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