Files
adk-python/tests/unittests/evaluation/test_evaluation_generator.py
T
Google Team MemberandCopybara-Service aeaec859bf feat: Adds Static User Simulator and User Simulator Provider
Details:
- Adds the `StaticUserSimulator` which implements the current functionality of supplying a fixed set of user prompts for an EvalCase.
- Adds the `UserSimulatorProvider` which determines the type of user simulator required for an EvalCase (StaticUserSimulator or LlmBackedUserSimulator).
- Integrates the UserSimulatorProvider and UserSimulator into the CLI and evaluation infrastructure.
- Updates and adds unit tests for the new functionality.
- Miscellaneous updates to lay groundwork for a full implementation of the LlmBackedUserSimulator in the future.
PiperOrigin-RevId: 822198401
2025-10-21 11:15:11 -07:00

458 lines
16 KiB
Python

# 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 __future__ import annotations
from google.adk.evaluation.app_details import AgentDetails
from google.adk.evaluation.app_details import AppDetails
from google.adk.evaluation.evaluation_generator import EvaluationGenerator
from google.adk.evaluation.request_intercepter_plugin import _RequestIntercepterPlugin
from google.adk.evaluation.user_simulator import NextUserMessage
from google.adk.evaluation.user_simulator import Status as UserSimulatorStatus
from google.adk.evaluation.user_simulator import UserSimulator
from google.adk.events.event import Event
from google.adk.models.llm_request import LlmRequest
from google.genai import types
import pytest
def _build_event(
author: str, parts: list[types.Part], invocation_id: str
) -> Event:
"""Builds an Event object with specified parts."""
return Event(
author=author,
content=types.Content(parts=parts),
invocation_id=invocation_id,
)
class TestConvertEventsToEvalInvocation:
"""Test cases for EvaluationGenerator.convert_events_to_eval_invocations method."""
def test_convert_events_to_eval_invocations_empty(
self,
):
"""Tests conversion with an empty list of events."""
invocations = EvaluationGenerator.convert_events_to_eval_invocations([])
assert invocations == []
def test_convert_single_turn_text_only(
self,
):
"""Tests a single turn with a text response."""
events = [
_build_event("user", [types.Part(text="Hello")], "inv1"),
_build_event("agent", [types.Part(text="Hi there!")], "inv1"),
]
invocations = EvaluationGenerator.convert_events_to_eval_invocations(events)
assert len(invocations) == 1
invocation = invocations[0]
assert invocation.invocation_id == "inv1"
assert invocation.user_content.parts[0].text == "Hello"
assert invocation.final_response.parts[0].text == "Hi there!"
assert len(invocation.intermediate_data.invocation_events) == 0
def test_convert_single_turn_tool_call(
self,
):
"""Tests a single turn with a tool call."""
events = [
_build_event("user", [types.Part(text="what is the weather?")], "inv1"),
_build_event(
"agent",
[
types.Part(
function_call=types.FunctionCall(
name="get_weather", args={}
)
)
],
"inv1",
),
]
invocations = EvaluationGenerator.convert_events_to_eval_invocations(events)
assert len(invocations) == 1
invocation = invocations[0]
assert invocation.user_content.parts[0].text == "what is the weather?"
assert invocation.final_response is None
events = invocation.intermediate_data.invocation_events
assert len(events) == 1
assert events[0].author == "agent"
assert events[0].content.parts[0].function_call.name == "get_weather"
def test_convert_single_turn_tool_and_text_response(
self,
):
"""Tests a single turn with a tool call and a final text response."""
events = [
_build_event("user", [types.Part(text="what is the weather?")], "inv1"),
_build_event(
"agent",
[
types.Part(
function_call=types.FunctionCall(
name="get_weather", args={}
)
)
],
"inv1",
),
_build_event("agent", [types.Part(text="It is sunny in SF.")], "inv1"),
]
invocations = EvaluationGenerator.convert_events_to_eval_invocations(events)
assert len(invocations) == 1
invocation = invocations[0]
assert invocation.final_response.parts[0].text == "It is sunny in SF."
events = invocation.intermediate_data.invocation_events
assert len(events) == 1
assert events[0].content.parts[0].function_call.name == "get_weather"
def test_multi_turn(
self,
):
"""Tests a conversation with multiple turns."""
events = [
_build_event("user", [types.Part(text="Hello")], "inv1"),
_build_event("agent", [types.Part(text="Hi there!")], "inv1"),
_build_event("user", [types.Part(text="How are you?")], "inv2"),
_build_event("agent", [types.Part(text="I am fine.")], "inv2"),
]
invocations = EvaluationGenerator.convert_events_to_eval_invocations(events)
assert len(invocations) == 2
assert invocations[0].user_content.parts[0].text == "Hello"
assert invocations[0].final_response.parts[0].text == "Hi there!"
assert invocations[1].user_content.parts[0].text == "How are you?"
assert invocations[1].final_response.parts[0].text == "I am fine."
def test_multi_agent(
self,
):
"""Tests a multi-agent scenario creating multiple steps."""
events = [
_build_event("user", [types.Part(text="Do something")], "inv1"),
_build_event(
"root_agent",
[
types.Part(
function_call=types.FunctionCall(name="tool1", args={})
)
],
"inv1",
),
_build_event(
"sub_agent_1",
[
types.Part(
function_call=types.FunctionCall(name="tool2", args={})
)
],
"inv1",
),
_build_event(
"sub_agent_1",
[
types.Part(
function_call=types.FunctionCall(name="tool3", args={})
),
types.Part(text="intermediate response"),
],
"inv1",
),
_build_event(
"sub_agent_2",
[
types.Part(
function_call=types.FunctionCall(name="tool4", args={})
)
],
"inv1",
),
_build_event("root_agent", [types.Part(text="All done.")], "inv1"),
]
invocations = EvaluationGenerator.convert_events_to_eval_invocations(events)
assert len(invocations) == 1
invocation = invocations[0]
assert invocation.final_response.parts[0].text == "All done."
events = invocation.intermediate_data.invocation_events
assert len(events) == 4
assert events[0].author == "root_agent"
assert events[1].author == "sub_agent_1"
assert events[2].author == "sub_agent_1"
assert events[3].author == "sub_agent_2"
class TestGetAppDetailsByInvocationId:
"""Test cases for EvaluationGenerator._get_app_details_by_invocation_id method."""
def test_get_app_details_by_invocation_id_empty(self, mocker):
"""Tests with an empty list of events."""
mock_request_intercepter = mocker.MagicMock(spec=_RequestIntercepterPlugin)
app_details = EvaluationGenerator._get_app_details_by_invocation_id(
[], mock_request_intercepter
)
assert app_details == {}
def test_get_app_details_by_invocation_id_no_model_requests(self, mocker):
"""Tests when request_intercepter returns no model requests."""
mock_request_intercepter = mocker.MagicMock(spec=_RequestIntercepterPlugin)
mock_request_intercepter.get_model_request.return_value = None
events = [
_build_event("user", [types.Part(text="Hello")], "inv1"),
_build_event("agent", [types.Part(text="Hi there!")], "inv1"),
]
app_details = EvaluationGenerator._get_app_details_by_invocation_id(
events, mock_request_intercepter
)
assert app_details == {"inv1": AppDetails(agent_details={})}
mock_request_intercepter.get_model_request.assert_called_once_with(
events[1]
)
def test_get_app_details_single_invocation_single_agent(self, mocker):
"""Tests a single invocation with one agent."""
mock_request_intercepter = mocker.MagicMock(spec=_RequestIntercepterPlugin)
mock_llm_request = LlmRequest(model="test")
mock_llm_request.config.system_instruction = "instruction1"
mock_llm_request.config.tools = [types.Tool()]
mock_request_intercepter.get_model_request.return_value = mock_llm_request
events = [
_build_event("user", [types.Part(text="Hello")], "inv1"),
_build_event("agent", [types.Part(text="Hi there!")], "inv1"),
]
app_details = EvaluationGenerator._get_app_details_by_invocation_id(
events, mock_request_intercepter
)
expected_app_details = {
"inv1": AppDetails(
agent_details={
"agent": AgentDetails(
name="agent",
instructions="instruction1",
tool_declarations=[types.Tool()],
)
}
)
}
assert app_details == expected_app_details
mock_request_intercepter.get_model_request.assert_called_once_with(
events[1]
)
def test_get_app_details_multiple_invocations_multiple_agents(self, mocker):
"""Tests multiple invocations with multiple agents."""
mock_request_intercepter = mocker.MagicMock(spec=_RequestIntercepterPlugin)
def get_model_request_side_effect(event):
mock_llm_request = LlmRequest(model="test")
if event.invocation_id == "inv1" and event.author == "agent1":
mock_llm_request.config.system_instruction = "instruction1"
mock_llm_request.config.tools = [
types.Tool(
function_declarations=[types.FunctionDeclaration(name="tool1")]
)
]
return mock_llm_request
if event.invocation_id == "inv2" and event.author == "agent2":
mock_llm_request.config.system_instruction = "instruction2"
return mock_llm_request
return None
mock_request_intercepter.get_model_request.side_effect = (
get_model_request_side_effect
)
events = [
_build_event("user", [types.Part(text="Hello")], "inv1"),
_build_event("agent1", [types.Part(text="Hi there!")], "inv1"),
_build_event("user", [types.Part(text="Hello again")], "inv2"),
_build_event("agent2", [types.Part(text="Hi again!")], "inv2"),
_build_event(
"agent1", [types.Part(text="Hi again from agent1")], "inv2"
), # no request
]
app_details = EvaluationGenerator._get_app_details_by_invocation_id(
events, mock_request_intercepter
)
expected_app_details = {
"inv1": AppDetails(
agent_details={
"agent1": AgentDetails(
name="agent1",
instructions="instruction1",
tool_declarations=[
types.Tool(
function_declarations=[
types.FunctionDeclaration(name="tool1")
]
)
],
)
}
),
"inv2": AppDetails(
agent_details={
"agent2": AgentDetails(
name="agent2",
instructions="instruction2",
tool_declarations=[],
)
}
),
}
assert app_details == expected_app_details
assert mock_request_intercepter.get_model_request.call_count == 3
class TestGenerateInferencesForSingleUserInvocation:
"""Test cases for EvaluationGenerator._generate_inferences_for_single_user_invocation method."""
@pytest.mark.asyncio
async def test_generate_inferences_with_mock_runner(self, mocker):
"""Tests inference generation with a mocked runner."""
runner = mocker.MagicMock()
agent_parts = [types.Part(text="Agent response")]
async def mock_run_async(*args, **kwargs):
yield _build_event(
author="agent",
parts=agent_parts,
invocation_id="inv1",
)
runner.run_async.return_value = mock_run_async()
user_content = types.Content(parts=[types.Part(text="User query")])
events = [
event
async for event in EvaluationGenerator._generate_inferences_for_single_user_invocation(
runner, "test_user", "test_session", user_content
)
]
assert len(events) == 2
assert events[0].author == "user"
assert events[0].content == user_content
assert events[0].invocation_id == "inv1"
assert events[1].author == "agent"
assert events[1].content.parts == agent_parts
runner.run_async.assert_called_once_with(
user_id="test_user",
session_id="test_session",
new_message=user_content,
)
@pytest.fixture
def mock_runner(mocker):
"""Provides a mock Runner for testing."""
mock_runner_cls = mocker.patch(
"google.adk.evaluation.evaluation_generator.Runner"
)
mock_runner_instance = mocker.AsyncMock()
mock_runner_instance.__aenter__.return_value = mock_runner_instance
mock_runner_cls.return_value = mock_runner_instance
yield mock_runner_instance
@pytest.fixture
def mock_session_service(mocker):
"""Provides a mock InMemorySessionService for testing."""
mock_session_service_cls = mocker.patch(
"google.adk.evaluation.evaluation_generator.InMemorySessionService"
)
mock_session_service_instance = mocker.MagicMock()
mock_session_service_instance.create_session = mocker.AsyncMock()
mock_session_service_cls.return_value = mock_session_service_instance
yield mock_session_service_instance
class TestGenerateInferencesFromRootAgent:
"""Test cases for EvaluationGenerator._generate_inferences_from_root_agent method."""
@pytest.mark.asyncio
async def test_generates_inferences_with_user_simulator(
self, mocker, mock_runner, mock_session_service
):
"""Tests that inferences are generated by interacting with a user simulator."""
mock_agent = mocker.MagicMock()
mock_user_sim = mocker.MagicMock(spec=UserSimulator)
# Mock user simulator will produce one message, then stop.
async def get_next_user_message_side_effect(*args, **kwargs):
if mock_user_sim.get_next_user_message.call_count == 1:
return NextUserMessage(
status=UserSimulatorStatus.SUCCESS,
user_message=types.Content(parts=[types.Part(text="message 1")]),
)
return NextUserMessage(status=UserSimulatorStatus.STOP_SIGNAL_DETECTED)
mock_user_sim.get_next_user_message = mocker.AsyncMock(
side_effect=get_next_user_message_side_effect
)
mock_generate_inferences = mocker.patch(
"google.adk.evaluation.evaluation_generator.EvaluationGenerator._generate_inferences_for_single_user_invocation"
)
mocker.patch(
"google.adk.evaluation.evaluation_generator.EvaluationGenerator._get_app_details_by_invocation_id"
)
mocker.patch(
"google.adk.evaluation.evaluation_generator.EvaluationGenerator.convert_events_to_eval_invocations"
)
# Each call to _generate_inferences_for_single_user_invocation will
# yield one user and one agent event.
async def mock_generate_inferences_side_effect(
runner, user_id, session_id, user_content
):
yield _build_event("user", user_content.parts, "inv1")
yield _build_event("agent", [types.Part(text="agent_response")], "inv1")
mock_generate_inferences.side_effect = mock_generate_inferences_side_effect
await EvaluationGenerator._generate_inferences_from_root_agent(
root_agent=mock_agent,
user_simulator=mock_user_sim,
)
# Check that user simulator was called until it stopped.
assert mock_user_sim.get_next_user_message.call_count == 2
# Check that we generated inferences for each user message.
assert mock_generate_inferences.call_count == 1
# Check the content of the user messages passed to inference generation
mock_generate_inferences.assert_called_once()
called_with_content = mock_generate_inferences.call_args.args[3]
assert called_with_content.parts[0].text == "message 1"