Files
adk-python/tests/unittests/evaluation/test_evaluation_generator.py
T
Ankur SharmaandCopybara-Service 01923a9227 feat: Data model for storing App Details and data model for steps
Details:
1. Data model for storing App Details (the agentic system)
As we move towards LLM as Judge metrics, we see that some of these metrics need information about the Agentic system that was used for inferencing. We add a data model to capture that.

2. Data model for Steps
We refine the concept of intermediate data. Previously it stored data in the form of a multiple lists, thereby losing out on the chronological information. This information is needed for some of the metrics. So we refine the concept of intermediate data as series of logical steps that an Agent Take.

PiperOrigin-RevId: 811122784
2025-09-24 18:41:38 -07:00

198 lines
6.4 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.evaluation_generator import EvaluationGenerator
from google.adk.events.event import Event
from google.genai import types
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"