auth_scheme=openid_auth_scheme,
raw_auth_credential=oauth2_credentials,
exchanged_auth_credential=exchanged,
)
handler = AuthHandler(config)
result = handler.generate_auth_uri()
assert result.oauth2.auth_uri.startswith(
"https://example.com/oauth2/authorize"
)
assert "client_id=mock_client_id" in result.oauth2.auth_uri
assert result.oauth2.state == "mock_state"
class TestGenerateAuthRequest:
"""Tests for the generate_auth_request method."""
def test_non_oauth_scheme(self):
"""Test with a non-OAuth auth scheme."""
# Use a SecurityBase instance without using APIKey which has validation issues
api_key_scheme = APIKey(**{"name": "test_api_key", "in": APIKeyIn.header})
credential = AuthCredential(
auth_type=AuthCredentialTypes.API_KEY, api_key="test_api_key"
)
# Create a copy for the exchanged credential
exchanged = credential.model_copy(deep=True)
config = AuthConfig(
auth_scheme=api_key_scheme,
raw_auth_credential=credential,
exchanged_auth_credential=exchanged,
)
handler = AuthHandler(config)
result = handler.generate_auth_request()
assert result == config
def test_with_existing_auth_uri(self, auth_config_with_exchanged):
"""Test when auth_uri already exists in exchanged credential."""
handler = AuthHandler(auth_config_with_exchanged)
result = handler.generate_auth_request()
assert (
result.exchanged_auth_credential.oauth2.auth_uri
== auth_config_with_exchanged.exchanged_auth_credential.oauth2.auth_uri
)
def test_missing_raw_credential(self, oauth2_auth_scheme):
"""Test when raw_auth_credential is missing."""
config = AuthConfig(
auth_scheme=oauth2_auth_scheme,
)
handler = AuthHandler(config)
with pytest.raises(ValueError, match="requires auth_credential"):
handler.generate_auth_request()
def test_missing_oauth2_in_raw_credential(self, oauth2_auth_scheme):
"""Test when oauth2 is missing in raw_auth_credential."""
credential = AuthCredential(
auth_type=AuthCredentialTypes.API_KEY, api_key="test_api_key"
)
# Create a copy for the exchanged credential
exchanged = credential.model_copy(deep=True)
config = AuthConfig(
auth_scheme=oauth2_auth_scheme,
raw_auth_credential=credential,
exchanged_auth_credential=exchanged,
)
handler = AuthHandler(config)
with pytest.raises(ValueError, match="requires oauth2 in auth_credential"):
handler.generate_auth_request()
def test_auth_uri_in_raw_credential(
self, oauth2_auth_scheme, oauth2_credentials_with_auth_uri
):
"""Test when auth_uri exists in raw_credential."""
config = AuthConfig(
auth_scheme=oauth2_auth_scheme,
raw_auth_credential=oauth2_credentials_with_auth_uri,
exchanged_auth_credential=oauth2_credentials_with_auth_uri.model_copy(
deep=True
),
)
handler = AuthHandler(config)
result = handler.generate_auth_request()
assert (
result.exchanged_auth_credential.oauth2.auth_uri
== oauth2_credentials_with_auth_uri.oauth2.auth_uri
)
def test_missing_client_credentials(self, oauth2_auth_scheme):
"""Test when client_id or client_secret is missing."""
bad_credential = AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(redirect_uri="https://example.com/callback"),
)
# Create a copy for the exchanged credential
exchanged = bad_credential.model_copy(deep=True)
config = AuthConfig(
auth_scheme=oauth2_auth_scheme,
raw_auth_credential=bad_credential,
exchanged_auth_credential=exchanged,
)
handler = AuthHandler(config)
with pytest.raises(
ValueError, match="requires both client_id and client_secret"
):
handler.generate_auth_request()
@patch("google.adk.auth.auth_handler.AuthHandler.generate_auth_uri")
def test_generate_new_auth_uri(self, mock_generate_auth_uri, auth_config):
"""Test generating a new auth URI."""
mock_credential = AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id="mock_client_id",
client_secret="mock_client_secret",
redirect_uri="https://example.com/callback",
auth_uri="https://example.com/generated",
state="generated_state",
),
)
mock_generate_auth_uri.return_value = mock_credential
handler = AuthHandler(auth_config)
result = handler.generate_auth_request()
assert mock_generate_auth_uri.called
assert result.exchanged_auth_credential == mock_credential
class TestGetAuthResponse:
"""Tests for the get_auth_response method."""
def test_get_auth_response_exists(
self, auth_config, oauth2_credentials_with_auth_uri
):
"""Test retrieving an existing auth response from state."""
handler = AuthHandler(auth_config)
state = MockState()
# Store a credential in the state
credential_key = handler.get_credential_key()
state[credential_key] = oauth2_credentials_with_auth_uri
result = handler.get_auth_response(state)
assert result == oauth2_credentials_with_auth_uri
def test_get_auth_response_not_exists(self, auth_config):
"""Test retrieving a non-existent auth response from state."""
handler = AuthHandler(auth_config)
state = MockState()
result = handler.get_auth_response(state)
assert result is None
class TestParseAndStoreAuthResponse:
"""Tests for the parse_and_store_auth_response method."""
def test_non_oauth_scheme(self, auth_config_with_exchanged):
"""Test with a non-OAuth auth scheme."""
# Modify the auth scheme type to be non-OAuth
auth_config = copy.deepcopy(auth_config_with_exchanged)
auth_config.auth_scheme = APIKey(
**{"name": "test_api_key", "in": APIKeyIn.header}
)
handler = AuthHandler(auth_config)
state = MockState()
handler.parse_and_store_auth_response(state)
credential_key = handler.get_credential_key()
assert state[credential_key] == auth_config.exchanged_auth_credential
@patch("google.adk.auth.auth_handler.AuthHandler.exchange_auth_token")
def test_oauth_scheme(self, mock_exchange_token, auth_config_with_exchanged):
"""Test with an OAuth auth scheme."""
mock_exchange_token.return_value = AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(token={"access_token": "exchanged_token"}),
)
handler = AuthHandler(auth_config_with_exchanged)
state = MockState()
handler.parse_and_store_auth_response(state)
credential_key = handler.get_credential_key()
assert state[credential_key] == mock_exchange_token.return_value
assert mock_exchange_token.called
class TestExchangeAuthToken:
"""Tests for the exchange_auth_token method."""
def test_token_exchange_not_supported(
self, auth_config_with_auth_code, monkeypatch
):
"""Test when token exchange is not supported."""
monkeypatch.setattr(
"google.adk.auth.auth_handler.SUPPORT_TOKEN_EXCHANGE", False
)
handler = AuthHandler(auth_config_with_auth_code)
result = handler.exchange_auth_token()
assert result == auth_config_with_auth_code.exchanged_auth_credential
def test_openid_missing_token_endpoint(
self, openid_auth_scheme, oauth2_credentials_with_auth_code
):
"""Test OpenID Connect without a token endpoint."""
# Create a scheme without token_endpoint
scheme_without_token = copy.deepcopy(openid_auth_scheme)
delattr(scheme_without_token, "token_endpoint")
config = AuthConfig(
auth_scheme=scheme_without_token,
raw_auth_credential=oauth2_credentials_with_auth_code,
exchanged_auth_credential=oauth2_credentials_with_auth_code,
)
handler = AuthHandler(config)
result = handler.exchange_auth_token()
assert result == oauth2_credentials_with_auth_code
def test_oauth2_missing_token_url(
self, oauth2_auth_scheme, oauth2_credentials_with_auth_code
):
"""Test OAuth2 without a token URL."""
# Create a scheme without tokenUrl
scheme_without_token = copy.deepcopy(oauth2_auth_scheme)
scheme_without_token.flows.authorizationCode.tokenUrl = None
config = AuthConfig(
auth_scheme=scheme_without_token,
raw_auth_credential=oauth2_credentials_with_auth_code,
exchanged_auth_credential=oauth2_credentials_with_auth_code,
)
handler = AuthHandler(config)
result = handler.exchange_auth_token()
assert result == oauth2_credentials_with_auth_code
def test_non_oauth_scheme(self, auth_config_with_auth_code):
"""Test with a non-OAuth auth scheme."""
# Modify the auth scheme type to be non-OAuth
auth_config = copy.deepcopy(auth_config_with_auth_code)
auth_config.auth_scheme = APIKey(
**{"name": "test_api_key", "in": APIKeyIn.header}
)
handler = AuthHandler(auth_config)
result = handler.exchange_auth_token()
assert result == auth_config.exchanged_auth_credential
def test_missing_credentials(self, oauth2_auth_scheme):
"""Test with missing credentials."""
empty_credential = AuthCredential(auth_type=AuthCredentialTypes.OAUTH2)
config = AuthConfig(
auth_scheme=oauth2_auth_scheme,
exchanged_auth_credential=empty_credential,
)
handler = AuthHandler(config)
result = handler.exchange_auth_token()
assert result == empty_credential
def test_credentials_with_token(
self, auth_config, oauth2_credentials_with_token
):
"""Test when credentials already have a token."""
config = AuthConfig(
auth_scheme=auth_config.auth_scheme,
raw_auth_credential=auth_config.raw_auth_credential,
exchanged_auth_credential=oauth2_credentials_with_token,
)
handler = AuthHandler(config)
result = handler.exchange_auth_token()
assert result == oauth2_credentials_with_token
@patch("google.adk.auth.auth_handler.OAuth2Session", MockOAuth2Session)
def test_successful_token_exchange(self, auth_config_with_auth_code):
"""Test a successful token exchange."""
handler = AuthHandler(auth_config_with_auth_code)
result = handler.exchange_auth_token()
assert result.oauth2.token["access_token"] == "mock_access_token"
assert result.oauth2.token["refresh_token"] == "mock_refresh_token"
assert result.auth_type == AuthCredentialTypes.OAUTH2

View File

@@ -0,0 +1,73 @@
# Copyright 2025 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.
import os
from pytest import fixture
from pytest import FixtureRequest
from pytest import hookimpl
from pytest import Metafunc
_ENV_VARS = {
'GOOGLE_API_KEY': 'fake_google_api_key',
'GOOGLE_CLOUD_PROJECT': 'fake_google_cloud_project',
'GOOGLE_CLOUD_LOCATION': 'fake_google_cloud_location',
}
ENV_SETUPS = {
'GOOGLE_AI': {
'GOOGLE_GENAI_USE_VERTEXAI': '0',
**_ENV_VARS,
},
'VERTEX': {
'GOOGLE_GENAI_USE_VERTEXAI': '1',
**_ENV_VARS,
},
}
@fixture(autouse=True)
def env_variables(request: FixtureRequest):
# Set up the environment
env_name: str = request.param
envs = ENV_SETUPS[env_name]
original_env = {key: os.environ.get(key) for key in envs}
os.environ.update(envs)
yield # Run the test
# Restore the environment
for key in envs:
if (original_val := original_env.get(key)) is None:
os.environ.pop(key, None)
else:
os.environ[key] = original_val
@hookimpl(tryfirst=True)
def pytest_generate_tests(metafunc: Metafunc):
"""Generate test cases for each environment setup."""
if env_variables.__name__ in metafunc.fixturenames:
if not _is_explicitly_marked(env_variables.__name__, metafunc):
metafunc.parametrize(
env_variables.__name__, ENV_SETUPS.keys(), indirect=True
)
def _is_explicitly_marked(mark_name: str, metafunc: Metafunc) -> bool:
if hasattr(metafunc.function, 'pytestmark'):
for mark in metafunc.function.pytestmark:
if mark.name == 'parametrize' and mark.args[0] == mark_name:
return True
return False

View File

@@ -0,0 +1,14 @@
# Copyright 2025 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.

View File

@@ -0,0 +1,269 @@
# Copyright 2025 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.
import asyncio
import json
import sys
import threading
import time
import types as ptypes
from typing import AsyncGenerator
from google.adk.agents import BaseAgent
from google.adk.agents import LiveRequest
from google.adk.agents.run_config import RunConfig
from google.adk.cli.fast_api import AgentRunRequest
from google.adk.cli.fast_api import get_fast_api_app
from google.adk.cli.utils import envs
from google.adk.events import Event
from google.adk.runners import Runner
from google.genai import types
import httpx
import pytest
from uvicorn.main import run as uvicorn_run
import websockets
# Here we “fake” the agent module that get_fast_api_app expects.
# The server code does: `agent_module = importlib.import_module(agent_name)`
# and then accesses: agent_module.agent.root_agent.
class DummyAgent(BaseAgent):
pass
dummy_module = ptypes.ModuleType("test_agent")
dummy_module.agent = ptypes.SimpleNamespace(
root_agent=DummyAgent(name="dummy_agent")
)
sys.modules["test_app"] = dummy_module
envs.load_dotenv_for_agent("test_app", ".")
event1 = Event(
author="dummy agent",
invocation_id="invocation_id",
content=types.Content(
role="model", parts=[types.Part(text="LLM reply", inline_data=None)]
),
)
event2 = Event(
author="dummy agent",
invocation_id="invocation_id",
content=types.Content(
role="model",
parts=[
types.Part(
text=None,
inline_data=types.Blob(
mime_type="audio/pcm;rate=24000", data=b"\x00\xFF"
),
)
],
),
)
event3 = Event(
author="dummy agent", invocation_id="invocation_id", interrupted=True
)
# For simplicity, we patch Runner.run_live to yield dummy events.
# We use SimpleNamespace to mimic attribute-access (i.e. event.content.parts).
async def dummy_run_live(
self, session, live_request_queue
) -> AsyncGenerator[Event, None]:
# Immediately yield a dummy event with a text reply.
yield event1
await asyncio.sleep(0)
yield event2
await asyncio.sleep(0)
yield event3
raise Exception()
async def dummy_run_async(
self,
user_id,
session_id,
new_message,
run_config: RunConfig = RunConfig(),
) -> AsyncGenerator[Event, None]:
# Immediately yield a dummy event with a text reply.
yield event1
await asyncio.sleep(0)
yield event2
await asyncio.sleep(0)
yield event3
return
###############################################################################
# Pytest fixtures to patch methods and start the server
###############################################################################
@pytest.fixture(autouse=True)
def patch_runner(monkeypatch):
# Patch the Runner methods to use our dummy implementations.
monkeypatch.setattr(Runner, "run_live", dummy_run_live)
monkeypatch.setattr(Runner, "run_async", dummy_run_async)
@pytest.fixture(scope="module", autouse=True)
def start_server():
"""Start the FastAPI server in a background thread."""
def run_server():
uvicorn_run(
get_fast_api_app(agent_dir=".", web=True),
host="0.0.0.0",
log_config=None,
)
server_thread = threading.Thread(target=run_server, daemon=True)
server_thread.start()
# Wait a moment to ensure the server is up.
time.sleep(2)
yield
# The daemon thread will be terminated when tests complete.
@pytest.mark.asyncio
async def test_sse_endpoint():
base_http_url = "http://127.0.0.1:8000"
user_id = "test_user"
session_id = "test_session"
# Ensure that the session exists (create if necessary).
url_create = (
f"{base_http_url}/apps/test_app/users/{user_id}/sessions/{session_id}"
)
httpx.post(url_create, json={"state": {}})
async with httpx.AsyncClient() as client:
# Make a POST request to the SSE endpoint.
async with client.stream(
"POST",
f"{base_http_url}/run_sse",
json=json.loads(
AgentRunRequest(
app_name="test_app",
user_id=user_id,
session_id=session_id,
new_message=types.Content(
parts=[types.Part(text="Hello via SSE", inline_data=None)]
),
streaming=False,
).model_dump_json(exclude_none=True)
),
) as response:
# Ensure the status code and header are as expected.
assert response.status_code == 200
assert (
response.headers.get("content-type")
== "text/event-stream; charset=utf-8"
)
# Iterate over events from the stream.
event_count = 0
event_buffer = ""
async for line in response.aiter_lines():
event_buffer += line + "\n"
# An SSE event is terminated by an empty line (double newline)
if line == "" and event_buffer.strip():
# Process the complete event
event_data = None
for event_line in event_buffer.split("\n"):
if event_line.startswith("data: "):
event_data = event_line[6:] # Remove "data: " prefix
if event_data:
event_count += 1
if event_count == 1:
assert event_data == event1.model_dump_json(
exclude_none=True, by_alias=True
)
elif event_count == 2:
assert event_data == event2.model_dump_json(
exclude_none=True, by_alias=True
)
elif event_count == 3:
assert event_data == event3.model_dump_json(
exclude_none=True, by_alias=True
)
else:
pass
# Reset buffer for next event
event_buffer = ""
assert event_count == 3 # Expecting 3 events from dummy_run_async
@pytest.mark.asyncio
async def test_websocket_endpoint():
base_http_url = "http://127.0.0.1:8000"
base_ws_url = "ws://127.0.0.1:8000"
user_id = "test_user"
session_id = "test_session"
# Ensure that the session exists (create if necessary).
url_create = (
f"{base_http_url}/apps/test_app/users/{user_id}/sessions/{session_id}"
)
httpx.post(url_create, json={"state": {}})
ws_url = f"{base_ws_url}/run_live?app_name=test_app&user_id={user_id}&session_id={session_id}"
async with websockets.connect(ws_url) as ws:
# --- Test sending text data ---
text_payload = LiveRequest(
content=types.Content(
parts=[types.Part(text="Hello via WebSocket", inline_data=None)]
)
)
await ws.send(text_payload.model_dump_json())
# Wait for a reply from our dummy_run_live.
reply = await ws.recv()
event = Event.model_validate_json(reply)
assert event.content.parts[0].text == "LLM reply"
# --- Test sending binary data (allowed mime type "audio/pcm") ---
sample_audio = b"\x00\xFF"
binary_payload = LiveRequest(
blob=types.Blob(
mime_type="audio/pcm",
data=sample_audio,
)
)
await ws.send(binary_payload.model_dump_json())
# Wait for a reply.
reply = await ws.recv()
event = Event.model_validate_json(reply)
assert (
event.content.parts[0].inline_data.mime_type == "audio/pcm;rate=24000"
)
assert event.content.parts[0].inline_data.data == b"\x00\xFF"
reply = await ws.recv()
event = Event.model_validate_json(reply)
assert event.interrupted is True
assert event.content is None

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# Copyright 2025 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.

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@@ -0,0 +1,14 @@
# Copyright 2025 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.

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# Copyright 2025 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.
# TODO: delete and rewrite unit tests
from google.adk.agents import Agent
from google.adk.examples import BaseExampleProvider
from google.adk.examples import Example
from google.adk.flows.llm_flows import examples
from google.adk.models.base_llm import LlmRequest
from google.genai import types
import pytest
from ... import utils
@pytest.mark.asyncio
async def test_no_examples():
request = LlmRequest(
model="gemini-1.5-flash",
config=types.GenerateContentConfig(system_instruction=""),
)
agent = Agent(model="gemini-1.5-flash", name="agent", examples=[])
invocation_context = utils.create_invocation_context(
agent=agent, user_content=""
)
async for _ in examples.request_processor.run_async(
invocation_context,
request,
):
pass
assert request.config.system_instruction == ""
@pytest.mark.asyncio
async def test_agent_examples():
example_list = [
Example(
input=types.Content(
role="user",
parts=[types.Part.from_text(text="test1")],
),
output=[
types.Content(
role="model",
parts=[types.Part.from_text(text="response1")],
),
],
)
]
request = LlmRequest(
model="gemini-1.5-flash",
config=types.GenerateContentConfig(system_instruction=""),
)
agent = Agent(
model="gemini-1.5-flash",
name="agent",
examples=example_list,
)
invocation_context = utils.create_invocation_context(
agent=agent, user_content="test"
)
async for _ in examples.request_processor.run_async(
invocation_context,
request,
):
pass
assert (
request.config.system_instruction
== "<EXAMPLES>\nBegin few-shot\nThe following are examples of user"
" queries and model responses using the available tools.\n\nEXAMPLE"
" 1:\nBegin example\n[user]\ntest1\n\n[model]\nresponse1\nEnd"
" example\n\nEnd few-shot\nNow, try to follow these examples and"
" complete the following conversation\n<EXAMPLES>"
)
@pytest.mark.asyncio
async def test_agent_base_example_provider():
class TestExampleProvider(BaseExampleProvider):
def get_examples(self, query: str) -> list[Example]:
if query == "test":
return [
Example(
input=types.Content(
role="user",
parts=[types.Part.from_text(text="test")],
),
output=[
types.Content(
role="model",
parts=[types.Part.from_text(text="response1")],
),
],
)
]
else:
return []
provider = TestExampleProvider()
request = LlmRequest(
model="gemini-1.5-flash",
config=types.GenerateContentConfig(system_instruction=""),
)
agent = Agent(
model="gemini-1.5-flash",
name="agent",
examples=provider,
)
invocation_context = utils.create_invocation_context(
agent=agent, user_content="test"
)
async for _ in examples.request_processor.run_async(
invocation_context,
request,
):
pass
assert (
request.config.system_instruction
== "<EXAMPLES>\nBegin few-shot\nThe following are examples of user"
" queries and model responses using the available tools.\n\nEXAMPLE"
" 1:\nBegin example\n[user]\ntest\n\n[model]\nresponse1\nEnd"
" example\n\nEnd few-shot\nNow, try to follow these examples and"
" complete the following conversation\n<EXAMPLES>"
)

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# Copyright 2025 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 google.adk.agents.llm_agent import Agent
from google.adk.agents.loop_agent import LoopAgent
from google.adk.agents.sequential_agent import SequentialAgent
from google.adk.tools import exit_loop
from google.genai.types import Part
from ... import utils
def transfer_call_part(agent_name: str) -> Part:
return Part.from_function_call(
name='transfer_to_agent', args={'agent_name': agent_name}
)
TRANSFER_RESPONSE_PART = Part.from_function_response(
name='transfer_to_agent', response={}
)
def test_auto_to_auto():
response = [
transfer_call_part('sub_agent_1'),
'response1',
'response2',
]
mockModel = utils.MockModel.create(responses=response)
# root (auto) - sub_agent_1 (auto)
sub_agent_1 = Agent(name='sub_agent_1', model=mockModel)
root_agent = Agent(
name='root_agent',
model=mockModel,
sub_agents=[sub_agent_1],
)
runner = utils.InMemoryRunner(root_agent)
# Asserts the transfer.
assert utils.simplify_events(runner.run('test1')) == [
('root_agent', transfer_call_part('sub_agent_1')),
('root_agent', TRANSFER_RESPONSE_PART),
('sub_agent_1', 'response1'),
]
# sub_agent_1 should still be the current agent.
assert utils.simplify_events(runner.run('test2')) == [
('sub_agent_1', 'response2'),
]
def test_auto_to_single():
response = [
transfer_call_part('sub_agent_1'),
'response1',
'response2',
]
mockModel = utils.MockModel.create(responses=response)
# root (auto) - sub_agent_1 (single)
sub_agent_1 = Agent(
name='sub_agent_1',
model=mockModel,
disallow_transfer_to_parent=True,
disallow_transfer_to_peers=True,
)
root_agent = Agent(
name='root_agent', model=mockModel, sub_agents=[sub_agent_1]
)
runner = utils.InMemoryRunner(root_agent)
# Asserts the responses.
assert utils.simplify_events(runner.run('test1')) == [
('root_agent', transfer_call_part('sub_agent_1')),
('root_agent', TRANSFER_RESPONSE_PART),
('sub_agent_1', 'response1'),
]
# root_agent should still be the current agent, becaues sub_agent_1 is single.
assert utils.simplify_events(runner.run('test2')) == [
('root_agent', 'response2'),
]
def test_auto_to_auto_to_single():
response = [
transfer_call_part('sub_agent_1'),
# sub_agent_1 transfers to sub_agent_1_1.
transfer_call_part('sub_agent_1_1'),
'response1',
'response2',
]
mockModel = utils.MockModel.create(responses=response)
# root (auto) - sub_agent_1 (auto) - sub_agent_1_1 (single)
sub_agent_1_1 = Agent(
name='sub_agent_1_1',
model=mockModel,
disallow_transfer_to_parent=True,
disallow_transfer_to_peers=True,
)
sub_agent_1 = Agent(
name='sub_agent_1', model=mockModel, sub_agents=[sub_agent_1_1]
)
root_agent = Agent(
name='root_agent', model=mockModel, sub_agents=[sub_agent_1]
)
runner = utils.InMemoryRunner(root_agent)
# Asserts the responses.
assert utils.simplify_events(runner.run('test1')) == [
('root_agent', transfer_call_part('sub_agent_1')),
('root_agent', TRANSFER_RESPONSE_PART),
('sub_agent_1', transfer_call_part('sub_agent_1_1')),
('sub_agent_1', TRANSFER_RESPONSE_PART),
('sub_agent_1_1', 'response1'),
]
# sub_agent_1 should still be the current agent. sub_agent_1_1 is single so it should
# not be the current agent, otherwise the conversation will be tied to
# sub_agent_1_1 forever.
assert utils.simplify_events(runner.run('test2')) == [
('sub_agent_1', 'response2'),
]
def test_auto_to_sequential():
response = [
transfer_call_part('sub_agent_1'),
# sub_agent_1 responds directly instead of transfering.
'response1',
'response2',
'response3',
]
mockModel = utils.MockModel.create(responses=response)
# root (auto) - sub_agent_1 (sequential) - sub_agent_1_1 (single)
# \ sub_agent_1_2 (single)
sub_agent_1_1 = Agent(
name='sub_agent_1_1',
model=mockModel,
disallow_transfer_to_parent=True,
disallow_transfer_to_peers=True,
)
sub_agent_1_2 = Agent(
name='sub_agent_1_2',
model=mockModel,
disallow_transfer_to_parent=True,
disallow_transfer_to_peers=True,
)
sub_agent_1 = SequentialAgent(
name='sub_agent_1',
sub_agents=[sub_agent_1_1, sub_agent_1_2],
)
root_agent = Agent(
name='root_agent',
model=mockModel,
sub_agents=[sub_agent_1],
)
runner = utils.InMemoryRunner(root_agent)
# Asserts the transfer.
assert utils.simplify_events(runner.run('test1')) == [
('root_agent', transfer_call_part('sub_agent_1')),
('root_agent', TRANSFER_RESPONSE_PART),
('sub_agent_1_1', 'response1'),
('sub_agent_1_2', 'response2'),
]
# root_agent should still be the current agent because sub_agent_1 is sequential.
assert utils.simplify_events(runner.run('test2')) == [
('root_agent', 'response3'),
]
def test_auto_to_sequential_to_auto():
response = [
transfer_call_part('sub_agent_1'),
# sub_agent_1 responds directly instead of transfering.
'response1',
transfer_call_part('sub_agent_1_2_1'),
'response2',
'response3',
'response4',
]
mockModel = utils.MockModel.create(responses=response)
# root (auto) - sub_agent_1 (seq) - sub_agent_1_1 (single)
# \ sub_agent_1_2 (auto) - sub_agent_1_2_1 (auto)
# \ sub_agent_1_3 (single)
sub_agent_1_1 = Agent(
name='sub_agent_1_1',
model=mockModel,
disallow_transfer_to_parent=True,
disallow_transfer_to_peers=True,
)
sub_agent_1_2_1 = Agent(name='sub_agent_1_2_1', model=mockModel)
sub_agent_1_2 = Agent(
name='sub_agent_1_2',
model=mockModel,
sub_agents=[sub_agent_1_2_1],
)
sub_agent_1_3 = Agent(
name='sub_agent_1_3',
model=mockModel,
disallow_transfer_to_parent=True,
disallow_transfer_to_peers=True,
)
sub_agent_1 = SequentialAgent(
name='sub_agent_1',
sub_agents=[sub_agent_1_1, sub_agent_1_2, sub_agent_1_3],
)
root_agent = Agent(
name='root_agent',
model=mockModel,
sub_agents=[sub_agent_1],
)
runner = utils.InMemoryRunner(root_agent)
# Asserts the transfer.
assert utils.simplify_events(runner.run('test1')) == [
('root_agent', transfer_call_part('sub_agent_1')),
('root_agent', TRANSFER_RESPONSE_PART),
('sub_agent_1_1', 'response1'),
('sub_agent_1_2', transfer_call_part('sub_agent_1_2_1')),
('sub_agent_1_2', TRANSFER_RESPONSE_PART),
('sub_agent_1_2_1', 'response2'),
('sub_agent_1_3', 'response3'),
]
# root_agent should still be the current agent because sub_agent_1 is sequential.
assert utils.simplify_events(runner.run('test2')) == [
('root_agent', 'response4'),
]
def test_auto_to_loop():
response = [
transfer_call_part('sub_agent_1'),
# sub_agent_1 responds directly instead of transfering.
'response1',
'response2',
'response3',
Part.from_function_call(name='exit_loop', args={}),
'response4',
'response5',
]
mockModel = utils.MockModel.create(responses=response)
# root (auto) - sub_agent_1 (loop) - sub_agent_1_1 (single)
# \ sub_agent_1_2 (single)
sub_agent_1_1 = Agent(
name='sub_agent_1_1',
model=mockModel,
disallow_transfer_to_parent=True,
disallow_transfer_to_peers=True,
)
sub_agent_1_2 = Agent(
name='sub_agent_1_2',
model=mockModel,
disallow_transfer_to_parent=True,
disallow_transfer_to_peers=True,
tools=[exit_loop],
)
sub_agent_1 = LoopAgent(
name='sub_agent_1',
sub_agents=[sub_agent_1_1, sub_agent_1_2],
)
root_agent = Agent(
name='root_agent',
model=mockModel,
sub_agents=[sub_agent_1],
)
runner = utils.InMemoryRunner(root_agent)
# Asserts the transfer.
assert utils.simplify_events(runner.run('test1')) == [
# Transfers to sub_agent_1.
('root_agent', transfer_call_part('sub_agent_1')),
('root_agent', TRANSFER_RESPONSE_PART),
# Loops.
('sub_agent_1_1', 'response1'),
('sub_agent_1_2', 'response2'),
('sub_agent_1_1', 'response3'),
# Exits.
('sub_agent_1_2', Part.from_function_call(name='exit_loop', args={})),
(
'sub_agent_1_2',
Part.from_function_response(name='exit_loop', response={}),
),
# root_agent summarizes.
('root_agent', 'response4'),
]
# root_agent should still be the current agent because sub_agent_1 is loop.
assert utils.simplify_events(runner.run('test2')) == [
('root_agent', 'response5'),
]

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# Copyright 2025 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 google.adk.agents import Agent
from google.adk.tools import ToolContext
from google.adk.tools.long_running_tool import LongRunningFunctionTool
from google.genai.types import Part
from ... import utils
def test_async_function():
responses = [
Part.from_function_call(name='increase_by_one', args={'x': 1}),
'response1',
'response2',
'response3',
'response4',
]
mockModel = utils.MockModel.create(responses=responses)
function_called = 0
def increase_by_one(x: int, tool_context: ToolContext) -> int:
nonlocal function_called
function_called += 1
return {'status': 'pending'}
# Calls the first time.
agent = Agent(
name='root_agent',
model=mockModel,
tools=[LongRunningFunctionTool(func=increase_by_one)],
)
runner = utils.InMemoryRunner(agent)
events = runner.run('test1')
# Asserts the requests.
assert len(mockModel.requests) == 2
# 1 item: user content
assert mockModel.requests[0].contents == [
utils.UserContent('test1'),
]
increase_by_one_call = Part.from_function_call(
name='increase_by_one', args={'x': 1}
)
pending_response = Part.from_function_response(
name='increase_by_one', response={'status': 'pending'}
)
assert utils.simplify_contents(mockModel.requests[1].contents) == [
('user', 'test1'),
('model', increase_by_one_call),
('user', pending_response),
]
# Asserts the function calls.
assert function_called == 1
# Asserts the responses.
assert utils.simplify_events(events) == [
(
'root_agent',
Part.from_function_call(name='increase_by_one', args={'x': 1}),
),
(
'root_agent',
Part.from_function_response(
name='increase_by_one', response={'status': 'pending'}
),
),
('root_agent', 'response1'),
]
assert events[0].long_running_tool_ids
# Updates with another pending progress.
still_waiting_response = Part.from_function_response(
name='increase_by_one', response={'status': 'still waiting'}
)
events = runner.run(utils.UserContent(still_waiting_response))
# We have one new request.
assert len(mockModel.requests) == 3
assert utils.simplify_contents(mockModel.requests[2].contents) == [
('user', 'test1'),
('model', increase_by_one_call),
('user', still_waiting_response),
]
assert utils.simplify_events(events) == [('root_agent', 'response2')]
# Calls when the result is ready.
result_response = Part.from_function_response(
name='increase_by_one', response={'result': 2}
)
events = runner.run(utils.UserContent(result_response))
# We have one new request.
assert len(mockModel.requests) == 4
assert utils.simplify_contents(mockModel.requests[3].contents) == [
('user', 'test1'),
('model', increase_by_one_call),
('user', result_response),
]
assert utils.simplify_events(events) == [('root_agent', 'response3')]
# Calls when the result is ready. Here we still accept the result and do
# another summarization. Whether this is the right behavior is TBD.
another_result_response = Part.from_function_response(
name='increase_by_one', response={'result': 3}
)
events = runner.run(utils.UserContent(another_result_response))
# We have one new request.
assert len(mockModel.requests) == 5
assert utils.simplify_contents(mockModel.requests[4].contents) == [
('user', 'test1'),
('model', increase_by_one_call),
('user', another_result_response),
]
assert utils.simplify_events(events) == [('root_agent', 'response4')]
# At the end, function_called should still be 1.
assert function_called == 1
def test_async_function_with_none_response():
responses = [
Part.from_function_call(name='increase_by_one', args={'x': 1}),
'response1',
'response2',
'response3',
'response4',
]
mockModel = utils.MockModel.create(responses=responses)
function_called = 0
def increase_by_one(x: int, tool_context: ToolContext) -> int:
nonlocal function_called
function_called += 1
return 'pending'
# Calls the first time.
agent = Agent(
name='root_agent',
model=mockModel,
tools=[LongRunningFunctionTool(func=increase_by_one)],
)
runner = utils.InMemoryRunner(agent)
events = runner.run('test1')
# Asserts the requests.
assert len(mockModel.requests) == 2
# 1 item: user content
assert mockModel.requests[0].contents == [
utils.UserContent('test1'),
]
increase_by_one_call = Part.from_function_call(
name='increase_by_one', args={'x': 1}
)
assert utils.simplify_contents(mockModel.requests[1].contents) == [
('user', 'test1'),
('model', increase_by_one_call),
(
'user',
Part.from_function_response(
name='increase_by_one', response={'result': 'pending'}
),
),
]
# Asserts the function calls.
assert function_called == 1
# Asserts the responses.
assert utils.simplify_events(events) == [
(
'root_agent',
Part.from_function_call(name='increase_by_one', args={'x': 1}),
),
(
'root_agent',
Part.from_function_response(
name='increase_by_one', response={'result': 'pending'}
),
),
('root_agent', 'response1'),
]
# Updates with another pending progress.
still_waiting_response = Part.from_function_response(
name='increase_by_one', response={'status': 'still waiting'}
)
events = runner.run(utils.UserContent(still_waiting_response))
# We have one new request.
assert len(mockModel.requests) == 3
assert utils.simplify_contents(mockModel.requests[2].contents) == [
('user', 'test1'),
('model', increase_by_one_call),
('user', still_waiting_response),
]
assert utils.simplify_events(events) == [('root_agent', 'response2')]
# Calls when the result is ready.
result_response = Part.from_function_response(
name='increase_by_one', response={'result': 2}
)
events = runner.run(utils.UserContent(result_response))
# We have one new request.
assert len(mockModel.requests) == 4
assert utils.simplify_contents(mockModel.requests[3].contents) == [
('user', 'test1'),
('model', increase_by_one_call),
('user', result_response),
]
assert utils.simplify_events(events) == [('root_agent', 'response3')]
# Calls when the result is ready. Here we still accept the result and do
# another summarization. Whether this is the right behavior is TBD.
another_result_response = Part.from_function_response(
name='increase_by_one', response={'result': 3}
)
events = runner.run(utils.UserContent(another_result_response))
# We have one new request.
assert len(mockModel.requests) == 5
assert utils.simplify_contents(mockModel.requests[4].contents) == [
('user', 'test1'),
('model', increase_by_one_call),
('user', another_result_response),
]
assert utils.simplify_events(events) == [('root_agent', 'response4')]
# At the end, function_called should still be 1.
assert function_called == 1

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# Copyright 2025 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 typing import Any
from typing import Optional
from fastapi.openapi.models import OAuth2
from fastapi.openapi.models import OAuthFlowAuthorizationCode
from fastapi.openapi.models import OAuthFlows
from google.adk.agents import Agent
from google.adk.auth import AuthConfig
from google.adk.auth import AuthCredential
from google.adk.auth import AuthCredentialTypes
from google.adk.auth import OAuth2Auth
from google.adk.flows.llm_flows import functions
from google.adk.tools import AuthToolArguments
from google.adk.tools import ToolContext
from google.genai import types
from ... import utils
def function_call(function_call_id, name, args: dict[str, Any]) -> types.Part:
part = types.Part.from_function_call(name=name, args=args)
part.function_call.id = function_call_id
return part
def test_function_request_euc():
responses = [
[
types.Part.from_function_call(name='call_external_api1', args={}),
types.Part.from_function_call(name='call_external_api2', args={}),
],
[
types.Part.from_text(text='response1'),
],
]
auth_config1 = AuthConfig(
auth_scheme=OAuth2(
flows=OAuthFlows(
authorizationCode=OAuthFlowAuthorizationCode(
authorizationUrl='https://accounts.google.com/o/oauth2/auth',
tokenUrl='https://oauth2.googleapis.com/token',
scopes={
'https://www.googleapis.com/auth/calendar': (
'See, edit, share, and permanently delete all the'
' calendars you can access using Google Calendar'
)
},
)
)
),
raw_auth_credential=AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id='oauth_client_id_1',
client_secret='oauth_client_secret1',
),
),
)
auth_config2 = AuthConfig(
auth_scheme=OAuth2(
flows=OAuthFlows(
authorizationCode=OAuthFlowAuthorizationCode(
authorizationUrl='https://accounts.google.com/o/oauth2/auth',
tokenUrl='https://oauth2.googleapis.com/token',
scopes={
'https://www.googleapis.com/auth/calendar': (
'See, edit, share, and permanently delete all the'
' calendars you can access using Google Calendar'
)
},
)
)
),
raw_auth_credential=AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id='oauth_client_id_2',
client_secret='oauth_client_secret2',
),
),
)
mock_model = utils.MockModel.create(responses=responses)
def call_external_api1(tool_context: ToolContext) -> Optional[int]:
tool_context.request_credential(auth_config1)
def call_external_api2(tool_context: ToolContext) -> Optional[int]:
tool_context.request_credential(auth_config2)
agent = Agent(
name='root_agent',
model=mock_model,
tools=[call_external_api1, call_external_api2],
)
runner = utils.InMemoryRunner(agent)
events = runner.run('test')
assert events[0].content.parts[0].function_call is not None
assert events[0].content.parts[1].function_call is not None
auth_configs = list(events[2].actions.requested_auth_configs.values())
exchanged_auth_config1 = auth_configs[0]
exchanged_auth_config2 = auth_configs[1]
assert exchanged_auth_config1.auth_scheme == auth_config1.auth_scheme
assert (
exchanged_auth_config1.raw_auth_credential
== auth_config1.raw_auth_credential
)
assert (
exchanged_auth_config1.exchanged_auth_credential.oauth2.auth_uri
is not None
)
assert exchanged_auth_config2.auth_scheme == auth_config2.auth_scheme
assert (
exchanged_auth_config2.raw_auth_credential
== auth_config2.raw_auth_credential
)
assert (
exchanged_auth_config2.exchanged_auth_credential.oauth2.auth_uri
is not None
)
function_call_ids = list(events[2].actions.requested_auth_configs.keys())
for idx, part in enumerate(events[1].content.parts):
reqeust_euc_function_call = part.function_call
assert reqeust_euc_function_call is not None
assert (
reqeust_euc_function_call.name
== functions.REQUEST_EUC_FUNCTION_CALL_NAME
)
args = AuthToolArguments.model_validate(reqeust_euc_function_call.args)
assert args.function_call_id == function_call_ids[idx]
args.auth_config.auth_scheme.model_extra.clear()
assert args.auth_config.auth_scheme == auth_configs[idx].auth_scheme
assert (
args.auth_config.raw_auth_credential
== auth_configs[idx].raw_auth_credential
)
def test_function_get_auth_response():
id_1 = 'id_1'
id_2 = 'id_2'
responses = [
[
function_call(id_1, 'call_external_api1', {}),
function_call(id_2, 'call_external_api2', {}),
],
[
types.Part.from_text(text='response1'),
],
[
types.Part.from_text(text='response2'),
],
]
mock_model = utils.MockModel.create(responses=responses)
function_invoked = 0
auth_config1 = AuthConfig(
auth_scheme=OAuth2(
flows=OAuthFlows(
authorizationCode=OAuthFlowAuthorizationCode(
authorizationUrl='https://accounts.google.com/o/oauth2/auth',
tokenUrl='https://oauth2.googleapis.com/token',
scopes={
'https://www.googleapis.com/auth/calendar': (
'See, edit, share, and permanently delete all the'
' calendars you can access using Google Calendar'
)
},
)
)
),
raw_auth_credential=AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id='oauth_client_id_1',
client_secret='oauth_client_secret1',
),
),
)
auth_config2 = AuthConfig(
auth_scheme=OAuth2(
flows=OAuthFlows(
authorizationCode=OAuthFlowAuthorizationCode(
authorizationUrl='https://accounts.google.com/o/oauth2/auth',
tokenUrl='https://oauth2.googleapis.com/token',
scopes={
'https://www.googleapis.com/auth/calendar': (
'See, edit, share, and permanently delete all the'
' calendars you can access using Google Calendar'
)
},
)
)
),
raw_auth_credential=AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id='oauth_client_id_2',
client_secret='oauth_client_secret2',
),
),
)
auth_response1 = AuthConfig(
auth_scheme=OAuth2(
flows=OAuthFlows(
authorizationCode=OAuthFlowAuthorizationCode(
authorizationUrl='https://accounts.google.com/o/oauth2/auth',
tokenUrl='https://oauth2.googleapis.com/token',
scopes={
'https://www.googleapis.com/auth/calendar': (
'See, edit, share, and permanently delete all the'
' calendars you can access using Google Calendar'
)
},
)
)
),
raw_auth_credential=AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id='oauth_client_id_1',
client_secret='oauth_client_secret1',
),
),
exchanged_auth_credential=AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id='oauth_client_id_1',
client_secret='oauth_client_secret1',
token={'access_token': 'token1'},
),
),
)
auth_response2 = AuthConfig(
auth_scheme=OAuth2(
flows=OAuthFlows(
authorizationCode=OAuthFlowAuthorizationCode(
authorizationUrl='https://accounts.google.com/o/oauth2/auth',
tokenUrl='https://oauth2.googleapis.com/token',
scopes={
'https://www.googleapis.com/auth/calendar': (
'See, edit, share, and permanently delete all the'
' calendars you can access using Google Calendar'
)
},
)
)
),
raw_auth_credential=AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id='oauth_client_id_2',
client_secret='oauth_client_secret2',
),
),
exchanged_auth_credential=AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id='oauth_client_id_2',
client_secret='oauth_client_secret2',
token={'access_token': 'token2'},
),
),
)
def call_external_api1(tool_context: ToolContext) -> int:
nonlocal function_invoked
function_invoked += 1
auth_response = tool_context.get_auth_response(auth_config1)
if not auth_response:
tool_context.request_credential(auth_config1)
return
assert auth_response == auth_response1.exchanged_auth_credential
return 1
def call_external_api2(tool_context: ToolContext) -> int:
nonlocal function_invoked
function_invoked += 1
auth_response = tool_context.get_auth_response(auth_config2)
if not auth_response:
tool_context.request_credential(auth_config2)
return
assert auth_response == auth_response2.exchanged_auth_credential
return 2
agent = Agent(
name='root_agent',
model=mock_model,
tools=[call_external_api1, call_external_api2],
)
runner = utils.InMemoryRunner(agent)
runner.run('test')
request_euc_function_call_event = runner.session.events[-3]
function_response1 = types.FunctionResponse(
name=request_euc_function_call_event.content.parts[0].function_call.name,
response=auth_response1.model_dump(),
)
function_response1.id = request_euc_function_call_event.content.parts[
0
].function_call.id
function_response2 = types.FunctionResponse(
name=request_euc_function_call_event.content.parts[1].function_call.name,
response=auth_response2.model_dump(),
)
function_response2.id = request_euc_function_call_event.content.parts[
1
].function_call.id
runner.run(
new_message=types.Content(
role='user',
parts=[
types.Part(function_response=function_response1),
types.Part(function_response=function_response2),
],
),
)
assert function_invoked == 4
reqeust = mock_model.requests[-1]
content = reqeust.contents[-1]
parts = content.parts
assert len(parts) == 2
assert parts[0].function_response.name == 'call_external_api1'
assert parts[0].function_response.response == {'result': 1}
assert parts[1].function_response.name == 'call_external_api2'
assert parts[1].function_response.response == {'result': 2}

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@@ -0,0 +1,93 @@
# Copyright 2025 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 typing import Any
from google.adk.agents import Agent
from google.genai import types
from ... import utils
def function_call(args: dict[str, Any]) -> types.Part:
return types.Part.from_function_call(name='increase_by_one', args=args)
def function_response(response: dict[str, Any]) -> types.Part:
return types.Part.from_function_response(
name='increase_by_one', response=response
)
def test_sequential_calls():
responses = [
function_call({'x': 1}),
function_call({'x': 2}),
function_call({'x': 3}),
'response1',
]
mockModel = utils.MockModel.create(responses=responses)
function_called = 0
def increase_by_one(x: int) -> int:
nonlocal function_called
function_called += 1
return x + 1
agent = Agent(name='root_agent', model=mockModel, tools=[increase_by_one])
runner = utils.InMemoryRunner(agent)
result = utils.simplify_events(runner.run('test'))
assert result == [
('root_agent', function_call({'x': 1})),
('root_agent', function_response({'result': 2})),
('root_agent', function_call({'x': 2})),
('root_agent', function_response({'result': 3})),
('root_agent', function_call({'x': 3})),
('root_agent', function_response({'result': 4})),
('root_agent', 'response1'),
]
# Asserts the requests.
assert len(mockModel.requests) == 4
# 1 item: user content
assert utils.simplify_contents(mockModel.requests[0].contents) == [
('user', 'test')
]
# 3 items: user content, functaion call / response for the 1st call
assert utils.simplify_contents(mockModel.requests[1].contents) == [
('user', 'test'),
('model', function_call({'x': 1})),
('user', function_response({'result': 2})),
]
# 5 items: user content, functaion call / response for two calls
assert utils.simplify_contents(mockModel.requests[2].contents) == [
('user', 'test'),
('model', function_call({'x': 1})),
('user', function_response({'result': 2})),
('model', function_call({'x': 2})),
('user', function_response({'result': 3})),
]
# 7 items: user content, functaion call / response for three calls
assert utils.simplify_contents(mockModel.requests[3].contents) == [
('user', 'test'),
('model', function_call({'x': 1})),
('user', function_response({'result': 2})),
('model', function_call({'x': 2})),
('user', function_response({'result': 3})),
('model', function_call({'x': 3})),
('user', function_response({'result': 4})),
]
# Asserts the function calls.
assert function_called == 3

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@@ -0,0 +1,258 @@
# Copyright 2025 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 typing import Any
from typing import AsyncGenerator
from typing import Callable
from google.adk.agents import Agent
from google.adk.tools import ToolContext
from google.adk.tools.function_tool import FunctionTool
from google.genai import types
import pytest
from ... import utils
def test_simple_function():
function_call_1 = types.Part.from_function_call(
name='increase_by_one', args={'x': 1}
)
function_respones_2 = types.Part.from_function_response(
name='increase_by_one', response={'result': 2}
)
responses: list[types.Content] = [
function_call_1,
'response1',
'response2',
'response3',
'response4',
]
function_called = 0
mock_model = utils.MockModel.create(responses=responses)
def increase_by_one(x: int) -> int:
nonlocal function_called
function_called += 1
return x + 1
agent = Agent(name='root_agent', model=mock_model, tools=[increase_by_one])
runner = utils.InMemoryRunner(agent)
assert utils.simplify_events(runner.run('test')) == [
('root_agent', function_call_1),
('root_agent', function_respones_2),
('root_agent', 'response1'),
]
# Asserts the requests.
assert utils.simplify_contents(mock_model.requests[0].contents) == [
('user', 'test')
]
assert utils.simplify_contents(mock_model.requests[1].contents) == [
('user', 'test'),
('model', function_call_1),
('user', function_respones_2),
]
# Asserts the function calls.
assert function_called == 1
@pytest.mark.asyncio
async def test_async_function():
function_calls = [
types.Part.from_function_call(name='increase_by_one', args={'x': 1}),
types.Part.from_function_call(name='multiple_by_two', args={'x': 2}),
types.Part.from_function_call(name='multiple_by_two_sync', args={'x': 3}),
]
function_responses = [
types.Part.from_function_response(
name='increase_by_one', response={'result': 2}
),
types.Part.from_function_response(
name='multiple_by_two', response={'result': 4}
),
types.Part.from_function_response(
name='multiple_by_two_sync', response={'result': 6}
),
]
responses: list[types.Content] = [
function_calls,
'response1',
'response2',
'response3',
'response4',
]
function_called = 0
mock_model = utils.MockModel.create(responses=responses)
async def increase_by_one(x: int) -> int:
nonlocal function_called
function_called += 1
return x + 1
async def multiple_by_two(x: int) -> int:
nonlocal function_called
function_called += 1
return x * 2
def multiple_by_two_sync(x: int) -> int:
nonlocal function_called
function_called += 1
return x * 2
agent = Agent(
name='root_agent',
model=mock_model,
tools=[increase_by_one, multiple_by_two, multiple_by_two_sync],
)
runner = utils.TestInMemoryRunner(agent)
events = await runner.run_async_with_new_session('test')
assert utils.simplify_events(events) == [
('root_agent', function_calls),
('root_agent', function_responses),
('root_agent', 'response1'),
]
# Asserts the requests.
assert utils.simplify_contents(mock_model.requests[0].contents) == [
('user', 'test')
]
assert utils.simplify_contents(mock_model.requests[1].contents) == [
('user', 'test'),
('model', function_calls),
('user', function_responses),
]
# Asserts the function calls.
assert function_called == 3
@pytest.mark.asyncio
async def test_function_tool():
function_calls = [
types.Part.from_function_call(name='increase_by_one', args={'x': 1}),
types.Part.from_function_call(name='multiple_by_two', args={'x': 2}),
types.Part.from_function_call(name='multiple_by_two_sync', args={'x': 3}),
]
function_responses = [
types.Part.from_function_response(
name='increase_by_one', response={'result': 2}
),
types.Part.from_function_response(
name='multiple_by_two', response={'result': 4}
),
types.Part.from_function_response(
name='multiple_by_two_sync', response={'result': 6}
),
]
responses: list[types.Content] = [
function_calls,
'response1',
'response2',
'response3',
'response4',
]
function_called = 0
mock_model = utils.MockModel.create(responses=responses)
async def increase_by_one(x: int) -> int:
nonlocal function_called
function_called += 1
return x + 1
async def multiple_by_two(x: int) -> int:
nonlocal function_called
function_called += 1
return x * 2
def multiple_by_two_sync(x: int) -> int:
nonlocal function_called
function_called += 1
return x * 2
class TestTool(FunctionTool):
def __init__(self, func: Callable[..., Any]):
super().__init__(func=func)
wrapped_increase_by_one = TestTool(func=increase_by_one)
agent = Agent(
name='root_agent',
model=mock_model,
tools=[wrapped_increase_by_one, multiple_by_two, multiple_by_two_sync],
)
runner = utils.TestInMemoryRunner(agent)
events = await runner.run_async_with_new_session('test')
assert utils.simplify_events(events) == [
('root_agent', function_calls),
('root_agent', function_responses),
('root_agent', 'response1'),
]
# Asserts the requests.
assert utils.simplify_contents(mock_model.requests[0].contents) == [
('user', 'test')
]
assert utils.simplify_contents(mock_model.requests[1].contents) == [
('user', 'test'),
('model', function_calls),
('user', function_responses),
]
# Asserts the function calls.
assert function_called == 3
def test_update_state():
mock_model = utils.MockModel.create(
responses=[
types.Part.from_function_call(name='update_state', args={}),
'response1',
]
)
def update_state(tool_context: ToolContext):
tool_context.state['x'] = 1
agent = Agent(name='root_agent', model=mock_model, tools=[update_state])
runner = utils.InMemoryRunner(agent)
runner.run('test')
assert runner.session.state['x'] == 1
def test_function_call_id():
responses = [
types.Part.from_function_call(name='increase_by_one', args={'x': 1}),
'response1',
]
mock_model = utils.MockModel.create(responses=responses)
def increase_by_one(x: int) -> int:
return x + 1
agent = Agent(name='root_agent', model=mock_model, tools=[increase_by_one])
runner = utils.InMemoryRunner(agent)
events = runner.run('test')
for reqeust in mock_model.requests:
for content in reqeust.contents:
for part in content.parts:
if part.function_call:
assert part.function_call.id is None
if part.function_response:
assert part.function_response.id is None
assert events[0].content.parts[0].function_call.id.startswith('adk-')
assert events[1].content.parts[0].function_response.id.startswith('adk-')

View File

@@ -0,0 +1,66 @@
# Copyright 2025 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 google.adk.agents import Agent
from google.adk.flows.llm_flows import identity
from google.adk.models import LlmRequest
from google.genai import types
import pytest
from ... import utils
@pytest.mark.asyncio
async def test_no_description():
request = LlmRequest(
model="gemini-1.5-flash",
config=types.GenerateContentConfig(system_instruction=""),
)
agent = Agent(model="gemini-1.5-flash", name="agent")
invocation_context = utils.create_invocation_context(agent=agent)
async for _ in identity.request_processor.run_async(
invocation_context,
request,
):
pass
assert request.config.system_instruction == (
"""You are an agent. Your internal name is "agent"."""
)
@pytest.mark.asyncio
async def test_with_description():
request = LlmRequest(
model="gemini-1.5-flash",
config=types.GenerateContentConfig(system_instruction=""),
)
agent = Agent(
model="gemini-1.5-flash",
name="agent",
description="test description",
)
invocation_context = utils.create_invocation_context(agent=agent)
async for _ in identity.request_processor.run_async(
invocation_context,
request,
):
pass
assert request.config.system_instruction == "\n\n".join([
'You are an agent. Your internal name is "agent".',
' The description about you is "test description"',
])

View File

@@ -0,0 +1,164 @@
# Copyright 2025 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 google.adk.agents import Agent
from google.adk.agents.readonly_context import ReadonlyContext
from google.adk.flows.llm_flows import instructions
from google.adk.models import LlmRequest
from google.adk.sessions import Session
from google.genai import types
import pytest
from ... import utils
@pytest.mark.asyncio
async def test_build_system_instruction():
request = LlmRequest(
model="gemini-1.5-flash",
config=types.GenerateContentConfig(system_instruction=""),
)
agent = Agent(
model="gemini-1.5-flash",
name="agent",
instruction=("""Use the echo_info tool to echo { customerId }, \
{{customer_int }, { non-identifier-float}}, \
{'key1': 'value1'} and {{'key2': 'value2'}}."""),
)
invocation_context = utils.create_invocation_context(agent=agent)
invocation_context.session = Session(
app_name="test_app",
user_id="test_user",
id="test_id",
state={"customerId": "1234567890", "customer_int": 30},
)
async for _ in instructions.request_processor.run_async(
invocation_context,
request,
):
pass
assert request.config.system_instruction == (
"""Use the echo_info tool to echo 1234567890, 30, \
{ non-identifier-float}}, {'key1': 'value1'} and {{'key2': 'value2'}}."""
)
@pytest.mark.asyncio
async def test_function_system_instruction():
def build_function_instruction(readonly_context: ReadonlyContext) -> str:
return (
"This is the function agent instruction for invocation:"
f" {readonly_context.invocation_id}."
)
request = LlmRequest(
model="gemini-1.5-flash",
config=types.GenerateContentConfig(system_instruction=""),
)
agent = Agent(
model="gemini-1.5-flash",
name="agent",
instruction=build_function_instruction,
)
invocation_context = utils.create_invocation_context(agent=agent)
invocation_context.session = Session(
app_name="test_app",
user_id="test_user",
id="test_id",
state={"customerId": "1234567890", "customer_int": 30},
)
async for _ in instructions.request_processor.run_async(
invocation_context,
request,
):
pass
assert request.config.system_instruction == (
"This is the function agent instruction for invocation: test_id."
)
@pytest.mark.asyncio
async def test_global_system_instruction():
sub_agent = Agent(
model="gemini-1.5-flash",
name="sub_agent",
instruction="This is the sub agent instruction.",
)
root_agent = Agent(
model="gemini-1.5-flash",
name="root_agent",
global_instruction="This is the global instruction.",
sub_agents=[sub_agent],
)
request = LlmRequest(
model="gemini-1.5-flash",
config=types.GenerateContentConfig(system_instruction=""),
)
invocation_context = utils.create_invocation_context(agent=sub_agent)
invocation_context.session = Session(
app_name="test_app",
user_id="test_user",
id="test_id",
state={"customerId": "1234567890", "customer_int": 30},
)
async for _ in instructions.request_processor.run_async(
invocation_context,
request,
):
pass
assert request.config.system_instruction == (
"This is the global instruction.\n\nThis is the sub agent instruction."
)
@pytest.mark.asyncio
async def test_build_system_instruction_with_namespace():
request = LlmRequest(
model="gemini-1.5-flash",
config=types.GenerateContentConfig(system_instruction=""),
)
agent = Agent(
model="gemini-1.5-flash",
name="agent",
instruction=(
"""Use the echo_info tool to echo { customerId }, {app:key}, {user:key}, {a:key}."""
),
)
invocation_context = utils.create_invocation_context(agent=agent)
invocation_context.session = Session(
app_name="test_app",
user_id="test_user",
id="test_id",
state={
"customerId": "1234567890",
"app:key": "app_value",
"user:key": "user_value",
},
)
async for _ in instructions.request_processor.run_async(
invocation_context,
request,
):
pass
assert request.config.system_instruction == (
"""Use the echo_info tool to echo 1234567890, app_value, user_value, {a:key}."""
)

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@@ -0,0 +1,142 @@
# Copyright 2025 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 typing import Any
from typing import Optional
from google.adk.agents import Agent
from google.adk.agents.callback_context import CallbackContext
from google.adk.models import LlmRequest
from google.adk.models import LlmResponse
from google.genai import types
from pydantic import BaseModel
import pytest
from ... import utils
class MockBeforeModelCallback(BaseModel):
mock_response: str
def __call__(
self,
callback_context: CallbackContext,
llm_request: LlmRequest,
) -> LlmResponse:
return LlmResponse(
content=utils.ModelContent(
[types.Part.from_text(text=self.mock_response)]
)
)
class MockAfterModelCallback(BaseModel):
mock_response: str
def __call__(
self,
callback_context: CallbackContext,
llm_response: LlmResponse,
) -> LlmResponse:
return LlmResponse(
content=utils.ModelContent(
[types.Part.from_text(text=self.mock_response)]
)
)
def noop_callback(**kwargs) -> Optional[LlmResponse]:
pass
def test_before_model_callback():
responses = ['model_response']
mock_model = utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
before_model_callback=MockBeforeModelCallback(
mock_response='before_model_callback'
),
)
runner = utils.InMemoryRunner(agent)
assert utils.simplify_events(runner.run('test')) == [
('root_agent', 'before_model_callback'),
]
def test_before_model_callback_noop():
responses = ['model_response']
mock_model = utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
before_model_callback=noop_callback,
)
runner = utils.InMemoryRunner(agent)
assert utils.simplify_events(runner.run('test')) == [
('root_agent', 'model_response'),
]
def test_before_model_callback_end():
responses = ['model_response']
mock_model = utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
before_model_callback=MockBeforeModelCallback(
mock_response='before_model_callback',
),
)
runner = utils.InMemoryRunner(agent)
assert utils.simplify_events(runner.run('test')) == [
('root_agent', 'before_model_callback'),
]
def test_after_model_callback():
responses = ['model_response']
mock_model = utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
after_model_callback=MockAfterModelCallback(
mock_response='after_model_callback'
),
)
runner = utils.InMemoryRunner(agent)
assert utils.simplify_events(runner.run('test')) == [
('root_agent', 'after_model_callback'),
]
@pytest.mark.asyncio
async def test_after_model_callback_noop():
responses = ['model_response']
mock_model = utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
after_model_callback=noop_callback,
)
runner = utils.TestInMemoryRunner(agent)
assert utils.simplify_events(
await runner.run_async_with_new_session('test')
) == [('root_agent', 'model_response')]

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@@ -0,0 +1,46 @@
# Copyright 2025 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 google.adk.agents import Agent
from google.adk.tools import ToolContext
from google.genai.types import Part
from pydantic import BaseModel
from ... import utils
def test_output_schema():
class CustomOutput(BaseModel):
custom_field: str
response = [
'response1',
]
mockModel = utils.MockModel.create(responses=response)
root_agent = Agent(
name='root_agent',
model=mockModel,
output_schema=CustomOutput,
disallow_transfer_to_parent=True,
disallow_transfer_to_peers=True,
)
runner = utils.InMemoryRunner(root_agent)
assert utils.simplify_events(runner.run('test1')) == [
('root_agent', 'response1'),
]
assert len(mockModel.requests) == 1
assert mockModel.requests[0].config.response_schema == CustomOutput
assert mockModel.requests[0].config.response_mime_type == 'application/json'

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@@ -0,0 +1,269 @@
# Copyright 2025 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 typing import Any
from google.adk.agents import Agent
from google.adk.tools import BaseTool
from google.adk.tools import ToolContext
from google.genai import types
from google.genai.types import Part
from pydantic import BaseModel
from ... import utils
def simple_function(input_str: str) -> str:
return {'result': input_str}
class MockBeforeToolCallback(BaseModel):
mock_response: dict[str, object]
modify_tool_request: bool = False
def __call__(
self,
tool: BaseTool,
args: dict[str, Any],
tool_context: ToolContext,
) -> dict[str, object]:
if self.modify_tool_request:
args['input_str'] = 'modified_input'
return None
return self.mock_response
class MockAfterToolCallback(BaseModel):
mock_response: dict[str, object]
modify_tool_request: bool = False
modify_tool_response: bool = False
def __call__(
self,
tool: BaseTool,
args: dict[str, Any],
tool_context: ToolContext,
tool_response: dict[str, Any] = None,
) -> dict[str, object]:
if self.modify_tool_request:
args['input_str'] = 'modified_input'
return None
if self.modify_tool_response:
tool_response['result'] = 'modified_output'
return tool_response
return self.mock_response
def noop_callback(
**kwargs,
) -> dict[str, object]:
pass
def test_before_tool_callback():
responses = [
types.Part.from_function_call(name='simple_function', args={}),
'response1',
]
mock_model = utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
before_tool_callback=MockBeforeToolCallback(
mock_response={'test': 'before_tool_callback'}
),
tools=[simple_function],
)
runner = utils.InMemoryRunner(agent)
assert utils.simplify_events(runner.run('test')) == [
('root_agent', Part.from_function_call(name='simple_function', args={})),
(
'root_agent',
Part.from_function_response(
name='simple_function', response={'test': 'before_tool_callback'}
),
),
('root_agent', 'response1'),
]
def test_before_tool_callback_noop():
responses = [
types.Part.from_function_call(
name='simple_function', args={'input_str': 'simple_function_call'}
),
'response1',
]
mock_model = utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
before_tool_callback=noop_callback,
tools=[simple_function],
)
runner = utils.InMemoryRunner(agent)
assert utils.simplify_events(runner.run('test')) == [
(
'root_agent',
Part.from_function_call(
name='simple_function', args={'input_str': 'simple_function_call'}
),
),
(
'root_agent',
Part.from_function_response(
name='simple_function',
response={'result': 'simple_function_call'},
),
),
('root_agent', 'response1'),
]
def test_before_tool_callback_modify_tool_request():
responses = [
types.Part.from_function_call(name='simple_function', args={}),
'response1',
]
mock_model = utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
before_tool_callback=MockBeforeToolCallback(
mock_response={'test': 'before_tool_callback'},
modify_tool_request=True,
),
tools=[simple_function],
)
runner = utils.InMemoryRunner(agent)
assert utils.simplify_events(runner.run('test')) == [
('root_agent', Part.from_function_call(name='simple_function', args={})),
(
'root_agent',
Part.from_function_response(
name='simple_function',
response={'result': 'modified_input'},
),
),
('root_agent', 'response1'),
]
def test_after_tool_callback():
responses = [
types.Part.from_function_call(
name='simple_function', args={'input_str': 'simple_function_call'}
),
'response1',
]
mock_model = utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
after_tool_callback=MockAfterToolCallback(
mock_response={'test': 'after_tool_callback'}
),
tools=[simple_function],
)
runner = utils.InMemoryRunner(agent)
assert utils.simplify_events(runner.run('test')) == [
(
'root_agent',
Part.from_function_call(
name='simple_function', args={'input_str': 'simple_function_call'}
),
),
(
'root_agent',
Part.from_function_response(
name='simple_function', response={'test': 'after_tool_callback'}
),
),
('root_agent', 'response1'),
]
def test_after_tool_callback_noop():
responses = [
types.Part.from_function_call(
name='simple_function', args={'input_str': 'simple_function_call'}
),
'response1',
]
mock_model = utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
after_tool_callback=noop_callback,
tools=[simple_function],
)
runner = utils.InMemoryRunner(agent)
assert utils.simplify_events(runner.run('test')) == [
(
'root_agent',
Part.from_function_call(
name='simple_function', args={'input_str': 'simple_function_call'}
),
),
(
'root_agent',
Part.from_function_response(
name='simple_function',
response={'result': 'simple_function_call'},
),
),
('root_agent', 'response1'),
]
def test_after_tool_callback_modify_tool_response():
responses = [
types.Part.from_function_call(
name='simple_function', args={'input_str': 'simple_function_call'}
),
'response1',
]
mock_model = utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
after_tool_callback=MockAfterToolCallback(
mock_response={'result': 'after_tool_callback'},
modify_tool_response=True,
),
tools=[simple_function],
)
runner = utils.InMemoryRunner(agent)
assert utils.simplify_events(runner.run('test')) == [
(
'root_agent',
Part.from_function_call(
name='simple_function', args={'input_str': 'simple_function_call'}
),
),
(
'root_agent',
Part.from_function_response(
name='simple_function',
response={'result': 'modified_output'},
),
),
('root_agent', 'response1'),
]

View File

@@ -0,0 +1,14 @@
# Copyright 2025 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.

View File

@@ -0,0 +1,224 @@
# Copyright 2025 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.
import sys
from unittest import mock
from google.adk import version
from google.adk.models.gemini_llm_connection import GeminiLlmConnection
from google.adk.models.google_llm import Gemini
from google.adk.models.llm_request import LlmRequest
from google.adk.models.llm_response import LlmResponse
from google.genai import types
from google.genai.types import Content
from google.genai.types import Part
import pytest
@pytest.fixture
def generate_content_response():
return types.GenerateContentResponse(
candidates=[
types.Candidate(
content=Content(
role="model",
parts=[Part.from_text(text="Hello, how can I help you?")],
),
finish_reason=types.FinishReason.STOP,
)
]
)
@pytest.fixture
def gemini_llm():
return Gemini(model="gemini-1.5-flash")
@pytest.fixture
def llm_request():
return LlmRequest(
model="gemini-1.5-flash",
contents=[Content(role="user", parts=[Part.from_text(text="Hello")])],
config=types.GenerateContentConfig(
temperature=0.1,
response_modalities=[types.Modality.TEXT],
system_instruction="You are a helpful assistant",
),
)
def test_supported_models():
models = Gemini.supported_models()
assert len(models) == 3
assert models[0] == r"gemini-.*"
assert models[1] == r"projects\/.+\/locations\/.+\/endpoints\/.+"
assert (
models[2]
== r"projects\/.+\/locations\/.+\/publishers\/google\/models\/gemini.+"
)
def test_client_version_header():
model = Gemini(model="gemini-1.5-flash")
client = model.api_client
expected_header = (
f"google-adk/{version.__version__}"
f" gl-python/{sys.version.split()[0]} google-genai-sdk/"
)
assert (
expected_header
in client._api_client._http_options.headers["x-goog-api-client"]
)
assert (
expected_header in client._api_client._http_options.headers["user-agent"]
)
def test_maybe_append_user_content(gemini_llm, llm_request):
# Test with user content already present
gemini_llm._maybe_append_user_content(llm_request)
assert len(llm_request.contents) == 1
# Test with model content as the last message
llm_request.contents.append(
Content(role="model", parts=[Part.from_text(text="Response")])
)
gemini_llm._maybe_append_user_content(llm_request)
assert len(llm_request.contents) == 3
assert llm_request.contents[-1].role == "user"
assert "Continue processing" in llm_request.contents[-1].parts[0].text
@pytest.mark.asyncio
async def test_generate_content_async(
gemini_llm, llm_request, generate_content_response
):
with mock.patch.object(gemini_llm, "api_client") as mock_client:
# Create a mock coroutine that returns the generate_content_response
async def mock_coro():
return generate_content_response
# Assign the coroutine to the mocked method
mock_client.aio.models.generate_content.return_value = mock_coro()
responses = [
resp
async for resp in gemini_llm.generate_content_async(
llm_request, stream=False
)
]
assert len(responses) == 1
assert isinstance(responses[0], LlmResponse)
assert responses[0].content.parts[0].text == "Hello, how can I help you?"
mock_client.aio.models.generate_content.assert_called_once()
@pytest.mark.asyncio
async def test_generate_content_async_stream(gemini_llm, llm_request):
with mock.patch.object(gemini_llm, "api_client") as mock_client:
# Create mock stream responses
class MockAsyncIterator:
def __init__(self, seq):
self.iter = iter(seq)
def __aiter__(self):
return self
async def __anext__(self):
try:
return next(self.iter)
except StopIteration:
raise StopAsyncIteration
mock_responses = [
types.GenerateContentResponse(
candidates=[
types.Candidate(
content=Content(
role="model", parts=[Part.from_text(text="Hello")]
),
finish_reason=None,
)
]
),
types.GenerateContentResponse(
candidates=[
types.Candidate(
content=Content(
role="model", parts=[Part.from_text(text=", how")]
),
finish_reason=None,
)
]
),
types.GenerateContentResponse(
candidates=[
types.Candidate(
content=Content(
role="model",
parts=[Part.from_text(text=" can I help you?")],
),
finish_reason=types.FinishReason.STOP,
)
]
),
]
# Create a mock coroutine that returns the MockAsyncIterator
async def mock_coro():
return MockAsyncIterator(mock_responses)
# Set the mock to return the coroutine
mock_client.aio.models.generate_content_stream.return_value = mock_coro()
responses = [
resp
async for resp in gemini_llm.generate_content_async(
llm_request, stream=True
)
]
# Assertions remain the same
assert len(responses) == 4
assert responses[0].partial is True
assert responses[1].partial is True
assert responses[2].partial is True
assert responses[3].content.parts[0].text == "Hello, how can I help you?"
mock_client.aio.models.generate_content_stream.assert_called_once()
@pytest.mark.asyncio
async def test_connect(gemini_llm, llm_request):
# Create a mock connection
mock_connection = mock.MagicMock(spec=GeminiLlmConnection)
# Create a mock context manager
class MockContextManager:
async def __aenter__(self):
return mock_connection
async def __aexit__(self, *args):
pass
# Mock the connect method at the class level
with mock.patch(
"google.adk.models.google_llm.Gemini.connect",
return_value=MockContextManager(),
):
async with gemini_llm.connect(llm_request) as connection:
assert connection is mock_connection

View File

@@ -0,0 +1,804 @@
# Copyright 2025 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 AsyncMock
from unittest.mock import Mock
from google.adk.models.lite_llm import _content_to_message_param
from google.adk.models.lite_llm import _function_declaration_to_tool_param
from google.adk.models.lite_llm import _get_content
from google.adk.models.lite_llm import _message_to_generate_content_response
from google.adk.models.lite_llm import _model_response_to_chunk
from google.adk.models.lite_llm import _to_litellm_role
from google.adk.models.lite_llm import FunctionChunk
from google.adk.models.lite_llm import LiteLlm
from google.adk.models.lite_llm import LiteLLMClient
from google.adk.models.lite_llm import TextChunk
from google.adk.models.llm_request import LlmRequest
from google.genai import types
from litellm import ChatCompletionAssistantMessage
from litellm import ChatCompletionMessageToolCall
from litellm import Function
from litellm.types.utils import ChatCompletionDeltaToolCall
from litellm.types.utils import Choices
from litellm.types.utils import Delta
from litellm.types.utils import ModelResponse
from litellm.types.utils import StreamingChoices
import pytest
LLM_REQUEST_WITH_FUNCTION_DECLARATION = LlmRequest(
contents=[
types.Content(
role="user", parts=[types.Part.from_text(text="Test prompt")]
)
],
config=types.GenerateContentConfig(
tools=[
types.Tool(
function_declarations=[
types.FunctionDeclaration(
name="test_function",
description="Test function description",
parameters=types.Schema(
type=types.Type.OBJECT,
properties={
"test_arg": types.Schema(
type=types.Type.STRING
),
"array_arg": types.Schema(
type=types.Type.ARRAY,
items={
"type": types.Type.STRING,
},
),
"nested_arg": types.Schema(
type=types.Type.OBJECT,
properties={
"nested_key1": types.Schema(
type=types.Type.STRING
),
"nested_key2": types.Schema(
type=types.Type.STRING
),
},
),
},
),
)
]
)
],
),
)
STREAMING_MODEL_RESPONSE = [
ModelResponse(
choices=[
StreamingChoices(
finish_reason=None,
delta=Delta(
role="assistant",
content="zero, ",
),
)
]
),
ModelResponse(
choices=[
StreamingChoices(
finish_reason=None,
delta=Delta(
role="assistant",
content="one, ",
),
)
]
),
ModelResponse(
choices=[
StreamingChoices(
finish_reason=None,
delta=Delta(
role="assistant",
content="two:",
),
)
]
),
ModelResponse(
choices=[
StreamingChoices(
finish_reason=None,
delta=Delta(
role="assistant",
tool_calls=[
ChatCompletionDeltaToolCall(
type="function",
id="test_tool_call_id",
function=Function(
name="test_function",
arguments='{"test_arg": "test_',
),
index=0,
)
],
),
)
]
),
ModelResponse(
choices=[
StreamingChoices(
finish_reason=None,
delta=Delta(
role="assistant",
tool_calls=[
ChatCompletionDeltaToolCall(
type="function",
id=None,
function=Function(
name=None,
arguments='value"}',
),
index=0,
)
],
),
)
]
),
ModelResponse(
choices=[
StreamingChoices(
finish_reason="tool_use",
)
]
),
]
@pytest.fixture
def mock_response():
return ModelResponse(
choices=[
Choices(
message=ChatCompletionAssistantMessage(
role="assistant",
content="Test response",
tool_calls=[
ChatCompletionMessageToolCall(
type="function",
id="test_tool_call_id",
function=Function(
name="test_function",
arguments='{"test_arg": "test_value"}',
),
)
],
)
)
]
)
@pytest.fixture
def mock_acompletion(mock_response):
return AsyncMock(return_value=mock_response)
@pytest.fixture
def mock_completion(mock_response):
return Mock(return_value=mock_response)
@pytest.fixture
def mock_client(mock_acompletion, mock_completion):
return MockLLMClient(mock_acompletion, mock_completion)
@pytest.fixture
def lite_llm_instance(mock_client):
return LiteLlm(model="test_model", llm_client=mock_client)
class MockLLMClient(LiteLLMClient):
def __init__(self, acompletion_mock, completion_mock):
self.acompletion_mock = acompletion_mock
self.completion_mock = completion_mock
async def acompletion(self, model, messages, tools, **kwargs):
return await self.acompletion_mock(
model=model, messages=messages, tools=tools, **kwargs
)
def completion(self, model, messages, tools, stream, **kwargs):
return self.completion_mock(
model=model, messages=messages, tools=tools, stream=stream, **kwargs
)
@pytest.mark.asyncio
async def test_generate_content_async(mock_acompletion, lite_llm_instance):
async for response in lite_llm_instance.generate_content_async(
LLM_REQUEST_WITH_FUNCTION_DECLARATION
):
assert response.content.role == "model"
assert response.content.parts[0].text == "Test response"
assert response.content.parts[1].function_call.name == "test_function"
assert response.content.parts[1].function_call.args == {
"test_arg": "test_value"
}
assert response.content.parts[1].function_call.id == "test_tool_call_id"
mock_acompletion.assert_called_once()
_, kwargs = mock_acompletion.call_args
assert kwargs["model"] == "test_model"
assert kwargs["messages"][0]["role"] == "user"
assert kwargs["messages"][0]["content"] == "Test prompt"
assert kwargs["tools"][0]["function"]["name"] == "test_function"
assert (
kwargs["tools"][0]["function"]["description"]
== "Test function description"
)
assert (
kwargs["tools"][0]["function"]["parameters"]["properties"]["test_arg"][
"type"
]
== "string"
)
function_declaration_test_cases = [
(
"simple_function",
types.FunctionDeclaration(
name="test_function",
description="Test function description",
parameters=types.Schema(
type=types.Type.OBJECT,
properties={
"test_arg": types.Schema(type=types.Type.STRING),
"array_arg": types.Schema(
type=types.Type.ARRAY,
items=types.Schema(
type=types.Type.STRING,
),
),
"nested_arg": types.Schema(
type=types.Type.OBJECT,
properties={
"nested_key1": types.Schema(type=types.Type.STRING),
"nested_key2": types.Schema(type=types.Type.STRING),
},
),
},
),
),
{
"type": "function",
"function": {
"name": "test_function",
"description": "Test function description",
"parameters": {
"type": "object",
"properties": {
"test_arg": {"type": "string"},
"array_arg": {
"items": {"type": "string"},
"type": "array",
},
"nested_arg": {
"properties": {
"nested_key1": {"type": "string"},
"nested_key2": {"type": "string"},
},
"type": "object",
},
},
},
},
},
),
(
"no_description",
types.FunctionDeclaration(
name="test_function_no_description",
parameters=types.Schema(
type=types.Type.OBJECT,
properties={
"test_arg": types.Schema(type=types.Type.STRING),
},
),
),
{
"type": "function",
"function": {
"name": "test_function_no_description",
"description": "",
"parameters": {
"type": "object",
"properties": {
"test_arg": {"type": "string"},
},
},
},
},
),
(
"empty_parameters",
types.FunctionDeclaration(
name="test_function_empty_params",
parameters=types.Schema(type=types.Type.OBJECT, properties={}),
),
{
"type": "function",
"function": {
"name": "test_function_empty_params",
"description": "",
"parameters": {
"type": "object",
"properties": {},
},
},
},
),
(
"nested_array",
types.FunctionDeclaration(
name="test_function_nested_array",
parameters=types.Schema(
type=types.Type.OBJECT,
properties={
"array_arg": types.Schema(
type=types.Type.ARRAY,
items=types.Schema(
type=types.Type.OBJECT,
properties={
"nested_key": types.Schema(
type=types.Type.STRING
)
},
),
),
},
),
),
{
"type": "function",
"function": {
"name": "test_function_nested_array",
"description": "",
"parameters": {
"type": "object",
"properties": {
"array_arg": {
"items": {
"properties": {
"nested_key": {"type": "string"}
},
"type": "object",
},
"type": "array",
},
},
},
},
},
),
]
@pytest.mark.parametrize(
"_, function_declaration, expected_output",
function_declaration_test_cases,
ids=[case[0] for case in function_declaration_test_cases],
)
def test_function_declaration_to_tool_param(
_, function_declaration, expected_output
):
assert (
_function_declaration_to_tool_param(function_declaration)
== expected_output
)
@pytest.mark.asyncio
async def test_generate_content_async_with_system_instruction(
lite_llm_instance, mock_acompletion
):
mock_response_with_system_instruction = ModelResponse(
choices=[
Choices(
message=ChatCompletionAssistantMessage(
role="assistant",
content="Test response",
)
)
]
)
mock_acompletion.return_value = mock_response_with_system_instruction
llm_request = LlmRequest(
contents=[
types.Content(
role="user", parts=[types.Part.from_text(text="Test prompt")]
)
],
config=types.GenerateContentConfig(
system_instruction="Test system instruction"
),
)
async for response in lite_llm_instance.generate_content_async(llm_request):
assert response.content.role == "model"
assert response.content.parts[0].text == "Test response"
mock_acompletion.assert_called_once()
_, kwargs = mock_acompletion.call_args
assert kwargs["model"] == "test_model"
assert kwargs["messages"][0]["role"] == "developer"
assert kwargs["messages"][0]["content"] == "Test system instruction"
assert kwargs["messages"][1]["role"] == "user"
assert kwargs["messages"][1]["content"] == "Test prompt"
@pytest.mark.asyncio
async def test_generate_content_async_with_tool_response(
lite_llm_instance, mock_acompletion
):
mock_response_with_tool_response = ModelResponse(
choices=[
Choices(
message=ChatCompletionAssistantMessage(
role="tool",
content='{"result": "test_result"}',
tool_call_id="test_tool_call_id",
)
)
]
)
mock_acompletion.return_value = mock_response_with_tool_response
llm_request = LlmRequest(
contents=[
types.Content(
role="user", parts=[types.Part.from_text(text="Test prompt")]
),
types.Content(
role="tool",
parts=[
types.Part.from_function_response(
name="test_function",
response={"result": "test_result"},
)
],
),
],
config=types.GenerateContentConfig(
system_instruction="test instruction",
),
)
async for response in lite_llm_instance.generate_content_async(llm_request):
assert response.content.role == "model"
assert response.content.parts[0].text == '{"result": "test_result"}'
mock_acompletion.assert_called_once()
_, kwargs = mock_acompletion.call_args
assert kwargs["model"] == "test_model"
assert kwargs["messages"][2]["role"] == "tool"
assert kwargs["messages"][2]["content"] == '{"result": "test_result"}'
def test_content_to_message_param_user_message():
content = types.Content(
role="user", parts=[types.Part.from_text(text="Test prompt")]
)
message = _content_to_message_param(content)
assert message["role"] == "user"
assert message["content"] == "Test prompt"
def test_content_to_message_param_assistant_message():
content = types.Content(
role="assistant", parts=[types.Part.from_text(text="Test response")]
)
message = _content_to_message_param(content)
assert message["role"] == "assistant"
assert message["content"] == "Test response"
def test_content_to_message_param_function_call():
content = types.Content(
role="assistant",
parts=[
types.Part.from_function_call(
name="test_function", args={"test_arg": "test_value"}
)
],
)
content.parts[0].function_call.id = "test_tool_call_id"
message = _content_to_message_param(content)
assert message["role"] == "assistant"
assert message["content"] == []
assert message["tool_calls"][0].type == "function"
assert message["tool_calls"][0].id == "test_tool_call_id"
assert message["tool_calls"][0].function.name == "test_function"
assert (
message["tool_calls"][0].function.arguments
== '{"test_arg": "test_value"}'
)
def test_message_to_generate_content_response_text():
message = ChatCompletionAssistantMessage(
role="assistant",
content="Test response",
)
response = _message_to_generate_content_response(message)
assert response.content.role == "model"
assert response.content.parts[0].text == "Test response"
def test_message_to_generate_content_response_tool_call():
message = ChatCompletionAssistantMessage(
role="assistant",
content=None,
tool_calls=[
ChatCompletionMessageToolCall(
type="function",
id="test_tool_call_id",
function=Function(
name="test_function",
arguments='{"test_arg": "test_value"}',
),
)
],
)
response = _message_to_generate_content_response(message)
assert response.content.role == "model"
assert response.content.parts[0].function_call.name == "test_function"
assert response.content.parts[0].function_call.args == {
"test_arg": "test_value"
}
assert response.content.parts[0].function_call.id == "test_tool_call_id"
def test_get_content_text():
parts = [types.Part.from_text(text="Test text")]
content = _get_content(parts)
assert content == "Test text"
def test_get_content_image():
parts = [
types.Part.from_bytes(data=b"test_image_data", mime_type="image/png")
]
content = _get_content(parts)
assert content[0]["type"] == "image_url"
assert content[0]["image_url"] == "data:image/png;base64,dGVzdF9pbWFnZV9kYXRh"
def test_get_content_video():
parts = [
types.Part.from_bytes(data=b"test_video_data", mime_type="video/mp4")
]
content = _get_content(parts)
assert content[0]["type"] == "video_url"
assert content[0]["video_url"] == "data:video/mp4;base64,dGVzdF92aWRlb19kYXRh"
def test_to_litellm_role():
assert _to_litellm_role("model") == "assistant"
assert _to_litellm_role("assistant") == "assistant"
assert _to_litellm_role("user") == "user"
assert _to_litellm_role(None) == "user"
@pytest.mark.parametrize(
"response, expected_chunk, expected_finished",
[
(
ModelResponse(
choices=[
{
"message": {
"content": "this is a test",
}
}
]
),
TextChunk(text="this is a test"),
"stop",
),
(
ModelResponse(
choices=[
StreamingChoices(
finish_reason=None,
delta=Delta(
role="assistant",
tool_calls=[
ChatCompletionDeltaToolCall(
type="function",
id="1",
function=Function(
name="test_function",
arguments='{"key": "va',
),
index=0,
)
],
),
)
]
),
FunctionChunk(id="1", name="test_function", args='{"key": "va'),
None,
),
(
ModelResponse(choices=[{"finish_reason": "tool_calls"}]),
None,
"tool_calls",
),
(ModelResponse(choices=[{}]), None, "stop"),
],
)
def test_model_response_to_chunk(response, expected_chunk, expected_finished):
result = list(_model_response_to_chunk(response))
assert len(result) == 1
chunk, finished = result[0]
if expected_chunk:
assert isinstance(chunk, type(expected_chunk))
assert chunk == expected_chunk
else:
assert chunk is None
assert finished == expected_finished
@pytest.mark.asyncio
async def test_acompletion_additional_args(mock_acompletion, mock_client):
lite_llm_instance = LiteLlm(
# valid args
model="test_model",
llm_client=mock_client,
api_key="test_key",
api_base="some://url",
api_version="2024-09-12",
# invalid args (ignored)
stream=True,
messages=[{"role": "invalid", "content": "invalid"}],
tools=[{
"type": "function",
"function": {
"name": "invalid",
},
}],
)
async for response in lite_llm_instance.generate_content_async(
LLM_REQUEST_WITH_FUNCTION_DECLARATION
):
assert response.content.role == "model"
assert response.content.parts[0].text == "Test response"
assert response.content.parts[1].function_call.name == "test_function"
assert response.content.parts[1].function_call.args == {
"test_arg": "test_value"
}
assert response.content.parts[1].function_call.id == "test_tool_call_id"
mock_acompletion.assert_called_once()
_, kwargs = mock_acompletion.call_args
assert kwargs["model"] == "test_model"
assert kwargs["messages"][0]["role"] == "user"
assert kwargs["messages"][0]["content"] == "Test prompt"
assert kwargs["tools"][0]["function"]["name"] == "test_function"
assert "stream" not in kwargs
assert "llm_client" not in kwargs
assert kwargs["api_base"] == "some://url"
@pytest.mark.asyncio
async def test_completion_additional_args(mock_completion, mock_client):
lite_llm_instance = LiteLlm(
# valid args
model="test_model",
llm_client=mock_client,
api_key="test_key",
api_base="some://url",
api_version="2024-09-12",
# invalid args (ignored)
stream=False,
messages=[{"role": "invalid", "content": "invalid"}],
tools=[{
"type": "function",
"function": {
"name": "invalid",
},
}],
)
mock_completion.return_value = iter(STREAMING_MODEL_RESPONSE)
responses = [
response
async for response in lite_llm_instance.generate_content_async(
LLM_REQUEST_WITH_FUNCTION_DECLARATION, stream=True
)
]
assert len(responses) == 4
mock_completion.assert_called_once()
_, kwargs = mock_completion.call_args
assert kwargs["model"] == "test_model"
assert kwargs["messages"][0]["role"] == "user"
assert kwargs["messages"][0]["content"] == "Test prompt"
assert kwargs["tools"][0]["function"]["name"] == "test_function"
assert kwargs["stream"]
assert "llm_client" not in kwargs
assert kwargs["api_base"] == "some://url"
@pytest.mark.asyncio
async def test_generate_content_async_stream(
mock_completion, lite_llm_instance
):
mock_completion.return_value = iter(STREAMING_MODEL_RESPONSE)
responses = [
response
async for response in lite_llm_instance.generate_content_async(
LLM_REQUEST_WITH_FUNCTION_DECLARATION, stream=True
)
]
assert len(responses) == 4
assert responses[0].content.role == "model"
assert responses[0].content.parts[0].text == "zero, "
assert responses[1].content.role == "model"
assert responses[1].content.parts[0].text == "one, "
assert responses[2].content.role == "model"
assert responses[2].content.parts[0].text == "two:"
assert responses[3].content.role == "model"
assert responses[3].content.parts[0].function_call.name == "test_function"
assert responses[3].content.parts[0].function_call.args == {
"test_arg": "test_value"
}
assert responses[3].content.parts[0].function_call.id == "test_tool_call_id"
mock_completion.assert_called_once()
_, kwargs = mock_completion.call_args
assert kwargs["model"] == "test_model"
assert kwargs["messages"][0]["role"] == "user"
assert kwargs["messages"][0]["content"] == "Test prompt"
assert kwargs["tools"][0]["function"]["name"] == "test_function"
assert (
kwargs["tools"][0]["function"]["description"]
== "Test function description"
)
assert (
kwargs["tools"][0]["function"]["parameters"]["properties"]["test_arg"][
"type"
]
== "string"
)

View File

@@ -0,0 +1,60 @@
# Copyright 2025 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 google.adk import models
from google.adk.models.anthropic_llm import Claude
from google.adk.models.google_llm import Gemini
from google.adk.models.registry import LLMRegistry
import pytest
@pytest.mark.parametrize(
'model_name',
[
'gemini-1.5-flash',
'gemini-1.5-flash-001',
'gemini-1.5-flash-002',
'gemini-1.5-pro',
'gemini-1.5-pro-001',
'gemini-1.5-pro-002',
'gemini-2.0-flash-exp',
'projects/123456/locations/us-central1/endpoints/123456', # finetuned vertex gemini endpoint
'projects/123456/locations/us-central1/publishers/google/models/gemini-2.0-flash-exp', # vertex gemini long name
],
)
def test_match_gemini_family(model_name):
assert models.LLMRegistry.resolve(model_name) is Gemini
@pytest.mark.parametrize(
'model_name',
[
'claude-3-5-haiku@20241022',
'claude-3-5-sonnet-v2@20241022',
'claude-3-5-sonnet@20240620',
'claude-3-haiku@20240307',
'claude-3-opus@20240229',
'claude-3-sonnet@20240229',
],
)
def test_match_claude_family(model_name):
LLMRegistry.register(Claude)
assert models.LLMRegistry.resolve(model_name) is Claude
def test_non_exist_model():
with pytest.raises(ValueError) as e_info:
models.LLMRegistry.resolve('non-exist-model')
assert 'Model non-exist-model not found.' in str(e_info.value)

View File

@@ -0,0 +1,14 @@
# Copyright 2025 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.

View File

@@ -0,0 +1,227 @@
# Copyright 2025 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.
import enum
import pytest
from google.adk.events import Event
from google.adk.events import EventActions
from google.adk.sessions import DatabaseSessionService
from google.adk.sessions import InMemorySessionService
from google.genai import types
class SessionServiceType(enum.Enum):
IN_MEMORY = 'IN_MEMORY'
DATABASE = 'DATABASE'
def get_session_service(
service_type: SessionServiceType = SessionServiceType.IN_MEMORY,
):
"""Creates a session service for testing."""
if service_type == SessionServiceType.DATABASE:
return DatabaseSessionService('sqlite:///:memory:')
return InMemorySessionService()
@pytest.mark.parametrize(
'service_type', [SessionServiceType.IN_MEMORY, SessionServiceType.DATABASE]
)
def test_get_empty_session(service_type):
session_service = get_session_service(service_type)
assert not session_service.get_session(
app_name='my_app', user_id='test_user', session_id='123'
)
@pytest.mark.parametrize(
'service_type', [SessionServiceType.IN_MEMORY, SessionServiceType.DATABASE]
)
def test_create_get_session(service_type):
session_service = get_session_service(service_type)
app_name = 'my_app'
user_id = 'test_user'
state = {'key': 'value'}
session = session_service.create_session(
app_name=app_name, user_id=user_id, state=state
)
assert session.app_name == app_name
assert session.user_id == user_id
assert session.id
assert session.state == state
assert (
session_service.get_session(
app_name=app_name, user_id=user_id, session_id=session.id
)
== session
)
session_id = session.id
session_service.delete_session(
app_name=app_name, user_id=user_id, session_id=session_id
)
assert (
not session_service.get_session(
app_name=app_name, user_id=user_id, session_id=session.id
)
== session
)
@pytest.mark.parametrize(
'service_type', [SessionServiceType.IN_MEMORY, SessionServiceType.DATABASE]
)
def test_create_and_list_sessions(service_type):
session_service = get_session_service(service_type)
app_name = 'my_app'
user_id = 'test_user'
session_ids = ['session' + str(i) for i in range(5)]
for session_id in session_ids:
session_service.create_session(
app_name=app_name, user_id=user_id, session_id=session_id
)
sessions = session_service.list_sessions(
app_name=app_name, user_id=user_id
).sessions
for i in range(len(sessions)):
assert sessions[i].id == session_ids[i]
@pytest.mark.parametrize(
'service_type', [SessionServiceType.IN_MEMORY, SessionServiceType.DATABASE]
)
def test_session_state(service_type):
session_service = get_session_service(service_type)
app_name = 'my_app'
user_id_1 = 'user1'
user_id_2 = 'user2'
session_id_11 = 'session11'
session_id_12 = 'session12'
session_id_2 = 'session2'
state_11 = {'key11': 'value11'}
state_12 = {'key12': 'value12'}
session_11 = session_service.create_session(
app_name=app_name,
user_id=user_id_1,
state=state_11,
session_id=session_id_11,
)
session_service.create_session(
app_name=app_name,
user_id=user_id_1,
state=state_12,
session_id=session_id_12,
)
session_service.create_session(
app_name=app_name, user_id=user_id_2, session_id=session_id_2
)
assert session_11.state.get('key11') == 'value11'
event = Event(
invocation_id='invocation',
author='user',
content=types.Content(role='user', parts=[types.Part(text='text')]),
actions=EventActions(
state_delta={
'app:key': 'value',
'user:key1': 'value1',
'temp:key': 'temp',
'key11': 'value11_new',
}
),
)
session_service.append_event(session=session_11, event=event)
# User and app state is stored, temp state is filtered.
assert session_11.state.get('app:key') == 'value'
assert session_11.state.get('key11') == 'value11_new'
assert session_11.state.get('user:key1') == 'value1'
assert not session_11.state.get('temp:key')
session_12 = session_service.get_session(
app_name=app_name, user_id=user_id_1, session_id=session_id_12
)
# After getting a new instance, the session_12 got the user and app state,
# even append_event is not applied to it, temp state has no effect
assert session_12.state.get('key12') == 'value12'
assert not session_12.state.get('temp:key')
# The user1's state is not visible to user2, app state is visible
session_2 = session_service.get_session(
app_name=app_name, user_id=user_id_2, session_id=session_id_2
)
assert session_2.state.get('app:key') == 'value'
assert not session_2.state.get('user:key1')
assert not session_2.state.get('user:key1')
# The change to session_11 is persisted
session_11 = session_service.get_session(
app_name=app_name, user_id=user_id_1, session_id=session_id_11
)
assert session_11.state.get('key11') == 'value11_new'
assert session_11.state.get('user:key1') == 'value1'
assert not session_11.state.get('temp:key')
@pytest.mark.parametrize(
"service_type", [SessionServiceType.IN_MEMORY, SessionServiceType.DATABASE]
)
def test_create_new_session_will_merge_states(service_type):
session_service = get_session_service(service_type)
app_name = 'my_app'
user_id = 'user'
session_id_1 = 'session1'
session_id_2 = 'session2'
state_1 = {'key1': 'value1'}
session_1 = session_service.create_session(
app_name=app_name, user_id=user_id, state=state_1, session_id=session_id_1
)
event = Event(
invocation_id='invocation',
author='user',
content=types.Content(role='user', parts=[types.Part(text='text')]),
actions=EventActions(
state_delta={
'app:key': 'value',
'user:key1': 'value1',
'temp:key': 'temp',
}
),
)
session_service.append_event(session=session_1, event=event)
# User and app state is stored, temp state is filtered.
assert session_1.state.get('app:key') == 'value'
assert session_1.state.get('key1') == 'value1'
assert session_1.state.get('user:key1') == 'value1'
assert not session_1.state.get('temp:key')
session_2 = session_service.create_session(
app_name=app_name, user_id=user_id, state={}, session_id=session_id_2
)
# Session 2 has the persisted states
assert session_2.state.get('app:key') == 'value'
assert session_2.state.get('user:key1') == 'value1'
assert not session_2.state.get('key1')
assert not session_2.state.get('temp:key')

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# Copyright 2025 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.
import re
import this
from typing import Any
import uuid
from dateutil.parser import isoparse
from google.adk.events import Event
from google.adk.events import EventActions
from google.adk.sessions import Session
from google.adk.sessions import VertexAiSessionService
from google.genai import types
import pytest
MOCK_SESSION_JSON_1 = {
'name': (
'projects/test-project/locations/test-location/'
'reasoningEngines/123/sessions/1'
),
'createTime': '2024-12-12T12:12:12.123456Z',
'updateTime': '2024-12-12T12:12:12.123456Z',
'sessionState': {
'key': {'value': 'test_value'},
},
'userId': 'user',
}
MOCK_SESSION_JSON_2 = {
'name': (
'projects/test-project/locations/test-location/'
'reasoningEngines/123/sessions/2'
),
'updateTime': '2024-12-13T12:12:12.123456Z',
'userId': 'user',
}
MOCK_SESSION_JSON_3 = {
'name': (
'projects/test-project/locations/test-location/'
'reasoningEngines/123/sessions/3'
),
'updateTime': '2024-12-14T12:12:12.123456Z',
'userId': 'user2',
}
MOCK_EVENT_JSON = [
{
'name': (
'projects/test-project/locations/test-location/'
'reasoningEngines/test_engine/sessions/1/events/123'
),
'invocationId': '123',
'author': 'user',
'timestamp': '2024-12-12T12:12:12.123456Z',
'content': {
'parts': [
{'text': 'test_content'},
],
},
'actions': {
'stateDelta': {
'key': {'value': 'test_value'},
},
'transferAgent': 'agent',
},
'eventMetadata': {
'partial': False,
'turnComplete': True,
'interrupted': False,
'branch': '',
'longRunningToolIds': ['tool1'],
},
},
]
MOCK_SESSION = Session(
app_name='123',
user_id='user',
id='1',
state=MOCK_SESSION_JSON_1['sessionState'],
last_update_time=isoparse(MOCK_SESSION_JSON_1['updateTime']).timestamp(),
events=[
Event(
id='123',
invocation_id='123',
author='user',
timestamp=isoparse(MOCK_EVENT_JSON[0]['timestamp']).timestamp(),
content=types.Content(parts=[types.Part(text='test_content')]),
actions=EventActions(
transfer_to_agent='agent',
state_delta={'key': {'value': 'test_value'}},
),
partial=False,
turn_complete=True,
interrupted=False,
branch='',
long_running_tool_ids={'tool1'},
),
],
)
SESSION_REGEX = r'^reasoningEngines/([^/]+)/sessions/([^/]+)$'
SESSIONS_REGEX = r'^reasoningEngines/([^/]+)/sessions$'
EVENTS_REGEX = r'^reasoningEngines/([^/]+)/sessions/([^/]+)/events$'
LRO_REGEX = r'^operations/([^/]+)$'
class MockApiClient:
"""Mocks the API Client."""
def __init__(self) -> None:
"""Initializes MockClient."""
this.session_dict: dict[str, Any] = {}
this.event_dict: dict[str, list[Any]] = {}
def request(self, http_method: str, path: str, request_dict: dict[str, Any]):
"""Mocks the API Client request method."""
if http_method == 'GET':
if re.match(SESSION_REGEX, path):
match = re.match(SESSION_REGEX, path)
if match:
session_id = match.group(2)
if session_id in self.session_dict:
return self.session_dict[session_id]
else:
raise ValueError(f'Session not found: {session_id}')
elif re.match(SESSIONS_REGEX, path):
return {
'sessions': self.session_dict.values(),
}
elif re.match(EVENTS_REGEX, path):
match = re.match(EVENTS_REGEX, path)
if match:
return {'sessionEvents': self.event_dict[match.group(2)]}
elif re.match(LRO_REGEX, path):
return {
'name': (
'projects/test-project/locations/test-location/'
'reasoningEngines/123/sessions/123'
),
'done': True,
}
else:
raise ValueError(f'Unsupported path: {path}')
elif http_method == 'POST':
id = str(uuid.uuid4())
self.session_dict[id] = {
'name': (
'projects/test-project/locations/test-location/'
'reasoningEngines/123/sessions/'
+ id
),
'userId': request_dict['user_id'],
'sessionState': request_dict.get('sessionState', {}),
'updateTime': '2024-12-12T12:12:12.123456Z',
}
return {
'name': (
'projects/test_project/locations/test_location/'
'reasoningEngines/test_engine/sessions/123'
),
'done': False,
}
elif http_method == 'DELETE':
match = re.match(SESSION_REGEX, path)
if match:
self.session_dict.pop(match.group(2))
else:
raise ValueError(f'Unsupported http method: {http_method}')
def mock_vertex_ai_session_service():
"""Creates a mock Vertex AI Session service for testing."""
service = VertexAiSessionService(
project='test-project', location='test-location'
)
service.api_client = MockApiClient()
service.api_client.session_dict = {
'1': MOCK_SESSION_JSON_1,
'2': MOCK_SESSION_JSON_2,
'3': MOCK_SESSION_JSON_3,
}
service.api_client.event_dict = {
'1': MOCK_EVENT_JSON,
}
return service
def test_get_empty_session():
session_service = mock_vertex_ai_session_service()
with pytest.raises(ValueError) as excinfo:
assert session_service.get_session(
app_name='123', user_id='user', session_id='0'
)
assert str(excinfo.value) == 'Session not found: 0'
def test_get_and_delete_session():
session_service = mock_vertex_ai_session_service()
assert (
session_service.get_session(
app_name='123', user_id='user', session_id='1'
)
== MOCK_SESSION
)
session_service.delete_session(app_name='123', user_id='user', session_id='1')
with pytest.raises(ValueError) as excinfo:
assert session_service.get_session(
app_name='123', user_id='user', session_id='1'
)
assert str(excinfo.value) == 'Session not found: 1'
def test_list_sessions():
session_service = mock_vertex_ai_session_service()
sessions = session_service.list_sessions(app_name='123', user_id='user')
assert len(sessions.sessions) == 2
assert sessions.sessions[0].id == '1'
assert sessions.sessions[1].id == '2'
def test_create_session():
session_service = mock_vertex_ai_session_service()
session = session_service.create_session(
app_name='123', user_id='user', state={'key': 'value'}
)
assert session.state == {'key': 'value'}
assert session.app_name == '123'
assert session.user_id == 'user'
assert session.last_update_time is not None
session_id = session.id
assert session == session_service.get_session(
app_name='123', user_id='user', session_id=session_id
)

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# Copyright 2025 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.

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@@ -0,0 +1,50 @@
# Copyright 2025 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 google.adk.agents import Agent
from google.adk.agents import LiveRequestQueue
from google.adk.models import LlmResponse
from google.genai import types
import pytest
from .. import utils
@pytest.mark.skip(reason='Streaming is hanging.')
def test_streaming():
response1 = LlmResponse(
turn_complete=True,
)
mock_model = utils.MockModel.create([response1])
root_agent = Agent(
name='root_agent',
model=mock_model,
tools=[],
)
runner = utils.InMemoryRunner(
root_agent=root_agent, response_modalities=['AUDIO']
)
live_request_queue = LiveRequestQueue()
live_request_queue.send_realtime(
blob=types.Blob(data=b'\x00\xFF', mime_type='audio/pcm')
)
res_events = runner.run_live(live_request_queue)
assert res_events is not None, 'Expected a list of events, got None.'
assert (
len(res_events) > 0
), 'Expected at least one response, but got an empty list.'

View File

@@ -0,0 +1,14 @@
# Copyright 2025 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.

View File

@@ -0,0 +1,499 @@
# Copyright 2025 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.
import base64
import json
from unittest.mock import MagicMock, patch
from google.adk.tools.apihub_tool.clients.apihub_client import APIHubClient
import pytest
from requests.exceptions import HTTPError
# Mock data for API responses
MOCK_API_LIST = {
"apis": [
{"name": "projects/test-project/locations/us-central1/apis/api1"},
{"name": "projects/test-project/locations/us-central1/apis/api2"},
]
}
MOCK_API_DETAIL = {
"name": "projects/test-project/locations/us-central1/apis/api1",
"versions": [
"projects/test-project/locations/us-central1/apis/api1/versions/v1"
],
}
MOCK_API_VERSION = {
"name": "projects/test-project/locations/us-central1/apis/api1/versions/v1",
"specs": [
"projects/test-project/locations/us-central1/apis/api1/versions/v1/specs/spec1"
],
}
MOCK_SPEC_CONTENT = {"contents": base64.b64encode(b"spec content").decode()}
# Test cases
class TestAPIHubClient:
@pytest.fixture
def client(self):
return APIHubClient(access_token="mocked_token")
@pytest.fixture
def service_account_config(self):
return json.dumps({
"type": "service_account",
"project_id": "test",
"token_uri": "test.com",
"client_email": "test@example.com",
"private_key": "1234",
})
@patch("requests.get")
def test_list_apis(self, mock_get, client):
mock_get.return_value.json.return_value = MOCK_API_LIST
mock_get.return_value.status_code = 200
apis = client.list_apis("test-project", "us-central1")
assert apis == MOCK_API_LIST["apis"]
mock_get.assert_called_once_with(
"https://apihub.googleapis.com/v1/projects/test-project/locations/us-central1/apis",
headers={
"accept": "application/json, text/plain, */*",
"Authorization": "Bearer mocked_token",
},
)
@patch("requests.get")
def test_list_apis_empty(self, mock_get, client):
mock_get.return_value.json.return_value = {"apis": []}
mock_get.return_value.status_code = 200
apis = client.list_apis("test-project", "us-central1")
assert apis == []
@patch("requests.get")
def test_list_apis_error(self, mock_get, client):
mock_get.return_value.raise_for_status.side_effect = HTTPError
with pytest.raises(HTTPError):
client.list_apis("test-project", "us-central1")
@patch("requests.get")
def test_get_api(self, mock_get, client):
mock_get.return_value.json.return_value = MOCK_API_DETAIL
mock_get.return_value.status_code = 200
api = client.get_api(
"projects/test-project/locations/us-central1/apis/api1"
)
assert api == MOCK_API_DETAIL
mock_get.assert_called_once_with(
"https://apihub.googleapis.com/v1/projects/test-project/locations/us-central1/apis/api1",
headers={
"accept": "application/json, text/plain, */*",
"Authorization": "Bearer mocked_token",
},
)
@patch("requests.get")
def test_get_api_error(self, mock_get, client):
mock_get.return_value.raise_for_status.side_effect = HTTPError
with pytest.raises(HTTPError):
client.get_api("projects/test-project/locations/us-central1/apis/api1")
@patch("requests.get")
def test_get_api_version(self, mock_get, client):
mock_get.return_value.json.return_value = MOCK_API_VERSION
mock_get.return_value.status_code = 200
api_version = client.get_api_version(
"projects/test-project/locations/us-central1/apis/api1/versions/v1"
)
assert api_version == MOCK_API_VERSION
mock_get.assert_called_once_with(
"https://apihub.googleapis.com/v1/projects/test-project/locations/us-central1/apis/api1/versions/v1",
headers={
"accept": "application/json, text/plain, */*",
"Authorization": "Bearer mocked_token",
},
)
@patch("requests.get")
def test_get_api_version_error(self, mock_get, client):
mock_get.return_value.raise_for_status.side_effect = HTTPError
with pytest.raises(HTTPError):
client.get_api_version(
"projects/test-project/locations/us-central1/apis/api1/versions/v1"
)
@patch("requests.get")
def test_get_spec_content(self, mock_get, client):
mock_get.return_value.json.return_value = MOCK_SPEC_CONTENT
mock_get.return_value.status_code = 200
spec_content = client.get_spec_content(
"projects/test-project/locations/us-central1/apis/api1/versions/v1/specs/spec1"
)
assert spec_content == "spec content"
mock_get.assert_called_once_with(
"https://apihub.googleapis.com/v1/projects/test-project/locations/us-central1/apis/api1/versions/v1/specs/spec1:contents",
headers={
"accept": "application/json, text/plain, */*",
"Authorization": "Bearer mocked_token",
},
)
@patch("requests.get")
def test_get_spec_content_empty(self, mock_get, client):
mock_get.return_value.json.return_value = {"contents": ""}
mock_get.return_value.status_code = 200
spec_content = client.get_spec_content(
"projects/test-project/locations/us-central1/apis/api1/versions/v1/specs/spec1"
)
assert spec_content == ""
@patch("requests.get")
def test_get_spec_content_error(self, mock_get, client):
mock_get.return_value.raise_for_status.side_effect = HTTPError
with pytest.raises(HTTPError):
client.get_spec_content(
"projects/test-project/locations/us-central1/apis/api1/versions/v1/specs/spec1"
)
@pytest.mark.parametrize(
"url_or_path, expected",
[
(
"projects/test-project/locations/us-central1/apis/api1",
(
"projects/test-project/locations/us-central1/apis/api1",
None,
None,
),
),
(
"projects/test-project/locations/us-central1/apis/api1/versions/v1",
(
"projects/test-project/locations/us-central1/apis/api1",
"projects/test-project/locations/us-central1/apis/api1/versions/v1",
None,
),
),
(
"projects/test-project/locations/us-central1/apis/api1/versions/v1/specs/spec1",
(
"projects/test-project/locations/us-central1/apis/api1",
"projects/test-project/locations/us-central1/apis/api1/versions/v1",
"projects/test-project/locations/us-central1/apis/api1/versions/v1/specs/spec1",
),
),
(
"https://console.cloud.google.com/apigee/api-hub/projects/test-project/locations/us-central1/apis/api1/versions/v1?project=test-project",
(
"projects/test-project/locations/us-central1/apis/api1",
"projects/test-project/locations/us-central1/apis/api1/versions/v1",
None,
),
),
(
"https://console.cloud.google.com/apigee/api-hub/projects/test-project/locations/us-central1/apis/api1/versions/v1/specs/spec1?project=test-project",
(
"projects/test-project/locations/us-central1/apis/api1",
"projects/test-project/locations/us-central1/apis/api1/versions/v1",
"projects/test-project/locations/us-central1/apis/api1/versions/v1/specs/spec1",
),
),
(
"/projects/test-project/locations/us-central1/apis/api1/versions/v1",
(
"projects/test-project/locations/us-central1/apis/api1",
"projects/test-project/locations/us-central1/apis/api1/versions/v1",
None,
),
),
( # Added trailing slashes
"projects/test-project/locations/us-central1/apis/api1/",
(
"projects/test-project/locations/us-central1/apis/api1",
None,
None,
),
),
( # case location name
"projects/test-project/locations/LOCATION/apis/api1/",
(
"projects/test-project/locations/LOCATION/apis/api1",
None,
None,
),
),
(
"projects/p1/locations/l1/apis/a1/versions/v1/specs/s1",
(
"projects/p1/locations/l1/apis/a1",
"projects/p1/locations/l1/apis/a1/versions/v1",
"projects/p1/locations/l1/apis/a1/versions/v1/specs/s1",
),
),
],
)
def test_extract_resource_name(self, client, url_or_path, expected):
result = client._extract_resource_name(url_or_path)
assert result == expected
@pytest.mark.parametrize(
"url_or_path, expected_error_message",
[
(
"invalid-path",
"Project ID not found in URL or path in APIHubClient.",
),
(
"projects/test-project",
"Location not found in URL or path in APIHubClient.",
),
(
"projects/test-project/locations/us-central1",
"API id not found in URL or path in APIHubClient.",
),
],
)
def test_extract_resource_name_invalid(
self, client, url_or_path, expected_error_message
):
with pytest.raises(ValueError, match=expected_error_message):
client._extract_resource_name(url_or_path)
@patch(
"google.adk.tools.apihub_tool.clients.apihub_client.default_service_credential"
)
@patch(
"google.adk.tools.apihub_tool.clients.apihub_client.service_account.Credentials.from_service_account_info"
)
def test_get_access_token_use_default_credential(
self,
mock_from_service_account_info,
mock_default_service_credential,
):
mock_credential = MagicMock()
mock_credential.token = "default_token"
mock_default_service_credential.return_value = (
mock_credential,
"project_id",
)
mock_config_credential = MagicMock()
mock_config_credential.token = "config_token"
mock_from_service_account_info.return_value = mock_config_credential
client = APIHubClient()
token = client._get_access_token()
assert token == "default_token"
mock_credential.refresh.assert_called_once()
assert client.credential_cache == mock_credential
@patch(
"google.adk.tools.apihub_tool.clients.apihub_client.default_service_credential"
)
@patch(
"google.adk.tools.apihub_tool.clients.apihub_client.service_account.Credentials.from_service_account_info"
)
def test_get_access_token_use_configured_service_account(
self,
mock_from_service_account_info,
mock_default_service_credential,
service_account_config,
):
mock_credential = MagicMock()
mock_credential.token = "default_token"
mock_default_service_credential.return_value = (
mock_credential,
"project_id",
)
mock_config_credential = MagicMock()
mock_config_credential.token = "config_token"
mock_from_service_account_info.return_value = mock_config_credential
client = APIHubClient(service_account_json=service_account_config)
token = client._get_access_token()
assert token == "config_token"
mock_from_service_account_info.assert_called_once_with(
json.loads(service_account_config),
scopes=["https://www.googleapis.com/auth/cloud-platform"],
)
mock_config_credential.refresh.assert_called_once()
assert client.credential_cache == mock_config_credential
@patch(
"google.adk.tools.apihub_tool.clients.apihub_client.default_service_credential"
)
def test_get_access_token_not_expired_use_cached_token(
self, mock_default_credential
):
mock_credentials = MagicMock()
mock_credentials.token = "default_service_account_token"
mock_default_credential.return_value = (mock_credentials, "")
client = APIHubClient()
# Call #1: Setup cache
token = client._get_access_token()
assert token == "default_service_account_token"
mock_default_credential.assert_called_once()
# Call #2: Reuse cache
mock_credentials.reset_mock()
mock_credentials.expired = False
token = client._get_access_token()
assert token == "default_service_account_token"
mock_credentials.refresh.assert_not_called()
@patch(
"google.adk.tools.apihub_tool.clients.apihub_client.default_service_credential"
)
def test_get_access_token_expired_refresh(self, mock_default_credential):
mock_credentials = MagicMock()
mock_credentials.token = "default_service_account_token"
mock_default_credential.return_value = (mock_credentials, "")
client = APIHubClient()
# Call #1: Setup cache
token = client._get_access_token()
assert token == "default_service_account_token"
mock_default_credential.assert_called_once()
# Call #2: Cache expired
mock_credentials.reset_mock()
mock_credentials.expired = True
token = client._get_access_token()
mock_credentials.refresh.assert_called_once()
assert token == "default_service_account_token"
@patch(
"google.adk.tools.apihub_tool.clients.apihub_client.default_service_credential"
)
def test_get_access_token_no_credentials(
self, mock_default_service_credential
):
mock_default_service_credential.return_value = (None, None)
with pytest.raises(
ValueError,
match=(
"Please provide a service account or an access token to API Hub"
" client."
),
):
# no service account client
APIHubClient()._get_access_token()
@patch("requests.get")
def test_get_spec_content_api_level(self, mock_get, client):
mock_get.side_effect = [
MagicMock(status_code=200, json=lambda: MOCK_API_DETAIL), # For get_api
MagicMock(
status_code=200, json=lambda: MOCK_API_VERSION
), # For get_api_version
MagicMock(
status_code=200, json=lambda: MOCK_SPEC_CONTENT
), # For get_spec_content
]
content = client.get_spec_content(
"projects/test-project/locations/us-central1/apis/api1"
)
assert content == "spec content"
# Check calls - get_api, get_api_version, then get_spec_content
assert mock_get.call_count == 3
@patch("requests.get")
def test_get_spec_content_version_level(self, mock_get, client):
mock_get.side_effect = [
MagicMock(
status_code=200, json=lambda: MOCK_API_VERSION
), # For get_api_version
MagicMock(
status_code=200, json=lambda: MOCK_SPEC_CONTENT
), # For get_spec_content
]
content = client.get_spec_content(
"projects/test-project/locations/us-central1/apis/api1/versions/v1"
)
assert content == "spec content"
assert mock_get.call_count == 2 # get_api_version and get_spec_content
@patch("requests.get")
def test_get_spec_content_spec_level(self, mock_get, client):
mock_get.return_value.json.return_value = MOCK_SPEC_CONTENT
mock_get.return_value.status_code = 200
content = client.get_spec_content(
"projects/test-project/locations/us-central1/apis/api1/versions/v1/specs/spec1"
)
assert content == "spec content"
mock_get.assert_called_once() # Only get_spec_content should be called
@patch("requests.get")
def test_get_spec_content_no_versions(self, mock_get, client):
mock_get.return_value.json.return_value = {
"name": "projects/test-project/locations/us-central1/apis/api1",
"versions": [],
} # No versions
mock_get.return_value.status_code = 200
with pytest.raises(
ValueError,
match=(
"No versions found in API Hub resource:"
" projects/test-project/locations/us-central1/apis/api1"
),
):
client.get_spec_content(
"projects/test-project/locations/us-central1/apis/api1"
)
@patch("requests.get")
def test_get_spec_content_no_specs(self, mock_get, client):
mock_get.side_effect = [
MagicMock(status_code=200, json=lambda: MOCK_API_DETAIL),
MagicMock(
status_code=200,
json=lambda: {
"name": (
"projects/test-project/locations/us-central1/apis/api1/versions/v1"
),
"specs": [],
},
), # No specs
]
with pytest.raises(
ValueError,
match=(
"No specs found in API Hub version:"
" projects/test-project/locations/us-central1/apis/api1/versions/v1"
),
):
client.get_spec_content(
"projects/test-project/locations/us-central1/apis/api1/versions/v1"
)
@patch("requests.get")
def test_get_spec_content_invalid_path(self, mock_get, client):
with pytest.raises(
ValueError,
match=(
"Project ID not found in URL or path in APIHubClient. Input"
" path is 'invalid-path'."
),
):
client.get_spec_content("invalid-path")
if __name__ == "__main__":
pytest.main([__file__])

View File

@@ -0,0 +1,204 @@
# Copyright 2025 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 google.adk.auth.auth_credential import AuthCredential
from google.adk.auth.auth_schemes import AuthScheme
from google.adk.tools.apihub_tool.apihub_toolset import APIHubToolset
from google.adk.tools.apihub_tool.clients.apihub_client import BaseAPIHubClient
import pytest
import yaml
class MockAPIHubClient(BaseAPIHubClient):
def get_spec_content(self, apihub_resource_name: str) -> str:
return """
openapi: 3.0.0
info:
version: 1.0.0
title: Mock API
description: Mock API Description
paths:
/test:
get:
summary: Test GET endpoint
operationId: testGet
responses:
'200':
description: Successful response
"""
# Fixture for a basic APIHubToolset
@pytest.fixture
def basic_apihub_toolset():
apihub_client = MockAPIHubClient()
tool = APIHubToolset(
apihub_resource_name='test_resource', apihub_client=apihub_client
)
return tool
# Fixture for an APIHubToolset with lazy loading
@pytest.fixture
def lazy_apihub_toolset():
apihub_client = MockAPIHubClient()
tool = APIHubToolset(
apihub_resource_name='test_resource',
apihub_client=apihub_client,
lazy_load_spec=True,
)
return tool
# Fixture for auth scheme
@pytest.fixture
def mock_auth_scheme():
return MagicMock(spec=AuthScheme)
# Fixture for auth credential
@pytest.fixture
def mock_auth_credential():
return MagicMock(spec=AuthCredential)
# Test cases
def test_apihub_toolset_initialization(basic_apihub_toolset):
assert basic_apihub_toolset.name == 'mock_api'
assert basic_apihub_toolset.description == 'Mock API Description'
assert basic_apihub_toolset.apihub_resource_name == 'test_resource'
assert not basic_apihub_toolset.lazy_load_spec
assert len(basic_apihub_toolset.generated_tools) == 1
assert 'test_get' in basic_apihub_toolset.generated_tools
def test_apihub_toolset_lazy_loading(lazy_apihub_toolset):
assert lazy_apihub_toolset.lazy_load_spec
assert not lazy_apihub_toolset.generated_tools
tools = lazy_apihub_toolset.get_tools()
assert len(tools) == 1
assert lazy_apihub_toolset.get_tool('test_get') == tools[0]
def test_apihub_toolset_no_title_in_spec(basic_apihub_toolset):
spec = """
openapi: 3.0.0
info:
version: 1.0.0
paths:
/empty_desc_test:
delete:
summary: Test DELETE endpoint
operationId: emptyDescTest
responses:
'200':
description: Successful response
"""
class MockAPIHubClientEmptySpec(BaseAPIHubClient):
def get_spec_content(self, apihub_resource_name: str) -> str:
return spec
apihub_client = MockAPIHubClientEmptySpec()
toolset = APIHubToolset(
apihub_resource_name='test_resource',
apihub_client=apihub_client,
)
assert toolset.name == 'unnamed'
def test_apihub_toolset_empty_description_in_spec():
spec = """
openapi: 3.0.0
info:
version: 1.0.0
title: Empty Description API
paths:
/empty_desc_test:
delete:
summary: Test DELETE endpoint
operationId: emptyDescTest
responses:
'200':
description: Successful response
"""
class MockAPIHubClientEmptySpec(BaseAPIHubClient):
def get_spec_content(self, apihub_resource_name: str) -> str:
return spec
apihub_client = MockAPIHubClientEmptySpec()
toolset = APIHubToolset(
apihub_resource_name='test_resource',
apihub_client=apihub_client,
)
assert toolset.name == 'empty_description_api'
assert toolset.description == ''
def test_get_tools_with_auth(mock_auth_scheme, mock_auth_credential):
apihub_client = MockAPIHubClient()
tool = APIHubToolset(
apihub_resource_name='test_resource',
apihub_client=apihub_client,
auth_scheme=mock_auth_scheme,
auth_credential=mock_auth_credential,
)
tools = tool.get_tools()
assert len(tools) == 1
def test_apihub_toolset_get_tools_lazy_load_empty_spec():
class MockAPIHubClientEmptySpec(BaseAPIHubClient):
def get_spec_content(self, apihub_resource_name: str) -> str:
return ''
apihub_client = MockAPIHubClientEmptySpec()
tool = APIHubToolset(
apihub_resource_name='test_resource',
apihub_client=apihub_client,
lazy_load_spec=True,
)
tools = tool.get_tools()
assert not tools
def test_apihub_toolset_get_tools_invalid_yaml():
class MockAPIHubClientInvalidYAML(BaseAPIHubClient):
def get_spec_content(self, apihub_resource_name: str) -> str:
return '{invalid yaml' # Return invalid YAML
with pytest.raises(yaml.YAMLError):
apihub_client = MockAPIHubClientInvalidYAML()
tool = APIHubToolset(
apihub_resource_name='test_resource',
apihub_client=apihub_client,
)
tool.get_tools()
if __name__ == '__main__':
pytest.main([__file__])

View File

@@ -0,0 +1,600 @@
# Copyright 2025 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.
import json
from unittest import mock
from google.adk.tools.application_integration_tool.clients.connections_client import ConnectionsClient
import google.auth
import pytest
import requests
from requests import exceptions
@pytest.fixture
def project():
return "test-project"
@pytest.fixture
def location():
return "us-central1"
@pytest.fixture
def connection_name():
return "test-connection"
@pytest.fixture
def mock_credentials():
creds = mock.create_autospec(google.auth.credentials.Credentials)
creds.token = "test_token"
creds.expired = False
return creds
@pytest.fixture
def mock_auth_request():
return mock.create_autospec(google.auth.transport.requests.Request)
class TestConnectionsClient:
def test_initialization(self, project, location, connection_name):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(
project, location, connection_name, json.dumps(credentials)
)
assert client.project == project
assert client.location == location
assert client.connection == connection_name
assert client.connector_url == "https://connectors.googleapis.com"
assert client.service_account_json == json.dumps(credentials)
assert client.credential_cache is None
def test_execute_api_call_success(
self, project, location, connection_name, mock_credentials
):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(project, location, connection_name, credentials)
mock_response = mock.MagicMock()
mock_response.status_code = 200
mock_response.raise_for_status.return_value = None
mock_response.json.return_value = {"data": "test"}
with mock.patch.object(
client, "_get_access_token", return_value=mock_credentials.token
), mock.patch("requests.get", return_value=mock_response):
response = client._execute_api_call("https://test.url")
assert response.json() == {"data": "test"}
requests.get.assert_called_once_with(
"https://test.url",
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {mock_credentials.token}",
},
)
def test_execute_api_call_credential_error(
self, project, location, connection_name
):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(project, location, connection_name, credentials)
with mock.patch.object(
client,
"_get_access_token",
side_effect=google.auth.exceptions.DefaultCredentialsError("Test"),
):
with pytest.raises(PermissionError, match="Credentials error: Test"):
client._execute_api_call("https://test.url")
@pytest.mark.parametrize(
"status_code, response_text",
[(404, "Not Found"), (400, "Bad Request")],
)
def test_execute_api_call_request_error_not_found_or_bad_request(
self,
project,
location,
connection_name,
mock_credentials,
status_code,
response_text,
):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(project, location, connection_name, credentials)
mock_response = mock.MagicMock()
mock_response.status_code = status_code
mock_response.raise_for_status.side_effect = exceptions.HTTPError(
f"HTTP error {status_code}: {response_text}"
)
with mock.patch.object(
client, "_get_access_token", return_value=mock_credentials.token
), mock.patch("requests.get", return_value=mock_response):
with pytest.raises(
ValueError, match="Invalid request. Please check the provided"
):
client._execute_api_call("https://test.url")
def test_execute_api_call_other_request_error(
self, project, location, connection_name, mock_credentials
):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(project, location, connection_name, credentials)
mock_response = mock.MagicMock()
mock_response.status_code = 500
mock_response.raise_for_status.side_effect = exceptions.HTTPError(
"Internal Server Error"
)
with mock.patch.object(
client, "_get_access_token", return_value=mock_credentials.token
), mock.patch("requests.get", return_value=mock_response):
with pytest.raises(ValueError, match="Request error: "):
client._execute_api_call("https://test.url")
def test_execute_api_call_unexpected_error(
self, project, location, connection_name, mock_credentials
):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(project, location, connection_name, credentials)
with mock.patch.object(
client, "_get_access_token", return_value=mock_credentials.token
), mock.patch(
"requests.get", side_effect=Exception("Something went wrong")
):
with pytest.raises(
Exception, match="An unexpected error occurred: Something went wrong"
):
client._execute_api_call("https://test.url")
def test_get_connection_details_success_with_host(
self, project, location, connection_name, mock_credentials
):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(project, location, connection_name, credentials)
mock_response = mock.MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = {
"serviceDirectory": "test_service",
"host": "test.host",
"tlsServiceDirectory": "tls_test_service",
"authOverrideEnabled": True,
}
with mock.patch.object(
client, "_execute_api_call", return_value=mock_response
):
details = client.get_connection_details()
assert details == {
"serviceName": "tls_test_service",
"host": "test.host",
"authOverrideEnabled": True,
}
def test_get_connection_details_success_without_host(
self, project, location, connection_name, mock_credentials
):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(project, location, connection_name, credentials)
mock_response = mock.MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = {
"serviceDirectory": "test_service",
"authOverrideEnabled": False,
}
with mock.patch.object(
client, "_execute_api_call", return_value=mock_response
):
details = client.get_connection_details()
assert details == {
"serviceName": "test_service",
"host": "",
"authOverrideEnabled": False,
}
def test_get_connection_details_error(
self, project, location, connection_name
):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(project, location, connection_name, credentials)
with mock.patch.object(
client, "_execute_api_call", side_effect=ValueError("Request error")
):
with pytest.raises(ValueError, match="Request error"):
client.get_connection_details()
def test_get_entity_schema_and_operations_success(
self, project, location, connection_name, mock_credentials
):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(project, location, connection_name, credentials)
mock_execute_response_initial = mock.MagicMock()
mock_execute_response_initial.status_code = 200
mock_execute_response_initial.json.return_value = {
"name": "operations/test_op"
}
mock_execute_response_poll_done = mock.MagicMock()
mock_execute_response_poll_done.status_code = 200
mock_execute_response_poll_done.json.return_value = {
"done": True,
"response": {
"jsonSchema": {"type": "object"},
"operations": ["LIST", "GET"],
},
}
with mock.patch.object(
client,
"_execute_api_call",
side_effect=[
mock_execute_response_initial,
mock_execute_response_poll_done,
],
):
schema, operations = client.get_entity_schema_and_operations("entity1")
assert schema == {"type": "object"}
assert operations == ["LIST", "GET"]
assert (
mock.call(
f"https://connectors.googleapis.com/v1/projects/{project}/locations/{location}/connections/{connection_name}/connectionSchemaMetadata:getEntityType?entityId=entity1"
)
in client._execute_api_call.mock_calls
)
assert (
mock.call(f"https://connectors.googleapis.com/v1/operations/test_op")
in client._execute_api_call.mock_calls
)
def test_get_entity_schema_and_operations_no_operation_id(
self, project, location, connection_name, mock_credentials
):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(project, location, connection_name, credentials)
mock_execute_response = mock.MagicMock()
mock_execute_response.status_code = 200
mock_execute_response.json.return_value = {}
with mock.patch.object(
client, "_execute_api_call", return_value=mock_execute_response
):
with pytest.raises(
ValueError,
match=(
"Failed to get entity schema and operations for entity: entity1"
),
):
client.get_entity_schema_and_operations("entity1")
def test_get_entity_schema_and_operations_execute_api_call_error(
self, project, location, connection_name
):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(project, location, connection_name, credentials)
with mock.patch.object(
client, "_execute_api_call", side_effect=ValueError("Request error")
):
with pytest.raises(ValueError, match="Request error"):
client.get_entity_schema_and_operations("entity1")
def test_get_action_schema_success(
self, project, location, connection_name, mock_credentials
):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(project, location, connection_name, credentials)
mock_execute_response_initial = mock.MagicMock()
mock_execute_response_initial.status_code = 200
mock_execute_response_initial.json.return_value = {
"name": "operations/test_op"
}
mock_execute_response_poll_done = mock.MagicMock()
mock_execute_response_poll_done.status_code = 200
mock_execute_response_poll_done.json.return_value = {
"done": True,
"response": {
"inputJsonSchema": {
"type": "object",
"properties": {"input": {"type": "string"}},
},
"outputJsonSchema": {
"type": "object",
"properties": {"output": {"type": "string"}},
},
"description": "Test Action Description",
"displayName": "TestAction",
},
}
with mock.patch.object(
client,
"_execute_api_call",
side_effect=[
mock_execute_response_initial,
mock_execute_response_poll_done,
],
):
schema = client.get_action_schema("action1")
assert schema == {
"inputSchema": {
"type": "object",
"properties": {"input": {"type": "string"}},
},
"outputSchema": {
"type": "object",
"properties": {"output": {"type": "string"}},
},
"description": "Test Action Description",
"displayName": "TestAction",
}
assert (
mock.call(
f"https://connectors.googleapis.com/v1/projects/{project}/locations/{location}/connections/{connection_name}/connectionSchemaMetadata:getAction?actionId=action1"
)
in client._execute_api_call.mock_calls
)
assert (
mock.call(f"https://connectors.googleapis.com/v1/operations/test_op")
in client._execute_api_call.mock_calls
)
def test_get_action_schema_no_operation_id(
self, project, location, connection_name, mock_credentials
):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(project, location, connection_name, credentials)
mock_execute_response = mock.MagicMock()
mock_execute_response.status_code = 200
mock_execute_response.json.return_value = {}
with mock.patch.object(
client, "_execute_api_call", return_value=mock_execute_response
):
with pytest.raises(
ValueError, match="Failed to get action schema for action: action1"
):
client.get_action_schema("action1")
def test_get_action_schema_execute_api_call_error(
self, project, location, connection_name
):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(project, location, connection_name, credentials)
with mock.patch.object(
client, "_execute_api_call", side_effect=ValueError("Request error")
):
with pytest.raises(ValueError, match="Request error"):
client.get_action_schema("action1")
def test_get_connector_base_spec(self):
spec = ConnectionsClient.get_connector_base_spec()
assert "openapi" in spec
assert spec["info"]["title"] == "ExecuteConnection"
assert "components" in spec
assert "schemas" in spec["components"]
assert "operation" in spec["components"]["schemas"]
def test_get_action_operation(self):
operation = ConnectionsClient.get_action_operation(
"TestAction", "EXECUTE_ACTION", "TestActionDisplayName", "test_tool"
)
assert "post" in operation
assert operation["post"]["summary"] == "TestActionDisplayName"
assert "operationId" in operation["post"]
assert operation["post"]["operationId"] == "test_tool_TestActionDisplayName"
def test_list_operation(self):
operation = ConnectionsClient.list_operation(
"Entity1", '{"type": "object"}', "test_tool"
)
assert "post" in operation
assert operation["post"]["summary"] == "List Entity1"
assert "operationId" in operation["post"]
assert operation["post"]["operationId"] == "test_tool_list_Entity1"
def test_get_operation_static(self):
operation = ConnectionsClient.get_operation(
"Entity1", '{"type": "object"}', "test_tool"
)
assert "post" in operation
assert operation["post"]["summary"] == "Get Entity1"
assert "operationId" in operation["post"]
assert operation["post"]["operationId"] == "test_tool_get_Entity1"
def test_create_operation(self):
operation = ConnectionsClient.create_operation("Entity1", "test_tool")
assert "post" in operation
assert operation["post"]["summary"] == "Create Entity1"
assert "operationId" in operation["post"]
assert operation["post"]["operationId"] == "test_tool_create_Entity1"
def test_update_operation(self):
operation = ConnectionsClient.update_operation("Entity1", "test_tool")
assert "post" in operation
assert operation["post"]["summary"] == "Update Entity1"
assert "operationId" in operation["post"]
assert operation["post"]["operationId"] == "test_tool_update_Entity1"
def test_delete_operation(self):
operation = ConnectionsClient.delete_operation("Entity1", "test_tool")
assert "post" in operation
assert operation["post"]["summary"] == "Delete Entity1"
assert operation["post"]["operationId"] == "test_tool_delete_Entity1"
def test_create_operation_request(self):
schema = ConnectionsClient.create_operation_request("Entity1")
assert "type" in schema
assert schema["type"] == "object"
assert "properties" in schema
assert "connectorInputPayload" in schema["properties"]
def test_update_operation_request(self):
schema = ConnectionsClient.update_operation_request("Entity1")
assert "type" in schema
assert schema["type"] == "object"
assert "properties" in schema
assert "entityId" in schema["properties"]
def test_get_operation_request_static(self):
schema = ConnectionsClient.get_operation_request()
assert "type" in schema
assert schema["type"] == "object"
assert "properties" in schema
assert "entityId" in schema["properties"]
def test_delete_operation_request(self):
schema = ConnectionsClient.delete_operation_request()
assert "type" in schema
assert schema["type"] == "object"
assert "properties" in schema
assert "entityId" in schema["properties"]
def test_list_operation_request(self):
schema = ConnectionsClient.list_operation_request()
assert "type" in schema
assert schema["type"] == "object"
assert "properties" in schema
assert "filterClause" in schema["properties"]
def test_action_request(self):
schema = ConnectionsClient.action_request("TestAction")
assert "type" in schema
assert schema["type"] == "object"
assert "properties" in schema
assert "connectorInputPayload" in schema["properties"]
def test_action_response(self):
schema = ConnectionsClient.action_response("TestAction")
assert "type" in schema
assert schema["type"] == "object"
assert "properties" in schema
assert "connectorOutputPayload" in schema["properties"]
def test_execute_custom_query_request(self):
schema = ConnectionsClient.execute_custom_query_request()
assert "type" in schema
assert schema["type"] == "object"
assert "properties" in schema
assert "query" in schema["properties"]
def test_connector_payload(self):
client = ConnectionsClient("test-project", "us-central1", "test-connection")
schema = client.connector_payload(
json_schema={
"type": "object",
"properties": {
"input": {
"type": ["null", "string"],
"description": "description",
}
},
}
)
assert schema == {
"type": "object",
"properties": {
"input": {
"type": "string",
"nullable": True,
"description": "description",
}
},
}
def test_get_access_token_uses_cached_token(
self, project, location, connection_name, mock_credentials
):
credentials = {"email": "test@example.com"}
client = ConnectionsClient(project, location, connection_name, credentials)
client.credential_cache = mock_credentials
token = client._get_access_token()
assert token == "test_token"
def test_get_access_token_with_service_account_credentials(
self, project, location, connection_name
):
service_account_json = json.dumps({
"client_email": "test@example.com",
"private_key": "test_key",
})
client = ConnectionsClient(
project, location, connection_name, service_account_json
)
mock_creds = mock.create_autospec(google.oauth2.service_account.Credentials)
mock_creds.token = "sa_token"
mock_creds.expired = False
with mock.patch(
"google.oauth2.service_account.Credentials.from_service_account_info",
return_value=mock_creds,
), mock.patch.object(mock_creds, "refresh", return_value=None):
token = client._get_access_token()
assert token == "sa_token"
google.oauth2.service_account.Credentials.from_service_account_info.assert_called_once_with(
json.loads(service_account_json),
scopes=["https://www.googleapis.com/auth/cloud-platform"],
)
mock_creds.refresh.assert_called_once()
def test_get_access_token_with_default_credentials(
self, project, location, connection_name, mock_credentials
):
client = ConnectionsClient(project, location, connection_name, None)
with mock.patch(
"google.adk.tools.application_integration_tool.clients.connections_client.default_service_credential",
return_value=(mock_credentials, "test_project_id"),
), mock.patch.object(mock_credentials, "refresh", return_value=None):
token = client._get_access_token()
assert token == "test_token"
def test_get_access_token_no_valid_credentials(
self, project, location, connection_name
):
client = ConnectionsClient(project, location, connection_name, None)
with mock.patch(
"google.adk.tools.application_integration_tool.clients.connections_client.default_service_credential",
return_value=(None, None),
):
with pytest.raises(
ValueError,
match=(
"Please provide a service account that has the required"
" permissions"
),
):
client._get_access_token()
def test_get_access_token_refreshes_expired_token(
self, project, location, connection_name, mock_credentials
):
client = ConnectionsClient(project, location, connection_name, None)
mock_credentials.expired = True
mock_credentials.token = "old_token"
mock_credentials.refresh.return_value = None
client.credential_cache = mock_credentials
with mock.patch(
"google.adk.tools.application_integration_tool.clients.connections_client.default_service_credential",
return_value=(mock_credentials, "test_project_id"),
):
# Mock the refresh method directly on the instance within the context
with mock.patch.object(mock_credentials, "refresh") as mock_refresh:
mock_credentials.token = "new_token" # Set the expected new token
token = client._get_access_token()
assert token == "new_token"
mock_refresh.assert_called_once()

View File

@@ -0,0 +1,630 @@
# Copyright 2025 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.
import json
from unittest import mock
from google.adk.tools.application_integration_tool.clients.connections_client import ConnectionsClient
from google.adk.tools.application_integration_tool.clients.integration_client import IntegrationClient
import google.auth
import google.auth.transport.requests
from google.auth.transport.requests import Request
from google.oauth2 import service_account
import pytest
import requests
from requests import exceptions
@pytest.fixture
def project():
return "test-project"
@pytest.fixture
def location():
return "us-central1"
@pytest.fixture
def integration_name():
return "test-integration"
@pytest.fixture
def trigger_name():
return "test-trigger"
@pytest.fixture
def connection_name():
return "test-connection"
@pytest.fixture
def mock_credentials():
creds = mock.create_autospec(google.auth.credentials.Credentials)
creds.token = "test_token"
return creds
@pytest.fixture
def mock_auth_request():
return mock.create_autospec(Request)
@pytest.fixture
def mock_connections_client():
with mock.patch(
"google.adk.tools.application_integration_tool.clients.integration_client.ConnectionsClient"
) as mock_client:
mock_instance = mock.create_autospec(ConnectionsClient)
mock_client.return_value = mock_instance
yield mock_client
class TestIntegrationClient:
def test_initialization(
self, project, location, integration_name, trigger_name, connection_name
):
client = IntegrationClient(
project=project,
location=location,
integration=integration_name,
trigger=trigger_name,
connection=connection_name,
entity_operations={"entity": ["LIST"]},
actions=["action1"],
service_account_json=json.dumps({"email": "test@example.com"}),
)
assert client.project == project
assert client.location == location
assert client.integration == integration_name
assert client.trigger == trigger_name
assert client.connection == connection_name
assert client.entity_operations == {"entity": ["LIST"]}
assert client.actions == ["action1"]
assert client.service_account_json == json.dumps(
{"email": "test@example.com"}
)
assert client.credential_cache is None
def test_get_openapi_spec_for_integration_success(
self,
project,
location,
integration_name,
trigger_name,
mock_credentials,
mock_connections_client,
):
expected_spec = {"openapi": "3.0.0", "info": {"title": "Test Integration"}}
mock_response = mock.MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = {"openApiSpec": json.dumps(expected_spec)}
with mock.patch.object(
IntegrationClient,
"_get_access_token",
return_value=mock_credentials.token,
), mock.patch("requests.post", return_value=mock_response):
client = IntegrationClient(
project=project,
location=location,
integration=integration_name,
trigger=trigger_name,
connection=None,
entity_operations=None,
actions=None,
service_account_json=None,
)
spec = client.get_openapi_spec_for_integration()
assert spec == expected_spec
requests.post.assert_called_once_with(
f"https://{location}-integrations.googleapis.com/v1/projects/{project}/locations/{location}:generateOpenApiSpec",
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {mock_credentials.token}",
},
json={
"apiTriggerResources": [{
"integrationResource": integration_name,
"triggerId": [trigger_name],
}],
"fileFormat": "JSON",
},
)
def test_get_openapi_spec_for_integration_credential_error(
self,
project,
location,
integration_name,
trigger_name,
mock_connections_client,
):
with mock.patch.object(
IntegrationClient,
"_get_access_token",
side_effect=ValueError(
"Please provide a service account that has the required permissions"
" to access the connection."
),
):
client = IntegrationClient(
project=project,
location=location,
integration=integration_name,
trigger=trigger_name,
connection=None,
entity_operations=None,
actions=None,
service_account_json=None,
)
with pytest.raises(
Exception,
match=(
"An unexpected error occurred: Please provide a service account"
" that has the required permissions to access the connection."
),
):
client.get_openapi_spec_for_integration()
@pytest.mark.parametrize(
"status_code, response_text",
[(404, "Not Found"), (400, "Bad Request"), (404, ""), (400, "")],
)
def test_get_openapi_spec_for_integration_request_error_not_found_or_bad_request(
self,
project,
location,
integration_name,
trigger_name,
mock_credentials,
status_code,
response_text,
mock_connections_client,
):
mock_response = mock.MagicMock()
mock_response.status_code = status_code
mock_response.raise_for_status.side_effect = exceptions.HTTPError(
f"HTTP error {status_code}: {response_text}"
)
with mock.patch.object(
IntegrationClient,
"_get_access_token",
return_value=mock_credentials.token,
), mock.patch("requests.post", return_value=mock_response):
client = IntegrationClient(
project=project,
location=location,
integration=integration_name,
trigger=trigger_name,
connection=None,
entity_operations=None,
actions=None,
service_account_json=None,
)
with pytest.raises(
ValueError,
match=(
"Invalid request. Please check the provided values of"
f" project\\({project}\\), location\\({location}\\),"
f" integration\\({integration_name}\\) and"
f" trigger\\({trigger_name}\\)."
),
):
client.get_openapi_spec_for_integration()
def test_get_openapi_spec_for_integration_other_request_error(
self,
project,
location,
integration_name,
trigger_name,
mock_credentials,
mock_connections_client,
):
mock_response = mock.MagicMock()
mock_response.status_code = 500
mock_response.raise_for_status.side_effect = exceptions.HTTPError(
"Internal Server Error"
)
with mock.patch.object(
IntegrationClient,
"_get_access_token",
return_value=mock_credentials.token,
), mock.patch("requests.post", return_value=mock_response):
client = IntegrationClient(
project=project,
location=location,
integration=integration_name,
trigger=trigger_name,
connection=None,
entity_operations=None,
actions=None,
service_account_json=None,
)
with pytest.raises(ValueError, match="Request error: "):
client.get_openapi_spec_for_integration()
def test_get_openapi_spec_for_integration_unexpected_error(
self,
project,
location,
integration_name,
trigger_name,
mock_credentials,
mock_connections_client,
):
with mock.patch.object(
IntegrationClient,
"_get_access_token",
return_value=mock_credentials.token,
), mock.patch(
"requests.post", side_effect=Exception("Something went wrong")
):
client = IntegrationClient(
project=project,
location=location,
integration=integration_name,
trigger=trigger_name,
connection=None,
entity_operations=None,
actions=None,
service_account_json=None,
)
with pytest.raises(
Exception, match="An unexpected error occurred: Something went wrong"
):
client.get_openapi_spec_for_integration()
def test_get_openapi_spec_for_connection_no_entity_operations_or_actions(
self, project, location, connection_name, mock_connections_client
):
client = IntegrationClient(
project=project,
location=location,
integration=None,
trigger=None,
connection=connection_name,
entity_operations=None,
actions=None,
service_account_json=None,
)
with pytest.raises(
ValueError,
match=(
"No entity operations or actions provided. Please provide at least"
" one of them."
),
):
client.get_openapi_spec_for_connection()
def test_get_openapi_spec_for_connection_with_entity_operations(
self, project, location, connection_name, mock_connections_client
):
entity_operations = {"entity1": ["LIST", "GET"]}
mock_connections_client_instance = mock_connections_client.return_value
mock_connections_client_instance.get_connector_base_spec.return_value = {
"components": {"schemas": {}},
"paths": {},
}
mock_connections_client_instance.get_entity_schema_and_operations.return_value = (
{"type": "object", "properties": {"id": {"type": "string"}}},
["LIST", "GET"],
)
mock_connections_client_instance.connector_payload.return_value = {
"type": "object"
}
mock_connections_client_instance.list_operation.return_value = {"get": {}}
mock_connections_client_instance.list_operation_request.return_value = {
"type": "object"
}
mock_connections_client_instance.get_operation.return_value = {"get": {}}
mock_connections_client_instance.get_operation_request.return_value = {
"type": "object"
}
client = IntegrationClient(
project=project,
location=location,
integration=None,
trigger=None,
connection=connection_name,
entity_operations=entity_operations,
actions=None,
service_account_json=None,
)
spec = client.get_openapi_spec_for_connection()
assert "paths" in spec
assert (
f"/v2/projects/{project}/locations/{location}/integrations/ExecuteConnection:execute?triggerId=api_trigger/ExecuteConnection#list_entity1"
in spec["paths"]
)
assert (
f"/v2/projects/{project}/locations/{location}/integrations/ExecuteConnection:execute?triggerId=api_trigger/ExecuteConnection#get_entity1"
in spec["paths"]
)
mock_connections_client.assert_called_once_with(
project, location, connection_name, None
)
mock_connections_client_instance.get_connector_base_spec.assert_called_once()
mock_connections_client_instance.get_entity_schema_and_operations.assert_any_call(
"entity1"
)
mock_connections_client_instance.connector_payload.assert_any_call(
{"type": "object", "properties": {"id": {"type": "string"}}}
)
mock_connections_client_instance.list_operation.assert_called_once()
mock_connections_client_instance.get_operation.assert_called_once()
def test_get_openapi_spec_for_connection_with_actions(
self, project, location, connection_name, mock_connections_client
):
actions = ["TestAction"]
mock_connections_client_instance = (
mock_connections_client.return_value
) # Corrected line
mock_connections_client_instance.get_connector_base_spec.return_value = {
"components": {"schemas": {}},
"paths": {},
}
mock_connections_client_instance.get_action_schema.return_value = {
"inputSchema": {
"type": "object",
"properties": {"input": {"type": "string"}},
},
"outputSchema": {
"type": "object",
"properties": {"output": {"type": "string"}},
},
"displayName": "TestAction",
}
mock_connections_client_instance.connector_payload.side_effect = [
{"type": "object"},
{"type": "object"},
]
mock_connections_client_instance.action_request.return_value = {
"type": "object"
}
mock_connections_client_instance.action_response.return_value = {
"type": "object"
}
mock_connections_client_instance.get_action_operation.return_value = {
"post": {}
}
client = IntegrationClient(
project=project,
location=location,
integration=None,
trigger=None,
connection=connection_name,
entity_operations=None,
actions=actions,
service_account_json=None,
)
spec = client.get_openapi_spec_for_connection()
assert "paths" in spec
assert (
f"/v2/projects/{project}/locations/{location}/integrations/ExecuteConnection:execute?triggerId=api_trigger/ExecuteConnection#TestAction"
in spec["paths"]
)
mock_connections_client.assert_called_once_with(
project, location, connection_name, None
)
mock_connections_client_instance.get_connector_base_spec.assert_called_once()
mock_connections_client_instance.get_action_schema.assert_called_once_with(
"TestAction"
)
mock_connections_client_instance.connector_payload.assert_any_call(
{"type": "object", "properties": {"input": {"type": "string"}}}
)
mock_connections_client_instance.connector_payload.assert_any_call(
{"type": "object", "properties": {"output": {"type": "string"}}}
)
mock_connections_client_instance.action_request.assert_called_once_with(
"TestAction"
)
mock_connections_client_instance.action_response.assert_called_once_with(
"TestAction"
)
mock_connections_client_instance.get_action_operation.assert_called_once()
def test_get_openapi_spec_for_connection_invalid_operation(
self, project, location, connection_name, mock_connections_client
):
entity_operations = {"entity1": ["INVALID"]}
mock_connections_client_instance = mock_connections_client.return_value
mock_connections_client_instance.get_connector_base_spec.return_value = {
"components": {"schemas": {}},
"paths": {},
}
mock_connections_client_instance.get_entity_schema_and_operations.return_value = (
{"type": "object", "properties": {"id": {"type": "string"}}},
["LIST", "GET"],
)
client = IntegrationClient(
project=project,
location=location,
integration=None,
trigger=None,
connection=connection_name,
entity_operations=entity_operations,
actions=None,
service_account_json=None,
)
with pytest.raises(
ValueError, match="Invalid operation: INVALID for entity: entity1"
):
client.get_openapi_spec_for_connection()
def test_get_access_token_with_service_account_json(
self, project, location, integration_name, trigger_name, connection_name
):
service_account_json = json.dumps({
"client_email": "test@example.com",
"private_key": "test_key",
})
mock_creds = mock.create_autospec(service_account.Credentials)
mock_creds.token = "sa_token"
mock_creds.expired = False
with mock.patch(
"google.oauth2.service_account.Credentials.from_service_account_info",
return_value=mock_creds,
), mock.patch.object(mock_creds, "refresh", return_value=None):
client = IntegrationClient(
project=project,
location=location,
integration=integration_name,
trigger=trigger_name,
connection=connection_name,
entity_operations=None,
actions=None,
service_account_json=service_account_json,
)
token = client._get_access_token()
assert token == "sa_token"
service_account.Credentials.from_service_account_info.assert_called_once_with(
json.loads(service_account_json),
scopes=["https://www.googleapis.com/auth/cloud-platform"],
)
mock_creds.refresh.assert_called_once()
def test_get_access_token_with_default_credentials(
self,
project,
location,
integration_name,
trigger_name,
connection_name,
mock_credentials,
):
mock_credentials.expired = False
with mock.patch(
"google.adk.tools.application_integration_tool.clients.integration_client.default_service_credential",
return_value=(mock_credentials, "test_project_id"),
), mock.patch.object(mock_credentials, "refresh", return_value=None):
client = IntegrationClient(
project=project,
location=location,
integration=integration_name,
trigger=trigger_name,
connection=connection_name,
entity_operations=None,
actions=None,
service_account_json=None,
)
token = client._get_access_token()
assert token == "test_token"
def test_get_access_token_no_valid_credentials(
self, project, location, integration_name, trigger_name, connection_name
):
with mock.patch(
"google.adk.tools.application_integration_tool.clients.integration_client.default_service_credential",
return_value=(None, None),
), mock.patch(
"google.oauth2.service_account.Credentials.from_service_account_info",
return_value=None,
):
client = IntegrationClient(
project=project,
location=location,
integration=integration_name,
trigger=trigger_name,
connection=connection_name,
entity_operations=None,
actions=None,
service_account_json=None,
)
try:
client._get_access_token()
assert False, "ValueError was not raised" # Explicitly fail if no error
except ValueError as e:
assert (
"Please provide a service account that has the required permissions"
" to access the connection."
in str(e)
)
def test_get_access_token_uses_cached_token(
self,
project,
location,
integration_name,
trigger_name,
connection_name,
mock_credentials,
):
mock_credentials.token = "cached_token"
mock_credentials.expired = False
client = IntegrationClient(
project=project,
location=location,
integration=integration_name,
trigger=trigger_name,
connection=connection_name,
entity_operations=None,
actions=None,
service_account_json=None,
)
client.credential_cache = mock_credentials # Simulate a cached credential
with mock.patch("google.auth.default") as mock_default, mock.patch(
"google.oauth2.service_account.Credentials.from_service_account_info"
) as mock_sa:
token = client._get_access_token()
assert token == "cached_token"
mock_default.assert_not_called()
mock_sa.assert_not_called()
def test_get_access_token_refreshes_expired_token(
self,
project,
location,
integration_name,
trigger_name,
connection_name,
mock_credentials,
):
mock_credentials = mock.create_autospec(google.auth.credentials.Credentials)
mock_credentials.token = "old_token"
mock_credentials.expired = True
mock_credentials.refresh.return_value = None
mock_credentials.token = "new_token" # Simulate token refresh
with mock.patch(
"google.adk.tools.application_integration_tool.clients.integration_client.default_service_credential",
return_value=(mock_credentials, "test_project_id"),
):
client = IntegrationClient(
project=project,
location=location,
integration=integration_name,
trigger=trigger_name,
connection=connection_name,
entity_operations=None,
actions=None,
service_account_json=None,
)
client.credential_cache = mock_credentials
token = client._get_access_token()
assert token == "new_token"
mock_credentials.refresh.assert_called_once()

View File

@@ -0,0 +1,345 @@
# Copyright 2025 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.
import json
from unittest import mock
from google.adk.auth.auth_credential import AuthCredential
from google.adk.tools.application_integration_tool.application_integration_toolset import ApplicationIntegrationToolset
from google.adk.tools.openapi_tool.openapi_spec_parser import rest_api_tool
import pytest
@pytest.fixture
def mock_integration_client():
with mock.patch(
"google.adk.tools.application_integration_tool.application_integration_toolset.IntegrationClient"
) as mock_client:
yield mock_client
@pytest.fixture
def mock_connections_client():
with mock.patch(
"google.adk.tools.application_integration_tool.application_integration_toolset.ConnectionsClient"
) as mock_client:
yield mock_client
@pytest.fixture
def mock_openapi_toolset():
with mock.patch(
"google.adk.tools.application_integration_tool.application_integration_toolset.OpenAPIToolset"
) as mock_toolset:
mock_toolset_instance = mock.MagicMock()
mock_rest_api_tool = mock.MagicMock(spec=rest_api_tool.RestApiTool)
mock_rest_api_tool.name = "Test Tool"
mock_toolset_instance.get_tools.return_value = [mock_rest_api_tool]
mock_toolset.return_value = mock_toolset_instance
yield mock_toolset
@pytest.fixture
def project():
return "test-project"
@pytest.fixture
def location():
return "us-central1"
@pytest.fixture
def integration_spec():
return {"openapi": "3.0.0", "info": {"title": "Integration API"}}
@pytest.fixture
def connection_spec():
return {"openapi": "3.0.0", "info": {"title": "Connection API"}}
@pytest.fixture
def connection_details():
return {"serviceName": "test-service", "host": "test.host"}
def test_initialization_with_integration_and_trigger(
project,
location,
mock_integration_client,
mock_connections_client,
mock_openapi_toolset,
):
integration_name = "test-integration"
trigger_name = "test-trigger"
toolset = ApplicationIntegrationToolset(
project, location, integration=integration_name, trigger=trigger_name
)
mock_integration_client.assert_called_once_with(
project, location, integration_name, trigger_name, None, None, None, None
)
mock_integration_client.return_value.get_openapi_spec_for_integration.assert_called_once()
mock_connections_client.assert_not_called()
mock_openapi_toolset.assert_called_once()
assert len(toolset.get_tools()) == 1
assert toolset.get_tools()[0].name == "Test Tool"
def test_initialization_with_connection_and_entity_operations(
project,
location,
mock_integration_client,
mock_connections_client,
mock_openapi_toolset,
connection_details,
):
connection_name = "test-connection"
entity_operations_list = ["list", "get"]
tool_name = "My Connection Tool"
tool_instructions = "Use this tool to manage entities."
mock_connections_client.return_value.get_connection_details.return_value = (
connection_details
)
toolset = ApplicationIntegrationToolset(
project,
location,
connection=connection_name,
entity_operations=entity_operations_list,
tool_name=tool_name,
tool_instructions=tool_instructions,
)
mock_integration_client.assert_called_once_with(
project,
location,
None,
None,
connection_name,
entity_operations_list,
None,
None,
)
mock_connections_client.assert_called_once_with(
project, location, connection_name, None
)
mock_connections_client.return_value.get_connection_details.assert_called_once()
mock_integration_client.return_value.get_openapi_spec_for_connection.assert_called_once_with(
tool_name,
tool_instructions
+ f"ALWAYS use serviceName = {connection_details['serviceName']}, host ="
f" {connection_details['host']} and the connection name ="
f" projects/{project}/locations/{location}/connections/{connection_name} when"
" using this tool. DONOT ask the user for these values as you already"
" have those.",
)
mock_openapi_toolset.assert_called_once()
assert len(toolset.get_tools()) == 1
assert toolset.get_tools()[0].name == "Test Tool"
def test_initialization_with_connection_and_actions(
project,
location,
mock_integration_client,
mock_connections_client,
mock_openapi_toolset,
connection_details,
):
connection_name = "test-connection"
actions_list = ["create", "delete"]
tool_name = "My Actions Tool"
tool_instructions = "Perform actions using this tool."
mock_connections_client.return_value.get_connection_details.return_value = (
connection_details
)
toolset = ApplicationIntegrationToolset(
project,
location,
connection=connection_name,
actions=actions_list,
tool_name=tool_name,
tool_instructions=tool_instructions,
)
mock_integration_client.assert_called_once_with(
project, location, None, None, connection_name, None, actions_list, None
)
mock_connections_client.assert_called_once_with(
project, location, connection_name, None
)
mock_connections_client.return_value.get_connection_details.assert_called_once()
mock_integration_client.return_value.get_openapi_spec_for_connection.assert_called_once_with(
tool_name,
tool_instructions
+ f"ALWAYS use serviceName = {connection_details['serviceName']}, host ="
f" {connection_details['host']} and the connection name ="
f" projects/{project}/locations/{location}/connections/{connection_name} when"
" using this tool. DONOT ask the user for these values as you already"
" have those.",
)
mock_openapi_toolset.assert_called_once()
assert len(toolset.get_tools()) == 1
assert toolset.get_tools()[0].name == "Test Tool"
def test_initialization_without_required_params(project, location):
with pytest.raises(
ValueError,
match=(
"Either \\(integration and trigger\\) or \\(connection and"
" \\(entity_operations or actions\\)\\) should be provided."
),
):
ApplicationIntegrationToolset(project, location)
with pytest.raises(
ValueError,
match=(
"Either \\(integration and trigger\\) or \\(connection and"
" \\(entity_operations or actions\\)\\) should be provided."
),
):
ApplicationIntegrationToolset(project, location, integration="test")
with pytest.raises(
ValueError,
match=(
"Either \\(integration and trigger\\) or \\(connection and"
" \\(entity_operations or actions\\)\\) should be provided."
),
):
ApplicationIntegrationToolset(project, location, trigger="test")
with pytest.raises(
ValueError,
match=(
"Either \\(integration and trigger\\) or \\(connection and"
" \\(entity_operations or actions\\)\\) should be provided."
),
):
ApplicationIntegrationToolset(project, location, connection="test")
def test_initialization_with_service_account_credentials(
project, location, mock_integration_client, mock_openapi_toolset
):
service_account_json = json.dumps({
"type": "service_account",
"project_id": "dummy",
"private_key_id": "dummy",
"private_key": "dummy",
"client_email": "test@example.com",
"client_id": "131331543646416",
"auth_uri": "https://accounts.google.com/o/oauth2/auth",
"token_uri": "https://oauth2.googleapis.com/token",
"auth_provider_x509_cert_url": (
"https://www.googleapis.com/oauth2/v1/certs"
),
"client_x509_cert_url": (
"http://www.googleapis.com/robot/v1/metadata/x509/dummy%40dummy.com"
),
"universe_domain": "googleapis.com",
})
integration_name = "test-integration"
trigger_name = "test-trigger"
toolset = ApplicationIntegrationToolset(
project,
location,
integration=integration_name,
trigger=trigger_name,
service_account_json=service_account_json,
)
mock_integration_client.assert_called_once_with(
project,
location,
integration_name,
trigger_name,
None,
None,
None,
service_account_json,
)
mock_openapi_toolset.assert_called_once()
_, kwargs = mock_openapi_toolset.call_args
assert isinstance(kwargs["auth_credential"], AuthCredential)
assert (
kwargs[
"auth_credential"
].service_account.service_account_credential.client_email
== "test@example.com"
)
def test_initialization_without_explicit_service_account_credentials(
project, location, mock_integration_client, mock_openapi_toolset
):
integration_name = "test-integration"
trigger_name = "test-trigger"
toolset = ApplicationIntegrationToolset(
project, location, integration=integration_name, trigger=trigger_name
)
mock_integration_client.assert_called_once_with(
project, location, integration_name, trigger_name, None, None, None, None
)
mock_openapi_toolset.assert_called_once()
_, kwargs = mock_openapi_toolset.call_args
assert isinstance(kwargs["auth_credential"], AuthCredential)
assert kwargs["auth_credential"].service_account.use_default_credential
def test_get_tools(
project, location, mock_integration_client, mock_openapi_toolset
):
integration_name = "test-integration"
trigger_name = "test-trigger"
toolset = ApplicationIntegrationToolset(
project, location, integration=integration_name, trigger=trigger_name
)
tools = toolset.get_tools()
assert len(tools) == 1
assert isinstance(tools[0], rest_api_tool.RestApiTool)
assert tools[0].name == "Test Tool"
def test_initialization_with_connection_details(
project,
location,
mock_integration_client,
mock_connections_client,
mock_openapi_toolset,
):
connection_name = "test-connection"
entity_operations_list = ["list"]
tool_name = "My Connection Tool"
tool_instructions = "Use this tool."
mock_connections_client.return_value.get_connection_details.return_value = {
"serviceName": "custom-service",
"host": "custom.host",
}
toolset = ApplicationIntegrationToolset(
project,
location,
connection=connection_name,
entity_operations=entity_operations_list,
tool_name=tool_name,
tool_instructions=tool_instructions,
)
mock_integration_client.return_value.get_openapi_spec_for_connection.assert_called_once_with(
tool_name,
tool_instructions
+ "ALWAYS use serviceName = custom-service, host = custom.host and the"
" connection name ="
" projects/test-project/locations/us-central1/connections/test-connection"
" when using this tool. DONOT ask the user for these values as you"
" already have those.",
)

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@@ -0,0 +1,13 @@
# Copyright 2025 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.

View File

@@ -0,0 +1,657 @@
# Copyright 2025 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 google.adk.tools.google_api_tool.googleapi_to_openapi_converter import GoogleApiToOpenApiConverter
# Import the converter class
from googleapiclient.errors import HttpError
import pytest
@pytest.fixture
def calendar_api_spec():
"""Fixture that provides a mock Google Calendar API spec for testing."""
return {
"kind": "discovery#restDescription",
"id": "calendar:v3",
"name": "calendar",
"version": "v3",
"title": "Google Calendar API",
"description": "Accesses the Google Calendar API",
"documentationLink": "https://developers.google.com/calendar/",
"protocol": "rest",
"rootUrl": "https://www.googleapis.com/",
"servicePath": "calendar/v3/",
"auth": {
"oauth2": {
"scopes": {
"https://www.googleapis.com/auth/calendar": {
"description": "Full access to Google Calendar"
},
"https://www.googleapis.com/auth/calendar.readonly": {
"description": "Read-only access to Google Calendar"
},
}
}
},
"schemas": {
"Calendar": {
"type": "object",
"description": "A calendar resource",
"properties": {
"id": {
"type": "string",
"description": "Calendar identifier",
},
"summary": {
"type": "string",
"description": "Calendar summary",
"required": True,
},
"timeZone": {
"type": "string",
"description": "Calendar timezone",
},
},
},
"Event": {
"type": "object",
"description": "An event resource",
"properties": {
"id": {"type": "string", "description": "Event identifier"},
"summary": {"type": "string", "description": "Event summary"},
"start": {"$ref": "EventDateTime"},
"end": {"$ref": "EventDateTime"},
"attendees": {
"type": "array",
"description": "Event attendees",
"items": {"$ref": "EventAttendee"},
},
},
},
"EventDateTime": {
"type": "object",
"description": "Date/time for an event",
"properties": {
"dateTime": {
"type": "string",
"format": "date-time",
"description": "Date/time in RFC3339 format",
},
"timeZone": {
"type": "string",
"description": "Timezone for the date/time",
},
},
},
"EventAttendee": {
"type": "object",
"description": "An attendee of an event",
"properties": {
"email": {"type": "string", "description": "Attendee email"},
"responseStatus": {
"type": "string",
"description": "Response status",
"enum": [
"needsAction",
"declined",
"tentative",
"accepted",
],
},
},
},
},
"resources": {
"calendars": {
"methods": {
"get": {
"id": "calendar.calendars.get",
"path": "calendars/{calendarId}",
"httpMethod": "GET",
"description": "Returns metadata for a calendar.",
"parameters": {
"calendarId": {
"type": "string",
"description": "Calendar identifier",
"required": True,
"location": "path",
}
},
"response": {"$ref": "Calendar"},
"scopes": [
"https://www.googleapis.com/auth/calendar",
"https://www.googleapis.com/auth/calendar.readonly",
],
},
"insert": {
"id": "calendar.calendars.insert",
"path": "calendars",
"httpMethod": "POST",
"description": "Creates a secondary calendar.",
"request": {"$ref": "Calendar"},
"response": {"$ref": "Calendar"},
"scopes": ["https://www.googleapis.com/auth/calendar"],
},
},
"resources": {
"events": {
"methods": {
"list": {
"id": "calendar.events.list",
"path": "calendars/{calendarId}/events",
"httpMethod": "GET",
"description": (
"Returns events on the specified calendar."
),
"parameters": {
"calendarId": {
"type": "string",
"description": "Calendar identifier",
"required": True,
"location": "path",
},
"maxResults": {
"type": "integer",
"description": (
"Maximum number of events returned"
),
"format": "int32",
"minimum": "1",
"maximum": "2500",
"default": "250",
"location": "query",
},
"orderBy": {
"type": "string",
"description": (
"Order of the events returned"
),
"enum": ["startTime", "updated"],
"location": "query",
},
},
"response": {"$ref": "Events"},
"scopes": [
"https://www.googleapis.com/auth/calendar",
"https://www.googleapis.com/auth/calendar.readonly",
],
}
}
}
},
}
},
}
@pytest.fixture
def converter():
"""Fixture that provides a basic converter instance."""
return GoogleApiToOpenApiConverter("calendar", "v3")
@pytest.fixture
def mock_api_resource(calendar_api_spec):
"""Fixture that provides a mock API resource with the test spec."""
mock_resource = MagicMock()
mock_resource._rootDesc = calendar_api_spec
return mock_resource
@pytest.fixture
def prepared_converter(converter, calendar_api_spec):
"""Fixture that provides a converter with the API spec already set."""
converter.google_api_spec = calendar_api_spec
return converter
@pytest.fixture
def converter_with_patched_build(monkeypatch, mock_api_resource):
"""Fixture that provides a converter with the build function patched.
This simulates a successful API spec fetch.
"""
# Create a mock for the build function
mock_build = MagicMock(return_value=mock_api_resource)
# Patch the build function in the target module
monkeypatch.setattr(
"google.adk.tools.google_api_tool.googleapi_to_openapi_converter.build",
mock_build,
)
# Create and return a converter instance
return GoogleApiToOpenApiConverter("calendar", "v3")
class TestGoogleApiToOpenApiConverter:
"""Test suite for the GoogleApiToOpenApiConverter class."""
def test_init(self, converter):
"""Test converter initialization."""
assert converter.api_name == "calendar"
assert converter.api_version == "v3"
assert converter.google_api_resource is None
assert converter.google_api_spec is None
assert converter.openapi_spec["openapi"] == "3.0.0"
assert "info" in converter.openapi_spec
assert "paths" in converter.openapi_spec
assert "components" in converter.openapi_spec
def test_fetch_google_api_spec(
self, converter_with_patched_build, calendar_api_spec
):
"""Test fetching Google API specification."""
# Call the method
converter_with_patched_build.fetch_google_api_spec()
# Verify the results
assert converter_with_patched_build.google_api_spec == calendar_api_spec
def test_fetch_google_api_spec_error(self, monkeypatch, converter):
"""Test error handling when fetching Google API specification."""
# Create a mock that raises an error
mock_build = MagicMock(
side_effect=HttpError(resp=MagicMock(status=404), content=b"Not Found")
)
monkeypatch.setattr(
"google.adk.tools.google_api_tool.googleapi_to_openapi_converter.build",
mock_build,
)
# Verify exception is raised
with pytest.raises(HttpError):
converter.fetch_google_api_spec()
def test_convert_info(self, prepared_converter):
"""Test conversion of basic API information."""
# Call the method
prepared_converter._convert_info()
# Verify the results
info = prepared_converter.openapi_spec["info"]
assert info["title"] == "Google Calendar API"
assert info["description"] == "Accesses the Google Calendar API"
assert info["version"] == "v3"
assert info["termsOfService"] == "https://developers.google.com/calendar/"
# Check external docs
external_docs = prepared_converter.openapi_spec["externalDocs"]
assert external_docs["url"] == "https://developers.google.com/calendar/"
def test_convert_servers(self, prepared_converter):
"""Test conversion of server information."""
# Call the method
prepared_converter._convert_servers()
# Verify the results
servers = prepared_converter.openapi_spec["servers"]
assert len(servers) == 1
assert servers[0]["url"] == "https://www.googleapis.com/calendar/v3"
assert servers[0]["description"] == "calendar v3 API"
def test_convert_security_schemes(self, prepared_converter):
"""Test conversion of security schemes."""
# Call the method
prepared_converter._convert_security_schemes()
# Verify the results
security_schemes = prepared_converter.openapi_spec["components"][
"securitySchemes"
]
# Check OAuth2 configuration
assert "oauth2" in security_schemes
oauth2 = security_schemes["oauth2"]
assert oauth2["type"] == "oauth2"
# Check OAuth2 scopes
scopes = oauth2["flows"]["authorizationCode"]["scopes"]
assert "https://www.googleapis.com/auth/calendar" in scopes
assert "https://www.googleapis.com/auth/calendar.readonly" in scopes
# Check API key configuration
assert "apiKey" in security_schemes
assert security_schemes["apiKey"]["type"] == "apiKey"
assert security_schemes["apiKey"]["in"] == "query"
assert security_schemes["apiKey"]["name"] == "key"
def test_convert_schemas(self, prepared_converter):
"""Test conversion of schema definitions."""
# Call the method
prepared_converter._convert_schemas()
# Verify the results
schemas = prepared_converter.openapi_spec["components"]["schemas"]
# Check Calendar schema
assert "Calendar" in schemas
calendar_schema = schemas["Calendar"]
assert calendar_schema["type"] == "object"
assert calendar_schema["description"] == "A calendar resource"
# Check required properties
assert "required" in calendar_schema
assert "summary" in calendar_schema["required"]
# Check Event schema references
assert "Event" in schemas
event_schema = schemas["Event"]
assert (
event_schema["properties"]["start"]["$ref"]
== "#/components/schemas/EventDateTime"
)
# Check array type with references
attendees_schema = event_schema["properties"]["attendees"]
assert attendees_schema["type"] == "array"
assert (
attendees_schema["items"]["$ref"]
== "#/components/schemas/EventAttendee"
)
# Check enum values
attendee_schema = schemas["EventAttendee"]
response_status = attendee_schema["properties"]["responseStatus"]
assert "enum" in response_status
assert "accepted" in response_status["enum"]
@pytest.mark.parametrize(
"schema_def, expected_type, expected_attrs",
[
# Test object type
(
{
"type": "object",
"description": "Test object",
"properties": {
"id": {"type": "string", "required": True},
"name": {"type": "string"},
},
},
"object",
{"description": "Test object", "required": ["id"]},
),
# Test array type
(
{
"type": "array",
"description": "Test array",
"items": {"type": "string"},
},
"array",
{"description": "Test array", "items": {"type": "string"}},
),
# Test reference conversion
(
{"$ref": "Calendar"},
None, # No type for references
{"$ref": "#/components/schemas/Calendar"},
),
# Test enum conversion
(
{"type": "string", "enum": ["value1", "value2"]},
"string",
{"enum": ["value1", "value2"]},
),
],
)
def test_convert_schema_object(
self, converter, schema_def, expected_type, expected_attrs
):
"""Test conversion of individual schema objects with different input variations."""
converted = converter._convert_schema_object(schema_def)
# Check type if expected
if expected_type:
assert converted["type"] == expected_type
# Check other expected attributes
for key, value in expected_attrs.items():
assert converted[key] == value
@pytest.mark.parametrize(
"path, expected_params",
[
# Path with parameters
(
"/calendars/{calendarId}/events/{eventId}",
["calendarId", "eventId"],
),
# Path without parameters
("/calendars/events", []),
# Mixed path
("/users/{userId}/calendars/default", ["userId"]),
],
)
def test_extract_path_parameters(self, converter, path, expected_params):
"""Test extraction of path parameters from URL path with various inputs."""
params = converter._extract_path_parameters(path)
assert set(params) == set(expected_params)
assert len(params) == len(expected_params)
@pytest.mark.parametrize(
"param_data, expected_result",
[
# String parameter
(
{
"type": "string",
"description": "String parameter",
"pattern": "^[a-z]+$",
},
{"type": "string", "pattern": "^[a-z]+$"},
),
# Integer parameter with format
(
{"type": "integer", "format": "int32", "default": "10"},
{"type": "integer", "format": "int32", "default": "10"},
),
# Enum parameter
(
{"type": "string", "enum": ["option1", "option2"]},
{"type": "string", "enum": ["option1", "option2"]},
),
],
)
def test_convert_parameter_schema(
self, converter, param_data, expected_result
):
"""Test conversion of parameter definitions to OpenAPI schemas."""
converted = converter._convert_parameter_schema(param_data)
# Check all expected attributes
for key, value in expected_result.items():
assert converted[key] == value
def test_convert(self, converter_with_patched_build):
"""Test the complete conversion process."""
# Call the method
result = converter_with_patched_build.convert()
# Verify basic structure
assert result["openapi"] == "3.0.0"
assert "info" in result
assert "servers" in result
assert "paths" in result
assert "components" in result
# Verify paths
paths = result["paths"]
assert "/calendars/{calendarId}" in paths
assert "get" in paths["/calendars/{calendarId}"]
# Verify nested resources
assert "/calendars/{calendarId}/events" in paths
# Verify method details
get_calendar = paths["/calendars/{calendarId}"]["get"]
assert get_calendar["operationId"] == "calendar.calendars.get"
assert "parameters" in get_calendar
# Verify request body
insert_calendar = paths["/calendars"]["post"]
assert "requestBody" in insert_calendar
request_schema = insert_calendar["requestBody"]["content"][
"application/json"
]["schema"]
assert request_schema["$ref"] == "#/components/schemas/Calendar"
# Verify response body
assert "responses" in get_calendar
response_schema = get_calendar["responses"]["200"]["content"][
"application/json"
]["schema"]
assert response_schema["$ref"] == "#/components/schemas/Calendar"
def test_convert_methods(self, prepared_converter, calendar_api_spec):
"""Test conversion of API methods."""
# Convert methods
methods = calendar_api_spec["resources"]["calendars"]["methods"]
prepared_converter._convert_methods(methods, "/calendars")
# Verify the results
paths = prepared_converter.openapi_spec["paths"]
# Check GET method
assert "/calendars/{calendarId}" in paths
get_method = paths["/calendars/{calendarId}"]["get"]
assert get_method["operationId"] == "calendar.calendars.get"
# Check parameters
params = get_method["parameters"]
param_names = [p["name"] for p in params]
assert "calendarId" in param_names
# Check POST method
assert "/calendars" in paths
post_method = paths["/calendars"]["post"]
assert post_method["operationId"] == "calendar.calendars.insert"
# Check request body
assert "requestBody" in post_method
assert (
post_method["requestBody"]["content"]["application/json"]["schema"][
"$ref"
]
== "#/components/schemas/Calendar"
)
# Check response
assert (
post_method["responses"]["200"]["content"]["application/json"][
"schema"
]["$ref"]
== "#/components/schemas/Calendar"
)
def test_convert_resources(self, prepared_converter, calendar_api_spec):
"""Test conversion of nested resources."""
# Convert resources
resources = calendar_api_spec["resources"]
prepared_converter._convert_resources(resources)
# Verify the results
paths = prepared_converter.openapi_spec["paths"]
# Check top-level resource methods
assert "/calendars/{calendarId}" in paths
# Check nested resource methods
assert "/calendars/{calendarId}/events" in paths
events_method = paths["/calendars/{calendarId}/events"]["get"]
assert events_method["operationId"] == "calendar.events.list"
# Check parameters in nested resource
params = events_method["parameters"]
param_names = [p["name"] for p in params]
assert "calendarId" in param_names
assert "maxResults" in param_names
assert "orderBy" in param_names
def test_integration_calendar_api(self, converter_with_patched_build):
"""Integration test using Calendar API specification."""
# Create and run the converter
openapi_spec = converter_with_patched_build.convert()
# Verify conversion results
assert openapi_spec["info"]["title"] == "Google Calendar API"
assert (
openapi_spec["servers"][0]["url"]
== "https://www.googleapis.com/calendar/v3"
)
# Check security schemes
security_schemes = openapi_spec["components"]["securitySchemes"]
assert "oauth2" in security_schemes
assert "apiKey" in security_schemes
# Check schemas
schemas = openapi_spec["components"]["schemas"]
assert "Calendar" in schemas
assert "Event" in schemas
assert "EventDateTime" in schemas
# Check paths
paths = openapi_spec["paths"]
assert "/calendars/{calendarId}" in paths
assert "/calendars" in paths
assert "/calendars/{calendarId}/events" in paths
# Check method details
get_events = paths["/calendars/{calendarId}/events"]["get"]
assert get_events["operationId"] == "calendar.events.list"
# Check parameter details
param_dict = {p["name"]: p for p in get_events["parameters"]}
assert "maxResults" in param_dict
max_results = param_dict["maxResults"]
assert max_results["in"] == "query"
assert max_results["schema"]["type"] == "integer"
assert max_results["schema"]["default"] == "250"
@pytest.fixture
def conftest_content():
"""Returns content for a conftest.py file to help with testing."""
return """
import pytest
from unittest.mock import MagicMock
# This file contains fixtures that can be shared across multiple test modules
@pytest.fixture
def mock_google_response():
\"\"\"Fixture that provides a mock response from Google's API.\"\"\"
return {"key": "value", "items": [{"id": 1}, {"id": 2}]}
@pytest.fixture
def mock_http_error():
\"\"\"Fixture that provides a mock HTTP error.\"\"\"
mock_resp = MagicMock()
mock_resp.status = 404
return HttpError(resp=mock_resp, content=b'Not Found')
"""
def test_generate_conftest_example(conftest_content):
"""This is a meta-test that demonstrates how to generate a conftest.py file.
In a real project, you would create a separate conftest.py file.
"""
# In a real scenario, you would write this to a file named conftest.py
# This test just verifies the conftest content is not empty
assert len(conftest_content) > 0

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# Copyright 2025 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.
"""Unit tests for AutoAuthCredentialExchanger."""
from typing import Dict
from typing import Optional
from typing import Type
from unittest.mock import MagicMock
from google.adk.auth.auth_credential import AuthCredential
from google.adk.auth.auth_credential import AuthCredentialTypes
from google.adk.auth.auth_schemes import AuthScheme
from google.adk.tools.openapi_tool.auth.credential_exchangers.auto_auth_credential_exchanger import AutoAuthCredentialExchanger
from google.adk.tools.openapi_tool.auth.credential_exchangers.base_credential_exchanger import BaseAuthCredentialExchanger
from google.adk.tools.openapi_tool.auth.credential_exchangers.oauth2_exchanger import OAuth2CredentialExchanger
from google.adk.tools.openapi_tool.auth.credential_exchangers.service_account_exchanger import ServiceAccountCredentialExchanger
import pytest
class MockCredentialExchanger(BaseAuthCredentialExchanger):
"""Mock credential exchanger for testing."""
def exchange_credential(
self,
auth_scheme: AuthScheme,
auth_credential: Optional[AuthCredential] = None,
) -> AuthCredential:
"""Mock exchange credential method."""
return auth_credential
@pytest.fixture
def auto_exchanger():
"""Fixture for creating an AutoAuthCredentialExchanger instance."""
return AutoAuthCredentialExchanger()
@pytest.fixture
def auth_scheme():
"""Fixture for creating a mock AuthScheme instance."""
scheme = MagicMock(spec=AuthScheme)
return scheme
def test_init_with_custom_exchangers():
"""Test initialization with custom exchangers."""
custom_exchangers: Dict[str, Type[BaseAuthCredentialExchanger]] = {
AuthCredentialTypes.API_KEY: MockCredentialExchanger
}
auto_exchanger = AutoAuthCredentialExchanger(
custom_exchangers=custom_exchangers
)
assert (
auto_exchanger.exchangers[AuthCredentialTypes.API_KEY]
== MockCredentialExchanger
)
assert (
auto_exchanger.exchangers[AuthCredentialTypes.OPEN_ID_CONNECT]
== OAuth2CredentialExchanger
)
def test_exchange_credential_no_auth_credential(auto_exchanger, auth_scheme):
"""Test exchange_credential with no auth_credential."""
assert auto_exchanger.exchange_credential(auth_scheme, None) is None
def test_exchange_credential_no_exchange(auto_exchanger, auth_scheme):
"""Test exchange_credential with NoExchangeCredentialExchanger."""
auth_credential = AuthCredential(auth_type=AuthCredentialTypes.API_KEY)
result = auto_exchanger.exchange_credential(auth_scheme, auth_credential)
assert result == auth_credential
def test_exchange_credential_open_id_connect(auto_exchanger, auth_scheme):
"""Test exchange_credential with OpenID Connect scheme."""
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.OPEN_ID_CONNECT
)
mock_exchanger = MagicMock(spec=OAuth2CredentialExchanger)
mock_exchanger.exchange_credential.return_value = "exchanged_credential"
auto_exchanger.exchangers[AuthCredentialTypes.OPEN_ID_CONNECT] = (
lambda: mock_exchanger
)
result = auto_exchanger.exchange_credential(auth_scheme, auth_credential)
assert result == "exchanged_credential"
mock_exchanger.exchange_credential.assert_called_once_with(
auth_scheme, auth_credential
)
def test_exchange_credential_service_account(auto_exchanger, auth_scheme):
"""Test exchange_credential with Service Account scheme."""
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.SERVICE_ACCOUNT
)
mock_exchanger = MagicMock(spec=ServiceAccountCredentialExchanger)
mock_exchanger.exchange_credential.return_value = "exchanged_credential_sa"
auto_exchanger.exchangers[AuthCredentialTypes.SERVICE_ACCOUNT] = (
lambda: mock_exchanger
)
result = auto_exchanger.exchange_credential(auth_scheme, auth_credential)
assert result == "exchanged_credential_sa"
mock_exchanger.exchange_credential.assert_called_once_with(
auth_scheme, auth_credential
)
def test_exchange_credential_custom_exchanger(auto_exchanger, auth_scheme):
"""Test that exchange_credential calls the correct (custom) exchanger."""
# Use a custom exchanger via the initialization
mock_exchanger = MagicMock(spec=MockCredentialExchanger)
mock_exchanger.exchange_credential.return_value = "custom_credential"
auto_exchanger.exchangers[AuthCredentialTypes.API_KEY] = (
lambda: mock_exchanger
)
auth_credential = AuthCredential(auth_type=AuthCredentialTypes.API_KEY)
result = auto_exchanger.exchange_credential(auth_scheme, auth_credential)
assert result == "custom_credential"
mock_exchanger.exchange_credential.assert_called_once_with(
auth_scheme, auth_credential
)

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# Copyright 2025 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.
"""Tests for the BaseAuthCredentialExchanger class."""
from typing import Optional
from unittest.mock import MagicMock
from google.adk.auth.auth_credential import AuthCredential
from google.adk.auth.auth_credential import AuthCredentialTypes
from google.adk.auth.auth_schemes import AuthScheme
from google.adk.tools.openapi_tool.auth.credential_exchangers.base_credential_exchanger import AuthCredentialMissingError
from google.adk.tools.openapi_tool.auth.credential_exchangers.base_credential_exchanger import BaseAuthCredentialExchanger
import pytest
class MockAuthCredentialExchanger(BaseAuthCredentialExchanger):
def exchange_credential(
self,
auth_scheme: AuthScheme,
auth_credential: Optional[AuthCredential] = None,
) -> AuthCredential:
return AuthCredential(token="some-token")
class TestBaseAuthCredentialExchanger:
"""Tests for the BaseAuthCredentialExchanger class."""
@pytest.fixture
def base_exchanger(self):
return BaseAuthCredentialExchanger()
@pytest.fixture
def auth_scheme(self):
scheme = MagicMock(spec=AuthScheme)
scheme.type = "apiKey"
scheme.name = "x-api-key"
return scheme
def test_exchange_credential_not_implemented(
self, base_exchanger, auth_scheme
):
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.API_KEY, token="some-token"
)
with pytest.raises(NotImplementedError) as exc_info:
base_exchanger.exchange_credential(auth_scheme, auth_credential)
assert "Subclasses must implement exchange_credential." in str(
exc_info.value
)
def test_auth_credential_missing_error(self):
error_message = "Test missing credential"
error = AuthCredentialMissingError(error_message)
# assert error.message == error_message
assert str(error) == error_message

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# Copyright 2025 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.
"""Tests for OAuth2CredentialExchanger."""
import copy
from unittest.mock import MagicMock
from google.adk.auth.auth_credential import AuthCredential
from google.adk.auth.auth_credential import AuthCredentialTypes
from google.adk.auth.auth_credential import OAuth2Auth
from google.adk.auth.auth_schemes import AuthSchemeType
from google.adk.auth.auth_schemes import OpenIdConnectWithConfig
from google.adk.tools.openapi_tool.auth.credential_exchangers import OAuth2CredentialExchanger
from google.adk.tools.openapi_tool.auth.credential_exchangers.base_credential_exchanger import AuthCredentialMissingError
import pytest
@pytest.fixture
def oauth2_exchanger():
return OAuth2CredentialExchanger()
@pytest.fixture
def auth_scheme():
openid_config = OpenIdConnectWithConfig(
type_=AuthSchemeType.openIdConnect,
authorization_endpoint="https://example.com/auth",
token_endpoint="https://example.com/token",
scopes=["openid", "profile"],
)
return openid_config
def test_check_scheme_credential_type_success(oauth2_exchanger, auth_scheme):
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id="test_client",
client_secret="test_secret",
redirect_uri="http://localhost:8080",
),
)
# Check that the method does not raise an exception
oauth2_exchanger._check_scheme_credential_type(auth_scheme, auth_credential)
def test_check_scheme_credential_type_missing_credential(
oauth2_exchanger, auth_scheme
):
# Test case: auth_credential is None
with pytest.raises(ValueError) as exc_info:
oauth2_exchanger._check_scheme_credential_type(auth_scheme, None)
assert "auth_credential is empty" in str(exc_info.value)
def test_check_scheme_credential_type_invalid_scheme_type(
oauth2_exchanger, auth_scheme: OpenIdConnectWithConfig
):
"""Test case: Invalid AuthSchemeType."""
# Test case: Invalid AuthSchemeType
invalid_scheme = copy.deepcopy(auth_scheme)
invalid_scheme.type_ = AuthSchemeType.apiKey
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id="test_client",
client_secret="test_secret",
redirect_uri="http://localhost:8080",
),
)
with pytest.raises(ValueError) as exc_info:
oauth2_exchanger._check_scheme_credential_type(
invalid_scheme, auth_credential
)
assert "Invalid security scheme" in str(exc_info.value)
def test_check_scheme_credential_type_missing_openid_connect(
oauth2_exchanger, auth_scheme
):
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
)
with pytest.raises(ValueError) as exc_info:
oauth2_exchanger._check_scheme_credential_type(auth_scheme, auth_credential)
assert "auth_credential is not configured with oauth2" in str(exc_info.value)
def test_generate_auth_token_success(
oauth2_exchanger, auth_scheme, monkeypatch
):
"""Test case: Successful generation of access token."""
# Test case: Successful generation of access token
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id="test_client",
client_secret="test_secret",
redirect_uri="http://localhost:8080",
auth_response_uri="https://example.com/callback?code=test_code",
token={"access_token": "test_access_token"},
),
)
updated_credential = oauth2_exchanger.generate_auth_token(auth_credential)
assert updated_credential.auth_type == AuthCredentialTypes.HTTP
assert updated_credential.http.scheme == "bearer"
assert updated_credential.http.credentials.token == "test_access_token"
def test_exchange_credential_generate_auth_token(
oauth2_exchanger, auth_scheme, monkeypatch
):
"""Test exchange_credential when auth_response_uri is present."""
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.OAUTH2,
oauth2=OAuth2Auth(
client_id="test_client",
client_secret="test_secret",
redirect_uri="http://localhost:8080",
auth_response_uri="https://example.com/callback?code=test_code",
token={"access_token": "test_access_token"},
),
)
updated_credential = oauth2_exchanger.exchange_credential(
auth_scheme, auth_credential
)
assert updated_credential.auth_type == AuthCredentialTypes.HTTP
assert updated_credential.http.scheme == "bearer"
assert updated_credential.http.credentials.token == "test_access_token"
def test_exchange_credential_auth_missing(oauth2_exchanger, auth_scheme):
"""Test exchange_credential when auth_credential is missing."""
with pytest.raises(ValueError) as exc_info:
oauth2_exchanger.exchange_credential(auth_scheme, None)
assert "auth_credential is empty. Please create AuthCredential using" in str(
exc_info.value
)

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# Copyright 2025 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.
"""Unit tests for the service account credential exchanger."""
from unittest.mock import MagicMock
from google.adk.auth.auth_credential import AuthCredential
from google.adk.auth.auth_credential import AuthCredentialTypes
from google.adk.auth.auth_credential import ServiceAccount
from google.adk.auth.auth_credential import ServiceAccountCredential
from google.adk.auth.auth_schemes import AuthScheme
from google.adk.auth.auth_schemes import AuthSchemeType
from google.adk.tools.openapi_tool.auth.credential_exchangers.base_credential_exchanger import AuthCredentialMissingError
from google.adk.tools.openapi_tool.auth.credential_exchangers.service_account_exchanger import ServiceAccountCredentialExchanger
import google.auth
import pytest
@pytest.fixture
def service_account_exchanger():
return ServiceAccountCredentialExchanger()
@pytest.fixture
def auth_scheme():
scheme = MagicMock(spec=AuthScheme)
scheme.type_ = AuthSchemeType.oauth2
scheme.description = "Google Service Account"
return scheme
def test_exchange_credential_success(
service_account_exchanger, auth_scheme, monkeypatch
):
"""Test successful exchange of service account credentials."""
mock_credentials = MagicMock()
mock_credentials.token = "mock_access_token"
# Mock the from_service_account_info method
mock_from_service_account_info = MagicMock(return_value=mock_credentials)
target_path = (
"google.adk.tools.openapi_tool.auth.credential_exchangers."
"service_account_exchanger.service_account.Credentials."
"from_service_account_info"
)
monkeypatch.setattr(
target_path,
mock_from_service_account_info,
)
# Mock the refresh method
mock_credentials.refresh = MagicMock()
# Create a valid AuthCredential with service account info
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.SERVICE_ACCOUNT,
service_account=ServiceAccount(
service_account_credential=ServiceAccountCredential(
type_="service_account",
project_id="your_project_id",
private_key_id="your_private_key_id",
private_key="-----BEGIN PRIVATE KEY-----...",
client_email="...@....iam.gserviceaccount.com",
client_id="your_client_id",
auth_uri="https://accounts.google.com/o/oauth2/auth",
token_uri="https://oauth2.googleapis.com/token",
auth_provider_x509_cert_url=(
"https://www.googleapis.com/oauth2/v1/certs"
),
client_x509_cert_url=(
"https://www.googleapis.com/robot/v1/metadata/x509/..."
),
universe_domain="googleapis.com",
),
scopes=["https://www.googleapis.com/auth/cloud-platform"],
),
)
result = service_account_exchanger.exchange_credential(
auth_scheme, auth_credential
)
assert result.auth_type == AuthCredentialTypes.HTTP
assert result.http.scheme == "bearer"
assert result.http.credentials.token == "mock_access_token"
mock_from_service_account_info.assert_called_once()
mock_credentials.refresh.assert_called_once()
def test_exchange_credential_use_default_credential_success(
service_account_exchanger, auth_scheme, monkeypatch
):
"""Test successful exchange of service account credentials using default credential."""
mock_credentials = MagicMock()
mock_credentials.token = "mock_access_token"
mock_google_auth_default = MagicMock(
return_value=(mock_credentials, "test_project")
)
monkeypatch.setattr(google.auth, "default", mock_google_auth_default)
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.SERVICE_ACCOUNT,
service_account=ServiceAccount(
use_default_credential=True,
scopes=["https://www.googleapis.com/auth/cloud-platform"],
),
)
result = service_account_exchanger.exchange_credential(
auth_scheme, auth_credential
)
assert result.auth_type == AuthCredentialTypes.HTTP
assert result.http.scheme == "bearer"
assert result.http.credentials.token == "mock_access_token"
mock_google_auth_default.assert_called_once()
mock_credentials.refresh.assert_called_once()
def test_exchange_credential_missing_auth_credential(
service_account_exchanger, auth_scheme
):
"""Test missing auth credential during exchange."""
with pytest.raises(AuthCredentialMissingError) as exc_info:
service_account_exchanger.exchange_credential(auth_scheme, None)
assert "Service account credentials are missing" in str(exc_info.value)
def test_exchange_credential_missing_service_account_info(
service_account_exchanger, auth_scheme
):
"""Test missing service account info during exchange."""
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.SERVICE_ACCOUNT,
)
with pytest.raises(AuthCredentialMissingError) as exc_info:
service_account_exchanger.exchange_credential(auth_scheme, auth_credential)
assert "Service account credentials are missing" in str(exc_info.value)
def test_exchange_credential_exchange_failure(
service_account_exchanger, auth_scheme, monkeypatch
):
"""Test failure during service account token exchange."""
mock_from_service_account_info = MagicMock(
side_effect=Exception("Failed to load credentials")
)
target_path = (
"google.adk.tools.openapi_tool.auth.credential_exchangers."
"service_account_exchanger.service_account.Credentials."
"from_service_account_info"
)
monkeypatch.setattr(
target_path,
mock_from_service_account_info,
)
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.SERVICE_ACCOUNT,
service_account=ServiceAccount(
service_account_credential=ServiceAccountCredential(
type_="service_account",
project_id="your_project_id",
private_key_id="your_private_key_id",
private_key="-----BEGIN PRIVATE KEY-----...",
client_email="...@....iam.gserviceaccount.com",
client_id="your_client_id",
auth_uri="https://accounts.google.com/o/oauth2/auth",
token_uri="https://oauth2.googleapis.com/token",
auth_provider_x509_cert_url=(
"https://www.googleapis.com/oauth2/v1/certs"
),
client_x509_cert_url=(
"https://www.googleapis.com/robot/v1/metadata/x509/..."
),
universe_domain="googleapis.com",
),
scopes=["https://www.googleapis.com/auth/cloud-platform"],
),
)
with pytest.raises(AuthCredentialMissingError) as exc_info:
service_account_exchanger.exchange_credential(auth_scheme, auth_credential)
assert "Failed to exchange service account token" in str(exc_info.value)
mock_from_service_account_info.assert_called_once()

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# Copyright 2025 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 patch
from fastapi.openapi.models import APIKey
from fastapi.openapi.models import APIKeyIn
from fastapi.openapi.models import HTTPBase
from fastapi.openapi.models import HTTPBearer
from fastapi.openapi.models import OAuth2
from fastapi.openapi.models import OpenIdConnect
from google.adk.auth.auth_credential import AuthCredential
from google.adk.auth.auth_credential import AuthCredentialTypes
from google.adk.auth.auth_credential import HttpAuth
from google.adk.auth.auth_credential import HttpCredentials
from google.adk.auth.auth_credential import ServiceAccount
from google.adk.auth.auth_credential import ServiceAccountCredential
from google.adk.auth.auth_schemes import AuthSchemeType
from google.adk.auth.auth_schemes import OpenIdConnectWithConfig
from google.adk.tools.openapi_tool.auth.auth_helpers import credential_to_param
from google.adk.tools.openapi_tool.auth.auth_helpers import dict_to_auth_scheme
from google.adk.tools.openapi_tool.auth.auth_helpers import INTERNAL_AUTH_PREFIX
from google.adk.tools.openapi_tool.auth.auth_helpers import openid_dict_to_scheme_credential
from google.adk.tools.openapi_tool.auth.auth_helpers import openid_url_to_scheme_credential
from google.adk.tools.openapi_tool.auth.auth_helpers import service_account_dict_to_scheme_credential
from google.adk.tools.openapi_tool.auth.auth_helpers import service_account_scheme_credential
from google.adk.tools.openapi_tool.auth.auth_helpers import token_to_scheme_credential
import pytest
import requests
def test_token_to_scheme_credential_api_key_header():
scheme, credential = token_to_scheme_credential(
"apikey", "header", "X-API-Key", "test_key"
)
assert isinstance(scheme, APIKey)
assert scheme.type_ == AuthSchemeType.apiKey
assert scheme.in_ == APIKeyIn.header
assert scheme.name == "X-API-Key"
assert credential == AuthCredential(
auth_type=AuthCredentialTypes.API_KEY, api_key="test_key"
)
def test_token_to_scheme_credential_api_key_query():
scheme, credential = token_to_scheme_credential(
"apikey", "query", "api_key", "test_key"
)
assert isinstance(scheme, APIKey)
assert scheme.type_ == AuthSchemeType.apiKey
assert scheme.in_ == APIKeyIn.query
assert scheme.name == "api_key"
assert credential == AuthCredential(
auth_type=AuthCredentialTypes.API_KEY, api_key="test_key"
)
def test_token_to_scheme_credential_api_key_cookie():
scheme, credential = token_to_scheme_credential(
"apikey", "cookie", "session_id", "test_key"
)
assert isinstance(scheme, APIKey)
assert scheme.type_ == AuthSchemeType.apiKey
assert scheme.in_ == APIKeyIn.cookie
assert scheme.name == "session_id"
assert credential == AuthCredential(
auth_type=AuthCredentialTypes.API_KEY, api_key="test_key"
)
def test_token_to_scheme_credential_api_key_no_credential():
scheme, credential = token_to_scheme_credential(
"apikey", "cookie", "session_id"
)
assert isinstance(scheme, APIKey)
assert credential is None
def test_token_to_scheme_credential_oauth2_token():
scheme, credential = token_to_scheme_credential(
"oauth2Token", "header", "Authorization", "test_token"
)
assert isinstance(scheme, HTTPBearer)
assert scheme.bearerFormat == "JWT"
assert credential == AuthCredential(
auth_type=AuthCredentialTypes.HTTP,
http=HttpAuth(
scheme="bearer", credentials=HttpCredentials(token="test_token")
),
)
def test_token_to_scheme_credential_oauth2_no_credential():
scheme, credential = token_to_scheme_credential(
"oauth2Token", "header", "Authorization"
)
assert isinstance(scheme, HTTPBearer)
assert credential is None
def test_service_account_dict_to_scheme_credential():
config = {
"type": "service_account",
"project_id": "project_id",
"private_key_id": "private_key_id",
"private_key": "private_key",
"client_email": "client_email",
"client_id": "client_id",
"auth_uri": "auth_uri",
"token_uri": "token_uri",
"auth_provider_x509_cert_url": "auth_provider_x509_cert_url",
"client_x509_cert_url": "client_x509_cert_url",
"universe_domain": "universe_domain",
}
scopes = ["scope1", "scope2"]
scheme, credential = service_account_dict_to_scheme_credential(config, scopes)
assert isinstance(scheme, HTTPBearer)
assert scheme.bearerFormat == "JWT"
assert credential.auth_type == AuthCredentialTypes.SERVICE_ACCOUNT
assert credential.service_account.scopes == scopes
assert (
credential.service_account.service_account_credential.project_id
== "project_id"
)
def test_service_account_scheme_credential():
config = ServiceAccount(
service_account_credential=ServiceAccountCredential(
type="service_account",
project_id="project_id",
private_key_id="private_key_id",
private_key="private_key",
client_email="client_email",
client_id="client_id",
auth_uri="auth_uri",
token_uri="token_uri",
auth_provider_x509_cert_url="auth_provider_x509_cert_url",
client_x509_cert_url="client_x509_cert_url",
universe_domain="universe_domain",
),
scopes=["scope1", "scope2"],
)
scheme, credential = service_account_scheme_credential(config)
assert isinstance(scheme, HTTPBearer)
assert scheme.bearerFormat == "JWT"
assert credential.auth_type == AuthCredentialTypes.SERVICE_ACCOUNT
assert credential.service_account == config
def test_openid_dict_to_scheme_credential():
config_dict = {
"authorization_endpoint": "auth_url",
"token_endpoint": "token_url",
"openIdConnectUrl": "openid_url",
}
credential_dict = {
"client_id": "client_id",
"client_secret": "client_secret",
"redirect_uri": "redirect_uri",
}
scopes = ["scope1", "scope2"]
scheme, credential = openid_dict_to_scheme_credential(
config_dict, scopes, credential_dict
)
assert isinstance(scheme, OpenIdConnectWithConfig)
assert scheme.authorization_endpoint == "auth_url"
assert scheme.token_endpoint == "token_url"
assert scheme.scopes == scopes
assert credential.auth_type == AuthCredentialTypes.OPEN_ID_CONNECT
assert credential.oauth2.client_id == "client_id"
assert credential.oauth2.client_secret == "client_secret"
assert credential.oauth2.redirect_uri == "redirect_uri"
def test_openid_dict_to_scheme_credential_no_openid_url():
config_dict = {
"authorization_endpoint": "auth_url",
"token_endpoint": "token_url",
}
credential_dict = {
"client_id": "client_id",
"client_secret": "client_secret",
"redirect_uri": "redirect_uri",
}
scopes = ["scope1", "scope2"]
scheme, credential = openid_dict_to_scheme_credential(
config_dict, scopes, credential_dict
)
assert scheme.openIdConnectUrl == ""
def test_openid_dict_to_scheme_credential_google_oauth_credential():
config_dict = {
"authorization_endpoint": "auth_url",
"token_endpoint": "token_url",
"openIdConnectUrl": "openid_url",
}
credential_dict = {
"web": {
"client_id": "client_id",
"client_secret": "client_secret",
"redirect_uri": "redirect_uri",
}
}
scopes = ["scope1", "scope2"]
scheme, credential = openid_dict_to_scheme_credential(
config_dict, scopes, credential_dict
)
assert isinstance(scheme, OpenIdConnectWithConfig)
assert credential.auth_type == AuthCredentialTypes.OPEN_ID_CONNECT
assert credential.oauth2.client_id == "client_id"
assert credential.oauth2.client_secret == "client_secret"
assert credential.oauth2.redirect_uri == "redirect_uri"
def test_openid_dict_to_scheme_credential_invalid_config():
config_dict = {
"invalid_field": "value",
}
credential_dict = {
"client_id": "client_id",
"client_secret": "client_secret",
}
scopes = ["scope1", "scope2"]
with pytest.raises(ValueError, match="Invalid OpenID Connect configuration"):
openid_dict_to_scheme_credential(config_dict, scopes, credential_dict)
def test_openid_dict_to_scheme_credential_missing_credential_fields():
config_dict = {
"authorization_endpoint": "auth_url",
"token_endpoint": "token_url",
}
credential_dict = {
"client_id": "client_id",
}
scopes = ["scope1", "scope2"]
with pytest.raises(
ValueError,
match="Missing required fields in credential_dict: client_secret",
):
openid_dict_to_scheme_credential(config_dict, scopes, credential_dict)
@patch("requests.get")
def test_openid_url_to_scheme_credential(mock_get):
mock_response = {
"authorization_endpoint": "auth_url",
"token_endpoint": "token_url",
"userinfo_endpoint": "userinfo_url",
}
mock_get.return_value.json.return_value = mock_response
mock_get.return_value.raise_for_status.return_value = None
credential_dict = {
"client_id": "client_id",
"client_secret": "client_secret",
"redirect_uri": "redirect_uri",
}
scopes = ["scope1", "scope2"]
scheme, credential = openid_url_to_scheme_credential(
"openid_url", scopes, credential_dict
)
assert isinstance(scheme, OpenIdConnectWithConfig)
assert scheme.authorization_endpoint == "auth_url"
assert scheme.token_endpoint == "token_url"
assert scheme.scopes == scopes
assert credential.auth_type == AuthCredentialTypes.OPEN_ID_CONNECT
assert credential.oauth2.client_id == "client_id"
assert credential.oauth2.client_secret == "client_secret"
assert credential.oauth2.redirect_uri == "redirect_uri"
mock_get.assert_called_once_with("openid_url", timeout=10)
@patch("requests.get")
def test_openid_url_to_scheme_credential_no_openid_url(mock_get):
mock_response = {
"authorization_endpoint": "auth_url",
"token_endpoint": "token_url",
"userinfo_endpoint": "userinfo_url",
}
mock_get.return_value.json.return_value = mock_response
mock_get.return_value.raise_for_status.return_value = None
credential_dict = {
"client_id": "client_id",
"client_secret": "client_secret",
"redirect_uri": "redirect_uri",
}
scopes = ["scope1", "scope2"]
scheme, credential = openid_url_to_scheme_credential(
"openid_url", scopes, credential_dict
)
assert scheme.openIdConnectUrl == "openid_url"
@patch("requests.get")
def test_openid_url_to_scheme_credential_request_exception(mock_get):
mock_get.side_effect = requests.exceptions.RequestException("Test Error")
credential_dict = {"client_id": "client_id", "client_secret": "client_secret"}
with pytest.raises(
ValueError, match="Failed to fetch OpenID configuration from openid_url"
):
openid_url_to_scheme_credential("openid_url", [], credential_dict)
@patch("requests.get")
def test_openid_url_to_scheme_credential_invalid_json(mock_get):
mock_get.return_value.json.side_effect = ValueError("Invalid JSON")
mock_get.return_value.raise_for_status.return_value = None
credential_dict = {"client_id": "client_id", "client_secret": "client_secret"}
with pytest.raises(
ValueError,
match=(
"Invalid JSON response from OpenID configuration endpoint openid_url"
),
):
openid_url_to_scheme_credential("openid_url", [], credential_dict)
def test_credential_to_param_api_key_header():
auth_scheme = APIKey(
**{"type": "apiKey", "in": "header", "name": "X-API-Key"}
)
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.API_KEY, api_key="test_key"
)
param, kwargs = credential_to_param(auth_scheme, auth_credential)
assert param.original_name == "X-API-Key"
assert param.param_location == "header"
assert kwargs == {INTERNAL_AUTH_PREFIX + "X-API-Key": "test_key"}
def test_credential_to_param_api_key_query():
auth_scheme = APIKey(**{"type": "apiKey", "in": "query", "name": "api_key"})
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.API_KEY, api_key="test_key"
)
param, kwargs = credential_to_param(auth_scheme, auth_credential)
assert param.original_name == "api_key"
assert param.param_location == "query"
assert kwargs == {INTERNAL_AUTH_PREFIX + "api_key": "test_key"}
def test_credential_to_param_api_key_cookie():
auth_scheme = APIKey(
**{"type": "apiKey", "in": "cookie", "name": "session_id"}
)
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.API_KEY, api_key="test_key"
)
param, kwargs = credential_to_param(auth_scheme, auth_credential)
assert param.original_name == "session_id"
assert param.param_location == "cookie"
assert kwargs == {INTERNAL_AUTH_PREFIX + "session_id": "test_key"}
def test_credential_to_param_http_bearer():
auth_scheme = HTTPBearer(bearerFormat="JWT")
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.HTTP,
http=HttpAuth(
scheme="bearer", credentials=HttpCredentials(token="test_token")
),
)
param, kwargs = credential_to_param(auth_scheme, auth_credential)
assert param.original_name == "Authorization"
assert param.param_location == "header"
assert kwargs == {INTERNAL_AUTH_PREFIX + "Authorization": "Bearer test_token"}
def test_credential_to_param_http_basic_not_supported():
auth_scheme = HTTPBase(scheme="basic")
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.HTTP,
http=HttpAuth(
scheme="basic",
credentials=HttpCredentials(username="user", password="password"),
),
)
with pytest.raises(
NotImplementedError, match="Basic Authentication is not supported."
):
credential_to_param(auth_scheme, auth_credential)
def test_credential_to_param_http_invalid_credentials_no_http():
auth_scheme = HTTPBase(scheme="basic")
auth_credential = AuthCredential(auth_type=AuthCredentialTypes.HTTP)
with pytest.raises(ValueError, match="Invalid HTTP auth credentials"):
credential_to_param(auth_scheme, auth_credential)
def test_credential_to_param_oauth2():
auth_scheme = OAuth2(flows={})
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.HTTP,
http=HttpAuth(
scheme="bearer", credentials=HttpCredentials(token="test_token")
),
)
param, kwargs = credential_to_param(auth_scheme, auth_credential)
assert param.original_name == "Authorization"
assert param.param_location == "header"
assert kwargs == {INTERNAL_AUTH_PREFIX + "Authorization": "Bearer test_token"}
def test_credential_to_param_openid_connect():
auth_scheme = OpenIdConnect(openIdConnectUrl="openid_url")
auth_credential = AuthCredential(
auth_type=AuthCredentialTypes.HTTP,
http=HttpAuth(
scheme="bearer", credentials=HttpCredentials(token="test_token")
),
)
param, kwargs = credential_to_param(auth_scheme, auth_credential)
assert param.original_name == "Authorization"
assert param.param_location == "header"
assert kwargs == {INTERNAL_AUTH_PREFIX + "Authorization": "Bearer test_token"}
def test_credential_to_param_openid_no_credential():
auth_scheme = OpenIdConnect(openIdConnectUrl="openid_url")
param, kwargs = credential_to_param(auth_scheme, None)
assert param == None
assert kwargs == None
def test_credential_to_param_oauth2_no_credential():
auth_scheme = OAuth2(flows={})
param, kwargs = credential_to_param(auth_scheme, None)
assert param == None
assert kwargs == None
def test_dict_to_auth_scheme_api_key():
data = {"type": "apiKey", "in": "header", "name": "X-API-Key"}
scheme = dict_to_auth_scheme(data)
assert isinstance(scheme, APIKey)
assert scheme.type_ == AuthSchemeType.apiKey
assert scheme.in_ == APIKeyIn.header
assert scheme.name == "X-API-Key"
def test_dict_to_auth_scheme_http_bearer():
data = {"type": "http", "scheme": "bearer", "bearerFormat": "JWT"}
scheme = dict_to_auth_scheme(data)
assert isinstance(scheme, HTTPBearer)
assert scheme.scheme == "bearer"
assert scheme.bearerFormat == "JWT"
def test_dict_to_auth_scheme_http_base():
data = {"type": "http", "scheme": "basic"}
scheme = dict_to_auth_scheme(data)
assert isinstance(scheme, HTTPBase)
assert scheme.scheme == "basic"
def test_dict_to_auth_scheme_oauth2():
data = {
"type": "oauth2",
"flows": {
"authorizationCode": {
"authorizationUrl": "https://example.com/auth",
"tokenUrl": "https://example.com/token",
}
},
}
scheme = dict_to_auth_scheme(data)
assert isinstance(scheme, OAuth2)
assert hasattr(scheme.flows, "authorizationCode")
def test_dict_to_auth_scheme_openid_connect():
data = {
"type": "openIdConnect",
"openIdConnectUrl": (
"https://example.com/.well-known/openid-configuration"
),
}
scheme = dict_to_auth_scheme(data)
assert isinstance(scheme, OpenIdConnect)
assert (
scheme.openIdConnectUrl
== "https://example.com/.well-known/openid-configuration"
)
def test_dict_to_auth_scheme_missing_type():
data = {"in": "header", "name": "X-API-Key"}
with pytest.raises(
ValueError, match="Missing 'type' field in security scheme dictionary."
):
dict_to_auth_scheme(data)
def test_dict_to_auth_scheme_invalid_type():
data = {"type": "invalid", "in": "header", "name": "X-API-Key"}
with pytest.raises(ValueError, match="Invalid security scheme type: invalid"):
dict_to_auth_scheme(data)
def test_dict_to_auth_scheme_invalid_data():
data = {"type": "apiKey", "in": "header"} # Missing 'name'
with pytest.raises(ValueError, match="Invalid security scheme data"):
dict_to_auth_scheme(data)
if __name__ == "__main__":
pytest.main([__file__])

View File

@@ -0,0 +1,436 @@
# Copyright 2025 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 typing import Any
from typing import Dict
from typing import List
from fastapi.openapi.models import Response, Schema
from google.adk.tools.openapi_tool.common.common import ApiParameter
from google.adk.tools.openapi_tool.common.common import PydocHelper
from google.adk.tools.openapi_tool.common.common import rename_python_keywords
from google.adk.tools.openapi_tool.common.common import to_snake_case
from google.adk.tools.openapi_tool.common.common import TypeHintHelper
import pytest
def dict_to_responses(input: Dict[str, Any]) -> Dict[str, Response]:
return {k: Response.model_validate(input[k]) for k in input}
class TestToSnakeCase:
@pytest.mark.parametrize(
'input_str, expected_output',
[
('lowerCamelCase', 'lower_camel_case'),
('UpperCamelCase', 'upper_camel_case'),
('space separated', 'space_separated'),
('REST API', 'rest_api'),
('Mixed_CASE with_Spaces', 'mixed_case_with_spaces'),
('__init__', 'init'),
('APIKey', 'api_key'),
('SomeLongURL', 'some_long_url'),
('CONSTANT_CASE', 'constant_case'),
('already_snake_case', 'already_snake_case'),
('single', 'single'),
('', ''),
(' spaced ', 'spaced'),
('with123numbers', 'with123numbers'),
('With_Mixed_123_and_SPACES', 'with_mixed_123_and_spaces'),
('HTMLParser', 'html_parser'),
('HTTPResponseCode', 'http_response_code'),
('a_b_c', 'a_b_c'),
('A_B_C', 'a_b_c'),
('fromAtoB', 'from_ato_b'),
('XMLHTTPRequest', 'xmlhttp_request'),
('_leading', 'leading'),
('trailing_', 'trailing'),
(' leading_and_trailing_ ', 'leading_and_trailing'),
('Multiple___Underscores', 'multiple_underscores'),
(' spaces_and___underscores ', 'spaces_and_underscores'),
(' _mixed_Case ', 'mixed_case'),
('123Start', '123_start'),
('End123', 'end123'),
('Mid123dle', 'mid123dle'),
],
)
def test_to_snake_case(self, input_str, expected_output):
assert to_snake_case(input_str) == expected_output
class TestRenamePythonKeywords:
@pytest.mark.parametrize(
'input_str, expected_output',
[
('in', 'param_in'),
('for', 'param_for'),
('class', 'param_class'),
('normal', 'normal'),
('param_if', 'param_if'),
('', ''),
],
)
def test_rename_python_keywords(self, input_str, expected_output):
assert rename_python_keywords(input_str) == expected_output
class TestApiParameter:
def test_api_parameter_initialization(self):
schema = Schema(type='string', description='A string parameter')
param = ApiParameter(
original_name='testParam',
description='A string description',
param_location='query',
param_schema=schema,
)
assert param.original_name == 'testParam'
assert param.param_location == 'query'
assert param.param_schema.type == 'string'
assert param.param_schema.description == 'A string parameter'
assert param.py_name == 'test_param'
assert param.type_hint == 'str'
assert param.type_value == str
assert param.description == 'A string description'
def test_api_parameter_keyword_rename(self):
schema = Schema(type='string')
param = ApiParameter(
original_name='in',
param_location='query',
param_schema=schema,
)
assert param.py_name == 'param_in'
def test_api_parameter_custom_py_name(self):
schema = Schema(type='integer')
param = ApiParameter(
original_name='testParam',
param_location='query',
param_schema=schema,
py_name='custom_name',
)
assert param.py_name == 'custom_name'
def test_api_parameter_str_representation(self):
schema = Schema(type='number')
param = ApiParameter(
original_name='testParam',
param_location='query',
param_schema=schema,
)
assert str(param) == 'test_param: float'
def test_api_parameter_to_arg_string(self):
schema = Schema(type='boolean')
param = ApiParameter(
original_name='testParam',
param_location='query',
param_schema=schema,
)
assert param.to_arg_string() == 'test_param=test_param'
def test_api_parameter_to_dict_property(self):
schema = Schema(type='string')
param = ApiParameter(
original_name='testParam',
param_location='path',
param_schema=schema,
)
assert param.to_dict_property() == '"test_param": test_param'
def test_api_parameter_model_serializer(self):
schema = Schema(type='string', description='test description')
param = ApiParameter(
original_name='TestParam',
param_location='path',
param_schema=schema,
py_name='test_param_custom',
description='test description',
)
serialized_param = param.model_dump(mode='json', exclude_none=True)
assert serialized_param == {
'original_name': 'TestParam',
'param_location': 'path',
'param_schema': {'type': 'string', 'description': 'test description'},
'description': 'test description',
'py_name': 'test_param_custom',
}
@pytest.mark.parametrize(
'schema, expected_type_value, expected_type_hint',
[
({'type': 'integer'}, int, 'int'),
({'type': 'number'}, float, 'float'),
({'type': 'boolean'}, bool, 'bool'),
({'type': 'string'}, str, 'str'),
(
{'type': 'string', 'format': 'date'},
str,
'str',
),
(
{'type': 'string', 'format': 'date-time'},
str,
'str',
),
(
{'type': 'array', 'items': {'type': 'integer'}},
List[int],
'List[int]',
),
(
{'type': 'array', 'items': {'type': 'string'}},
List[str],
'List[str]',
),
(
{
'type': 'array',
'items': {'type': 'object'},
},
List[Dict[str, Any]],
'List[Dict[str, Any]]',
),
({'type': 'object'}, Dict[str, Any], 'Dict[str, Any]'),
({'type': 'unknown'}, Any, 'Any'),
({}, Any, 'Any'),
],
)
def test_api_parameter_type_hint_helper(
self, schema, expected_type_value, expected_type_hint
):
param = ApiParameter(
original_name='test', param_location='query', param_schema=schema
)
assert param.type_value == expected_type_value
assert param.type_hint == expected_type_hint
assert (
TypeHintHelper.get_type_hint(param.param_schema) == expected_type_hint
)
assert (
TypeHintHelper.get_type_value(param.param_schema) == expected_type_value
)
def test_api_parameter_description(self):
schema = Schema(type='string')
param = ApiParameter(
original_name='param1',
param_location='query',
param_schema=schema,
description='The description',
)
assert param.description == 'The description'
def test_api_parameter_description_use_schema_fallback(self):
schema = Schema(type='string', description='The description')
param = ApiParameter(
original_name='param1',
param_location='query',
param_schema=schema,
)
assert param.description == 'The description'
class TestTypeHintHelper:
@pytest.mark.parametrize(
'schema, expected_type_value, expected_type_hint',
[
({'type': 'integer'}, int, 'int'),
({'type': 'number'}, float, 'float'),
({'type': 'string'}, str, 'str'),
(
{
'type': 'array',
'items': {'type': 'string'},
},
List[str],
'List[str]',
),
],
)
def test_get_type_value_and_hint(
self, schema, expected_type_value, expected_type_hint
):
param = ApiParameter(
original_name='test_param',
param_location='query',
param_schema=schema,
description='Test parameter',
)
assert (
TypeHintHelper.get_type_value(param.param_schema) == expected_type_value
)
assert (
TypeHintHelper.get_type_hint(param.param_schema) == expected_type_hint
)
class TestPydocHelper:
def test_generate_param_doc_simple(self):
schema = Schema(type='string')
param = ApiParameter(
original_name='test_param',
param_location='query',
param_schema=schema,
description='Test description',
)
expected_doc = 'test_param (str): Test description'
assert PydocHelper.generate_param_doc(param) == expected_doc
def test_generate_param_doc_no_description(self):
schema = Schema(type='integer')
param = ApiParameter(
original_name='test_param',
param_location='query',
param_schema=schema,
)
expected_doc = 'test_param (int): '
assert PydocHelper.generate_param_doc(param) == expected_doc
def test_generate_param_doc_object(self):
schema = Schema(
type='object',
properties={
'prop1': {'type': 'string', 'description': 'Prop1 desc'},
'prop2': {'type': 'integer'},
},
)
param = ApiParameter(
original_name='test_param',
param_location='query',
param_schema=schema,
description='Test object parameter',
)
expected_doc = (
'test_param (Dict[str, Any]): Test object parameter Object'
' properties:\n prop1 (str): Prop1 desc\n prop2'
' (int): \n'
)
assert PydocHelper.generate_param_doc(param) == expected_doc
def test_generate_param_doc_object_no_properties(self):
schema = Schema(type='object', description='A test schema')
param = ApiParameter(
original_name='test_param',
param_location='query',
param_schema=schema,
description='The description.',
)
expected_doc = 'test_param (Dict[str, Any]): The description.'
assert PydocHelper.generate_param_doc(param) == expected_doc
def test_generate_return_doc_simple(self):
responses = {
'200': {
'description': 'Successful response',
'content': {'application/json': {'schema': {'type': 'string'}}},
}
}
expected_doc = 'Returns (str): Successful response'
assert (
PydocHelper.generate_return_doc(dict_to_responses(responses))
== expected_doc
)
def test_generate_return_doc_no_content(self):
responses = {'204': {'description': 'No content'}}
assert not PydocHelper.generate_return_doc(dict_to_responses(responses))
def test_generate_return_doc_object(self):
responses = {
'200': {
'description': 'Successful object response',
'content': {
'application/json': {
'schema': {
'type': 'object',
'properties': {
'prop1': {
'type': 'string',
'description': 'Prop1 desc',
},
'prop2': {'type': 'integer'},
},
}
}
},
}
}
return_doc = PydocHelper.generate_return_doc(dict_to_responses(responses))
assert 'Returns (Dict[str, Any]): Successful object response' in return_doc
assert 'prop1 (str): Prop1 desc' in return_doc
assert 'prop2 (int):' in return_doc
def test_generate_return_doc_multiple_success(self):
responses = {
'200': {
'description': 'Successful response',
'content': {'application/json': {'schema': {'type': 'string'}}},
},
'400': {'description': 'Bad request'},
}
expected_doc = 'Returns (str): Successful response'
assert (
PydocHelper.generate_return_doc(dict_to_responses(responses))
== expected_doc
)
def test_generate_return_doc_2xx_smallest_status_code_response(self):
responses = {
'201': {
'description': '201 response',
'content': {'application/json': {'schema': {'type': 'integer'}}},
},
'200': {
'description': '200 response',
'content': {'application/json': {'schema': {'type': 'string'}}},
},
'400': {'description': 'Bad request'},
}
expected_doc = 'Returns (str): 200 response'
assert (
PydocHelper.generate_return_doc(dict_to_responses(responses))
== expected_doc
)
def test_generate_return_doc_contentful_response(self):
responses = {
'200': {'description': 'No content response'},
'201': {
'description': '201 response',
'content': {'application/json': {'schema': {'type': 'string'}}},
},
'400': {'description': 'Bad request'},
}
expected_doc = 'Returns (str): 201 response'
assert (
PydocHelper.generate_return_doc(dict_to_responses(responses))
== expected_doc
)
if __name__ == '__main__':
pytest.main([__file__])

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# Copyright 2025 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 typing import Any
from typing import Dict
from google.adk.tools.openapi_tool.openapi_spec_parser.openapi_spec_parser import OpenApiSpecParser
import pytest
def create_minimal_openapi_spec() -> Dict[str, Any]:
"""Creates a minimal valid OpenAPI spec."""
return {
"openapi": "3.1.0",
"info": {"title": "Minimal API", "version": "1.0.0"},
"paths": {
"/test": {
"get": {
"summary": "Test GET endpoint",
"operationId": "testGet",
"responses": {
"200": {
"description": "Successful response",
"content": {
"application/json": {"schema": {"type": "string"}}
},
}
},
}
}
},
}
@pytest.fixture
def openapi_spec_generator():
"""Fixture for creating an OperationGenerator instance."""
return OpenApiSpecParser()
def test_parse_minimal_spec(openapi_spec_generator):
"""Test parsing a minimal OpenAPI specification."""
openapi_spec = create_minimal_openapi_spec()
parsed_operations = openapi_spec_generator.parse(openapi_spec)
op = parsed_operations[0]
assert len(parsed_operations) == 1
assert op.name == "test_get"
assert op.endpoint.path == "/test"
assert op.endpoint.method == "get"
assert op.return_value.type_value == str
def test_parse_spec_with_no_operation_id(openapi_spec_generator):
"""Test parsing a spec where operationId is missing (auto-generation)."""
openapi_spec = create_minimal_openapi_spec()
del openapi_spec["paths"]["/test"]["get"]["operationId"] # Remove operationId
parsed_operations = openapi_spec_generator.parse(openapi_spec)
assert len(parsed_operations) == 1
# Check if operationId is auto generated based on path and method.
assert parsed_operations[0].name == "test_get"
def test_parse_spec_with_multiple_methods(openapi_spec_generator):
"""Test parsing a spec with multiple HTTP methods for the same path."""
openapi_spec = create_minimal_openapi_spec()
openapi_spec["paths"]["/test"]["post"] = {
"summary": "Test POST endpoint",
"operationId": "testPost",
"responses": {"200": {"description": "Successful response"}},
}
parsed_operations = openapi_spec_generator.parse(openapi_spec)
operation_names = {op.name for op in parsed_operations}
assert len(parsed_operations) == 2
assert "test_get" in operation_names
assert "test_post" in operation_names
def test_parse_spec_with_parameters(openapi_spec_generator):
openapi_spec = create_minimal_openapi_spec()
openapi_spec["paths"]["/test"]["get"]["parameters"] = [
{"name": "param1", "in": "query", "schema": {"type": "string"}},
{"name": "param2", "in": "header", "schema": {"type": "integer"}},
]
parsed_operations = openapi_spec_generator.parse(openapi_spec)
assert len(parsed_operations[0].parameters) == 2
assert parsed_operations[0].parameters[0].original_name == "param1"
assert parsed_operations[0].parameters[0].param_location == "query"
assert parsed_operations[0].parameters[1].original_name == "param2"
assert parsed_operations[0].parameters[1].param_location == "header"
def test_parse_spec_with_request_body(openapi_spec_generator):
openapi_spec = create_minimal_openapi_spec()
openapi_spec["paths"]["/test"]["post"] = {
"summary": "Endpoint with request body",
"operationId": "testPostWithBody",
"requestBody": {
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {"name": {"type": "string"}},
}
}
}
},
"responses": {"200": {"description": "OK"}},
}
parsed_operations = openapi_spec_generator.parse(openapi_spec)
post_operations = [
op for op in parsed_operations if op.endpoint.method == "post"
]
op = post_operations[0]
assert len(post_operations) == 1
assert op.name == "test_post_with_body"
assert len(op.parameters) == 1
assert op.parameters[0].original_name == "name"
assert op.parameters[0].type_value == str
def test_parse_spec_with_reference(openapi_spec_generator):
"""Test parsing a specification with $ref."""
openapi_spec = {
"openapi": "3.1.0",
"info": {"title": "API with Refs", "version": "1.0.0"},
"paths": {
"/test_ref": {
"get": {
"summary": "Endpoint with ref",
"operationId": "testGetRef",
"responses": {
"200": {
"description": "Success",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/MySchema"
}
}
},
}
},
}
}
},
"components": {
"schemas": {
"MySchema": {
"type": "object",
"properties": {"name": {"type": "string"}},
}
}
},
}
parsed_operations = openapi_spec_generator.parse(openapi_spec)
op = parsed_operations[0]
assert len(parsed_operations) == 1
assert op.return_value.type_value.__origin__ is dict
def test_parse_spec_with_circular_reference(openapi_spec_generator):
"""Test correct handling of circular $ref (important!)."""
openapi_spec = {
"openapi": "3.1.0",
"info": {"title": "Circular Ref API", "version": "1.0.0"},
"paths": {
"/circular": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {"$ref": "#/components/schemas/A"}
}
},
}
}
}
}
},
"components": {
"schemas": {
"A": {
"type": "object",
"properties": {"b": {"$ref": "#/components/schemas/B"}},
},
"B": {
"type": "object",
"properties": {"a": {"$ref": "#/components/schemas/A"}},
},
}
},
}
parsed_operations = openapi_spec_generator.parse(openapi_spec)
assert len(parsed_operations) == 1
op = parsed_operations[0]
assert op.return_value.type_value.__origin__ is dict
assert op.return_value.type_hint == "Dict[str, Any]"
def test_parse_no_paths(openapi_spec_generator):
"""Test with a spec that has no paths defined."""
openapi_spec = {
"openapi": "3.1.0",
"info": {"title": "No Paths API", "version": "1.0.0"},
}
parsed_operations = openapi_spec_generator.parse(openapi_spec)
assert len(parsed_operations) == 0 # Should be empty
def test_parse_empty_path_item(openapi_spec_generator):
"""Test a path item that is present but empty."""
openapi_spec = {
"openapi": "3.1.0",
"info": {"title": "Empty Path Item API", "version": "1.0.0"},
"paths": {"/empty": None},
}
parsed_operations = openapi_spec_generator.parse(openapi_spec)
assert len(parsed_operations) == 0
def test_parse_spec_with_global_auth_scheme(openapi_spec_generator):
"""Test parsing with a global security scheme."""
openapi_spec = create_minimal_openapi_spec()
openapi_spec["security"] = [{"api_key": []}]
openapi_spec["components"] = {
"securitySchemes": {
"api_key": {"type": "apiKey", "in": "header", "name": "X-API-Key"}
}
}
parsed_operations = openapi_spec_generator.parse(openapi_spec)
op = parsed_operations[0]
assert len(parsed_operations) == 1
assert op.auth_scheme is not None
assert op.auth_scheme.type_.value == "apiKey"
def test_parse_spec_with_local_auth_scheme(openapi_spec_generator):
"""Test parsing with a local (operation-level) security scheme."""
openapi_spec = create_minimal_openapi_spec()
openapi_spec["paths"]["/test"]["get"]["security"] = [{"local_auth": []}]
openapi_spec["components"] = {
"securitySchemes": {"local_auth": {"type": "http", "scheme": "bearer"}}
}
parsed_operations = openapi_spec_generator.parse(openapi_spec)
op = parsed_operations[0]
assert op.auth_scheme is not None
assert op.auth_scheme.type_.value == "http"
assert op.auth_scheme.scheme == "bearer"
def test_parse_spec_with_servers(openapi_spec_generator):
"""Test parsing with server URLs."""
openapi_spec = create_minimal_openapi_spec()
openapi_spec["servers"] = [
{"url": "https://api.example.com"},
{"url": "http://localhost:8000"},
]
parsed_operations = openapi_spec_generator.parse(openapi_spec)
assert len(parsed_operations) == 1
assert parsed_operations[0].endpoint.base_url == "https://api.example.com"
def test_parse_spec_with_no_servers(openapi_spec_generator):
"""Test with no servers defined (should default to empty string)."""
openapi_spec = create_minimal_openapi_spec()
if "servers" in openapi_spec:
del openapi_spec["servers"]
parsed_operations = openapi_spec_generator.parse(openapi_spec)
assert len(parsed_operations) == 1
assert parsed_operations[0].endpoint.base_url == ""
def test_parse_spec_with_description(openapi_spec_generator):
openapi_spec = create_minimal_openapi_spec()
expected_description = "This is a test description."
openapi_spec["paths"]["/test"]["get"]["description"] = expected_description
parsed_operations = openapi_spec_generator.parse(openapi_spec)
assert len(parsed_operations) == 1
assert parsed_operations[0].description == expected_description
def test_parse_spec_with_empty_description(openapi_spec_generator):
openapi_spec = create_minimal_openapi_spec()
openapi_spec["paths"]["/test"]["get"]["description"] = ""
openapi_spec["paths"]["/test"]["get"]["summary"] = ""
parsed_operations = openapi_spec_generator.parse(openapi_spec)
assert len(parsed_operations) == 1
assert parsed_operations[0].description == ""
def test_parse_spec_with_no_description(openapi_spec_generator):
openapi_spec = create_minimal_openapi_spec()
# delete description
if "description" in openapi_spec["paths"]["/test"]["get"]:
del openapi_spec["paths"]["/test"]["get"]["description"]
if "summary" in openapi_spec["paths"]["/test"]["get"]:
del openapi_spec["paths"]["/test"]["get"]["summary"]
parsed_operations = openapi_spec_generator.parse(openapi_spec)
assert len(parsed_operations) == 1
assert (
parsed_operations[0].description == ""
) # it should be initialized with empty string
def test_parse_invalid_openapi_spec_type(openapi_spec_generator):
"""Test that passing a non-dict object to parse raises TypeError"""
with pytest.raises(AttributeError):
openapi_spec_generator.parse(123) # type: ignore
with pytest.raises(AttributeError):
openapi_spec_generator.parse("openapi_spec") # type: ignore
with pytest.raises(AttributeError):
openapi_spec_generator.parse([]) # type: ignore
def test_parse_external_ref_raises_error(openapi_spec_generator):
"""Check that external references (not starting with #) raise ValueError."""
openapi_spec = {
"openapi": "3.1.0",
"info": {"title": "External Ref API", "version": "1.0.0"},
"paths": {
"/external": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": (
"external_file.json#/components/schemas/ExternalSchema"
)
}
}
},
}
}
}
}
},
}
with pytest.raises(ValueError):
openapi_spec_generator.parse(openapi_spec)
def test_parse_spec_with_multiple_paths_deep_refs(openapi_spec_generator):
"""Test specs with multiple paths, request/response bodies using deep refs."""
openapi_spec = {
"openapi": "3.1.0",
"info": {"title": "Multiple Paths Deep Refs API", "version": "1.0.0"},
"paths": {
"/path1": {
"post": {
"operationId": "postPath1",
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Request1"
}
}
}
},
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Response1"
}
}
},
}
},
}
},
"/path2": {
"put": {
"operationId": "putPath2",
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Request2"
}
}
}
},
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Response2"
}
}
},
}
},
},
"get": {
"operationId": "getPath2",
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Response2"
}
}
},
}
},
},
},
},
"components": {
"schemas": {
"Request1": {
"type": "object",
"properties": {
"req1_prop1": {"$ref": "#/components/schemas/Level1_1"}
},
},
"Response1": {
"type": "object",
"properties": {
"res1_prop1": {"$ref": "#/components/schemas/Level1_2"}
},
},
"Request2": {
"type": "object",
"properties": {
"req2_prop1": {"$ref": "#/components/schemas/Level1_1"}
},
},
"Response2": {
"type": "object",
"properties": {
"res2_prop1": {"$ref": "#/components/schemas/Level1_2"}
},
},
"Level1_1": {
"type": "object",
"properties": {
"level1_1_prop1": {
"$ref": "#/components/schemas/Level2_1"
}
},
},
"Level1_2": {
"type": "object",
"properties": {
"level1_2_prop1": {
"$ref": "#/components/schemas/Level2_2"
}
},
},
"Level2_1": {
"type": "object",
"properties": {
"level2_1_prop1": {"$ref": "#/components/schemas/Level3"}
},
},
"Level2_2": {
"type": "object",
"properties": {"level2_2_prop1": {"type": "string"}},
},
"Level3": {"type": "integer"},
}
},
}
parsed_operations = openapi_spec_generator.parse(openapi_spec)
assert len(parsed_operations) == 3
# Verify Path 1
path1_ops = [op for op in parsed_operations if op.endpoint.path == "/path1"]
assert len(path1_ops) == 1
path1_op = path1_ops[0]
assert path1_op.name == "post_path1"
assert len(path1_op.parameters) == 1
assert path1_op.parameters[0].original_name == "req1_prop1"
assert (
path1_op.parameters[0]
.param_schema.properties["level1_1_prop1"]
.properties["level2_1_prop1"]
.type
== "integer"
)
assert (
path1_op.return_value.param_schema.properties["res1_prop1"]
.properties["level1_2_prop1"]
.properties["level2_2_prop1"]
.type
== "string"
)
# Verify Path 2
path2_ops = [
op
for op in parsed_operations
if op.endpoint.path == "/path2" and op.name == "put_path2"
]
path2_op = path2_ops[0]
assert path2_op is not None
assert len(path2_op.parameters) == 1
assert path2_op.parameters[0].original_name == "req2_prop1"
assert (
path2_op.parameters[0]
.param_schema.properties["level1_1_prop1"]
.properties["level2_1_prop1"]
.type
== "integer"
)
assert (
path2_op.return_value.param_schema.properties["res2_prop1"]
.properties["level1_2_prop1"]
.properties["level2_2_prop1"]
.type
== "string"
)
def test_parse_spec_with_duplicate_parameter_names(openapi_spec_generator):
"""Test handling of duplicate parameter names (one in query, one in body).
The expected behavior is that both parameters should be captured but with
different suffix, and
their `original_name` attributes should reflect their origin (query or body).
"""
openapi_spec = {
"openapi": "3.1.0",
"info": {"title": "Duplicate Parameter Names API", "version": "1.0.0"},
"paths": {
"/duplicate": {
"post": {
"operationId": "createWithDuplicate",
"parameters": [{
"name": "name",
"in": "query",
"schema": {"type": "string"},
}],
"requestBody": {
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {"name": {"type": "integer"}},
}
}
}
},
"responses": {"200": {"description": "OK"}},
}
}
},
}
parsed_operations = openapi_spec_generator.parse(openapi_spec)
assert len(parsed_operations) == 1
op = parsed_operations[0]
assert op.name == "create_with_duplicate"
assert len(op.parameters) == 2
query_param = None
body_param = None
for param in op.parameters:
if param.param_location == "query" and param.original_name == "name":
query_param = param
elif param.param_location == "body" and param.original_name == "name":
body_param = param
assert query_param is not None
assert query_param.original_name == "name"
assert query_param.py_name == "name"
assert body_param is not None
assert body_param.original_name == "name"
assert body_param.py_name == "name_0"

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# Copyright 2025 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.
import os
from typing import Dict
from fastapi.openapi.models import APIKey
from fastapi.openapi.models import APIKeyIn
from fastapi.openapi.models import MediaType
from fastapi.openapi.models import OAuth2
from fastapi.openapi.models import ParameterInType
from fastapi.openapi.models import SecuritySchemeType
from google.adk.auth.auth_credential import AuthCredential
from google.adk.auth.auth_credential import AuthCredentialTypes
from google.adk.tools.openapi_tool.openapi_spec_parser.openapi_toolset import OpenAPIToolset
from google.adk.tools.openapi_tool.openapi_spec_parser.rest_api_tool import RestApiTool
import pytest
import yaml
def load_spec(file_path: str) -> Dict:
"""Loads the OpenAPI specification from a YAML file."""
with open(file_path, "r", encoding="utf-8") as f:
return yaml.safe_load(f)
@pytest.fixture
def openapi_spec() -> Dict:
"""Fixture to load the OpenAPI specification."""
current_dir = os.path.dirname(os.path.abspath(__file__))
# Join the directory path with the filename
yaml_path = os.path.join(current_dir, "test.yaml")
return load_spec(yaml_path)
def test_openapi_toolset_initialization_from_dict(openapi_spec: Dict):
"""Test initialization of OpenAPIToolset with a dictionary."""
toolset = OpenAPIToolset(spec_dict=openapi_spec)
assert isinstance(toolset.tools, list)
assert len(toolset.tools) == 5
assert all(isinstance(tool, RestApiTool) for tool in toolset.tools)
def test_openapi_toolset_initialization_from_yaml_string(openapi_spec: Dict):
"""Test initialization of OpenAPIToolset with a YAML string."""
spec_str = yaml.dump(openapi_spec)
toolset = OpenAPIToolset(spec_str=spec_str, spec_str_type="yaml")
assert isinstance(toolset.tools, list)
assert len(toolset.tools) == 5
assert all(isinstance(tool, RestApiTool) for tool in toolset.tools)
def test_openapi_toolset_tool_existing(openapi_spec: Dict):
"""Test the tool() method for an existing tool."""
toolset = OpenAPIToolset(spec_dict=openapi_spec)
tool_name = "calendar_calendars_insert" # Example operationId from the spec
tool = toolset.get_tool(tool_name)
assert isinstance(tool, RestApiTool)
assert tool.name == tool_name
assert tool.description == "Creates a secondary calendar."
assert tool.endpoint.method == "post"
assert tool.endpoint.base_url == "https://www.googleapis.com/calendar/v3"
assert tool.endpoint.path == "/calendars"
assert tool.is_long_running is False
assert tool.operation.operationId == "calendar.calendars.insert"
assert tool.operation.description == "Creates a secondary calendar."
assert isinstance(
tool.operation.requestBody.content["application/json"], MediaType
)
assert len(tool.operation.responses) == 1
response = tool.operation.responses["200"]
assert response.description == "Successful response"
assert isinstance(response.content["application/json"], MediaType)
assert isinstance(tool.auth_scheme, OAuth2)
tool_name = "calendar_calendars_get"
tool = toolset.get_tool(tool_name)
assert isinstance(tool, RestApiTool)
assert tool.name == tool_name
assert tool.description == "Returns metadata for a calendar."
assert tool.endpoint.method == "get"
assert tool.endpoint.base_url == "https://www.googleapis.com/calendar/v3"
assert tool.endpoint.path == "/calendars/{calendarId}"
assert tool.is_long_running is False
assert tool.operation.operationId == "calendar.calendars.get"
assert tool.operation.description == "Returns metadata for a calendar."
assert len(tool.operation.parameters) == 1
assert tool.operation.parameters[0].name == "calendarId"
assert tool.operation.parameters[0].in_ == ParameterInType.path
assert tool.operation.parameters[0].required is True
assert tool.operation.parameters[0].schema_.type == "string"
assert (
tool.operation.parameters[0].description
== "Calendar identifier. To retrieve calendar IDs call the"
" calendarList.list method. If you want to access the primary calendar"
' of the currently logged in user, use the "primary" keyword.'
)
assert isinstance(tool.auth_scheme, OAuth2)
assert isinstance(toolset.get_tool("calendar_calendars_update"), RestApiTool)
assert isinstance(toolset.get_tool("calendar_calendars_delete"), RestApiTool)
assert isinstance(toolset.get_tool("calendar_calendars_patch"), RestApiTool)
def test_openapi_toolset_tool_non_existing(openapi_spec: Dict):
"""Test the tool() method for a non-existing tool."""
toolset = OpenAPIToolset(spec_dict=openapi_spec)
tool = toolset.get_tool("non_existent_tool")
assert tool is None
def test_openapi_toolset_configure_auth_on_init(openapi_spec: Dict):
"""Test configuring auth during initialization."""
auth_scheme = APIKey(**{
"in": APIKeyIn.header, # Use alias name in dict
"name": "api_key",
"type": SecuritySchemeType.http,
})
auth_credential = AuthCredential(auth_type=AuthCredentialTypes.API_KEY)
toolset = OpenAPIToolset(
spec_dict=openapi_spec,
auth_scheme=auth_scheme,
auth_credential=auth_credential,
)
for tool in toolset.tools:
assert tool.auth_scheme == auth_scheme
assert tool.auth_credential == auth_credential

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# Copyright 2025 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 fastapi.openapi.models import MediaType
from fastapi.openapi.models import Operation
from fastapi.openapi.models import Parameter
from fastapi.openapi.models import RequestBody
from fastapi.openapi.models import Response
from fastapi.openapi.models import Schema
from google.adk.tools.openapi_tool.common.common import ApiParameter
from google.adk.tools.openapi_tool.openapi_spec_parser.operation_parser import OperationParser
import pytest
@pytest.fixture
def sample_operation() -> Operation:
"""Fixture to provide a sample OpenAPI Operation object."""
return Operation(
operationId='test_operation',
summary='Test Summary',
description='Test Description',
parameters=[
Parameter(**{
'name': 'param1',
'in': 'query',
'schema': Schema(type='string'),
'description': 'Parameter 1',
}),
Parameter(**{
'name': 'param2',
'in': 'header',
'schema': Schema(type='string'),
'description': 'Parameter 2',
}),
],
requestBody=RequestBody(
content={
'application/json': MediaType(
schema=Schema(
type='object',
properties={
'prop1': Schema(
type='string', description='Property 1'
),
'prop2': Schema(
type='integer', description='Property 2'
),
},
)
)
},
description='Request body description',
),
responses={
'200': Response(
description='Success',
content={
'application/json': MediaType(schema=Schema(type='string'))
},
),
'400': Response(description='Client Error'),
},
security=[{'oauth2': ['resource: read', 'resource: write']}],
)
def test_operation_parser_initialization(sample_operation):
"""Test initialization of OperationParser."""
parser = OperationParser(sample_operation)
assert parser.operation == sample_operation
assert len(parser.params) == 4 # 2 params + 2 request body props
assert parser.return_value is not None
def test_process_operation_parameters(sample_operation):
"""Test _process_operation_parameters method."""
parser = OperationParser(sample_operation, should_parse=False)
parser._process_operation_parameters()
assert len(parser.params) == 2
assert parser.params[0].original_name == 'param1'
assert parser.params[0].param_location == 'query'
assert parser.params[1].original_name == 'param2'
assert parser.params[1].param_location == 'header'
def test_process_request_body(sample_operation):
"""Test _process_request_body method."""
parser = OperationParser(sample_operation, should_parse=False)
parser._process_request_body()
assert len(parser.params) == 2 # 2 properties in request body
assert parser.params[0].original_name == 'prop1'
assert parser.params[0].param_location == 'body'
assert parser.params[1].original_name == 'prop2'
assert parser.params[1].param_location == 'body'
def test_process_request_body_array():
"""Test _process_request_body method with array schema."""
operation = Operation(
requestBody=RequestBody(
content={
'application/json': MediaType(
schema=Schema(
type='array',
items=Schema(
type='object',
properties={
'item_prop1': Schema(
type='string', description='Item Property 1'
),
'item_prop2': Schema(
type='integer', description='Item Property 2'
),
},
),
)
)
}
)
)
parser = OperationParser(operation, should_parse=False)
parser._process_request_body()
assert len(parser.params) == 1
assert parser.params[0].original_name == 'array'
assert parser.params[0].param_location == 'body'
# Check that schema is correctly propagated and is a dictionary
assert parser.params[0].param_schema.type == 'array'
assert parser.params[0].param_schema.items.type == 'object'
assert 'item_prop1' in parser.params[0].param_schema.items.properties
assert 'item_prop2' in parser.params[0].param_schema.items.properties
assert (
parser.params[0].param_schema.items.properties['item_prop1'].description
== 'Item Property 1'
)
assert (
parser.params[0].param_schema.items.properties['item_prop2'].description
== 'Item Property 2'
)
def test_process_request_body_no_name():
"""Test _process_request_body with a schema that has no properties (unnamed)"""
operation = Operation(
requestBody=RequestBody(
content={'application/json': MediaType(schema=Schema(type='string'))}
)
)
parser = OperationParser(operation, should_parse=False)
parser._process_request_body()
assert len(parser.params) == 1
assert parser.params[0].original_name == '' # No name
assert parser.params[0].param_location == 'body'
def test_dedupe_param_names(sample_operation):
"""Test _dedupe_param_names method."""
parser = OperationParser(sample_operation, should_parse=False)
# Add duplicate named parameters.
parser.params = [
ApiParameter(original_name='test', param_location='', param_schema={}),
ApiParameter(original_name='test', param_location='', param_schema={}),
ApiParameter(original_name='test', param_location='', param_schema={}),
]
parser._dedupe_param_names()
assert parser.params[0].py_name == 'test'
assert parser.params[1].py_name == 'test_0'
assert parser.params[2].py_name == 'test_1'
def test_process_return_value(sample_operation):
"""Test _process_return_value method."""
parser = OperationParser(sample_operation, should_parse=False)
parser._process_return_value()
assert parser.return_value is not None
assert parser.return_value.type_hint == 'str'
def test_process_return_value_no_2xx(sample_operation):
"""Tests _process_return_value when no 2xx response exists."""
operation_no_2xx = Operation(
responses={'400': Response(description='Client Error')}
)
parser = OperationParser(operation_no_2xx, should_parse=False)
parser._process_return_value()
assert parser.return_value is not None
assert parser.return_value.type_hint == 'Any'
def test_process_return_value_multiple_2xx(sample_operation):
"""Tests _process_return_value when multiple 2xx responses exist."""
operation_multi_2xx = Operation(
responses={
'201': Response(
description='Success',
content={
'application/json': MediaType(schema=Schema(type='integer'))
},
),
'202': Response(
description='Success',
content={'text/plain': MediaType(schema=Schema(type='string'))},
),
'200': Response(
description='Success',
content={
'application/pdf': MediaType(schema=Schema(type='boolean'))
},
),
'400': Response(
description='Failure',
content={
'application/xml': MediaType(schema=Schema(type='object'))
},
),
}
)
parser = OperationParser(operation_multi_2xx, should_parse=False)
parser._process_return_value()
assert parser.return_value is not None
# Take the content type of the 200 response since it's the smallest response
# code
assert parser.return_value.param_schema.type == 'boolean'
def test_process_return_value_no_content(sample_operation):
"""Test when 2xx response has no content"""
operation_no_content = Operation(
responses={'200': Response(description='Success', content={})}
)
parser = OperationParser(operation_no_content, should_parse=False)
parser._process_return_value()
assert parser.return_value.type_hint == 'Any'
def test_process_return_value_no_schema(sample_operation):
"""Tests when the 2xx response's content has no schema."""
operation_no_schema = Operation(
responses={
'200': Response(
description='Success',
content={'application/json': MediaType(schema=None)},
)
}
)
parser = OperationParser(operation_no_schema, should_parse=False)
parser._process_return_value()
assert parser.return_value.type_hint == 'Any'
def test_get_function_name(sample_operation):
"""Test get_function_name method."""
parser = OperationParser(sample_operation)
assert parser.get_function_name() == 'test_operation'
def test_get_function_name_missing_id():
"""Tests get_function_name when operationId is missing"""
operation = Operation() # No ID
parser = OperationParser(operation)
with pytest.raises(ValueError, match='Operation ID is missing'):
parser.get_function_name()
def test_get_return_type_hint(sample_operation):
"""Test get_return_type_hint method."""
parser = OperationParser(sample_operation)
assert parser.get_return_type_hint() == 'str'
def test_get_return_type_value(sample_operation):
"""Test get_return_type_value method."""
parser = OperationParser(sample_operation)
assert parser.get_return_type_value() == str
def test_get_parameters(sample_operation):
"""Test get_parameters method."""
parser = OperationParser(sample_operation)
params = parser.get_parameters()
assert len(params) == 4 # Correct count after processing
assert all(isinstance(p, ApiParameter) for p in params)
def test_get_return_value(sample_operation):
"""Test get_return_value method."""
parser = OperationParser(sample_operation)
return_value = parser.get_return_value()
assert isinstance(return_value, ApiParameter)
def test_get_auth_scheme_name(sample_operation):
"""Test get_auth_scheme_name method."""
parser = OperationParser(sample_operation)
assert parser.get_auth_scheme_name() == 'oauth2'
def test_get_auth_scheme_name_no_security():
"""Test get_auth_scheme_name when no security is present."""
operation = Operation(responses={})
parser = OperationParser(operation)
assert parser.get_auth_scheme_name() == ''
def test_get_pydoc_string(sample_operation):
"""Test get_pydoc_string method."""
parser = OperationParser(sample_operation)
pydoc_string = parser.get_pydoc_string()
assert 'Test Summary' in pydoc_string
assert 'Args:' in pydoc_string
assert 'param1 (str): Parameter 1' in pydoc_string
assert 'prop1 (str): Property 1' in pydoc_string
assert 'Returns (str):' in pydoc_string
assert 'Success' in pydoc_string
def test_get_json_schema(sample_operation):
"""Test get_json_schema method."""
parser = OperationParser(sample_operation)
json_schema = parser.get_json_schema()
assert json_schema['title'] == 'test_operation_Arguments'
assert json_schema['type'] == 'object'
assert 'param1' in json_schema['properties']
assert 'prop1' in json_schema['properties']
assert 'param1' in json_schema['required']
assert 'prop1' in json_schema['required']
def test_get_signature_parameters(sample_operation):
"""Test get_signature_parameters method."""
parser = OperationParser(sample_operation)
signature_params = parser.get_signature_parameters()
assert len(signature_params) == 4
assert signature_params[0].name == 'param1'
assert signature_params[0].annotation == str
assert signature_params[2].name == 'prop1'
assert signature_params[2].annotation == str
def test_get_annotations(sample_operation):
"""Test get_annotations method."""
parser = OperationParser(sample_operation)
annotations = parser.get_annotations()
assert len(annotations) == 5 # 4 parameters + return
assert annotations['param1'] == str
assert annotations['prop1'] == str
assert annotations['return'] == str
def test_load():
"""Test the load classmethod."""
operation = Operation(operationId='my_op') # Minimal operation
params = [
ApiParameter(
original_name='p1',
param_location='',
param_schema={'type': 'integer'},
)
]
return_value = ApiParameter(
original_name='', param_location='', param_schema={'type': 'string'}
)
parser = OperationParser.load(operation, params, return_value)
assert isinstance(parser, OperationParser)
assert parser.operation == operation
assert parser.params == params
assert parser.return_value == return_value
assert (
parser.get_function_name() == 'my_op'
) # Check that the operation is loaded
def test_operation_parser_with_dict():
"""Test initialization of OperationParser with a dictionary."""
operation_dict = {
'operationId': 'test_dict_operation',
'parameters': [
{'name': 'dict_param', 'in': 'query', 'schema': {'type': 'string'}}
],
'responses': {
'200': {
'description': 'Dict Success',
'content': {'application/json': {'schema': {'type': 'string'}}},
}
},
}
parser = OperationParser(operation_dict)
assert parser.operation.operationId == 'test_dict_operation'
assert len(parser.params) == 1
assert parser.params[0].original_name == 'dict_param'
assert parser.return_value.type_hint == 'str'

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@@ -0,0 +1,966 @@
# Copyright 2025 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.
import json
from unittest.mock import MagicMock
from unittest.mock import patch
from fastapi.openapi.models import MediaType
from fastapi.openapi.models import Operation
from fastapi.openapi.models import Parameter as OpenAPIParameter
from fastapi.openapi.models import RequestBody
from fastapi.openapi.models import Schema as OpenAPISchema
from google.adk.sessions.state import State
from google.adk.tools.openapi_tool.auth.auth_helpers import token_to_scheme_credential
from google.adk.tools.openapi_tool.common.common import ApiParameter
from google.adk.tools.openapi_tool.openapi_spec_parser.openapi_spec_parser import OperationEndpoint
from google.adk.tools.openapi_tool.openapi_spec_parser.operation_parser import OperationParser
from google.adk.tools.openapi_tool.openapi_spec_parser.rest_api_tool import RestApiTool
from google.adk.tools.openapi_tool.openapi_spec_parser.rest_api_tool import snake_to_lower_camel
from google.adk.tools.openapi_tool.openapi_spec_parser.rest_api_tool import to_gemini_schema
from google.adk.tools.tool_context import ToolContext
from google.genai.types import FunctionDeclaration
from google.genai.types import Schema
from google.genai.types import Type
import pytest
class TestRestApiTool:
@pytest.fixture
def mock_tool_context(self):
"""Fixture for a mock OperationParser."""
mock_context = MagicMock(spec=ToolContext)
mock_context.state = State({}, {})
mock_context.get_auth_response.return_value = {}
mock_context.request_credential.return_value = {}
return mock_context
@pytest.fixture
def mock_operation_parser(self):
"""Fixture for a mock OperationParser."""
mock_parser = MagicMock(spec=OperationParser)
mock_parser.get_function_name.return_value = "mock_function_name"
mock_parser.get_json_schema.return_value = {}
mock_parser.get_parameters.return_value = []
mock_parser.get_return_type_hint.return_value = "str"
mock_parser.get_pydoc_string.return_value = "Mock docstring"
mock_parser.get_signature_parameters.return_value = []
mock_parser.get_return_type_value.return_value = str
mock_parser.get_annotations.return_value = {}
return mock_parser
@pytest.fixture
def sample_endpiont(self):
return OperationEndpoint(
base_url="https://example.com", path="/test", method="GET"
)
@pytest.fixture
def sample_operation(self):
return Operation(
operationId="testOperation",
description="Test operation",
parameters=[],
requestBody=RequestBody(
content={
"application/json": MediaType(
schema=OpenAPISchema(
type="object",
properties={
"testBodyParam": OpenAPISchema(type="string")
},
)
)
}
),
)
@pytest.fixture
def sample_api_parameters(self):
return [
ApiParameter(
original_name="test_param",
py_name="test_param",
param_location="query",
param_schema=OpenAPISchema(type="string"),
is_required=True,
),
ApiParameter(
original_name="",
py_name="test_body_param",
param_location="body",
param_schema=OpenAPISchema(type="string"),
is_required=True,
),
]
@pytest.fixture
def sample_return_parameter(self):
return ApiParameter(
original_name="test_param",
py_name="test_param",
param_location="query",
param_schema=OpenAPISchema(type="string"),
is_required=True,
)
@pytest.fixture
def sample_auth_scheme(self):
scheme, _ = token_to_scheme_credential(
"apikey", "header", "", "sample_auth_credential_internal_test"
)
return scheme
@pytest.fixture
def sample_auth_credential(self):
_, credential = token_to_scheme_credential(
"apikey", "header", "", "sample_auth_credential_internal_test"
)
return credential
def test_init(
self,
sample_endpiont,
sample_operation,
sample_auth_scheme,
sample_auth_credential,
):
tool = RestApiTool(
name="test_tool",
description="Test Tool",
endpoint=sample_endpiont,
operation=sample_operation,
auth_scheme=sample_auth_scheme,
auth_credential=sample_auth_credential,
)
assert tool.name == "test_tool"
assert tool.description == "Test Tool"
assert tool.endpoint == sample_endpiont
assert tool.operation == sample_operation
assert tool.auth_credential == sample_auth_credential
assert tool.auth_scheme == sample_auth_scheme
assert tool.credential_exchanger is not None
def test_from_parsed_operation_str(
self,
sample_endpiont,
sample_api_parameters,
sample_return_parameter,
sample_operation,
):
parsed_operation_str = json.dumps({
"name": "test_operation",
"description": "Test Description",
"endpoint": sample_endpiont.model_dump(),
"operation": sample_operation.model_dump(),
"auth_scheme": None,
"auth_credential": None,
"parameters": [p.model_dump() for p in sample_api_parameters],
"return_value": sample_return_parameter.model_dump(),
})
tool = RestApiTool.from_parsed_operation_str(parsed_operation_str)
assert tool.name == "test_operation"
def test_get_declaration(
self, sample_endpiont, sample_operation, mock_operation_parser
):
tool = RestApiTool(
name="test_tool",
description="Test description",
endpoint=sample_endpiont,
operation=sample_operation,
should_parse_operation=False,
)
tool._operation_parser = mock_operation_parser
declaration = tool._get_declaration()
assert isinstance(declaration, FunctionDeclaration)
assert declaration.name == "test_tool"
assert declaration.description == "Test description"
assert isinstance(declaration.parameters, Schema)
@patch(
"google.adk.tools.openapi_tool.openapi_spec_parser.rest_api_tool.requests.request"
)
def test_call_success(
self,
mock_request,
mock_tool_context,
sample_endpiont,
sample_operation,
sample_auth_scheme,
sample_auth_credential,
):
mock_response = MagicMock()
mock_response.json.return_value = {"result": "success"}
mock_request.return_value = mock_response
tool = RestApiTool(
name="test_tool",
description="Test Tool",
endpoint=sample_endpiont,
operation=sample_operation,
auth_scheme=sample_auth_scheme,
auth_credential=sample_auth_credential,
)
# Call the method
result = tool.call(args={}, tool_context=mock_tool_context)
# Check the result
assert result == {"result": "success"}
@patch(
"google.adk.tools.openapi_tool.openapi_spec_parser.rest_api_tool.requests.request"
)
def test_call_auth_pending(
self,
mock_request,
sample_endpiont,
sample_operation,
sample_auth_scheme,
sample_auth_credential,
):
tool = RestApiTool(
name="test_tool",
description="Test Tool",
endpoint=sample_endpiont,
operation=sample_operation,
auth_scheme=sample_auth_scheme,
auth_credential=sample_auth_credential,
)
with patch(
"google.adk.tools.openapi_tool.openapi_spec_parser.rest_api_tool.ToolAuthHandler.from_tool_context"
) as mock_from_tool_context:
mock_tool_auth_handler_instance = MagicMock()
mock_tool_auth_handler_instance.prepare_auth_credentials.return_value.state = (
"pending"
)
mock_from_tool_context.return_value = mock_tool_auth_handler_instance
response = tool.call(args={}, tool_context=None)
assert response == {
"pending": True,
"message": "Needs your authorization to access your data.",
}
def test_prepare_request_params_query_body(
self, sample_endpiont, sample_auth_credential, sample_auth_scheme
):
# Create a mock Operation object
mock_operation = Operation(
operationId="test_op",
parameters=[
OpenAPIParameter(**{
"name": "testQueryParam",
"in": "query",
"schema": OpenAPISchema(type="string"),
})
],
requestBody=RequestBody(
content={
"application/json": MediaType(
schema=OpenAPISchema(
type="object",
properties={
"param1": OpenAPISchema(type="string"),
"param2": OpenAPISchema(type="integer"),
},
)
)
}
),
)
tool = RestApiTool(
name="test_tool",
description="test",
endpoint=sample_endpiont,
operation=mock_operation,
auth_credential=sample_auth_credential,
auth_scheme=sample_auth_scheme,
)
params = [
ApiParameter(
original_name="param1",
py_name="param1",
param_location="body",
param_schema=OpenAPISchema(type="string"),
),
ApiParameter(
original_name="param2",
py_name="param2",
param_location="body",
param_schema=OpenAPISchema(type="integer"),
),
ApiParameter(
original_name="testQueryParam",
py_name="test_query_param",
param_location="query",
param_schema=OpenAPISchema(type="string"),
),
]
kwargs = {
"param1": "value1",
"param2": 123,
"test_query_param": "query_value",
}
request_params = tool._prepare_request_params(params, kwargs)
assert request_params["method"] == "get"
assert request_params["url"] == "https://example.com/test"
assert request_params["json"] == {"param1": "value1", "param2": 123}
assert request_params["params"] == {"testQueryParam": "query_value"}
def test_prepare_request_params_array(
self, sample_endpiont, sample_auth_scheme, sample_auth_credential
):
mock_operation = Operation(
operationId="test_op",
requestBody=RequestBody(
content={
"application/json": MediaType(
schema=OpenAPISchema(
type="array", items=OpenAPISchema(type="string")
)
)
}
),
)
tool = RestApiTool(
name="test_tool",
description="test",
endpoint=sample_endpiont,
operation=mock_operation,
auth_credential=sample_auth_credential,
auth_scheme=sample_auth_scheme,
)
params = [
ApiParameter(
original_name="array", # Match the parameter name
py_name="array",
param_location="body",
param_schema=OpenAPISchema(
type="array", items=OpenAPISchema(type="string")
),
)
]
kwargs = {"array": ["item1", "item2"]}
request_params = tool._prepare_request_params(params, kwargs)
assert request_params["json"] == ["item1", "item2"]
def test_prepare_request_params_string(
self, sample_endpiont, sample_auth_credential, sample_auth_scheme
):
mock_operation = Operation(
operationId="test_op",
requestBody=RequestBody(
content={
"text/plain": MediaType(schema=OpenAPISchema(type="string"))
}
),
)
tool = RestApiTool(
name="test_tool",
description="Test Tool",
endpoint=sample_endpiont,
operation=mock_operation,
auth_credential=sample_auth_credential,
auth_scheme=sample_auth_scheme,
)
params = [
ApiParameter(
original_name="",
py_name="input_string",
param_location="body",
param_schema=OpenAPISchema(type="string"),
)
]
kwargs = {"input_string": "test_value"}
request_params = tool._prepare_request_params(params, kwargs)
assert request_params["data"] == "test_value"
assert request_params["headers"]["Content-Type"] == "text/plain"
def test_prepare_request_params_form_data(
self, sample_endpiont, sample_auth_scheme, sample_auth_credential
):
mock_operation = Operation(
operationId="test_op",
requestBody=RequestBody(
content={
"application/x-www-form-urlencoded": MediaType(
schema=OpenAPISchema(
type="object",
properties={"key1": OpenAPISchema(type="string")},
)
)
}
),
)
tool = RestApiTool(
name="test_tool",
description="test",
endpoint=sample_endpiont,
operation=mock_operation,
auth_credential=sample_auth_credential,
auth_scheme=sample_auth_scheme,
)
params = [
ApiParameter(
original_name="key1",
py_name="key1",
param_location="body",
param_schema=OpenAPISchema(type="string"),
)
]
kwargs = {"key1": "value1"}
request_params = tool._prepare_request_params(params, kwargs)
assert request_params["data"] == {"key1": "value1"}
assert (
request_params["headers"]["Content-Type"]
== "application/x-www-form-urlencoded"
)
def test_prepare_request_params_multipart(
self, sample_endpiont, sample_auth_credential, sample_auth_scheme
):
mock_operation = Operation(
operationId="test_op",
requestBody=RequestBody(
content={
"multipart/form-data": MediaType(
schema=OpenAPISchema(
type="object",
properties={
"file1": OpenAPISchema(
type="string", format="binary"
)
},
)
)
}
),
)
tool = RestApiTool(
name="test_tool",
description="test",
endpoint=sample_endpiont,
operation=mock_operation,
auth_credential=sample_auth_credential,
auth_scheme=sample_auth_scheme,
)
params = [
ApiParameter(
original_name="file1",
py_name="file1",
param_location="body",
param_schema=OpenAPISchema(type="string", format="binary"),
)
]
kwargs = {"file1": b"file_content"}
request_params = tool._prepare_request_params(params, kwargs)
assert request_params["files"] == {"file1": b"file_content"}
assert request_params["headers"]["Content-Type"] == "multipart/form-data"
def test_prepare_request_params_octet_stream(
self, sample_endpiont, sample_auth_scheme, sample_auth_credential
):
mock_operation = Operation(
operationId="test_op",
requestBody=RequestBody(
content={
"application/octet-stream": MediaType(
schema=OpenAPISchema(type="string", format="binary")
)
}
),
)
tool = RestApiTool(
name="test_tool",
description="test",
endpoint=sample_endpiont,
operation=mock_operation,
auth_credential=sample_auth_credential,
auth_scheme=sample_auth_scheme,
)
params = [
ApiParameter(
original_name="",
py_name="data",
param_location="body",
param_schema=OpenAPISchema(type="string", format="binary"),
)
]
kwargs = {"data": b"binary_data"}
request_params = tool._prepare_request_params(params, kwargs)
assert request_params["data"] == b"binary_data"
assert (
request_params["headers"]["Content-Type"] == "application/octet-stream"
)
def test_prepare_request_params_path_param(
self, sample_endpiont, sample_auth_credential, sample_auth_scheme
):
mock_operation = Operation(operationId="test_op")
tool = RestApiTool(
name="test_tool",
description="Test Tool",
endpoint=sample_endpiont,
operation=mock_operation,
auth_credential=sample_auth_credential,
auth_scheme=sample_auth_scheme,
)
params = [
ApiParameter(
original_name="user_id",
py_name="user_id",
param_location="path",
param_schema=OpenAPISchema(type="string"),
)
]
kwargs = {"user_id": "123"}
endpoint_with_path = OperationEndpoint(
base_url="https://example.com", path="/test/{user_id}", method="get"
)
tool.endpoint = endpoint_with_path
request_params = tool._prepare_request_params(params, kwargs)
assert (
request_params["url"] == "https://example.com/test/123"
) # Path param replaced
def test_prepare_request_params_header_param(
self,
sample_endpiont,
sample_auth_credential,
sample_auth_scheme,
sample_operation,
):
tool = RestApiTool(
name="test_tool",
description="Test Tool",
endpoint=sample_endpiont,
operation=sample_operation,
auth_credential=sample_auth_credential,
auth_scheme=sample_auth_scheme,
)
params = [
ApiParameter(
original_name="X-Custom-Header",
py_name="x_custom_header",
param_location="header",
param_schema=OpenAPISchema(type="string"),
)
]
kwargs = {"x_custom_header": "header_value"}
request_params = tool._prepare_request_params(params, kwargs)
assert request_params["headers"]["X-Custom-Header"] == "header_value"
def test_prepare_request_params_cookie_param(
self,
sample_endpiont,
sample_auth_credential,
sample_auth_scheme,
sample_operation,
):
tool = RestApiTool(
name="test_tool",
description="Test Tool",
endpoint=sample_endpiont,
operation=sample_operation,
auth_credential=sample_auth_credential,
auth_scheme=sample_auth_scheme,
)
params = [
ApiParameter(
original_name="session_id",
py_name="session_id",
param_location="cookie",
param_schema=OpenAPISchema(type="string"),
)
]
kwargs = {"session_id": "cookie_value"}
request_params = tool._prepare_request_params(params, kwargs)
assert request_params["cookies"]["session_id"] == "cookie_value"
def test_prepare_request_params_multiple_mime_types(
self, sample_endpiont, sample_auth_credential, sample_auth_scheme
):
# Test what happens when multiple mime types are specified. It should take
# the first one.
mock_operation = Operation(
operationId="test_op",
requestBody=RequestBody(
content={
"application/json": MediaType(
schema=OpenAPISchema(type="string")
),
"text/plain": MediaType(schema=OpenAPISchema(type="string")),
}
),
)
tool = RestApiTool(
name="test_tool",
description="Test Tool",
endpoint=sample_endpiont,
operation=mock_operation,
auth_credential=sample_auth_credential,
auth_scheme=sample_auth_scheme,
)
params = [
ApiParameter(
original_name="",
py_name="input",
param_location="body",
param_schema=OpenAPISchema(type="string"),
)
]
kwargs = {"input": "some_value"}
request_params = tool._prepare_request_params(params, kwargs)
assert request_params["headers"]["Content-Type"] == "application/json"
def test_prepare_request_params_unknown_parameter(
self,
sample_endpiont,
sample_auth_credential,
sample_auth_scheme,
sample_operation,
):
tool = RestApiTool(
name="test_tool",
description="Test Tool",
endpoint=sample_endpiont,
operation=sample_operation,
auth_credential=sample_auth_credential,
auth_scheme=sample_auth_scheme,
)
params = [
ApiParameter(
original_name="known_param",
py_name="known_param",
param_location="query",
param_schema=OpenAPISchema(type="string"),
)
]
kwargs = {"known_param": "value", "unknown_param": "unknown"}
request_params = tool._prepare_request_params(params, kwargs)
# Make sure unknown parameters are ignored and do not raise errors.
assert "unknown_param" not in request_params["params"]
def test_prepare_request_params_base_url_handling(
self, sample_auth_credential, sample_auth_scheme, sample_operation
):
# No base_url provided, should use path as is
tool_no_base = RestApiTool(
name="test_tool_no_base",
description="Test Tool",
endpoint=OperationEndpoint(base_url="", path="/no_base", method="get"),
operation=sample_operation,
auth_credential=sample_auth_credential,
auth_scheme=sample_auth_scheme,
)
params = []
kwargs = {}
request_params_no_base = tool_no_base._prepare_request_params(
params, kwargs
)
assert request_params_no_base["url"] == "/no_base"
tool_trailing_slash = RestApiTool(
name="test_tool",
description="Test Tool",
endpoint=OperationEndpoint(
base_url="https://example.com/", path="/trailing", method="get"
),
operation=sample_operation,
auth_credential=sample_auth_credential,
auth_scheme=sample_auth_scheme,
)
request_params_trailing = tool_trailing_slash._prepare_request_params(
params, kwargs
)
assert request_params_trailing["url"] == "https://example.com/trailing"
def test_prepare_request_params_no_unrecognized_query_parameter(
self,
sample_endpiont,
sample_auth_credential,
sample_auth_scheme,
sample_operation,
):
tool = RestApiTool(
name="test_tool",
description="Test Tool",
endpoint=sample_endpiont,
operation=sample_operation,
auth_credential=sample_auth_credential,
auth_scheme=sample_auth_scheme,
)
params = [
ApiParameter(
original_name="unrecognized_param",
py_name="unrecognized_param",
param_location="query",
param_schema=OpenAPISchema(type="string"),
)
]
kwargs = {"unrecognized_param": None} # Explicitly passing None
request_params = tool._prepare_request_params(params, kwargs)
# Query param not in sample_operation. It should be ignored.
assert "unrecognized_param" not in request_params["params"]
def test_prepare_request_params_no_credential(
self,
sample_endpiont,
sample_operation,
):
tool = RestApiTool(
name="test_tool",
description="Test Tool",
endpoint=sample_endpiont,
operation=sample_operation,
auth_credential=None,
auth_scheme=None,
)
params = [
ApiParameter(
original_name="param_name",
py_name="param_name",
param_location="query",
param_schema=OpenAPISchema(type="string"),
)
]
kwargs = {"param_name": "aaa", "empty_param": ""}
request_params = tool._prepare_request_params(params, kwargs)
assert "param_name" in request_params["params"]
assert "empty_param" not in request_params["params"]
class TestToGeminiSchema:
def test_to_gemini_schema_none(self):
assert to_gemini_schema(None) is None
def test_to_gemini_schema_not_dict(self):
with pytest.raises(TypeError, match="openapi_schema must be a dictionary"):
to_gemini_schema("not a dict")
def test_to_gemini_schema_empty_dict(self):
result = to_gemini_schema({})
assert isinstance(result, Schema)
assert result.type == Type.OBJECT
assert result.properties == {"dummy_DO_NOT_GENERATE": Schema(type="string")}
def test_to_gemini_schema_dict_with_only_object_type(self):
result = to_gemini_schema({"type": "object"})
assert isinstance(result, Schema)
assert result.type == Type.OBJECT
assert result.properties == {"dummy_DO_NOT_GENERATE": Schema(type="string")}
def test_to_gemini_schema_basic_types(self):
openapi_schema = {
"type": "object",
"properties": {
"name": {"type": "string"},
"age": {"type": "integer"},
"is_active": {"type": "boolean"},
},
}
gemini_schema = to_gemini_schema(openapi_schema)
assert isinstance(gemini_schema, Schema)
assert gemini_schema.type == Type.OBJECT
assert gemini_schema.properties["name"].type == Type.STRING
assert gemini_schema.properties["age"].type == Type.INTEGER
assert gemini_schema.properties["is_active"].type == Type.BOOLEAN
def test_to_gemini_schema_nested_objects(self):
openapi_schema = {
"type": "object",
"properties": {
"address": {
"type": "object",
"properties": {
"street": {"type": "string"},
"city": {"type": "string"},
},
}
},
}
gemini_schema = to_gemini_schema(openapi_schema)
assert gemini_schema.properties["address"].type == Type.OBJECT
assert (
gemini_schema.properties["address"].properties["street"].type
== Type.STRING
)
assert (
gemini_schema.properties["address"].properties["city"].type
== Type.STRING
)
def test_to_gemini_schema_array(self):
openapi_schema = {
"type": "array",
"items": {"type": "string"},
}
gemini_schema = to_gemini_schema(openapi_schema)
assert gemini_schema.type == Type.ARRAY
assert gemini_schema.items.type == Type.STRING
def test_to_gemini_schema_nested_array(self):
openapi_schema = {
"type": "array",
"items": {
"type": "object",
"properties": {"name": {"type": "string"}},
},
}
gemini_schema = to_gemini_schema(openapi_schema)
assert gemini_schema.items.properties["name"].type == Type.STRING
def test_to_gemini_schema_any_of(self):
openapi_schema = {
"anyOf": [{"type": "string"}, {"type": "integer"}],
}
gemini_schema = to_gemini_schema(openapi_schema)
assert len(gemini_schema.any_of) == 2
assert gemini_schema.any_of[0].type == Type.STRING
assert gemini_schema.any_of[1].type == Type.INTEGER
def test_to_gemini_schema_general_list(self):
openapi_schema = {
"type": "array",
"properties": {
"list_field": {"type": "array", "items": {"type": "string"}},
},
}
gemini_schema = to_gemini_schema(openapi_schema)
assert gemini_schema.properties["list_field"].type == Type.ARRAY
assert gemini_schema.properties["list_field"].items.type == Type.STRING
def test_to_gemini_schema_enum(self):
openapi_schema = {"type": "string", "enum": ["a", "b", "c"]}
gemini_schema = to_gemini_schema(openapi_schema)
assert gemini_schema.enum == ["a", "b", "c"]
def test_to_gemini_schema_required(self):
openapi_schema = {
"type": "object",
"required": ["name"],
"properties": {"name": {"type": "string"}},
}
gemini_schema = to_gemini_schema(openapi_schema)
assert gemini_schema.required == ["name"]
def test_to_gemini_schema_nested_dict(self):
openapi_schema = {
"type": "object",
"properties": {"metadata": {"key1": "value1", "key2": 123}},
}
gemini_schema = to_gemini_schema(openapi_schema)
# Since metadata is not properties nor item, it will call to_gemini_schema recursively.
assert isinstance(gemini_schema.properties["metadata"], Schema)
assert (
gemini_schema.properties["metadata"].type == Type.OBJECT
) # add object type by default
assert gemini_schema.properties["metadata"].properties == {
"dummy_DO_NOT_GENERATE": Schema(type="string")
}
def test_to_gemini_schema_ignore_title_default_format(self):
openapi_schema = {
"type": "string",
"title": "Test Title",
"default": "default_value",
"format": "date",
}
gemini_schema = to_gemini_schema(openapi_schema)
assert gemini_schema.title is None
assert gemini_schema.default is None
assert gemini_schema.format is None
def test_to_gemini_schema_property_ordering(self):
openapi_schema = {
"type": "object",
"propertyOrdering": ["name", "age"],
"properties": {
"name": {"type": "string"},
"age": {"type": "integer"},
},
}
gemini_schema = to_gemini_schema(openapi_schema)
assert gemini_schema.property_ordering == ["name", "age"]
def test_to_gemini_schema_converts_property_dict(self):
openapi_schema = {
"properties": {
"name": {"type": "string", "description": "The property key"},
"value": {"type": "string", "description": "The property value"},
},
"type": "object",
"description": "A single property entry in the Properties message.",
}
gemini_schema = to_gemini_schema(openapi_schema)
assert gemini_schema.type == Type.OBJECT
assert gemini_schema.properties["name"].type == Type.STRING
assert gemini_schema.properties["value"].type == Type.STRING
def test_to_gemini_schema_remove_unrecognized_fields(self):
openapi_schema = {
"type": "string",
"description": "A single date string.",
"format": "date",
}
gemini_schema = to_gemini_schema(openapi_schema)
assert gemini_schema.type == Type.STRING
assert not gemini_schema.format
def test_snake_to_lower_camel():
assert snake_to_lower_camel("single") == "single"
assert snake_to_lower_camel("two_words") == "twoWords"
assert snake_to_lower_camel("three_word_example") == "threeWordExample"
assert not snake_to_lower_camel("")
assert snake_to_lower_camel("alreadyCamelCase") == "alreadyCamelCase"

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@@ -0,0 +1,201 @@
# Copyright 2025 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 typing import Optional
from unittest.mock import MagicMock
from google.adk.agents.invocation_context import InvocationContext
from google.adk.agents.llm_agent import LlmAgent
from google.adk.auth.auth_credential import AuthCredential
from google.adk.auth.auth_credential import AuthCredentialTypes
from google.adk.auth.auth_credential import HttpAuth
from google.adk.auth.auth_credential import HttpCredentials
from google.adk.auth.auth_credential import OAuth2Auth
from google.adk.auth.auth_schemes import AuthScheme
from google.adk.sessions.in_memory_session_service import InMemorySessionService
from google.adk.sessions.session import Session
from google.adk.tools.openapi_tool.auth.auth_helpers import openid_dict_to_scheme_credential
from google.adk.tools.openapi_tool.auth.auth_helpers import token_to_scheme_credential
from google.adk.tools.openapi_tool.auth.credential_exchangers.auto_auth_credential_exchanger import OAuth2CredentialExchanger
from google.adk.tools.openapi_tool.openapi_spec_parser.tool_auth_handler import ToolAuthHandler
from google.adk.tools.openapi_tool.openapi_spec_parser.tool_auth_handler import ToolContextCredentialStore
from google.adk.tools.tool_context import ToolContext
import pytest
# Helper function to create a mock ToolContext
def create_mock_tool_context():
return ToolContext(
function_call_id='test-fc-id',
invocation_context=InvocationContext(
agent=LlmAgent(name='test'),
session=Session(app_name='test', user_id='123', id='123'),
invocation_id='123',
session_service=InMemorySessionService(),
),
)
# Test cases for OpenID Connect
class MockOpenIdConnectCredentialExchanger(OAuth2CredentialExchanger):
def __init__(
self, expected_scheme, expected_credential, expected_access_token
):
self.expected_scheme = expected_scheme
self.expected_credential = expected_credential
self.expected_access_token = expected_access_token
def exchange_credential(
self,
auth_scheme: AuthScheme,
auth_credential: Optional[AuthCredential] = None,
) -> AuthCredential:
if auth_credential.oauth2 and (
auth_credential.oauth2.auth_response_uri
or auth_credential.oauth2.auth_code
):
auth_code = (
auth_credential.oauth2.auth_response_uri
if auth_credential.oauth2.auth_response_uri
else auth_credential.oauth2.auth_code
)
# Simulate the token exchange
updated_credential = AuthCredential(
auth_type=AuthCredentialTypes.HTTP, # Store as a bearer token
http=HttpAuth(
scheme='bearer',
credentials=HttpCredentials(
token=auth_code + self.expected_access_token
),
),
)
return updated_credential
# simulate the case of getting auth_uri
return None
def get_mock_openid_scheme_credential():
config_dict = {
'authorization_endpoint': 'test.com',
'token_endpoint': 'test.com',
}
scopes = ['test_scope']
credential_dict = {
'client_id': '123',
'client_secret': '456',
'redirect_uri': 'test.com',
}
return openid_dict_to_scheme_credential(config_dict, scopes, credential_dict)
# Fixture for the OpenID Connect security scheme
@pytest.fixture
def openid_connect_scheme():
scheme, _ = get_mock_openid_scheme_credential()
return scheme
# Fixture for a base OpenID Connect credential
@pytest.fixture
def openid_connect_credential():
_, credential = get_mock_openid_scheme_credential()
return credential
def test_openid_connect_no_auth_response(
openid_connect_scheme, openid_connect_credential
):
# Setup Mock exchanger
mock_exchanger = MockOpenIdConnectCredentialExchanger(
openid_connect_scheme, openid_connect_credential, None
)
tool_context = create_mock_tool_context()
credential_store = ToolContextCredentialStore(tool_context=tool_context)
handler = ToolAuthHandler(
tool_context,
openid_connect_scheme,
openid_connect_credential,
credential_exchanger=mock_exchanger,
credential_store=credential_store,
)
result = handler.prepare_auth_credentials()
assert result.state == 'pending'
assert result.auth_credential == openid_connect_credential
def test_openid_connect_with_auth_response(
openid_connect_scheme, openid_connect_credential, monkeypatch
):
mock_exchanger = MockOpenIdConnectCredentialExchanger(
openid_connect_scheme,
openid_connect_credential,
'test_access_token',
)
tool_context = create_mock_tool_context()
mock_auth_handler = MagicMock()
mock_auth_handler.get_auth_response.return_value = AuthCredential(
auth_type=AuthCredentialTypes.OPEN_ID_CONNECT,
oauth2=OAuth2Auth(auth_response_uri='test_auth_response_uri'),
)
mock_auth_handler_path = 'google.adk.tools.tool_context.AuthHandler'
monkeypatch.setattr(
mock_auth_handler_path, lambda *args, **kwargs: mock_auth_handler
)
credential_store = ToolContextCredentialStore(tool_context=tool_context)
handler = ToolAuthHandler(
tool_context,
openid_connect_scheme,
openid_connect_credential,
credential_exchanger=mock_exchanger,
credential_store=credential_store,
)
result = handler.prepare_auth_credentials()
assert result.state == 'done'
assert result.auth_credential.auth_type == AuthCredentialTypes.HTTP
assert 'test_access_token' in result.auth_credential.http.credentials.token
# Verify that the credential was stored:
stored_credential = credential_store.get_credential(
openid_connect_scheme, openid_connect_credential
)
assert stored_credential == result.auth_credential
mock_auth_handler.get_auth_response.assert_called_once()
def test_openid_connect_existing_token(
openid_connect_scheme, openid_connect_credential
):
_, existing_credential = token_to_scheme_credential(
'oauth2Token', 'header', 'bearer', '123123123'
)
tool_context = create_mock_tool_context()
# Store the credential to simulate existing credential
credential_store = ToolContextCredentialStore(tool_context=tool_context)
key = credential_store.get_credential_key(
openid_connect_scheme, openid_connect_credential
)
credential_store.store_credential(key, existing_credential)
handler = ToolAuthHandler(
tool_context,
openid_connect_scheme,
openid_connect_credential,
credential_store=credential_store,
)
result = handler.prepare_auth_credentials()
assert result.state == 'done'
assert result.auth_credential == existing_credential

View File

@@ -0,0 +1,14 @@
# Copyright 2025 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.

View File

@@ -0,0 +1,147 @@
# Copyright 2025 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 google.adk.agents import Agent
from google.adk.tools.function_tool import FunctionTool
from google.adk.tools.retrieval.vertex_ai_rag_retrieval import VertexAiRagRetrieval
from google.genai import types
from ... import utils
def noop_tool(x: str) -> str:
return x
def test_vertex_rag_retrieval_for_gemini_1_x():
responses = [
'response1',
]
mockModel = utils.MockModel.create(responses=responses)
mockModel.model = 'gemini-1.5-pro'
# Calls the first time.
agent = Agent(
name='root_agent',
model=mockModel,
tools=[
VertexAiRagRetrieval(
name='rag_retrieval',
description='rag_retrieval',
rag_corpora=[
'projects/123456789/locations/us-central1/ragCorpora/1234567890'
],
)
],
)
runner = utils.InMemoryRunner(agent)
events = runner.run('test1')
# Asserts the requests.
assert len(mockModel.requests) == 1
assert utils.simplify_contents(mockModel.requests[0].contents) == [
('user', 'test1'),
]
assert len(mockModel.requests[0].config.tools) == 1
assert (
mockModel.requests[0].config.tools[0].function_declarations[0].name
== 'rag_retrieval'
)
assert mockModel.requests[0].tools_dict['rag_retrieval'] is not None
def test_vertex_rag_retrieval_for_gemini_1_x_with_another_function_tool():
responses = [
'response1',
]
mockModel = utils.MockModel.create(responses=responses)
mockModel.model = 'gemini-1.5-pro'
# Calls the first time.
agent = Agent(
name='root_agent',
model=mockModel,
tools=[
VertexAiRagRetrieval(
name='rag_retrieval',
description='rag_retrieval',
rag_corpora=[
'projects/123456789/locations/us-central1/ragCorpora/1234567890'
],
),
FunctionTool(func=noop_tool),
],
)
runner = utils.InMemoryRunner(agent)
events = runner.run('test1')
# Asserts the requests.
assert len(mockModel.requests) == 1
assert utils.simplify_contents(mockModel.requests[0].contents) == [
('user', 'test1'),
]
assert len(mockModel.requests[0].config.tools[0].function_declarations) == 2
assert (
mockModel.requests[0].config.tools[0].function_declarations[0].name
== 'rag_retrieval'
)
assert (
mockModel.requests[0].config.tools[0].function_declarations[1].name
== 'noop_tool'
)
assert mockModel.requests[0].tools_dict['rag_retrieval'] is not None
def test_vertex_rag_retrieval_for_gemini_2_x():
responses = [
'response1',
]
mockModel = utils.MockModel.create(responses=responses)
mockModel.model = 'gemini-2.0-flash'
# Calls the first time.
agent = Agent(
name='root_agent',
model=mockModel,
tools=[
VertexAiRagRetrieval(
name='rag_retrieval',
description='rag_retrieval',
rag_corpora=[
'projects/123456789/locations/us-central1/ragCorpora/1234567890'
],
)
],
)
runner = utils.InMemoryRunner(agent)
events = runner.run('test1')
# Asserts the requests.
assert len(mockModel.requests) == 1
assert utils.simplify_contents(mockModel.requests[0].contents) == [
('user', 'test1'),
]
assert len(mockModel.requests[0].config.tools) == 1
assert mockModel.requests[0].config.tools == [
types.Tool(
retrieval=types.Retrieval(
vertex_rag_store=types.VertexRagStore(
rag_corpora=[
'projects/123456789/locations/us-central1/ragCorpora/1234567890'
]
)
)
)
]
assert 'rag_retrieval' not in mockModel.requests[0].tools_dict

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# Copyright 2025 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 google.adk.agents import Agent
from google.adk.agents.callback_context import CallbackContext
from google.adk.tools.agent_tool import AgentTool
from google.genai.types import Part
from pydantic import BaseModel
import pytest
from pytest import mark
from .. import utils
pytestmark = pytest.mark.skip(
reason='Skipping until tool.func evaluations are fixed (async)'
)
function_call_custom = Part.from_function_call(
name='tool_agent', args={'custom_input': 'test1'}
)
function_call_no_schema = Part.from_function_call(
name='tool_agent', args={'request': 'test1'}
)
function_response_custom = Part.from_function_response(
name='tool_agent', response={'custom_output': 'response1'}
)
function_response_no_schema = Part.from_function_response(
name='tool_agent', response={'result': 'response1'}
)
def change_state_callback(callback_context: CallbackContext):
callback_context.state['state_1'] = 'changed_value'
print('change_state_callback: ', callback_context.state)
def test_no_schema():
mock_model = utils.MockModel.create(
responses=[
function_call_no_schema,
'response1',
'response2',
]
)
tool_agent = Agent(
name='tool_agent',
model=mock_model,
)
root_agent = Agent(
name='root_agent',
model=mock_model,
tools=[AgentTool(agent=tool_agent)],
)
runner = utils.InMemoryRunner(root_agent)
assert utils.simplify_events(runner.run('test1')) == [
('root_agent', function_call_no_schema),
('root_agent', function_response_no_schema),
('root_agent', 'response2'),
]
def test_update_state():
"""The agent tool can read and change parent state."""
mock_model = utils.MockModel.create(
responses=[
function_call_no_schema,
'{"custom_output": "response1"}',
'response2',
]
)
tool_agent = Agent(
name='tool_agent',
model=mock_model,
instruction='input: {state_1}',
before_agent_callback=change_state_callback,
)
root_agent = Agent(
name='root_agent',
model=mock_model,
tools=[AgentTool(agent=tool_agent)],
)
runner = utils.InMemoryRunner(root_agent)
runner.session.state['state_1'] = 'state1_value'
runner.run('test1')
assert (
'input: changed_value' in mock_model.requests[1].config.system_instruction
)
assert runner.session.state['state_1'] == 'changed_value'
@mark.parametrize(
'env_variables',
[
'GOOGLE_AI',
# TODO(wanyif): re-enable after fix.
# 'VERTEX',
],
indirect=True,
)
def test_custom_schema():
class CustomInput(BaseModel):
custom_input: str
class CustomOutput(BaseModel):
custom_output: str
mock_model = utils.MockModel.create(
responses=[
function_call_custom,
'{"custom_output": "response1"}',
'response2',
]
)
tool_agent = Agent(
name='tool_agent',
model=mock_model,
input_schema=CustomInput,
output_schema=CustomOutput,
output_key='tool_output',
)
root_agent = Agent(
name='root_agent',
model=mock_model,
tools=[AgentTool(agent=tool_agent)],
)
runner = utils.InMemoryRunner(root_agent)
runner.session.state['state_1'] = 'state1_value'
assert utils.simplify_events(runner.run('test1')) == [
('root_agent', function_call_custom),
('root_agent', function_response_custom),
('root_agent', 'response2'),
]
assert runner.session.state['tool_output'] == {'custom_output': 'response1'}
assert len(mock_model.requests) == 3
# The second request is the tool agent request.
assert mock_model.requests[1].config.response_schema == CustomOutput
assert mock_model.requests[1].config.response_mime_type == 'application/json'

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# Copyright 2025 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 typing import Optional
from google.adk.agents.invocation_context import InvocationContext
from google.adk.agents.sequential_agent import SequentialAgent
from google.adk.models.llm_request import LlmRequest
from google.adk.sessions.in_memory_session_service import InMemorySessionService
from google.adk.tools.base_tool import BaseTool
from google.adk.tools.tool_context import ToolContext
from google.genai import types
import pytest
class _TestingTool(BaseTool):
def __init__(
self,
declaration: Optional[types.FunctionDeclaration] = None,
):
super().__init__(name='test_tool', description='test_description')
self.declaration = declaration
def _get_declaration(self) -> Optional[types.FunctionDeclaration]:
return self.declaration
def _create_tool_context() -> ToolContext:
session_service = InMemorySessionService()
session = session_service.create_session(
app_name='test_app', user_id='test_user'
)
agent = SequentialAgent(name='test_agent')
invocation_context = InvocationContext(
invocation_id='invocation_id',
agent=agent,
session=session,
session_service=session_service,
)
return ToolContext(invocation_context)
@pytest.mark.asyncio
async def test_process_llm_request_no_declaration():
tool = _TestingTool()
tool_context = _create_tool_context()
llm_request = LlmRequest()
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
assert llm_request.config is None
@pytest.mark.asyncio
async def test_process_llm_request_with_declaration():
declaration = types.FunctionDeclaration(
name='test_tool',
description='test_description',
parameters=types.Schema(
type=types.Type.STRING,
title='param_1',
),
)
tool = _TestingTool(declaration)
llm_request = LlmRequest()
tool_context = _create_tool_context()
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
assert llm_request.config.tools[0].function_declarations == [declaration]
@pytest.mark.asyncio
async def test_process_llm_request_with_builtin_tool():
declaration = types.FunctionDeclaration(
name='test_tool',
description='test_description',
parameters=types.Schema(
type=types.Type.STRING,
title='param_1',
),
)
tool = _TestingTool(declaration)
llm_request = LlmRequest(
config=types.GenerateContentConfig(
tools=[types.Tool(google_search=types.GoogleSearch())]
)
)
tool_context = _create_tool_context()
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
# function_declaration is added to another types.Tool without builtin tool.
assert llm_request.config.tools[1].function_declarations == [declaration]
@pytest.mark.asyncio
async def test_process_llm_request_with_builtin_tool_and_another_declaration():
declaration = types.FunctionDeclaration(
name='test_tool',
description='test_description',
parameters=types.Schema(
type=types.Type.STRING,
title='param_1',
),
)
tool = _TestingTool(declaration)
llm_request = LlmRequest(
config=types.GenerateContentConfig(
tools=[
types.Tool(google_search=types.GoogleSearch()),
types.Tool(function_declarations=[types.FunctionDeclaration()]),
]
)
)
tool_context = _create_tool_context()
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
# function_declaration is added to existing types.Tool with function_declaration.
assert llm_request.config.tools[1].function_declarations[1] == declaration

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# Copyright 2025 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 typing import Dict
from typing import List
from google.adk.tools import _automatic_function_calling_util
from google.adk.tools.agent_tool import ToolContext
from google.adk.tools.langchain_tool import LangchainTool
# TODO: crewai requires python 3.10 as minimum
# from crewai_tools import FileReadTool
from langchain_community.tools import ShellTool
from pydantic import BaseModel
import pytest
def test_unsupported_variant():
def simple_function(input_str: str) -> str:
return {'result': input_str}
with pytest.raises(ValueError):
_automatic_function_calling_util.build_function_declaration(
func=simple_function, variant='Unsupported'
)
def test_string_input():
def simple_function(input_str: str) -> str:
return {'result': input_str}
function_decl = _automatic_function_calling_util.build_function_declaration(
func=simple_function
)
assert function_decl.name == 'simple_function'
assert function_decl.parameters.type == 'OBJECT'
assert function_decl.parameters.properties['input_str'].type == 'STRING'
def test_int_input():
def simple_function(input_str: int) -> str:
return {'result': input_str}
function_decl = _automatic_function_calling_util.build_function_declaration(
func=simple_function
)
assert function_decl.name == 'simple_function'
assert function_decl.parameters.type == 'OBJECT'
assert function_decl.parameters.properties['input_str'].type == 'INTEGER'
def test_float_input():
def simple_function(input_str: float) -> str:
return {'result': input_str}
function_decl = _automatic_function_calling_util.build_function_declaration(
func=simple_function
)
assert function_decl.name == 'simple_function'
assert function_decl.parameters.type == 'OBJECT'
assert function_decl.parameters.properties['input_str'].type == 'NUMBER'
def test_bool_input():
def simple_function(input_str: bool) -> str:
return {'result': input_str}
function_decl = _automatic_function_calling_util.build_function_declaration(
func=simple_function
)
assert function_decl.name == 'simple_function'
assert function_decl.parameters.type == 'OBJECT'
assert function_decl.parameters.properties['input_str'].type == 'BOOLEAN'
def test_array_input():
def simple_function(input_str: List[str]) -> str:
return {'result': input_str}
function_decl = _automatic_function_calling_util.build_function_declaration(
func=simple_function
)
assert function_decl.name == 'simple_function'
assert function_decl.parameters.type == 'OBJECT'
assert function_decl.parameters.properties['input_str'].type == 'ARRAY'
def test_dict_input():
def simple_function(input_str: Dict[str, str]) -> str:
return {'result': input_str}
function_decl = _automatic_function_calling_util.build_function_declaration(
func=simple_function
)
assert function_decl.name == 'simple_function'
assert function_decl.parameters.type == 'OBJECT'
assert function_decl.parameters.properties['input_str'].type == 'OBJECT'
def test_basemodel_input():
class CustomInput(BaseModel):
input_str: str
def simple_function(input: CustomInput) -> str:
return {'result': input}
function_decl = _automatic_function_calling_util.build_function_declaration(
func=simple_function
)
assert function_decl.name == 'simple_function'
assert function_decl.parameters.type == 'OBJECT'
assert function_decl.parameters.properties['input'].type == 'OBJECT'
assert (
function_decl.parameters.properties['input'].properties['input_str'].type
== 'STRING'
)
def test_toolcontext_ignored():
def simple_function(input_str: str, tool_context: ToolContext) -> str:
return {'result': input_str}
function_decl = _automatic_function_calling_util.build_function_declaration(
func=simple_function, ignore_params=['tool_context']
)
assert function_decl.name == 'simple_function'
assert function_decl.parameters.type == 'OBJECT'
assert function_decl.parameters.properties['input_str'].type == 'STRING'
assert 'tool_context' not in function_decl.parameters.properties
def test_basemodel():
class SimpleFunction(BaseModel):
input_str: str
custom_input: int
function_decl = _automatic_function_calling_util.build_function_declaration(
func=SimpleFunction, ignore_params=['custom_input']
)
assert function_decl.name == 'SimpleFunction'
assert function_decl.parameters.type == 'OBJECT'
assert function_decl.parameters.properties['input_str'].type == 'STRING'
assert 'custom_input' not in function_decl.parameters.properties
def test_nested_basemodel_input():
class ChildInput(BaseModel):
input_str: str
class CustomInput(BaseModel):
child: ChildInput
def simple_function(input: CustomInput) -> str:
return {'result': input}
function_decl = _automatic_function_calling_util.build_function_declaration(
func=simple_function
)
assert function_decl.name == 'simple_function'
assert function_decl.parameters.type == 'OBJECT'
assert function_decl.parameters.properties['input'].type == 'OBJECT'
assert (
function_decl.parameters.properties['input'].properties['child'].type
== 'OBJECT'
)
assert (
function_decl.parameters.properties['input']
.properties['child']
.properties['input_str']
.type
== 'STRING'
)
def test_basemodel_with_nested_basemodel():
class ChildInput(BaseModel):
input_str: str
class CustomInput(BaseModel):
child: ChildInput
function_decl = _automatic_function_calling_util.build_function_declaration(
func=CustomInput, ignore_params=['custom_input']
)
assert function_decl.name == 'CustomInput'
assert function_decl.parameters.type == 'OBJECT'
assert function_decl.parameters.properties['child'].type == 'OBJECT'
assert (
function_decl.parameters.properties['child'].properties['input_str'].type
== 'STRING'
)
assert 'custom_input' not in function_decl.parameters.properties
def test_list():
def simple_function(
input_str: List[str], input_dir: List[Dict[str, str]]
) -> str:
return {'result': input_str}
function_decl = _automatic_function_calling_util.build_function_declaration(
func=simple_function
)
assert function_decl.name == 'simple_function'
assert function_decl.parameters.type == 'OBJECT'
assert function_decl.parameters.properties['input_str'].type == 'ARRAY'
assert function_decl.parameters.properties['input_str'].items.type == 'STRING'
assert function_decl.parameters.properties['input_dir'].type == 'ARRAY'
assert function_decl.parameters.properties['input_dir'].items.type == 'OBJECT'
def test_basemodel_list():
class ChildInput(BaseModel):
input_str: str
class CustomInput(BaseModel):
child: ChildInput
def simple_function(input_str: List[CustomInput]) -> str:
return {'result': input_str}
function_decl = _automatic_function_calling_util.build_function_declaration(
func=simple_function
)
assert function_decl.name == 'simple_function'
assert function_decl.parameters.type == 'OBJECT'
assert function_decl.parameters.properties['input_str'].type == 'ARRAY'
assert function_decl.parameters.properties['input_str'].items.type == 'OBJECT'
assert (
function_decl.parameters.properties['input_str']
.items.properties['child']
.type
== 'OBJECT'
)
assert (
function_decl.parameters.properties['input_str']
.items.properties['child']
.properties['input_str']
.type
== 'STRING'
)
# TODO: comment out this test for now as crewai requires python 3.10 as minimum
# def test_crewai_tool():
# docs_tool = CrewaiTool(
# name='direcotry_read_tool',
# description='use this to find files for you.',
# tool=FileReadTool(),
# )
# function_decl = docs_tool.get_declaration()
# assert function_decl.name == 'direcotry_read_tool'
# assert function_decl.parameters.type == 'OBJECT'
# assert function_decl.parameters.properties['file_path'].type == 'STRING'

304
tests/unittests/utils.py Normal file
View File

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# Copyright 2025 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.
import asyncio
import contextlib
from typing import AsyncGenerator
from typing import Generator
from typing import Union
from google.adk.agents.invocation_context import InvocationContext
from google.adk.agents.live_request_queue import LiveRequestQueue
from google.adk.agents.llm_agent import Agent
from google.adk.agents.llm_agent import LlmAgent
from google.adk.agents.run_config import RunConfig
from google.adk.artifacts import InMemoryArtifactService
from google.adk.events.event import Event
from google.adk.memory.in_memory_memory_service import InMemoryMemoryService
from google.adk.models.base_llm import BaseLlm
from google.adk.models.base_llm_connection import BaseLlmConnection
from google.adk.models.llm_request import LlmRequest
from google.adk.models.llm_response import LlmResponse
from google.adk.runners import InMemoryRunner as AfInMemoryRunner
from google.adk.runners import Runner
from google.adk.sessions.in_memory_session_service import InMemorySessionService
from google.adk.sessions.session import Session
from google.genai import types
from google.genai.types import Part
from typing_extensions import override
class UserContent(types.Content):
def __init__(self, text_or_part: str):
parts = [
types.Part.from_text(text=text_or_part)
if isinstance(text_or_part, str)
else text_or_part
]
super().__init__(role='user', parts=parts)
class ModelContent(types.Content):
def __init__(self, parts: list[types.Part]):
super().__init__(role='model', parts=parts)
def create_invocation_context(agent: Agent, user_content: str = ''):
invocation_id = 'test_id'
artifact_service = InMemoryArtifactService()
session_service = InMemorySessionService()
memory_service = InMemoryMemoryService()
invocation_context = InvocationContext(
artifact_service=artifact_service,
session_service=session_service,
memory_service=memory_service,
invocation_id=invocation_id,
agent=agent,
session=session_service.create_session(
app_name='test_app', user_id='test_user'
),
user_content=types.Content(
role='user', parts=[types.Part.from_text(text=user_content)]
),
run_config=RunConfig(),
)
if user_content:
append_user_content(
invocation_context, [types.Part.from_text(text=user_content)]
)
return invocation_context
def append_user_content(
invocation_context: InvocationContext, parts: list[types.Part]
) -> Event:
session = invocation_context.session
event = Event(
invocation_id=invocation_context.invocation_id,
author='user',
content=types.Content(role='user', parts=parts),
)
session.events.append(event)
return event
# Extracts the contents from the events and transform them into a list of
# (author, simplified_content) tuples.
def simplify_events(events: list[Event]) -> list[(str, types.Part)]:
return [(event.author, simplify_content(event.content)) for event in events]
# Simplifies the contents into a list of (author, simplified_content) tuples.
def simplify_contents(contents: list[types.Content]) -> list[(str, types.Part)]:
return [(content.role, simplify_content(content)) for content in contents]
# Simplifies the content so it's easier to assert.
# - If there is only one part, return part
# - If the only part is pure text, return stripped_text
# - If there are multiple parts, return parts
# - remove function_call_id if it exists
def simplify_content(
content: types.Content,
) -> Union[str, types.Part, list[types.Part]]:
for part in content.parts:
if part.function_call and part.function_call.id:
part.function_call.id = None
if part.function_response and part.function_response.id:
part.function_response.id = None
if len(content.parts) == 1:
if content.parts[0].text:
return content.parts[0].text.strip()
else:
return content.parts[0]
return content.parts
def get_user_content(message: types.ContentUnion) -> types.Content:
return message if isinstance(message, types.Content) else UserContent(message)
class TestInMemoryRunner(AfInMemoryRunner):
"""InMemoryRunner that is tailored for tests, features async run method.
app_name is hardcoded as InMemoryRunner in the parent class.
"""
async def run_async_with_new_session(
self, new_message: types.ContentUnion
) -> list[Event]:
session = self.session_service.create_session(
app_name='InMemoryRunner', user_id='test_user'
)
collected_events = []
async for event in self.run_async(
user_id=session.user_id,
session_id=session.id,
new_message=get_user_content(new_message),
):
collected_events.append(event)
return collected_events
class InMemoryRunner:
"""InMemoryRunner that is tailored for tests."""
def __init__(
self,
root_agent: Union[Agent, LlmAgent],
response_modalities: list[str] = None,
):
self.root_agent = root_agent
self.runner = Runner(
app_name='test_app',
agent=root_agent,
artifact_service=InMemoryArtifactService(),
session_service=InMemorySessionService(),
memory_service=InMemoryMemoryService(),
)
self.session_id = self.runner.session_service.create_session(
app_name='test_app', user_id='test_user'
).id
@property
def session(self) -> Session:
return self.runner.session_service.get_session(
app_name='test_app', user_id='test_user', session_id=self.session_id
)
def run(self, new_message: types.ContentUnion) -> list[Event]:
return list(
self.runner.run(
user_id=self.session.user_id,
session_id=self.session.id,
new_message=get_user_content(new_message),
)
)
def run_live(self, live_request_queue: LiveRequestQueue) -> list[Event]:
collected_responses = []
async def consume_responses():
run_res = self.runner.run_live(
session=self.session,
live_request_queue=live_request_queue,
)
async for response in run_res:
collected_responses.append(response)
# When we have enough response, we should return
if len(collected_responses) >= 1:
return
try:
asyncio.run(consume_responses())
except asyncio.TimeoutError:
print('Returning any partial results collected so far.')
return collected_responses
class MockModel(BaseLlm):
model: str = 'mock'
requests: list[LlmRequest] = []
responses: list[LlmResponse]
response_index: int = -1
@classmethod
def create(
cls,
responses: Union[
list[types.Part], list[LlmResponse], list[str], list[list[types.Part]]
],
):
if not responses:
return cls(responses=[])
elif isinstance(responses[0], LlmResponse):
# responses is list[LlmResponse]
return cls(responses=responses)
else:
responses = [
LlmResponse(content=ModelContent(item))
if isinstance(item, list) and isinstance(item[0], types.Part)
# responses is list[list[Part]]
else LlmResponse(
content=ModelContent(
# responses is list[str] or list[Part]
[Part(text=item) if isinstance(item, str) else item]
)
)
for item in responses
if item
]
return cls(responses=responses)
@staticmethod
def supported_models() -> list[str]:
return ['mock']
def generate_content(
self, llm_request: LlmRequest, stream: bool = False
) -> Generator[LlmResponse, None, None]:
# Increasement of the index has to happen before the yield.
self.response_index += 1
self.requests.append(llm_request)
# yield LlmResponse(content=self.responses[self.response_index])
yield self.responses[self.response_index]
@override
async def generate_content_async(
self, llm_request: LlmRequest, stream: bool = False
) -> AsyncGenerator[LlmResponse, None]:
# Increasement of the index has to happen before the yield.
self.response_index += 1
self.requests.append(llm_request)
yield self.responses[self.response_index]
@contextlib.asynccontextmanager
async def connect(self, llm_request: LlmRequest) -> BaseLlmConnection:
"""Creates a live connection to the LLM."""
yield MockLlmConnection(self.responses)
class MockLlmConnection(BaseLlmConnection):
def __init__(self, llm_responses: list[LlmResponse]):
self.llm_responses = llm_responses
async def send_history(self, history: list[types.Content]):
pass
async def send_content(self, content: types.Content):
pass
async def send(self, data):
pass
async def send_realtime(self, blob: types.Blob):
pass
async def receive(self) -> AsyncGenerator[LlmResponse, None]:
"""Yield each of the pre-defined LlmResponses."""
for response in self.llm_responses:
yield response
async def close(self):
pass