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chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

102 lines
2.8 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
from google.adk.integrations.langchain import LangchainTool
from langchain_core.tools import tool
from langchain_core.tools.structured import StructuredTool
from pydantic import BaseModel
import pytest
@tool
async def async_add_with_annotation(x, y) -> int:
"""Adds two numbers"""
return x + y
@tool
def sync_add_with_annotation(x, y) -> int:
"""Adds two numbers"""
return x + y
async def async_add(x, y) -> int:
return x + y
def sync_add(x, y) -> int:
return x + y
class AddSchema(BaseModel):
x: int
y: int
test_langchain_async_add_tool = StructuredTool.from_function(
async_add,
name="add",
description="Adds two numbers",
args_schema=AddSchema,
)
test_langchain_sync_add_tool = StructuredTool.from_function(
sync_add,
name="add",
description="Adds two numbers",
args_schema=AddSchema,
)
@pytest.mark.asyncio
async def test_raw_async_function_works():
"""Test that passing a raw async function to LangchainTool works correctly."""
langchain_tool = LangchainTool(tool=test_langchain_async_add_tool)
result = await langchain_tool.run_async(
args={"x": 1, "y": 3}, tool_context=MagicMock()
)
assert result == 4
@pytest.mark.asyncio
async def test_raw_sync_function_works():
"""Test that passing a raw sync function to LangchainTool works correctly."""
langchain_tool = LangchainTool(tool=test_langchain_sync_add_tool)
result = await langchain_tool.run_async(
args={"x": 1, "y": 3}, tool_context=MagicMock()
)
assert result == 4
@pytest.mark.asyncio
async def test_raw_async_function_with_annotation_works():
"""Test that passing a raw async function to LangchainTool works correctly."""
langchain_tool = LangchainTool(tool=async_add_with_annotation)
result = await langchain_tool.run_async(
args={"x": 1, "y": 3}, tool_context=MagicMock()
)
assert result == 4
@pytest.mark.asyncio
async def test_raw_sync_function_with_annotation_works():
"""Test that passing a raw sync function to LangchainTool works correctly."""
langchain_tool = LangchainTool(tool=sync_add_with_annotation)
result = await langchain_tool.run_async(
args={"x": 1, "y": 3}, tool_context=MagicMock()
)
assert result == 4