chore: import upstream snapshot with attribution
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This commit is contained in:
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# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Tests for ToolNode input parsing and execution."""
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from typing import Any
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from google.adk.events.event import Event
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from google.adk.tools.base_tool import BaseTool
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from google.adk.workflow import START
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from google.adk.workflow._tool_node import _ToolNode as ToolNode
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from google.adk.workflow._workflow import Workflow
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from google.genai import types
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import pytest
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from . import workflow_testing_utils
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from .. import testing_utils
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class MockTool(BaseTool):
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"""A mock tool that returns the args it was called with."""
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def __init__(self, name="mock_tool", description="Mock tool"):
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super().__init__(name=name, description=description)
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async def run_async(self, *, args: dict[str, Any], tool_context) -> Any:
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return args
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async def _run_tool_node_wf(node_input: Any) -> list[Any]:
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"""Runs a workflow with a ToolNode that receives node_input."""
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tool_node = ToolNode(tool=MockTool())
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def start_node():
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return Event(output=node_input)
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wf = Workflow(
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name="tool_node_test_wf",
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edges=[
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(START, start_node),
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(start_node, tool_node),
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],
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)
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app_instance = testing_utils.App(name="test_app", root_agent=wf)
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runner = testing_utils.InMemoryRunner(app=app_instance)
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events = await runner.run_async("start")
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return workflow_testing_utils.simplify_events_with_node(events)
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@pytest.mark.asyncio
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async def test_tool_node_accepts_dict():
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"""Tests that ToolNode accepts a dict as input and passes it to the tool."""
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input_dict = {"param_a": 1, "param_b": "value"}
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simplified = await _run_tool_node_wf(input_dict)
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assert (
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"tool_node_test_wf@1/mock_tool@1",
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{"output": input_dict},
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) in simplified
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@pytest.mark.asyncio
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async def test_tool_node_accepts_none():
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"""Tests that ToolNode accepts None, converting it to an empty dict."""
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simplified = await _run_tool_node_wf(None)
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assert ("tool_node_test_wf@1/mock_tool@1", {"output": {}}) in simplified
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@pytest.mark.asyncio
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@pytest.mark.parametrize("empty_input", ["", " ", "\n\t"])
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async def test_tool_node_accepts_empty_string(empty_input):
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"""Tests that ToolNode treats an empty/whitespace string as no arguments."""
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simplified = await _run_tool_node_wf(empty_input)
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assert ("tool_node_test_wf@1/mock_tool@1", {"output": {}}) in simplified
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@pytest.mark.asyncio
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async def test_tool_node_accepts_json_string():
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"""Tests that ToolNode accepts a valid JSON string representing a dict."""
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json_str = '{"param_a": 1, "param_b": "value"}'
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simplified = await _run_tool_node_wf(json_str)
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assert (
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"tool_node_test_wf@1/mock_tool@1",
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{"output": {"param_a": 1, "param_b": "value"}},
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) in simplified
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@pytest.mark.asyncio
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async def test_tool_node_accepts_content_with_json_string():
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"""Tests that ToolNode accepts a types.Content containing a JSON string."""
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json_str = '{"param_a": 1, "param_b": "value"}'
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content = types.Content(
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parts=[types.Part.from_text(text=json_str)], role="user"
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)
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simplified = await _run_tool_node_wf(content)
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assert (
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"tool_node_test_wf@1/mock_tool@1",
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{"output": {"param_a": 1, "param_b": "value"}},
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) in simplified
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@pytest.mark.asyncio
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async def test_tool_node_rejects_non_dict_json_string():
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"""Tests that ToolNode raises TypeError if JSON string represents a non-dict (e.g. list)."""
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json_str = "[1, 2, 3]"
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with pytest.raises(
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TypeError, match="The input to ToolNode must be a dictionary"
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):
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await _run_tool_node_wf(json_str)
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@pytest.mark.asyncio
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async def test_tool_node_rejects_invalid_json_string():
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"""Tests that ToolNode raises TypeError if string input is not valid JSON."""
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invalid_str = "not a json"
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with pytest.raises(
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TypeError, match="The input to ToolNode must be a dictionary"
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):
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await _run_tool_node_wf(invalid_str)
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@pytest.mark.asyncio
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async def test_tool_node_rejects_non_dict_content():
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"""Tests that ToolNode raises TypeError if Content contains non-dict text."""
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content = types.Content(
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parts=[types.Part.from_text(text="not a json")], role="user"
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)
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with pytest.raises(
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TypeError, match="The input to ToolNode must be a dictionary"
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):
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await _run_tool_node_wf(content)
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