Files
google--adk-python/tests/unittests/agents/test_langgraph_agent.py
T
wehub-resource-sync ec2b666284
Continuous Integration / Pre-commit Linter (push) Has been cancelled
Continuous Integration / Mypy Check (Python 3.10) (push) Has been cancelled
Continuous Integration / Mypy Check (Python 3.11) (push) Has been cancelled
Continuous Integration / Mypy Check (Python 3.12) (push) Has been cancelled
Continuous Integration / Mypy Check (Python 3.13) (push) Has been cancelled
Continuous Integration / Unit Tests (Python 3.10) (push) Has been cancelled
Continuous Integration / Unit Tests (Python 3.11) (push) Has been cancelled
Continuous Integration / Unit Tests (Python 3.12) (push) Has been cancelled
Continuous Integration / Unit Tests (Python 3.13) (push) Has been cancelled
Continuous Integration / Unit Tests (Python 3.14) (push) Has been cancelled
Continuous Integration / A2A v0.3 Tests (Python 3.10) (push) Has been cancelled
Continuous Integration / A2A v0.3 Tests (Python 3.11) (push) Has been cancelled
Continuous Integration / A2A v0.3 Tests (Python 3.12) (push) Has been cancelled
Copybara PR Handler / close-imported-pr (push) Has been cancelled
Continuous Integration / A2A v0.3 Tests (Python 3.13) (push) Has been cancelled
Continuous Integration / A2A v0.3 Tests (Python 3.14) (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

265 lines
9.6 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.
from unittest.mock import MagicMock
import pytest
# Skip all tests in this module if LangGraph dependencies are not available
LANGGRAPH_AVAILABLE = True
try:
from google.adk.agents.invocation_context import InvocationContext
from google.adk.agents.langgraph_agent import LangGraphAgent
from google.adk.events.event import Event
from google.adk.plugins.plugin_manager import PluginManager
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
except ImportError:
LANGGRAPH_AVAILABLE = False
# IMPORTANT: Dummy classes are REQUIRED in this file but NOT in A2A test files.
# Here's why this file is different from A2A test files:
#
# 1. MODULE-LEVEL USAGE IN DECORATORS:
# This file uses @pytest.mark.parametrize decorator with complex nested structures
# that directly reference imported types like Event(), types.Content(), types.Part.from_text().
# These decorator expressions are evaluated during MODULE COMPILATION TIME,
# not during test execution time.
#
# 2. A2A TEST FILES PATTERN:
# Most A2A test files only use imported types within test method bodies:
# - Inside test functions: def test_something(): Message(...)
# - These are evaluated during TEST EXECUTION TIME when tests are skipped
# - No NameError occurs because skipped tests don't execute their bodies
#
# 3. WHAT HAPPENS WITHOUT DUMMIES:
# If we remove dummy classes from this file:
# - Python tries to compile the @pytest.mark.parametrize decorator
# - It encounters Event(...), types.Content(...), etc.
# - These names are undefined → NameError during module compilation
# - Test collection fails before pytest.mark.skipif can even run
#
# 4. WHY DUMMIES WORK:
# - DummyTypes() can be called like Event() → returns DummyTypes instance
# - DummyTypes.__getattr__ handles types.Content → returns DummyTypes instance
# - DummyTypes.__call__ handles types.Part.from_text() → returns DummyTypes instance
# - The parametrize decorator gets dummy objects instead of real ones
# - Tests still get skipped due to pytestmark, so dummies never actually run
#
# 5. EXCEPTION CASES IN A2A FILES:
# A few A2A files DID need dummies initially because they had:
# - Type annotations: def create_helper(x: str) -> Message
# - But we removed those type annotations to eliminate the need for dummies
#
# This file cannot avoid dummies because the parametrize decorator usage
# is fundamental to the test structure and cannot be easily refactored.
class DummyTypes:
def __getattr__(self, name):
return DummyTypes()
def __call__(self, *args, **kwargs):
return DummyTypes()
InvocationContext = DummyTypes()
LangGraphAgent = DummyTypes()
Event = DummyTypes()
PluginManager = DummyTypes()
types = (
DummyTypes()
) # Must support chained calls like types.Content(), types.Part.from_text()
AIMessage = DummyTypes()
HumanMessage = DummyTypes()
SystemMessage = DummyTypes()
CompiledGraph = DummyTypes()
pytestmark = pytest.mark.skipif(
not LANGGRAPH_AVAILABLE, reason="LangGraph dependencies not available"
)
@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_parent_context._state_schema = None
mock_session = MagicMock()
mock_parent_context.session = mock_session
mock_parent_context.user_content = types.Content(
role="user", parts=[types.Part.from_text(text="test prompt")]
)
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
mock_parent_context.plugin_manager = PluginManager(plugins=[])
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}},
)