mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
d04e899b56
We need to use a different version of numpy for py3.8 and py3.12 in
pyproject.
And so do projects that use that Python version range and import
langchain.
- **Twitter handle:** _cbornet
101 lines
3.5 KiB
Python
101 lines
3.5 KiB
Python
"""Test tool utils."""
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import unittest
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from typing import Any, Type
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from unittest.mock import MagicMock, Mock
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import pytest
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from langchain.agents.agent import Agent
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from langchain.agents.chat.base import ChatAgent
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from langchain.agents.conversational.base import ConversationalAgent
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from langchain.agents.conversational_chat.base import ConversationalChatAgent
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from langchain.agents.mrkl.base import ZeroShotAgent
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from langchain.agents.react.base import ReActDocstoreAgent, ReActTextWorldAgent
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from langchain.agents.self_ask_with_search.base import SelfAskWithSearchAgent
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from langchain_core.tools import Tool, ToolException, tool
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from langchain_community.agent_toolkits.load_tools import load_tools
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from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
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@pytest.mark.parametrize(
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"agent_cls",
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[
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ZeroShotAgent,
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ChatAgent,
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ConversationalChatAgent,
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ConversationalAgent,
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ReActDocstoreAgent,
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ReActTextWorldAgent,
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SelfAskWithSearchAgent,
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],
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)
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def test_single_input_agent_raises_error_on_structured_tool(
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agent_cls: Type[Agent],
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) -> None:
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"""Test that older agents raise errors on older tools."""
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@tool
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def the_tool(foo: str, bar: str) -> str:
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"""Return the concat of foo and bar."""
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return foo + bar
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with pytest.raises(
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ValueError,
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match=f"{agent_cls.__name__} does not support" # type: ignore
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f" multi-input tool the_tool.",
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):
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agent_cls.from_llm_and_tools(MagicMock(), [the_tool]) # type: ignore
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def test_tool_no_args_specified_assumes_str() -> None:
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"""Older tools could assume *args and **kwargs were passed in."""
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def ambiguous_function(*args: Any, **kwargs: Any) -> str:
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"""An ambiguously defined function."""
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return args[0]
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some_tool = Tool(
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name="chain_run",
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description="Run the chain",
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func=ambiguous_function,
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)
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expected_args = {"tool_input": {"type": "string"}}
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assert some_tool.args == expected_args
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assert some_tool.run("foobar") == "foobar"
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assert some_tool.run({"tool_input": "foobar"}) == "foobar"
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with pytest.raises(ToolException, match="Too many arguments to single-input tool"):
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some_tool.run({"tool_input": "foobar", "other_input": "bar"})
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def test_load_tools_with_callback_manager_raises_deprecation_warning() -> None:
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"""Test load_tools raises a deprecation for old callback manager kwarg."""
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callback_manager = MagicMock()
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with pytest.warns(DeprecationWarning, match="callback_manager is deprecated"):
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tools = load_tools(
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["requests_get"],
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callback_manager=callback_manager,
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allow_dangerous_tools=True,
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)
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assert len(tools) == 1
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assert tools[0].callbacks == callback_manager
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def test_load_tools_with_callbacks_is_called() -> None:
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"""Test callbacks are called when provided to load_tools fn."""
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callbacks = [FakeCallbackHandler()]
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tools = load_tools(
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["requests_get"], # type: ignore
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callbacks=callbacks, # type: ignore
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allow_dangerous_tools=True,
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)
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assert len(tools) == 1
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# Patch the requests.get() method to return a mock response
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with unittest.mock.patch(
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"langchain.requests.TextRequestsWrapper.get",
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return_value=Mock(text="Hello world!"),
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):
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result = tools[0].run("https://www.google.com")
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assert result.text == "Hello world!"
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assert callbacks[0].tool_starts == 1
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assert callbacks[0].tool_ends == 1
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