mirror of
https://github.com/EvolutionAPI/adk-python.git
synced 2025-12-18 19:32:21 -06:00
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:
167
tests/unittests/tools/test_agent_tool.py
Normal file
167
tests/unittests/tools/test_agent_tool.py
Normal file
@@ -0,0 +1,167 @@
|
||||
# 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'
|
||||
Reference in New Issue
Block a user