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

221 lines
7.2 KiB
Python

# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Unit tests for NL planning logic."""
from typing import List
from typing import Optional
from unittest.mock import MagicMock
from unittest.mock import patch
from google.adk.agents.callback_context import CallbackContext
from google.adk.agents.llm_agent import Agent
from google.adk.flows.llm_flows._nl_planning import request_processor
from google.adk.flows.llm_flows._nl_planning import response_processor
from google.adk.models.llm_request import LlmRequest
from google.adk.models.llm_response import LlmResponse
from google.adk.planners.built_in_planner import BuiltInPlanner
from google.adk.planners.plan_re_act_planner import PlanReActPlanner
from google.genai import types
import pytest
from ... import testing_utils
@pytest.mark.asyncio
async def test_built_in_planner_content_list_unchanged():
"""Test that BuiltInPlanner doesn't modify LlmRequest content list."""
planner = BuiltInPlanner(thinking_config=types.ThinkingConfig())
agent = Agent(name='test_agent', planner=planner)
invocation_context = await testing_utils.create_invocation_context(
agent=agent, user_content='test message'
)
# Create user/model/user conversation with thought in model response
llm_request = LlmRequest(
contents=[
types.UserContent(parts=[types.Part(text='Hello')]),
types.ModelContent(
parts=[
types.Part(text='thinking...', thought=True),
types.Part(text='Here is my response'),
]
),
types.UserContent(parts=[types.Part(text='Follow up')]),
]
)
original_contents = llm_request.contents.copy()
async for _ in request_processor.run_async(invocation_context, llm_request):
pass
assert llm_request.contents == original_contents
@pytest.mark.asyncio
async def test_built_in_planner_apply_thinking_config_called():
"""Test that BuiltInPlanner.apply_thinking_config is called."""
planner = BuiltInPlanner(thinking_config=types.ThinkingConfig())
planner.apply_thinking_config = MagicMock()
agent = Agent(name='test_agent', planner=planner)
invocation_context = await testing_utils.create_invocation_context(
agent=agent, user_content='test message'
)
llm_request = LlmRequest()
async for _ in request_processor.run_async(invocation_context, llm_request):
pass
planner.apply_thinking_config.assert_called_once_with(llm_request)
@pytest.mark.asyncio
async def test_plan_react_planner_instruction_appended():
"""Test that PlanReActPlanner appends planning instruction."""
planner = PlanReActPlanner()
planner.build_planning_instruction = MagicMock(
return_value='Test instruction'
)
agent = Agent(name='test_agent', planner=planner)
invocation_context = await testing_utils.create_invocation_context(
agent=agent, user_content='test message'
)
llm_request = LlmRequest()
llm_request.config.system_instruction = 'Original instruction'
async for _ in request_processor.run_async(invocation_context, llm_request):
pass
assert llm_request.config.system_instruction == ("""\
Original instruction
Test instruction""")
@pytest.mark.asyncio
async def test_remove_thought_from_request_with_thoughts():
"""Test that PlanReActPlanner removes thought flags from content parts."""
planner = PlanReActPlanner()
agent = Agent(name='test_agent', planner=planner)
invocation_context = await testing_utils.create_invocation_context(
agent=agent, user_content='test message'
)
llm_request = LlmRequest(
contents=[
types.UserContent(parts=[types.Part(text='initial query')]),
types.ModelContent(
parts=[
types.Part(text='Text with thought', thought=True),
types.Part(text='Regular text'),
]
),
types.UserContent(parts=[types.Part(text='follow up')]),
]
)
async for _ in request_processor.run_async(invocation_context, llm_request):
pass
assert all(
part.thought is None
for content in llm_request.contents
for part in content.parts or []
)
class OverriddenBuiltInPlanner(BuiltInPlanner):
"""Subclass that overrides process_planning_response."""
def __init__(self, *, thinking_config: types.ThinkingConfig):
super().__init__(thinking_config=thinking_config)
self.process_planning_response_called = False
self.received_parts = None
def process_planning_response(
self,
callback_context: CallbackContext,
response_parts: List[types.Part],
) -> Optional[List[types.Part]]:
self.process_planning_response_called = True
self.received_parts = response_parts
return response_parts
class NonOverriddenBuiltInPlanner(BuiltInPlanner):
"""Subclass that does NOT override process_planning_response."""
pass
@pytest.mark.asyncio
async def test_overridden_subclass_process_planning_response_called():
"""Test that subclasses overriding process_planning_response have it called.
Regression test for issue #4133.
"""
planner = OverriddenBuiltInPlanner(thinking_config=types.ThinkingConfig())
agent = Agent(name='test_agent', planner=planner)
invocation_context = await testing_utils.create_invocation_context(
agent=agent, user_content='test message'
)
response_parts = [
types.Part(text='thinking...', thought=True),
types.Part(text='Here is my response'),
]
llm_response = LlmResponse(
content=types.Content(role='model', parts=response_parts)
)
async for _ in response_processor.run_async(invocation_context, llm_response):
pass
assert planner.process_planning_response_called
assert planner.received_parts == response_parts
@pytest.mark.asyncio
@pytest.mark.parametrize(
'planner_class',
[BuiltInPlanner, NonOverriddenBuiltInPlanner],
ids=['base_class', 'non_overridden_subclass'],
)
async def test_process_planning_response_not_called_without_override(
planner_class,
):
"""Test that process_planning_response is not called for base or non-overridden subclasses."""
planner = planner_class(thinking_config=types.ThinkingConfig())
agent = Agent(name='test_agent', planner=planner)
invocation_context = await testing_utils.create_invocation_context(
agent=agent, user_content='test message'
)
response_parts = [
types.Part(text='thinking...', thought=True),
types.Part(text='Here is my response'),
]
llm_response = LlmResponse(
content=types.Content(role='model', parts=response_parts)
)
with patch.object(
BuiltInPlanner,
'process_planning_response',
) as mock_method:
async for _ in response_processor.run_async(
invocation_context, llm_response
):
pass
mock_method.assert_not_called()