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# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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.
import unittest
import pytest
from smolagents.agent_types import _AGENT_TYPE_MAPPING
from smolagents.default_tools import DuckDuckGoSearchTool, PythonInterpreterTool, SpeechToTextTool, VisitWebpageTool
from .test_tools import ToolTesterMixin
class DefaultToolTests(unittest.TestCase):
def test_visit_webpage(self):
arguments = {"url": "https://en.wikipedia.org/wiki/United_States_Secretary_of_Homeland_Security"}
result = VisitWebpageTool()(arguments)
assert isinstance(result, str)
assert "* [About Wikipedia](/wiki/Wikipedia:About)" in result # Proper wikipedia pages have an About
def test_ddgs_with_kwargs(self):
result = DuckDuckGoSearchTool(timeout=20)("DeepSeek parent company")
assert isinstance(result, str)
class PythonInterpreterToolTester(unittest.TestCase, ToolTesterMixin):
def setUp(self):
self.tool = PythonInterpreterTool(authorized_imports=["numpy"])
self.tool.setup()
def test_exact_match_arg(self):
result = self.tool("(2 / 2) * 4")
self.assertEqual(result, "Stdout:\n\nOutput: 4.0")
def test_exact_match_kwarg(self):
result = self.tool(code="(2 / 2) * 4")
self.assertEqual(result, "Stdout:\n\nOutput: 4.0")
def test_agent_type_output(self):
inputs = ["2 * 2"]
output = self.tool(*inputs, sanitize_inputs_outputs=True)
output_type = _AGENT_TYPE_MAPPING[self.tool.output_type]
self.assertTrue(isinstance(output, output_type))
def test_agent_types_inputs(self):
inputs = ["2 * 2"]
_inputs = []
for _input, expected_input in zip(inputs, self.tool.inputs.values()):
input_type = expected_input["type"]
if isinstance(input_type, list):
_inputs.append([_AGENT_TYPE_MAPPING[_input_type](_input) for _input_type in input_type])
else:
_inputs.append(_AGENT_TYPE_MAPPING[input_type](_input))
# Should not raise an error
output = self.tool(*inputs, sanitize_inputs_outputs=True)
output_type = _AGENT_TYPE_MAPPING[self.tool.output_type]
self.assertTrue(isinstance(output, output_type))
def test_imports_work(self):
result = self.tool("import numpy as np")
assert "import from numpy is not allowed" not in result.lower()
def test_unauthorized_imports_fail(self):
with pytest.raises(Exception) as e:
self.tool("import sympy as sp")
assert "sympy" in str(e).lower()
class TestSpeechToTextTool:
def test_new_instance(self):
from transformers.models.whisper import WhisperForConditionalGeneration, WhisperProcessor
tool = SpeechToTextTool()
assert tool is not None
assert tool.pre_processor_class == WhisperProcessor
assert tool.model_class == WhisperForConditionalGeneration
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